Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/133643
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Predicting infections after total joint arthroplasty using a prescription based comorbidity measure |
Author: | Inacio, M.C.S. Pratt, N.L. Roughead, E.E. Graves, S.E. |
Citation: | Journal of Arthroplasty, 2015; 30(10):1692-1698 |
Publisher: | Elsevier |
Issue Date: | 2015 |
ISSN: | 0883-5403 1532-8406 |
Statement of Responsibility: | Maria C.S.Inacio, Nicole L.Pratt, Elizabeth E.Roughead, Stephen E.Graves ... et al. |
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: | co-morbidities; total knee arthroplasty; total hip arthroplasty; RxRisk-V; pharmacy data |
Rights: | © 2015 Elsevier Inc. All rights reserved. |
DOI: | 10.1016/j.arth.2015.05.004 |
Grant ID: | http://purl.org/au-research/grants/nhmrc/1040938 http://purl.org/au-research/grants/nhmrc/1035889 |
Published version: | http://dx.doi.org/10.1016/j.arth.2015.05.004 |
Appears in Collections: | Orthopaedics and Trauma publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.