术前患者报告的预后指标能否预测全膝关节置换术后的临床结果?

IF 3.8 2区 医学 Q1 ORTHOPEDICS
Jonathan L Katzman, Casey Cardillo, Benjamin C Schaffler, Ran Schwarzkopf, Joshua C Rozell
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引用次数: 0

摘要

导言:医疗保险和医疗补助服务中心现在要求在全膝关节置换术(TKA)前后收集患者报告的结果测量(PROMs),尽管它们在预测临床结果方面的效用尚不清楚。本研究将术前PROMs预测TKA后临床结果的能力与既定指标进行了比较,包括Charlson共病指数(CCI)和风险评估与预测工具(RAPT)。方法:我们回顾性分析了2,923例接受选择性、原发性、单侧全膝关节置换术的患者,这些患者在术前90天内完成了膝关节损伤和骨关节炎关节置换术结局评分(oos JR)和4个患者报告的结果测量信息系统(PROMIS®)域。结果包括当日出院率(SDD)、延长住院时间(LOS≥48小时)、非居家出院、90天再入院和翻修手术。采用受试者工作特征(ROC)曲线(曲线下面积[AUC])和多变量logistic回归评估预测效用。结果:RAPT是SDD (AUC = 0.697)、延长LOS (AUC = 0.703)和非居家放电(AUC = 0.877)的最强预测因子。PROMIS生理健康(SDD的AUC = 0.609; LOS的AUC = 0.607;出院的AUC = 0.696)和PROMIS心理健康(AUC = 0.613; 0.610; 0.655)表现出适度的预测价值。在调整后的模型中,较高的PROMIS心理健康水平与较高的SDD几率(比值比(OR) = 1.027, P = 0.003)和较低的扩展LOS几率(OR = 0.975, P < 0.001)相关。较高的PROMIS体质健康水平与较低的非居家出院几率相关(OR = 0.935, P = 0.017)。CCI是90天再入院的最强预测因子(AUC = 0.604),也是调整后模型中唯一显著变量。复习与年轻、男性、黑人和较低的RAPT评分显著相关。没有prom是再入院或翻修的重要预测因素。结论:术前PROMs与TKA后的一些临床结果相关,但与RAPT评分等现有工具相比,PROMs的预测能力有限。这些发现强调了在基于价值的护理模式中,需要更强大的、结果一致的PROMs来改善手术计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can Preoperative Patient-Reported Outcome Measures Predict Clinical Outcomes Following Total Knee Arthroplasty?

Background: The Centers for Medicare and Medicaid Services now mandates the collection of patient-reported outcome measures (PROMs) before and after total knee arthroplasty (TKA), though their utility in predicting clinical outcomes remains unclear. This study compared the power of preoperative PROMs to predict clinical outcomes after TKA to established indices, including the Charlson Comorbidity Index and the Risk Assessment and Prediction Tool (RAPT).

Methods: We retrospectively reviewed 2,923 patients undergoing elective, primary, unilateral TKA who completed the Knee Injury and Osteoarthritis Outcome Score for Joint Replacement and four Patient-Reported Outcomes Measurement Information System (PROMIS) domains within 90 days preoperatively. Outcomes included same-day discharge (SDD) rate, prolonged length of stay (LOS ≥ 48 hours), nonhome discharge, 90-day readmission, and revision surgery. Predictive utility was assessed using receiver operating characteristic curves (area under the curve [AUC]) and multivariable logistic regressions.

Results: The RAPT was the strongest predictor of SDD (AUC = 0.697), extended LOS (AUC = 0.703), and nonhome discharge (AUC = 0.877). The PROMIS Physical Health (AUC = 0.609 for SDD; 0.607 for LOS; 0.696 for discharge) and PROMIS Mental Health (AUC = 0.613; 0.610; 0.655) demonstrated modest predictive value. In adjusted models, higher PROMIS Mental Health was associated with greater odds of SDD (odds ratio (OR) = 1.027, P = 0.003) and lower odds of extended LOS (OR = 0.975, P < 0.001). Higher PROMIS Physical Health was associated with decreased odds of nonhome discharge (OR = 0.935, P = 0.017). The Charlson Comorbidity Index was the strongest predictor of 90-day readmission (AUC = 0.604) and the only significant variable in adjusted models. There were no PROMs that were significant predictors of readmission or revision.

Conclusions: Preoperative PROMs are associated with some clinical outcomes following TKA, but demonstrate limited predictive power compared to established tools like the RAPT score. These findings underscore the need for more robust, outcome-aligned PROMs to improve surgical planning in a value-based care model.

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来源期刊
Journal of Arthroplasty
Journal of Arthroplasty 医学-整形外科
CiteScore
7.00
自引率
20.00%
发文量
734
审稿时长
48 days
期刊介绍: The Journal of Arthroplasty brings together the clinical and scientific foundations for joint replacement. This peer-reviewed journal publishes original research and manuscripts of the highest quality from all areas relating to joint replacement or the treatment of its complications, including those dealing with clinical series and experience, prosthetic design, biomechanics, biomaterials, metallurgy, biologic response to arthroplasty materials in vivo and in vitro.
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