Maempel J F, Clement N D, Brenkel I J, Walmsley P J
Victoria Hospital, Hayfield Road, Kirkcaldy KY2 5AH, UK.
Bone Joint J. 2015 Apr;97-B(4):503-9. doi: 10.1302/0301-620X.97B4.34867.
This study demonstrates a significant correlation between the American Knee Society (AKS) Clinical Rating System and the Oxford Knee Score (OKS) and provides a validated prediction tool to estimate score conversion. A total of 1022 patients were prospectively clinically assessed five years after TKR and completed AKS assessments and an OKS questionnaire. Multivariate regression analysis demonstrated significant correlations between OKS and the AKS knee and function scores but a stronger correlation (r = 0.68, p < 0.001) when using the sum of the AKS knee and function scores. Addition of body mass index and age (other statistically significant predictors of OKS) to the algorithm did not significantly increase the predictive value. The simple regression model was used to predict the OKS in a group of 236 patients who were clinically assessed nine to ten years after TKR using the AKS system. The predicted OKS was compared with actual OKS in the second group. Intra-class correlation demonstrated excellent reliability (r = 0.81, 95% confidence intervals 0.75 to 0.85) for the combined knee and function score when used to predict OKS. Our findings will facilitate comparison of outcome data from studies and registries using either the OKS or the AKS scores and may also be of value for those undertaking meta-analyses and systematic reviews.
本研究表明美国膝关节协会(AKS)临床评分系统与牛津膝关节评分(OKS)之间存在显著相关性,并提供了一种经过验证的预测工具来估计评分转换。共有1022例患者在全膝关节置换术(TKR)后5年进行了前瞻性临床评估,完成了AKS评估和OKS问卷。多变量回归分析表明OKS与AKS膝关节评分和功能评分之间存在显著相关性,但使用AKS膝关节评分与功能评分之和时相关性更强(r = 0.68,p < 0.001)。将体重指数和年龄(OKS的其他统计学显著预测因素)添加到算法中并未显著提高预测价值。使用简单回归模型对一组236例在TKR后9至10年使用AKS系统进行临床评估的患者的OKS进行预测。将预测的OKS与第二组中的实际OKS进行比较。组内相关性显示,当用于预测OKS时,膝关节和功能综合评分具有出色的可靠性(r = 0.81,95%置信区间0.75至0.85)。我们的研究结果将有助于比较使用OKS或AKS评分的研究和登记处的结果数据,对于那些进行荟萃分析和系统评价的人也可能有价值。