Acute Myocardial Infarction Readmission Risk Prediction Models: A Systematic Review of Model Performance.

ABSTRACT: BACKGROUND:Hospitals are subject to federal financial penalties for excessive 30-day hospital readmissions for acute myocardial infarction (AMI). Prospectively identifying patients hospitalized with AMI at high risk for readmission could help prevent 30-day readmissions by enabling targeted interventions. However, the performance of AMI-specific readmission risk prediction models is unknown. METHODS AND RESULTS:We systematically searched the published literature through March 2017 for studies of risk prediction models for 30-day hospital readmission among adults with AMI. We identified 11 studies of 18 unique risk prediction models across diverse settings primarily in the United States, of which 16 models were specific to AMI. The median overall observed all-cause 30-day readmission rate a

SUBMITTER: Smith LN 

PROVIDER: S-EPMC5858710 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature