Open AccessPredicting 30-Day Hospital Readmission Risk in a National Cohort of Patients with Cirrhosis
Author(s) -
Jejo D. Koola,
Sam Ho,
Aize Cao,
Guanhua Chen,
Amy M. Perkins,
Sharon E. Davis,
Michael E. Matheny
Publication year - 2019
Publication title -
digestive diseases and sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.14
H-Index - 124
eISSN - 1573-2568
pISSN - 0163-2116
DOI - 10.1007/s10620-019-05826-w
Subject(s) - medicine , veterans affairs , emergency medicine , cirrhosis , retrospective cohort study , logistic regression , hepatology , framingham risk score , health care , cohort , brier score , medical diagnosis , intensive care medicine , disease , pathology , artificial intelligence , computer science , economics , economic growth
Early hospital readmission for patients with cirrhosis continues to challenge the healthcare system. Risk stratification may help tailor resources, but existing models were designed using small, single-institution cohorts or had modest performance.