基于处方的合并症指标预测全关节置换术后感染。
Predicting Infections After Total Joint Arthroplasty Using a Prescription Based Comorbidity Measure.
机构信息
Quality Use of Medicines and Pharmacy Research Centre, Medicine and Devices Surveillance Centre of Research Excellence, Sansom Institute, School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, South Australia, Australia.
Australian Orthopaedic Association, National Total Joint Replacement Registry, Level 6 Bice Building, Royal Adelaide Hospital, The University of Adelaide, Adelaide, SA, Australia.
出版信息
J Arthroplasty. 2015 Oct;30(10):1692-8. doi: 10.1016/j.arth.2015.05.004. Epub 2015 May 8.
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.
本研究评估了 RxRisk-V、Elixhauser 和 Charlson 测量方法以及全髋关节置换术（THA）和全膝关节置换术（TKA）后合并症与感染之间的关联和预测能力。THA 和 TKA（2001-2012 年）的信息来源于澳大利亚退伍军人事务部的数据。术后 90 天内发生的感染是本研究的终点。合并症通过药房（RxRisk-V）和住院史（Elixhauser、Charlson）确定。在 11848 例 THA 中，有 3.1%（N=364）发生了感染，在 18972 例 TKA 中，有 3.4%（N=648）发生了感染。合并症负担和具体疾病与感染的可能性相关。RxRisk-V 比其他方法表现更好，但都没有很高的预测能力，且差异较小。当使用所有方法确定的组合条件时，预测感染的最佳模型的效果最好。
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