Adrenal Cushing’s Syndrome in Pregnancy Complicated by Fetal Growth Restriction Following Retroperitoneoscopic Adrenalectomy

Posted on December 7, 2025 by MaryO

Abstract

A 29-year-old Japanese pregnant woman, G5P3A1, conceived spontaneously and was referred to our hospital because of uncontrolled hypertension at 24 weeks of gestation. On admission, she presented with physical findings characteristic of Cushing’s syndrome (CS), such as moon face, buffalo hump, and reddish-purple striae. Laboratory examination revealed hyperglycemia and hypercortisolism with suppressed adrenocorticotropic hormone levels. Imaging studies revealed a right adrenocortical adenoma, and the patient was clinically diagnosed with adrenal CS. At 28 weeks, she underwent retroperitoneoscopic adrenalectomy, which normalized maternal cortisol levels and improved metabolic abnormalities. Despite these improvements, she was diagnosed with fetal growth restriction accompanied by superimposed preeclampsia at approximately 33 weeks. The maternal serum soluble fms-like kinase 1 (sFlt-1)/placental growth factor (PlGF) ratio was markedly elevated. At 36 weeks, an emergency cesarean section was performed for fetal compromise, resulting in the delivery of a small-for-gestational-age infant. Histopathological examination of the placenta revealed ischemic changes consistent with placental insufficiency. Both the mother and infant were discharged in stable conditions. The present case shows that although adrenalectomy during pregnancy can correct endocrine abnormalities, it does not necessarily prevent subsequent fetal growth restriction.

Introduction

Cushing’s syndrome (CS) is an endocrine disorder caused by chronic hypercortisolism. Because cortisol can disrupt ovulation, leading to menstrual irregularities and infertility [1,2], pregnancy in women with CS is exceedingly rare. Moreover, diagnosis during pregnancy is particularly challenging as many hallmark features of hypercortisolism – fatigue, weight gain, acne, and mood instability – are common in normal pregnancies.

Untreated CS during gestation is associated with substantially increased maternal and perinatal morbidity and mortality. Aggressive management during gestation, including cortisol synthesis inhibitors or surgical resection of pituitary adenomas or adrenal tumors, has been shown to improve maternal and fetal outcomes [3-5]. However, intensive treatment may not fully reduce the risks of fetal growth restriction and preterm delivery [5,6], and the underlying reason for this remains unclear.

Herein, we report a case of adrenal CS in a pregnant woman who underwent retroperitoneoscopic adrenalectomy at 28 weeks of gestation. Despite achieving biochemical remission of hypercortisolism after surgery, she developed fetal growth restriction and required preterm cesarean delivery due to fetal compromise.

This article was previously presented as a meeting abstract at (1) the 97th Annual Congress of the JES on June 7, 2024; (2) the 60th Annual Congress of JSPNM on July 15, 2024; and (3) the 47th Annual Meeting of JSGOS on November 24, 2024.

Case Presentation

A 29-year-old Japanese woman with a G5P3A1 conceived spontaneously. She had no medical history other than asthma and no particular familial history. She began receiving antenatal care at a nearby facility during the first trimester. She did not undergo screening tests for predicting the development of preeclampsia (PE), such as the first-trimester ultrasound at 11-14 weeks or pregnancy-associated plasma protein A assessment. Her casual blood glucose level was 87 mg/dL at 10+6 weeks of gestation. Initially, she was normotensive, but her blood pressure gradually increased to 144/100 mmHg at 18 weeks of gestation, and diagnosed as having chronic hypertension. Thereafter, her hypertension worsened, reaching 177/100 mmHg at 21 weeks of gestation, and she was diagnosed with superimposed PE. Around the same time, her body weight increased by 11.5 kg from the pre-pregnancy weight (from 58.5 kg to 70 kg), and generalized edema developed. As a result, she was admitted to the referring hospital and started taking antihypertensive treatment with oral methyldopa 750 mg/day, which lowered her blood pressure to a range of 130-150/80-100 mmHg, decreased her body weight to 66.5 kg, and improved the generalized edema. Although she was discharged from the hospital, her blood pressure increased again; thus, she was transferred to our institution, a tertiary referral perinatal medical center, at 24+6 weeks of gestation for subsequent perinatal management.

At her initial visit, her height and body weight were 153 cm and 66.2 kg, respectively. Her vital signs were as follows: body temperature 36.0℃, blood pressure 159/115 mmHg with the use of antihypertensive medication, and heart rate 80/min. She had an obvious full-moon face, acne vulgaris (Figure 1A), a buffalo hump, and reddish-purple striae on her abdomen and thighs (Figures 1B, 1C). She also had bilateral pitting edema in her lower legs and thin skin on the backs of her hands. No anemic palpebral conjunctiva, cervical lymphadenopathy, or thyroid enlargement was observed.

Macroscopic-findings-characteristic-of-Cushing’s-syndrome
Figure 1: Macroscopic findings characteristic of Cushing’s syndrome

(A) Moon face, (B) reddish-purple striae

on abdomen, and (C) reddish-purple striae on thighs.

An increased neutrophil count and decreased eosinophil count were observed, although the white blood cell count was within the normal range (Table 1). Biochemical analysis showed that the serum potassium level was decreased (2.3 mEq/L). The serum total protein, albumin, blood urea nitrogen, and cholinesterase levels were mildly decreased. Renal function, hepatic function, and lipid profiles were within normal limits, except for elevated triglyceride levels. A spot urine test indicated an elevated urine protein-to-creatinine ratio (0.436 g/gCr) (Table 2). Regarding diabetes-related tests, fasting plasma glucose (91 mg/dL), glycated hemoglobin (HbA1c) (5.4%), and glycated albumin (GA) (12.9%) were all within their normal ranges. The serum C-peptide level was elevated. A 75 g oral glucose tolerance test (OGTT) conducted at 25+4 weeks of gestation showed serum glucose levels of 191 mg/dL at one hour and 212 mg/dL at two hours (Table 2), indicating postprandial hyperglycemia. Endocrinological evaluation revealed elevated morning serum cortisol levels with loss of diurnal variation. This hypercortisolism is accompanied by suppressed plasma adrenocorticotropic hormone (ACTH) levels (Table 3). The 24-hour urinary free cortisol (UFC) level was markedly elevated (1,380 μg/day). In contrast, dehydroepiandrosterone sulfate (DHEA-S) levels decreased. Serum thyroid-stimulating hormone (TSH) was markedly decreased (0.091 IU/mL), accompanied by mild reductions in free T3 (1.65 pg/mL) and free T4 (0.65 ng/dL), which indicated central hypothyroidism. Abdominal ultrasonography revealed a nodule in the right adrenal gland with a maximum diameter of approximately 30 mm (28 × 27 × 25 mm) (Figure 2A). Abdominal magnetic resonance imaging (MRI) detected a 27-mm well-defined nodular lesion at the same location, which demonstrated a signal drop on opposed-phase images (Figure 2B). Obstetric ultrasonography revealed an estimated fetal body weight of 742 g (adequate for gestational age) (Figures 3A–3C), an amniotic fluid index of 16.4 cm (Figure 3D), and no major structural anomalies of the fetus. From the day of referral, oral nifedipine (40 mg/day) was initiated as antihypertensive therapy. Potassium chloride (KCl) was administered orally.

Parameter Test value Reference range
CBC
WBC 8.1×109/L 3.3-8.6 ×109/L
Neut 83.5% 38.5-80.5%
Lymph 10.5% 16.5-49.5%
Mono 5.8% 2.0-10%
Eosino 0.1% 0.0-8.5%
RBC 3.17×1012/L 3.86-4.92 ×1012/L
Hb 11.5 g/dL 11.4-16.8 g/dL
Plt 190×109/L 158-348 ×109/L
Serum Biochemistry
TP 5.7 g/dL 6.6-8.1 g/dL
Alb 3.3 g/dL 4.1-5.1 g/dL
T-Bil 1 mg/dL 0.4-1.5 mg/dL
AST 15 U/L 13-30 U/L
ALT 27 U/L 7-23 U/L
LDH 326 U/L 124-222 U/L
ALP 55 U/L 38-113 U/L
γ-GTP 29 U/L 9-32 U/L
Na 146 mEq/L 138-145 mEq/L
K 2.3 mEq/L 3.6-4.8 mEq/L
Cl 107 mEq/L 101-108 mEq/L
Ca 8.5 mg/dL 8.8-10.1 mg/dL
P 2.1 mg/dL 2.7-4.6 mg/dL
BUN 6 mg/dL 8-20 mg/dL
UA 3.4 mg/dL 2.6-5.5 mg/dL
Cr 0.45 mg/dL 0.46-0.79 mg/dL
CRP 0.1 mg/dL 0-0.14 mg/dL
HDL-C 66 mg/dL 48-103 mg/dL
LDL-C 134 mg/dL 65-163 mg/dL
TG 211 mg/dL 30-117 mg/dL
FPG 91 mg/dL 73-109 mg/dL
HbA1c 5.4% 4.9-6.0%
GA 12.9% 12.3-16.5%
C-peptide 3.7 ng/mL 0.6-1.8 ng/mL
Endocrinology
Adrenaline <0.01 ng/mL <0.17 ng/mL
Noradrenaline 0.09 ng/mL 0.15-0.57 ng/mL
Dopamine <0.02 ng/mL <0.03 ng/mL
Cortisol 24.7 μg/dL 3.7-19.4 μg/dL
Aldosterone <4.0 pg/mL 4.0-82.1 pg/mL
Renin activity 0.7 ng/mL/hr 0.2-3.9 ng/mL/hr
DHEA-S 43 μg/dL 92-399 μg/dL
TSH 0.091 IU/mL 0.350-4.940 IU/mL
FT3 1.65 pg/mL 1.68-3.67 pg/mL
FT4 0.65 ng/dL 0.70-1.48 ng/dL
Table 1: Laboratory data of CBC, serum biochemistry, and endocrinology

CBC: complete blood count, WBC: white blood cell count, Neut: neutrophil, Lymph: lymphocyte, Mono: monocyte, Eosino: eosinophil, RBC: red blood cell count, Hb: hemoglobin, Plt: platelet count, TP: total protein, Alb: albumin, T-Bil: total bilirubin, AST: aspartate aminotransferase, ALT: alanine aminotransferase, LDH: lactate dehydrogenase, ALP: alkaline phosphatase, γ-GTP: gamma-glutamyl transpeptidase, Na: sodium, K: potassium, Cl: chloride, Ca: calcium, P: phosphorus, BUN: blood urea nitrogen, UA: uric acid, Cr: creatinine, CRP: C-reactive protein, HDL-C: high-density lipoprotein cholesterol, LDL-C: low-density lipoprotein cholesterol, TG: triglyceride, FPG: fasting plasma glucose, HbA1c: hemoglobin A1c, GA: glycated albumin, C-peptide: connecting peptide, DHEA-S: dehydroepiandrosterone sulfate, TSH: thyroid-stimulating hormone, FT3: free triiodothyronine, FT4: free thyroxine

Parameter Test value
75-g OGTT
PG
0 min 91 mg/dL
30 min 153 mg/dL
60 min 191 mg/dL
90 min 204 mg/dL
120 min 225 mg/dL
IRI
0 min 10.8 μU/mL
30 min 29.3 μU/mL
60 min 48.7 μU/mL
90 min 64.6 μU/mL
120 min 91.2 μU/mL
Urinalysis
U-Cr 39 mg/dL
U-TP 17 mg/dL
U-TP/Cr 0.436 g/gCr
Table 2: Laboratory data of 75-g OGTT and urinalysis

OGTT: oral glucose tolerance test, PG: plasma glucose, IRI: immunoreactive insulin, U-Cr: urinary creatinine, U-TP: urinary total protein

Parameter Test value Reference range
ACTH/F diurnal rhythm
ACTH
6:00 AM 2.1 pg/mL 7.2-63.3 pg/mL
4:00 PM 2.0 pg/mL 7.2-63.3 pg/mL
11:00 PM 2.3 pg/mL 7.2-63.3 pg/mL
F
6:00 AM 24.7 μg/dL 3.7-19.4 μg/dL
4:00 PM 25 μg/dL 3.7-19.4 μg/dL
11:00 PM 25.8 μg/dL 3.7-19.4 μg/dL
Table 3: Laboratory data of ACTH/F diurnal rhythm

ACTH: adrenocorticotropic hormone, F: cortisol

Radiological-findings-of-the-right-adrenal-tumor-(white-arrow)
Figure 2: Radiological findings of the right adrenal tumor (white arrow)

(A) Trans-abdominal ultrasonography image and (B) coronal section of the trunk on MRI.

Obstetric-ultrasonography
Figure 3: Obstetric ultrasonography

(A) The plane used for biparietal diameter measurement, (B) the plane used for abdominal circumference measurement, (C) the plane used for femoral length measurement, and (D) the plane used for amniotic fluid index measurement.

Physical examination revealed typical signs of CS, such as a moon face, buffalo hump, and reddish-purple striae. In addition, laboratory findings showed elevated UFC, increased nocturnal serum cortisol levels (>5.0 μg/dL), and suppressed ACTH levels (<5.0 pg/mL). On the basis of these findings, the patient was diagnosed with ACTH-independent CS. Furthermore, imaging studies identified a right adrenal mass, leading to a final diagnosis of CS caused by a right adrenal tumor. Both central hypothyroidism and impaired glucose tolerance were considered secondary complications, primarily caused by hypercortisolemia due to CS. The serum potassium level was maintained at approximately 3.0 mEq/L after the administration of oral KCl. An increase in the nifedipine dose from 20 mg/day to 40 mg/day stabilized the blood pressure at approximately 140/90 mmHg (Figure 4A). Intensive insulin therapy with insulin lispro was initiated on hospital day 4 (Figure 4B), and the insulin dosage was gradually increased for postprandial hyperglycemia. The maximum insulin dose was 41 units/day on day 23 of hospitalization. Throughout this period, the UFC levels remained persistently elevated (Figure 4C).

Clinical-course-between-hospitalization-and-cesarean-delivery
Figure 4: Clinical course between hospitalization and cesarean delivery

(A) Blood pressure trend, (B) total dose of insulin, and (C) urinary free cortisol trend.

A clinical team of obstetricians, urologists, and endocrinologists discussed the treatment plans for CS and perinatal management. Pharmacological treatment had two problems: radicality and risk of fetal adrenal insufficiency due to placental passage of medication; therefore, we decided to perform adrenalectomy during pregnancy. At 28+3 weeks of gestation, a retroperitoneoscopic adrenalectomy was performed by urologists. After the induction of general anesthesia, the patient lay on the bed in a complete left lateral position (Figures 5A, 5B). Consequently, the endoscope and instrument ports were placed in the same configuration as those used in the conventional retroperitoneal approach for nonpregnant patients. Port placements were planned guided by abdominal ultrasonography to identify the uterine position, and the assistant port was positioned at a location that minimized potential interference with the uterus. The surgery was completed without complications. The operative time was 83 minutes, and bleeding was minimal. Histopathological examination indicated that the tumor was an adrenocortical adenoma (Figures 6A–6C).

Photograph-showing-the-patient-in-the-left-lateral-decubitus-position-after-general-anethesia
Figure 5: Photograph showing the patient in the left lateral decubitus position after general anethesia

(A) Abdominal area and (B) dorsal area.

Histopathological-findings-of-the-right-adrenal-gland-(A,-B,-C)-and-placenta-(D)
Figure 6: Histopathological findings of the right adrenal gland (A, B, C) and placenta (D)

(A) Macroscopic view of the right adrenal gland showing the normal adrenal tissue (black asterisk) and the adrenal tumor (white asterisk). (B, C) Microscopic findings of the right adrenal gland and tumor (H&E staining).

(B) Normal adrenal gland (black asterisk) and adrenal tumor (white asterisk) separated by a thin fibrous capsule (black arrow).

(C) Tumor cells with abundant eosinophilic to clear cytoplasm arranged in a trabecular to microacinar growth pattern.

(D) Microscopic findings of the placenta (H&E staining) showing fibrin deposition within villous vessels (black arrow) and chorionic villi with loss of nuclear detail and crowding (black asterisk).

After surgery, the maternal glucose tolerance rapidly improved, and intensive insulin therapy with insulin lispro became unnecessary (Figure 4B). To avoid postoperative adrenal insufficiency, replacement therapy with hydrocortisone was initiated at 200 mg/day immediately after surgery, and the dosage was gradually tapered to 25 mg/day before delivery (Figure 4C). Maternal thyroid function normalized two weeks after surgery. At 29 weeks of gestation, oral nifedipine (40 mg/day) was stopped and blood pressure was monitored; however, high blood pressure was sustained. Therefore, oral nifedipine was resumed at 20 mg/day at 31 weeks of gestation. At approximately 33 weeks of gestation, the fetus exhibited slow growth, leading to a diagnosis of fetal growth restriction. The levels of serum soluble fms-like kinase 1 (sFlt-1)/placental growth factor (PlGF) were 173 (7990/46.1) at 33+0, 299 (11600/38.9) at 34+1, and 316 (15200/48.1) at 35+5 weeks. Trends in the estimated fetal body weight and standard deviation are shown in Figure 7. At 36+1 weeks of gestation, cardiotocography revealed severely prolonged deceleration regardless of the absence of uterine contraction, and an emergency cesarean section was performed. A male infant weighing 1,726 g and 41 cm in height, diagnosed as small for gestational age, was born with Apgar scores of 8 at one minute and 9 at five minutes. The umbilical arterial pH was 7.36. The size and weight of the placenta were 14.7 × 12.8 × 3.0 cm and 315 g, respectively, and histopathological examination revealed findings consistent with ischemic infarction (Figure 6D). Antihypertensive drugs administered to the mother were discontinued on day 8. The mother and neonate were discharged on POD 20. The child achieved normal development at the age of two years.

Trends-in-estimated-fetal-body-weight-(EFBW)-and-standard-deviation-(SD)
Figure 7: Trends in estimated fetal body weight (EFBW) and standard deviation (SD)

Discussion

This case illustrates adrenal CS in pregnancy, complicated by the subsequent development of fetal growth restriction, despite retroperitoneoscopic adrenalectomy at 28 weeks of gestation. Notably, a markedly increased maternal serum sFlt-1/PlGF ratio was detected at the time of diagnosis of fetal growth restriction. To the best of our knowledge, this is the first case in which angiogenic markers were evaluated in a pregnant woman with adrenal CS.

The coexistence of CS and pregnancy is extremely rare [4]. The primary reason for this rarity is infertility, often caused by the hypercortisolism characteristic of CS. Specifically, hypercortisolism suppresses the hypothalamic-pituitary-gonadal axis, leading to impaired follicular development and anovulation by disrupting the secretion of gonadotropin-releasing hormone (GnRH) [1,7]. Pregnancy poses significant challenges in patients with ACTH-dependent CS, in whom excessive ACTH production is accompanied by androgen overproduction. As a result, adrenal etiologies of CS are more common than pituitary-dependent etiologies during pregnancy [3]. Several factors make it difficult to diagnose CS during pregnancy. First, the characteristic physical findings of CS closely mimic physiological changes in normal pregnancy. For example, weight gain, abdominal striae, and edema are common symptoms of both conditions. Therefore, this overlap can cause delayed diagnosis or misdiagnosis of CS during pregnancy [3]. It has been reported that 21.5% of pregnant women with CS are diagnosed only after delivery [3]. Second, physiological hormonal changes during pregnancy complicate the diagnostic process. During gestation, the placenta produces corticotropin-releasing hormone (CRH) and ACTH [8]. Additionally, elevated estrogen levels increase the synthesis of corticosteroid-binding globulin, resulting in a state of physiological hypercortisolism in pregnant women [9,10]. Consequently, the dexamethasone suppression test, which is key to the diagnosis of CS, is often unreliable in pregnant women because of the high incidence of false-positive results [4].

Despite these diagnostic hurdles, certain findings are highly valuable in identifying CS during pregnancy. First, careful examination of physical signs specific to CS, such as skin thinning and the presence of wide, reddish-purple striae, is crucial. Second, the evaluation of diurnal cortisol rhythms was informative. While this rhythm is preserved in normal pregnancy, it is characteristically absent in CS. Therefore, measuring late-night serum cortisol levels is useful for differentiating between these two states [11]. Third, a 24-hour UFC level exceeding three times the upper limit of normal for non-pregnant individuals is strongly suggestive of CS [4,7,9]. In the present case, these key features were decisive for the diagnosis. We found wide, reddish-purple striae, a loss of diurnal cortisol rhythm, and a markedly elevated 24-hour UFC level. Based on these findings, we definitively diagnosed the patient with CS complicating pregnancy.

According to a systematic review of 263 pregnancies complicated by CS, untreated pregnant women were significantly more likely to develop PE than those treated beforehand (26.5% vs. 2.3%) [3]. PE is characterized by defective placentation and impaired spiral artery remodeling, leading to placental ischemia during early pregnancy. Placental ischemia produces sFlt-1, a splice variant of Flt-1 that binds to vascular endothelial growth factor and PlGF and serves as a biochemical marker of endothelial dysfunction that inhibits angiogenesis [12]. Systemic endothelial dysfunction leads to maternal hypertension, proteinuria, and damage to other organs, including the placenta. In this case, placental histopathology indicated ischemic changes without retroplacental hematoma. In addition, a marked elevation of the sFlt-1/PlGF ratio – resulting from both increased sFlt-1 and decreased PlGF – was detected, supporting the presence of placental ischemia due to impaired placentation in early pregnancy.

In this case, several factors may have contributed to the placental ischemia. First, poor control of maternal hyperglycemia or hypertension may have played a role. As hyperglycemia is known to induce oxidative stress [13], it is possible that hyperglycemia in early pregnancy causes placental ischemia indirectly via oxidative stress. Recent studies suggest that hypertension in early pregnancy may contribute to impaired placentation, thereby increasing the risk of subsequent superimposed PE [14,15]. Therefore, chronic hypertension associated with CS may also be related to placental ischemia, although the maternal outpatient blood pressure was within the normal range during early pregnancy in the present case. Second, chronic hypercortisolemia can directly contribute to abnormal placentation. Previous animal experiments have shown that elevated maternal serum cortisol levels enhance uterine arterial contractions [16], which may induce placental ischemia. Furthermore, chronic hypercortisolism may exceed the protective capacity of 11β-hydroxysteroid dehydrogenase type 2 (11β-HSD2), which shields the fetus from excessive cortisol, thereby directly affecting the fetus [17]. Based on these findings, it is presumed that irreversible placental damage had already occurred at the time of the surgical resection in this case. Preconceptional or at least early diagnosis and treatment of CS are crucial for preventing fetal growth restriction associated with superimposed PE after surgery.

The second trimester is generally considered the optimal period for adrenalectomy in pregnant patients with adrenal CS [18]; however, successful procedures have been reported even during the third trimester [6,19]. Endoscopic adrenalectomy is favored over open approaches owing to its reduced morbidity, although direct comparisons between the transperitoneal and retroperitoneal approaches in pregnancy are lacking. In non-pregnant patients, both approaches yield similar operative times, blood loss, and hospital stays [20]. In this case, the retroperitoneal approach was used. This technique offers several advantages during pregnancy as follows: it allows surgery in the lateral position, minimizes inferior vena cava compression by the gravid uterus, avoids entry into the peritoneal cavity, thereby preventing interference from the enlarged uterus, and reduces the risk of intra-abdominal inflammatory spread to the uterus and adjacent organs. Based on our experience and considering the potential advantages of the retroperitoneoscopic approach, we propose that retroperitoneoscopic adrenalectomy should be considered even in the early third trimester, as it may safely prolong gestation and reduce the need for preterm delivery.

Conclusions

This case highlights the challenges of managing adrenal CS during pregnancy. Uncontrolled CS may impair placental development during early pregnancy; therefore, preconceptional or at least early recognition and appropriate management are crucial to minimize the risk of subsequent fetal growth restriction. Further research is needed to clarify the pathophysiological relationship between hypercortisolism and impaired placentation in early pregnancy and to refine strategies for managing this rare but high-risk condition.

References

  1. Castinetti F, Brue T: Impact of Cushing’s syndrome on fertility and pregnancy. Ann Endocrinol (Paris). 2022, 83:188-90. 10.1016/j.ando.2022.04.001
  2. Eschler DC, Kogekar N, Pessah-Pollack R: Management of adrenal tumors in pregnancy. Endocrinol Metab Clin North Am. 2015, 44:381-97. 10.1016/j.ecl.2015.02.006
  3. Caimari F, Valassi E, Garbayo P, Steffensen C, Santos A, Corcoy R, Webb SM: Cushing’s syndrome and pregnancy outcomes: a systematic review of published cases. Endocrine. 2017, 55:555-63. 10.1007/s12020-016-1117-0
  4. Hamblin R, Coulden A, Fountas A, Karavitaki N: The diagnosis and management of Cushing’s syndrome in pregnancy. J Neuroendocrinol. 2022, 34:e13118. 10.1111/jne.13118
  5. Sammour RN, Saiegh L, Matter I, et al.: Adrenalectomy for adrenocortical adenoma causing Cushing’s syndrome in pregnancy: a case report and review of literature. Eur J Obstet Gynecol Reprod Biol. 2012, 165:1-7. 10.1016/j.ejogrb.2012.05.030
  6. Martínez García R, Martínez Pérez A, Domingo del Pozo C, Sospedra Ferrer R: Cushing’s syndrome in pregnancy. Laparoscopic adrenalectomy during pregnancy: the mainstay treatment. J Endocrinol Invest. 2016, 39:273-6. 10.1007/s40618-015-0345-0
  7. Younes N, St-Jean M, Bourdeau I, Lacroix A: Endogenous Cushing’s syndrome during pregnancy. Rev Endocr Metab Disord. 2023, 24:23-38. 10.1007/s11154-022-09731-y
  8. Sasaki A, Shinkawa O, Margioris AN, et al.: Immunoreactive corticotropin-releasing hormone in human plasma during pregnancy, labor, and delivery. J Clin Endocrinol Metab. 1987, 64:224-9. 10.1210/jcem-64-2-224
  9. Jung C, Ho JT, Torpy DJ, et al.: A longitudinal study of plasma and urinary cortisol in pregnancy and postpartum. J Clin Endocrinol Metab. 2011, 96:1533-40. 10.1210/jc.2010-2395
  10. Petraglia F, Sawchenko PE, Rivier J, Vale W: Evidence for local stimulation of ACTH secretion by corticotropin-releasing factor in human placenta. Nature. 1987, 328:717-19. 10.1038/328717a0
  11. Savas M, Mehta S, Agrawal N, van Rossum EF, Feelders RA: Approach to the patient: diagnosis of Cushing syndrome. J Clin Endocrinol Metab. 2022, 107:3162-74. 10.1210/clinem/dgac492
  12. Jung E, Romero R, Yeo L, et al.: The etiology of preeclampsia. Am J Obstet Gynecol. 2022, 226:S844-66. 10.1016/j.ajog.2021.11.1356
  13. González P, Lozano P, Ros G, Solano F: Hyperglycemia and oxidative stress: an integral, updated and critical overview of their metabolic interconnections. Int J Mol Sci. 2023, 24:9352. 10.3390/ijms24119352
  14. Ueda A, Hasegawa M, Matsumura N, et al.: Lower systolic blood pressure levels in early pregnancy are associated with a decreased risk of early-onset superimposed preeclampsia in women with chronic hypertension: a multicenter retrospective study. Hypertens Res. 2022, 45:135-45. 10.1038/s41440-021-00763-6
  15. Burton GJ, Jauniaux E: Pathophysiology of placental-derived fetal growth restriction. Am J Obstet Gynecol. 2018, 218:S745-61. 10.1016/j.ajog.2017.11.577
  16. Xiao D, Huang X, Bae S, Ducsay CA, Zhang L: Cortisol-mediated potentiation of uterine artery contractility: effect of pregnancy. Am J Physiol Heart Circ Physiol. 2002, 283:H238-46. 10.1152/ajpheart.00842.2001
  17. Albiston AL, Obeyesekere VR, Smith RE, Krozowski ZS: Cloning and tissue distribution of the human 11 beta-hydroxysteroid dehydrogenase type 2 enzyme. Mol Cell Endocrinol. 1994, 105:11-17. 10.1016/0303-7207(94)90176-7
  18. Wang Y, An Y, Hou X, et al.: Cushing’s syndrome in pregnancy secondary to adrenocortical adenoma: a case series and review. Endocrinol Diabetes Metab. 2024, 7:e00474. 10.1002/edm2.474
  19. Shaw JA, Pearson DW, Krukowski ZH, Fisher PM, Bevan JS: Cushing’s syndrome during pregnancy: curative adrenalectomy at 31 weeks gestation. Eur J Obstet Gynecol Reprod Biol. 2002, 105:189-91. 10.1016/s0301-2115(02)00148-3
  20. Nigri G, Rosman AS, Petrucciani N, et al.: Meta-analysis of trials comparing laparoscopic transperitoneal and retroperitoneal adrenalectomy. Surgery. 2013, 153:111-19. 10.1016/j.surg.2012.05.042

From https://www.cureus.com/articles/425273-adrenal-cushings-syndrome-in-pregnancy-complicated-by-fetal-growth-restriction-following-retroperitoneoscopic-adrenalectomy#!/

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Changing face of Cushing’s Disease Over Three Decades in Pituitary Center

Posted on October 1, 2025 by MaryO

Abstract

Objective

Cushing Disease (CD) presents with typical clinical findings, even though, there is a wide spectrum of manifestations. Over the years, the sings and symptoms of Cushing’s syndrome (CS) have become more subtle and atypical forms of CS have emerged. In this study, we aimed to investigate the changes in the clinical presentation of CD in recent years.

Materials and methods

In this study, CD patients followed by our center were examined. A total of 258 patients with CD were included in the study. The clinical findings at the time of presentation, laboratory and imaging findings, treatment modalities and remission status in the first year after treatment were evaluated.

Results

The mean age of the patients included in the study was 41.3 ±13.28 years. CD patients diagnosed between 2013 and 2023 were older than those diagnosed between 1990 and 2012 (p < 0.001). There was no difference between the groups in terms of gender. Moon face, purple striae, hirsutism, and menstrual irregularities were statistically significantly less frequent in the last 10 years than in previous years (p < 0.001; p = 0.004; p < 0.001; p < 0.001, respectively). In addition, patients who applied after 2013 had lower baseline cortisol and adrenocorticotropic hormone (ACTH) levels, and a smaller median size of the pituitary adenoma. Limitations of the study include its retrospective design and the subjectivity of clinical data.

Conclusion

As the clinical presentation of Cushing’s disease changes over time, waiting for the typical Cushing’s clinic can delay diagnosis. It is important that clinicians take this into account when they suspect CD.

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Therapeutic Options for the Prevention of Thromboses in Cushing’s Syndrome

Posted on June 24, 2025 by MaryO

Abstract

Introduction

Cushing’s syndrome, or hypercortisolism, occurs after prolonged exposure to excess cortisol, and can be characterized by moon facies, central fat redistribution, proximal limb muscle weakness and wasting, and abdominal striae. Medical literature points to a relationship between hypercortisolism and hypercoagulability, with higher rates of venous thromboembolism noted. Current guidelines recommend prophylaxis with low-molecular weight heparin (LMWH), but there is little evidence to support LMWH over other forms of anticoagulation.

Methods

We utilized TriNetX US Collaborative Network (TriNetX, LLC, Cambridge, Massachusetts, United States) to investigate the efficacy of different forms of anticoagulation in patients with hypercortisolism, defined by International Classification of Diseases, Tenth Revision (ICD-10) codes. Adult patients with hypercortisolism and prescribed enoxaparin, a form of LMWH, were compared to patients with hypercortisolism prescribed unfractionated heparin, warfarin, apixaban, and aspirin at 81 mg. Groups were propensity-matched according to age at index event, sex, race, ethnicity, and comorbid conditions. The outcomes studied included pulmonary embolism (PE), upper extremity deep vein thrombosis (UE DVT), lower extremity deep venous thrombosis (LE DVT), superficial venous thrombosis (superficial VT), bleeding, transfusion, and all-cause mortality.

Results

No significant differences in outcomes were noted between enoxaparin and heparin, warfarin, or apixaban in patients with hypercortisolism of any cause. Uniquely, the enoxaparin cohort had significantly higher risk of PE, LE DVT, and all-cause mortality compared to the aspirin 81 mg cohort (PE: hazard ratio (HR) 1.697, 95%CI 1.444-1.994, p=0.0345; LE DVT: HR 1.492, 95%CI 1.28-1.738, p=0.0017; mortality: HR 1.272, 95%CI 1.167-1.386, p=0.0002). With further sub-analysis of pituitary-dependent (Cushing’s Disease), enoxaparin continued to demonstrate a higher risk for LE DVT (HR 1.677, 95%CI 1.353-2.079, p=0.0081), and all-cause mortality (HR 1.597, 95%CI 1.422-1.794, p=0.0005).

Conclusion

Although LMWH is currently recommended as the gold standard for anticoagulation in patients with hypercortisolism, our evidence suggests that low-dose antiplatelets such as aspirin 81 mg could outperform it. Further research is warranted to confirm and replicate our findings.

Introduction

Cortisol is produced within the zona fasciculata of the adrenal cortex and is typically released under stress [1]. Cushing’s Syndrome, first defined in 1912 by American neurosurgeon Harvey Cushing, is a state of prolonged hypercortisolism, presenting with classic phenotypic manifestations, including moon facies, central fat deposition, proximal limb muscle weakness and muscle wasting, and abdominal striae [2]. Cushing’s syndrome can be exogenous (medication-induced/iatrogenic) or endogenous (ectopic adrenocorticotrophic hormone (ACTH), pituitary-dependent, or adrenal adenoma/carcinoma) [3]. Pituitary adenomas causing ACTH-dependent cortisol excess account for 80% of endogenous cases of Cushing’s Syndrome and are more specifically termed Cushing’s Disease [4]. Overall, however, the most common cause of Cushing’s Syndrome is iatrogenic, from exogenous corticosteroid administration [5].

Hypercortisolism has also been demonstrated to affect coagulation, though the mechanism is unclear [6]. Both venous thromboemboli and pulmonary emboli rates are increased among these patients [7]. The Endocrine Society Guidelines for Treatment of Cushing Syndrome describe altered coagulation profiles that take up to one year to normalize [8]. As a result, limited guidelines recommend prophylactic anticoagulation in Cushing syndrome; while low-molecular-weight heparin (LMWH) is the gold standard, there is little evidence behind this recommendation [9]. Furthermore, few studies assessed individual Cushing’s Syndrome subtypes and associated clotting risks or anticoagulation impact. It is currently unknown whether the antagonistic effects of cortisol will be augmented or hindered by anticoagulation other than LMWH.

This retrospective multicenter study aimed to address this paucity in data by analyzing differences among various forms of anticoagulation. Patients with Cushing syndrome who were on one of three common anticoagulants, or aspirin, were compared to patients with Cushing’s Syndrome on enoxaparin, an LMWH considered the gold standard for prophylaxis in this population. Primary objectives included end-points concerning thromboses (such as pulmonary embolism (PE), upper and lower extremity deep vein thromboses (DVTs), and superficial venous thrombosis (VT)). Secondary objectives included analyzing safety profiles (bleeding, transfusion requirements, and all-cause mortality).

Materials & Methods

Eligibility criteria

TriNetX Global Collaborative network (TriNetX, LLC, Cambridge, Massachusetts, United States), a nationwide database of de-identified health data across multiple large healthcare organizations (HCOs), was utilized to compile patients according to International Classification of Diseases, Tenth Revision (ICD-10) codes (Figure 1).

Flow-chart-for-inclusion-and-exclusion-criteria-for-the-study
Figure 1: Flow chart for inclusion and exclusion criteria for the study

PE: pulmonary embolism; VT: venous thrombosis; DVT: deep vein thrombosis; UE: upper extremity; LE: lower extremity

ICD-10 codes included those related to Cushing’s Syndrome and one of five studied medications: enoxaparin, heparin, apixaban, warfarin, and aspirin, included in Tables 1 and 2, respectively. ICD-10 codes also included those related to outcomes, including PE, upper extremity (UE) DVT, lower extremity (LE) DVT, superficial VT, bleeding, transfusion, and all-cause mortality (Table 3). Measures of association involved calculating risk differences and relative risks (RRs) with 95% confidence intervals (CIs) to compare the proportion of patients experiencing each outcome across cohorts.

Cushing’s Syndrome Type ICD-10 Code
Cushing Syndrome (unspecified) Drug-Induced Cushing Syndrome (UMLS:ICD10CM:E24.2)
Other Cushing Syndrome (UMLS:ICD10CM:E24.8)
Cushing Syndrome, Unspecified (UMLS:ICD10CM:E24.9)
Pituitary-Dependent Cushing Disease (UMLS:ICD10CM:E24.0)
Cushing Syndrome (UMLS:ICD10CM:E24)
Ectopic ACTH Syndrome (UMLS:ICD10CM:E24.3)
Cushing Syndrome (pituitary) Pituitary-Dependent Cushing Disease (UMLS:ICD10CM:E24.0  )
Table 1: International Classification of Disease (ICD)-10 codes utilized to identify patients with Cushing Syndrome in the TriNetX database
Medication ICD-10 Code
Enoxaparin NLM:RXNORM:67108
Warfarin NLM:RXNORM:11289
Heparin NLM:RXNORM:5224
Apixaban NLM:RXNORM:1364430
Aspirin NLM:RXNORM:1191
Table 2: International Classification of Disease (ICD)-10 codes utilized to identify anticoagulants and antiplatelets studied in the TriNetX database
Outcome ICD-10 Codes
Pulmonary Embolism Pulmonary Embolism UMLS:ICD10CM:I26
Upper Extremity DVT Acute embolism and thrombosis of deep veins of unspecified upper extremity UMLS:ICD10CM:I82.629
Chronic embolism and thrombosis of deep veins of unspecified upper extremity UMLS:ICD10CM:I82.729
Acute embolism and thrombosis of deep veins of right upper extremity UMLS:ICD10CM:I82.621
Acute embolism and thrombosis of deep veins of left upper extremity UMLS:ICD10CM:I82.622
Acute embolism and thrombosis of deep veins of upper extremity, bilateral UMLS:ICD10CM:I82.623
Chronic embolism and thrombosis of deep veins of right upper extremity UMLS:ICD10CM:I82.721
Chronic embolism and thrombosis of deep veins of left upper extremity UMLS:ICD10CM:I82.722
Chronic embolism and thrombosis of deep veins of upper extremity, bilateral UMLS:ICD10CM:I82.723
Lower Extremity DVT Acute embolism and thrombosis of unspecified deep veins of unspecified lower extremity UMLS:ICD10CM:I82.409
Chronic embolism and thrombosis of unspecified deep veins of unspecified lower extremity UMLS:ICD10CM:I82.509
Chronic embolism and thrombosis of unspecified deep veins of lower extremity UMLS:ICD10CM:I82.50
Chronic embolism and thrombosis of unspecified deep veins of lower extremity, bilateral UMLS:ICD10CM:I82.503
Acute embolism and thrombosis of unspecified deep veins of lower extremity UMLS:ICD10CM:I82.40
Acute embolism and thrombosis of unspecified deep veins of left lower extremity UMLS:ICD10CM:I82.402
Acute embolism and thrombosis of unspecified deep veins of right lower extremity UMLS:ICD10CM:I82.401
Chronic embolism and thrombosis of unspecified deep veins of left lower extremity UMLS:ICD10CM:I82.502
Chronic embolism and thrombosis of unspecified deep veins of right lower extremity UMLS:ICD10CM:I82.501
Chronic embolism and thrombosis of left femoral vein UMLS:ICD10CM:I82.512
Chronic embolism and thrombosis of right femoral vein UMLS:ICD10CM:I82.511
Acute embolism and thrombosis of right iliac vein UMLS:ICD10CM:I82.421
Chronic embolism and thrombosis of femoral vein, bilateral UMLS:ICD10CM:I82.513
Chronic embolism and thrombosis of unspecified deep veins of unspecified distal lower extremity UMLS:ICD10CM:I82.5Z9
Chronic embolism and thrombosis of unspecified tibial vein UMLS:ICD10CM:I82.549
Acute embolism and thrombosis of deep veins of lower extremity UMLS:ICD10CM:I82.4
Chronic embolism and thrombosis of deep veins of lower extremity UMLS:ICD10CM:I82.5
Chronic embolism and thrombosis of other specified deep vein of unspecified lower extremity UMLS:ICD10CM:I82.599
Acute embolism and thrombosis of unspecified deep veins of unspecified proximal lower extremity UMLS:ICD10CM:I82.4Y9
Superficial VT Embolism and thrombosis of superficial veins of unspecified lower extremity UMLS:ICD10CM:I82.819
Acute embolism and thrombosis of superficial veins of unspecified upper extremity UMLS:ICD10CM:I82.619
Chronic embolism and thrombosis of superficial veins of unspecified upper extremity UMLS:ICD10CM:I82.719
Bleeding Hematemesis UMLS:ICD10CM:K92.0
Hemoptysis UMLS:ICD10CM:R04.2
Hemorrhage from respiratory passages UMLS:ICD10CM:R04
Hemorrhage from other sites in respiratory passages UMLS:ICD10CM:R04.8
Hemorrhage from other sites in respiratory passages UMLS:ICD10CM:R04.89
Melena UMLS:ICD10CM:K92.1
Hemorrhage of anus and rectum UMLS:ICD10CM:K62.5
Epistaxis UMLS:ICD10CM:R04.0
Transfusion Transfusion of Nonautologous Whole Blood into Peripheral Vein, Percutaneous Approach UMLS:ICD10PCS:30233H1
Transfusion of Nonautologous Whole Blood into Central Vein, Percutaneous Approach UMLS:ICD10PCS:30243H1
Transfusion of Nonautologous Red Blood Cells into Peripheral Vein, Percutaneous Approach UMLS:ICD10PCS:30233N1
Transfusion, blood or blood components UMLS:CPT:36430
Transfusion of Nonautologous Red Blood Cells into Central Vein, Percutaneous Approach UMLS:ICD10PCS:30243N1
Transfusion of Nonautologous Frozen Red Cells into Peripheral Vein, Percutaneous Approach UMLS:ICD10PCS:30233P1
Transfusion of Nonautologous Red Blood Cells into Peripheral Artery, Percutaneous Approach (deprecated 2020) UMLS:ICD10PCS:30253N1
Transfusion of Nonautologous Frozen Red Cells into Central Vein, Percutaneous Approach UMLS:ICD10PCS:30243P1
Transfusion of Nonautologous Red Blood Cells into Central Artery, Percutaneous Approach (deprecated 2020) UMLS:ICD10PCS:30263N1
Transfusion of Nonautologous Frozen Red Cells into Peripheral Artery, Percutaneous Approach (deprecated 2020) UMLS:ICD10PCS:30253P1
Transfusion of Nonautologous Frozen Red Cells into Central Artery, Percutaneous Approach (deprecated 2020) UMLS:ICD10PCS:30263P1
Transfusion of blood product UMLS:SNOMED:116859006
Transfusion of red blood cells UMLS:SNOMED:116863004
Mortality Deceased Deceased (demographic)
Table 3: International Classification of Disease (ICD)-10 codes utilized to identify outcomes followed in the TriNetX database

DVT: Deep Venous Thrombosis; VT: Venous Thrombosis

Cohort definitions

For each medication listed, two cohorts were compared: (i) a cohort of patients with hypercortisolism on enoxaparin and (ii) a cohort of patients with hypercortisolism on heparin, warfarin, apixaban, or aspirin at 81 mg (Table 4). The cohorts strictly assessed only adult patients (defined as at least 18 years of age); pediatric patients were not analyzed.

Cohort Run
Enoxaparin 146 HCOs with 99 providers responding with 12,885 patients
Heparin 145 HCOs with 97 providers responding with 16,376 patients
Warfarin 145 HCOs with 82 providers responding with 3,230 patients
Apixaban 146 HCOs with 91 providers responding with 3,982 patients
Aspirin (81 mg) 144 HCOs with 51 providers responding with 8,200 patients
Table 4: Outputs of healthcare organization queries as defined in corresponding tables

HCO: Healthcare Organization

Statistical analysis

Index events and time windows were defined to analyze patient outcomes. The index event was defined as the first date a patient met the inclusion criteria for a cohort. The time window was defined as the five years after the index event during which a pre-defined outcome could occur. Outcomes of interest were identified using ICD-10 codes as outlined in Table 1, and included PE, UE DVT, LE DVT, superficial VT, bleeding, transfusion, and all-cause mortality. Cohorts were propensity score-matched 1:1 according to age at index event, sex, race and ethnicity, and comorbid conditions, including endocrine, cardiac, pulmonary, gastrointestinal, and genitourinary conditions (Table 5). Propensity score-matching was performed using TriNetX, with a greedy (nearest) neighbor matching algorithm (caliper of 0.1 pooled standard deviations).

Variable ICD-10 Code
Demographics Age at Index (AI)
Female (F)
Black/African American (2054-5)
Male (M)
White (2106-3)
American Indian/Alaskan Native (1002-5)
Unknown Race (UNK)
Native Hawaiian/Other Pacific Islander (2076-8)
Unknown Gender (UN)
Not Hispanic/Latino (2186-5)
Hispanic/Latino (2135-2)
Other Race (2131-1)
Asian (2028-9)
Diagnosis Endocrine, nutritional and metabolic diseases (E00-E89)
Factors influencing health status and contact with health services (Z00-Z99)
Diseases of the musculoskeletal system and connective tissue (M00-M99)
Diseases of the circulatory system (I00-I99)
Diseases of the digestive system (K00-K95)
Diseases of the nervous system (G00-G99)
Diseases of the respiratory system (J00-J99)
Diseases of the genitourinary system (N00-N99)
Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism (D50-D89)
Neoplasms (C00-D49)
Diseases of the skin and subcutaneous tissue (L00-L99)
Table 5: International Classification of Disease (ICD)-10 codes utilized to propensity match cohorts in the TriNetX database

Three analytical approaches were performed for this study, including measures of association, survival analysis, and frequency analysis. The measure of association analysis involved calculating RRs (and risk differences) with 95%CIs, comparing the proportion of patients across each cohort experiencing an outcome. Survival analysis was performed with Kaplan-Meier estimators (evaluating time-to-event outcomes), with Log-Rank testing incorporated to compare the survival curves. Furthermore, Cox proportional hazard models were incorporated to provide an estimate of the hazard ratios (HR) and 95%CIs. Patients who exited a cohort before the end of the time window were excluded from the survival analysis. The frequency analysis was performed by calculating the proportion of patients in each cohort who experienced an outcome during the defined period of five years.

For statistically significant associations, an E-value was calculated to assess the potential impact of unmeasured confounders, quantifying the minimum strength of association that would be required by an unmeasured confounder to explain the observed effect (beyond our measured covariates); an E-value of above 2.0 was considered modestly robust, and above 3 was considered strongly robust. Additionally, a limited sensitivity analysis assessing Pituitary Cushing’s (the most common cause of endogenous Cushing’s Syndrome) was performed. All analyses were conducted through TriNetX, with statistical significance defined as a p-value < 0.05.

Results

Cushing’s syndrome, unspecified

Enoxaparin and Heparin

After propensity-score matching, 8,658 patients were identified in each cohort. The average age at index event for the enoxaparin cohort was 54.5 + 16.5 years, compared to 53.1 + 17.3 years for the heparin cohort. The enoxaparin cohort had 6,216 females (71.8%), compared to 6,000 (69.3%) in the heparin cohort. Within the enoxaparin cohort, 6035 (69.7%) were Caucasian patients, followed by 987 (11.4%) African American patients, 753 (8.7%) Hispanic/Latino patients, and 216 (2.5%) Asian patients. The heparin cohort was similar in ethnicity, with 5,800 (67.0%) Caucasian patients, 1,099 (12.7%) African American patients, 753 (8.7%) Hispanic/Latino patients, and 268 (3.1%) Asian patients. The enoxaparin and heparin cohorts demonstrated no significant differences in PE (HR 1.171, 95%CI 1.017-1.348, p=0.1797), UE DVT (HR 1.067, 95%CI 0.837-1.362, p=0.8051), LE DVT (HR 1.066, 95%CI 0.931-1.222, p=0.1922), superficial VT (HR 0.974, 95%CI 0.672-1.41, p=0.4576), bleeding (HR 0.948, 95%CI 0.855-1.05, p=0.3547), transfusion (HR 0.873, 95%CI 0.786-0.969, p=0.1767), or all-cause mortality (HR 1.036, 95%CI 0.966-1.11, p=0.9954). A comprehensive summary of the results is demonstrated in Table 6.

p-value Medication 1 Medication 2 PE UE DVT LE DVT S VT Bleeding Transfusion Mortality
enoxaparin heparin 0.1797 0.8051 0.1922 0.4576 0.3547 0.1767 0.9954
enoxaparin warfarin 0.3828 0.6 0.1963 0.0995 0.7768 0.5715 0.15
enoxaparin apixaban 0.6491 0.6275 0.723 0.4198 0.4356 0.4299 0.2628
enoxaparin aspirin 81 mg 0.0345 0.587 0.0017 0.4218 0.246 0.2057 0.0002
– – – – – – – – – –
HR Medication 1 Medication 2 PE UE DVT LE DVT S VT Bleeding Transfusion Mortality
enoxaparin heparin 1.171 1.067 1.066 0.974 0.948 0.873 1.036
enoxaparin warfarin 0.936 0.969 0.708 0.655 0.961 1.127 1.042
enoxaparin apixaban 0.798 0.666 0.684 4.059 0.933 1.089 1.041
enoxaparin aspirin 81 mg 1.697 1.398 1.492 1.718 1.107 1.347 1.272
– – – – – – – – – –
95% CIs Medication 1 Medication 2 PE UE DVT LE DVT Superficial VT Bleeding Transfusion Mortality
enoxaparin heparin 1.017-1.348 0.837-1.362 0.931-1.222 0.672-1.41 0.855-1.05 0.786-0.969 0.966-1.11
enoxaparin warfarin 0.755-1.161 0.692-1.356 0.583-0.859 0.376-1.142 0.812-1.137 0.95-1.336 0.93-1.167
enoxaparin apixaban 0.608-1.047 0.431-1.03 0.593-0.788 1.156-14.258 0.771-1.129 0.892-1.33 0.912-1.189
enoxaparin aspirin 81 mg 1.444-1.994 1.06-1.845 1.28-1.738 1.011-2.92 0.986-1.243 1.185-1.532 1.167-1.386
Table 6: Hazard Ratio, 95% Confidence Intervals and p-values for anticoagulation and antiplatelet comparisons in all causes of Cushing’s Syndrome

HR: hazard ratio; CI: confidence interval; PE: pulmonary embolism; VT: venous thrombosis; DVT: deep vein thrombosis; UE: upper extremity; LE: lower extremity

Enoxaparin and Warfarin

After propensity-score matching, 2,786 patients were identified in each cohort. The average age at index event for the enoxaparin cohort was 54.8 + 16.4 years, compared to 58.9 + 15.9 years for the warfarin cohort. The enoxaparin cohort had 2,020 female patients (72.5%) compared to 1,861 (66.8%) in the warfarin cohort. Within the enoxaparin cohort, 2,000 (71.8%) were Caucasian patients, followed by 334 (12.0%) African American patients, 220 (7.98%) Hispanic/Latino patients, and 64 (2.3%) Asian patients. The warfarin cohort was similar, with 2,056 (73.8%) Caucasian patients, 312 (11.2%) African American patients, 170 (6.1%) Hispanic/Latino patients, and 92 (3.3%) Asian patients. The enoxaparin and warfarin cohorts demonstrated no significant differences in PE (HR 0.936, 95%CI 0.755-1.161, p=0.3828), UE DVT (HR 0.969, 95%CI 0.692-1.356, p=0.6), LE DVT (HR 0.708, 95%CI 0.583-0.859, p=0.1963), superficial VT (HR 0.655, 95%CI 0.376-1.142, p=0.0995), bleeding (HR 0.961, 95%CI 0.812-1.137, p=0.7768), transfusion (HR 1.127, 95%CI 0.95-1.336, p=0.5715), or all-cause mortality (HR 1.042, 95%CI 0.93-1.167, p=0.15) (Table 6).

Enoxaparin and Apixaban

After propensity-score matching, 2,429 patients were identified in each cohort. The average age at index event for the enoxaparin cohort was 54.6 + 16.4 years, compared to 61.2 + 15.2 years for the apixaban cohort. The enoxaparin cohort had 1,746 female patients (71.9%) compared to 1,571 (64.7%) in the apixaban cohort. Within the enoxaparin cohort, 1632 (67.2%) were Caucasian patients, 318 (13.1%) African American patients, 219 (9.0%) Hispanic/Latino patients, and 68 (2.8%) Asian patients. A similar composition was noted in the apixaban cohort, with 1,683 (69.3%) Caucasian patients, 321 (13.2%) African American patients, 141 (5.8%) Hispanic/Latino patients, and 53 (2.2%) Asian patients. The enoxaparin and apixaban cohorts demonstrated no significant differences in PE (HR 0.798, 95%CI 0.608-1.047, p=0.6491), UE DVT (HR 0.666, 95%CI 0.431-1.03, p=0.6275), LE DVT (HR 0.684, 95%CI 0.593-0.788, p=0.723), superficial VT (HR 4.059, 95%CI 1.156-14.258, p=0.4198), bleeding (HR 0.933, 95%CI 0.771-1.129, p=0.4356), transfusion (HR 1.089, 95%CI 0.892-1.33, p=0.4299), or all-cause mortality (HR 1.041, 95%CI 0.912-1.189, p=0.2628) (Table 6).

Enoxaparin and Aspirin 81 mg

After propensity-score matching, 6,433 patients were identified in each cohort. The average age at index event for the enoxaparin cohort was 54.5 + 16.6 years, compared to the aspirin 81 mg cohort at 58.8 + 14.9 years. The enoxaparin cohort had 4664 female patients (72.5%) compared to 4,445 (69.1%) in the aspirin 81 mg cohort. Within the enoxaparin cohort, 4,522 (70.3%) were Caucasian patients, followed by 766 (11.9%) African American patients, 521 (8.1%) Hispanic/Latino patients, and 193 (3.0%) Asian patients. Similar demographics were noted within the Aspirin 81 mg cohort, with 4,670 (72.6%) Caucasian patients, 817 (12.7%) African American patients, 425 (6.6%) Hispanic/Latino patients, and 167 (2.6%) Asian patients. The enoxaparin cohort demonstrated a significantly higher risk of PE (HR 1.697, 95%CI 1.444-1.994, p=0.0345), LE DVT (HR 1.492, 95%CI 1.28-1.738, p=0.0017), and all-cause mortality (HR 1.272, 95%CI 1.167-1.386, p=0.0002) compared to the aspirin 81 mg cohort (Figure 2). There was no significant difference in rates of UE DVT (HR 1.398, 95%CI 1.06-1.845, p=0.587), superficial VT (HR 1.718, 95%CI 1.011-2.92, p=0.4268), bleeding (HR 1.107, 95%CI 0.986-1.243, p=0.246), or transfusion (HR 1.347, 95%CI 1.185-1.532, p=0.2057) (Table 6). Due to a significant difference between enoxaparin and Aspirin 81 mg, an E-value was calculated for PE (E-value = 2.783), LE DVT (E-value = 2.348), and all-cause mortality (E-value = 1.860).

Kaplan-Meier-survival-curve-for-pituitary-Cushing's-subtype-(mortality,-LE-DVT,-and-PE)
Figure 2: Kaplan-Meier survival curve for pituitary Cushing’s subtype (mortality, LE DVT, and PE)

(A) Mortality of enoxaparin compared to aspirin 81mg (HR 1.272, 95% CI 1.167-1.386, p=0.0002); (B) LE DVT risk with enoxaparin compared to aspirin 81 mg (HR 1.492, 95%CI 1.28-1.738, p=0.0017); (C) PE risk with enoxaparin compared to aspirin 81 mg (HR: 1.697, 95%CI 1.444-1.994, p=0.0345)

DVT: deep vein thrombosis; LE: lower extremity; PE: pulmonary embolism

Pituitary hypercortisolism (Cushing’s disease)

Enoxaparin and Heparin

Propensity-score matching identified 5,602 patients per cohort. The average age at index for the enoxaparin cohort was 53.9 + 16.7 years, compared to 53.7 + 16.9 years in the heparin cohort. The enoxaparin cohort had 4,088 female patients (72.97%) compared to 4,066 (72.58%) in the heparin cohort. The enoxaparin cohort was predominantly Caucasian patients (n=3,948; 70.47%), followed by 641 (11.45%) African American patients, 424 (7.57%) Hispanic/Latino patients, and 139 (2.48%) Asian patients. The heparin cohort was also predominantly Caucasian (n=3,947; 70.46%), followed by 669 (11.94%) African American patients, 401 (7.16%) Hispanic/Latino patients, and 148 (2.64%) Asian patients. There were no significant differences in rates of PE (HR 1.208, 95%CI 1.007 – 1.451, p=0.5803), UE DVT (HR 1.156, 95%CI 0.841 – 1.59, p=0.6863), LE DVT (HR 1.246, 95%CI 1.063 – 1.46, p=0.8996), superficial VT (HR 1.347, 95%CI 0.874 – 2.075, p=0.3731), bleeding (HR 0.916, 95%CI 0.809 – 1.037, p=0.1578), transfusion (HR 0.912, 95%CI 0.798 – 1.042, p=2119), or all-cause mortality (HR 1.02, 95%CI 0.935 – 1.112, p=0.8734). A comprehensive summary of the results is demonstrated in Table 7.

p-value Medication 1 Medication 2 PE UE DVT LE DVT Superficial VT Bleeding Transfusion Mortality
enoxaparin heparin 0.5189 0.2468 0.7586 0.7708 0.5894 0.6273 0.8433
enoxaparin warfarin 0.4842 0.7763 0.9651 0.682 0.1996 0.5309 0.399
enoxaparin apixaban 0.1047 0.0423 0.647 0.4824 0.2698 0.1122 0.1044
enoxaparin aspirin 81 mg 0.9651 0.6358 0.8448 0.9765 0.1167 0.4854 0.5001
– – – – – – – – – –
HR Medication 1 Medication 2 PE UE DVT LE DVT Superficial VT Bleeding Transfusion Mortality
enoxaparin heparin 1.186 1.332 1.232 1.183 0.876 0.963 1.016
enoxaparin warfarin 0.804 0.76 0.688 0.815 1.008 1.009 0.976
enoxaparin apixaban 0.875 0.761 0.954 3.068 1.084 1.359 1.115
enoxaparin aspirin 81 mg 1.173 1.157 1.226 1.165 0.908 0.915 1.028
– – – – – – – – – –
95% CIs Medication 1 Medication 2 PE UE DVT LE DVT Superficial VT Bleeding Transfusion Mortality
enoxaparin heparin 0.983-1.433 0.941-1.885 1.032-1.47 0.776-1.803 0.769-0.998 0.808-1.147 0.929-1.112
enoxaparin warfarin 0.612-1.055 0.467-1.235 0.539-0.877 0.447-1.489 0.816-1.246 0.76-1.34 0.843-1.13
enoxaparin apixaban 0.659-1.162 0.456-1.271 0.736-1.236 0.843-11.166 0.845-1.381 0.962-1.921 0.944-1.317
enoxaparin aspirin 81mg 0.969-1.419 0.827-1.619 1.03-1.46 0.763-1.78 0.797-1.035 0.772-1.085 0.938-1.127
Table 7: Hazard ratio, 95% confidence intervals, and p-values for anticoagulation and antiplatelet comparisons in pituitary Cushing’s syndrome

HR: hazard ratio; CI: confidence interval; PE: pulmonary embolism; VT: venous thrombosis; DVT: deep vein thrombosis; UE: upper extremity; LE: lower extremity

Enoxaparin and Warfarin

Propensity-score matching was performed with 1,694 patients per cohort identified. The average age at index for the enoxaparin cohort was 58.1 + 15.8 years, compared to 58.1 + 15.9 years in the warfarin cohort. The enoxaparin cohort had 1,142 female patients (67.41%) compared to 1,143 (67.47%) in the warfarin cohort. Within the enoxaparin cohort, 1,224 (72.2%) were Caucasian patients, followed by 194 (11.45%) African American patients, 97 (5.73%) Hispanic/Latino patients, and 57 (3.37%) Asian patients. The warfarin cohort had similar demographics, with 1,223 (72.2%) Caucasian patients, followed by 194 (11.45%) African American patients, 102 (6.02%) Hispanic/Latino patients, and 65 (3.84%) Asian patients. There were no significant differences in rates of PE (HR 0.907, 95%CI 0.694 – 1.186, p=0.8117), UE DVT (HR 0.988, 95%CI 0.628 – 1.555, p=0.9848), LE DVT (HR 0.739, 95%CI 0.589 – 0.929, p=0.4445), superficial VT (HR 0.815, 95%CI 0.44 – 1.511, p=0.8098), bleeding (HR 1.001, 95%CI 0.814 – 1.231, p=0.0987), transfusion (HR 1.106, 95%CI 0.889 – 1.376, p=0.4904), or all-cause mortality (HR 0.951, 95%CI 0.83 – 1.089, p=0.1656) (Table 7).

Enoxaparin and Apixaban

Propensity-score matching identified 1,489 patients per cohort. The enoxaparin cohort was 61.1 + 15.1 years old at the index event, versus the apixaban cohort at 61.4 + 14.9 years. The enoxaparin cohort had 1,054 (70.79%) female patients compared with 1,029 (69.11%) in the apixaban cohort. The enoxaparin cohort was primarily Caucasian patients (n=1,105; 74.21%), followed by 179 (12.02%) African American patients, 74 (4.97%) Hispanic/Latino patients, and 27 (1.81%) Asian patients. The apixaban cohort demonstrated similar demographics with 1,080 (72.53%) Caucasian patients, followed by 180 (12.09%) African American patients, 76 (5.1%) Hispanic/Latino patients, and 27 (1.81%) Asian patients. There were no significant differences in rates of PE (HR 0.949, 95%CI 0.673 – 1.339, p=0.4372), UE DVT (HR 0.832, 95%CI 0.472 – 1.466, p=0.1538), LE DVT (HR 1.166, 95%CI 0.869 – 1.566, p=0.8595), superficial VT (HR 5.323, 95%CI 1.19 – 23.815, p=0.493), bleeding (HR 1.218, 95%CI 0.948 – 1.565, p=0.4021), transfusion (HR 1.319, 95%CI 0.993 – 1.753, p=0.1663), or all-cause mortality (HR 1.131, 95%CI 0.966 – 1.325, p=0.0839) (Table 7).

Enoxaparin and Aspirin 81 mg

Propensity-score matching revealed 3,475 patients per cohort. The enoxaparin cohort was 58.8 + 15.3 years at index event, compared to the aspirin cohort at 58.2 + 14.3 years. The enoxaparin cohort had 2,438 (70.16%) female patients compared to the aspirin cohort with 2,445 (70.36%). Within the enoxaparin cohort, 2,539 (73.06%) were Caucasian patients, followed by 378 (10.88%) African American patients, 182 (5.24%) Hispanic/Latino patients, and 74 (2.13%) Asian patients. The aspirin cohort demonstrated similar demographics with 2,554 (73.5%) Caucasian patients, followed by 363 (10.45%) African American patients, 196 (5.64%) Hispanic/Latino patients, and 68 (1.96%) Asian patients. The enoxaparin cohort demonstrated significantly increased risk of LE DVT (HR 1.677, 95%CI 1.353 – 2.079, p=0.0081) and all-cause mortality (HR 1.597, 95%CI 1.422 – 1.794, p=0.0005) (Figure 3). There were no significant differences in rates of PE (HR 1.74, 95%CI 1.354 – 2.236, p=0.2408), UE DVT (HR 1.773, 95%CI 1.108 – 2.837, p=0.8625), superficial VT (HR 4.273, 95%CI 1.969 – 9.273, p=0.5196), bleeding (HR 1.093, 95%CI 0.937 – 1.275, p=0.8554), or transfusion (HR 1.896, 95%CI 1.556 – 2.311, p=0.2609) (Table 7). Due to a significant difference between enoxaparin and Aspirin 81 mg, an E-value was calculated for LE DVT (E-value = 2.744) and all-cause mortality (E-value = 2.574).

Kaplan-Meier-survival-curve-for-pituitary-Cushing's-subtype-(mortality-and-LE-DVT)
Figure 3: Kaplan-Meier survival curve for pituitary Cushing’s subtype (mortality and LE DVT)

(A) Mortality of enoxaparin compared to aspirin 81 mg (HR 1.597, 95%CI 1.422-1.794, p=0.0005); (B) LE DVT of enoxaparin compared to aspirin 81 mg (HR 1.677, 95%CI: 1.353-2.079, p=0.0081)

HR: hazard ration; DVT: deep vein thrombosis; LE: lower extremity

Discussion

The concept of hypercoagulability in the setting of hypercortisolemia has been documented since the 1970s [10]. Estimates suggest an 18-fold risk of venous thromboembolism in patients with Cushing’s syndrome compared to the general population [11]. Furthermore, venous thromboembolism accounts for up to 11% of all deaths in Cushing’s syndrome [12]. Patients are often noted to have a “coagulation paradox” in Cushing’s syndrome, whereby there is a heightened risk for thrombosis, with concurrent bruising of the skin; thromboembolism is due to an imbalance between pro- and anti-coagulant pathways, whereas bruising is due to atrophy of the skin and capillary fragility [11]. As noted by Feelders and Nieman, two prominent phases for the development of thromboembolic events include the untreated (active) hypercortisolemia and the postoperative phases [11]. Population-based studies have demonstrated a heightened risk for venous thromboembolism prior to diagnosis (in some studies as early as three years before diagnosis) [9].

Despite this heightened risk for venous thromboembolic events, there appears to be a lack of awareness amongst institutions (and individual practitioners), along with improper management. Fleseriu and colleagues, however, do note that in 2020, the awareness of hypercoagulability in Cushing’s syndrome increased around fourfold in two years, with routine prophylaxis increasing to 75% (from 50%) perioperatively (however, most patients only received prophylaxis for up to two weeks postoperatively) [13]. Another survey was performed by the European Reference Network on Rare Endocrine Conditions, noting concerns of heterogeneity with timing, type, and duration of prophylaxis, noting most centers do not have a thromboprophylaxis protocol (identifying only one reference center had a standardized thromboprophylaxis protocol for Cushing’s syndrome) [14]. From the European survey, it was noted that prophylaxis was initiated at diagnosis in 48% of patients, with 17% preoperatively, 26% on the day before (or of) surgery, 13% postoperatively, and 9% “depending on the presentation”. With regards to discontinuation of thromboprophylaxis, in centers with a standardized protocol (35% of reference centers), 38% of centers stopped at one month post-operatively, 25% between two and four weeks, and 37% between one week before and two weeks after surgery, between four and six days postoperatively, and at three months postoperatively. When cessation was individualized (in the remaining 65% of reference centers), 60% discontinued thromboprophylaxis once the patient was mobile, 40% with achievement of remission, 27% regarding patient status, and 7% dependent upon hemostatic parameters [14].

There is limited guidance concerning thromboprophylaxis recommendations in Cushing’s syndrome. For example, the Endocrine Society merely recommends assessing the risk of thrombosis in Cushing’s syndrome and administering perioperative prophylaxis if undergoing surgery, but provides no further recommendations [8]. The Pituitary Society highlights the absence of standardized practice for both pre- and postoperative thromboprophylaxis in patients with Cushing’s syndrome [15]. There appears to only be one set of guidelines for thromboprophylaxis in Cushing’s syndrome, known as the “Delphi Panel Consensus”, which forms the basis for the guidelines from the European Society for Endocrinology [9]. The Delphi Panel Consensus recommends considering anticoagulation for all patients with Cushing’s syndrome (in the absence of contraindications), regardless of the underlying etiology, and is recommended in the presence of risk factors [9]. Moreover, thromboprophylaxis is advised to begin at the time of diagnosis [9]. Currently, there is not enough evidence to provide a recommendation for thromboprophylaxis in mild autonomous cortisol secretion [9]. As with any medical patient, thromboprophylaxis should be initiated in all patients with active Cushing’s syndrome who are hospitalized (without contraindications) [9, 15]. Apart from chemical prophylaxis, anti-embolic stockings are not recommended due to the risk of skin fragility and friability [9]. The Delphi Consensus Panel furthermore advises to continue prophylactic anticoagulation for at least three months after biochemical remission (eucortisolemia) has occurred, and note those without additional risk factors (such as obesity, immobility, prior history of venous thromboembolism, or cardiac risk factors) can be considered candidates to stop the medication; one caveat, however, is for patients medically managed with mitotane (which can alter liver function and coagulation factor metabolism), there is an increased risk of bleeding, for which careful monitoring of renal function and bleeding risk is advised [9]. The Pituitary Society provides additional recommendations, such as discontinuing estrogen therapy in women (if used for contraception) [15]. While the Delphi Consensus Panel does not comment upon pediatric patients, the Pituitary Society advises against the use of thromboprophylaxis in the pediatric population due to bleeding risks [15].

The Delphi Consensus Panel furthermore recommend considering thromboprophylaxis at the time of inferior petrosal sinus sampling (if not started before this), due to the risk of thrombosis associated with this intervention; for those who are receiving prophylaxis, it is recommended to continue throughout the procedure, however, if has not been started, it is advised to initiate 12 hours post procedure. Similarly, if thromboprophylaxis was not considered earlier in a patient’s course, it should be reconsidered in the perioperative period, with the last dose of LMWH administered 24 hours prior to surgery and reinitiated 24 hours postoperatively [9]. Isand et al. recommend continuing thromboprophylaxis for three months after cortisol levels normalize (< 5 μg/dL) and when patients can mobilize [9]. In patients for whom a venous thromboembolism develops, patients are advised to receive a therapeutic dose of anticoagulation (preferably LMWH) for three to six months, followed by prophylaxis for three months after resolution of Cushing’s syndrome [9]. The Delphi Consensus Panel provides a summary of their recommendations, shown in Figure 4.

Algorithm-for-thromboprophylaxis-in-Cushing's-syndrome
Figure 4: Algorithm for thromboprophylaxis in Cushing’s syndrome

IPSS: inferior petrosal sinus sampling; VTE: venous thromboembolism; LMWH: low-molecular-weight heparin; DOAC: direct oral anticoagulant

Source: Isand et al., 2025 [9]; Published with permission.

Although intuitively, one may expect the procoagulant profile of Cushing’s syndrome to resolve upon attainment of eucortisolemia with medical management, studies have failed to demonstrate a reduction in venous thromboembolism with medical therapy [16]. Additionally, while one may expect resolution of hypercoagulability with surgical intervention (transsphenoidal sinus surgery or adrenalectomy), the risk maintains in the postoperative period, comparable to that of orthopedic surgery, at times up to one year and beyond to normalize [17]; data from European Register on Cushing’s Syndrome (ERCUSYN) database suggest the risk is greatest six months postoperatively [18]. The estimated risk for postoperative venous thromboembolism in pituitary-dependent Cushing’s is around 4.3% (compared to 0% with a non-functional pituitary adenoma); regarding adrenal surgery, the risk is estimated at around 2.6% [11]. Although the underlying mechanism for the persistent risk for venous thromboembolism remains unknown, it is hypothesized that a sudden drop in cortisol can lead to an inflammatory response (itself activating the coagulation cascade) [16]. Lopes and colleagues note an increase in the number of lymphocytes (because of loss of Th1 cell suppression), with increases in cytokines (such as interferon-gamma, interleukin-2, and transforming growth factor-beta) [16]. Comorbidities such as osteoporosis and myopathy (from hypercortisolemia) may be associated with decreased mobility in the postoperative period, influencing the risk for thrombosis [16].

Whilst all subtypes of Cushing’s syndrome can be associated with a heightened risk for venous thromboembolism (pituitary adenoma, adrenal adenoma, medication-induced, ectopic ACTH, and adrenal carcinoma), the latter two are often associated with malignant disease, which itself poses a risk for hypercoagulability from the underlying neoplasm [11]. Patients with Cushing’s syndrome have been found to demonstrate a reduction in activated partial thromboplastin time (aPTT), alongside increases in clot lysis time, procoagulant factors (such as factor VIII, von-Willebrand factor and fibrinogen) and fibrinolysis inhibitors (including plasminogen activator-inhibitor-1, thrombin activatable fibrinolysis inhibitor, and alpha-2 antiplasmin) [11,12,17]. Varlamov et al. have also noted an increase in thrombin, thromboxane A2, and platelets. Other studies have additionally demonstrated elevated proteins C and S as well as antithrombin III, which are hypothesized to be increased as a compensatory mechanism from the state of hypercoagulability [12]. Barbot et al. demonstrate elevation in factor VIII and von-Willebrand factor within the first few months after transsphenoidal sinus surgery, along with abnormally large von-Willebrand multimers (which are typically found in the cellular components), which can induce spontaneous platelet aggregation [17].

Lopes et al. note that altered von-Willebrand factor levels are not a constant feature reported in Cushing’s syndrome, and state it depends upon the polymorphism of the gene promoter, providing an example of haplotype 1 of the gene promoter conferring the greatest risk for elevated von-Willebrand factor levels by cortisol [16]. Barbot and colleagues furthermore note ABO blood groupings as an additional influencer of the procoagulant state; as an example, blood group-O patients have a near one-quarter reduction in levels of von-Willebrand factor [17]. Feelders and Nieman note heterogeneity in coagulation profiles based on individual characteristics and differing assay techniques [11]. van Haalen and colleagues note an absence of a correlation between severity of hypercortisolism and hemostatic abnormalities [14]; this is echoed by Varlamov et al., stating there is no linear relationship between coagulation parameters and venous thromboembolic events, nor with urinary free cortisol elevation [12]. Varlamov and colleagues further note that a subset of patients may have unaltered coagulation parameters, for which they advise against stratifying patients’ risk based on coagulation parameters [12].

In 2016, Zilio and colleagues posed a scoring system to stratify patients with active Cushing’s syndrome, including both clinical and biochemical parameters, including age (> 69 = 2 points), reduction in mobility (2 points), acute severe infection (1 point), prior cardiovascular event(s) (1 point), midnight plasma cortisol (> 3.15 times upper limit of normal = 1 point), and shortened aPTT (1 point) [19]. Lopes et al. describe the stratification as follows: 2 points (low risk), 3 points (moderate risk), 4 points (high risk), and > 5 points (very high risk) [16]. It should be noted, however, that Zilio et al.’s study was performed on only 176 patients and has not been validated in other studies [19]. Further drawbacks include the failure to account for postoperative events (a major source of venous thromboembolism in Cushing’s syndrome), and despite the stratification categories, no recommendations for treatment are provided.

LMWH is the first-line medication, consistent across differing societies. Despite being the gold standard, there are limited studies demonstrating a beneficial reduction in venous thromboembolic events in such cohorts; similarly, studies are lacking in analysis of the other classes of anticoagulants in head-to-head comparisons against LMWH for thromboprophylaxis in hypercortisolism. Another limitation is the fact that certain studies solely address thromboprophylaxis in the postoperative period. As an example, McCormick et al. performed one of the only trials comparing unfractionated heparin and LMWH (enoxaparin), noting no differences in hemorrhagic complications or thromboses; however, this was analyzed in patients undergoing transsphenoidal sinus surgery [10].

The current study retrospectively analyzed the various anticoagulant agents for the prevention of venous thromboembolism in Cushing’s syndrome (of any subtype), compared to the gold standard, LMWH (in this study, enoxaparin). When analyzing Cushing’s syndrome, our study demonstrated no significant differences in outcomes between enoxaparin and warfarin, apixaban, or unfractionated heparin; however, aspirin 81 mg demonstrated a lower risk of all-cause mortality, PE, and LE DVT. With subanalysis of Cushing’s disease (pituitary-related), there was no significant difference between enoxaparin and warfarin, apixaban or unfractionated heparin; aspirin 81 mg again noted a reduced all-cause mortality and LE DVT (but did not lower the risk of PE, compared with Cushing’s syndrome of all types combined). With E-value sensitivity analysis, the association remained moderately robust with PE (all Cushing’s types combined), LE DVT (all Cushing’s types and pituitary Cushing’s), and mortality (solely pituitary Cushing’s), however, mortality was weak-to-moderate with Cushing’s syndrome of all types (Table 8).

Outcome Hazard Ratio E-value Interpretation
PE (All Cushing’s Types) 1.697 2.783 Moderate
LE DVT (All Cushing’s Types) 1.492 2.348 Moderate
LE DVT (Pituitary) 1.677 2.744 Moderate
Mortality (All Cushing’s Types) 1.272 1.860 Weak
Mortality (Pituitary) 1.597 2.574 Moderate
Table 8: E-value sensitivity analyses for significant findings

DVT: deep vein thrombosis; LE: lower extremity; PE: pulmonary embolism

Aspirin, a non-steroidal anti-inflammatory drug, was first identified to irreversibly inhibit platelet function in the 1950s by Dr. Lawrence Craven [20]. Data is scarce in terms of aspirin’s role in thromboprophylaxis in hypercortisolemia. In 1999, Semple and Laws Jr. initially reported the use of aspirin postoperatively for six weeks (starting postoperative day one) in patients with Cushing’s disease who underwent transsphenoidal sinus surgery; while the authors mentioned a reduction in rates of venous thromboemboli, no factual data was provided (including dose of aspirin, complications experienced, and number of venous thromboemboli before and after) [21]. In 2015, Smith et al. performed an additional study with 81 mg of aspirin again administered starting postoperative day one (alongside sequential compression devices and mobilization), reporting that none of the 82 patients developed DVTs (with only two cases of epistaxis) [22]. It was not until 1994, however, in the Antiplatelet Trialists’ Collaborations’ meta-analysis, that aspirin demonstrated a reduced risk for venous thromboembolism, with similar findings replicated in the Pulmonary Embolism Prevention trial in 2000 and the WARFASA (Warfarin and Aspirin) and ASPIRE (Aspirin to prevent recurrent venous thromboembolism) trials in 2012 [23]. In 2012, the American College of Chest Physicians [24,25] were the first to recommend aspirin as thromboprophylaxis following total hip or knee replacement, followed by the National Institute for Health and Care Excellence in 2018 (advising LMWP followed by aspirin) and the American Society of Hematology in 2019 (advising either aspirin or oral anticoagulation after total hip or knee replacement) [25]. Despite recognition of the reduction in venous thromboembolism by aspirin (and its incorporation into guidelines), its role in thromboprophylaxis is largely limited to orthopedic surgery. The mechanisms of aspirin and its reduction in venous thromboembolism is not entirely understood, but believed to occur via differing mechanisms, including inhibition of cyclooxygenase-1 (which reduces thromboxane A2, a promoter of platelet aggregation), prevention of thrombin formation and thrombin-mediated coagulant reactions, acetylation of proteins involved in coagulation (such as fibrinogen), and enhancing fibrinolysis [23,26].

Strengths and limitations

To the best of our knowledge, a study specifically comparing the impact of aspirin with that of LMWP in Cushing’s syndrome has not been performed; as a result, our study adds to the paucity of literature pertaining to this topic. Notable strengths in the study include a large sample size (allowing robust comparisons amongst treatment arms), incorporation of propensity-score matching (allowing for internal validity through balancing baseline comparison groups), and comprehensive measurable outcomes.

Limitations to our study are multifold, and include retrospective design, for which intrinsic biases are inherent and can affect causal inference (despite matching techniques). Furthermore, data collection (via TriNetX) relied on correct ICD-10 coding, which could be a source of potential error if conditions and medications are coded improperly, or if our queries missed ICD-10 codes that could also correspond with outcomes. Similarly, TriNetX also relies on queries of healthcare organizations, many of which may not have responded with data, which could inaccurately skew the results. Although TriNetX uses global data, the majority of patient data was derived from the United States population, which could result in less generalizable data to the global public. These findings should be interpreted within the correct context and with caution to prevent misrepresentation. Compliance was a variable that could not be controlled for. Moreover, those who had taken the medication before the index event were excluded from analysis. While aspirin 81 mg demonstrated a reduction in LE DVT and mortality in Cushing’s disease along with PE with Cushing’s syndrome, we only performed a subgroup analysis concerning pituitary-related causes of Cushing’s syndrome (Cushing’s disease); it remains unclear why the risk of PE was not reduced in the latter subgroup. Due to limitations in ICD-10 coding, further subgroup analyses were not performed (such as adrenal adenoma, adrenal adenocarcinoma, or ectopic ACTH syndrome), for which the implications of treating with aspirin 81 mg cannot be inferred from our data. Similarly, further subgroup analyses, such as gender and race, were not performed. Our study assessed adult patients with Cushing’s syndrome, and not pediatric patients, which limits the applicability of our findings to such a cohort. Further studies are required to confirm and replicate our findings in a prospective fashion, stratifying subtypes of Cushing’s Syndrome.

Conclusions

Cushing’s syndrome is associated with a heightened risk for venous thromboembolism, regardless of the underlying etiology. Currently, LMWHs such as enoxaparin remain the gold standard for both thromboprophylaxis and treatment in such patients. There is limited data to support superiority over alternative agents. Our study analyzed enoxaparin against warfarin, unfractionated heparin, and apixaban, for which there was no significant risk difference. When compared to aspirin, enoxaparin demonstrated a greater risk for the development of PE, LE DVT, and all-cause mortality. Further prospective trials are required to replicate our findings and confirm the superiority of aspirin over LMWH.

References

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From https://www.cureus.com/articles/371036-therapeutic-options-for-the-prevention-of-thromboses-in-cushings-syndrome-a-propensity-matched-retrospective-cohort-analysis#!/

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Changes in Clinical Features of Adrenal Cushing Syndrome

Posted on May 28, 2025 by MaryO

Abstract

Adrenal Cushing syndrome (CS) has been rarely studied in recent years in Japan. This study aimed to investigate clinical characteristics and their changes over time in patients with adrenal CS. We analyzed 101 patients with adrenal CS caused by adenoma, dividing them into two groups based on diagnosis period: December 2011–November 2016 (later group, n = 50) and August 2005–November 2011 (earlier group, n = 51). Differences between the groups and comparisons with previous reports were assessed. Patients with subclinical CS were excluded. Adrenal incidentalomas were the most frequent reason for CS diagnosis (34%). Most patients exhibited few specific cushingoid features (2.5 ± 1.3), with moon faces and central obesity being the most common. Compared to earlier reports, specific cushingoid features were less frequent; nonetheless, no significant differences were observed between the earlier and later groups. All patients had midnight and post-dexamethasone suppression test serum cortisol levels exceeding 5 μg/dL. No significant differences were found between the groups regarding non-specific symptoms, endocrinological findings related to cortisol secretion, cardiometabolic commodities or infections, except for glucose intolerance and bone complications. The prevalence of metabolic disorders other than glucose intolerance and osteoporosis fluctuated over time. Sixteen patients developed cardiovascular diseases or severe infections. In conclusion, adrenal CS became less florid in the 2000s, showed no improvement in the following years, and remained associated with a high complication rate. Further research is needed to establish an early detection model for CS.

Plain language summary

Our study found that one-sixth of patients with adrenal Cushing syndrome continued to develop severe complications in this century despite their specific cushingoid features being less pronounced than in the past. Notably, the findings provide clinical insights that may aid in earlier disease diagnosis.

Keywords: adrenal Cushing syndrome; clinical features; diagnosis; national registry; Japan

Introduction

Chronic exposure to excess glucocorticoids leads to Cushing syndrome (CS), with hypercortisolism causing a range of symptoms, signs and comorbidities, including arterial hypertension, diabetes mellitus, osteoporosis, severe infections and cardiovascular disease, all of which contribute to increased mortality (1, 2, 3, 4, 5). CS also negatively impacts quality of life and cognitive function, leading to worsening socioeconomic conditions; moreover, some of these effects persist even after remission (6, 7). Early diagnosis is therefore essential to reducing morbidity and mortality. A recent study (8) suggests that florid CS has become less common than previously reported, yet the time from symptom onset to diagnosis remains as long as 4 years (9, 10). A similar trend toward an increase in less florid CS is expected in Japan. However, to our knowledge, no nationwide epidemiological survey of adrenal CS has been conducted in Japan in recent decades.

The number of adrenal incidentalomas (AIs) detected through abdominal imaging has been increasing (11, 12), potentially aiding in the early diagnosis of adrenal CS. However, in most studies from other countries, adrenal CS accounts for a smaller proportion of all CS cases compared to Japan (20–47 vs >50%, respectively), despite a rise in incidence in recent reports (10, 13, 14, 15, 16). Consequently, there is limited evidence regarding diagnostic clues, clinical presentation, endocrinological findings and disease progression in a large cohort of patients with adrenal CS caused by adenomas in this century. This study aimed to examine the clinical phenotype, comorbidities and biochemical characteristics of Japanese patients with adrenal CS due to adenomas in the 2000s and to identify differences from previously reported findings.

Materials and methods

Study design and participants

This retrospective observational study was part of the Advancing Care and Pathogenesis of Intractable Adrenal Diseases in Japan (ACPA-J) study, which involved 10 referral centers (17, 18, 19). The ACPA-J was established to develop a disease registry and cohort for patients with subclinical adrenal CS, adrenal CS, primary macronodular adrenal hyperplasia or adrenocortical carcinoma. The study group collected clinical, biochemical, radiological and pathological data at enrollment to generate new evidence and inform clinical guidelines. Data were obtained from patients aged 20–90 years who were diagnosed with CS due to an adrenal adenoma between August 2005 and November 2016. The dataset used in this study were validated in March 2019. The study protocol was approved by the Ethics Committee of the National Center for Global Health and Medicine (Approval No.: NCGM-S-004259) and the ethics committees of the participating centers. This study adhered to the clinical research guidelines of the Ministry of Health, Labour and Welfare, Japan (MHLWJ) and the principles of the Declaration of Helsinki. Informed consent was obtained through an opt-out option available on the websites of each referral center.

In the ACPA-J study, adrenal diseases, including CS, were initially diagnosed by attending physicians. Patients with iatrogenic CS or CS caused by primary macronodular adrenal hyperplasia or adrenocortical carcinoma were excluded. Of the 106 patients diagnosed with adrenal CS due to adenomas, five were excluded for the following reasons: baseline plasma adrenocorticotropic hormone (ACTH) ≥10 pg/mL (n = 1) or significant missing data related to the hypothalamic-pituitary-adrenal axis (n = 4). None of the patients met the criteria for subclinical CS according to the Japan Endocrine Society clinical practice guidelines (20). Except for three cases, adrenal adenomas were pathologically confirmed through surgical specimens. In patients who did not undergo surgery, a tumor was classified as an adenoma if it appeared round or oval, hypodense (i.e., ≤10 Hounsfield units), homogeneous and well-defined on computed tomography (12). As a result, the final analysis included 101 patients with adrenal CS due to adrenal adenomas (Fig. 1).

Figure 1View Full Size
Figure 1

Flowchart of patient selection. ACTH, adrenocorticotropic hormone; UFC, urinary free cortisol.

Citation: Endocrine Connections 14, 5; 10.1530/EC-24-0684

The diagnosis of adrenal CS was validated based on the diagnostic criteria established by the Research on Intractable Diseases, Research Committee on Disorders of Adrenal Hormones from the MHLWJ in 2016 (21). These criteria included a combination of the following: the presence of specific and non-specific cushingoid features, confirmation of cortisol hypersecretion through elevated morning serum cortisol levels (generally ≥20 μg/dL) and/or high 24 h urinary free cortisol (UFC; typically more than four times the upper limit of normal (ULN) for the assay used at each center), disruption of the circadian rhythm in serum cortisol levels (serum cortisol at 21:00–23:00 h ≥5 μg/dL), suppression of ACTH secretion (morning plasma ACTH <10 pg/mL and/or a blunted response to corticotropin-releasing hormone (CRH) stimulation, defined as either an increase of <1.5 times the baseline ACTH or peak ACTH <10 pg/mL), failure to suppress serum cortisol levels (≥5 μg/dL) after the standard overnight 1 mg and/or 8 mg dexamethasone suppression test (DST), and the presence of an adrenal tumor on imaging.

Measurements

The collected data included patient demographics such as age at diagnosis, sex, body mass index (BMI) and the reason for diagnosing CS. Specific cushingoid features recorded were moon face, dorsocervical or subclavian fat pad, central obesity, easy bruising, thin skin, muscle weakness, purple striae and facial plethora. Non-specific cushingoid features included acne, virilism or hirsutism in women, psychiatric disorders, menstrual irregularity and leg edema. Biochemical and hormonal profiles were assessed, including hemoglobin A1c (HbA1c), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), morning and midnight serum cortisol, serum cortisol after the 1 mg or 8 mg DST, plasma ACTH before and after CRH stimulation, 24 h UFC and plasma dehydroepiandrosterone sulfate (DHEA-S). Comorbidities examined included hypertension, impaired glucose tolerance, dyslipidemia, obesity, bone fracture, osteoporosis, venous thromboembolism, cerebral infarction, cerebral hemorrhage, angina pectoris, myocardial infarction, heart failure, pneumonia, sepsis, deep abscess and other infections. Adrenal tumor diameter was assessed using imaging. To systematically assess various measurements, including specific and non-specific cushingoid features in patients with adrenal CS, we predefined survey items before initiating the study. We did not predefine the period for the major adverse cardiovascular and cerebrovascular events (MACCEs) and serious infections. The diseases were registered only if attending physicians determined they were associated with hypercortisolism. Missing data were excluded from the analysis. UFC and serum cortisol levels were partially expressed as multiples of the ULN or lower limit of normal (LLN) due to changes in assay methods. Further details on assay methods are provided in the supplementary data (see section on Supplementary materials given at the end of the article).

Hypertension was defined as a blood pressure of ≥140/90 mmHg or the use of antihypertensive medication (22). Due to inconsistencies in registration data, prediabetes and type 2 diabetes have been classified together under impaired glucose tolerance. Impaired glucose tolerance was defined as a fasting plasma glucose level of ≥110 mg/dL, a 2 h plasma glucose level of ≥140 mg/dL after a 75 g oral glucose load, an HbA1c level of ≥6.2% or current antidiabetic therapy (23). Dyslipidemia was defined by LDL-C levels ≥140 mg/dL, HDL-C levels <40 mg/dL, TG levels ≥150 mg/dL or the use of lipid-lowering therapy (24). Obesity was classified as a BMI ≥25 kg/m2, following the criteria of the Japan Society for the Study of Obesity (25). Osteoporosis was diagnosed based on a T-score ≤−2.5 standard deviation (SD) on dual-energy X-ray absorptiometry, in accordance with World Health Organization criteria (26). The presence of other symptoms, signs or comorbidities beyond the listed conditions was determined by the attending physicians based on medical records. The prevalence of MACCEs was also calculated. The CRH loading test is used to assess ACTH suppression in patients with suspected ACTH-independent hypercortisolism (20). A normal ACTH response to CRH stimulation was defined as plasma ACTH levels exceeding 10 pg/mL and increasing by more than 50% from baseline.

Classification of participants according to the date of diagnosis

The primary objective of this study was to examine temporal changes in the clinical presentation of adrenal CS, necessitating classification based on the date of diagnosis. We also sought to clarify recent trends in CS diagnosis. The most recent diagnosis among study participants was recorded in November 2016. To analyze changes in clinical presentation over 10 years, we classified patients into two groups: those diagnosed within 5 years of the most recent case (i.e., December 2011–November 2016, later group; n = 50) or those diagnosed earlier (i.e., August 2005–November 2011, earlier group; n = 51).

Changes in the clinical pictures over time

To examine changes in the clinical picture over time, we compared the prevalence of symptoms, signs and comorbidities in this study with findings from a nationwide survey conducted by the Research on Intractable Diseases, Research Committee on Disorders of Adrenal Hormones under the MHLWJ in 1997 (16) and data from traditional reports compiled by Rosset et al. (8). The nationwide survey was conducted in 1997 and 1998 using questionnaires sent to 4,060 departments. It included 737 patients with CS, covering adrenal CS caused by adenoma and bilateral hyperplasia, pituitary CS and ectopic ACTH syndrome, with adrenal CS accounting for 47.1% of cases. While the later research did not provide details on patient numbers, study duration or data collection methods, the data sources were clearly stated.

Statistical analysis

Statistical analyses were conducted using SPSS (version 26.0; IBM Corp., USA) or EZR (Saitama Medical Center, Jichi Medical University, Japan) (27). Results are expressed as means ± SDs and frequencies (positive/total observations) unless otherwise specified. Data distributions were assessed using the Kolmogorov–Smirnov test. Quantitative variables were compared between groups using the Student’s t-test, while the categorical variables were analyzed using the χ 2 test or Fisher’s exact test. We used a single-sample binomial test to compare our variable frequencies with those in previous studies (8). Statistical significance was defined as a P-value of <0.05.

Results

Clinical characteristics

This study included 101 patients with adrenal CS, with a higher prevalence in women than men. The average age of participants was 46.9 ± 13.3 years, with only 20% aged over 60 (Table 1). Notably, AIs were the most frequent finding leading to a CS diagnosis, followed by hypertension. Specific cushingoid features, such as moon face and muscle weakness, prompted diagnosis in approximately 15% of cases. The mean maximum diameter of the adenomas was approximately 3 cm. More than 90% of patients (94/101) had adrenal adenomas >2 cm. Bilateral adenomas were observed in nearly 20% of the study population. No significant differences were observed between the earlier and later groups regarding age, sex distribution, diagnostic triggers (except fractures), adenoma size or the prevalence of bilateral adenomas.

Table 1Clinical characteristics of patients with Cushing syndrome.

All patients with Cushing syndrome Earlier group Later group P-value
n = 101 n = 51 n = 50
Age, years 46.9 (13.3) 45.9 (13.3) 47.8 (13.4) 0.459
20–39/40–59/>60, n (%) 30/50/20 (30.0%/50.0%/20.0%) 19/21/10 (38.0%/42.0%/20.0%) 11/29/10 (22.0%/58.0%/20.0%) 0.181
Female, n (%) 90/100 (90.0%) 45/50 (90.0%) 45/50 (90.0%) 0.999
BMI, kg/m2 24.6 (4.3) 24.9 (4.3) 24.4 (4.2) 0.545
Reasons leading to Cushing syndrome diagnosis
 Incidentaloma, n (%) 34/101 (33.7%) 17/51 (33.3%) 17/50 (34.0%) 0.999
 Hypertension, n (%) 30/101 (29.7%) 16/51 (31.4%) 14/50 (28.0%) 0.828
 Moon face, n (%) 11/101 (10.9%) 8/51 (15.7%) 3/50 (6.0%) 0.2
 Weight gain, n (%) 10/101 (9.9%) 4/51 (7.8%) 6/50 (12.0%) 0.525
 Edema, n (%) 10/101 (9.9%) 5/51 (9.8%) 5/50 (10.0%) 0.999
 Fracture, n (%) 8/101 (7.9%) 1/51 (2.0%) 7/50 (14.0%) 0.031
 Muscle weakness, n (%) 4/101 (4.0%) 3/51 (5.9%) 1/50 (2.0%) 0.617
Bilateral adrenal tumors, n (%) 17/101 (16.8%) 11/51 (21.6%) 6/50 (12.0%) 0.308
Maximum diameter of tumor (mm) 28.4 (7.6) 27.2 (7.2) 29.6 (7.9) 0.111
≥20 mm, n (%) 94 (94.0%) 47 (92.2%) 47 (95.9%) 0.678

Data are presented as mean (SD) or number of patients (%). Patients were categorized into two groups based on their diagnosis date: within 5 years of the most recent case (December 2011–November 2016, later group) or earlier (August 2005–November 2011, earlier group).

P-values were calculated using Student’s t-test. Proportions between the before and after groups were compared using the X 2 or Fisher’s exact tests.

BMI, body mass index.

Specific and non-specific cushingoid features

Most patients with CS exhibited a limited number of specific features (mean ± SD, 2.5 ± 1.3) (Table 2). Nearly 40% of patients had two or fewer specific cushingoid features, while only 5% had five or more. The most frequently observed feature was moon face, followed by central obesity with a dorsocervical or subclavian fat pad, easy bruising or thin skin, facial plethora and muscle weakness or purple striae. The two most common features were present in over 50% of patients. Non-specific cushingoid features, including menstrual irregularity, acne, psychiatric disorders, hirsutism, virilization in women and edema, were observed in fewer than 25% of cases. The mean number of non-specific features was approximately one (0.6 ± 0.7). No significant differences in symptoms and signs of CS were found between the earlier and later groups.

Table 2Presence of specific and non-specific cushingoid features.

All patients with Cushing syndrome Earlier group Later group P-value
Cushingoid appearance, n (%) 99/101 (98.0%) 51/51 (100%) 48/50 (96.0%) 0.243
Specific features
 (1) moon face, n (%) 85/101 (84.2%) 41/51 (80.4%) 44/50 (88.0%) 0.439
 (2) central obesity, n (%) 60/101 (59.4%) 32/51 (62.7%) 28/50 (56.0%) 0.626
 (3) easy bruising or thin skin, n (%) 45/101 (44.6%) 19/51 (37.3%) 26/50 (52.0%) 0.163
 (4) facial plethora, n (%) 25/101 (24.8%) 10/51 (19.6%) 15/50 (30.0%) 0.327
 (5) muscle weakness, n (%) 21/101 (20.8%) 10/51 (19.6%) 11/50 (22.0%) 0.959
 (6) purple striae, n (%) 21/101 (20.8%) 14/51 (27.5%) 7/50 (14.0%) 0.156
Non-specific features
 (7) menstrual irregularity, n (%) 20/79 (25.3%) 10/37 (27.0%) 10/42 (23.8%) 0.945
 (8) acne, n (%) 15/101 (14.9%) 8/51 (15.7%) 7/50 (14.0%) 0.999
 (9) psychiatric disorders, n (%) 13/101 (12.9%) 7/51 (13.7%) 6/50 (12.0%) 0.999
 (10) hirsutism or virilization in female, n (%) 9/85 (10.6%) 6/41 (14.6%) 3/44 (6.8%) 0.303
 (11) leg edema, n (%) 4/101 (4.0%) 4/51 (7.8%) 0/50 (0.0%) 0.118
Number of items
In specific features ((1)–(6)), mean (SD) 2.5 (1.3) 2.5 (1.2) 2.6 (1.4) 0.562
In non-specific features ((7)–(11)), mean (SD) 0.6 (0.7) 0.7 (0.8) 0.5 (0.7) 0.258

Data are presented as mean (SD) or number of patients (frequency). Patients were categorized into two groups based on their diagnosis date: within 5 years of the most recent case (December 2011–November 2016, later group) or earlier (August 2005–November 2011, earlier group).

P-values were calculated using Student’s t-test. Proportions between the before and after groups were compared using the X 2 or Fisher’s exact tests.

Endocrinological findings

Serum cortisol levels after the 1 mg or 8 mg DST and midnight serum cortisol levels exceeded 5.0 μg/dL in all participants who underwent these tests (Table 3). In addition, all patients had markedly low baseline plasma ACTH levels. More than 50% of patients had morning serum cortisol levels below the ULN, while over 25% had UFC levels below this threshold (Fig. 2). Absolute serum cortisol concentrations (μg/dL) following the 8 mg DST were higher in the earlier group than in the latter group. However, when expressed as multiples of the LLN, there was no difference between groups, suggesting that this discrepancy was due to variations in assay methods. In contrast, baseline plasma ACTH levels were higher in the earlier group than in the latter group. Other parameters related to the hypothalamic-pituitary-adrenal axis, such as morning, midnight and post-DST serum cortisol levels, UFC levels, serum DHEA-S levels and plasma ACTH levels after CRH stimulation, were comparable between groups. The CRH stimulation test was performed in about 33% of participants. All but one patient had peak plasma ACTH levels below 10 pg/mL after CRH loading.

Table 3Endocrinological findings.

All patients with Cushing syndrome Earlier group Later group P-value
n = 101 n = 51 n = 50
Morning serum cortisol levels (n = 100) μg/dL 17.7 (5.7) 18.4 (4.8) 17.0 (6.5) 0.232
× the ULN times 0.90 (0.3) 0.96 (0.3) 0.88 (0.4) 0.264
Midnight serum cortisol levels (n = 97) μg/dL 17.6 (5.3) 18.6 (4.7) 16.7 (5.8) 0.088
≥5 μg/dL n (%) 97/97 (100%) 48/48 (100%) 49/49 (100%) N/A
× the lower limit of normal times 3.2 (1.3) 3.2 (1.3) 3.2 (1.3) 0.846
Plasma ACTH levels in the morning (n = 100) pg/mL 1.9 (1.7) 2.6 (2.0) 1.2 (0.9) <0.001
<10 pg/mL n (%) 100/100 (100%) 50/50 (100%) 50/50 (100%) N/A
DHEA-S (n = 97) μg/dL 40.7 (50.6) 35.2 (34.3) 45.8 (61.8) 0.313
Urinary free cortisol (n = 91) mg/24 h 283.1 (329.8) 279.8 (273.2) 285.8 (372.5) 0.932
× the ULN times 3.5 (4.1) 3.5 (3.4) 3.6 (4.6) 0.928
Serum cortisol levels after 1 mg DST (n = 96) μg/dL 18.6 (5.4) 19.3 (4.4) 17.9 (6.2) 0.202
≥5 μg/dL n (%) 96/96 (100%) 48/48 (100%) 48/48 (100%) N/A
× the LLN times 3.4 (1.4) 3.3 (1.3) 3.5 (1.4) 0.566
Serum cortisol levels after 8 mg DST (n = 71) μg/dL 18.6 (5.2) 19.9 (5.2) 17.0 (5.0) 0.017
≥5 μg/dL n (%) 71/71 (100%) 38/38 (100%) 33/33 (100%) N/A
× the LLN times 3.4 (1.3) 3.5 (1.5) 3.4 (1.2) 0.775
Peak plasma ACTH value after CRH stimulation test (n = 36) pg/mL 3.4 (3.4) 3.9 (1.5) 2.9 (4.3) 0.413

Data are presented as mean (SD) or number of patients (%). Patients were categorized into two groups based on their diagnosis date: within 5 years of the most recent case (Dec 2011–Nov 2016, later group) or earlier (Aug 2005–Nov 2011, earlier group).

P-values were calculated using Student’s t-test. Proportions between the before and after groups were compared using the X 2 or Fisher’s exact tests.

ACTH, adrenocorticotropic hormone; CRH, corticotropin-releasing hormone; DHEA-S, dehydroepiandrosterone sulfate; DST, dexamethasone suppression test; N/A, not available; LLN, lower limit of normal; ULN, upper limit of normal.

Figure 2View Full Size
Figure 2

Distribution of the ratio of morning serum (left) cortisol and (right) urinary free cortisol levels to the upper limit of normal (ULN).

Citation: Endocrine Connections 14, 5; 10.1530/EC-24-0684

Comorbidities

Among cardiometabolic conditions, hypertension was the most prevalent comorbidity (79.2%), followed by dyslipidemia, bone disorders, obesity and glucose intolerance (Table 4). The incidence of venous thromboembolism was 4.2%. Apart from all fractures or osteoporosis, no significant differences in complication rates were observed between the groups. Table 5 presents the frequency of MACCEs and severe infections among participants. Thirteen MACCEs (10.9%), including cerebral infarction or hemorrhage, angina pectoris, myocardial infarction and heart failure, were reported in 11 patients. In addition, six patients (6.0%) developed severe infections, such as pneumonia, sepsis or deep abscesses. Overall, 16 (15.8%) patients experienced serious illnesses. The prevalence of these conditions did not differ significantly between the earlier and later groups.

Table 4Comorbidities in patients with Cushing syndrome.

All patients with Cushing syndrome Earlier group Later group P-value
n = 101 n = 51 n = 50
Cardiometabolic
 Hypertension, n (%) 80/101 (79.2%) 42/51 (82.4%) 38/50 (76.0%) 0.588
 Dyslipidemia, n (%) 61/99 (61.6%) 32/50 (64.0%) 29/49 (59.2%) 0.775
 Obesity (BMI ≥25 kg/m2), n (%) 39/96 (40.6%) 23/48 (47.9%) 16/48 (33.3%) 0.212
 Impaired glucose tolerance, n (%) 33/101 (32.7%) 17/51 (33.3%) 16/50 (32.0%) 1
Bone
 All fractures, n (%) 25/93 (26.9%) 9/45 (20.0%) 16/48 (33.3%) 0.224
 Osteoporosis, n (%) 42/90 (46.7%) 17/42 (40.5%) 25/48 (52.1%) 0.374
 All fractures or osteoporosis, n (%) 48/101 (47.5%) 18/51 (35.3%) 30/50 (60.0%) 0.017
Coagulopathy
 Venous thromboembolism, n (%) 4/96 (4.2%) 3/50 (6.0%) 1/46 (2.2%) 0.670

Patients were categorized into two groups based on their diagnosis date: within 5 years of the most recent case (December 2011–November 2016, later group) or earlier (August 2005–November 2011, earlier group). BMI, body mass index.

Table 5Number of cardiovascular disease and infection events.

All patients with Cushing syndrome Earlier group Later group P-value
n = 101 n = 51 n = 50
MACCEs, n (%) 11/101 (10.9%) 6/51 (11.8%) 5/50 (10%) 1
 Cerebral infarction, n (%) 2/101 (2.0%) 1/51 (2.0%) 1/50 (2.0%) 1
 Cerebral hemorrhage, n (%) 0/101 (0%) 0/51 (0%) 0/50 (0%) N/A
 Angina pectoris, n (%) 2/101 (2.0%) 2/51 (3.9%) 0/50 (0%) 0.484
 Myocardial infarction, n (%) 2/101 (2.0%) 1/51 (2.0%) 1/50 (2.0%) 1
 Heart failure, n (%) 7/101 (6.9%) 4/51 (7.8%) 3/50 (6.0%) 1
Severe infection, n (%) 6/101 (6.0%) 4/51 (7.8%) 2/50 (4.1%) 0.678
 Pneumonia, n (%) 2/101 (2.0%) 1/51 (2.0%) 1/50 (2.0%) 1
 Deep abscess, n (%) 2/101 (2.0%) 1/51 (2.0%) 1/50 (2.0%) 1
 Sepsis, n (%) 1/101 (1.0%) 1/51 (2.0%) 0/50 (0%) 1
 Other infections, n (%) 1/101 (1.0%) 1/51 (2.0%) 0/50 (0%) 1

Patients were categorized into two groups based on their diagnosis date: within 5 years of the most recent case (December 2011–November 2016, later group) or earlier (August 2005–November 2011, earlier group). MACCEs, major adverse cardiovascular and cerebrovascular events; N/A, not available.

Changes in the clinical presentation over time

To assess temporal changes in the clinical presentation, we compared the prevalence of symptoms, signs and comorbidities in this study with data from a nationwide survey conducted by the MHLWJ in 1997 (16) and traditional reports compiled by Rosset et al. (8) (Supplementary Table 1). The frequency of specific cushingoid features, except for moon face, and non-specific cushingoid features, such as diabetes mellitus, menstrual irregularities, obesity and dyslipidemia, was significantly lower in our cohort compared with previous reports. The trends in hypertension, depression and osteoporosis varied by region. In addition, significant differences in the prevalence of easy bruising, hypertension and osteoporosis were observed between the earlier and later groups.

Discussion

This multicenter study in Japan demonstrated that fully developed adrenal CS has been identified less frequently in the twenty-first century compared with the previous century, and clinical outcomes did not improve during the 2000s. One possible reason for the increased detection of less florid CS is the higher likelihood of encountering AIs, as AIs discovery led to CS diagnosis in approximately 33% of the study cohort. Similar trends have been observed in West and North Africa (10, 14, 15, 16). In addition, Braun et al. (28) reported that the presence of AIs independently increased the likelihood of a CS diagnosis. However, the incidence of AIs far exceeds that of CS (11, 12). Given that the Endocrine Society’s practice guidelines for CS (29) advise against widespread testing for all suspected cases, additional information is needed to enhance the pretest probability for detecting CS. In this study, only one patient (1/100, 1%) was male with an adrenal tumor smaller than 2.0 cm (7/101, 6.0%), suggesting that clinical evaluation can significantly reduce the likelihood of CS.

To assess the impact of AIs on early CS detection, we categorized adrenal CS patients into two groups based on whether their diagnosis resulted from AIs (n = 34) or not (n = 67). The mean number of specific cushingoid features was comparable between the two groups (2.3 ± 1.4 vs 2.7 ± 1.2, P = 0.119, data not shown). Similar trends were observed in non-specific cushingoid features, endocrinological findings, comorbidities and MAACEs. Conversely, when categorized based on having fewer than two specific cushingoid features (n = 21) versus two or more (n = 80), the detection rate of AIs tended to be higher, and serum cortisol levels at midnight or after a 1 mg DST were lower in those with fewer features than in those with more pronounced features (52.4 vs 28.7%, P = 0.067; 15.4 ± 4.4 μg/dL vs 18.2 ± 5.4 μg/dL, P = 0.031; and 16.3 ± 5.0 μg/dL vs 19.1 ± 5.3 μg/dL, P = 0.03, respectively, data not shown). Furthermore, the Cochran–Armitage test indicated that the trend across the diagnosis rate of CS leading to AIs rose with an increasing number of positive findings of specific cushingoid features (P = 0.035, data not shown). These findings suggest that while AIs may aid in identifying patients with less florid CS, they are unlikely to contribute to earlier diagnosis.

Cushingoid features can be categorized as specific or non-specific. Specific features help differentiate patients with severe CS from those without CS or those with cardiometabolic disorders or AIs with mild autonomous cortisol secretion (30). In this study, a moon face was observed in over 80% of participants, making it the most prevalent specific cushingoid feature. This suggests that a moon face may appear early and/or serve as the first distinct sign in most CS cases. Therefore, when evaluating patients at risk for CS, physicians should compare past and current photographs to facilitate early diagnosis. The development of advanced facial recognition software capable of detecting facial changes over time could further aid in preventing missed diagnoses of CS (31, 32). In addition, central obesity, defined by a dorsocervical and/or subclavian fat pad, was present in over 50% of CS cases, whereas obesity based on BMI criteria was observed in approximately 40% (24). The rising global prevalence of overweight and obesity complicates the diagnosis of CS. However, general obesity may negatively impact CS prediction (33). Our findings suggest that body shape, fat distribution – including the presence of a distinct fad pad – and facial contour are more relevant than body weight in distinguishing CS from general obesity. This distinction may help reduce unnecessary testing for CS.

Consistent with previous studies (33, 34), cardiometabolic conditions such as metabolic syndrome and bone comorbidities (i.e., osteoporosis and fractures) were frequently observed in patients with CS. However, as noted earlier, the prevalence of AIs with mild cortisol hypersecretion is significantly higher than that of CS, and non-specific cortisol-related cardiometabolic comorbidities are also common in AIs (34). Because these conditions are prevalent in the general population, broad screening has not been endorsed, as some non-specific features (e.g., hypertension, obesity and glucose intolerance) are more likely to indicate non-CS (35). Therefore, as recommended by clinical guidelines (29), additional factors – such as comorbidities that develop atypically with age, worsen over time or appear sequentially – should be considered before initiating screening. Moreover, in this study, 19 MACCEs or severe infections requiring hospitalization were reported in 16 patients (15.8%). This underscores the fact that, even in the 2000s, delays in diagnosing adrenal CS persist, necessitating improvements to reduce complications. Similarly, Rubinstein et al. (10) found no evidence of earlier CS diagnosis in patients treated after 2000 compared to studies conducted before 2000.

Our study revealed four notable findings in the endocrinological data. First, we confirm that CS should not be ruled out even if morning serum cortisol levels are normal, as this was observed in 66% of our patients. Endocrinologists must inform general practitioners to prevent missed diagnoses of CS. Second, post-1 mg DST serum cortisol levels in our cohort were much higher than the 1.8 μg/dL (50 nmol/L) cutoff recommended by the Endocrine Society Practical Guideline (29), consistently exceeding 5.0 μg/dL (138 nmol/L). Ceccato et al. (33) suggested a new threshold of 7.1 μg/dL (196 nmol/L) to distinguish CS from AIs without CS and 2.4 μg/dL (66 nmol/L) to differentiate CS from non-CS. We considered adjusting DST cutoffs based on the patient’s circumstances (e.g., the presence or absence of AIs or specific cushingoid features). Recent guidelines state that cortisol autonomy exists on a biological continuum, without a distinct separation between nonfunctioning and functioning adenomas with varying degrees of cortisol excess (12). Any post-DST cortisol cutoff value generally demonstrates poor accuracy in predicting prevalent comorbidities in patients with AIs. However, this finding applies to patients without overt CS, as the risk of developing CS is very low in the absence of clinical signs at the initial assessment. Furthermore, adrenal adenomas associated with overt CS have shown a distinct mutation profile compared to those with mild autonomous cortisol secretion (36). These results suggest that the two types of adenomas should be distinguished. Our data indicate that if serum cortisol levels after DST are significantly higher than the current cutoff value (i.e., 1.8 μg/dL), physicians should carefully assess patients for specific cushingoid features. A large-scale nationwide study in Japan, including adrenal CS, AIs with autonomous cortisol secretion, and non-CS, is needed to determine the optimal serum cortisol level cutoff after a DST for diagnosing adrenal CS in the Japanese population.

Third, normal UFC levels were found in 25% of participants despite elevated serum cortisol levels after the DST or at midnight in all patients. Several factors such as urinary volume, adherence to proper urine collection, day-to-day variability, and the number of measurements can affect UFC levels (37). To assess the impact of renal function on these results, we analyzed the estimated glomerular filtration rate (eGFR) in patients with normal UFC levels. The mean UFC levels were lower in patients with an eGFR <60 mL/min/m2 (n = 22) than in those with an eGFR ≥60 mL/min/m2 (n = 68) (1.0 ± 0.8 × ULN vs 4.0 ± 4.3 × ULN, P = 0.016), suggesting that renal impairment partially contributed to the discrepancies. Unfortunately, other factors affecting the results were not available in our data. Finally, all but one patient (97.3%) had peak plasma ACTH levels <10 pg/mL after CRH stimulation. This test may yield pseudo-positive results, as the exceptional patient had five specific cushingoid features along with typical autonomous cortisol secretion in CS (e.g., serum cortisol levels at midnight and after 1 mg DST near 20 μg/dL). Thus, the CRH stimulation test may not provide additional information for most patients with adrenal CS exhibiting clear ACTH suppression.

This study has several limitations, primarily due to its retrospective, cross-sectional design. First, selection bias may have occurred due to differences in data handling across participating centers, endocrine tests related to CS, or assay methods for CS-related comorbidities. Second, there were varying numbers of patients available for each measurement. Third, the absence of a predefined diagnostic protocol for CS and its comorbidities may have contributed to inconsistencies in diagnosis. Fourth, comparisons were challenging due to the wide variability in assay methods. Fifth, a 5-year period may be insufficient to evaluate changes in the clinical presentation of CS over time. Finally, as the study was conducted solely in Japan and primarily referenced Japanese CS and/or subclinical CS clinical guidelines (20, 21), its findings may not be generalizable. However, a key strength of this study is its involvement of multiple centers and a larger sample size compared to previous studies.

In conclusion, cases of adrenal CS in the 2000s were less florid than in previous decades although no further clinical improvement was observed during this century. A new model for the early detection of CS is necessary, as the prevalence of CS-related complications remains high. To reduce the time to diagnosis of adrenal CS, it is important to avoid overlooking moon face and central obesity with dorsocervical and/or subclavian fat pad, assess morning ACTH and serum cortisol after a DST with higher cutoff values than those recommended by the Endocrine Society, use abdominal computed tomography, and consider tumor size and patient sex when evaluating patients with suspected CS. Additional studies are needed to create a more effective diagnostic method for earlier identification of CS.

Supplementary materials

This is linked to the online version of the paper at https://doi.org/10.1530/EC-24-0684.

Declaration of interest

The authors declare that there are no conflicts of interest that could be perceived as affecting the impartiality of the research presented.

Funding

This research was supported by the National Center for Global Health and Medicine, Japan (grant numbers 21A1015, 24A1004), the MHLWJ (grant number Nanbyo-Ippan-23FC1041) and AMED, Japan (grant numbers JP17ek010922, JP20ek0109352).

Author contribution statement

Takuyuki Katabami (conceptualization (lead), methodology (lead), validation (equal), visualization (lead), writing–original draft (lead), writing–review and editing (equal)), Shiko Asai (data curation (lead), formal analysis (lead), investigation (equal), software (equal), visualization (equal), writing–review and editing (equal)), Ren Matsuba (data curation (equal), formal analysis (lead), investigation (equal), software (equal), visualization (equal), writing–review and editing (equal)), Masakatsu Sone (data curation (equal), investigation (supporting), writing–review and editing (supporting)), Shoichiro Izawa (data curation (equal), investigation (supporting), writing–review and editing (supporting)), Takamasa Ichijo (data curation (equal), investigation (supporting), writing–review and editing (supporting)), Mika Tsuiki (data curation (equal), investigation (supporting), writing–review and editing (supporting)), Shintaro Okamura (data curation (equal), investigation (supporting), writing–review and editing (supporting)), Takanobu Yoshimoto (data curation (equal), investigation (supporting), writing–review and editing (supporting)), Michio Otsuki (data curation (equal), investigation (supporting), writing–review and editing (supporting)), Yoshiyu Takeda (data curation (equal), investigation (supporting), writing–review and editing (supporting)), Mitsuhide Naruse (data curation (equal), project administration (equal), supervision (lead), validation (lead), writing–review and editing (lead)), Akiyo Tanabe (data curation (equal), funding acquisition (lead), project administration (equal), resource (lead), supervision (lead), validation (lead), writing–review and editing (lead)), ACPA-J Study Group (data curation (equal), investigation (supporting), writing–review and editing (supporting)).

Data availability

The data supporting this article cannot be shared publicly due to restrictions imposed by the authors’ institutes. Data can be made available upon reasonable request to the corresponding author.

Acknowledgments

We acknowledge the contributions of the ACPA-J Study Group members, including Daisuke Taura (Kyoto University), Mukai Kosuke (Osaka University), Shigeatsu Hashimoto (Fukushima Medical University Aizu Medical Center), Masanori Murakami (Tokyo Medical and Dental University), Norio Wada (Sapporo City General Hospital), Mai Asano (Kyoto Prefectural University), Yutaka Takahashi (Nara Medical University), Hidenori Fukuoka (Nara Medical University) and Tomoko Suzuki (International University of Health and Welfare).

References

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Therapeutic Options for the Prevention of Thromboses in Cushing’s Syndrome

Posted on May 26, 2025 by MaryO

Abstract

Introduction

Cushing’s syndrome, or hypercortisolism, occurs after prolonged exposure to excess cortisol, and can be characterized by moon facies, central fat redistribution, proximal limb muscle weakness and wasting, and abdominal striae. Medical literature points to a relationship between hypercortisolism and hypercoagulability, with higher rates of venous thromboembolism noted. Current guidelines recommend prophylaxis with low-molecular weight heparin (LMWH), but there is little evidence to support LMWH over other forms of anticoagulation.

Methods

We utilized TriNetX US Collaborative Network (TriNetX, LLC, Cambridge, Massachusetts, United States) to investigate the efficacy of different forms of anticoagulation in patients with hypercortisolism, defined by International Classification of Diseases, Tenth Revision (ICD-10) codes. Adult patients with hypercortisolism and prescribed enoxaparin, a form of LMWH, were compared to patients with hypercortisolism prescribed unfractionated heparin, warfarin, apixaban, and aspirin at 81 mg. Groups were propensity-matched according to age at index event, sex, race, ethnicity, and comorbid conditions. The outcomes studied included pulmonary embolism (PE), upper extremity deep vein thrombosis (UE DVT), lower extremity deep venous thrombosis (LE DVT), superficial venous thrombosis (superficial VT), bleeding, transfusion, and all-cause mortality.

Results

No significant differences in outcomes were noted between enoxaparin and heparin, warfarin, or apixaban in patients with hypercortisolism of any cause. Uniquely, the enoxaparin cohort had significantly higher risk of PE, LE DVT, and all-cause mortality compared to the aspirin 81 mg cohort (PE: hazard ratio (HR) 1.697, 95%CI 1.444-1.994, p=0.0345; LE DVT: HR 1.492, 95%CI 1.28-1.738, p=0.0017; mortality: HR 1.272, 95%CI 1.167-1.386, p=0.0002). With further sub-analysis of pituitary-dependent (Cushing’s Disease), enoxaparin continued to demonstrate a higher risk for LE DVT (HR 1.677, 95%CI 1.353-2.079, p=0.0081), and all-cause mortality (HR 1.597, 95%CI 1.422-1.794, p=0.0005).

Conclusion

Although LMWH is currently recommended as the gold standard for anticoagulation in patients with hypercortisolism, our evidence suggests that low-dose antiplatelets such as aspirin 81 mg could outperform it. Further research is warranted to confirm and replicate our findings.

Introduction

Cortisol is produced within the zona fasciculata of the adrenal cortex and is typically released under stress [1]. Cushing’s Syndrome, first defined in 1912 by American neurosurgeon Harvey Cushing, is a state of prolonged hypercortisolism, presenting with classic phenotypic manifestations, including moon facies, central fat deposition, proximal limb muscle weakness and muscle wasting, and abdominal striae [2]. Cushing’s syndrome can be exogenous (medication-induced/iatrogenic) or endogenous (ectopic adrenocorticotrophic hormone (ACTH), pituitary-dependent, or adrenal adenoma/carcinoma) [3]. Pituitary adenomas causing ACTH-dependent cortisol excess account for 80% of endogenous cases of Cushing’s Syndrome and are more specifically termed Cushing’s Disease [4]. Overall, however, the most common cause of Cushing’s Syndrome is iatrogenic, from exogenous corticosteroid administration [5].

Hypercortisolism has also been demonstrated to affect coagulation, though the mechanism is unclear [6]. Both venous thromboemboli and pulmonary emboli rates are increased among these patients [7]. The Endocrine Society Guidelines for Treatment of Cushing Syndrome describe altered coagulation profiles that take up to one year to normalize [8]. As a result, limited guidelines recommend prophylactic anticoagulation in Cushing syndrome; while low-molecular-weight heparin (LMWH) is the gold standard, there is little evidence behind this recommendation [9]. Furthermore, few studies assessed individual Cushing’s Syndrome subtypes and associated clotting risks or anticoagulation impact. It is currently unknown whether the antagonistic effects of cortisol will be augmented or hindered by anticoagulation other than LMWH.

This retrospective multicenter study aimed to address this paucity in data by analyzing differences among various forms of anticoagulation. Patients with Cushing syndrome who were on one of three common anticoagulants, or aspirin, were compared to patients with Cushing’s Syndrome on enoxaparin, an LMWH considered the gold standard for prophylaxis in this population. Primary objectives included end-points concerning thromboses (such as pulmonary embolism (PE), upper and lower extremity deep vein thromboses (DVTs), and superficial venous thrombosis (VT)). Secondary objectives included analyzing safety profiles (bleeding, transfusion requirements, and all-cause mortality).

Materials & Methods

Eligibility criteria

TriNetX Global Collaborative network (TriNetX, LLC, Cambridge, Massachusetts, United States), a nationwide database of de-identified health data across multiple large healthcare organizations (HCOs), was utilized to compile patients according to International Classification of Diseases, Tenth Revision (ICD-10) codes (Figure 1).

Flow-chart-for-inclusion-and-exclusion-criteria-for-the-study
Figure 1: Flow chart for inclusion and exclusion criteria for the study

PE: pulmonary embolism; VT: venous thrombosis; DVT: deep vein thrombosis; UE: upper extremity; LE: lower extremity

ICD-10 codes included those related to Cushing’s Syndrome and one of five studied medications: enoxaparin, heparin, apixaban, warfarin, and aspirin, included in Tables 1 and 2, respectively. ICD-10 codes also included those related to outcomes, including PE, upper extremity (UE) DVT, lower extremity (LE) DVT, superficial VT, bleeding, transfusion, and all-cause mortality (Table 3). Measures of association involved calculating risk differences and relative risks (RRs) with 95% confidence intervals (CIs) to compare the proportion of patients experiencing each outcome across cohorts.

Cushing’s Syndrome Type ICD-10 Code
Cushing Syndrome (unspecified) Drug-Induced Cushing Syndrome (UMLS:ICD10CM:E24.2)
Other Cushing Syndrome (UMLS:ICD10CM:E24.8)
Cushing Syndrome, Unspecified (UMLS:ICD10CM:E24.9)
Pituitary-Dependent Cushing Disease (UMLS:ICD10CM:E24.0)
Cushing Syndrome (UMLS:ICD10CM:E24)
Ectopic ACTH Syndrome (UMLS:ICD10CM:E24.3)
Cushing Syndrome (pituitary) Pituitary-Dependent Cushing Disease (UMLS:ICD10CM:E24.0  )
Table 1: International Classification of Disease (ICD)-10 codes utilized to identify patients with Cushing Syndrome in the TriNetX database
Medication ICD-10 Code
Enoxaparin NLM:RXNORM:67108
Warfarin NLM:RXNORM:11289
Heparin NLM:RXNORM:5224
Apixaban NLM:RXNORM:1364430
Aspirin NLM:RXNORM:1191
Table 2: International Classification of Disease (ICD)-10 codes utilized to identify anticoagulants and antiplatelets studied in the TriNetX database
Outcome ICD-10 Codes
Pulmonary Embolism Pulmonary Embolism UMLS:ICD10CM:I26
Upper Extremity DVT Acute embolism and thrombosis of deep veins of unspecified upper extremity UMLS:ICD10CM:I82.629
Chronic embolism and thrombosis of deep veins of unspecified upper extremity UMLS:ICD10CM:I82.729
Acute embolism and thrombosis of deep veins of right upper extremity UMLS:ICD10CM:I82.621
Acute embolism and thrombosis of deep veins of left upper extremity UMLS:ICD10CM:I82.622
Acute embolism and thrombosis of deep veins of upper extremity, bilateral UMLS:ICD10CM:I82.623
Chronic embolism and thrombosis of deep veins of right upper extremity UMLS:ICD10CM:I82.721
Chronic embolism and thrombosis of deep veins of left upper extremity UMLS:ICD10CM:I82.722
Chronic embolism and thrombosis of deep veins of upper extremity, bilateral UMLS:ICD10CM:I82.723
Lower Extremity DVT Acute embolism and thrombosis of unspecified deep veins of unspecified lower extremity UMLS:ICD10CM:I82.409
Chronic embolism and thrombosis of unspecified deep veins of unspecified lower extremity UMLS:ICD10CM:I82.509
Chronic embolism and thrombosis of unspecified deep veins of lower extremity UMLS:ICD10CM:I82.50
Chronic embolism and thrombosis of unspecified deep veins of lower extremity, bilateral UMLS:ICD10CM:I82.503
Acute embolism and thrombosis of unspecified deep veins of lower extremity UMLS:ICD10CM:I82.40
Acute embolism and thrombosis of unspecified deep veins of left lower extremity UMLS:ICD10CM:I82.402
Acute embolism and thrombosis of unspecified deep veins of right lower extremity UMLS:ICD10CM:I82.401
Chronic embolism and thrombosis of unspecified deep veins of left lower extremity UMLS:ICD10CM:I82.502
Chronic embolism and thrombosis of unspecified deep veins of right lower extremity UMLS:ICD10CM:I82.501
Chronic embolism and thrombosis of left femoral vein UMLS:ICD10CM:I82.512
Chronic embolism and thrombosis of right femoral vein UMLS:ICD10CM:I82.511
Acute embolism and thrombosis of right iliac vein UMLS:ICD10CM:I82.421
Chronic embolism and thrombosis of femoral vein, bilateral UMLS:ICD10CM:I82.513
Chronic embolism and thrombosis of unspecified deep veins of unspecified distal lower extremity UMLS:ICD10CM:I82.5Z9
Chronic embolism and thrombosis of unspecified tibial vein UMLS:ICD10CM:I82.549
Acute embolism and thrombosis of deep veins of lower extremity UMLS:ICD10CM:I82.4
Chronic embolism and thrombosis of deep veins of lower extremity UMLS:ICD10CM:I82.5
Chronic embolism and thrombosis of other specified deep vein of unspecified lower extremity UMLS:ICD10CM:I82.599
Acute embolism and thrombosis of unspecified deep veins of unspecified proximal lower extremity UMLS:ICD10CM:I82.4Y9
Superficial VT Embolism and thrombosis of superficial veins of unspecified lower extremity UMLS:ICD10CM:I82.819
Acute embolism and thrombosis of superficial veins of unspecified upper extremity UMLS:ICD10CM:I82.619
Chronic embolism and thrombosis of superficial veins of unspecified upper extremity UMLS:ICD10CM:I82.719
Bleeding Hematemesis UMLS:ICD10CM:K92.0
Hemoptysis UMLS:ICD10CM:R04.2
Hemorrhage from respiratory passages UMLS:ICD10CM:R04
Hemorrhage from other sites in respiratory passages UMLS:ICD10CM:R04.8
Hemorrhage from other sites in respiratory passages UMLS:ICD10CM:R04.89
Melena UMLS:ICD10CM:K92.1
Hemorrhage of anus and rectum UMLS:ICD10CM:K62.5
Epistaxis UMLS:ICD10CM:R04.0
Transfusion Transfusion of Nonautologous Whole Blood into Peripheral Vein, Percutaneous Approach UMLS:ICD10PCS:30233H1
Transfusion of Nonautologous Whole Blood into Central Vein, Percutaneous Approach UMLS:ICD10PCS:30243H1
Transfusion of Nonautologous Red Blood Cells into Peripheral Vein, Percutaneous Approach UMLS:ICD10PCS:30233N1
Transfusion, blood or blood components UMLS:CPT:36430
Transfusion of Nonautologous Red Blood Cells into Central Vein, Percutaneous Approach UMLS:ICD10PCS:30243N1
Transfusion of Nonautologous Frozen Red Cells into Peripheral Vein, Percutaneous Approach UMLS:ICD10PCS:30233P1
Transfusion of Nonautologous Red Blood Cells into Peripheral Artery, Percutaneous Approach (deprecated 2020) UMLS:ICD10PCS:30253N1
Transfusion of Nonautologous Frozen Red Cells into Central Vein, Percutaneous Approach UMLS:ICD10PCS:30243P1
Transfusion of Nonautologous Red Blood Cells into Central Artery, Percutaneous Approach (deprecated 2020) UMLS:ICD10PCS:30263N1
Transfusion of Nonautologous Frozen Red Cells into Peripheral Artery, Percutaneous Approach (deprecated 2020) UMLS:ICD10PCS:30253P1
Transfusion of Nonautologous Frozen Red Cells into Central Artery, Percutaneous Approach (deprecated 2020) UMLS:ICD10PCS:30263P1
Transfusion of blood product UMLS:SNOMED:116859006
Transfusion of red blood cells UMLS:SNOMED:116863004
Mortality Deceased Deceased (demographic)
Table 3: International Classification of Disease (ICD)-10 codes utilized to identify outcomes followed in the TriNetX database

DVT: Deep Venous Thrombosis; VT: Venous Thrombosis

Cohort definitions

For each medication listed, two cohorts were compared: (i) a cohort of patients with hypercortisolism on enoxaparin and (ii) a cohort of patients with hypercortisolism on heparin, warfarin, apixaban, or aspirin at 81 mg (Table 4). The cohorts strictly assessed only adult patients (defined as at least 18 years of age); pediatric patients were not analyzed.

Cohort Run
Enoxaparin 146 HCOs with 99 providers responding with 12,885 patients
Heparin 145 HCOs with 97 providers responding with 16,376 patients
Warfarin 145 HCOs with 82 providers responding with 3,230 patients
Apixaban 146 HCOs with 91 providers responding with 3,982 patients
Aspirin (81 mg) 144 HCOs with 51 providers responding with 8,200 patients
Table 4: Outputs of healthcare organization queries as defined in corresponding tables

HCO: Healthcare Organization

Statistical analysis

Index events and time windows were defined to analyze patient outcomes. The index event was defined as the first date a patient met the inclusion criteria for a cohort. The time window was defined as the five years after the index event during which a pre-defined outcome could occur. Outcomes of interest were identified using ICD-10 codes as outlined in Table 1, and included PE, UE DVT, LE DVT, superficial VT, bleeding, transfusion, and all-cause mortality. Cohorts were propensity score-matched 1:1 according to age at index event, sex, race and ethnicity, and comorbid conditions, including endocrine, cardiac, pulmonary, gastrointestinal, and genitourinary conditions (Table 5). Propensity score-matching was performed using TriNetX, with a greedy (nearest) neighbor matching algorithm (caliper of 0.1 pooled standard deviations).

Variable ICD-10 Code
Demographics Age at Index (AI)
Female (F)
Black/African American (2054-5)
Male (M)
White (2106-3)
American Indian/Alaskan Native (1002-5)
Unknown Race (UNK)
Native Hawaiian/Other Pacific Islander (2076-8)
Unknown Gender (UN)
Not Hispanic/Latino (2186-5)
Hispanic/Latino (2135-2)
Other Race (2131-1)
Asian (2028-9)
Diagnosis Endocrine, nutritional and metabolic diseases (E00-E89)
Factors influencing health status and contact with health services (Z00-Z99)
Diseases of the musculoskeletal system and connective tissue (M00-M99)
Diseases of the circulatory system (I00-I99)
Diseases of the digestive system (K00-K95)
Diseases of the nervous system (G00-G99)
Diseases of the respiratory system (J00-J99)
Diseases of the genitourinary system (N00-N99)
Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism (D50-D89)
Neoplasms (C00-D49)
Diseases of the skin and subcutaneous tissue (L00-L99)
Table 5: International Classification of Disease (ICD)-10 codes utilized to propensity match cohorts in the TriNetX database

Three analytical approaches were performed for this study, including measures of association, survival analysis, and frequency analysis. The measure of association analysis involved calculating RRs (and risk differences) with 95%CIs, comparing the proportion of patients across each cohort experiencing an outcome. Survival analysis was performed with Kaplan-Meier estimators (evaluating time-to-event outcomes), with Log-Rank testing incorporated to compare the survival curves. Furthermore, Cox proportional hazard models were incorporated to provide an estimate of the hazard ratios (HR) and 95%CIs. Patients who exited a cohort before the end of the time window were excluded from the survival analysis. The frequency analysis was performed by calculating the proportion of patients in each cohort who experienced an outcome during the defined period of five years.

For statistically significant associations, an E-value was calculated to assess the potential impact of unmeasured confounders, quantifying the minimum strength of association that would be required by an unmeasured confounder to explain the observed effect (beyond our measured covariates); an E-value of above 2.0 was considered modestly robust, and above 3 was considered strongly robust. Additionally, a limited sensitivity analysis assessing Pituitary Cushing’s (the most common cause of endogenous Cushing’s Syndrome) was performed. All analyses were conducted through TriNetX, with statistical significance defined as a p-value < 0.05.

Results

Cushing’s syndrome, unspecified

Enoxaparin and Heparin

After propensity-score matching, 8,658 patients were identified in each cohort. The average age at index event for the enoxaparin cohort was 54.5 + 16.5 years, compared to 53.1 + 17.3 years for the heparin cohort. The enoxaparin cohort had 6,216 females (71.8%), compared to 6,000 (69.3%) in the heparin cohort. Within the enoxaparin cohort, 6035 (69.7%) were Caucasian patients, followed by 987 (11.4%) African American patients, 753 (8.7%) Hispanic/Latino patients, and 216 (2.5%) Asian patients. The heparin cohort was similar in ethnicity, with 5,800 (67.0%) Caucasian patients, 1,099 (12.7%) African American patients, 753 (8.7%) Hispanic/Latino patients, and 268 (3.1%) Asian patients. The enoxaparin and heparin cohorts demonstrated no significant differences in PE (HR 1.171, 95%CI 1.017-1.348, p=0.1797), UE DVT (HR 1.067, 95%CI 0.837-1.362, p=0.8051), LE DVT (HR 1.066, 95%CI 0.931-1.222, p=0.1922), superficial VT (HR 0.974, 95%CI 0.672-1.41, p=0.4576), bleeding (HR 0.948, 95%CI 0.855-1.05, p=0.3547), transfusion (HR 0.873, 95%CI 0.786-0.969, p=0.1767), or all-cause mortality (HR 1.036, 95%CI 0.966-1.11, p=0.9954). A comprehensive summary of the results is demonstrated in Table 6.

p-value Medication 1 Medication 2 PE UE DVT LE DVT S VT Bleeding Transfusion Mortality
enoxaparin heparin 0.1797 0.8051 0.1922 0.4576 0.3547 0.1767 0.9954
enoxaparin warfarin 0.3828 0.6 0.1963 0.0995 0.7768 0.5715 0.15
enoxaparin apixaban 0.6491 0.6275 0.723 0.4198 0.4356 0.4299 0.2628
enoxaparin aspirin 81 mg 0.0345 0.587 0.0017 0.4218 0.246 0.2057 0.0002
– – – – – – – – – –
HR Medication 1 Medication 2 PE UE DVT LE DVT S VT Bleeding Transfusion Mortality
enoxaparin heparin 1.171 1.067 1.066 0.974 0.948 0.873 1.036
enoxaparin warfarin 0.936 0.969 0.708 0.655 0.961 1.127 1.042
enoxaparin apixaban 0.798 0.666 0.684 4.059 0.933 1.089 1.041
enoxaparin aspirin 81 mg 1.697 1.398 1.492 1.718 1.107 1.347 1.272
– – – – – – – – – –
95% CIs Medication 1 Medication 2 PE UE DVT LE DVT Superficial VT Bleeding Transfusion Mortality
enoxaparin heparin 1.017-1.348 0.837-1.362 0.931-1.222 0.672-1.41 0.855-1.05 0.786-0.969 0.966-1.11
enoxaparin warfarin 0.755-1.161 0.692-1.356 0.583-0.859 0.376-1.142 0.812-1.137 0.95-1.336 0.93-1.167
enoxaparin apixaban 0.608-1.047 0.431-1.03 0.593-0.788 1.156-14.258 0.771-1.129 0.892-1.33 0.912-1.189
enoxaparin aspirin 81 mg 1.444-1.994 1.06-1.845 1.28-1.738 1.011-2.92 0.986-1.243 1.185-1.532 1.167-1.386
Table 6: Hazard Ratio, 95% Confidence Intervals and p-values for anticoagulation and antiplatelet comparisons in all causes of Cushing’s Syndrome

HR: hazard ratio; CI: confidence interval; PE: pulmonary embolism; VT: venous thrombosis; DVT: deep vein thrombosis; UE: upper extremity; LE: lower extremity

Enoxaparin and Warfarin

After propensity-score matching, 2,786 patients were identified in each cohort. The average age at index event for the enoxaparin cohort was 54.8 + 16.4 years, compared to 58.9 + 15.9 years for the warfarin cohort. The enoxaparin cohort had 2,020 female patients (72.5%) compared to 1,861 (66.8%) in the warfarin cohort. Within the enoxaparin cohort, 2,000 (71.8%) were Caucasian patients, followed by 334 (12.0%) African American patients, 220 (7.98%) Hispanic/Latino patients, and 64 (2.3%) Asian patients. The warfarin cohort was similar, with 2,056 (73.8%) Caucasian patients, 312 (11.2%) African American patients, 170 (6.1%) Hispanic/Latino patients, and 92 (3.3%) Asian patients. The enoxaparin and warfarin cohorts demonstrated no significant differences in PE (HR 0.936, 95%CI 0.755-1.161, p=0.3828), UE DVT (HR 0.969, 95%CI 0.692-1.356, p=0.6), LE DVT (HR 0.708, 95%CI 0.583-0.859, p=0.1963), superficial VT (HR 0.655, 95%CI 0.376-1.142, p=0.0995), bleeding (HR 0.961, 95%CI 0.812-1.137, p=0.7768), transfusion (HR 1.127, 95%CI 0.95-1.336, p=0.5715), or all-cause mortality (HR 1.042, 95%CI 0.93-1.167, p=0.15) (Table 6).

Enoxaparin and Apixaban

After propensity-score matching, 2,429 patients were identified in each cohort. The average age at index event for the enoxaparin cohort was 54.6 + 16.4 years, compared to 61.2 + 15.2 years for the apixaban cohort. The enoxaparin cohort had 1,746 female patients (71.9%) compared to 1,571 (64.7%) in the apixaban cohort. Within the enoxaparin cohort, 1632 (67.2%) were Caucasian patients, 318 (13.1%) African American patients, 219 (9.0%) Hispanic/Latino patients, and 68 (2.8%) Asian patients. A similar composition was noted in the apixaban cohort, with 1,683 (69.3%) Caucasian patients, 321 (13.2%) African American patients, 141 (5.8%) Hispanic/Latino patients, and 53 (2.2%) Asian patients. The enoxaparin and apixaban cohorts demonstrated no significant differences in PE (HR 0.798, 95%CI 0.608-1.047, p=0.6491), UE DVT (HR 0.666, 95%CI 0.431-1.03, p=0.6275), LE DVT (HR 0.684, 95%CI 0.593-0.788, p=0.723), superficial VT (HR 4.059, 95%CI 1.156-14.258, p=0.4198), bleeding (HR 0.933, 95%CI 0.771-1.129, p=0.4356), transfusion (HR 1.089, 95%CI 0.892-1.33, p=0.4299), or all-cause mortality (HR 1.041, 95%CI 0.912-1.189, p=0.2628) (Table 6).

Enoxaparin and Aspirin 81 mg

After propensity-score matching, 6,433 patients were identified in each cohort. The average age at index event for the enoxaparin cohort was 54.5 + 16.6 years, compared to the aspirin 81 mg cohort at 58.8 + 14.9 years. The enoxaparin cohort had 4664 female patients (72.5%) compared to 4,445 (69.1%) in the aspirin 81 mg cohort. Within the enoxaparin cohort, 4,522 (70.3%) were Caucasian patients, followed by 766 (11.9%) African American patients, 521 (8.1%) Hispanic/Latino patients, and 193 (3.0%) Asian patients. Similar demographics were noted within the Aspirin 81 mg cohort, with 4,670 (72.6%) Caucasian patients, 817 (12.7%) African American patients, 425 (6.6%) Hispanic/Latino patients, and 167 (2.6%) Asian patients. The enoxaparin cohort demonstrated a significantly higher risk of PE (HR 1.697, 95%CI 1.444-1.994, p=0.0345), LE DVT (HR 1.492, 95%CI 1.28-1.738, p=0.0017), and all-cause mortality (HR 1.272, 95%CI 1.167-1.386, p=0.0002) compared to the aspirin 81 mg cohort (Figure 2). There was no significant difference in rates of UE DVT (HR 1.398, 95%CI 1.06-1.845, p=0.587), superficial VT (HR 1.718, 95%CI 1.011-2.92, p=0.4268), bleeding (HR 1.107, 95%CI 0.986-1.243, p=0.246), or transfusion (HR 1.347, 95%CI 1.185-1.532, p=0.2057) (Table 6). Due to a significant difference between enoxaparin and Aspirin 81 mg, an E-value was calculated for PE (E-value = 2.783), LE DVT (E-value = 2.348), and all-cause mortality (E-value = 1.860).

Kaplan-Meier-survival-curve-for-pituitary-Cushing's-subtype-(mortality,-LE-DVT,-and-PE)
Figure 2: Kaplan-Meier survival curve for pituitary Cushing’s subtype (mortality, LE DVT, and PE)

(A) Mortality of enoxaparin compared to aspirin 81mg (HR 1.272, 95% CI 1.167-1.386, p=0.0002); (B) LE DVT risk with enoxaparin compared to aspirin 81 mg (HR 1.492, 95%CI 1.28-1.738, p=0.0017); (C) PE risk with enoxaparin compared to aspirin 81 mg (HR: 1.697, 95%CI 1.444-1.994, p=0.0345)

DVT: deep vein thrombosis; LE: lower extremity; PE: pulmonary embolism

Pituitary hypercortisolism (Cushing’s disease)

Enoxaparin and Heparin

Propensity-score matching identified 5,602 patients per cohort. The average age at index for the enoxaparin cohort was 53.9 + 16.7 years, compared to 53.7 + 16.9 years in the heparin cohort. The enoxaparin cohort had 4,088 female patients (72.97%) compared to 4,066 (72.58%) in the heparin cohort. The enoxaparin cohort was predominantly Caucasian patients (n=3,948; 70.47%), followed by 641 (11.45%) African American patients, 424 (7.57%) Hispanic/Latino patients, and 139 (2.48%) Asian patients. The heparin cohort was also predominantly Caucasian (n=3,947; 70.46%), followed by 669 (11.94%) African American patients, 401 (7.16%) Hispanic/Latino patients, and 148 (2.64%) Asian patients. There were no significant differences in rates of PE (HR 1.208, 95%CI 1.007 – 1.451, p=0.5803), UE DVT (HR 1.156, 95%CI 0.841 – 1.59, p=0.6863), LE DVT (HR 1.246, 95%CI 1.063 – 1.46, p=0.8996), superficial VT (HR 1.347, 95%CI 0.874 – 2.075, p=0.3731), bleeding (HR 0.916, 95%CI 0.809 – 1.037, p=0.1578), transfusion (HR 0.912, 95%CI 0.798 – 1.042, p=2119), or all-cause mortality (HR 1.02, 95%CI 0.935 – 1.112, p=0.8734). A comprehensive summary of the results is demonstrated in Table 7.

p-value Medication 1 Medication 2 PE UE DVT LE DVT Superficial VT Bleeding Transfusion Mortality
enoxaparin heparin 0.5189 0.2468 0.7586 0.7708 0.5894 0.6273 0.8433
enoxaparin warfarin 0.4842 0.7763 0.9651 0.682 0.1996 0.5309 0.399
enoxaparin apixaban 0.1047 0.0423 0.647 0.4824 0.2698 0.1122 0.1044
enoxaparin aspirin 81 mg 0.9651 0.6358 0.8448 0.9765 0.1167 0.4854 0.5001
– – – – – – – – – –
HR Medication 1 Medication 2 PE UE DVT LE DVT Superficial VT Bleeding Transfusion Mortality
enoxaparin heparin 1.186 1.332 1.232 1.183 0.876 0.963 1.016
enoxaparin warfarin 0.804 0.76 0.688 0.815 1.008 1.009 0.976
enoxaparin apixaban 0.875 0.761 0.954 3.068 1.084 1.359 1.115
enoxaparin aspirin 81 mg 1.173 1.157 1.226 1.165 0.908 0.915 1.028
– – – – – – – – – –
95% CIs Medication 1 Medication 2 PE UE DVT LE DVT Superficial VT Bleeding Transfusion Mortality
enoxaparin heparin 0.983-1.433 0.941-1.885 1.032-1.47 0.776-1.803 0.769-0.998 0.808-1.147 0.929-1.112
enoxaparin warfarin 0.612-1.055 0.467-1.235 0.539-0.877 0.447-1.489 0.816-1.246 0.76-1.34 0.843-1.13
enoxaparin apixaban 0.659-1.162 0.456-1.271 0.736-1.236 0.843-11.166 0.845-1.381 0.962-1.921 0.944-1.317
enoxaparin aspirin 81mg 0.969-1.419 0.827-1.619 1.03-1.46 0.763-1.78 0.797-1.035 0.772-1.085 0.938-1.127
Table 7: Hazard ratio, 95% confidence intervals, and p-values for anticoagulation and antiplatelet comparisons in pituitary Cushing’s syndrome

HR: hazard ratio; CI: confidence interval; PE: pulmonary embolism; VT: venous thrombosis; DVT: deep vein thrombosis; UE: upper extremity; LE: lower extremity

Enoxaparin and Warfarin

Propensity-score matching was performed with 1,694 patients per cohort identified. The average age at index for the enoxaparin cohort was 58.1 + 15.8 years, compared to 58.1 + 15.9 years in the warfarin cohort. The enoxaparin cohort had 1,142 female patients (67.41%) compared to 1,143 (67.47%) in the warfarin cohort. Within the enoxaparin cohort, 1,224 (72.2%) were Caucasian patients, followed by 194 (11.45%) African American patients, 97 (5.73%) Hispanic/Latino patients, and 57 (3.37%) Asian patients. The warfarin cohort had similar demographics, with 1,223 (72.2%) Caucasian patients, followed by 194 (11.45%) African American patients, 102 (6.02%) Hispanic/Latino patients, and 65 (3.84%) Asian patients. There were no significant differences in rates of PE (HR 0.907, 95%CI 0.694 – 1.186, p=0.8117), UE DVT (HR 0.988, 95%CI 0.628 – 1.555, p=0.9848), LE DVT (HR 0.739, 95%CI 0.589 – 0.929, p=0.4445), superficial VT (HR 0.815, 95%CI 0.44 – 1.511, p=0.8098), bleeding (HR 1.001, 95%CI 0.814 – 1.231, p=0.0987), transfusion (HR 1.106, 95%CI 0.889 – 1.376, p=0.4904), or all-cause mortality (HR 0.951, 95%CI 0.83 – 1.089, p=0.1656) (Table 7).

Enoxaparin and Apixaban

Propensity-score matching identified 1,489 patients per cohort. The enoxaparin cohort was 61.1 + 15.1 years old at the index event, versus the apixaban cohort at 61.4 + 14.9 years. The enoxaparin cohort had 1,054 (70.79%) female patients compared with 1,029 (69.11%) in the apixaban cohort. The enoxaparin cohort was primarily Caucasian patients (n=1,105; 74.21%), followed by 179 (12.02%) African American patients, 74 (4.97%) Hispanic/Latino patients, and 27 (1.81%) Asian patients. The apixaban cohort demonstrated similar demographics with 1,080 (72.53%) Caucasian patients, followed by 180 (12.09%) African American patients, 76 (5.1%) Hispanic/Latino patients, and 27 (1.81%) Asian patients. There were no significant differences in rates of PE (HR 0.949, 95%CI 0.673 – 1.339, p=0.4372), UE DVT (HR 0.832, 95%CI 0.472 – 1.466, p=0.1538), LE DVT (HR 1.166, 95%CI 0.869 – 1.566, p=0.8595), superficial VT (HR 5.323, 95%CI 1.19 – 23.815, p=0.493), bleeding (HR 1.218, 95%CI 0.948 – 1.565, p=0.4021), transfusion (HR 1.319, 95%CI 0.993 – 1.753, p=0.1663), or all-cause mortality (HR 1.131, 95%CI 0.966 – 1.325, p=0.0839) (Table 7).

Enoxaparin and Aspirin 81 mg

Propensity-score matching revealed 3,475 patients per cohort. The enoxaparin cohort was 58.8 + 15.3 years at index event, compared to the aspirin cohort at 58.2 + 14.3 years. The enoxaparin cohort had 2,438 (70.16%) female patients compared to the aspirin cohort with 2,445 (70.36%). Within the enoxaparin cohort, 2,539 (73.06%) were Caucasian patients, followed by 378 (10.88%) African American patients, 182 (5.24%) Hispanic/Latino patients, and 74 (2.13%) Asian patients. The aspirin cohort demonstrated similar demographics with 2,554 (73.5%) Caucasian patients, followed by 363 (10.45%) African American patients, 196 (5.64%) Hispanic/Latino patients, and 68 (1.96%) Asian patients. The enoxaparin cohort demonstrated significantly increased risk of LE DVT (HR 1.677, 95%CI 1.353 – 2.079, p=0.0081) and all-cause mortality (HR 1.597, 95%CI 1.422 – 1.794, p=0.0005) (Figure 3). There were no significant differences in rates of PE (HR 1.74, 95%CI 1.354 – 2.236, p=0.2408), UE DVT (HR 1.773, 95%CI 1.108 – 2.837, p=0.8625), superficial VT (HR 4.273, 95%CI 1.969 – 9.273, p=0.5196), bleeding (HR 1.093, 95%CI 0.937 – 1.275, p=0.8554), or transfusion (HR 1.896, 95%CI 1.556 – 2.311, p=0.2609) (Table 7). Due to a significant difference between enoxaparin and Aspirin 81 mg, an E-value was calculated for LE DVT (E-value = 2.744) and all-cause mortality (E-value = 2.574).

Kaplan-Meier-survival-curve-for-pituitary-Cushing's-subtype-(mortality-and-LE-DVT)
Figure 3: Kaplan-Meier survival curve for pituitary Cushing’s subtype (mortality and LE DVT)

(A) Mortality of enoxaparin compared to aspirin 81 mg (HR 1.597, 95%CI 1.422-1.794, p=0.0005); (B) LE DVT of enoxaparin compared to aspirin 81 mg (HR 1.677, 95%CI: 1.353-2.079, p=0.0081)

HR: hazard ration; DVT: deep vein thrombosis; LE: lower extremity

Discussion

The concept of hypercoagulability in the setting of hypercortisolemia has been documented since the 1970s [10]. Estimates suggest an 18-fold risk of venous thromboembolism in patients with Cushing’s syndrome compared to the general population [11]. Furthermore, venous thromboembolism accounts for up to 11% of all deaths in Cushing’s syndrome [12]. Patients are often noted to have a “coagulation paradox” in Cushing’s syndrome, whereby there is a heightened risk for thrombosis, with concurrent bruising of the skin; thromboembolism is due to an imbalance between pro- and anti-coagulant pathways, whereas bruising is due to atrophy of the skin and capillary fragility [11]. As noted by Feelders and Nieman, two prominent phases for the development of thromboembolic events include the untreated (active) hypercortisolemia and the postoperative phases [11]. Population-based studies have demonstrated a heightened risk for venous thromboembolism prior to diagnosis (in some studies as early as three years before diagnosis) [9].

Despite this heightened risk for venous thromboembolic events, there appears to be a lack of awareness amongst institutions (and individual practitioners), along with improper management. Fleseriu and colleagues, however, do note that in 2020, the awareness of hypercoagulability in Cushing’s syndrome increased around fourfold in two years, with routine prophylaxis increasing to 75% (from 50%) perioperatively (however, most patients only received prophylaxis for up to two weeks postoperatively) [13]. Another survey was performed by the European Reference Network on Rare Endocrine Conditions, noting concerns of heterogeneity with timing, type, and duration of prophylaxis, noting most centers do not have a thromboprophylaxis protocol (identifying only one reference center had a standardized thromboprophylaxis protocol for Cushing’s syndrome) [14]. From the European survey, it was noted that prophylaxis was initiated at diagnosis in 48% of patients, with 17% preoperatively, 26% on the day before (or of) surgery, 13% postoperatively, and 9% “depending on the presentation”. With regards to discontinuation of thromboprophylaxis, in centers with a standardized protocol (35% of reference centers), 38% of centers stopped at one month post-operatively, 25% between two and four weeks, and 37% between one week before and two weeks after surgery, between four and six days postoperatively, and at three months postoperatively. When cessation was individualized (in the remaining 65% of reference centers), 60% discontinued thromboprophylaxis once the patient was mobile, 40% with achievement of remission, 27% regarding patient status, and 7% dependent upon hemostatic parameters [14].

There is limited guidance concerning thromboprophylaxis recommendations in Cushing’s syndrome. For example, the Endocrine Society merely recommends assessing the risk of thrombosis in Cushing’s syndrome and administering perioperative prophylaxis if undergoing surgery, but provides no further recommendations [8]. The Pituitary Society highlights the absence of standardized practice for both pre- and postoperative thromboprophylaxis in patients with Cushing’s syndrome [15]. There appears to only be one set of guidelines for thromboprophylaxis in Cushing’s syndrome, known as the “Delphi Panel Consensus”, which forms the basis for the guidelines from the European Society for Endocrinology [9]. The Delphi Panel Consensus recommends considering anticoagulation for all patients with Cushing’s syndrome (in the absence of contraindications), regardless of the underlying etiology, and is recommended in the presence of risk factors [9]. Moreover, thromboprophylaxis is advised to begin at the time of diagnosis [9]. Currently, there is not enough evidence to provide a recommendation for thromboprophylaxis in mild autonomous cortisol secretion [9]. As with any medical patient, thromboprophylaxis should be initiated in all patients with active Cushing’s syndrome who are hospitalized (without contraindications) [9, 15]. Apart from chemical prophylaxis, anti-embolic stockings are not recommended due to the risk of skin fragility and friability [9]. The Delphi Consensus Panel furthermore advises to continue prophylactic anticoagulation for at least three months after biochemical remission (eucortisolemia) has occurred, and note those without additional risk factors (such as obesity, immobility, prior history of venous thromboembolism, or cardiac risk factors) can be considered candidates to stop the medication; one caveat, however, is for patients medically managed with mitotane (which can alter liver function and coagulation factor metabolism), there is an increased risk of bleeding, for which careful monitoring of renal function and bleeding risk is advised [9]. The Pituitary Society provides additional recommendations, such as discontinuing estrogen therapy in women (if used for contraception) [15]. While the Delphi Consensus Panel does not comment upon pediatric patients, the Pituitary Society advises against the use of thromboprophylaxis in the pediatric population due to bleeding risks [15].

The Delphi Consensus Panel furthermore recommend considering thromboprophylaxis at the time of inferior petrosal sinus sampling (if not started before this), due to the risk of thrombosis associated with this intervention; for those who are receiving prophylaxis, it is recommended to continue throughout the procedure, however, if has not been started, it is advised to initiate 12 hours post procedure. Similarly, if thromboprophylaxis was not considered earlier in a patient’s course, it should be reconsidered in the perioperative period, with the last dose of LMWH administered 24 hours prior to surgery and reinitiated 24 hours postoperatively [9]. Isand et al. recommend continuing thromboprophylaxis for three months after cortisol levels normalize (< 5 μg/dL) and when patients can mobilize [9]. In patients for whom a venous thromboembolism develops, patients are advised to receive a therapeutic dose of anticoagulation (preferably LMWH) for three to six months, followed by prophylaxis for three months after resolution of Cushing’s syndrome [9]. The Delphi Consensus Panel provides a summary of their recommendations, shown in Figure 4.

Algorithm-for-thromboprophylaxis-in-Cushing's-syndrome
Figure 4: Algorithm for thromboprophylaxis in Cushing’s syndrome

IPSS: inferior petrosal sinus sampling; VTE: venous thromboembolism; LMWH: low-molecular-weight heparin; DOAC: direct oral anticoagulant

Source: Isand et al., 2025 [9]; Published with permission.

Although intuitively, one may expect the procoagulant profile of Cushing’s syndrome to resolve upon attainment of eucortisolemia with medical management, studies have failed to demonstrate a reduction in venous thromboembolism with medical therapy [16]. Additionally, while one may expect resolution of hypercoagulability with surgical intervention (transsphenoidal sinus surgery or adrenalectomy), the risk maintains in the postoperative period, comparable to that of orthopedic surgery, at times up to one year and beyond to normalize [17]; data from European Register on Cushing’s Syndrome (ERCUSYN) database suggest the risk is greatest six months postoperatively [18]. The estimated risk for postoperative venous thromboembolism in pituitary-dependent Cushing’s is around 4.3% (compared to 0% with a non-functional pituitary adenoma); regarding adrenal surgery, the risk is estimated at around 2.6% [11]. Although the underlying mechanism for the persistent risk for venous thromboembolism remains unknown, it is hypothesized that a sudden drop in cortisol can lead to an inflammatory response (itself activating the coagulation cascade) [16]. Lopes and colleagues note an increase in the number of lymphocytes (because of loss of Th1 cell suppression), with increases in cytokines (such as interferon-gamma, interleukin-2, and transforming growth factor-beta) [16]. Comorbidities such as osteoporosis and myopathy (from hypercortisolemia) may be associated with decreased mobility in the postoperative period, influencing the risk for thrombosis [16].

Whilst all subtypes of Cushing’s syndrome can be associated with a heightened risk for venous thromboembolism (pituitary adenoma, adrenal adenoma, medication-induced, ectopic ACTH, and adrenal carcinoma), the latter two are often associated with malignant disease, which itself poses a risk for hypercoagulability from the underlying neoplasm [11]. Patients with Cushing’s syndrome have been found to demonstrate a reduction in activated partial thromboplastin time (aPTT), alongside increases in clot lysis time, procoagulant factors (such as factor VIII, von-Willebrand factor and fibrinogen) and fibrinolysis inhibitors (including plasminogen activator-inhibitor-1, thrombin activatable fibrinolysis inhibitor, and alpha-2 antiplasmin) [11,12,17]. Varlamov et al. have also noted an increase in thrombin, thromboxane A2, and platelets. Other studies have additionally demonstrated elevated proteins C and S as well as antithrombin III, which are hypothesized to be increased as a compensatory mechanism from the state of hypercoagulability [12]. Barbot et al. demonstrate elevation in factor VIII and von-Willebrand factor within the first few months after transsphenoidal sinus surgery, along with abnormally large von-Willebrand multimers (which are typically found in the cellular components), which can induce spontaneous platelet aggregation [17].

Lopes et al. note that altered von-Willebrand factor levels are not a constant feature reported in Cushing’s syndrome, and state it depends upon the polymorphism of the gene promoter, providing an example of haplotype 1 of the gene promoter conferring the greatest risk for elevated von-Willebrand factor levels by cortisol [16]. Barbot and colleagues furthermore note ABO blood groupings as an additional influencer of the procoagulant state; as an example, blood group-O patients have a near one-quarter reduction in levels of von-Willebrand factor [17]. Feelders and Nieman note heterogeneity in coagulation profiles based on individual characteristics and differing assay techniques [11]. van Haalen and colleagues note an absence of a correlation between severity of hypercortisolism and hemostatic abnormalities [14]; this is echoed by Varlamov et al., stating there is no linear relationship between coagulation parameters and venous thromboembolic events, nor with urinary free cortisol elevation [12]. Varlamov and colleagues further note that a subset of patients may have unaltered coagulation parameters, for which they advise against stratifying patients’ risk based on coagulation parameters [12].

In 2016, Zilio and colleagues posed a scoring system to stratify patients with active Cushing’s syndrome, including both clinical and biochemical parameters, including age (> 69 = 2 points), reduction in mobility (2 points), acute severe infection (1 point), prior cardiovascular event(s) (1 point), midnight plasma cortisol (> 3.15 times upper limit of normal = 1 point), and shortened aPTT (1 point) [19]. Lopes et al. describe the stratification as follows: 2 points (low risk), 3 points (moderate risk), 4 points (high risk), and > 5 points (very high risk) [16]. It should be noted, however, that Zilio et al.’s study was performed on only 176 patients and has not been validated in other studies [19]. Further drawbacks include the failure to account for postoperative events (a major source of venous thromboembolism in Cushing’s syndrome), and despite the stratification categories, no recommendations for treatment are provided.

LMWH is the first-line medication, consistent across differing societies. Despite being the gold standard, there are limited studies demonstrating a beneficial reduction in venous thromboembolic events in such cohorts; similarly, studies are lacking in analysis of the other classes of anticoagulants in head-to-head comparisons against LMWH for thromboprophylaxis in hypercortisolism. Another limitation is the fact that certain studies solely address thromboprophylaxis in the postoperative period. As an example, McCormick et al. performed one of the only trials comparing unfractionated heparin and LMWH (enoxaparin), noting no differences in hemorrhagic complications or thromboses; however, this was analyzed in patients undergoing transsphenoidal sinus surgery [10].

The current study retrospectively analyzed the various anticoagulant agents for the prevention of venous thromboembolism in Cushing’s syndrome (of any subtype), compared to the gold standard, LMWH (in this study, enoxaparin). When analyzing Cushing’s syndrome, our study demonstrated no significant differences in outcomes between enoxaparin and warfarin, apixaban, or unfractionated heparin; however, aspirin 81 mg demonstrated a lower risk of all-cause mortality, PE, and LE DVT. With subanalysis of Cushing’s disease (pituitary-related), there was no significant difference between enoxaparin and warfarin, apixaban or unfractionated heparin; aspirin 81 mg again noted a reduced all-cause mortality and LE DVT (but did not lower the risk of PE, compared with Cushing’s syndrome of all types combined). With E-value sensitivity analysis, the association remained moderately robust with PE (all Cushing’s types combined), LE DVT (all Cushing’s types and pituitary Cushing’s), and mortality (solely pituitary Cushing’s), however, mortality was weak-to-moderate with Cushing’s syndrome of all types (Table 8).

Outcome Hazard Ratio E-value Interpretation
PE (All Cushing’s Types) 1.697 2.783 Moderate
LE DVT (All Cushing’s Types) 1.492 2.348 Moderate
LE DVT (Pituitary) 1.677 2.744 Moderate
Mortality (All Cushing’s Types) 1.272 1.860 Weak
Mortality (Pituitary) 1.597 2.574 Moderate
Table 8: E-value sensitivity analyses for significant findings

DVT: deep vein thrombosis; LE: lower extremity; PE: pulmonary embolism

Aspirin, a non-steroidal anti-inflammatory drug, was first identified to irreversibly inhibit platelet function in the 1950s by Dr. Lawrence Craven [20]. Data is scarce in terms of aspirin’s role in thromboprophylaxis in hypercortisolemia. In 1999, Semple and Laws Jr. initially reported the use of aspirin postoperatively for six weeks (starting postoperative day one) in patients with Cushing’s disease who underwent transsphenoidal sinus surgery; while the authors mentioned a reduction in rates of venous thromboemboli, no factual data was provided (including dose of aspirin, complications experienced, and number of venous thromboemboli before and after) [21]. In 2015, Smith et al. performed an additional study with 81 mg of aspirin again administered starting postoperative day one (alongside sequential compression devices and mobilization), reporting that none of the 82 patients developed DVTs (with only two cases of epistaxis) [22]. It was not until 1994, however, in the Antiplatelet Trialists’ Collaborations’ meta-analysis, that aspirin demonstrated a reduced risk for venous thromboembolism, with similar findings replicated in the Pulmonary Embolism Prevention trial in 2000 and the WARFASA (Warfarin and Aspirin) and ASPIRE (Aspirin to prevent recurrent venous thromboembolism) trials in 2012 [23]. In 2012, the American College of Chest Physicians [24,25] were the first to recommend aspirin as thromboprophylaxis following total hip or knee replacement, followed by the National Institute for Health and Care Excellence in 2018 (advising LMWP followed by aspirin) and the American Society of Hematology in 2019 (advising either aspirin or oral anticoagulation after total hip or knee replacement) [25]. Despite recognition of the reduction in venous thromboembolism by aspirin (and its incorporation into guidelines), its role in thromboprophylaxis is largely limited to orthopedic surgery. The mechanisms of aspirin and its reduction in venous thromboembolism is not entirely understood, but believed to occur via differing mechanisms, including inhibition of cyclooxygenase-1 (which reduces thromboxane A2, a promoter of platelet aggregation), prevention of thrombin formation and thrombin-mediated coagulant reactions, acetylation of proteins involved in coagulation (such as fibrinogen), and enhancing fibrinolysis [23,26].

Strengths and limitations

To the best of our knowledge, a study specifically comparing the impact of aspirin with that of LMWP in Cushing’s syndrome has not been performed; as a result, our study adds to the paucity of literature pertaining to this topic. Notable strengths in the study include a large sample size (allowing robust comparisons amongst treatment arms), incorporation of propensity-score matching (allowing for internal validity through balancing baseline comparison groups), and comprehensive measurable outcomes.

Limitations to our study are multifold, and include retrospective design, for which intrinsic biases are inherent and can affect causal inference (despite matching techniques). Furthermore, data collection (via TriNetX) relied on correct ICD-10 coding, which could be a source of potential error if conditions and medications are coded improperly, or if our queries missed ICD-10 codes that could also correspond with outcomes. Similarly, TriNetX also relies on queries of healthcare organizations, many of which may not have responded with data, which could inaccurately skew the results. Although TriNetX uses global data, the majority of patient data was derived from the United States population, which could result in less generalizable data to the global public. These findings should be interpreted within the correct context and with caution to prevent misrepresentation. Compliance was a variable that could not be controlled for. Moreover, those who had taken the medication before the index event were excluded from analysis. While aspirin 81 mg demonstrated a reduction in LE DVT and mortality in Cushing’s disease along with PE with Cushing’s syndrome, we only performed a subgroup analysis concerning pituitary-related causes of Cushing’s syndrome (Cushing’s disease); it remains unclear why the risk of PE was not reduced in the latter subgroup. Due to limitations in ICD-10 coding, further subgroup analyses were not performed (such as adrenal adenoma, adrenal adenocarcinoma, or ectopic ACTH syndrome), for which the implications of treating with aspirin 81 mg cannot be inferred from our data. Similarly, further subgroup analyses, such as gender and race, were not performed. Our study assessed adult patients with Cushing’s syndrome, and not pediatric patients, which limits the applicability of our findings to such a cohort. Further studies are required to confirm and replicate our findings in a prospective fashion, stratifying subtypes of Cushing’s Syndrome.

Conclusions

Cushing’s syndrome is associated with a heightened risk for venous thromboembolism, regardless of the underlying etiology. Currently, LMWHs such as enoxaparin remain the gold standard for both thromboprophylaxis and treatment in such patients. There is limited data to support superiority over alternative agents. Our study analyzed enoxaparin against warfarin, unfractionated heparin, and apixaban, for which there was no significant risk difference. When compared to aspirin, enoxaparin demonstrated a greater risk for the development of PE, LE DVT, and all-cause mortality. Further prospective trials are required to replicate our findings and confirm the superiority of aspirin over LMWH.

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From https://www.cureus.com/articles/371036-therapeutic-options-for-the-prevention-of-thromboses-in-cushings-syndrome-a-propensity-matched-retrospective-cohort-analysis?score_article=true#!/

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