Chang Chong Bum, Koh In Jun, Seo Eun Seok, Kang Yeon Gwi, Seong Sang Cheol, Kim Tae Kyun
Joint Reconstruction Center, Seoul National University Bundang Hospital, Seongnamsi, Seoul, South Korea.
Knee. 2011 Dec;18(6):456-60. doi: 10.1016/j.knee.2010.08.010. Epub 2010 Sep 17.
Information concerning the abilities of radiographic parameters to predict the symptoms of advanced osteoarthritis (OA) of the knee would be valuable, because plain knee radiographs are used as one of the primary tools for the selection of treatment modalities. We aimed to identify the radiographic predictors of symptom severity in patients with varus knee OA advanced enough to warrant total knee arthroplasty (TKA). In 341 knees with primary varus OA warranting TKA, pertinent radiographic features of the medial and lateral tibiofemoral joint (TFJ), and the patellofemoral joint (PFJ) were assessed separately and scored. In addition, TF alignment was assessed on standing full-limb radiographs. Symptoms and functions were evaluated using WOMAC pain and function scores. In the univariate analyses with generalized estimating equations (GEE), multiple radiographic features (subluxation of the TFJ, overall severity of the medial TFJ, and degree of TF varus alignment) were associated with poorer WOMAC function scores, whereas only the degree of TF varus alignment was associated with poorer WOMAC pain scores. None of radiographic parameters in the PFJ or lateral TFJ (except TFJ subluxation) was associated with WOMAC scores. Multivariate analyses revealed that the degree of TF varus alignment was the strongest predictor of poorer WOMAC pain and function scores. We propose that extent of TF varus malalignment should be considered as the primary indicator of objective disease severity when selecting treatment options for patients with advanced knee OA.
有关影像学参数预测膝关节晚期骨关节炎(OA)症状能力的信息将很有价值,因为普通膝关节X线片是选择治疗方式的主要工具之一。我们旨在确定内翻膝OA患者中症状严重程度的影像学预测指标,这些患者病情严重到需要进行全膝关节置换术(TKA)。在341例需要TKA的原发性内翻OA膝关节中,分别评估并评分了内侧和外侧胫股关节(TFJ)以及髌股关节(PFJ)的相关影像学特征。此外,在站立位全下肢X线片上评估TF对线情况。使用WOMAC疼痛和功能评分评估症状和功能。在采用广义估计方程(GEE)的单变量分析中,多种影像学特征(TFJ半脱位、内侧TFJ的整体严重程度以及TF内翻对线程度)与较差的WOMAC功能评分相关,而只有TF内翻对线程度与较差的WOMAC疼痛评分相关。PFJ或外侧TFJ的影像学参数(TFJ半脱位除外)均与WOMAC评分无关。多变量分析显示,TF内翻对线程度是WOMAC疼痛和功能评分较差的最强预测指标。我们建议,在为晚期膝OA患者选择治疗方案时,应将TF内翻畸形的程度视为客观疾病严重程度的主要指标。