Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut.
Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois.
J Arthroplasty. 2018 Jan;33(1):250-257. doi: 10.1016/j.arth.2017.08.032. Epub 2017 Sep 1.
Identifying patients at highest risk for a complex perioperative course following total hip arthroplasty (THA) is more important than ever in order to educate patients, optimize outcomes, and to minimize cost and length of stay. There are no known studies comparing the clinically relevant discriminative ability of 3 commonly used comorbidity indices for adverse outcomes following THA: Elixhauser Comorbidity Measure (ECM), the Charlson Comorbidity Index (CCI), and the modified Frailty Index (mFI).
Patients undergoing THA were extracted from the 2013 National Inpatient Sample. The discriminative ability of ECM, CCI, and mFI, as well as the demographic factors age, body mass index, and gender for the occurrence of index admission Centers for Medicare & Medicaid Services procedure-specific complication measures, extended length of hospital stay, and discharge to a facility were assessed using the area under the curve analysis from receiver operating characteristic curves.
ECM outperformed CCI and mFI for the occurrence of all 5 adverse outcomes. Age outperformed gender and obesity for the occurrence of all 5 adverse outcomes. ECM (the best performing comorbidity index) outperformed age (the best performing demographic factor) in discriminative ability for the occurrence of 3 of 5 adverse outcomes.
The less commonly used ECM outperformed the more often utilized CCI and newer mFI as well as demographic factors in correctly preoperatively identifying patients' probabilities of experiencing an adverse outcome suggesting that wider adoption of ECM should be considered in both identifying likelihoods of adverse patient outcomes and for research purposes in future studies.
为了对患者进行教育、优化结果、并尽量降低成本和缩短住院时间,确定接受全髋关节置换术(THA)后围手术期发生复杂情况的高危患者比以往任何时候都更为重要。目前尚无已知研究比较三种常用于预测 THA 后不良结局的常见合并症指标的临床相关鉴别能力:Elixhauser 合并症度量(ECM)、Charlson 合并症指数(CCI)和改良衰弱指数(mFI)。
从 2013 年国家住院患者样本中提取接受 THA 的患者。使用受试者工作特征曲线下的面积分析评估 ECM、CCI 和 mFI 以及年龄、体重指数和性别等人口统计学因素对索引入院医疗保险和医疗补助服务特定程序并发症措施、延长住院时间和出院到医疗机构的发生率的鉴别能力。
ECM 在发生所有 5 种不良结局方面均优于 CCI 和 mFI。年龄在发生所有 5 种不良结局方面均优于性别和肥胖。在发生 3 种 5 种不良结局方面,ECM(表现最佳的合并症指标)的鉴别能力优于年龄(表现最佳的人口统计学因素)。
不太常用的 ECM 在正确预测患者发生不良结局的可能性方面优于更常用的 CCI 和更新的 mFI 以及人口统计学因素,这表明应考虑更广泛地采用 ECM 来识别不良患者结局的可能性,并在未来研究中用于研究目的。