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

J Arthroplasty. 2015 Oct;30(10):1692-8. doi: 10.1016/j.arth.2015.05.004. Epub 2015 May 8.

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.

Keywords: RxRisk-V; co-morbidities; pharmacy data; total hip arthroplasty; total knee arthroplasty.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Arthroplasty, Replacement, Hip / adverse effects*
  • Arthroplasty, Replacement, Knee / adverse effects*
  • Australia / epidemiology
  • Comorbidity*
  • Drug Prescriptions / statistics & numerical data
  • Female
  • Humans
  • Male
  • Prosthesis-Related Infections / epidemiology*
  • Prosthesis-Related Infections / etiology
  • Retrospective Studies