Abstract
Filed under: Cushing's, pituitary, Rare Diseases | Tagged: Acromegaly, cortisol, Cushing's Disease, dexamethasone suppression test, diabetes mellitus, growth hormone, hypertension, MRI, Pituitary adenoma | Leave a comment »
Filed under: Cushing's, pituitary, Rare Diseases | Tagged: Acromegaly, cortisol, Cushing's Disease, dexamethasone suppression test, diabetes mellitus, growth hormone, hypertension, MRI, Pituitary adenoma | Leave a comment »
Pituitary surgical intervention remains the preferred treatment for Cushing’s disease (CD) while postoperative venous thromboembolism (VTE) is a significant risk. Whether to prescribe pharmacological thromboprophylaxis presents a clinical dilemma, balancing the benefit of reducing VTE risk with the potential for increasing hemorrhagic events in these patients. Currently, strong evidence and established protocols for routine pharmacological thromboprophylaxis in this population are lacking. Therefore, a randomized, controlled trial is warranted to determine the efficacy and safety of combined pharmacological and mechanical thromboprophylaxis in reducing postoperative VTE risk in patients with CD.
This investigator-initiated, multi-center, prospective, randomized, open-label trial with blinded outcome assessment aims to evaluate the efficacy and safety of combined pharmacological and mechanical thromboprophylaxis compared to mechanical thromboprophylaxis alone in postoperative patients with CD. A total of 206 patients diagnosed with CD who will be undergoing transsphenoidal surgery will be randomized in a 1:1 ratio to receive either combined pharmacological and mechanical thromboprophylaxis (intervention) or mechanical thromboprophylaxis only (control). The primary outcome is the risk of VTE within 12 weeks following surgery.
This trial represents a significant milestone in evaluating the efficacy of combined pharmacological and mechanical prophylaxis in reducing VTE events in postoperative CD patients.
ClinicalTrials.gov Identifier: NCT04486859, first registered on 22 July 2020.
Note: the numbers in curly brackets in this protocol refer to SPIRIT checklist item numbers. The order of the items has been modified to group similar items (see http://www.equator-network.org/reporting-guidelines/spirit-2013-statement-defining-standard-protocol-items-for-clinical-trials/).
| Title {1} | Postoperative Initiation of Thromboprophylaxis in patients with Cushing’s Disease (PIT-CD): a randomized control trial |
| Trial registration {2a and 2b} | ClinicalTrials.gov Identifier: NCT04486859, first registered on 22 July 2020
WHO Trial Registration Data Set (Supplement) |
| Protocol version {3} | Date: 1 July 2021, Version 5.0 |
| Funding {4} | The trial is supported by Clinical Research Plan of SHDC (SHDC2020CR2004A). |
| Author details {5a} | Nidan Qiao, Min He, Zhao Ye, Wei Gong, Zengyi Ma, Yifei Yu, Zhenyu Wu, Lin Lu, Huijuan Zhu, Yong Yao, Zhihong Liao, Haijun Wang, Huiwen Tan, Bowen Cai, Yerong Yu, Ting Lei, Yan Yang, Changzhen Jiang, Xiaofang Yan, Yanying Guo, Yuan Chen, Hongying Ye, Yongfei Wang, Nicholas A. Tritos, Zhaoyun Zhang, Yao Zhao. |
| Name and contact information for the trial sponsor {5b} | Investigator initiated trial, principal investigators, post-production correspondence:
Yao Zhao (YZ), Department of Neurosurgery, Huashan Hospital, Fudan University, 12 mid Wulumuqi Rd, Shanghai 200040, China. Email: zhaoyao@huashan.org.cn Zhaoyun Zhang (ZZ), Department of Endocrinology, Huashan Hospital, Fudan University, 12 mid Wulumuqi Rd, Shanghai 200040, China. Email: zhangzhaoyun@fudan.edu.cn |
| Role of sponsor {5c} | The trial sponsor holds responsibility for all key elements of the trial’s execution, including its design, data collection, management, analysis, interpretation of results, and reporting. An independent Data Safety Monitoring Board monitors data safety and participant protection to ensure the trial’s integrity and the safety of participants. |
Cushing’s disease (CD) is characterized by hypercortisolism resulting from an adrenocorticotropic hormone-secreting pituitary adenoma [1]. Tumor-directed surgical intervention remains the preferred treatment for this condition. Patients with Cushing’s disease commonly experience a hypercoagulable state due to activation of the coagulation system [2], suppression of anticoagulation and fibrinolytic pathways, and enhanced platelet activation, significantly increasing their risk of venous thromboembolism (VTE). Postoperative VTE risk is further exacerbated by factors such as intravenous medications, blood loss, and prolonged bed rest. Multiple studies report postoperative VTE risks in patients with CD ranging from 3 to 20% [2,3,4,5].
The Endocrine Society and Pituitary Society recommends considering perioperative thromboprophylaxis as a strategy to reduce VTE risk in patients with CD [1, 6]. However, this recommendation was based on a single study that investigated perioperative prophylactic anticoagulation in patients with Cushing’s syndrome [7]. The study was limited by its small sample size, single-center nature, and retrospective design. Crucial details such as the optimal timing for initiation, choice of anticoagulant, and duration of therapy were not established. Recent surveys of European and US centers indicate that thromboprophylaxis protocols are not routinely employed, and there is considerable heterogeneity in prophylactic practices across centers [8, 9].
The primary risk associated with thromboprophylaxis is postoperative hemorrhage. In patients with CD, although the risk of bleeding is significantly lower than after a typical craniotomy, complications such as intrasellar hemorrhage and nasal bleeding may still occur. Due to its retrospective nature, the aforementioned study cannot conclusively determine whether the benefits of thromboprophylaxis outweigh its risks. Consequently, guidelines from hematology and neurosurgical societies have concluded that the current evidence is insufficient to support a standardized VTE prophylaxis regimen for neurosurgical patients [10,11,12]. Nevertheless, both the American Society of Hematology and European guidelines suggest that a combination of pharmacological and mechanical prophylaxis may be justified for higher-risk subgroups [10, 13].
Due to conflicting recommendations and lack of a definitive study to determine whether the benefits outweigh the risks regarding the use of pharmacological antithrombotic prophylaxis in patients with CD following pituitary surgery, we initiated this study, called Postoperative Initiation of Thromboprophylaxis in Patients with Cushing’s Disease (PIT-CD). The aim of this study is to evaluate whether the combined use of pharmacological and mechanical prophylaxis reduces VTE events compared to mechanical prophylaxis alone in postoperative CD patients.
Our hypothesis was that pharmacological prophylaxis in combination with intermittent pneumatic compression would be superior to intermittent pneumatic compression alone.
The PIT-CD study is an open-label, multicenter, prospective, randomized clinical trial with open-label treatment designed to assess the efficacy of combined pharmacological and mechanical prophylaxis compared to mechanical prophylaxis alone. Patients are randomized in a 1:1 ratio. The patient flow is illustrated in Fig. 1.
This study was initiated in tertiary centers across China with expertise in managing patients with CD. Currently, seven centers (see Supplements) are actively recruiting patients for the study.
Patients are eligible for inclusion if they meet the following criteria:
A diagnosis of CD is confirmed based on the following criteria:
Patients are diagnosed with CD if both criteria A and B are met, in addition to either C or D. In patients with tumors smaller than 6 mm on MRI, IPSS indicating a central source is essential.
Patients will be excluded from the study if they meet any of the following criteria:
Patients with CD are provided with detailed information about the clinical trial, including known and foreseeable risks and potential adverse events. Investigators are required to thoroughly explain these details to the patients or their guardians if the patients lack capacity to provide consent. Following a comprehensive explanation and discussion, both the patients or their guardians and the investigators sign and date the informed consent form.
N/A. Biological specimens are unnecessary in this trial. Participant data was not intended to be included in any other ancillary studies.
Participants in the control arm of the study will be required to use a limb compression system twice daily, for 30 min each session, from the 2nd to the 7th day post-surgery. The intermittent pneumatic compression devices are the standard of care in the prevention deep vein thrombosis in many literatures [14, 15].
Participants in the intervention arm of the study will be required to use the same limb compression system, also for 30 min twice daily from the 2nd to the 7th day post-surgery. Additionally, participants will receive subcutaneous injections of low molecular weight heparin (4000 IU) once daily from the 2nd to the 4th day post-surgery. Starting on the 5th day and continuing through the 28th day post-surgery, participants will take oral rivaroxaban tablets (10 mg) once daily.
Participants have the right to withdraw their consent at any time without providing a reason, thereby terminating their participation in the study. Any withdrawal and the reasons, if known, will be documented. Criteria for premature termination include the following: occurrence of the primary outcome (patients will still be monitored for safety for 12 weeks), failure to meet inclusion criteria, fulfillment of exclusion criteria, or loss of contact.
Several strategies will be employed to maintain adherence to interventions in this trial. Participants will receive thorough preoperative education on the importance of pharmacological and mechanical prophylaxis in preventing VTE if they are assigned to the intervention arm or the importance of mechanical prophylaxis if they are assigned to the control arm. Detailed instructions on the use of the limb compression system and administration of rivaroxaban will be provided. Pill counts will be performed to document adherence in the intervention group.
N/A. Participants in both groups will receive treatment according to the current standard-of-care.
Participants experiencing adverse events will be followed until the events are resolved. Other participants will be regularly followed in accordance with clinical routine clinical practice. Participants in the trial are compensated in the event of trial-associated harms.
The primary outcome of the study is the risk of venous thromboembolism (VTE) within 12 weeks after surgery. VTE is defined as either deep vein thrombosis (DVT) or pulmonary embolism (PE), regardless of whether the cases are symptomatic or asymptomatic.
The secondary outcomes are as follows: (1) risk of DVT within 12 weeks after surgery; (2) risk of PE within 12 weeks after surgery; (3) risk of symptomatic DVT, symptomatic PE, or symptomatic VTE within 12 weeks after surgery; (4) risk of VTE-associated mortality within 12 weeks after surgery; (5) risk of all-cause mortality within 12 weeks after surgery.
“Symptomatic” is defined as the presence of one or more of the following symptoms attributed to VTE: pain or swelling in the affected leg; chest pain, dyspnea, or decreased oxygen saturation.
Safety outcomes include the following: (1) major bleeding; (2) minor bleeding; (3) hemorrhage-associated surgery; (4) hemorrhage-associated readmission; (5) coagulation disorders (APTT or INR > 2.5 normal upper boundary); (6) thrombocytopenia; (7) increase in liver function tests.
Major bleeding is defined according to the Subcommittee on Control of Anticoagulation of the Scientific and Standardization Committee of the International Society on Thrombosis and Haemostasis [16]. This includes fatal bleeding; bleeding that is symptomatic and occurs in a critical area or organ; extrasurgical site bleeding causing a fall in hemoglobin level of 20 g/L or more, or leading to transfusion of two or more units of whole blood or red cells; surgical site bleeding that requires a second intervention.
A schema of all trial procedures and clinical visits is summarized in Table 1.
Our estimates are based on a retrospective study examining the effects of preventive anticoagulation during the perioperative period in Cushing syndrome [7]. This study reported that the risk of postoperative VTE was lower in patients receiving preventive anticoagulants (6%) compared to those who did not (20%). Therefore, we assume that the risk of the primary outcome in the control group is 20%, while in the intervention group it is 5% within 12 weeks. Based on these assumptions, we calculated the required sample size for each group to be is 93 using PASS software, with an alpha level of 0.05 and a power of 0.9. Accounting for an estimated 10% dropout rate, the total number of patients required is 206.
Clinical investigators will receive training on communicating with potential patients and their relatives, documenting screening logs, and other standard operating procedures during the kick-off meeting at each participating center. All centers will recruit patients competitively, and recruitment progress will be monitored to track the process. The estimated recruitment rate is 8 to 10 patients per month, with an expected recruitment period of 2 years.
The randomization procedure is computer- and web-based, and is stratified by age (≤ 35 years old vs. > 35 years old), sex (female vs. male) and disease duration (≤ 2 years vs. > 2 years).
Participants are randomized using a web-based randomization system (edc.fudan.edu.cn). This system maintains allocation concealment by withholding the randomization code until screening is complete.
Investigators will enroll participants, with the stratified block algorithms generating a random allocation sequence. Participant assignment through the randomization system is not subject to influence by the clinical investigators.
This is an open-label trial, meaning that both the treating physicians and the participants are aware of the treatment allocation. However, a separate group of clinical outcome assessors (Clinical Event Committee, CEC), who are blinded to the treatment allocation, will determine the clinical outcomes. Similarly, lower limbs ultrasound and pulmonary computed tomography angiography (CTA) assessments will be adjudicated by an Independent Review Committee (IRC) that is blinded to the treatment allocation. Statisticians remain blinded to treatment allocation prior to the final analysis, and the interim analyses will be conducted by a separate team from the one undertaking the final analysis.
N/A. The design is open label.
Deep vein thrombosis (DVT) will be assessed using bilateral lower limb ultrasound. Asymptomatic participants will undergo evaluation at prespecified intervals (day 4, day 7, week 4, and week 12 post-intervention), while symptomatic individuals will receive immediate imaging upon presentation of clinical manifestations such as unilateral or bilateral lower extremity edema or pain. Pulmonary embolism (PE) screening will be performed via pulmonary computed tomography angiography (CTA) at day 7 in asymptomatic cases, with expedited assessment triggered by acute symptoms (e.g., chest pain, dyspnea) or radiographic evidence of DVT detected during lower limb ultrasonography. These events will be adjudicated by an Independent Review Committee (IRC). A CEC will be convened to assess other outcomes.
The initial intervention for participants takes place during the patient’s inpatient stay, during which researchers will provide detailed information about the required procedures. Participants will undergo routine follow-up at 4 weeks and 12 weeks post-surgery, with VTE-related follow-up arranged during these routine visits. Transportation and examination expenses for follow-up visits are reimbursable.
Data of those who discontinue will also be documented.
Data will be kept, both on paper and in electronic databases, for at least 5 years. Data will be entered by clinical investigators using electronic case report forms (eCRFs) on a web-based platform (http://crip-ec.shdc.org.cn). The investigators will be introduced to the platform and trained in data entry during the initial kick-off meeting before the recruitment of the first study participant. Access to the study database will be restricted to authorized clinical investigators, who will use a personal ID and password to gain entry.
When adding a new participant to the database, identifying data (e.g., Chinese name) are entered on a form that is printed but not saved on the server. On this form, participants will be represented by a unique ID. The printed form is kept in a locked space accessible only to the principal investigator and may be used to unblind personal data if necessary.
N/A. There will be no biological specimens collected.
The primary analysis will be conducted on the full analysis data set, adhering to the intention-to-treat principle, which includes all patients randomized in the study. Generalized linear models (GLMs) with binomial distribution will be employed to analyze primary, secondary, and safety outcomes. Treatment effects for these outcomes will be quantified as risk differences (RDs) with corresponding 95% confidence intervals (CIs). Additionally, odds ratios with 95% confidence intervals will be calculated using a logistic regression model, and hazard ratios with 95% confidence intervals will be calculated using a Cox Proportional model.
Safety analyses will be based on all randomized patients who have received the study treatment. The risk and percentages of adverse events (AEs) and serious adverse events (SAEs) will be summarized by treatment group. Instances of subject death will be summarized and listed. All analyses will be performed using the SAS system, version 9.4.
The Data Safety Monitoring Board (DSMB) plans to convene the interim analysis meeting after randomization and 12-week follow-up visits are completed for 103 participants. The significance level for interim analysis (primary outcome) is set at 0.001 according to the Haybittle–Peto boundary principle.
Based on these analyses, the DSMB will advise the steering committee on whether the randomized comparisons in this study have demonstrated a clear benefit of the intervention. If the p-values from the interim analysis for both groups are less than 0.001, recruitment will be halted, and the study will meet the criteria for early termination. If the p-values are greater than or equal to 0.001, recruitment will continue until the planned sample size is achieved, with the final analysis significance level set at 0.049.
For both primary and secondary outcomes, pre-specified subgroup analyses will be conducted based on sex, age, disease duration, and magnitude of urine free cortisol elevation.
The primary analysis will be conducted on the intention-to-treat data set, which includes all randomized patients and is based on the treatment arm to which they were assigned, regardless of the therapy they actually received. A per-protocol analysis will also be performed to account for non-adherence. If appropriate, multiple imputation will be used to address any missing data in the dataset. The prespecified statistical analysis plan (SAP), developed by independent biostatisticians blinded to treatment allocation, will be prospectively registered on ClinicalTrials.gov prior to database lock.
The trial was prospectively registered in ClinicalTrials.gov with the Identifier NCT04486859. Updates to reflect significant protocol amendments will be submitted. The statistical analysis protocol will also be updated prior to database locking. The datasets and statistical code are available from the corresponding author upon reasonable request.
The trial steering committee is composed of four Chinese experts and two international experts from outside of China. Investigators in participating centers are required to attend a training course during a kick-off event organized by the principal investigator. Each investigator must confirm that they have been properly introduced to trial-specific procedures. An IRC will adjudicate primary outcomes. An independent CEC will be responsible for ensuring high-quality outcomes and minimizing inconsistencies or bias in the clinical trial data.
The Data Safety Monitoring Board (DSMB) consists of three members, including one statistician. The DSMB will regularly receive blinded statistical reports and monitor serious adverse events throughout the trial to assess patient safety and determine if the trial should be terminated prematurely due to safety concerns.
An initial DSMB meeting will be conducted to ensure that DSMB members fully understand the research protocol, review and approve the DSMB charter, assess the monitoring plans for safety and efficacy data, and discuss the statistical methods, including stopping rules. A second DSMB meeting will be conducted to review the interim analysis. The interim analyses and the treatment allocation data will be provided by an independent trial statistician and provided confidentially to the DSMB chairman. An ad hoc DSMB meeting may be convened by either the principal investigators or the DSMB if imminent safety issues arise during the trial.
Adverse events (AEs) and serious adverse events (SAEs) are defined according to the ICH GCP guidelines. All AEs and SAEs reported by study participants or observed by investigators within the study period must be documented in the eCRF and reported to the DSMB. Additionally, SAEs must be reported to the IRB.
Anticipated adverse events, including both major and minor bleeding events (e.g., epistaxis necessitating readmission), as well as coagulation disorders, thrombocytopenia, and elevated liver function tests, will be prospectively monitored in all trial participants. Unanticipated adverse events (not pre-specified in Section {12}) will be captured through spontaneous reporting. All adverse event data will be classified and graded according to the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0 to ensure consistency. For reporting, we will disclose all protocol-specified adverse events from Section {12}, alongside any unanticipated events higher than Grade 3.
The trial conduct will be regularly audited to ensure compliance with the study protocol and Good Clinical Practice guidelines. Audits will be conducted by independent monitors from Shanghai Shenkang Hospital Developing Centers. These audits will involve reviewing study documentation, informed consent forms, source data verification, and adherence to the protocol. Audits will also assess data entry accuracy and the overall management of the trial. The frequency of these audits will be determined based on the recruitment rate, safety concerns, and previous audit findings.
Any modifications to the study protocol will require protocol amendments, which will be promptly submitted for approval to the Institutional Review Board. These changes will only be implemented after receiving approval from the Institutional Review Board. Once approved, ClinicalTrials.gov will be updated to reflect any significant changes. If necessary, protocol training to implement the amendments will be provided by the study team to participating centers.
After database closure and data analysis, the trial statistician will prepare a report detailing the main study results. Following this, a meeting of the investigators will be convened to discuss the findings before drafting a scientific manuscript for peer review and publication in a major scientific journal. Additionally, efforts will be made to present the results at key international conferences of neuroendocrine societies.
This trial represents a significant milestone in evaluating the efficacy of combined pharmacological and mechanical prophylaxis in reducing VTE events in postoperative CD patients. To date, no similar randomized controlled trials have addressed this specific clinical question.
Transnasal transsphenoidal pituitary tumor resection is the preferred surgical approach for patients with CD. Compared to craniotomy, transsphenoidal surgery has a significantly lower risk of bleeding. The published literature indicates a bleeding risk of 0.02% following transsphenoidal surgery [17], whereas the incidence of intracranial hemorrhage after craniotomy ranges from 1% to 1.5% [18]. Therefore, for clinical practicality and safety, this study will exclusively include patients undergoing transsphenoidal resection.
Early meta-analyses indicated that low molecular weight heparin is generally safer, with a relatively lower bleeding risk compared to rivaroxaban, particularly when used for thrombosis prevention after hip and knee replacement surgeries [19]. However, recent studies have shown that rivaroxaban may have no significant difference in major bleeding and non-major bleeding risks compared to enoxaparin in thromboprophylaxis following non-major orthopedic surgeries of the lower limbs [20]. Given the risk of postoperative bleeding and the potential bleeding side effects of oral medications, LMWH was chosen for initial postoperative treatment because of its relatively lower bleeding risk. As patients prepare for discharge, the more convenient oral medication was selected for ongoing prophylaxis.
Patients who develop early VTE on the first day after surgery or despite anticoagulant use will be included in a further post hoc analysis. This will help identify risk factors for VTE. This analysis will aim to determine why VTE occurred despite anticoagulant use and explore whether specific factors, such as hypertension, diabetes, body mass index, or disease duration, are associated with increased risk. Based on our findings, recommendations may include earlier initiation of prophylaxis, dosage adjustments, or extended duration of treatment for high-risk patients.
This protocol is based on trial protocol version 5.0, dated July 1, 2021. The first patient was enrolled in December 2020, and the final patient is expected to be enrolled by the end of 2024. While the original plan anticipated completing recruitment by December 2022, the COVID-19 pandemic significantly impacted many districts and cities in China, leading to lockdowns that have severely delayed the implementation and recruitment for this trial.
Data will be made available from the corresponding author upon reasonable request.
Fleseriu M, Auchus R, Bancos I, Ben-Shlomo A, Bertherat J, Biermasz NR, et al. Consensus on diagnosis and management of Cushing’s disease: a guideline update. Lancet Diabetes Endocrinol. 2021;9(12):847–75. https://doi.org/10.1016/S2213-8587(21)00235-7.
Feelders RA, Nieman LK. Hypercoagulability in Cushing’s syndrome: incidence, pathogenesis and need for thromboprophylaxis protocols. Pituitary. 2022;25(5):746–9. https://doi.org/10.1007/s11102-022-01261-9.
White AJ, Almeida JP, Filho LM, Oyem P, Obiri-Yeboah D, Yogi-Morren D, et al. Venous Thromboembolism and Prevention Strategies in Patients with Cushing’s Disease: A Systematic Review. World Neurosurg. 2024;S1878–8750(24):01460–8. https://doi.org/10.1016/j.wneu.2024.08.090.
Waqar M, Chadwick A, Kersey J, Horner D, Kearney T, Karabatsou K, et al. Venous thromboembolism chemical prophylaxis after endoscopic trans-sphenoidal pituitary surgery. Pituitary. 2022;25(2):267–74. https://doi.org/10.1007/s11102-021-01195-8.
Wagner J, Langlois F, Lim DST, McCartney S, Fleseriu M. Hypercoagulability and Risk of Venous Thromboembolic Events in Endogenous Cushing’s Syndrome: A Systematic Meta-Analysis. Front Endocrinol (Lausanne). 2019;9:805. https://doi.org/10.3389/fendo.2018.00805.
Nieman LK, Biller BM, Findling JW, Murad MH, Newell-Price J, Savage MO, et al. Treatment of Cushing’s Syndrome: An Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab. 2015;100(8):2807–31. https://doi.org/10.1210/jc.2015-1818.
Boscaro M, Sonino N, Scarda A, Barzon L, Fallo F, Sartori MT, et al. Anticoagulant prophylaxis markedly reduces thromboembolic complications in Cushing’s syndrome. J Clin Endocrinol Metab. 2002;87(8):3662–6. https://doi.org/10.1210/jcem.87.8.8703.
White AJ, Almeida JP, Petitt JC, Yogi-Morren D, Recinos PF, Kshettry VR. Significant Variability in Postoperative Thromboprophylaxis in Cushing’s Disease Patients: A Survey of the North American Skull Base Society and the AANS/CNS Joint Tumor Section. J Neurol Surg B Skull Base. 2023;85(5):540–5. https://doi.org/10.1055/s-0043-1772698.
Isand K, Feelders R, Brue T, Toth M, Deutschbein T, Reincke M, et al. High prevalence of venous thrombotic events in Cushing’s syndrome: data from ERCUSYN and details in relation to surgery. Eur J Endocrinol. 2024;190(1):75–85. https://doi.org/10.1093/ejendo/lvad176.
Anderson DR, Morgano GP, Bennett C, Dentali F, Francis CW, Garcia DA, et al. American Society of Hematology 2019 guidelines for management of venous thromboembolism: prevention of venous thromboembolism in surgical hospitalized patients. Blood Adv. 2019;3(23):3898–944. https://doi.org/10.1182/bloodadvances.2019000975.
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From https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-025-08923-6
Filed under: Cushing's, pituitary, Treatments | Tagged: Cushing's Disease, pituitary, post-op, thromboprophylaxis | Leave a comment »
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.
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.
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).
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.
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).
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).
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.
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.
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).
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.
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.
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).
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.
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).
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.
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).
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].
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.
Cushing’s syndrome is associated with a heightened risk for venous thromboembolism, regardless of the underlying etiology. Currently, LMWHs such as enoxaparin remain the gold standard for both thromboprophylaxis and treatment in such patients. There is limited data to support superiority over alternative agents. Our study analyzed enoxaparin against warfarin, unfractionated heparin, and apixaban, for which there was no significant risk difference. When compared to aspirin, enoxaparin demonstrated a greater risk for the development of PE, LE DVT, and all-cause mortality. Further prospective trials are required to replicate our findings and confirm the superiority of aspirin over LMWH.
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