Observational Health Data Analysis of the Cardiovascular Adverse Events of Systemic Treatment in Patients with Metastatic Hormone-sensitive Prostate Cancer: Big Data Analytics Using the PIONEER Platform

  • Pawel Rajwa*
  • , Angelika Borkowetz
  • , the PIONEER Consortium
  • , Thomas Abbott
  • , Andrea Alberti
  • , Katharina Beyer
  • , Anders Bjartell
  • , James T. Brash
  • , Andrew Chilelli
  • , Eleanor Davies
  • , Bertrand De Meulder
  • , Tamas Fazekas
  • , Asieh Golozar
  • , Ayman Hijazy
  • , Andreas Josefsson
  • , Veeru Kasivisvanathan
  • , Raivo Kolde
  • , Daniel Kotik
  • , Michael S. Leapman
  • , Marcin Miszczyk
  • Rossella Nicoletti, Peter Prinsen, Sebastiaan Remmers, Maria J. Ribal, Juan Gómez Rivas, Lara Rodriguez-Sanchez, Monique J. Roobol, Emma Smith, Robert Snijder, Carl Steinbeisser, Hein V. Stroomberg, Giorgio Gandaglia, Philip Cornford, Susan Evans-Axelsson, James N'Dow, Peter Paul M. Willemse
*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Background and objective: 

Although cardiovascular toxicity from modern systemic treatments in metastatic hormone-sensitive prostate cancer (mHSPC) remains a concern, real-world data are limited. We aimed to characterise patients treated for mHSPC across multiple large cohorts and estimate cardiovascular adverse event (AE) risks. 

Methods: 

Leveraging PIONEER's Big Data platform, with databases standardised using the Observational Medical Outcomes Partnership model, we defined cohorts and calculated the incidence rates of AEs per 1000 person-years. The time to first event was assessed via a Kaplan-Meier analysis, and the mean cumulative function (MCF) was estimated for recurrent events. Analyses were stratified by therapy and database. 

Key findings and limitations: 

We included 90 087 mHSPC patients from five databases, treated with androgen deprivation therapy (ADT) + androgen receptor pathway inhibitor (ARPI) + docetaxel (DOC) (n = 3743), ADT + ARPI (n = 13 588), ADT + DOC (n = 16 287), or ADT alone (n = 56 469). The distribution of age (63.5–73.7 yr) and comorbidities varied between databases (eg, for hypertension 22–79%). Diabetes was reported in up to 33%, heart failure in 17%, obesity in 25%, and kidney impairment in 26% of men. The highest incidence rates of AEs were as follows: 115 cases (ADT) for acute cardiac events, 403 (ADT + ARPI) for cerebral events, 214 (ADT + ARPI) for thromboembolism, 34 (ADT) for chronic heart failure, and 143 (ADT + ARPI + DOC) for hypertension. The 3-yr acute cardiac event–free survival rate ranged from 79% to 97%, and the 3-yr MCF for acute cardiac events was up to 0.33. Limitations include the retrospective nature and a lack of AE grading. 

Conclusions and clinical implications: 

Our study highlights important heterogeneity in real-world, observational mHSPC data. The included patients demonstrated a substantial comorbidity burden, often exceeding that reported in clinical trials, alongside a high rate of cardiovascular AEs.

Original languageEnglish
Pages (from-to)926-936
Number of pages11
JournalEuropean Urology Focus
Volume11
Issue number6
DOIs
Publication statusPublished - Nov 2025

Bibliographical note

Publisher Copyright:
© 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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