保守治疗膝骨关节炎患者5个月后健康相关生活质量的临床预测规则

Physical therapy research Pub Date : 2024-01-01 Epub Date: 2024-11-28 DOI:10.1298/ptr.E10296
Shunsuke Yamashina, Tetsuya Amano, Shigeharu Tanaka, Yu Inoue, Ryo Tanaka
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引用次数: 0

摘要

目的:本研究旨在获得一种临床预测规则(CPR),可以预测保守治疗的膝骨关节炎(KOA)患者5个月时健康相关生活质量的变化。方法:在门诊接受物理治疗和运动治疗的KOA患者为研究对象。基线时记录基本特征、医学信息和运动功能测试结果。主要结局指标是基线测量后5个月日本膝骨关节炎测量(JKOM)的变化。以基本特征、医学信息、运动功能测试结果为自变量,以5个月后JKOM变化(改善组≥8)为因变量,进行决策树分析。结果:分析87例患者资料。变量包括视觉模拟量表评分、双侧KOA、5米步行测试、JKOM和体重指数。从终端节点获得6个cpr。模型对整个决策树的准确性验证显示,接收者工作特征曲线下的面积为0.87(验证数据为0.83),正似然比为2.6,负似然比为0.1。结论:这种心肺复苏术是一种检查特征,可以排除基于阴性结果的事件发生的可能性。然而,由于本研究结果代表了心肺复苏术在实际临床实践中应用的第一个过程,因此应牢记其应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Clinical Prediction Rule for Predicting the Health-related Quality of Life after 5 Months in Patients with Knee Osteoarthritis Undergoing Conservative Treatment.

A Clinical Prediction Rule for Predicting the Health-related Quality of Life after 5 Months in Patients with Knee Osteoarthritis Undergoing Conservative Treatment.

A Clinical Prediction Rule for Predicting the Health-related Quality of Life after 5 Months in Patients with Knee Osteoarthritis Undergoing Conservative Treatment.

Objective: This study aimed to derive a clinical prediction rule (CPR) that can predict changes in health-related quality of life at 5 months for patients with knee osteoarthritis (KOA) undergoing conservative treatment.

Methods: Patients with KOA receiving physical therapy and exercise therapy at an outpatient clinic were included in this study. The basic characteristics, medical information, and motor function test results were recorded at baseline. The primary outcome measure was the change in the Japan Knee Osteoarthritis Measure (JKOM) 5 months after the baseline measurement. A decision tree analysis was performed with the basic characteristics, medical information, and the motor function test results as the independent variables and the changes in the JKOM after 5 months (≥8 in the improved groups) as the dependent variable.

Results: Analyzed data from 87 patients. The variables included the visual analog scale score, bilateral KOA, 5-m walk test, JKOM, and body mass index. Six CPRs were obtained from the terminal nodes. Accuracy validation of the model for the entire decision tree revealed an area under the receiver operating characteristic curve of 0.87 (validation data: 0.83), a positive likelihood ratio of 2.6, and a negative likelihood ratio of 0.1.

Conclusion: This CPR is an inspection characteristic that can exclude the possibility of the occurrence of an event based on a negative result. However, since the results of this study represent the first process of utilizing the CPR in actual clinical practice, its application should be kept in mind.

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