Development and validation of a prediction model for heart failure in patients with heart valvular regurgitation.

ABSTRACT:

Aims

Patients with heart valvular regurgitation is increasing; early screening of potential patients developing heart failure (HF) is crucial.

Methods

From 1 November 2019 to 31 October 2023, a total of 509 patients with heart valvular regurgitation hospitalized in the Department of Cardiovascular Disease of the First Affiliated Hospital of Guangzhou University of Traditional Medicine were enrolled. Three hundred fifty-six cases were selected as the training set for modelling, and 153 cases were selected as the validation set for the internal validation of the model.

Results

A predictive model of heart failure with the following nine risk factors was developed: atrial fibrillation (AF), pulmonary infection (PI), coronary artery disease (CAD), creatinine (CREA), low-de

SUBMITTER: Xiao W 

PROVIDER: S-EPMC11424342 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature