» Articles » PMID: 34677594

Real-world Cardiovascular Outcomes Associated With Degarelix Vs Leuprolide for Prostate Cancer Treatment

Abstract

Importance: With a growing interest in the use of real-world evidence for regulatory decision-making, it is important to understand whether real-world data can be used to emulate the results of randomized clinical trials.

Objective: To use electronic health record and administrative claims data to emulate the ongoing PRONOUNCE trial (A Trial Comparing Cardiovascular Safety of Degarelix Versus Leuprolide in Patients With Advanced Prostate Cancer and Cardiovascular Disease).

Design, Setting, And Participants: This retrospective, propensity-matched cohort study included adult men with a diagnosis of prostate cancer and cardiovascular disease who initiated either degarelix or leuprolide between December 24, 2008, and June 30, 2019. Participants were commercially insured individuals and Medicare Advantage beneficiaries included in a large US administrative claims database.

Exposures: Degarelix or leuprolide.

Main Outcomes And Measures: The primary end point was time to first occurrence of a major adverse cardiovascular event (MACE), defined as death due to any cause, myocardial infarction, or stroke, analogous to the PRONOUNCE trial. Secondary end points were time to death due to any cause, myocardial infarction, stroke, and angina. Cox proportional hazards regression was used to evaluate primary and secondary end points.

Results: A total of 32 172 men initiated degarelix or leuprolide for prostate cancer; of them, 9490 (29.5%) had cardiovascular disease, and 7800 (24.2%) met the PRONOUNCE trial eligibility criteria and were included in this study. Overall, 165 participants (2.1%) were Asian, 1390 (17.8%) were Black, 663 (8.5%) were Hispanic, and 5258 (67.4%) were White. The mean (SD) age was 74.4 (7.4) years. Among 2226 propensity score-matched patients, no significant difference was observed in the risk of MACE for patients taking degarelix vs those taking leuprolide (10.18 vs 8.60 events per 100 person-years; hazard ratio [HR], 1.18; 95% CI, 0.86-1.61). Degarelix was associated with a higher risk of death from any cause (HR, 1.48; 95% CI, 1.01-2.18) but not of myocardial infarction (HR, 1.16; 95% CI, 0.60-2.25), stroke (HR, 0.92; 95% CI, 0.45-1.85), or angina (HR, 1.36; 95% CI, 0.43-4.27).

Conclusions And Relevance: In this emulation of a clinical trial of men with cardiovascular disease undergoing treatment for prostate cancer, degarelix was not associated with a lower risk of cardiovascular events than leuprolide. Comparison of these data with PRONOUNCE trial results, when published, will help enhance our understanding of the appropriate role of using real-world data to emulate clinical trials.

Citing Articles

Assessing the effects of prostate cancer therapies on cardiovascular health.

Tisseverasinghe S, Tolba M, Bahoric B, Saad F, Niazi T Nat Rev Urol. 2025; .

PMID: 40011663 DOI: 10.1038/s41585-025-01002-0.


Feasibility of using real-world data to emulate substance use disorder clinical trials: a cross-sectional study.

Janda G, Jeffery M, Ramachandran R, Ross J, Wallach J BMC Med Res Methodol. 2024; 24(1):187.

PMID: 39198727 PMC: 11351457. DOI: 10.1186/s12874-024-02307-1.


Cardiovascular disease burden in patients with urological cancers: The new discipline of uro-cardio-oncology.

Zheng Y, Liu Y, Chen Z, Zhang Y, Qi Z, Wu N Cancer Innov. 2024; 3(2):e108.

PMID: 38946935 PMC: 11212304. DOI: 10.1002/cai2.108.


Cancer drug indication approvals in China and the United States: a comparison of approval times and clinical benefit, 2001-2020.

Wei Y, Zhang Y, Xu Z, Wang G, Zhou Y, Li H Lancet Reg Health West Pac. 2024; 45:101055.

PMID: 38590780 PMC: 10999698. DOI: 10.1016/j.lanwpc.2024.101055.


Addressing the risk and management of cardiometabolic complications in prostate cancer patients on androgen deprivation therapy and androgen receptor axis-targeted therapy: consensus statements from the Hong Kong Urological Association and the Hong....

Poon D, Tan G, Chan K, Chan M, Chan T, Kan R Front Oncol. 2024; 14:1345322.

PMID: 38357197 PMC: 10864500. DOI: 10.3389/fonc.2024.1345322.


References
1.
Berger M, Mamdani M, Atkins D, Johnson M . Good research practices for comparative effectiveness research: defining, reporting and interpreting nonrandomized studies of treatment effects using secondary data sources: the ISPOR Good Research Practices for Retrospective Database Analysis Task.... Value Health. 2009; 12(8):1044-52. DOI: 10.1111/j.1524-4733.2009.00600.x. View

2.
Prasad V, Jena A . Prespecified falsification end points: can they validate true observational associations?. JAMA. 2013; 309(3):241-2. DOI: 10.1001/jama.2012.96867. View

3.
Lonjon G, Boutron I, Trinquart L, Ahmad N, Aim F, Nizard R . Comparison of treatment effect estimates from prospective nonrandomized studies with propensity score analysis and randomized controlled trials of surgical procedures. Ann Surg. 2013; 259(1):18-25. DOI: 10.1097/SLA.0000000000000256. View

4.
Bartlett V, Dhruva S, Shah N, Ryan P, Ross J . Feasibility of Using Real-World Data to Replicate Clinical Trial Evidence. JAMA Netw Open. 2019; 2(10):e1912869. PMC: 6802419. DOI: 10.1001/jamanetworkopen.2019.12869. View

5.
Cowie M, Blomster J, Curtis L, Duclaux S, Ford I, Fritz F . Electronic health records to facilitate clinical research. Clin Res Cardiol. 2016; 106(1):1-9. PMC: 5226988. DOI: 10.1007/s00392-016-1025-6. View