Using Medications for Prediction of Revision after Total Joint Arthroplasty

Maria C.S. Inacio, Nicole L. Pratt, Elizabeth E. Roughead, Stephen E. Graves

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This study evaluated the ability of a pharmacy based co-morbidity measure (RxRisk-V) to predict odds of one and five years revision in total hip arthroplasty (THA) and total knee arthroplasty (TKA) and compared its performance to the more commonly used co-morbidity measures in orthopaedics (Charlson and Elixhauser). 11,848 patients with THAs and 18,972 with TKAs performed between 2001 and 2012 were evaluated. Using a combination of conditions, identified by both the pharmacy and diagnoses based coding algorithms, models with acceptable predictive ability of THA and TKA revision were developed. These findings suggest prescription based co-morbidity measures can positively contribute to case-mix adjustment and outcome prediction in this patient population.

LanguageEnglish
Pages2061-2070
Number of pages10
JournalJournal of Arthroplasty
Volume30
Issue number12
DOIs
Publication statusPublished - 1 Dec 2015

Keywords

  • Co-morbidities
  • Medications
  • RxRisk-V
  • Total hip arthroplasty
  • Total knee arthroplasty

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine

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