计算机导航和患者专用仪器对原发性TKR后翻修风险、prom和死亡率的影响:国家联合登记数据分析。

IF 4.4 1区 医学 Q1 ORTHOPEDICS
M M Farhan-Alanie, D Gallacher, P Craig, J Griffin, J Kozdryk, J Mason, P D H Wall, J M Wilkinson, A Metcalfe, P Foguet
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We aimed to investigate their influence on implant survival, outcomes of the Oxford Knee Score (OKS) and health-related quality of life (EQ-5D-3L), intraoperative complications, and postoperative mortality compared with conventional instrumentation, across a real-world population.</p><p><strong>Methods: </strong>This observational study used National Joint Registry (NJR) data and included adult patients who underwent primary TKR for osteoarthritis between April 1, 2003, and December 31, 2020. The primary analysis evaluated revision for all causes, and secondary analyses evaluated differences in the OKS and EQ-5D-3L at 6 months postoperatively, and mortality within 1 year postoperatively. Weights based on propensity scores were generated, accounting for several covariates. A Cox proportional hazards model was used to assess revision and mortality outcomes. Generalized linear models were used to evaluate differences in the OKS and EQ-5D-3L. 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引用次数: 0

摘要

背景:在过去的二十年中,计算机导航和患者专用仪器被用于全膝关节置换术(TKR)。然而,它们对种植体存活和患者报告结果的影响仍存在争议。我们的目的是在现实世界的人群中研究它们对植入物存活、牛津膝关节评分(OKS)结果和健康相关生活质量(EQ-5D-3L)、术中并发症和术后死亡率的影响。方法:这项观察性研究使用了国家联合登记处(NJR)的数据,纳入了2003年4月1日至2020年12月31日期间因骨关节炎接受原发性TKR的成年患者。主要分析评估了所有原因的修订,次要分析评估了术后6个月OKS和EQ-5D-3L的差异,以及术后1年内的死亡率。基于倾向得分生成权重,考虑几个协变量。Cox比例风险模型用于评估修订和死亡率结果。采用广义线性模型评价OKS和EQ-5D-3L的差异。计算有效样本量,并表示与未加权样本相当的统计能力。结果:与传统器械相比,使用计算机导航和患者专用器械进行TKR后全因修正的风险比(hr)为0.937(95%可信区间[CI], 0.860 ~ 1.021;P = 0.136;有效样本量[ESS] = 91,607)和0.960 (95% CI, 0.735 ~ 1.252;P = 0.761;ESS = 13297)。传统TKR和计算机导航TKR的OKS和EQ-5D-3L无差异(OKS, -0.134 [95% CI, -0.331至0.063];P = 0.183;Ess = 29,135;EQ-5D-3L, 0.000 [95% CI, -0.005 ~ 0.005];P = 0.929;ESS = 28,396),在常规TKR和患者专用器械TKR之间(OKS, 0.363 [95% CI, -0.104至0.830];P = 0.127;Ess = 4,412;EQ-5D-3L为0.004 [95% CI, -0.009 ~ 0.018];P = 0.511;Ess = 4285)。术后1年内,常规器械与计算机导航或患者专用器械的死亡率相似(HR, 1.020 [95% CI, 0.989 ~ 1.052];P = 0.212;Ess = 110,125)。结论:在这项大型注册研究的基础上,我们得出结论,计算机导航和患者特异性仪器对原发性TKR后的修改风险、患者报告的结果或死亡率没有统计学或临床意义的影响。证据等级:治疗性II级。有关证据水平的完整描述,请参见作者说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effects of Computer Navigation and Patient-Specific Instrumentation on Risk of Revision, PROMs, and Mortality Following Primary TKR: An Analysis of National Joint Registry Data.

Background: Computer navigation and patient-specific instrumentation have been in use over the past 2 decades for total knee replacement (TKR). However, their effects on implant survival and patient-reported outcomes remain under debate. We aimed to investigate their influence on implant survival, outcomes of the Oxford Knee Score (OKS) and health-related quality of life (EQ-5D-3L), intraoperative complications, and postoperative mortality compared with conventional instrumentation, across a real-world population.

Methods: This observational study used National Joint Registry (NJR) data and included adult patients who underwent primary TKR for osteoarthritis between April 1, 2003, and December 31, 2020. The primary analysis evaluated revision for all causes, and secondary analyses evaluated differences in the OKS and EQ-5D-3L at 6 months postoperatively, and mortality within 1 year postoperatively. Weights based on propensity scores were generated, accounting for several covariates. A Cox proportional hazards model was used to assess revision and mortality outcomes. Generalized linear models were used to evaluate differences in the OKS and EQ-5D-3L. Effective sample sizes were computed and represent the statistical power comparable with an unweighted sample.

Results: Compared to conventional instrumentation, the hazard ratios (HRs) for all-cause revision following TKR performed using computer navigation and patient-specific instrumentation were 0.937 (95% confidence interval [CI], 0.860 to 1.021; p = 0.136; effective sample size [ESS] = 91,607) and 0.960 (95% CI, 0.735 to 1.252; p = 0.761; ESS = 13,297), respectively. No differences were observed in the OKS and EQ-5D-3L between conventional and computer-navigated TKR (OKS, -0.134 [95% CI, -0.331 to 0.063]; p = 0.183; ESS = 29,135; and EQ-5D-3L, 0.000 [95% CI, -0.005 to 0.005]; p = 0.929; ESS = 28,396) and between conventional TKR and TKR with patient-specific instrumentation (OKS, 0.363 [95% CI, -0.104 to 0.830]; p = 0.127; ESS = 4,412; and EQ-5D-3L, 0.004 [95% CI, -0.009 to 0.018]; p = 0.511; ESS = 4,285). Mortality within 1 year postoperatively was similar between conventional instrumentation and either computer navigation or patient-specific instrumentation (HR, 1.020 [95% CI, 0.989 to 1.052]; p = 0.212; ESS = 110,125).

Conclusions: On the basis of this large registry study, we conclude that computer navigation and patient-specific instrumentation have no statistically or clinically meaningful effect on the risk of revision, patient-reported outcomes, or mortality following primary TKR.

Level of evidence: Therapeutic Level II . See Instructions for Authors for a complete description of levels of evidence.

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来源期刊
CiteScore
8.90
自引率
7.50%
发文量
660
审稿时长
1 months
期刊介绍: The Journal of Bone & Joint Surgery (JBJS) has been the most valued source of information for orthopaedic surgeons and researchers for over 125 years and is the gold standard in peer-reviewed scientific information in the field. A core journal and essential reading for general as well as specialist orthopaedic surgeons worldwide, The Journal publishes evidence-based research to enhance the quality of care for orthopaedic patients. Standards of excellence and high quality are maintained in everything we do, from the science of the content published to the customer service we provide. JBJS is an independent, non-profit journal.
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