Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

e-Poster Display Session

224P - Associations of pre-existing cardiovascular disease (CVD) with treatment patterns and survival outcomes in patients with localized prostate cancer: A real-world, population-based study

Date

22 Nov 2020

Session

e-Poster Display Session

Topics

Tumour Site

Prostate Cancer

Presenters

Atul Batra

Citation

Annals of Oncology (2020) 31 (suppl_6): S1325-S1333. 10.1016/annonc/annonc369

Authors

A. Batra1, S. Kong2, R. Rigo1, W.Y. Cheung1

Author affiliations

  • 1 Medical Oncology, Tom Baker Cancer Centre, T2N4M1 - Calgary/CA
  • 2 Biostatistics, University of Calgary, T2N4M1 - Calgary/CA

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 224P

Background

Research has largely focused on the effect of prior androgen deprivation therapy on the subsequent risk of CVD in patients with metastatic prostate cancer. However, the impact of pre-existing CVD on localized prostate cancer treatments and outcomes is unknown. This study aimed to identify the associations of baseline CVD with treatment patterns and survival outcomes in localized prostate cancer.

Methods

We identified patients diagnosed with localized prostate cancer in a large Canadian province from 2004-2017 using the population-based registry. Administrative sources were linked to ascertain any diagnoses of CVD (including myocardial infarctions [MIs], congestive heart failure [CHF], cerebrovascular accidents [CVAs] and arrythmias [AR]) prior to the onset of prostate cancer. Logistic regression and Cox regression were used to determine the associations of baseline CVD with cancer treatments (receipt of surgery and radiotherapy) and overall survival (OS).

Results

A total of 23,670 patients were included. The median age was 65 years (interquartile range, 38-97 years). Of these, 16.4%, 71.1% and 12.5% patients had stage I, II and III prostate cancer, respectively. At the diagnosis of prostate cancer, 4860 (20.5%) had pre-existing CVD: 6.0% AR, 3.4% CVAs, 3.0% MIs, 1.8% CHF and 6.4% multiple CVDs. The Charlson comorbidity index (CCI) was 0, 1 and >1 in 55.3%, 25.4% and 19.3%. After adjusting for age, stage and CCI, pre-existing CVD was associated with a lower likelihood of surgery (odds ratio [OR], 0.88; 95% confidence interval [CI], 0.81-0.95; P=0.001), but not radiotherapy (OR, 0.96; 95% CI, 0.88-1.04; P=0.319). Likewise, CVD was associated with worse OS, after adjusting for measured confounding variables (Table). Table: 224P

Hazard ratio 95% confidence interval P-value
Age at diagnosis < 65 > 65 Ref 3.55 3.29-3.83 <0.001
Stage at diagnosis I II III Ref 1.33 1.52 1.18-1.51 1.30-1.77 <0.001 <0.001
Surgery No Yes Ref 0.59 0.55-0.63 <0.001
Radiotherapy No Yes Ref 0.52 0.48-0.56 <0.001
Baseline cardiovascular disease No Yes Ref 1.97 1.85-2.10 <0.001

Conclusions

One-fifth of patients with localized prostate cancer have pre-existing CVD, which was associated with a lower likelihood of surgery and worse OS. In the context of an aging general population, this may have implications for radiotherapy capacity planning as more patients are offered non-surgical therapies. Early cardio-oncology consultations may optimize the management of CVD and allow for better uptake of prostate cancer treatments.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.