Predicting Infections After Total Joint Arthroplasty Using a Prescription Based Comorbidity Measure

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 association and predictive ability of co-morbidities measured by RxRisk-V, Elixhauser and Charlson measures and post-total hip (THA) and total knee arthroplasties (TKA) infection. THAs and TKAs (2001-2012) were identified using the Australian Department of Veterans' Affairs data. Infections within 90 days post-surgery were the study endpoint. Co-morbidities were identified using pharmacy (RxRisk-V) and hospitalization history (Elixhauser, Charlson). Of the 11,848 THAs, 3.1% (N = 364) had infections and out of 18,972 TKAs 3.4% (N = 648). Comorbidity burden and specific conditions were associated with infection likelihood. RxRisk-V performed better than other measures, but none had high predictive ability and differences were small. The best performing infection prediction models resulted when a combination of conditions identified by all measures was used.

Original languageEnglish
Pages (from-to)1692-1698
Number of pages7
JournalJournal of Arthroplasty
Volume30
Issue number10
DOIs
Publication statusPublished - 1 Oct 2015

Keywords

  • Co-morbidities
  • Pharmacy data
  • RxRisk-V
  • Total hip arthroplasty
  • Total knee arthroplasty

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Medicine(all)

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