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ABSTRACT: Background
Risk-prediction models specifically for hospitalized heart failure with preserved ejection fraction are lacking.Methods and results
We analyzed data from the ARIC (Atherosclerosis Risk in Communities) Study Heart Failure Community Surveillance to create and validate a risk score predicting mortality in patients ≥55 years of age admitted with acute decompensated heart failure with preserved ejection fraction (ejection fraction ≥50%). A modified version of the risk-prediction model for acute heart failure developed from patients in the EFFECT (Enhanced Feedback for Effective Cardiac Treatment) study was used as a composite predictor of 28-day and 1-year mortalities and evaluated together with other potential predictors in a stepwise logistic regression. The derivat
SUBMITTER: Thorvaldsen T
PROVIDER: S-EPMC6592614 | biostudies-literature | 2017 Dec
REPOSITORIES: biostudies-literature