Cardio-kidney-metabolic syndrome and prostate cancer: Prognostic significance of higher stages for cardiovascular morbidity and mortality.

T Tarek Nahle (Augusta University, Augusta, Georgia, United States) V Viraj R. Shah (Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA) G Gaurav Gopu (Augusta University, Augusta, GA) A Aditya Bhave (Medical College of Georgia, Cumming, Georgia) S Sai Suraj Kollapaneni (Medical College of Georgia, Cumming, Georgia) S Sathvika Narasimhan (Medical College of Georgia at Augusta University, Augusta, Georgia, United States) O Omar M. Elsayed (Cardio-Oncology Program, Medical College of Georgia at Augusta University, Augusta, GA) H Harikrishnan Hyma Kunhiraman (Medical College of Georgia at Augusta University, Augusta, Georgia, United States) M Michel Abou Khalil (Tulane, New Orleans, Louisiana, United States) H Hassan Chami (Emory University Hospital, Atlanta, GA) K Kenar D. Jhaveri D Daniel Addison (University of Texas Southwestern Medical Center, Dallas, Texas, United States) J Joshua J. Joseph (Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH (J.J.J.).) T Tiffany M. Powell-Wiley V Virani Salim (Aga Khan University, Karashi, Pakistan) N Neeraj Agarwal (Division of Medical Oncology Department of Internal Medicine Huntsman Cancer Institute University of Utah Salt Lake City Utah USA) N Neal L. Weintraub A Avirup Guha

Abstract

358 Background: Patients with prostate cancer (PC) face a significant burden of cardiovascular disease (CVD). The newly established Cardio-kidney-metabolic syndrome (CKMS) integrates a multitude of comorbidities and risk factors that shape the pathophysiology of CVD. This study aims to evaluate the association between CKMS and cardiovascular (CV) outcomes and mortality in patients with PC. We hypothesized that higher stages of CKMS are associated with higher risk of CV events (CVE), CV mortality (CVm), PC specific mortality (PCsm) and all-cause mortality. Methods: In this retrospective study, we utilized the SEER-Medicare linkage to identify patients with localized or metastatic PC ≥ 65 years of age. The chronic conditions files were subsequently used to classify patients into three CKMS groups as follows: stages 0-1 (excess/dysfunctional adiposity and no CKMS risk factors), stages 2-3 (metabolic risk factors, chronic kidney disease (CKD), or subclinical CVD), and stage 4 (clinical CVD in CKMS). Multivariable Fine-Gray competing risk models were used to evaluate CVE, CVm, and PCsm. The CVE composite included myocardial infarction, heart failure, atrial fibrillation, ischemic stroke, and peripheral artery disease post cancer diagnosis. We assessed all-cause mortality using Cox proportional hazard models. All statistical models adjusted for age, race, marital status, education level, socioeconomic position, PC grade, PC stage, rurality, surgery, radiation, chemotherapy, and androgen deprivation therapy (ADT). Results: A total of 104,400 patients met our inclusion criteria, with CKMS stages 0-1 having 17,028, stages 2-3 having 35,353, and stage 4 having 52,019 patients. There was a significant increase in CVE incidence in patients with CKMS stages 2-3 when compared to stages 0-1 (sHR 1.38; 95%CI 1.32-1.43, p<0.001), with a decrease in PCsm (0.92; 95% CI 0.85-0.99, p=0.035). Compared to CKMS stages 0-1, stage 4 showed a greater increase in CVE incidence (sHR 2.94; 95%CI 2.83-3.05, p<0.001), with a significant increase in CVm (sHR 2.64; 95%CI 2.36-2.96, p<0.001), and all-cause mortality (sHR 1.69; 95%CI 1.62-1.78, p<0.001) (Table). Conclusions: Higher CKMS stages are associated with worse CV outcomes in patients with PC. These findings show the critical need for proper diagnosis and management of CKMS in PC patients. Fine-Gray competing risk and Cox proportional hazards regression for the various outcomes using the fully adjusted model. Stage CVE CVm PCsm All-cause mortality CKMS 0-1 Reference Reference Reference Reference CKMS 2-3 1.375 (1.322-1.430, p<0.001) 1.051 (0.92-1.18, p=0.43) 0.920 (0.851-0.99, p=0.035) 1.00 (0.95-1.06, p=0.801) CKS 4 2.939 (2.832-3.051, p<0.001) 2.64 (2.36-2.96, p<0.001) 1.0 (0.933-1.08, p=0.91) 1.69 (1.617-1.783, p<0.001) Overall Population, Competing Risk = (All-Cause Mortality), sHR (95% CI, p-value).

Article Details

Volume / Issue Vol. 44, Issue 7_suppl
Published March 01, 2026
Pages 358-358
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (18)

T

Tarek Nahle

Augusta University, Augusta, Georgia, United States

V

Viraj R. Shah

Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA

G

Gaurav Gopu

Augusta University, Augusta, GA

A

Aditya Bhave

Medical College of Georgia, Cumming, Georgia

S

Sai Suraj Kollapaneni

Medical College of Georgia, Cumming, Georgia

S

Sathvika Narasimhan

Medical College of Georgia at Augusta University, Augusta, Georgia, United States

O

Omar M. Elsayed

Cardio-Oncology Program, Medical College of Georgia at Augusta University, Augusta, GA

H

Harikrishnan Hyma Kunhiraman

Medical College of Georgia at Augusta University, Augusta, Georgia, United States

M

Michel Abou Khalil

Tulane, New Orleans, Louisiana, United States

H

Hassan Chami

Emory University Hospital, Atlanta, GA

K

Kenar D. Jhaveri

D

Daniel Addison

University of Texas Southwestern Medical Center, Dallas, Texas, United States

J

Joshua J. Joseph

Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH (J.J.J.).

T

Tiffany M. Powell-Wiley

V

Virani Salim

Aga Khan University, Karashi, Pakistan

N

Neeraj Agarwal

Division of Medical Oncology Department of Internal Medicine Huntsman Cancer Institute University of Utah Salt Lake City Utah USA

N

Neal L. Weintraub

A

Avirup Guha