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Predicting Readmission After Stroke Study (PRESS)

Hospital readmissions are a tremendous burden on patients, their families, and the health care system. In 2008, the Centers for Medicare and Medicaid Services began publicly reporting hospital-level, risk-standardized, 30-day readmission and mortality rates for acute myocardial infarction and heart failure. Stroke survivors also have high risk of new illness, worsened known diseases, functional decline, and a high death rate. Readmission rates of 20 to 27 percent within one year have been reported. A systematic review of predictors of hospital readmission after stroke yielded no risk-standardized models for comparing hospital readmission performance or predicting readmission risk after stroke. This project aims to create a risk-adjusted predictive model for re-hospitalization after ischemic stroke using retrospectively and prospectively collected patient-level and hospital-level data, and to validate the model retrospectively and prospectively.

Investigator: Nguyen-Huynh, Mai

Funder: National Institute of Neurological Disorders and Stroke

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