Department of Rheumatology, Leiden University Medical Center, Leiden, the Netherlands.
Department of Orthopedics, Leiden University Medical Center, Leiden, the Netherlands; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
J Arthroplasty. 2021 Aug;36(8):2779-2787.e4. doi: 10.1016/j.arth.2021.03.050. Epub 2021 Mar 30.
We aimed to investigate the application of the Knee Injury and Osteoarthritis Outcome Score (KOOS) percentile curves, using preoperative and postoperative data of patients with knee osteoarthritis undergoing total knee arthroplasty (TKA).
We used Longitudinal Leiden Orthopedics Outcomes of Osteo-Arthritis study data of patients between 45 and 65 years and undergoing primary TKA. KOOS scores (0-100) were obtained preoperatively and 6, 12, and 24 months after TKA. Preoperative knee radiographs were assessed according to Kellgren-Lawrence (KL) in a subset (37%) of patients. Comorbidities were self-reported using a standardized questionnaire. The median (interquartile range) population-level KOOS scores were plotted on previously developed population-based KOOS percentile curves. In addition, we assessed the application of the curves on patient level and investigated differences in scores between patients with preoperative KL scores ≤2 and ≥3 and presence (vs absence) of comorbidities.
The study population consisted of 853 patients (62% women, mean age 59 years, body mass index 30 kg/m) with knee osteoarthritis undergoing primary TKA. Preoperatively, median KOOS scores of all subscales were at or below the 2.5 percentile. Scores increased to approximately the 25 percentile 12 months postoperatively. Greater improvements were observed in pain and less improvements in sport and recreational function and quality of life. Patients with higher preoperative KL scores and without comorbidities showed greater improvements.
The KOOS percentile curves provided visual insights in knee complaints of patients relative to the general population. Furthermore, the KOOS percentile curves give insight in how preoperative patient characteristics are correlated with postoperative results.
本研究旨在探讨应用膝关节损伤和骨关节炎结局评分(KOOS)百分位曲线,对接受全膝关节置换术(TKA)的膝关节骨关节炎患者的术前和术后数据进行分析。
我们使用莱顿纵向骨关节炎研究(Leiden Longitudinal Osteoarthritis Studies)中年龄在 45 至 65 岁之间且初次接受 TKA 的患者数据。在 TKA 术前、术后 6、12 和 24 个月时,患者的 KOOS 评分(0-100 分)。在患者亚组(37%)中,根据 Kellgren-Lawrence(KL)分级对术前膝关节 X 线片进行评估。使用标准化问卷报告合并症情况。将人群水平的 KOOS 评分中位数(四分位距)绘制在先前开发的基于人群的 KOOS 百分位曲线。此外,我们评估了曲线在患者水平上的应用,并比较了术前 KL 评分≤2 和≥3 的患者以及存在(或不存在)合并症的患者之间的评分差异。
本研究共纳入 853 例(62%为女性,平均年龄 59 岁,BMI 30 kg/m)接受初次 TKA 的膝关节骨关节炎患者。所有亚组的术前 KOOS 评分中位数均处于或低于第 2.5 百分位。术后 12 个月,评分增加至大约第 25 百分位。疼痛方面的改善更大,而运动和娱乐功能以及生活质量方面的改善较小。术前 KL 评分较高且无合并症的患者,改善更为明显。
KOOS 百分位曲线提供了患者膝关节问题相对于一般人群的直观信息。此外,KOOS 百分位曲线还可以深入了解术前患者特征与术后结果的相关性。