Biomarker-Based Risk Prediction of Incident Heart Failure in Pre-Diabetes and Diabetes.

ABSTRACT:

Objectives

This study evaluated the application of a biomarker-based risk score to identify individuals with dysglycemia who are at high risk for incident heart failure (HF) and to inform allocation of effective preventive interventions.

Background

Risk stratification tools to identify patients with diabetes and pre-diabetes at highest risk for HF are needed to inform cost-effective allocation of preventive therapies. Whether a biomarker score can meaningfully stratify HF risk is unknown.

Methods

Participants free of cardiovascular disease from 3 cohort studies (ARIC [Atherosclerosis Risk In Communities], DHS [Dallas Heart Study], and MESA [Multi-Ethnic Study of Atherosclerosis]) were included. An integer-based biomarker score included high-sensitivity cardiac troponi

SUBMITTER: Pandey A 

PROVIDER: S-EPMC11229674 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature