Finnilä Sami, Löyttyniemi Eliisa, Aro Hannu T
Department of Orthopaedic Surgery and Traumatology Turku University Hospital and University of Turku Turku Finland.
Unit of Biostatistics, Department of Clinical Medicine University of Turku Turku Finland.
JBMR Plus. 2021 Dec 14;6(2):e10588. doi: 10.1002/jbm4.10588. eCollection 2022 Feb.
In cementless total hip arthroplasty, adequate implant stability is necessary for the success of osseointegration and rapid clinical recovery. Postoperative femoral stem migration, measured by radiostereometric analysis (RSA), defines the initial stability achieved during surgical implantation. In a recent trial of 65 postmenopausal women randomized 1:1 denosumab:placebo, denosumab failed to reduce the initial migration of a cementless femoral stem despite the successful prevention of periprosthetic bone loss. The trial applied the current RSA standard, which examined stem migration on an axis-by-axis basis and did not consider more complex three-dimensional (3D) migration. Therefore, we performed a reanalysis of the trial data using a multivariate hierarchical linear mixed model (LMM). As an additional limitation, the data included influential outliers. Women with normal bone mineral density exhibited significantly ( = 0.036) less stem subsidence compared with osteopenic and osteoporotic women. Denosumab significantly decreased the variance of stem migration in osteopenic and osteoporotic women. The mean magnitude of 3D stem migration did not differ between denosumab-treated and placebo-treated women ( = 0.820). After application of a common statistical definition for RSA outlier identification, there were eight (12%) outliers, six in the placebo group and two in the denosumab group ( = 0.149). After exclusion of the outliers, the repeated LMM analysis demonstrated a trending difference in 3D stem migration ( = 0.086), with a significant difference of -axis rotation (valgus-varus tilt) of the femoral stem ( = 0.029). The observed effect size was small and without clinically important differences in postoperative recovery. Based on a Monte Carlo simulation with random-generated 3D migration data, multivariate LMM showed greater statistical power than univariate analyses. The application of hierarchical LMM facilitated the analysis of implant migration as a factual 3D event. The observed trend in the lower number of RSA outliers in denosumab-treated subjects warrants powered large-scale trials. © 2021 The Authors. published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
在非骨水泥型全髋关节置换术中,足够的植入物稳定性对于骨整合的成功和快速的临床恢复至关重要。通过放射立体测量分析(RSA)测量的术后股骨柄迁移定义了手术植入期间实现的初始稳定性。在最近一项针对65名绝经后女性的试验中,以1:1的比例随机分为地诺单抗组和安慰剂组,尽管成功预防了假体周围骨丢失,但地诺单抗未能减少非骨水泥型股骨柄的初始迁移。该试验采用了当前的RSA标准,该标准逐轴检查柄的迁移,未考虑更复杂的三维(3D)迁移。因此,我们使用多变量分层线性混合模型(LMM)对试验数据进行了重新分析。作为另一个局限性,数据中包括有影响的异常值。与骨质减少和骨质疏松的女性相比,骨密度正常的女性股骨柄下沉明显更少(P = 0.036)。地诺单抗显著降低了骨质减少和骨质疏松女性股骨柄迁移的方差。地诺单抗治疗组和安慰剂治疗组女性的3D股骨柄迁移平均幅度没有差异(P = 0.820)。在应用RSA异常值识别的通用统计定义后,有8个(12%)异常值,安慰剂组6个,地诺单抗组2个(P = 0.149)。排除异常值后,重复的LMM分析显示3D股骨柄迁移存在趋势性差异(P = 0.086),股骨柄的前后轴旋转(外翻-内翻倾斜)有显著差异(P = 0.029)。观察到的效应大小较小,术后恢复没有临床重要差异。基于随机生成的3D迁移数据的蒙特卡罗模拟,多变量LMM显示出比单变量分析更大的统计功效。分层LMM的应用有助于将植入物迁移作为实际的3D事件进行分析。在地诺单抗治疗的受试者中观察到的RSA异常值数量较少的趋势值得进行有足够样本量的大规模试验。© 2021作者。由Wiley Periodicals LLC代表美国骨与矿物质研究学会出版。