Analytics and Business Intelligence Team, The University of Toledo, College of Medicine and Life Sciences, Toledo, Ohio, USA
Publications
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Original Article
Comorbidity-Polypharmacy Score Predicts Readmissions and in- Hospital Mortality: A Six-Hospital Health Network Experience
Author(s): Julia C Tolentino, Jill C Stoltzfus, Riley Harris, Amanda Mazza, Dan Foltz, Peter Deringer, Joseph V Sakran, Robert Menak, Alaa-Eldin A Mira, Michelle Nguyen, Susan D Moffatt-Bruce, Timothy Huerta, Thomas J Papadimos and Stanislaw P Stawicki*
Abstract
Introduction: The comorbidity-polypharmacy score (CPS) is a simple sum of pre-admission medications and comorbid conditions. Previous studies show that CPS correlates with morbidity, mortality, readmissions, adverse events, and acuity level determinations in various patient populations. The aim of this study is to determine the behavior of CPS across a large sample of medicalsurgical patients, inclusive of all age ranges. We hypothesized that CPS will be associated with readmissions, mortality, and hospital length of stay. Methods: We performed an IRB-exempt study of patients admitted to a sixhospital network between Jul 2014-Dec 2014. Variables analyzed included demographics (age, gender); polypharmacy data (number of pre-admission medications); comorbid conditions (all “pre-existing” conditions on admission); hospital length of stay (HLOS); n..
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