Inacio, M.C.S.Pratt, N.L.Roughead, E.E.Graves, S.E.2021-12-102021-12-102015Journal of Arthroplasty, 2015; 30(10):1692-16980883-54031532-8406https://hdl.handle.net/2440/133643This 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.en© 2015 Elsevier Inc. All rights reserved.co-morbidities; total knee arthroplasty; total hip arthroplasty; RxRisk-V; pharmacy dataHumansProsthesis-Related InfectionsArthroplasty, Replacement, HipArthroplasty, Replacement, KneeRetrospective StudiesComorbidityAgedAged, 80 and overAustraliaFemaleMaleDrug PrescriptionsPredicting infections after total joint arthroplasty using a prescription based comorbidity measureJournal article10.1016/j.arth.2015.05.0042021-12-10189958Pratt, N.L. [0000-0001-8730-8910]Graves, S.E. [0000-0002-1629-319X]