Minimal Clinically Important Changes in HOOS-12 and KOOS-12 Scores Following Joint Replacement

Sze-Ee Soh, Ian A. Harris, K. Cashman, E. Heath, M. Lorimer, S. Graves, I. Ackerman
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引用次数: 11

Abstract

Background: For patient-reported outcome measures (PROMs) to provide meaningful information to support clinical care, we need to understand the magnitude of change that matters to patients. The aim of this study was to estimate minimal clinically important changes (MCICs) for the 12-item Hip disability and Osteoarthritis Outcome Score (HOOS-12) and Knee injury and Osteoarthritis Outcome Score (KOOS-12) among people undergoing joint replacement for osteoarthritis. Methods: Individual-level data from the Australian Orthopaedic Association National Joint Replacement Registry’s pilot PROMs program were used for this analysis. Preoperative and 6-month postoperative HOOS-12 and KOOS-12 domain and summary impact scores plus a rating of patient-perceived change after surgery (on a 5-point scale ranging from “much worse” to “much better”) were available. Three anchor-based approaches—mean change, receiver operating characteristics (ROC) based on Youden’s J statistic, and predictive modeling using a binary logistic regression model—were used to calculate MCICs based on patient-perceived change. Results: Data were available for 1,490 patients treated with total hip replacement (THR) (mean age, 66 years; 54% female) and 1,931 patients treated with total knee replacement (TKR) (mean age, 66 years; 55% female). Using the mean change method, the MCIC ranged from 24.0 to 27.5 points for the HOOS-12 and 17.5 to 21.8 points for the KOOS-12. The ROC analyses generated comparable MCIC values (28.1 for HOOS-12 and a range of 15.6 to 21.9 for KOOS-12) with high sensitivity and specificity. Lower estimates were derived from predictive modeling following adjustment for the proportion of improved patients (range, 15.7 to 19.2 for HOOS-12 and 14.2 to 16.5 for KOOS-12). Conclusions: We report MCIC values for the HOOS-12 and KOOS-12 instruments that we derived using 3 different methods. As estimates obtained using predictive modeling can be adjusted for the proportion of improved patients, these may be the most clinically applicable. These MCIC values can be used to interpret important changes in pain, function, and quality of life from the patient’s perspective. Levels of Evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
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关节置换术后HOOS-12和KOOS-12评分的微小临床重要变化
背景:为了让患者报告的结果测量(PROMs)提供有意义的信息来支持临床护理,我们需要了解对患者重要的变化幅度。本研究的目的是评估在接受骨关节炎关节置换术的患者中,12项髋关节残疾和骨关节炎结局评分(HOOS-12)和膝关节损伤和骨关节炎结局评分(KOOS-12)的最小临床重要变化(MCICs)。方法:来自澳大利亚骨科协会国家关节置换登记试点项目的个人数据用于分析。术前和术后6个月HOOS-12和KOOS-12领域评分和综合影响评分加上术后患者感知变化评分(5分制,从“差得多”到“好得多”)。采用三种基于锚点的方法——平均变化、基于Youden 's J统计量的受试者工作特征(ROC)和基于二元logistic回归模型的预测建模——计算基于患者感知变化的MCICs。结果:1490例接受全髋关节置换术(THR)治疗的患者(平均年龄66岁;54%为女性)和1,931例接受全膝关节置换术(TKR)的患者(平均年龄66岁;55%的女性)。使用平均变化法,hos -12的MCIC在24.0到27.5点之间,KOOS-12的MCIC在17.5到21.8点之间。ROC分析产生了相当的MCIC值(HOOS-12为28.1,KOOS-12为15.6至21.9),具有很高的敏感性和特异性。根据改善患者比例调整后的预测模型得出较低的估计值(HOOS-12为15.7至19.2,KOOS-12为14.2至16.5)。结论:我们报告了使用3种不同方法得出的HOOS-12和KOOS-12仪器的MCIC值。由于使用预测模型获得的估计值可以根据改善患者的比例进行调整,因此这些估计值可能是最具临床适用性的。这些MCIC值可用于从患者的角度解释疼痛、功能和生活质量的重要变化。证据等级:预后III级。有关证据水平的完整描述,请参见作者说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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