Predicting incident heart failure among patients with type 2 diabetes mellitus: The DM-CURE risk score.

ABSTRACT:

Aim

Early identification and prediction of incident heart failure (HF) is important because of severe morbidity and mortality. This study aimed to predict onset of HF among patients with diabetes.

Methods

A time-varying Cox model was derived from ACCORD clinical trial to predict the risk of incident HF, defined by hospitalization for HF (HHF). External validation was performed on patient-level data from the Harmony Outcome trial and Chronic Renal Insufficiency Cohort (CRIC) study. The model was transformed into an integer-based scoring algorithm for 10-year risk evaluation. A stepwise algorithm identified and selected predictors from demographic characteristics, physical examination, laboratory results, medical history, medication and health care utilization, to develop a ri

SUBMITTER: Lin Y 

PROVIDER: S-EPMC10201412 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature