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https://hdl.handle.net/2440/133643
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dc.contributor.author | Inacio, M.C.S. | - |
dc.contributor.author | Pratt, N.L. | - |
dc.contributor.author | Roughead, E.E. | - |
dc.contributor.author | Graves, S.E. | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Journal of Arthroplasty, 2015; 30(10):1692-1698 | - |
dc.identifier.issn | 0883-5403 | - |
dc.identifier.issn | 1532-8406 | - |
dc.identifier.uri | https://hdl.handle.net/2440/133643 | - |
dc.description.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. | - |
dc.description.statementofresponsibility | Maria C.S.Inacio, Nicole L.Pratt, Elizabeth E.Roughead, Stephen E.Graves ... et al. | - |
dc.language.iso | en | - |
dc.publisher | Elsevier | - |
dc.rights | © 2015 Elsevier Inc. All rights reserved. | - |
dc.source.uri | http://dx.doi.org/10.1016/j.arth.2015.05.004 | - |
dc.subject | co-morbidities; total knee arthroplasty; total hip arthroplasty; RxRisk-V; pharmacy data | - |
dc.subject.mesh | Humans | - |
dc.subject.mesh | Prosthesis-Related Infections | - |
dc.subject.mesh | Arthroplasty, Replacement, Hip | - |
dc.subject.mesh | Arthroplasty, Replacement, Knee | - |
dc.subject.mesh | Retrospective Studies | - |
dc.subject.mesh | Comorbidity | - |
dc.subject.mesh | Aged | - |
dc.subject.mesh | Aged, 80 and over | - |
dc.subject.mesh | Australia | - |
dc.subject.mesh | Female | - |
dc.subject.mesh | Male | - |
dc.subject.mesh | Drug Prescriptions | - |
dc.title | Predicting infections after total joint arthroplasty using a prescription based comorbidity measure | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1016/j.arth.2015.05.004 | - |
dc.relation.grant | http://purl.org/au-research/grants/nhmrc/1040938 | - |
dc.relation.grant | http://purl.org/au-research/grants/nhmrc/1035889 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Pratt, N.L. [0000-0001-8730-8910] | - |
dc.identifier.orcid | Graves, S.E. [0000-0002-1629-319X] | - |
Appears in Collections: | Orthopaedics and Trauma publications |
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