Department for Orthopedics and Traumatology, Kepler University Hospital GmbH, Krankenhausstrasse 9, 4020, Linz, Austria.
Johannes Kepler University Linz, Altenberger Strasse 69, 4040, Linz, Austria.
J Orthop Traumatol. 2023 Aug 17;24(1):44. doi: 10.1186/s10195-023-00722-6.
The Oxford Knee Score (OKS) has been designed for patients with knee osteoarthritis and has a widespread use. It has 12 questions, with each question having the same weight for the overall score. Some authors have observed a significant ceiling effect, especially when distinguishing slight postoperative differences. We hypothesized that each questions' weight will depend significantly on the patient's sociodemographic data and lifestyle.
In this international multicentric prospective study, we included patients attending a specialist outpatient knee clinic. Each patient filled out 3 questionnaires: (a) demographic data and data pertaining to the OKS, (b) the standard OKS, and (c) the patient gave a mark on the weight of the importance of each question, using a 5-point Likert scale (G OKS). Linear regression models were used for the analysis.
In total 203 patients (106 female and 97 male) with a mean age of 64.5 (±12.7) years and a mean body mass index (BMI) of 29.34 (±5.45) kg/m were included. The most important questions for the patients were the questions for pain, washing, night pain, stability, and walking stairs with a median of 5. In the regression models, age, gender, and driving ability were the most important factors for the weight of each of the question.
The questions in the OKS differ significantly in weight for each patient, based on sociodemographic data, such as age, self-use of a car, and employment. With these differences, the Oxford Knee Score might be limited as an outcome measure. Adjustment of the OKS that incorporates the demographic differences into the final score might be useful if the ceiling effect is to be mitigated.
Level II prospective prognostic study.
牛津膝关节评分（OKS）专为膝关节骨关节炎患者设计，应用广泛。它有 12 个问题，每个问题对总分的权重相同。一些作者观察到了显著的天花板效应，尤其是在区分轻微术后差异时。我们假设每个问题的权重将显著取决于患者的社会人口统计学数据和生活方式。
在这项国际多中心前瞻性研究中，我们纳入了在膝关节专科门诊就诊的患者。每位患者填写了 3 份问卷：（a）人口统计学数据和与 OKS 相关的数据，（b）标准 OKS，（c）患者使用 5 分 Likert 量表（G OKS）对每个问题的重要性进行标记。使用线性回归模型进行分析。
共纳入 203 例患者（106 例女性和 97 例男性），平均年龄 64.5（±12.7）岁，平均 BMI 为 29.34（±5.45）kg/m2。患者最重要的问题是疼痛、洗涤、夜间疼痛、稳定性和爬楼梯，中位数为 5 分。在回归模型中，年龄、性别和驾驶能力是每个问题权重的最重要因素。
根据社会人口统计学数据，如年龄、是否自用汽车和就业情况，OKS 中的问题对每个患者的权重存在显著差异。由于这些差异，Oxford Knee Score 可能作为一种结果衡量标准受到限制。如果要减轻天花板效应，则可能需要将 OKS 调整为将人口统计学差异纳入最终评分。
II 级前瞻性预后研究。
