A systematic review of clinical prediction rules for the diagnosis of chronic heart failure.

ABSTRACT:

Aims

This study sought to review the literature for clinical prediction models for the diagnosis of patients with chronic heart failure in the community and to validate the models in a novel cohort of patients with a suspected diagnosis of chronic heart failure.

Methods and results

MEDLINE and Embase were searched from 1946 to Q4 2017. Studies were eligible if they contained at least one multivariable model for the diagnosis of chronic heart failure applicable to the primary care setting. The CHARMS checklist was used to evaluate models. We also validated models, where possible, in a novel cohort of patients with a suspected diagnosis of heart failure referred to a rapid access diagnostic clinic. In total, 5310 articles were identified with nine articles subsequently meeting

SUBMITTER: Gallagher J 

PROVIDER: S-EPMC6487728 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature