Department of Surgery, Faculty of Medical and Health Sciences (FMHS), University of Auckland, Auckland, New Zealand; Department of Orthopaedic Surgery, North Shore Hospital, Auckland, New Zealand.
Department of Orthopaedic Surgery, Auckland City Hospital, Auckland, New Zealand; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
J Arthroplasty. 2023 Jul;38(7 Suppl 2):S156-S161.e3. doi: 10.1016/j.arth.2023.03.001. Epub 2023 Mar 9.
The Oxford Knee Score (OKS) is used to measure knee arthroplasty outcomes; however, it is unclear which questions are more relevant. Our aims were to (1) identify which OKS question(s) were the strongest predictors of subsequent revision and (2) compare the predictive ability of the "pain" and "function" domains.
All primary total knee arthroplasties (TKAs) and unicompartmental knee arthroplasties (UKAs) in the New Zealand Joint Registry between 1999 and 2019 with an OKS at 6 months (TKA n = 27,708; UKA n = 8,415), 5 years (TKA n = 11,519; UKA n = 3,365) or 10 years (TKA n = 6,311; UKA n = 1,744) were included. Prediction models were assessed using logistic regressions and receiver operating characteristic analyses.
A reduced model with 3 questions ("overall pain," "limping when walking," "knee giving way") showed better diagnostic ability than full OKS for predicting UKA revision at 6 months (area under the curve [AUC]: 0.80 versus 0.78; P < .01) and 5 years (0.81 versus 0.77; P = .02), and comparable diagnostic ability for predicting TKA revision at all time points (6 months, 0.77 versus 0.76; 5 years, 0.78 versus 0.75; 10 years, 0.76 versus 0.73; all not significant), and UKA revision at 10 years (0.80 versus 0.77; not significant). The pain domain had better diagnostic ability for predicting subsequent revision for both procedures at 5 and 10 years.
Questions on "overall pain", "limping when walking", and "knee giving way" were the strongest predictors of subsequent revision. Attention to low scores from these questions during follow-up may allow for prompt identification of patients most at risk of revision.
牛津膝关节评分(OKS)用于评估膝关节置换术的结果,但尚不清楚哪些问题更相关。我们的目的是:(1)确定哪些 OKS 问题是后续翻修的最强预测因素;(2)比较“疼痛”和“功能”两个领域的预测能力。
纳入新西兰关节登记处 1999 年至 2019 年期间所有初次全膝关节置换术(TKA)和单髁膝关节置换术(UKA)患者的 OKS 评分(TKA:6 个月 n=27708,5 年 n=11519,10 年 n=6311;UKA:6 个月 n=8415,5 年 n=3365,10 年 n=1744)。使用逻辑回归和受试者工作特征分析评估预测模型。
一个包含 3 个问题(“总体疼痛”“行走时跛行”“膝关节打软腿”)的简化模型在预测 UKA 术后 6 个月(曲线下面积 [AUC]:0.80 比 0.78;P<0.01)和 5 年(0.81 比 0.77;P=0.02)的翻修方面优于全 OKS 评分,在所有时间点预测 TKA 翻修(6 个月,0.77 比 0.76;5 年,0.78 比 0.75;10 年,0.76 比 0.73;均无统计学意义)和 UKA 术后 10 年翻修(0.80 比 0.77;无统计学意义)的诊断能力相当。对于两种手术,疼痛域在 5 年和 10 年时对预测后续翻修都有更好的诊断能力。
“总体疼痛”“行走时跛行”和“膝关节打软腿”这 3 个问题是后续翻修的最强预测因素。在随访中注意这些问题的低评分,可能有助于及时识别翻修风险最高的患者。