FDA Declines to Approve Relacorilant for Hypertension Linked to Hypercortisolism

Posted on January 6, 2026 by MaryO

Key takeaways:

  • The FDA issued a complete response letter for relacorilant to treat hypertension tied to hypercortisolism.
  • The investigational drug induced BP reductions for adults with hypertension in the phase 3 GRACE trial.

The FDA has issued a complete response letter for an oral selective glucocorticoid receptor antagonist under investigation for the treatment of hypertension secondary to hypercortisolism, according to an industry press release.

Corcept Therapeutics announced the FDA issued a complete response letter for relacorilant (Corcept Therapeutics). The drug is under investigation for the treatment of endogenous hypercortisolism, ovarian cancer and other disorders, according to the company.

As Healio previously reported, the phase 3 GRACE trial enrolled 152 adults with Cushing’s syndrome plus hypertension, hyperglycemia or both conditions. Participants received relacorilant for 22 weeks during an open-label phase. At 22 weeks, adults who met criteria for hypertension or hyperglycemia control entered a withdrawal phase where they were randomly assigned, 1:1, to continue relacorilant or switch to placebo for 12 weeks.

In the GRACE trial, adults with hypertension had a 7.9 mm Hg decrease in systolic blood pressure and a 5.1 mm Hg decline in diastolic BP at 22 weeks. During the randomized withdrawal phase, adults who remained on relacorilant had no change in systolic and diastolic BP, whereas those receiving placebo had a BP increase from the start of the phase to week 12.

In a press release from Corcept Therapeutics from 2024, the company announced results from the phase 3 GRADIENT trial, a randomized, double-blind, placebo-controlled trial where adults with Cushing’s syndrome caused by an adrenal adenoma or adrenal hyperplasia were randomly assigned, 1:1, to relacorilant or placebo for 22 weeks. According to the press release, the relacorilant group had a 6.6 mm Hg decline in mean systolic BP compared with baseline at 22 weeks. However, there was no significant difference in mean systolic BP change between the relacorilant and placebo groups.

As Healio previously reported, relacorilant was also assessed in a long-term extension study that enrolled adults who completed the GRACE and GRADIENT trials as well as a phase 2 hypercortisolism study. In that trial, relacorilant conferred a 10 mm Hg drop in 24-hour ambulatory systolic BP and a 7.3 mm Hg reduction in 24-hour ambulatory diastolic BP at 24 months.

In the company’s press release announcing receipt of the complete response letter, Corcept Therapeutics said the FDA acknowledged that the GRACE trial met its primary endpoint and that the GRADIENT trial provided “confirmatory evidence.” However, the FDA said it did not view relacorilant offered “a favorable benefit-risk assessment” without more data of its effectiveness, according to the press release.

“We are surprised and disappointed by this outcome,” Joseph K. Belanoff, MD, CEO of Corcept Therapeutics, said in a press release. “Our commitment to patients suffering from the effects of hypercortisolism is unwavering. I am confident we will find a way to get relacorilant to the patients it could help. We will meet with the FDA as soon as possible to discuss the best path forward.”

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A Second Look at Refractory Edema: Delayed Diagnosis of Paraneoplastic Cushing’s Syndrome in Small Cell Lung Cancer

Posted on January 4, 2026 by MaryO

Abstract

Paraneoplastic Cushing syndrome (PCS) is a rare manifestation of ectopic adrenocorticotropic hormone (ACTH) production, mostly associated with bronchial carcinoid and small cell lung cancer (SCLC). Its clinical manifestations: refractory hypertension, profound hypokalemia, metabolic alkalosis, worsening hyperglycemia, and edema, can easily be misattributed to more common conditions, especially in older adults with multiple comorbidities, leading to diagnostic errors.

We present a case of an 84-year-old man with a history of stage IA non-SCLC treated one year earlier, who developed progressive dyspnea, orthopnea, bilateral extremity edema, severe hypokalemia, metabolic alkalosis, and new-onset hypertension. His symptoms were initially managed as volume overload and diuretic-resistant heart failure in the outpatient setting. During hospitalization, persistent metabolic alkalosis, worsening hyperglycemia, resistant hypertension, and refractory hypokalemia prompted further evaluation. Laboratory studies demonstrated markedly elevated early morning cortisol (102.7 µg/dL) and ACTH (293 pg/mL). Computed tomography (CT) imaging revealed a new right infrahilar mass, extensive mediastinal adenopathy, and bilateral adrenal metastases. Endobronchial ultrasound-guided biopsy confirmed SCLC. The patient was diagnosed with paraneoplastic ACTH-dependent CS and initiated on systemic chemotherapy.

This case highlights several diagnostic vulnerabilities, including anchoring bias, confirmation bias, premature closure, and failure to integrate multiple abnormal findings into a unifying diagnosis. Earlier recognition of the characteristic cluster of hypercortisolism signs-refractory hypokalemia, metabolic alkalosis, resistant hypertension, and hyperglycemia- may have accelerated diagnosis and treatment. Clinicians should maintain a high index of suspicion for PCS in older adults with a history of lung cancer who present with unexplained electrolyte disturbances and rapidly worsening cardiometabolic parameters. Early diagnosis is critical given the high morbidity and mortality associated with untreated paraneoplastic Cushing’s syndrome.

Introduction

Paraneoplastic ACTH-dependent Cushing syndrome (CS) is an uncommon but severe manifestation of ectopic adrenocorticotropic hormone production. Ectopic ACTH syndrome accounts for approximately 6-10% of all cases of endogenous CS [1]. This represents 10-20% of ACTH-dependent forms of Cushing syndrome, which themselves comprise 70-80% of all endogenous CS cases. Lung neuroendocrine tumors account for approximately 25% of cases, followed by small cell lung cancers (SCLC) (20%), with other sources being neuroendocrine tumors of the thymus, pancreas, and medullary thyroid carcinoma [2,3]. Patients typically present with symptoms related to underlying malignancy and rapid onset of severe hypercortisolism characterized by profound hypokalemia, metabolic alkalosis, hyperglycemia, and muscle weakness, often without the classic cushingoid features seen in other forms of CS [4,5].

These abnormalities are often initially attributed to more common conditions, including heart failure, diuretic use, thyroid disease, and worsening chronic diseases such as diabetes mellitus, especially in older adults with multimorbidity. This often leads to diagnostic errors. Diagnostic delays in paraneoplastic Cushing syndrome (PCS) are common and clinically meaningful. Hypercortisolism accelerates tumor progression, increases vulnerability to infection, worsens cardiometabolic dysfunction, and contributes to poor performance status, substantially limiting therapeutic options [6-8]. Prompt recognition requires clinicians to identify the hallmark constellation of metabolic disturbances and consider endocrine etiologies early.

We describe an older adult who presented with cough, dyspnea, edema, severe resistant hypertension, metabolic alkalosis, and electrolyte derangements that were initially attributed to volume overload and chronic lung disease. The diagnostic process ultimately led to the identification of extensive-stage SCLC, which caused ectopic ACTH production. We emphasize the diagnostic errors that contributed to the delayed recognition of this life-threatening syndrome.

Case Presentation

An 84-year-old man with a history of pre-diabetes, chronic obstructive pulmonary disease (COPD), a former smoker, and previously treated stage IA non-SCLC (left lower lobe, treated with Stereotactic Body Radiation Therapy) presented with cough, progressive shortness of breath, orthopnea, and bilateral lower extremity edema. Two weeks prior, outpatient clinicians treated his worsening edema and dyspnea with loop diuretics, and he was also started on nifedipine and losartan for hypertension.

In the emergency department, vital signs revealed blood pressure 216/98 mmHg, heart rate 104 beats/min, and respiratory rate 23 breaths/min. Physical examination demonstrated bilateral pedal edema extending to the mid-shins and bilateral upper extremity edema. Lung examination revealed no wheezing or crackles. The abdomen was obese but without palpable masses.

Initial laboratory evaluation showed mild thrombocytopenia (114 × 103/µL), creatinine 1.10 mg/dL, potassium 2.9 mmol/L, bicarbonate 43 mmol/L, chloride 88 mmol/L, glucose 240 mg/dL, unremarkable liver function test, and elevated B-type natriuretic peptide (BNP) of 198 pg/mL. Arterial blood gas demonstrated pH 7.58 and PaCO₂ 42 mmHg, indicating primary metabolic alkalosis. Urinalysis was significant for glucosuria, otherwise unremarkable. Chest X-ray showed bibasilar atelectasis without evidence of pulmonary edema. He was admitted for decompensated heart failure. Pertinent admission laboratory findings are summarized in Table 1.

Test Result Range
Hemoglobin 16.4 g/dL 13.8-17.2 g/dL
White cell count 9.7 × 103/µL 4.0-10.50 × 103/µL
Platelet 114 × 103/µL 130-400 × 103/µL
Sodium 142 mmol/L 133-145 mmol/L
Potassium 2.9 mmol/L 3.3-5.1 mmol/L
Chloride 88 mmol/L 98-108 mmol/L
Bicarbonate 43 mmol/L 22-32 mmol/L
Creatinine 1.10 mg/dL 0.50-1.20 mg/dL
BNP 198.8 pg/mL 10.0-100.0 pg/mL
Albumin 3.7 g/dL 3.0-5.0 g/dL
Glucose 240 mg/dL 70-100 mg/dL
Serum cortisol 102.7 µg/dL 6.7-22.6 µg/dL
Plasma ACTH 293 pg/mL 6-50 pg/mL
Urine chloride 73 mmol/L
Urine potassium 38 mmol/L
Table 1: Summary of relevant laboratory findings at presentation

Metabolic alkalosis, renal potassium wasting, hyperglycemia, elevated cortisol, and ACTH suggested an ACTH-dependent Cushing’s syndrome.

BNPL: brain natriuretic peptide; ACTH: adrenocorticotropic hormone

Despite diuresis with IV furosemide, he continued to demonstrate metabolic alkalosis and worsening hypokalemia (nadir 2.8 mmol/L), requiring repeated potassium supplementation. Hyperglycemia persisted with capillary blood glucose 170-300 mg/dL, requiring escalating insulin doses. Blood pressures remained elevated despite escalation of losartan and nifedipine. Echocardiogram on day 2 of admission was unremarkable with an ejection fraction of 55-60% and normal diastolic function. Doppler ultrasound of the lower and upper extremities did not reveal deep vein thrombosis.

On hospital day 3, diagnosis was reassessed, and differentials were broadened to include endocrine causes of hypertension with metabolic alkalosis. Urine electrolytes revealed high urine chloride (73 mmol/L) and potassium (38 mmol/L), suggestive of potassium wasting from possible mineralocorticoid excess. Subsequent testing revealed markedly elevated serum cortisol (102.7 µg/dL) and plasma ACTH (293 pg/mL), suggesting an ACTH-dependent process. Given his significant history of smoking and treated NSCLC, a CT chest/abdomen/pelvis was done, which showed a new right infrahilar mass, mediastinal lymphadenopathy, and nodular fullness of both adrenal glands concerning for metastatic disease (Figures 1–6).

Axial-CT-chest-showing-an-enlarged-right-paratracheal-lymph-node.
Figure 1: Axial CT chest showing an enlarged right paratracheal lymph node.

Axial image demonstrates a right paratracheal lymph node measuring 14.8 mm in short axis, concerning for malignant nodal involvement.

Non-contrast-axial-CT-chest-showing-a-dominant-right-paratracheal-lymph-node
Figure 2: Non-contrast axial CT chest showing a dominant right paratracheal lymph node

A right paratracheal lymph node measuring 16.2 × 16.5 mm is demonstrated, further supporting malignant mediastinal involvement in small cell lung cancer.

Axial-non-contrast-CT-chest-demonstrating-residual-treated-left-lower-lobe-lesion
Figure 3: Axial non-contrast CT chest demonstrating residual treated left lower lobe lesion

A spiculated nodule in the left lower lobe measuring 9.2 mm (AP) × 8.5 mm (transverse) on image 60, slightly decreased from the prior measurement of 9.3 × 10.6 mm, corresponding to the site of previously treated squamous cell carcinoma.

Axial-non-contrast-CT-chest-showing-markedly-enlarged-subcarinal-lymph-node
Figure 4: Axial non-contrast CT chest showing markedly enlarged subcarinal lymph node

A dominant subcarinal lymph node measuring 24 × 34 mm, highly suspicious for malignant mediastinal involvement.

Axial-non-contrast-CT-chest-showing-right-infrahilar-mass-like-fullness
Figure 5: Axial non-contrast CT chest showing right infrahilar mass-like fullness

Soft tissue density in the right lower lobe infrahilar region measuring up to 25 mm in transverse diameter, concerning for primary malignant involvement.

Non-contrast-CT-demonstrating-bilateral-adrenal-metastases
Figure 6: Non-contrast CT demonstrating bilateral adrenal metastases

Nodular enlargement of both adrenal glands has progressed compared with prior imaging: the left adrenal lateral limb measures 14 mm (previously 9.2 mm) and the right adrenal body measures 12.4 mm (previously 7 mm). Multiple benign hepatic cysts are also visualized (red arrows).

Bronchoscopy with endobronchial ultrasound-guided transbronchial needle aspiration of the subcarinal (station 7) and right hilar (station 10R) lymph nodes revealed small cell carcinoma. He was diagnosed with extensive-stage SCLC with adrenal metastases and paraneoplastic ACTH-dependent Cushing syndrome. Systemic chemotherapy with carboplatin, etoposide, and atezolizumab was initiated.

Discussion

PCS caused by ectopic ACTH secretion is associated with significantly higher morbidity and mortality than other forms of hypercortisolism. Patients experience universal acute complications and have markedly shortened survival, with median survival reported as low as 3-4 months in those with SCLC [7-9]. Early mortality is common, with most deaths occurring within weeks to months of diagnosis and frequently driven by opportunistic infections, thromboembolic events, and severe metabolic derangements [6,7]. Hypercortisolism itself impairs the ability to deliver effective cancer therapy, increasing the risk of treatment-related complications and reducing chemotherapy response rates [6]. Ectopic ACTH production is therefore considered the most lethal etiology of Cushing syndrome, with tumor progression and infection being the predominant causes of death.

Diagnostic error is the failure to establish an accurate and timely explanation of the patient’s health problem(s) or communicate that explanation to the patient [10]. Diagnostic errors remain a significant contributor to patient harm, with estimates suggesting they affect 5-25% of patients [11,12]. These errors often arise not from knowledge deficits but from cognitive heuristics that clinicians rely on to navigate diagnostic uncertainty. While heuristics are essential for efficiency, they can predispose clinicians to systematic errors, especially when used uncritically or in complex cases [13,14]. Three cognitive pitfalls are particularly relevant in diagnostic error: anchoring bias (fixating early on a diagnosis and failing to adjust as new data emerge), premature closure (ceasing further diagnostic inquiry once an initial label is applied), and diagnostic momentum (the inertia created as more clinicians accept and act upon an early diagnostic impression) [15,16]. These processes can perpetuate incorrect diagnoses and delay definitive care.

For our patient, the initial clinical presentation of dyspnea, orthopnea, bilateral edema, and markedly elevated blood pressure in this older adult reasonably prompted consideration of several common cardiopulmonary and renal conditions. Acute decompensated heart failure was an early working diagnosis given his orthopnea, lower extremity edema, and elevated BNP. However, this diagnosis became less convincing as objective data accumulated. The patient had no pulmonary edema on chest imaging and preserved left ventricular systolic and diastolic function on echocardiography. Additionally, the severity of metabolic alkalosis and hypokalemia was disproportionate to the degree of diuretic exposure and volume status. These discrepancies argued against heart failure as a unifying diagnosis.

A COPD exacerbation was also considered due to the patient’s chronic lung disease and dyspnea. Yet he had no wheezing, no infectious symptoms, and no significant gas-exchange abnormality. His arterial blood gas (ABG) demonstrated metabolic alkalosis without primary respiratory acidosis. Moreover, his dyspnea improved early in the hospitalization, while the metabolic disturbances worsened, further making COPD a less likely diagnostic consideration. Renal causes of edema and hypertension, including nephrotic syndrome and intrinsic kidney disease, were evaluated. The patient had normal albumin and creatinine, and no significant proteinuria or hematuria on urinalysis, findings that could not explain his systemic edema. Similarly, acute or chronic kidney disease could not account for the combination of profound hypokalemia, metabolic alkalosis, and high urine chloride, which instead suggested an active mineralocorticoid process with renal wasting.

Primary hyperaldosteronism was a strong possibility, particularly given the combination of hypertension, hypokalemia, and metabolic alkalosis. However, the patient’s severe hyperglycemia, thrombocytopenia, new constitutional swelling of the upper extremities, and rapid symptom evolution were atypical for isolated hyperaldosteronism. Additionally, bilateral adrenal fullness seen on CT imaging was more consistent with adrenal metastases than with aldosterone-producing adenomas or hyperplasia. The degree of metabolic derangements also exceeded that typically observed in primary hyperaldosteronism, prompting evaluation for cortisol excess.

CS emerged as a unifying explanation for the multisystem abnormalities. The biochemical pattern, including severe metabolic alkalosis, renal potassium wasting, hyperglycemia, and resistant hypertension, is characteristic of activation of glucocorticoid and mineralocorticoid receptors. Markedly elevated cortisol and ACTH levels confirmed ACTH-dependent hypercortisolism. In older adults, pituitary Cushing disease typically evolves more slowly and is rarely associated with such profound hypokalemia [17,18]. Therefore, ectopic ACTH secretion became the leading diagnosis. The patient’s imaging, showing a new right infrahilar mass, progressive mediastinal lymphadenopathy, and bilateral adrenal enlargement, provided a clear source, later confirmed as extensive-stage SCLC.

This diagnostic trajectory illustrates how complex presentations can lead clinicians toward more common conditions, even when early clues point elsewhere. Several cognitive and system-level factors contributed to the delayed recognition of hypercortisolism. Anchoring on heart failure, a condition that fit parts of the patient’s presentation, discouraged re-examination of the initial differential when laboratory data did not fully align. Metabolic abnormalities were at first treated as isolated issues rather than components of a broader endocrine disorder. The patient’s prior non-SCLC had been in remission, which may have reduced the perceived likelihood of malignancy-related pathology, despite the well-known risk of second primary lung cancers and transformation events in older adults with smoking histories. Older adults with a history of smoking who have survived cancer face a substantially elevated risk of developing second primary lung cancers, with the risk persisting for decades after smoking cessation. Among lung cancer survivors, the 10-year cumulative incidence of a second primary lung cancer is approximately 8-15%, which is considerably higher than rates observed in general lung cancer screening populations [19,20].

The availability of more familiar explanations for dyspnea, edema, and hypertension, such as heart failure, may have overshadowed the classical biochemical signature of hypercortisolism. Recognition of ectopic ACTH production requires integrating disparate clinical findings into one physiological pathway. When evaluated collectively rather than individually, these abnormalities strongly suggest cortisol excess long before imaging or biopsy results are available.

Earlier consideration of endocrine etiologies could have expedited diagnosis, reduced unnecessary diuresis, and allowed earlier initiation of appropriate oncologic therapy. PCS from SCLC is associated with rapid clinical decline, impaired immunity, and decreased tolerance to chemotherapy. Prompt recognition may therefore improve both morbidity and the feasibility of cancer-directed treatment. This case reinforces the importance of revisiting and broadening the differential diagnoses when expected clinical improvement does not occur, particularly in older adults with prior malignancy and new multisystem derangements. Incorporating metacognitive strategies, actively questioning initial assumptions, seeking disconfirming evidence, and engaging in reflective practice can mitigate such errors [13].

Conclusions

This case emphasizes the importance of considering paraneoplastic ACTH-dependent CS in older adults presenting with unexplained hypokalemia, metabolic alkalosis, hyperglycemia, and resistant hypertension, particularly in patients with a history of lung cancer. Diagnostic error arose from anchoring on cardiopulmonary etiologies and failure to synthesize metabolic abnormalities into a unifying diagnosis. Early recognition of hypercortisolism is essential, as untreated ectopic ACTH production rapidly worsens morbidity and limits therapeutic efficacy in SCLC.

References

  1. Reincke M, Fleseriu M: Cushing syndrome: A review. JAMA. 2023, 330:170-81.
  2. Gadelha M, Gatto F, Wildemberg LE, Fleseriu M: Cushing’s syndrome. Lancet. 2023, 402:2237-52. 10.1016/S0140-6736(23)01961-X
  3. Pelosof LC, Gerber DE: Paraneoplastic syndromes: An approach to diagnosis and treatment. Mayo Clin Proc. 2010, 85:838-54. 10.4065/mcp.2010.0099
  4. Haugen BR, Alexander EK, Bible KC, et al.: 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer. Thyroid. 2016, 26:2016. 10.1089/thy.2015.0020
  5. NCCN Guidelines Version 2.2026 Small – Google Scholar [Internet]. (2025). Accessed: October 7, 2025: https://scholar.google.com/scholar.
  6. Ost DE, Jim Yeung SC, Tanoue LT, Gould MK: Clinical and organizational factors in the initial evaluation of patients with lung cancer: Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest. 2013, 143:e121S-41S. 10.1378/chest.12-2352
  7. Schernthaner-Reiter MH, Siess C, Micko A, et al.: Acute and life-threatening complications in Cushing syndrome: Prevalence, predictors, and mortality. J Clin Endocrinol Metab. 2021, 106:e2035-46. 10.1210/clinem/dgab058
  8. Shepherd FA, Laskey J, Evans WK, Goss PE, Johansen E, Khamsi F: Cushing’s syndrome associated with ectopic corticotropin production and small-cell lung cancer. J Clin Oncol. 1992, 10:21-7. 10.1200/JCO.1992.10.1.21
  9. Al-Toubah T, Pelle E, Hallanger-Johnson J, Haider M, Strosberg J: ACTH-secreting pancreatic neuroendocrine neoplasms: A case-series. J Neuroendocrinol. 2023, 35:e13336. 10.1111/jne.13336
  10. Measure Dx: A Resource To Identify, Analyze, and Learn From Diagnostic Safety Events. (2022). Accessed: October 7, 2025: https://www.ahrq.gov/diagnostic-safety/tools/measure-dx.html.
  11. Singh H, Meyer AN, Thomas EJ: The frequency of diagnostic errors in outpatient care: Estimations from three large observational studies involving US adult populations. BMJ Qual Saf. 2014, 23:727-31. 10.1136/bmjqs-2013-002627
  12. Auerbach AD, Lee TM, Hubbard CC, et al.: Diagnostic errors in hospitalized adults who died or were transferred to intensive care. JAMA Intern Med. 2024, 184:164-73.
  13. Croskerry P: The importance of cognitive errors in diagnosis and strategies to minimize them. Acad Med. 2003, 78:775-80. 10.1097/00001888-200308000-00003
  14. Gigerenzer G, Gaissmaier W: Heuristic decision making. Annu Rev Psychol. 2011, 62:451-82. 10.1146/annurev-psych-120709-145346
  15. Watari T, Tokuda Y, Amano Y, Onigata K, Kanda H: Cognitive bias and diagnostic errors among physicians in Japan: A self-reflection survey. Int J Environ Res Public Health. 2022, 19:4645. 10.3390/ijerph19084645
  16. Ogdie AR, Reilly JB, Pang WG, Keddem S, Barg FK, Von Feldt JM, Myers JS: Seen through their eyes: Residents’ reflections on the cognitive and contextual components of diagnostic errors in medicine. Acad Med. 2012, 87:1361-7. 10.1097/ACM.0b013e31826742c9
  17. Paleń-Tytko JE, Przybylik-Mazurek EM, Rzepka EJ, Pach DM, Sowa-Staszczak AS, Gilis-Januszewska A, Hubalewska-Dydejczyk AB: Ectopic ACTH syndrome of different origin-Diagnostic approach and clinical outcome. Experience of one Clinical Centre. PLoS One. 2020, 15:e0242679. 10.1371/journal.pone.0242679
  18. Melmed S: Pituitary-tumor endocrinopathies. N Engl J Med. 2020, 382:937-50. 10.1056/NEJMra1810772
  19. Adams SJ, Stone E, Baldwin DR, Vliegenthart R, Lee P, Fintelmann FJ: Lung cancer screening. Lancet. 2023, 401:390-408. 10.1016/S0140-6736(22)01694-4
  20. Takemura C, Yoshida T, Yoshida Y, et al.: Unveiling the molecular and clinical risk landscape of second primary lung cancer in resected non-small cell lung cancer. Lung Cancer. 2025, 208:108750. 10.1016/j.lungcan.2025.108750

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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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Prospective Assessment of Mood and Quality of Life in Cushing Syndrome Before and After Biochemical Control

Posted on November 27, 2025 by MaryO

Abstract

Context

Cushing’s syndrome (CS) impairs quality of life (QoL) and mood. Prospective real-life data on posttreatment recovery and predictors of improvement are limited.

Objectives

Evaluate changes in QoL, depression, and anxiety in patients with CS, before and after biochemical control, and identify predictors of clinically meaningful improvement.

Design and Setting

Prospective observational study at a tertiary center.

Patients

Sixty-seven patients with endogenous CS (60 pituitary, 7 adrenal) were assessed with active disease and again after achieving biochemical control through surgery and/or medication.

Outcomes

Patient-reported outcomes included CushingQoL, Beck Depression Inventory-II (BDI-II), and State-Trait Anxiety Inventory (STAI).

Results

Mean and longest follow-up was 2.3 and 11.5 years, respectively. Treatment led to improvements in mean scores across all domains (QoL: +18.2 ± 20.9, BDI-II: −6.8 ± 8.6, STAI-State: −9.6 ± 12.5, STAI-Trait: −8.6 ± 12.6; all P < .001). However, a minimal important difference was achieved in 64.6% for QoL, 67.9% for BDI-II, and 53.2% and 52.8% for STAI subscales. After multivariable analysis, QoL improvements were predicted by lower baseline body mass index, pretreatment symptoms ❤ years, postoperative hydrocortisone replacement >6 months, and normal follow-up late-night salivary cortisol (LNSC). Depression improvements were predicted by symptoms ❤ years, normal follow-up LNSC, and surgical treatment. Anxiety improvements were predicted by younger age and >6 months postoperative hydrocortisone. Depression improved more gradually than QoL and anxiety.

Conclusion

Although effective treatment improves mood and QoL in CS, clinically meaningful recovery is variable and incomplete for some patients. Our findings highlight the need to limit diagnostic delay and provide comprehensive posttreatment care that includes normalization of cortisol circadian rhythm.

Endogenous Cushing’s syndrome (CS) is a rare disorder characterized by chronic cortisol excess, most commonly due to an ACTH-secreting pituitary tumor [Cushing disease (CD)], followed by a cortisol-secreting adrenal adenoma and ectopic ACTH production due to a nonpituitary tumor (1). CS is associated with multiple comorbidities including diabetes, obesity, hypertension, immune suppression, osteoporosis, and cardiovascular disease, among others (2). Apart from these, patients face a spectrum of neuropsychiatric disturbances including depression, anxiety, mania, sleep disorders, and even psychosis. These comorbidities significantly disturb quality of life (QoL) and may persist long after treatment (3-7).

As with many rare diseases, CS remains incompletely understood, and patients experience impaired disease perception, information gaps, and isolation. In this context, patient-reported outcomes (PROs) have become useful instruments to clarify these gaps and guide patient-centered care. Disease-specific tools (CushingQoL, Tuebingen CD-25) and generic mood scales (Beck Depression Inventory, State-Trait Anxiety Inventory [STAI; including State (STAI-S) and Trait (STAI-T), Hospital Anxiety and Depression Scale] have established impairments in QoL and mood both during active disease and in remission (4, 8-11).

Although improvements are noted with treatment, recovery does not seem to be complete. Studies have reported persistently reduced QoL compared to the general population and the presence of depressive symptoms even 12 months postoperatively (4, 9). Findings regarding anxiety are less consistent: while some studies did not support the increased prevalence of anxiety in patients with active CS compared to the general population (12), others reported higher anxiety traits among patients with CS (during active disease and in remission) (13, 14) with steady improvement at 6- and 12-month follow-up (15). Clinical trials with adrenal steroidogenesis inhibitors or pasireotide demonstrated that effective biochemical control can improve QoL and depression (16-18). However, it is unclear whether these improvements are clinically significant and if patients achieve normal QoL and depression scores.

The role of PROs in assessing recovery during the treatment journey of patients with CS has not been clearly established, and QoL and mood trajectories remain unclear, largely due to small samples, limited follow-up, and cross-sectional designs. Among available prospective studies using PROs in CS, only 3 (2 evaluating pasireotide and 1 osilodrostat) reported the proportion of patients who met the minimal important difference (MID), which is the score change reflecting a clinically meaningful improvement (17-19), while others have only reported statistically significant changes in mean score, an important but possibly less clinically relevant outcome (20-22). Real-world clinical management adds further complexity: postoperative glucocorticoid replacement, potential glucocorticoid-withdrawal symptoms, and 20% to 30% recurrence rates after initial surgical “cure” all suggest that, for many patients, recovery may follow a nonlinear course. To date, no clinical practice prospective study has systematically assessed QoL and mood across multiple timepoints, compared surgical and medical strategies within a single cohort, and limited inclusion to patients who achieved biochemical remission or control for at least 6 months. Therefore, the aims of this study were to evaluate changes in QoL, depression, and anxiety in a clinical practice cohort of patients with CS before and over time after biochemical control, report achievement rates of MID, and identify predictors of clinically meaningful improvement.

Methods

Study Design

This study includes prospective data from patients enrolled in an ongoing observational cohort study, which since 2017 enrolls patients with endogenous CS at Memorial Sloan Kettering Cancer Center (MSKCC) [prior to 2017, enrollment took place at Mount Sinai (2012-2017)]. In this protocol, CS patients being treated at the MSKCC Pituitary and Skull Base Tumor Center are enrolled at any point in their treatment journey and prospectively followed over time after surgical, medical, and/or radiation treatment. At each study visit, a detailed medical history and biochemical and clinical data are collected according to standard of care. Patients also complete validated psychological and QoL assessments.

The current analysis includes a cohort of 67 patients with CS: 60 with pituitary and 7 with adrenal CS. Each patient completed a baseline (active disease) visit and at least 1 follow-up visit after achieving surgical remission or endocrine control due to medical therapy.

From the total of 67 patients, we analyzed 73 distinct baseline-to-follow-up case pairs. Six patients experienced recurrence after surgery or were inadequately controlled while on medical therapy after their initial follow-up visit and underwent a subsequent change in treatment strategy. These instances were treated as separate case pairs when needed, enabling comparison of different treatment approaches. When analyzing for a single follow-up, visits were grouped by time: group 1 (G1): 6 months, group 2 (G2): 12-18 months, and group 3 (G3): 24 or more months posttreatment. Each patient contributed to 1 or multiple groups based on the number of their study visits. For patients with multiple visits receiving different treatments throughout the current study, each follow-up visit was categorized based on time since the most recent intervention to ensure that we assessed outcomes according to the duration of biochemical control. For patients who underwent surgery, the follow-up interval was calculated from the date of surgery; for those on medical therapy, it was calculated from the start of medication. In the subanalysis comparing treatment- or demographic-related score changes, the most recent available follow-up was used in each case. At each visit patients completed at least 1 of the following: Cushing QoL, Beck Depression Inventory-II (BDI-II), or STAI-S and STAI-T.

For multiple follow-up visits during remission or treatment, 28 patients were evaluated. For this subgroup, we examined their whole trajectory over time. We then stratified this subgroup by total follow-up duration (<2 years vs ≥2 years) and assessed for significant differences between these 2 categories where applicable.

For the baseline visit, ACTH-dependent pituitary and ACTH-independent adrenal Cushing’s was confirmed according to Endocrine Society guidelines (23). Surgical remission was defined as postoperative serum cortisol <5 μg/dL (<138 nmol/L) and requirement of glucocorticoid replacement, according to the Endocrine Society’s guidelines and the Pituitary Society’s recent consensus statement (24, 25). For patients managed medically, endocrine control was defined as normalization of 24-hour urinary free cortisol (UFC) and based on clinical review and assessment by E.B.G.

The study was approved by the institutional review board at MSKCC. All subjects gave written informed consent before participation.

Outcome Measurements

Cushing QoL

The Cushing QoL is a validated disease-specific questionnaire consisting of 12 questions on a 5-point scale ranging from “always” to “never” (for 10 questions) or “very much” to “not at all” (for 2 questions). Total score ranges from 12 to 60. This is converted to a 0 to 100 scale, with 0 indicating the worst and 100 the best QoL. It evaluates physical and psychological issues and can also be scored through these 2 distinct subscales. MID is defined as an increase of ≥10.1 (26).

BDI-II

The BDI-II is a validated 21-item patient-reported questionnaire. Patients self-rate each item on a scale from 0 to 3 based on how they were feeling during the past 2 weeks. Total score ranges from 0 (best) to 63 (worst); scores from 0 to 13 indicate no or minimal depression; 14 to 19, mild depression; 20 to 28, moderate depression; and 29 to 63, severe depression. MID is defined as a 20% reduction from baseline score (27, 28).

STAI

The STAI is an instrument with 2 subscales: State anxiety (STAI-S), which reflects the present moment, and Trait anxiety (STAI-T), which assesses a stable tendency toward anxiety. Both subscales consist of 20 items scored from 0 to 3. Total scores range from 0 to 60, with higher scores indicating greater anxiety. Prior studies suggest a change of 0.5× SDs—or approximately 5 to 10 points—as a reasonable threshold for MID. In our study, we defined the MID at 7 points, based on observed SD of change at 12.5 for STAI-S and 12.6 for STAI-T (29).

In this study, all score changes from baseline to follow-up were reported as positive values to uniformly represent improvement across measures. For BDI-II and STAI where higher scores indicate worse outcomes, the direction of change was inverted for consistency.

Hormone Assays

Hormone testing was performed at either the MSKCC clinical laboratory or external laboratories (Quest Diagnostics, Labcorp, Mayo Clinic Laboratories). Plasma ACTH was measured using Tosoh immunoassay [RRID:AB_2783633; normal range (NR): 7.4-64.3 pg/mL (1.6-14.2 pmol/L); MSKCC or 6 to 50 pg/mL (1.3-11.0 pmol/L); QuestDiagnostics] or electrochemiluminescence immunoassay [RRID:AB_3678556; NR: 7.2-63.3 pg/mL (1.6-13.9 pmol/L); LabCorp, Mayo Clinic Laboratories]. Serum cortisol was measured via either immunoassay [RRID:AB_2802133; NR: 4-22 µg/dL (110-607 nmol/L); QuestDiagnostics or 7-25 µg/dL (193-690 nmol/L); Mayo Clinic Laboratories], electrochemiluminescence immunoassay [RRID:AB_2802131; NR: 6.2-19.4 µg/dL; (171-535 nmol/L); LabCorp], or liquid chromatography–tandem mass spectrometry [LC-MS/MS; NR: 5-25 µg/dL (138-690 nmol/L)]. UFC was measured using LC-MS/MS [NR: 3.5-45 µg/24 hours (9.7-124 nmol/24 hours); MSKCC, Mayo Clinic Laboratories or 3.0 to 50 µg/24 hours (8.3-138 nmol/24 hours); Quest Diagnostics, LabCorp]. Late-night salivary cortisol (LNSC) was assessed via LC-MS/MS [NR: ≤ 0.09 µg/dL (2.5 nmol/L); QuestDiagnostics, LabCorp or <100 ng/dL (27.6 nmol/L); MSKCC, Mayo Clinic Laboratories]. LNSC values were analyzed categorically (normal vs abnormal), and patients were asked to provide 2 LNSC samples on separate evenings. Abnormal LNSC was defined as at least 1 value above the upper limit of normal for the assigned laboratory.

Comorbidities

Diabetes mellitus (DM) was defined by any of the following: hemoglobin A1c (HbA1c) > 6.4%, fasting blood glucose (FBG) ≥ 126 mg/dL (7.0 mmol/L), or use of at least 1 antidiabetic medication. Pre-DM was defined as HbA1c between 5.7% and 6.4% or FBG between 100 and 125 mg/dL (5.6-6.9 mmol/L). Women taking metformin for polycystic ovary syndrome were classified as nondiabetic only if their HbA1c and FBG values both before metformin initiation and at the time of CS diagnosis remained within the normal range. Hypertension was defined as systolic blood pressure ≥ 130 mmHg, diastolic blood pressure ≥ 80 mmHg, or use of any antihypertensive medication.

Statistical Analysis

Analyses were conducted using IBM SPSS for Windows (version 29.0, IBM Corp.). Data normality was assessed by the Shapiro–Wilk test. Descriptive statistics were used for demographic and clinical characteristics. Normally distributed data were compared by Student’s t-test and nonnormally distributed variables with the Mann–Whitney U-test. Paired T-tests were conducted to study mean changes from baseline to a single follow-up visit. For categorical characteristics and the MID, we calculated the achievement rates and used Pearson’s chi-square for comparisons where applicable. For patients with more than 2 follow-up visits ANOVA (repeated measures) was applied for the trajectory of each measurement over time. To identify predictors of improvement, univariable linear regression models for score change and logistic regression for MID achievement were performed using baseline visit and longest follow-up visit for each patient. Variables with P ≤ .10 or of clinical relevance were then entered into multivariable regression models—again, linear regression for score change and logistic regression for MID achievement—where each predictor was separately evaluated, adjusting for age, sex, and baseline score. Correlation analyses were performed using Pearson or Spearman correlation coefficients for data with normal or abnormal distribution, respectively. Correlation coefficients (r) were interpreted as follows: values between 0.0 and ±0.3: weak, between ±0.3 and ±0.7: moderate, and between ±0.7 and ±1.0: strong relationships. All statistical tests were 2-sided, and results were considered significant with P ≤ .05.

Results

Study Participants

From a cohort of 226 endogenous CS and silent ACTH tumor patients enrolled in our ongoing MSKCC prospective cohort study, we identified patients who had a baseline visit with active hypercortisolism, who had at least 1 follow-up visit while in surgical remission or medical control, and who had completed at least 1 of the evaluated questionnaires correctly. After excluding patients with silent ACTH tumors, those with missing data, and follow-up visits that did not meet remission criteria, we included 67 patients (56 females, 11 males) with a mean baseline age of 42.3 ± 13.1 years. Among these patients, 60 had CD and 7 had adrenal CS.

Further patient demographic information is shown in Tables 1 and 2.

 
Table 1.

Demographics and baseline characteristics

Demographic variable n = 67 patients
Age, years
 Mean (SD) 42.3 (13.1)
 Range 20-75
Sex, n (%)
 Female 56 (83.6)
CS subtype, n (%)
 CD 60 (89.6)
 Adrenal CS 7(10.4)
Race, n (%)
 White 50 (74.6)
 Black/African American 8 (11.9)
 Asian 2 (3.0)
 Other/unknown 7 (10.4)
24-hour UFC
 Mean (SD) 391.5 (1471) µg/24 hours,
1080 (4060) nmol/24 hours
 Median (IQR) 135.0 (82.7-220.0) µg/24 hours, 372 (228-607) nmol/24 hours
 Range (min-max) 29-12 346 µg/24 hours, 80-34 053 nmol/24 hours
LNSC, n (%)
 Normal 3 (4.5)
 Abnormal 59 (88.1)
 NA 5 (7.5)
Plasma ACTH
 Mean (SD) 70.7 (64.1) pg/mL, 15.6 (14.1) pmol/L
 Median (IQR) 56.0 (42.0-83.8) pg/mL, 12.3 (9.2-18.4) pmol/L
 Range (min-max) 11-416 pg/mL (2.4-91.5 pmol/L)
Prior recurrence at baseline, n (%) 16 (23.9)
Prior transsphenoidal surgery, n (%) 16 (23.9)
 1 9 (13.4)
 2 7(10.4)

Abbreviations: CD, Cushing disease; CS, Cushing’s syndrome; IQR, interquartile range; LNSC, late-night salivary cortisol; NA, not available; UFC, urinary free cortisol.

 
Table 2.

Baseline and follow-up data

Baseline Longest follow-up P-value
BMI (kg/m2)
 Mean (SD) 33.2 (7.6) 30.6 (8.5) <.001
 Median (IQR) 31.6 (26.8-37.3) 29.3 (25.3-34.8)
LNSC, n (%) <.001
 Normal 3 (4.5) 30 (44.7)
 Abnormal 59 (88.1) 16 (23.8)
 NA 5 (7.5) 21 (31.3)
DM, n (%) <.001
 DM 28 (41.8) 13 (19.4)
 Pre-DM 15 (22.4) 9 (13.4)
Hypertension, n (%) 55 (82.1) 35 (53.7) <.001
HbA1C (%) <.001
 Total mean (SD) 6.5 (1.8) 5.7 (0.9)
 DM/pre-DM mean (SD) 6.9 (1.8) 6.1 (1.0)
Antidiabetic medications, n (%) 20 (29.9) (22.4)
 1 12 (17.9) (13.4)
 2 1 (1.5) (3.0)
 3 3 (4.5) (1.5)
 Insulin 4 (6.0) 3 (4.5)
Antihypertensive medications, n (%) 34 (50.7) (37.3)
 1 15 (22.4) (19.4)
 2 10 (14.9) (11.9)
 ≥3 9 (13.4) 4 (6.0)
Other medications, n (%)
 Antidepressants 10 (14.9) 13 (19.4)
 Anxiolytics 12 (17.9) 12(17.9)
 Pain medications 16 (23.9) 23 (34.3)
 Sleep medications 16 (23.9) 21 (31.3)
Treatment at most recent follow-up,a n (%)
 Transsphenoidal surgery 44 (65.7)
 Medical therapy 18 (26.9)
 Bilateral adrenalectomy 3 (4.5)
 Radiation therapy 1 (1.5)
 Adrenalectomy (adrenal CS) 7 (10.4)

Abbreviations: BMI, body mass index; CS, Cushing’s syndrome; DM, diabetes mellitus; HbA1c, hemoglobin A1c; IQR, interquartile range; LNSC, late-night salivary cortisol.

a“n” refers to number of separate baseline-to-follow-up cases.

In total, there were 46 visits in G1, 31 in G2, and 24 in G3. At the most recent follow-up of each case, there were 24 visits in G1, 25 in G2, and 24 in G3.

The mean (range) duration from baseline to most recent follow-up was 28.3 (5-138) months in the overall cohort. The mean (range) follow-up duration since the most recent treatment was 6.3 (4-9) months for G1, 12.7 (10-18) months for G2, and 43.7 (23-120) months for G3. At their final follow-up visit, 44 patients (65.7%) achieved remission after transsphenoidal surgery (TSS), 18 (26.9%) were under medical control, 3 (4.5%) underwent bilateral adrenalectomy (BLA), 1 (1.5%) received radiation therapy (RT), and the 7 (10.4%) patients with adrenal CS underwent unilateral adrenalectomy (Table 2).

The following additional treatments were administered between this study’s baseline visit and longest follow-up: among the 44 patients treated with TSS at their latest follow-up, 1 underwent an additional TSS and 1 received medical therapy prior to TSS. Of the 18 medically managed patients at last follow-up, 8 (44.4%) had previously undergone TSS (3 of whom had 2 TSSs), and 2 of these 8 additionally received at least 1 different medication before switching to the 1 recorded at their last follow-up. Two (11.1%) other patients received 2 sequential medications before the final 1 at follow-up, and 1 (5.6%) patient was on a block-and-replace regimen with hydrocortisone (HC) after 2 TSSs and BLA. The complete treatment journey of patients on medical therapy, before and after entering the study, is shown in Fig. 1. Among the patients who underwent BLA at last follow-up, 1 had 2 prior TSSs, 1 had a sin1 gle prior TSS and received medical therapy and had 2 TSSs and received medical therapy. The patient treated with RT had 2 prior TSSs and received medical therapy.

 

Treatment journey of the 18 patients on medical therapy at their longest follow-up. Each row represents the longitudinal treatment course of each patient before and/or after entering the study. Multiple boxes indicating medical therapy within the same patient represent different medications administered over time. Segments outlined in bold represent the follow-up period analyzed in the current cohort, from this' study baseline to the longest available follow-up.

Figure 1.

Treatment journey of the 18 patients on medical therapy at their longest follow-up. Each row represents the longitudinal treatment course of each patient before and/or after entering the study. Multiple boxes indicating medical therapy within the same patient represent different medications administered over time. Segments outlined in bold represent the follow-up period analyzed in the current cohort, from this’ study baseline to the longest available follow-up.

Abbreviations: CT, clinical trial; Keto, ketoconazole; Levo, levoketoconazole; Mety, metyrapone; Mife, mifepristone; Osilo, osilodrostat; Pasi, pasireotide.

Sixteen patients presented with recurrent disease; an additional 9 patients (13.4%) developed recurrent or persistent disease after surgery. HC replacement was administered at 21 of the longest available follow-up visits [6 due to ongoing hypopituitarism or adrenal insufficiency (AI) and 15 for temporary postoperative AI], with another 9 cases receiving replacement at intermediate follow-up visits.

All 18 patients on medical therapy at their longest follow-up received adrenal steroidogenesis inhibitors: osilodrostat (8 patients, 44.4%), metyrapone (6 patients, 33.3%), and ketoconazole (4 patients, 22.2%).

Comorbid Conditions

As shown in Table 2, mean body mass index (BMI) at baseline was 33.2 ± 7.6 kg/m2. Twenty-eight (41.8%) patients presented with DM, 15 (22.4%) with prediabetes, and 24 (35.8%) without DM. Fifty-five of 67 patients (82.1%) had hypertension at baseline. At the longest follow-up, mean BMI decreased to 30.6 ± 8.5 kg/m² (P < .001), and mean HbA1c decreased to 5.7 ± 0.9% (P < .001). Thirteen patients (19.4%) continued to have DM, and 9 patients (13.4%) had prediabetes. Hypertension was present in 35 patients (53.7%), of whom 25 (71.4%) were receiving at least 1 antihypertensive medication.

LNSC levels remained abnormal in 16 patients (23.8%), although LNSC data were not available for 21 patients (31.3%). Of those, LNSC testing was not considered clinically indicated in some cases, such as patients on HC replacement for postoperative AI (n = 10) or patients with adrenal CS status postadrenalectomy (n = 3). The remaining 8 patients with missing LNSC data were on medical therapy (n = 4) or status post-TSS (n = 4).

Cushing QoL

Sixty-five patients (71 baseline to follow-up case pairs) completed the CushingQoL assessment. In the overall cohort, treatment resulted in significant improvements in mean QoL scores at all follow-up time points: mean change in G1 was 16.6 ± 18.6 (P < .001); G2, 19.1 ± 19.4 (P < .001); and G3, 16.6 ± 27.1 (P = .009) (Table 3, Fig. 2A). For longest available follow-up for each case, overall mean improvement was 18.2 ± 20.9 points (P < .001).

 

Score trajectory for (A) Cushing QoL, (B) BDI-II, (C) STAI-State, and (D) STAI-Trait in the overall cohort based on duration of follow-up, including patients with 2 follow-up visits. Significant improvements in mean scores were observed in all assessments and all follow-up time points except in group 3 STAI-State, noted with a gray line. Group 1: 6 months posttreatment, group 2: 12 to 18 months posttreatment, group 3: ≥ 24 months posttreatment.

Figure 2.

Score trajectory for (A) Cushing QoL, (B) BDI-II, (C) STAI-State, and (D) STAI-Trait in the overall cohort based on duration of follow-up, including patients with 2 follow-up visits. Significant improvements in mean scores were observed in all assessments and all follow-up time points except in group 3 STAI-State, noted with a gray line. Group 1: 6 months posttreatment, group 2: 12 to 18 months posttreatment, group 3: ≥ 24 months posttreatment.

Abbreviations: BDI-II, Beck Depression Inventory-II; QoL, quality of life; STAI, State-Trait Anxiety Inventory.

 
Table 3.

Cushing QoL scores at baseline, follow-up visit, and mean score change in each time-based group for total cohort, patients who had TSS and patients on medical therapy

Category Subgroup n Baseline mean Follow-up visit mean Mean change SD (change) P-value
Total cohort Longest follow-up 71 42.4 60.6 18.2 20.9 <.001
Group 1 45 40.6 57.2 16.6 18.6 <.001
Group 2 30 43.5 62.6 19.1 19.4 <.001
Group 3 23 41.2 57.9 16.6 27.1 .009
TSS Longest follow-up 42 40.0 59.9 20.0 18.5 <.001
Group 1 29 40.2 57.0 16.8 19.1 <.001
Group 2 21 41.4 61.9 20.4 15.8 <.001
Group 3 9 29.0 48.7 19.7 24.9 .045
Medical therapy Longest follow-up 19 46.3 58.4 12.1 26.2 .059
Group 1 9 44.6 56.7 12.1 18.5 .086
Group 2 7 40.9 57.1 16.3 31.4 .219
Group 3 10 56.0 62.0 6.0 27.9 .513

Abbreviations: QoL, quality of life; TSS, transsphenoidal surgery.

In the subanalysis by treatment strategy, 42 patients who completed the Cushing QoL achieved surgical remission and 19 patients were controlled on medical therapy. In the surgical cohort, improvement in scores were noted across all time groups with a mean score increase of 20.0 ± 18.5 points from baseline to the longest available follow-up (P < .001) (Figs. 3A and 4A). Among these patients, 15 had 2 follow-up visits; between them the mean score further increased by 9.6 ± 14.8 points, indicating significant QoL improvement >6 months postsurgery (P  = .025). In contrast, patients under medical control at follow-up showed a mean improvement of 12.1 ± 26.2 points from baseline to the longest follow-up, which did not reach statistical significance (n = 19; P  = .059) (Table 3, Figs. 3A and 4A).

 

Mean score change in total cohort, patients after transsphenoidal surgery, and patients on medical therapy based on duration of follow-up: (A) Cushing QoL, (B) BDI-II, (C) STAI-State, (D) STAI-Trait. Direct comparison between the 2 treatment modalities was performed only in the longest available follow-up visit for each patient. Caps represent SEM. Only P-values ≤ .05 are displayed.

Figure 3.

Mean score change in total cohort, patients after transsphenoidal surgery, and patients on medical therapy based on duration of follow-up: (A) Cushing QoL, (B) BDI-II, (C) STAI-State, (D) STAI-Trait. Direct comparison between the 2 treatment modalities was performed only in the longest available follow-up visit for each patient. Caps represent SEM. Only P-values ≤ .05 are displayed.

Abbreviations: BDI-II, Beck Depression Inventory-II; QoL, quality of life; STAI, State-Trait Anxiety Inventory.

 

Mean scores at baseline and longest follow-up in total cohort, patients after transsphenoidal surgery, and patients on medical therapy for (A) Cushing QoL, (B) BDI-II, (C) STAI-State, (D) STAI-Trait. Caps represent SEM. Asterisks (*) indicate significant change from baseline to follow-up (P ≤ .05) and brackets significant differences between the 2 treatment modalities at the longest follow-up visit (P ≤ .05).

Figure 4.

Mean scores at baseline and longest follow-up in total cohort, patients after transsphenoidal surgery, and patients on medical therapy for (A) Cushing QoL, (B) BDI-II, (C) STAI-State, (D) STAI-Trait. Caps represent SEM. Asterisks (*) indicate significant change from baseline to follow-up (P ≤ .05) and brackets significant differences between the 2 treatment modalities at the longest follow-up visit (P ≤ .05).

Abbreviations: BDI-II, Beck Depression Inventory-II; QoL, quality of life; STAI, State-Trait Anxiety Inventory.

MID achievement and predictors of improvement

In the overall cohort, CushingQoL MID was achieved in 42 of the 65 patients (64.6%) (Fig. 5). When stratified by follow-up duration, MID achievement rates were 60.8% in G1 (n = 45), 70.0% in G2 (n = 30), and 60.9% (n = 23) in G3.

 

MID achievement rates for all patient-reported outcomes at most recent follow-up.

Figure 5.

MID achievement rates for all patient-reported outcomes at most recent follow-up.

Abbreviations: MID, minimal important difference.

Males (n = 11) improved more than female patients (n = 54) (27.8 ± 13.0 vs 15.5 ± 21.9; P  = .020) and achieved the MID more frequently (90.9% vs 59.3%; P  = .045). Even though they presented with lower baseline scores compared to females (33.2 ± 16.3 vs 44.3 ± 20.7), that difference was not significant (P  = .117).

Score change differed by BMI category, using as cut-off the baseline mean of our cohort (≤33.2 vs >33.2 kg/m²): patients with lower BMI (n = 34) improved considerably more than those with higher BMI (n = 31) (median score change: 26 vs 11; P = .023). Likewise, MID achievement was more common in the low-BMI group (76.5% vs 51.6%; P = .036).

Patients presenting with recurrent disease at baseline (n = 16) reported better baseline QoL than those with primary disease (n = 49) (51.6 ± 19.5 vs 39.5 ± 20.9; P = .046), and their mean improvement following treatment was smaller (7.2 ± 21.0 vs 21.0 ± 19.8; P = .022). Only 43.8% of recurrent cases achieved the MID compared to 71.4% of primary cases (P = .044).

Patients reporting symptom duration ≥3 years prior to diagnosis (n = 29) were less likely to achieve the MID compared to those with shorter symptom duration (n = 35) (48.3% vs 66.7%; P = .008).

Patients with at least 1 abnormal LNSC (n = 15) value at follow-up were less likely to meet MID compared to those with normal LNSC values (n = 28) (33.3% vs 75.0%; P = .008). Similarly, patients requiring HC replacement (after their first TSS or unilateral adrenalectomy for adrenal CS) for >6 months (n = 22) were more likely to achieve MID than those requiring ≤6 months (n = 30) (81.8% vs 50.0%; P = .019).

MID achievement rates between the TSS and medical-therapy groups differed (71.4% vs 47.4%) but did not reach significance (P = .070).

Baseline 24 hours UFC was inversely correlated with baseline CushingQoL score (ρ = −0.3; P = .035), indicating a relationship between biochemical and symptomatic disease severity.

BDI-II

Fifty-six patients (60 case pairs) were included in this subgroup. In the overall cohort, improvements in BDI-II score were seen at all follow-up time points: mean change in G1 was 4.7 ± 9.2 (P = .004); in G2, 7.7 ± 7.3 (P  < .001); and in G3, 7.6 ± 10.6 (P = .008). In the overall cohort, mean improvement from baseline to the longest follow-up was 6.8 ± 8.6 points (P  < .001) (Table 4, Fig. 2B). Of note, a significant 7.3-point improvement was noted between follow-up G1 (6 months) and follow-up G2 (12 months) (n = 11, P = .025), indicating continued improvement in depressive symptoms over time after treatment.

 
Table 4.

BDI-II scores at baseline, follow-up visit, and mean score change in each time-based group for total cohort, patients who had TSS and patients on medical therapy

Category Subgroup n Baseline mean Follow-up visit mean Mean change SD (change) P-value
Total cohort Longest follow-up 60 15.7 8.9 6.8 8.6 <.001
Group 1 37 17.0 12.2 4.7 9.2 .004
Group 2 26 15.2 7.5 7.7 7.3 <.001
Group 3 18 15.9 8.3 7.6 10.6 .008
TSS Longest follow-up 32 17.1 8.2 8.8 8.1 <.001
Group 1 22 18.6 13.6 5.0 10.9 .043
Group 2 17 14.7 6.7 8.0 8.1 <.001
Group 3 6 20.5 8.3 12.2 4.7 .001
Medical therapy Longest follow-up 18 14.4 11.0 3.4 9.9 .159
Group 1 8 14.6 11.0 3.6 6.7 .171
Group 2 6 18.3 10.8 7.5 7.1 .049
Group 3 9 11.8 8.8 3.0 13.3 .517

Abbreviations: BDI-II, Beck Depression Inventory-II; TSS, transsphenoidal surgery.

Among the 32 patients who underwent TSS, improvements were noted across all follow-up time groups, with mean scores decreasing from 17.1 ± 10.9 to 8.2 ± 7.0 at the longest follow-up (P  < .001). In contrast, the 18 patients treated medically did not experience a significant change (P = .159). Improvement following TSS was significantly greater than with medical therapy at longest follow-up for each case (8.8 ± 8.1 vs 3.4 ± 9.9; P = .043) (Figs. 3B and 4B).

MID achievement and improvement predictors

Thirty-eight patients (67.9%) achieved MID by their longest follow-up (Fig. 5). Twenty-nine (51.8%) patients had baseline scores ≥14 points, indicating mild or moderate depression, and 23 (79.3%) of these patients met the MID. By follow-up duration, overall MID achievement rates were 56.8% in G1 (n = 37), 76.9% in G2 (n = 26), and 72.2% in G3 (n = 18).

By treatment approach, MID was met by 75.0% of patients who had TSS (n = 32) and 38.9% of patients on medication (n = 18) (P = .012). All patients who underwent BLA (n = 4) or RT (n = 1) and 5 out of 6 patients treated for adrenal CS achieved MID.

Patients with recurrent and primary disease did not differ in terms of baseline score (P = .267). However, those with recurrent disease were less likely to achieve MID (42.9% vs 76.2%; n = 14 vs 75.6%; n = 42, P = .021).

Symptom duration prior to diagnosis was inversely correlated with BDI-II score change (ρ = −0.33, P = .016). Patients experiencing symptoms for ≥3 years (n = 24) exhibited lower MID achievement rates compared to those with shorter symptom duration (n = 31) (50.0% vs 83.9%; P = .007).

Patients with normal LNSC at follow-up had higher MID achievement rates (81.5%; n = 27 vs 45.5%; n = 11, P = .026).

STAI

STAI-S

Fifty-six patients (60 case pairs) completed the STAI-State questionnaire. All follow-up time groups exhibited improvements, although in G3 the score decrease did not reach significance. In the overall cohort, mean scores declined from 44.8 ± 14.0 to 35.3 ± 11.2 at the longest follow-up (P < .001) (Table 5).

 
Table 5.

STAI scores at baseline, follow-up visit, and mean score change in total cohort, patients who had TSS and patients on medical therapy

Outcome Category Subgroup n Baseline mean Follow-up visit mean Mean change SD (change) P-value
STAI-State Total cohort Longest follow-up 60 44.8 35.3 9.6 12.5 <.001
Group 1 40 45.9 36.6 9.3 12.3 <.001
Group 2 25 46.2 35.3 10.8 10.8 <.001
Group 3 17 42.4 36.1 6.3 13.8 .078
TSS Longest follow-up 33 44.4 34.3 10.1 12.3 <.001
Group 1 24 44.4 35.8 8.6 11.9 .002
Group 2 16 43.7 33.9 9.8 11.9 .005
Group 3 7 46.0 37.9 8.1 12.1 .126
Medical therapy Longest follow-up 17 47.2 37.4 9.8 14.7 .014
Group 1 9 50.9 37.2 13.7 13.7 .017
Group 2 5 56.4 39.8 16.6 8.4 .012
Group 3 8 36.3 34.6 2.0 14.9 .715
STAI-Trait Total cohort Longest follow-up 58 46.0 37.3 8.6 12.6 <.001
Group 1 36 47.9 40.3 7.6 12.0 <.001
Group 2 26 45.7 36.0 9.6 10.9 <.001
Group 3 16 46.7 36.9 9.8 13.2 .010
TSS Longest follow-up 31 47.5 36.7 10.7 12.2 <.001
Group 1 22 47.9 40.6 7.3 11.5 .008
Group 2 16 46.3 35.9 10.4 11.4 .002
Group 3 6 54.0 37.8 16.2 7.5 .003
Medical therapy Longest follow-up 18 45.1 38.8 6.2 13.4 .065
Group 1 8 49.5 39.8 9.8 14.0 .089
Group 2 6 47.5 36.2 11.3 10.9 .052
Group 3 8 39.3 37.5 1.8 12.7 .709

Abbreviations: STAI, State-Trait Anxiety Inventory; TSS, transsphenoidal surgery.

By treatment modality, state anxiety improved in both the TSS group (10.1 ± 12.3; n = 33; P < .001) and patients on medical therapy (9.8 ± 14.7; n = 17; P = .014) (Figs. 3C and 4C).

MID achievement and improvement predictors

Overall, 30 of 56 (53.5%) patients achieved MID in STAI-State at their longest follow-up visit (Fig. 5). By follow-up duration, MID achievement rates were 52.5% in G1 (n = 40), 56.1% in G2 (n = 25), and 64.7% in G3 (n = 17).

A negative correlation was observed between STAI-S score change and baseline age (ρ = −0.3, P = .029). Patients >40 years old at baseline (n = 29), improved less than younger patients (n = 27) [median score change: 5 vs 13 (P = .017)] and were less likely to meet the MID, with results approaching statistical significance (41.4% vs 66.7%, P = .058).

STAI-T

Fifty-three patients (58 case pairs) were evaluated. In the overall cohort, mean score change from baseline to longest follow-up was 8.6 ± 12.6 points (P < .001). In time-based subgroups the following score reductions were noted: G1: 7.6 ± 12.0 (P < .001), G2: 9.6 ± 10.9 (P < .001), G3: 9.8 ± 13.2 (P = .010) (Fig. 2D). Among patients treated with TSS (n = 31), significant improvement was seen in every subgroup. Patients receiving medical therapy (n = 18) showed numerical but not statistically significant improvement (P = .065) (Table 5, Figs. 3D and 4D).

MID achievement and improvement predictors

STAI-Trait MID was achieved by 28 (52.8%) patients at the longest follow-up (Fig. 5). By follow-up duration, MID achievement rates were 44.4% in G1, 53.8% in G2, and 68.8% in G3.

Patients ≤40 years at baseline (n = 26) improved more than those aged >40 years (n = 27), with results approaching significance [median score change: 14 vs 4 (P = .060)].

Patients with ≥2 Follow-up Visits

Twenty-eight patients had multiple follow-up visits; we stratified by follow-up duration (<2 years vs ≥2 years) [Table S1 (30)].

Cushing QoL

Significant improvements were noted in all groups with pairwise comparisons revealing higher scores in both first and second follow-up, with the mean score changing by 14.9 (P = .002) and 21.5 (P < .001) points, respectively, in total cohort.

BDI-II

Although the overall trajectory demonstrated significant improvement, pairwise comparisons showed no significant changes between baseline and first follow-up. Improvement was noted between baseline and the second follow-up visit (P < .001) and between the 2 treated visits (P = .021) (Table 6).

 
Table 6.

BDI-II mean scores and pairwise comparisons in patients with 2 follow-up visits

Comparison Mean score A Mean score B Mean difference P-value
Baseline vs follow-up 1 16.9 13.0 4.846 .200
Baseline vs follow-up 2 16.9 7.1 9.731 <.001
Follow-up 1 vs follow-up 2 13.0 7.1 4.885 .021

Abbreviations: BDI-II, Beck Depression Inventory-II.

STAI-S

Overall, the mean score decreased from 45.9 ± 13.0 at baseline to 38.3 ± 12.4 at the first follow-up and to 36.1 ± 10.9 at the second follow-up (P = .005). In cases with follow-up ≥2 years (n = 13), the score trajectory did not change significantly from baseline (P = .187). In contrast, patients with total follow-up <2 years (n = 11) exhibited significant improvement (P = .008).

STAI-T

Overall, the mean score decreased from 49.2 ± 9.0 at baseline to 39.8 ± 11.6 at first follow-up and further to 36.4 ± 10.5 at second follow-up (P < .001). Significant improvement noted from baseline to both follow-up visits in both subgroups (P < .001).

Regression Analyses for Predictors of Change

In all measurements, after controlling for age and sex, baseline score was an independent predictor of greater change (P < .001) (Table 7). Patients with more impaired QoL, or severe depression and anxiety at baseline, had more room for improvement.

 
Table 7.

Predictors of mean score change from baseline to most recent follow-up of each patient in univariable and multivariable linear regression analysis

Outcome Parameter Univariable analysis Multivariable analysis
Estimate SE P-value Estimate SE P-value
Cushing QoL score change Baseline score −0.50 0.11 <.001 −0.47 0.11 <.001
Baseline age −0.05 0.20 .797 −0.04 0.19 .825
Male sex 12.11 6.83 .081 7.49 6.68 .267
Baseline age ≤40 (vs >40) −3.43 5.23 .515 −4.90 4.89 .321
Normal LNSC (vs abnormal) −19.98 6.4 .004 −19.39 5.26 .001
HC replacement >6 months (vs ≤6 months) 10.06 5.90 .095 12.35 4.96 .016
Primary disease at baseline (vs recurrent) −13.19 5.86 .028 −6.63 5.60 .241
Baseline BMI ≤33.2 kg/m2 (vs >33.2 kg/m2) −8.72 5.1 .095 −6.53 4.71 .171
Symptom duration ❤ years (vs ≥3 years) −4.60 5.25 .384 −4.55 4.70 .337
Treatment (TSS vs medical therapy) −7.87 5.8 .185 −4.23 5.41 .473
BDI-II score change Baseline score 0.57 0.09 <.001 0.58 0.09 <.001
Baseline age −0.08 0.09 .402 0.02 0.08 .797
Male sex −0.59 3.07 .848 0.80 2.53 .752
Baseline age ≤40 (vs >40) −3.96 4.82 .429 −0.52 2.02 .800
Normal LNSC (vs abnormal) −3.01 3.06 .332 −3.27 1.87 .090
HC replacement >6 months (vs ≤6 months) 0.06 2.577 .980 2.33 1.90 .226
Primary disease at baseline (vs recurrent) −4.76 2.63 .076 −2.66 2.17 .224
Baseline BMI ≤33.2 kg/m2 vs >33.2 kg/m2 −3.79 2.29 .104 −1.41 1.90 .462
Symptom duration ❤ years (vs ≥3 years) −5.61 2.23 .015 −3.49 1.78 .055
Treatment (TSS vs medical therapy) −5.46 2.60 .041 −3.94 2.02 .057
STAI-State score change Baseline score 0.57 0.09 <.001 0.56 0.09 <.001
Baseline age −0.22 0.13 .104 −0.11 0.12 .338
Male sex −5.70 4.37 .197 −4.39 3.69 .239
Baseline age ≤40 (vs >40) −5.94 3.30 .078 −3.75 2.73 .175
Normal LNSC (vs abnormal) −2.15 3.95 .589 −4.47 2.89 .131
HC replacement >6 months (vs ≤6 months) 0.72 3.45 .836 4.42 2.81 .123
Primary disease at baseline (vs recurrent) 2.41 3.91 .743 2.14 2.91 .465
Baseline BMI ≤33.2 kg/m2 (vs >33.2 kg/m2) −2.36 3.38 .488 −0.93 2.56 .716
Symptom duration ❤ years (vs ≥3 years) −5.67 3.33 .095 −3.26 2.46 .192
Treatment (TSS vs medical therapy) −1.50 3.91 .970 −2.77 2.97 .355
STAI-Trait score change Baseline score 0.58 0.11 <.001 0.56 0.12 <.001
Baseline age −0.20 0.13 .128 −0.07 0.11 .562
Male sex −3.09 4.57 .502 −0.83 4.13 .841
Baseline age ≤40 (vs >40) −5.45 3.36 .111 −2.55 3.03 .405
Normal LNSC (vs abnormal) −6.52 4.23 .133 −6.74 3.44 .059
HC replacement >6 months (vs ≤6 months) 4.63 3.52 .195 7.11 2.87 .018
Primary disease at baseline (vs recurrent) −2.07 3.90 .597 −0.34 3.42 .921
Baseline BMI ≤33.2 kg/m2 (vs >33.2 kg/m2) −4.95 3.38 .150 −2.59 3.00 .393
Symptom duration ❤ years (vs ≥3 years) −5.78 3.37 .093 −4.35 2.80 .127
Treatment (TSS vs medical therapy) −4.49 3.74 .236 −3.39 3.11 .281

Each predictor in multivariable analysis was separately evaluated, adjusting for baseline age, sex, and baseline score. In models exploring baseline age <40 years as a categorical variable, continuous baseline age was not included in the multivariable model. Statistically significant results (P ≤ .05) are indicated in bold.

Abbreviations: BDI-II, Beck Depression Inventory-II; BMI, body mass index; HC, hydrocortisone; LNSC, late-night salivary cortisol; QoL, quality of life; STAI, State-Trait Anxiety Inventory; TSS, transsphenoidal surgery.

Cushing QoL

Normal LNSC at follow-up and >6 months of postoperative HC replacement were predictors of QoL score improvement and MID achievement even after adjustment for baseline score, age, and sex. Lower baseline BMI and male sex, although significant in univariable analysis, were no longer significant in the multivariable linear model. However, a BMI < 33.2 kg/m² (P = .034) and symptom duration ❤ years prior to diagnosis (P = .005) remained statistically significant predictors of reaching the MID in the multivariable logistic model (Table 8, Fig. 6). To determine if treatment modality modified the effect of LNSC, we built a model including baseline QoL score, age, sex, follow-up LNSC, and treatment type (TSS vs medical therapy). In this multivariable model, normal LNSC remained a significant predictor of improvement (P = .023).

 

MID achievement predictors after multivariable analysis for (A) Cushing QoL, (B) BDI-II, (C) STAI-State. Each predictor was analyzed in a separate logistic regression model after adjustment for baseline score, age, and sex. Predictors for trait anxiety are not shown, as a longer duration of postoperative HC replacement was a significant predictor only in the linear multivariable regression model.

Figure 6.

MID achievement predictors after multivariable analysis for (A) Cushing QoL, (B) BDI-II, (C) STAI-State. Each predictor was analyzed in a separate logistic regression model after adjustment for baseline score, age, and sex. Predictors for trait anxiety are not shown, as a longer duration of postoperative HC replacement was a significant predictor only in the linear multivariable regression model.

Abbreviations: BDI-II, Beck Depression Inventory-II; HC, hydrocortisone; LNSC, late-night salivary cortisol; QoL, quality of life; STAI, State-Trait Anxiety Inventory; TSS, transsphenoidal surgery.

 
Table 8.

Predictors of MID achievement from baseline to most recent follow-up of each patient in univariable and multivariable logistic regression models

Outcome Parameter Univariable analysis Multivariable analysis
Estimate SE P-value Estimate SE P-value
Cushing QoL MID achievement Baseline score 0.94 0.02 <.001 0.94 0.02 <.001
Baseline age 1.01 0.02 .548 1.02 0.03 .410
Male sex 6.89 1.09 .076 3.82 1.16 .249
Baseline age ≤40 (vs >40) 1.01 0.52 .987 1.27 0.62 .704
Normal LNSC (vs abnormal) 6.00 0.70 .011 22.82 1.17 .007
HC replacement >6 months (vs ≤6 months) 4.50 0.66 .023 14.49 0.99 .007
Primary disease at baseline (vs recurrent) 3.21 0.60 .050 1.78 0.68 .400
Baseline BMI ≤33.2 kg/m2 (vs >33.2 kg/m2) 3.05 0.54 .039 4.33 0.69 .034
Symptom duration ❤ years (vs ≥3 years) 4.29 0.56 .010 9.07 0.78 .005
Treatment (TSS vs medical therapy) 2.79 0.57 .074 2.36 0.68 .209
BDI-II MID achievement Baseline score 1.08 0.04 .064 1.08 0.04 .042
Baseline age 1.02 0.02 .510 1.01 0.03 .613
Male sex 5.28 1.10 .130 5.76 1.14 .126
Baseline age ≤40 (vs >40) 1.11 0.57 .854 1.05 0.63 .937
Normal LNSC (vs abnormal) 5.28 0.78 .033 14.86 1.25 .030
HC replacement >6 months (vs ≤6 months) 2.00 0.65 .288 2.32 0.71 .236
Primary disease at baseline (vs recurrent) 4.27 0.65 .026 2.67 0.71 .165
Baseline BMI ≤33.2 kg/m2 (vs >33.2 kg/m2) 1.94 0.58 .255 1.55 0.66 .504
Symptom duration < 3 years (vs ≥3 years) 5.20 0.64 .010 5.74 0.70 .012
Treatment (TSS vs medical therapy) 4.71 0.63 .014 4.19 0.69 .039
STAI-State MID achievement Baseline score 1.17 0.04 <.001 1.19 0.05 <.001
Baseline age 0.97 0.02 .241 0.96 0.03 .261
Male sex 1.95 0.71 .347 3.17 1.00 .249
Baseline age ≤40 (vs >40) 2.83 0.56 .061 5.87 0.89 .048
Normal LNSC (vs abnormal) 2.02 0.73 .337 2.41 1.04 .396
HC replacement >6 months (vs ≤6 months) 0.94 0.59 .943 2.66 0.97 .313
Primary disease at baseline (vs recurrent) 1.21 0.62 .757 2.15 0.92 .408
Baseline BMI ≤33.2 kg/m2 (vs >33.2 kg/m2) 2.05 0.54 .189 1.57 0.82 .584
Symptom duration < 3 years (vs ≥3 years) 1.39 0.55 .52 0.98 0.77 .980
Treatment (TSS vs medical therapy) 1.95 0.62 .279 1.44 0.78 .634
STAI-Trait MID achievement Baseline score 1.17 0.05 <.001 1.17 0.05 <.001
Baseline age 0.98 0.02 .295 0.97 0.03 .342
Male sex 2.33 0.75 .257 4.16 1.02 .161
Baseline age ≤40 (vs >40) 2.12 0.56 .175 2.32 0.76 .265
Normal LNSC (vs abnormal) 1.78 0.71 .416 1.48 0.96 .686
HC replacement >6 months (vs ≤6 months) 1.58 0.60 .450 4.21 0.95 .130
Primary disease at baseline (vs recurrent) 2.45 0.61 .138 2.06 0.90 .421
Baseline BMI ≤33.2 kg/m2 (vs >33.2 kg/m2) 1.98 0.54 .202 1.11 0.79 .891
Symptom duration < 3 years (vs ≥3 years) 1.09 0.53 .866 0.99 0.71 .984
Treatment (TSS vs medical therapy) 1.39 0.60 .585 1.18 0.82 .839

Each predictor in multivariable analysis was separately evaluated, adjusting for baseline age, sex and baseline score. In models exploring baseline age <40 years as a categorical variable, continuous baseline age was not included in the multivariable model. Statistically significant results (P ≤ .05) are indicated in bold.

Abbreviations: BDI-II, Beck Depression Inventory-II; BMI, body mass index; HC, hydrocortisone; LNSC, late-night salivary cortisol; MID, minimal important difference; QoL, quality of life; STAI, State-Trait Anxiety Inventory; TSS, transsphenoidal surgery.

BDI-II

Symptom duration ❤ years (P = .012), normal LNSC at follow-up (P = .030), and TSS (P = .039) instead of medical therapy (for CD) were statistically significant predictors of MID achievement in the multivariable logistic models even after adjusting for age, sex, and baseline score (Table 8, Fig. 6).

STAI-S

In the multivariable logistic model adjusted for sex and baseline score, age <40 predicted higher odds of MID achievement (P = .041) (Table 8, Fig. 6).

STAI-T

After adjustments for sex and baseline score, age group <40 was no longer a predictor of improvement. Although nonsignificant in univariable screening, duration of postoperative HC replacement >6 months emerged as a significant predictor of score change, though not MID achievement, after adjusting for age, sex, and baseline score (Tables 7 and 8).

Discussion

In a clinical practice cohort of patients with CS followed prospectively before and over time up to 11.5 years after surgical remission and/or biochemical control from medical treatment, we identified significant improvements in mean QoL, depression, and anxiety scores in the overall cohort, but only half of patients achieved clinically meaningful improvements in anxiety, as assessed by MID, and about two-thirds of the cohort achieved clinically meaningful improvements in QoL and depression at their most recent follow-up. When assessed by treatment strategy, surgery resulted in statistically significant improvements in all 3 measures, whereas medical therapy resulted in statistically significant improvements in state anxiety but not QoL or depression. These findings may be impacted by the smaller cohort size of the medically treated patients and more complex treatment journeys in the medically vs surgically treated patients. Overall, in this cohort of treated, biochemically controlled patients, several predictors of improvements were identified, including age, baseline BMI, duration of symptoms prior to treatment, duration of HC requirement after surgery, and LNSC normalization with treatment.

PRO studies in CS have shown that patients with CS are at risk for mood disorders and impaired QoL at diagnosis and that improvement posttreatment is often partial, delayed, or inconsistent, even after biochemical remission (3-12). The most recent prospective study confirmed persistent deficits in QoL and depressive symptoms up to 1 year postsurgery, with mean BDI-II scores remaining in the clinically significant range (9). As for anxiety, a prospective study reported high baseline anxiety in patients with CD, and, although it improved after surgery, a proportion continued to experience anxiety up to 1 year posttreatment (14). Neuroimaging supports a biological basis for these symptoms, with brain abnormalities (hippocampal atrophy, cortical thinning, white matter damage) seen after biochemical cure possibly explaining the long-term emotional and cognitive deficits in some patients (12, 15). As for previously reported predictors of improvement, male sex, lower BMI at follow-up (4, 31, 32), LNSC normalization (17), and shorter duration of cortisol exposure (32, 33) emerged as independent predictors of better QoL. Persistent hormone deficits or arginine vasopressin deficiency were related to worse depression (9) while increased age and male sex predicted less anxiety (31). While some studies suggest that hypopituitarism and HC replacement are associated with poorer outcomes (11, 34), others found no significant difference (35). Limitations of these studies include the cross-sectional design (4, 31-36), small cohort sizes (9), and lack of long-term follow-up >12 months (37), especially in the setting of clinical trials (17).

In our study, QoL, depression, and anxiety improved following treatment, but the patterns varied by domain and follow-up duration.

As for QoL, interestingly, patients with recurrent disease showed better baseline QoL scores than those with primary disease, possibly due to posttreatment surveillance, resulting in earlier diagnosis at recurrence vs initial presentation. Although patients on medical therapy showed a trend toward improvement with treatment, results did not reach significance, potentially due to sample size or the increased (better) baseline scores in patients with recurrent disease and thus those receiving medical treatment. Most patients on medical therapy had persistent or recurrent disease and have experienced longer, more complex treatment journeys (as depicted in Fig. 1) compared to those in surgical remission, which also may impact QoL and mood outcomes. Notably, in patients with 2 follow-up visits, QoL continued to significantly improve 6 months posttreatment in those treated surgically but not in the total cohort.

Multivariable analysis revealed several predictors of QoL improvement after treatment. LNSC normalization was independently associated with approximately 20 times higher odds of achieving the MID, indicating the clinical importance of recovery of cortisol circadian rhythm for treated CS patients and the need for further work to identify medical therapies and regimens that can facilitate this. Postoperative HC replacement for more than 6 months after surgery (indicating a longer hypothalamic-pituitary-adrenal axis recovery) was also associated with greater QoL improvement. This finding complements prior work showing an association between duration of postoperative HC replacement and long-term remission (38, 39). Lower baseline BMI and shorter symptom duration were predictive of MID achievement, though not of mean score change.

As for depression, patients with 2 follow-ups had a distinct pattern: no significant change between baseline and first follow-up but significant improvement between the 2 follow-up visits. This suggests that depression may take longer to improve, with more evident change >6 months after biochemical control, which contrasts prior work suggesting that anxiety takes longer than depression to improve (14). The delayed trajectory could reflect the structural brain changes seen in CS even in remission, which are partially reversible (12, 40). Our data showed that symptom duration > 3 years prior to diagnosis reduced MID achievement, consistent with the literature linking diagnostic delay to persistent depression (33). A normal follow-up LNSC was associated with approximately 15 times higher odds of achieving the MID after adjustment, again emphasizing the need to attempt LNSC normalization while on medical therapy (9, 17).

As for anxiety, to date, no prospective study has assessed anxiety longitudinally using STAI, the gold standard for measuring and differentiating between trait and state anxiety (29). Our results confirm that anxiety improves after treatment; however, state and trait show different patterns. State anxiety was the only domain overall to improve significantly in the medical therapy group, while trait anxiety showed only a trend. Although age <40 predicted greater anxiety improvements in both, this remained significant only for state anxiety after adjustment in the logistic model. Trait anxiety improvements were predicted by longer postoperative HC replacement in the linear multivariable model, again suggesting that a shorter recovery time of the HPA axis may be an early indicator for identifying patients who require a closer follow-up. A normal LNSC at follow-up approached significance in the multivariable linear model, suggesting the importance of circadian rhythm recovery in trait anxiety improvement as well.

Across all measures, we found no baseline or outcome differences between pituitary and adrenal CS or between those on or off HC replacement at their last follow-up. Of note, our cohort was predominantly CD patients, and the small number of adrenal CS patients may limit the ability to detect a difference in the 2 cohorts.

Overall, discrepancies between mean change and MID achievement, as reflected in the linear and logistic models, respectively, highlight the importance of reporting both metrics when available, as they may capture different but clinically useful predictors.

We also observed differences between score change and MID achievement across different time groups within the same questionnaire. In STAI-State, G2 (12-18 months since most recent treatment) had greater score reductions than G3 (24 months or more posttreatment)—though change in G3 was nearly significant. However, a higher proportion of patients in G3 achieved MID. Looking at our data, G3 had the highest SD of mean change, indicating greater heterogeneity in treatment response, likely due to broader range of follow-up duration or higher medical therapy rates among patients: 45.5% (n = 10) in G3 vs 22.6% (n = 6) in G2% and 20% (n = 8) in G1. This variability in state anxiety is reflected in the subgroup of patients with 2 follow-up visits: those followed for >2 years showed no significant improvement, while those with <2 years did. Differential responses to long-term medical therapy, higher rates of loss to follow-up among postsurgical patients, or the negative impact of time on state anxiety symptoms may explain this. For BDI-II we used a percentage-based MID, which likely contributed to greater alignment with mean changes, and accounted for individual variability and baseline severity, factors especially relevant when applying generic tools in disease-specific contexts.

Of note, in the cohort overall, the mean follow-up score was within the normal range for depression (<14 for BDI-II) and anxiety (<40 for STAI) (41). This is an encouraging finding that, on average, patients with treated CS may have rates of depression and anxiety that are not clinically significant. Nevertheless, as shown in Table 2, rates of antidepressant, anxiolytic, pain, and sleep medication use did not decrease with treatment but instead were stable or increased numerically, although they were not statistically significant. Similarly, case-control studies have reported higher depression and anxiety levels in patients with CS in remission when compared to healthy controls, even if the mean scores were within the normal range for both groups (15, 42). Whether this difference is clinically significant still remains inconclusive. Taken together, these results emphasize the importance of multidisciplinary pituitary centers that integrate formal psychological services, including psychiatric care and social work support, to monitor and promote long-term mental health in this population.

Inclusion of both surgically and medically treated patients may be considered a limitation to the study, since it introduces heterogeneity in the cohort. However, including patients undergoing a range of treatments allows for analysis of CS cohorts as seen in a real-world practice rather than a controlled clinical trial setting, thus providing clinically valuable information. Another limitation of the study is the use of clinically available, rather than centralized, hormone assays, again introducing variability in our data. As this cohort included patients treated at our center, their endocrine testing followed standard of care, which did not include sending samples to a centralized laboratory. The use of antidepressants in a minority of patients could potentially affect depression scores. However, this is an unavoidable reality in patients with CS, and their use was stable over time (14.9% at baseline vs 19.4% at follow-up, P = .49). Given our prospective study design, which captured each patient’s change relative to their own baseline, and adjustment for baseline scores in multivariable models, any confounding is likely limited.

Despite these limitations, our data contribute to the literature as the largest clinical practice cohort to date that prospectively characterizes QoL and mood disturbances in CS patients, before and over time after achieving biochemical control. By incorporating 3 longitudinal time points, we identified that the greatest improvements occur within the first 6 months for QoL and anxiety, while depression improves more gradually beyond that point. Another strength of our approach is the use of score change and MID as outcomes when exploring potential predictors of improvement and not remission score per se, enabling more precise tracking of each patient’s progress and supporting an individualized approach by accounting for baseline severity.

In summary, this prospective analysis of mood and Qol in a clinical practice cohort of patients with CS showed that effective treatment of hypercortisolism improves depression, anxiety, and QoL, but one-third to one-half of patients do not experience clinically meaningful improvements in these measures. We identified predictors of improvement that highlight the need for early detection of CS and treatment strategies that allow for recovery of cortisol circadian rhythm. Psychological recovery in CS is heterogeneous, domain-specific, and not always aligned with biochemical normalization. Our findings support a model of care that extends beyond endocrine remission, integrating psychosocial follow-up and individualized treatment.

Acknowledgments

We would like to thank the people with Cushing’s syndrome who contributed their valuable time to this research.

Funding

This research was funded by the National Institutes of Health/National Cancer Institute Support Grant P30 CA008748.

https://academic.oup.com/jcem/advance-article/doi/10.1210/clinem/dgaf598/8307075?login=false

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A Silent Invader: Asymptomatic Rhodococcus Infection Unmasked In a Patient With Ectopic ACTH-Dependent Cushing’s Syndrome

Posted on October 8, 2025 by MaryO

Introduction: Rhodococcus species, particularly Rhodococcus equi, are rare opportunistic pathogens that typically affect immunocompromised individuals. These infections usually present with respiratory or systemic symptoms and are often linked to environmental exposure. Asymptomatic Rhodococcus infections are exceedingly rare and pose unique diagnostic and therapeutic challenges.

Case description: We report the case of a 29-year-old male who presented with new-onset diabetes mellitus, resistant hypertension and significant weight gain. Physical examination revealed features consistent with Cushing’s syndrome. Biochemical evaluation confirmed ACTH-dependent hypercortisolism with an elevated plasma ACTH level, and a lack of suppression on high-dose dexamethasone testing; imaging identified a suspicious pulmonary nodule. Bronchoscopic biopsy revealed no malignancy, however cultures grew Rhodococcus species. The patient denied any respiratory symptoms or environmental exposure. Initial antibiotic therapy with ciprofloxacin and rifampin was started. Follow-up imaging showed rapid enlargement of the pulmonary mass, prompting surgical resection. Histopathology revealed malakoplakia, and repeat cultures again yielded Rhodococcus spp. Antibiotics were adjusted to azithromycin and rifampin, and the patient was started on ketoconazole to manage hypercortisolism.

Conclusion: This case highlights the importance of considering opportunistic infections such as Rhodococcus spp. in immunocompromised patients, even in the absence of symptoms. It underscores the diagnostic value of investigating incidental findings in such populations and illustrates the need for prompt, multidisciplinary management to prevent disease progression.

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From https://www.ejcrim.com/index.php/EJCRIM/article/view/5711

Filed under: Cushing's, Rare Diseases, symptoms | Tagged: , , , , , | Leave a comment »

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