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

Abstract

Introduction

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

Methods

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

Results

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

Conclusion

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

Introduction

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

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

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

Materials & Methods

Eligibility criteria

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

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

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

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

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

DVT: Deep Venous Thrombosis; VT: Venous Thrombosis

Cohort definitions

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

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

HCO: Healthcare Organization

Statistical analysis

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

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

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

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

Results

Cushing’s syndrome, unspecified

Enoxaparin and Heparin

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

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

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

Enoxaparin and Warfarin

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

Enoxaparin and Apixaban

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

Enoxaparin and Aspirin 81 mg

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

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

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

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

Pituitary hypercortisolism (Cushing’s disease)

Enoxaparin and Heparin

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

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

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

Enoxaparin and Warfarin

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

Enoxaparin and Apixaban

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

Enoxaparin and Aspirin 81 mg

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

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

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

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

Discussion

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Strengths and limitations

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

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

Conclusions

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

References

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

Older Adults With Cushing’s Disease Present With Fewer Symptoms Than Younger Patients

Key takeaways:

  • Older age was tied to a higher prevalence of 10 comorbidities among a group of 608 people with Cushing’s disease.
  • Younger age was associated with most hallmark features of Cushing’s disease.

The presentation of Cushing’s disease varies by age, with older adults having fewer hallmark features of the condition and more comorbidities, according to study findings published in The Journal of Clinical Endocrinology & Metabolism.

Researchers assessed data from 608 people diagnosed with Cushing’s disease and treated with a transsphenoidal tumor resection at 11 academic pituitary centers in the U.S. from 2003 to 2023 (82% women; 77.3% white). Patients were divided into 10-year age interval groups, with the youngest group consisting of those aged 10 to 19 years and the oldest containing adults aged 70 to 79 years. Researchers found Cushing’s disease presents differently as adults age, with older adults experiencing more comorbidities and complications, but fewer hallmark features such as weight gain, facial rounding and hirsutism.

“The diagnosis of Cushing’s disease remains challenging, particularly with age,” Won Kim, MD, associate clinical professor of neurosurgery and radiation oncology at the David Geffen School of Medicine at UCLA, told Healio. “The older a patient is, the more likely that he or she may have a slower-growing tumor with fewer classic manifestations of the disease.”

Kim and colleagues obtained data from the Registry of Adenomas of the Pituitary and Related Disorders. Hallmark features of Cushing’s disease were identified by consensus opinion.

The number of comorbidities increased with patient age (beta = 0.0466; P < .001), according to the researchers.

Older age was associated with several comorbidities for patients with Cushing’s disease, including hypertension (P < .001), diabetes (P < .001), hyperlipidemia (P < .001), cancer (P < .001), coronary artery disease (P < .001), chronic obstructive pulmonary disease (P = .044), cardiac arrhythmia (P = .023), hepatitis (P = .038), anxiety (P = .039) and osteopenia (P = .024). The most common comorbidity was hypertension, which was prevalent in 67.2% of participants.

In an analysis of presenting hallmark features of Cushing’s disease, younger age was positively associated with weight gain (P < .001), facial rounding (P < .001), abdominal striae (P < .001), hirsutism (P < .001), menstrual irregularities (P < .001) and acne (P < .001). Older age was positively tied to obstructive sleep apnea (P = .007). The most common hallmark feature of Cushing’s disease was weight gain, prevalent in 80.2% of patients.

“Our work highlights that we must lower our threshold for suspecting Cushing’s disease in patients without the classic physical manifestations as the age of the patient increases,” Kim said in an interview. “Subtle clues, such as increasingly difficult to control medical conditions such as hypertension and diabetes, may be the only things we see.”

Older age was associated with lower preoperative 24-hour urinary free cortisol levels (beta = –0.0256; P = 6.89 x 10-7), but higher postoperative nadir cortisol (beta = 0.0342; P = 1.03 x 10-4) and higher adrenocorticotropin (beta = 0.0204; P = 5.22 x 10-4).

In an assessment of tumor characteristics, older age was tied to having a higher Knosp grade tumor (beta = 0.011; P = .00435), greater tumor volume (beta = 0.0261; P = .0233) and higher maximum tumor dimension (beta = 0.009; P = 3.82 x 10-4). Older age was inversely associated with Ki-67 index, which is a measure of tumor’s proliferation (beta = –0.0459; P = 1.39 x 10-4).

Age was not associated with a patient’s number of surgical complications. Older age was linked to a greater prevalence of deep vein thrombosis or venous thromboembolism (beta = 0.07; P = .014). Younger age was tied to a higher prevalence of postoperative arginine vasopressin (beta = –0.02; P = .048).

Kim said the study’s findings should encourage health care professionals to adjust their methods for screening for Cushing’s disease in older adults.

“Improving our diagnostic sensitivity through our standardized assessments for the disease should account for these new findings,” Kim told Healio.

For more information:

Won Kim, MD, can be reached at wonkim@mednet.ucla.edu.

Published by:endocrine today logo

‘Cortisol Face’ Is Real, But It’s Not As Common As You Might Think

Across social media platforms, the hashtag “#cortisolface” has gained traction, with many users claiming that facial swelling and puffiness are due to elevated cortisol levels. Influencers often start their videos with statements like, “You’re not ugly, you just have cortisol face,” and promote various remedies and lifestyle changes as solutions. However, experts warn that although high cortisol can contribute to these symptoms, it is not the sole cause of facial puffiness.

Before blindly believing social media trends, it’s crucial to explore the underlying causes, which might include medications, health conditions or lifestyle factors. Addressing high cortisol levels requires a different approach than what many of these social media influencers suggest.

Dr. Maria Olenick, associate professor at Texas A&M University School of Nursing, offers valuable insights into the concept of “cortisol face,” its effects on the body, and methods for lowering cortisol levels.

What Is ‘Cortisol Face’?

Although high cortisol levels are a factor in some cases of facial swelling and puffiness, the symptom is not as common as social media is making it out to be. In some cases, it’s not cortisol but the foods you eat. For example, eating a meal or snack that’s high in sodium can make you feel bloated because the salt can cause you to retain fluid and look a little puffier than normal.

“Some of the more severe things like moon face and other symptoms are what you might consider a serious issue when a person should really go and see their health care provider, because that would require some medical diagnosis,” Olenick said.

Moon face—or moon facies, in medical terminology—describes an increase of facial swelling due to high cortisol levels. This is a more serious condition that doesn’t just appear or disappear from one day to the next.

How Does Cortisol Affect The Body?

Cortisol is referred to as the body’s “built-in alarm system” because it plays a crucial role in the body’s response to stress, metabolism, immune activity and maintaining homeostasis. The amount of cortisol produced will differ from day to day due to different mental and physical stressors.

“Among healthy individuals, cortisol follows a diurnal pattern in which levels are higher upon waking, increase significantly over about 30 minutes, and steadily decrease from the peak throughout the rest of the day, reaching the nadir in the middle of the night,” said Olenick, whose research focuses on effective stress management techniques and therapies for veterans dealing with post-traumatic stress disorder (PTSD).

Hormones act as chemical messengers working through your bloodstream to regulate various bodily functions. Cortisol, often called the stress hormone, utilizes receptors that receive and use the hormone in different ways by communicating with your brain to control your mood, motivation and fear.

Different ways cortisol reacts and adapts to cope in a stress state include:

  • Regulating blood pressure
  • Regulating metabolism
  • Regulating blood sugar
  • Managing how your body uses carbohydrates, fats and proteins
  • Suppressing inflammation
  • Helping control your sleep/wake cycle
  • Aiding in forming memories

Cortisol secretion is regulated by a hormonal axis through a feedback loop that involves your hypothalamus, pituitary gland, adrenal glands and certain hormones known as the hypothalamic-pituitary-adrenal (HPA) axis. The hypothalamus and pituitary gland in your brain monitor your blood’s cortisol levels before signaling the adrenal glands, which sit on top of each kidney. When a change in cortisol levels is detected, your adrenal glands react to these signals by adjusting the amount of cortisol needed to be released.

The feedback system starts when the hypothalamus detects stress and releases corticotrophin-releasing hormone (CRH) accordingly. This hormone travels into the pituitary gland, signaling it to secrete adrenocorticotropic hormone (ACTH). ACTH will then make its way to the adrenal glands, stimulating them to produce cortisol. Once produced, cortisol is released into the bloodstream, where it helps regulate various functions including stress response, metabolism and immune activity. The HPA axis feedback loop is completed when cortisol levels rise and signal the hypothalamus to reduce CRH production, which maintains an effective secretion loop.

What Causes High Cortisol Levels?

Cortisol is increased at times of stress for your body, but our bodies aren’t designed to handle long-term stress. When there’s too much cortisol or an excess amount of cortisol produced, it can cause major changes in your body’s everyday functions.

Chronic emotional or physical distress can lead to sustained high levels of cortisol as part of the body’s stress response system. Stress activates signals that prompt the adrenal glands to release hormones like adrenaline and cortisol, leading to an increased heart rate and heightened energy for the fight-or-flight response.

Cortisol temporarily suppresses non-essential functions such as digestion, reproduction and inflammation in the short term to prepare for danger. However, if stress is constant, this response can remain active, which can negatively impact many bodily functions such as sleep, weight management, memory, focus and mental health. Chronic stress can also increase the risk of anxiety, depression, digestive issues, headaches, muscle tension, pain and high blood pressure.

However, stress is not the only culprit for excess cortisol levels. It could indicate serious underlying health issues.

“You need to make sure that if you are having issues with cortisol levels that you don’t really have a tumor or something more serious. If you feel like you are having symptoms and they’re not resolved by implementing lifestyle changes, make sure you see a health care provider, because that could be something very different and it might need significant medical care,” Olenick said.

Cushing Syndrome

Cushing syndrome, also known as hypercortisolism, is characterized by excessive levels of cortisol in the body. Prolonged use of corticosteroid medications can result in exogenous Cushing syndrome, where the excess cortisol originates from external sources rather than the body’s own production. One common cause of high cortisol levels is the use of glucocorticoid medications, such as prednisone, which are prescribed for inflammatory conditions like asthma, rheumatoid arthritis and lupus.

“Sometimes people are on steroids such as prednisone for a different condition. When you’re taking steroids, if you start to show signs of serious cortisol issues, talk to your provider,” Olenick said.

Another significant cause of Cushing syndrome is pituitary tumors that secrete excessive amounts of ACTH, which overstimulates the adrenal glands to produce more cortisol. This form of Cushing syndrome, known as Cushing disease, is attributed to benign pituitary adenomas and accounts for a large proportion of cases in both adults and children. Effective management of Cushing syndrome involves addressing the underlying cause, which may include surgical removal of tumors or adjusting medication regimens to reduce cortisol levels and mitigate associated health challenges.

Adrenal gland tumors can also contribute to high cortisol levels. These tumors may be benign or malignant, leading to similar symptoms as those caused by pituitary tumors. Tumors affecting either the pituitary gland or adrenal glands can lead to elevated cortisol levels, but most of these tumors are noncancerous and may be manageable with proper medical care.

Understanding the underlying causes of high cortisol levels is crucial for appropriate diagnosis and treatment, as the medical implications of these conditions extend beyond the portrayals seen in popular media.

What Are Common Symptoms Of High Cortisol Levels?

Having the right cortisol balance is essential for your health, and producing too much or too little can cause health problems, including:

  • Puffiness or weight gain in the face
  • Weight gain in the midsection or abdomen
  • Excess fat behind the neck, above the back
  • Memory and concentration problems, or brain fog
  • Trouble sleeping, or insomnia
  • Severe fatigue
  • High blood pressure
  • Psychiatric disturbances

Symptoms may vary, so the only real way to validate if your cortisol levels are higher than normal is to get them checked, either with blood, urine or saliva tests. When Olenick evaluates cortisol levels in veterans for PTSD research, her preferred method is to collect samples of saliva. A saliva test can be conducted at home, but it’s most effective when collected at different times throughout the day.

How Can Someone Lower Their Cortisol Levels?

Maintaining a healthy diet, sticking to a regular sleep schedule and incorporating regular, moderate exercise can all help lower cortisol. It’s also important to manage stress effectively; this can involve finding healthy ways to cope with stress, such as talking to someone you trust or allowing yourself time to relax and unwind. Self-care is crucial—taking breaks and engaging in activities that rejuvenate you is not a waste of time but a necessary part of maintaining balance.

Avoid extreme measures like severe caloric restriction or high-intensity workouts, which can increase cortisol levels due to the stress they place on the body. Instead, go for low-intensity exercises like walking. Additionally, Olenick says natural remedies and supplements, such as apple cider vinegar and vitamins, may support cortisol management, but it’s wise to monitor their effects and consult with a health care provider if needed. Ultimately, finding a balance between self-care, stress management and maintaining a healthy lifestyle is key to controlling cortisol levels effectively.

“There are a lot of things you can do to regulate your cortisol, like eating well, sleeping well and lowering our stress. Basically, things to take care of ourselves,” Olenick said.

Olenick says social media platforms are great attention grabbers, but it’s important to take health trends with a grain of salt and pay attention to your body’s needs. If you relate to any of the symptoms and feel concerned about your cortisol levels, notify your health care provider and seek medical attention.

This article by Teresa Saenz originally appeared on Vital Record.

Unveiling the Uncommon: Cushing’s Syndrome (CS) Masquerading as Severe Hypokalemia

Abstract

Cushing’s syndrome (CS) arises from an excess of endogenous or exogenous cortisol, with Cushing’s disease specifically implicating a pituitary adenoma and exaggerated adrenocorticotropic hormone (ACTH) production. Typically, Cushing’s disease presents with characteristic symptoms such as weight gain, central obesity, moon face, and buffalo hump.

This case report presents an unusual manifestation of CS in a 48-year-old male with a history of hypertension, where severe hypokalemia was the primary presentation. Initial complaints included bilateral leg swelling, muscle weakness, occasional shortness of breath, and a general feeling of not feeling well. Subsequent investigations revealed hypokalemia, metabolic alkalosis, and an abnormal response to dexamethasone suppression, raising concerns about hypercortisolism. Further tests, including 24-hour urinary free cortisol and ACTH testing, confirmed significant elevations. Brain magnetic resonance imaging (MRI) identified a pituitary macroadenoma, necessitating neurosurgical intervention.

This case underscores the rarity of CS presenting with severe hypokalemia, highlighting the diagnostic challenges and the crucial role of a collaborative approach in managing such intricate cases.

Introduction

Cushing’s syndrome (CS), characterized by excessive cortisol production, is well-known for its diverse and often conspicuous clinical manifestations. Cushing’s disease is a subset of CS resulting from a pituitary adenoma overproducing adrenocorticotropic hormone (ACTH), leading to heightened cortisol secretion. The classic presentation involves a spectrum of symptoms such as weight gain, central obesity, muscle weakness, and mood alterations [1].

Despite its classic presentation, CS can demonstrate diverse and atypical features, challenging conventional diagnostic paradigms. This case report sheds light on a rare manifestation of CS, where severe hypokalemia was the primary clinical indicator. Notably, instances of CS prominently manifesting through severe hypokalemia are scarce in the literature [1,2].

Through this exploration, we aim to provide valuable insights into the diagnostic intricacies of atypical CS presentations, underscore the significance of a comprehensive workup, and emphasize the collaborative approach essential for managing such uncommon hormonal disorders.

Case Presentation

A 48-year-old male with a history of hypertension presented to his primary care physician with complaints of bilateral leg swelling, occasional shortness of breath, dizziness, and a general feeling of malaise persisting for 10 days. The patient reported increased water intake and urinary frequency without dysuria. The patient was diagnosed with hypertension eight months ago. He experienced progressive muscle weakness over two months, hindering his ability to perform daily activities, including using the bathroom. The primary care physician initiated a blood workup that revealed severe hypokalemia with a potassium level of 1.3 mmol/L (reference range: 3.6 to 5.2 mmol/L), prompting referral to the hospital.

Upon admission, the patient was hypertensive with a blood pressure of 180/103 mmHg, a heart rate of 71 beats/minute, a respiratory rate of 18 breaths/minute, and an oxygen saturation of 96% on room air. Physical examination revealed fine tremors, bilateral 2+ pitting edema in the lower extremities up to mid-shin, abdominal distension with normal bowel sounds, and bilateral reduced air entry in the bases of the lungs on auscultation. The blood work showed the following findings (Table 1).

Parameter Result Reference Range
Potassium (K) 1.8 mmol/L 3.5-5.0 mmol/L
Sodium (Na) 144 mmol/L 135-145 mmol/L
Magnesium (Mg) 1.3 mg/dL 1.7-2.2 mg/dL
Hemoglobin (Hb) 15.5 g/dL 13.8-17.2 g/dL
White blood cell count (WBC) 13,000 x 103/µL 4.5 to 11.0 × 109/L
Platelets 131,000 x 109/L 150-450 x 109/L
pH 7.57 7.35-7.45
Bicarbonate (HCO3) 46 mmol/L 22-26 mmol/L
Lactic acid 4.2 mmol/L 0.5-2.0 mmol/L
Table 1: Blood work findings

In order to correct the electrolyte imbalances, the patient received intravenous (IV) magnesium and potassium replacement and was later transitioned to oral. The patient was also started on normal saline at 100 cc per hour. To further investigate the complaint of shortness of breath, the patient underwent a chest X-ray, which revealed bilateral multilobar pneumonia (Figure 1). He was subsequently treated with ceftriaxone (1 g IV daily) and clarithromycin (500 mg twice daily) for seven days.

A-chest-X-ray-revealing-(arrows)-bilateral-multilobar-pneumonia
Figure 1: A chest X-ray revealing (arrows) bilateral multilobar pneumonia

With persistent abdominal pain and lactic acidosis, a computed tomography (CT) scan abdomen and pelvis with contrast was conducted, revealing a psoas muscle hematoma. Subsequent magnetic resonance imaging (MRI) depicted an 8×8 cm hematoma involving the left psoas and iliacus muscles. The interventional radiologist performed drainage of the hematoma involving the left psoas and iliacus muscles (Figure 2).

Magnetic-resonance-imaging-(MRI)-depicting-an-8x8-cm-hematoma-(arrow)-involving-the-left-psoas-and-iliacus-muscles
Figure 2: Magnetic resonance imaging (MRI) depicting an 8×8 cm hematoma (arrow) involving the left psoas and iliacus muscles

In light of the concurrent presence of hypokalemia, hypertension, and metabolic alkalosis, there arose concerns about Conn’s syndrome, prompting consultation with endocrinology. Their recommended workup for Conn’s syndrome included assessments of the aldosterone-renin ratio and random cortisol levels. The results unveiled an aldosterone level below 60 pmol/L (reference range: 190 to 830 pmol/L in SI units) and a plasma renin level of 0.2 pmol/L (reference range: 0.7 to 3.3 mcg/L/hr in SI units). Notably, the aldosterone-renin ratio was low, conclusively ruling out Conn’s syndrome. The random cortisol level was notably elevated at 1334 nmol/L (reference range: 140 to 690 nmol/L).

Furthermore, a low-dose dexamethasone suppression test was undertaken due to the high cortisol levels. Following the administration of 1 mg of dexamethasone at 10 p.m., cortisol levels were measured at 9 p.m., 3 a.m., and 9 a.m. the following day. The results unveiled a persistently elevated cortisol level surpassing 1655 nmol/L, signaling an abnormal response to dexamethasone suppression and raising concerns about a hypercortisolism disorder, such as CS.

In the intricate progression of this case, the investigation delved deeper with a 24-hour urinary free cortisol level, revealing a significant elevation at 521 mcg/day (reference range: 10 to 55 mcg/day). Subsequent testing of ACTH portrayed a markedly elevated level of 445 ng/L, distinctly exceeding the normal reference range of 7.2 to 63.3 ng/L. A high-dose 8 mg dexamethasone test was performed to ascertain the source of excess ACTH production. The baseline serum cortisol levels before the high-dose dexamethasone suppression test were 1404 nmol/L, which decreased to 612 nmol/L afterward, strongly suggesting the source of excess ACTH production to be in the pituitary gland.

A CT scan of the adrenal glands ruled out adrenal mass, while an MRI of the brain uncovered a 1.3×1.3×3.2 cm pituitary macroadenoma (Figure 3), leading to compression of adjacent structures. Neurosurgery was consulted, and they recommended surgical removal of the macroadenoma due to the tumor size and potential complications. The patient was referred to a tertiary care hospital for pituitary adenoma removal.

Magnetic-resonance-imaging-(MRI)-of-the-brain-depicting-a-1.3x1.3x3.2-cm-pituitary-macroadenoma-(star)
Figure 3: Magnetic resonance imaging (MRI) of the brain depicting a 1.3×1.3×3.2 cm pituitary macroadenoma (star)

Discussion

CS represents a complex endocrine disorder characterized by excessive cortisol production. While the classic presentation of CS includes weight gain, central obesity, and muscle weakness, our case highlights an uncommon initial manifestation: severe hypokalemia. This atypical presentation underscores the diverse clinical spectrum of CS and the challenges it poses in diagnosis and management [1,2].

While CS typically presents with the classic symptoms mentioned above, severe hypokalemia as the initial manifestation is exceedingly rare. Hypokalemia in CS often results from excess cortisol-mediated activation of mineralocorticoid receptors, leading to increased urinary potassium excretion and renal potassium wasting. Additionally, metabolic alkalosis secondary to cortisol excess further exacerbates hypokalemia [3,4].

Diagnosing a case of Cushing’s disease typically commences with a thorough examination of the patient’s medical history and a comprehensive physical assessment aimed at identifying characteristic manifestations such as central obesity, facial rounding, proximal muscle weakness, and increased susceptibility to bruising. Essential to confirming the diagnosis are laboratory examinations, which involve measuring cortisol levels through various tests, including 24-hour urinary free cortisol testing, late-night salivary cortisol testing, and dexamethasone suppression tests. Furthermore, assessing plasma ACTH levels aids in distinguishing between pituitary-dependent and non-pituitary causes of CS. Integral to the diagnostic process are imaging modalities such as MRI of the pituitary gland, which facilitate the visualization of adenomas and the determination of their size and precise location [1-4].

Treatment for Cushing’s disease primarily entails surgical removal of the pituitary adenoma via transsphenoidal surgery, with the aim of excising the tumor and restoring normal pituitary function. In cases where surgical intervention is unsuitable or unsuccessful, pharmacological therapies employing medications such as cabergoline (a dopamine receptor agonist) or pasireotide (a somatostatin analogue) may be considered to suppress ACTH secretion and regulate cortisol levels. Additionally, radiation therapy, whether conventional or stereotactic radiosurgery, serves as a supplementary or alternative treatment approach to reduce tumor dimensions and mitigate ACTH production [5,6]. To assess the effectiveness of treatment, manage any problem, and assure long-term illness remission, diligent long-term follow-up and monitoring are essential. Collaborative multidisciplinary care involving specialists such as endocrinologists, neurosurgeons, and other healthcare professionals is pivotal in optimizing patient outcomes and enhancing overall quality of life [2,4].

The prognosis of CS largely depends on the underlying cause, stage of the disease, and efficacy of treatment. Early recognition and prompt intervention are essential for improving outcomes and minimizing long-term complications. Surgical resection of the adrenal or pituitary tumor can lead to remission of CS in the majority of cases. However, recurrence rates vary depending on factors such as tumor size, invasiveness, and completeness of resection [2,3]. Long-term follow-up with endocrinologists is crucial for monitoring disease recurrence, assessing hormonal function, and managing comorbidities associated with CS.

Conclusions

In conclusion, our case report highlights the rarity of severe hypokalemia as the initial presentation of CS. This unique presentation underscores the diverse clinical manifestations of CS and emphasizes the diagnostic challenges encountered in clinical practice. A multidisciplinary approach involving endocrinologists, neurosurgeons, and radiologists is essential for the timely diagnosis and management of CS. Early recognition, prompt intervention, and long-term follow-up are essential for optimizing outcomes and improving the quality of life for patients with this endocrine disorder.

References

  1. Nieman LK, Biller BM, Findling JW, Newell-Price J, Savage MO, Stewart PM, Montori VM: The diagnosis of Cushing’s syndrome: an Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab. 2008, 93:1526-40. 10.1210/jc.2008-0125
  2. Newell-Price J, Bertagna X, Grossman AB, Nieman LK: Cushing’s syndrome. Lancet. 2006, 367:1605-17. 10.1016/S0140-6736(06)68699-6
  3. Torpy DJ, Mullen N, Ilias I, Nieman LK: Association of hypertension and hypokalemia with Cushing’s syndrome caused by ectopic ACTH secretion: a series of 58 cases. Ann N Y Acad Sci. 2002, 970:134-44. 10.1111/j.1749-6632.2002.tb04419.x
  4. Elias C, Oliveira D, Silva MM, Lourenço P: Cushing’s syndrome behind hypokalemia and severe infection: a case report. Cureus. 2022, 14:e32486. 10.7759/cureus.32486
  5. Fleseriu M, Petersenn S: Medical therapy for Cushing’s disease: adrenal steroidogenesis inhibitors and glucocorticoid receptor blockers. Pituitary. 2015, 18:245-52. 10.1007/s11102-014-0627-0
  6. Pivonello R, De Leo M, Cozzolino A, Colao A: The treatment of Cushing’s disease. Endocr Rev. 2015, 36:385-486. 10.1210/er.2013-1048

Unveiling the Uncommon: Cushing’s Syndrome (CS) Masquerading as Severe Hypokalemia

Abstract

Cushing’s syndrome (CS) arises from an excess of endogenous or exogenous cortisol, with Cushing’s disease specifically implicating a pituitary adenoma and exaggerated adrenocorticotropic hormone (ACTH) production. Typically, Cushing’s disease presents with characteristic symptoms such as weight gain, central obesity, moon face, and buffalo hump.

This case report presents an unusual manifestation of CS in a 48-year-old male with a history of hypertension, where severe hypokalemia was the primary presentation. Initial complaints included bilateral leg swelling, muscle weakness, occasional shortness of breath, and a general feeling of not feeling well. Subsequent investigations revealed hypokalemia, metabolic alkalosis, and an abnormal response to dexamethasone suppression, raising concerns about hypercortisolism. Further tests, including 24-hour urinary free cortisol and ACTH testing, confirmed significant elevations. Brain magnetic resonance imaging (MRI) identified a pituitary macroadenoma, necessitating neurosurgical intervention.

This case underscores the rarity of CS presenting with severe hypokalemia, highlighting the diagnostic challenges and the crucial role of a collaborative approach in managing such intricate cases.

Introduction

Cushing’s syndrome (CS), characterized by excessive cortisol production, is well-known for its diverse and often conspicuous clinical manifestations. Cushing’s disease is a subset of CS resulting from a pituitary adenoma overproducing adrenocorticotropic hormone (ACTH), leading to heightened cortisol secretion. The classic presentation involves a spectrum of symptoms such as weight gain, central obesity, muscle weakness, and mood alterations [1].

Despite its classic presentation, CS can demonstrate diverse and atypical features, challenging conventional diagnostic paradigms. This case report sheds light on a rare manifestation of CS, where severe hypokalemia was the primary clinical indicator. Notably, instances of CS prominently manifesting through severe hypokalemia are scarce in the literature [1,2].

Through this exploration, we aim to provide valuable insights into the diagnostic intricacies of atypical CS presentations, underscore the significance of a comprehensive workup, and emphasize the collaborative approach essential for managing such uncommon hormonal disorders.

Case Presentation

A 48-year-old male with a history of hypertension presented to his primary care physician with complaints of bilateral leg swelling, occasional shortness of breath, dizziness, and a general feeling of malaise persisting for 10 days. The patient reported increased water intake and urinary frequency without dysuria. The patient was diagnosed with hypertension eight months ago. He experienced progressive muscle weakness over two months, hindering his ability to perform daily activities, including using the bathroom. The primary care physician initiated a blood workup that revealed severe hypokalemia with a potassium level of 1.3 mmol/L (reference range: 3.6 to 5.2 mmol/L), prompting referral to the hospital.

Upon admission, the patient was hypertensive with a blood pressure of 180/103 mmHg, a heart rate of 71 beats/minute, a respiratory rate of 18 breaths/minute, and an oxygen saturation of 96% on room air. Physical examination revealed fine tremors, bilateral 2+ pitting edema in the lower extremities up to mid-shin, abdominal distension with normal bowel sounds, and bilateral reduced air entry in the bases of the lungs on auscultation. The blood work showed the following findings (Table 1).

Parameter Result Reference Range
Potassium (K) 1.8 mmol/L 3.5-5.0 mmol/L
Sodium (Na) 144 mmol/L 135-145 mmol/L
Magnesium (Mg) 1.3 mg/dL 1.7-2.2 mg/dL
Hemoglobin (Hb) 15.5 g/dL 13.8-17.2 g/dL
White blood cell count (WBC) 13,000 x 103/µL 4.5 to 11.0 × 109/L
Platelets 131,000 x 109/L 150-450 x 109/L
pH 7.57 7.35-7.45
Bicarbonate (HCO3) 46 mmol/L 22-26 mmol/L
Lactic acid 4.2 mmol/L 0.5-2.0 mmol/L
Table 1: Blood work findings

In order to correct the electrolyte imbalances, the patient received intravenous (IV) magnesium and potassium replacement and was later transitioned to oral. The patient was also started on normal saline at 100 cc per hour. To further investigate the complaint of shortness of breath, the patient underwent a chest X-ray, which revealed bilateral multilobar pneumonia (Figure 1). He was subsequently treated with ceftriaxone (1 g IV daily) and clarithromycin (500 mg twice daily) for seven days.

A-chest-X-ray-revealing-(arrows)-bilateral-multilobar-pneumonia
Figure 1: A chest X-ray revealing (arrows) bilateral multilobar pneumonia

With persistent abdominal pain and lactic acidosis, a computed tomography (CT) scan abdomen and pelvis with contrast was conducted, revealing a psoas muscle hematoma. Subsequent magnetic resonance imaging (MRI) depicted an 8×8 cm hematoma involving the left psoas and iliacus muscles. The interventional radiologist performed drainage of the hematoma involving the left psoas and iliacus muscles (Figure 2).

Magnetic-resonance-imaging-(MRI)-depicting-an-8x8-cm-hematoma-(arrow)-involving-the-left-psoas-and-iliacus-muscles
Figure 2: Magnetic resonance imaging (MRI) depicting an 8×8 cm hematoma (arrow) involving the left psoas and iliacus muscles

In light of the concurrent presence of hypokalemia, hypertension, and metabolic alkalosis, there arose concerns about Conn’s syndrome, prompting consultation with endocrinology. Their recommended workup for Conn’s syndrome included assessments of the aldosterone-renin ratio and random cortisol levels. The results unveiled an aldosterone level below 60 pmol/L (reference range: 190 to 830 pmol/L in SI units) and a plasma renin level of 0.2 pmol/L (reference range: 0.7 to 3.3 mcg/L/hr in SI units). Notably, the aldosterone-renin ratio was low, conclusively ruling out Conn’s syndrome. The random cortisol level was notably elevated at 1334 nmol/L (reference range: 140 to 690 nmol/L).

Furthermore, a low-dose dexamethasone suppression test was undertaken due to the high cortisol levels. Following the administration of 1 mg of dexamethasone at 10 p.m., cortisol levels were measured at 9 p.m., 3 a.m., and 9 a.m. the following day. The results unveiled a persistently elevated cortisol level surpassing 1655 nmol/L, signaling an abnormal response to dexamethasone suppression and raising concerns about a hypercortisolism disorder, such as CS.

In the intricate progression of this case, the investigation delved deeper with a 24-hour urinary free cortisol level, revealing a significant elevation at 521 mcg/day (reference range: 10 to 55 mcg/day). Subsequent testing of ACTH portrayed a markedly elevated level of 445 ng/L, distinctly exceeding the normal reference range of 7.2 to 63.3 ng/L. A high-dose 8 mg dexamethasone test was performed to ascertain the source of excess ACTH production. The baseline serum cortisol levels before the high-dose dexamethasone suppression test were 1404 nmol/L, which decreased to 612 nmol/L afterward, strongly suggesting the source of excess ACTH production to be in the pituitary gland.

A CT scan of the adrenal glands ruled out adrenal mass, while an MRI of the brain uncovered a 1.3×1.3×3.2 cm pituitary macroadenoma (Figure 3), leading to compression of adjacent structures. Neurosurgery was consulted, and they recommended surgical removal of the macroadenoma due to the tumor size and potential complications. The patient was referred to a tertiary care hospital for pituitary adenoma removal.

Magnetic-resonance-imaging-(MRI)-of-the-brain-depicting-a-1.3x1.3x3.2-cm-pituitary-macroadenoma-(star)
Figure 3: Magnetic resonance imaging (MRI) of the brain depicting a 1.3×1.3×3.2 cm pituitary macroadenoma (star)

Discussion

CS represents a complex endocrine disorder characterized by excessive cortisol production. While the classic presentation of CS includes weight gain, central obesity, and muscle weakness, our case highlights an uncommon initial manifestation: severe hypokalemia. This atypical presentation underscores the diverse clinical spectrum of CS and the challenges it poses in diagnosis and management [1,2].

While CS typically presents with the classic symptoms mentioned above, severe hypokalemia as the initial manifestation is exceedingly rare. Hypokalemia in CS often results from excess cortisol-mediated activation of mineralocorticoid receptors, leading to increased urinary potassium excretion and renal potassium wasting. Additionally, metabolic alkalosis secondary to cortisol excess further exacerbates hypokalemia [3,4].

Diagnosing a case of Cushing’s disease typically commences with a thorough examination of the patient’s medical history and a comprehensive physical assessment aimed at identifying characteristic manifestations such as central obesity, facial rounding, proximal muscle weakness, and increased susceptibility to bruising. Essential to confirming the diagnosis are laboratory examinations, which involve measuring cortisol levels through various tests, including 24-hour urinary free cortisol testing, late-night salivary cortisol testing, and dexamethasone suppression tests. Furthermore, assessing plasma ACTH levels aids in distinguishing between pituitary-dependent and non-pituitary causes of CS. Integral to the diagnostic process are imaging modalities such as MRI of the pituitary gland, which facilitate the visualization of adenomas and the determination of their size and precise location [1-4].

Treatment for Cushing’s disease primarily entails surgical removal of the pituitary adenoma via transsphenoidal surgery, with the aim of excising the tumor and restoring normal pituitary function. In cases where surgical intervention is unsuitable or unsuccessful, pharmacological therapies employing medications such as cabergoline (a dopamine receptor agonist) or pasireotide (a somatostatin analogue) may be considered to suppress ACTH secretion and regulate cortisol levels. Additionally, radiation therapy, whether conventional or stereotactic radiosurgery, serves as a supplementary or alternative treatment approach to reduce tumor dimensions and mitigate ACTH production [5,6]. To assess the effectiveness of treatment, manage any problem, and assure long-term illness remission, diligent long-term follow-up and monitoring are essential. Collaborative multidisciplinary care involving specialists such as endocrinologists, neurosurgeons, and other healthcare professionals is pivotal in optimizing patient outcomes and enhancing overall quality of life [2,4].

The prognosis of CS largely depends on the underlying cause, stage of the disease, and efficacy of treatment. Early recognition and prompt intervention are essential for improving outcomes and minimizing long-term complications. Surgical resection of the adrenal or pituitary tumor can lead to remission of CS in the majority of cases. However, recurrence rates vary depending on factors such as tumor size, invasiveness, and completeness of resection [2,3]. Long-term follow-up with endocrinologists is crucial for monitoring disease recurrence, assessing hormonal function, and managing comorbidities associated with CS.

Conclusions

In conclusion, our case report highlights the rarity of severe hypokalemia as the initial presentation of CS. This unique presentation underscores the diverse clinical manifestations of CS and emphasizes the diagnostic challenges encountered in clinical practice. A multidisciplinary approach involving endocrinologists, neurosurgeons, and radiologists is essential for the timely diagnosis and management of CS. Early recognition, prompt intervention, and long-term follow-up are essential for optimizing outcomes and improving the quality of life for patients with this endocrine disorder.

References

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