TARGET-HF: developing a model for detecting incident heart failure among symptomatic patients in general practice using routine health care data.

ABSTRACT:

Background

Timely diagnosis of heart failure (HF) is essential to optimize treatment opportunities that improve symptoms, quality of life, and survival. While most patients consult their general practitioner (GP) prior to HF, the early stages of HF may be difficult to identify. An integrated clinical support tool may aid in identifying patients at high risk of HF. We therefore constructed a prediction model using routine health care data.

Methods

Our study involved a dynamic cohort of patients (≥35 years) who consulted their GP with either dyspnoea and/or peripheral oedema within the Amsterdam metropolitan area from 2011 to 2020. The outcome of interest was incident HF, verified by an expert panel. We developed a regularized, cause-specific multivariable proportional hazards

SUBMITTER: De Clercq L 

PROVIDER: S-EPMC9909665 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature