Daniel J. Rubin|Sherita Hill Golden|Marie E. McDonnell|Huaqing Zhao
Predicting readmission risk of patients with diabetes hospitalized for cardiovascular disease: a retrospective cohort study
Temple University|Johns Hopkins University|Brigham and Women's Hospital|Harvard University|Temple University|Clinical Research Institute
develop validate tool predicts 30d readmission risk patients diabetes hospitalized cardiovascular disease cvd diabetes early readmission risk indicatorcvd derricvda cohort 8189 discharges retrospectively selected electronic records adult patients diabetes hospitalized cvd discharges 60 patients n4950 randomly selected training sample remaining 40 n3219 validation samplestatistically significant predictors allcause 30d readmission risk identified multivariable logistic regression modeling education level employment status living within 5miles hospital preadmission diabetes therapy macrovascular complications admission serum creatinine albumin levels hospital discharge within 90days preadmission psychiatric diagnosis model discrimination calibration good cstatistic 071 performance validation sample comparable predicted 30d readmission risk similar training validation samples 386 351 highest quintilesthe derricvd may valid tool predict allcause 30d readmission risk patients diabetes hospitalized cvd identifying highrisk patients may encourage use interventions targeting greatest risk potentially leading better outcomes lower healthcare costs