Predictive Accuracy of Heart Failure-Specific Risk Equations in an Electronic Health Record-Based Cohort.

ABSTRACT:

Background

Guidelines recommend identification of individuals at risk for heart failure (HF). However, implementation of risk-based prevention strategies requires validation of HF-specific risk scores in diverse, real-world cohorts. Therefore, our objective was to assess the predictive accuracy of the Pooled Cohort Equations to Prevent HF within a primary prevention cohort derived from the electronic health record.

Methods

We retrospectively identified patients between the ages of 30 to 79 years in a multi-center integrated healthcare system, free of cardiovascular disease, with available data on HF risk factors, and at least 5 years of follow-up. We applied the Pooled Cohort Equations to Prevent HF tool to calculate sex and race-specific 5-year HF risk estimates. Incident H

SUBMITTER: Bavishi A 

PROVIDER: S-EPMC7674211 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature