Development of Prediction Model to Estimate the Risk of Heart Failure in Diabetes Mellitus.

ABSTRACT:

Background

Heart failure (HF) is a leading cause of mortality and disability in patients with diabetes mellitus (DM). The aim of the study is to predict the risk of HF incidence in patients with DM by developing a risk prediction model.

Methods

We constructed a regression model based on 270 inpatients with DM between February 2018 and January 2019. Binary logistic regression was applied to develop the final model incorporating the predictors selected by least absolute shrinkage and selection operator regression. The nomogram was estimated with an area under the receiver operator characteristic curve and calibration diagram and validated with the bootstrap method.

Results

Risk factors including age, coronary heart disease (CHD), high-density lipoprotein (HDL), and low-

SUBMITTER: Qu H 

PROVIDER: S-EPMC9283704 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature