Kim Andrew G, Bernhard Zachary, Acuña Alexander J, Wu Victoria S, Kamath Atul F
Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA.
Center for Hip Preservation, Orthopaedic and Rheumatologic Institute, Cleveland Clinic Foundation, 9500 Euclid Ave, Mail Code A41, Cleveland, OH, 44195, USA.
Knee Surg Sports Traumatol Arthrosc. 2023 Apr;31(4):1370-1381. doi: 10.1007/s00167-022-07098-w. Epub 2022 Aug 19.
Our systematic review and meta-analysis sought to assess how technology-assistance impacts (1) post-operative pain and (2) opioid use in patients undergoing primary total knee arthroplasty (TKA).
Four online databases were queried for studies published up to October 2021 that reported on pain and opioid usage between technology-assisted and manual TKA (mTKA) patients. Mantel-Haenszel (M-H) models were utilized to calculate pooled mean difference (MDs) and 95% confidence interval (CIs). Subgroup analyses were conducted to isolate robotic-arm assisted (RAA) and computed-assisted navigation (CAN) cohorts. Risk of bias was assessed for all included non-randomized studies with the Methodological Index for Non-Randomized Studies (MINORS) tool. For the randomized control trials included in our study, the Detsky scale was applied.
Our analysis included 31 studies, reporting on a total of 761,300 TKAs (mTKA: n = 753,554; Computer-Assisted Navigation (CAN): n = 1,309; Robotic-Arm Assisted (RAA): n = 6437). No differences were demonstrated when evaluating WOMAC (MD: 0.00, 95% CI - 0.69 to 0.69; p = 1.00), KSS (MD: 0.01, 95% CI - 1.46 to 1.49; p = 0.99), KOOS (MD - 2.91, 95% CI - 6.17 to 0.34; p = 0.08), and VAS (MD - 0.54, 95% CI - 1.01 to - 0.007; p = 0.02) pain scores between cohorts. There was mixed evidence regarding how opioid consumption differed between TKA techniques.
The present analysis demonstrated no difference in terms of pain across a variety of utilized patient-reported pain measurements. However, there were mixed results regarding how opioid consumption varied between manual and technology-assisted cohorts, particularly in the immediate post-operative period.
III.
我们的系统评价和荟萃分析旨在评估技术辅助对初次全膝关节置换术(TKA)患者(1)术后疼痛和(2)阿片类药物使用的影响。
查询了四个在线数据库,以获取截至2021年10月发表的关于技术辅助TKA患者与手动TKA(mTKA)患者的疼痛和阿片类药物使用情况的研究。采用Mantel-Haenszel(M-H)模型计算合并平均差(MDs)和95%置信区间(CIs)。进行亚组分析以分离机器人手臂辅助(RAA)和计算机辅助导航(CAN)队列。使用非随机研究方法学指数(MINORS)工具对所有纳入的非随机研究进行偏倚风险评估。对于我们研究中纳入的随机对照试验,应用Detsky量表。
我们的分析纳入了31项研究,共报告了761,300例TKA(mTKA:n = 753,554;计算机辅助导航(CAN):n = 1,309;机器人手臂辅助(RAA):n = 6,437)。在评估WOMAC(MD:0.00,95%CI -0.69至0.69;p = 1.00)、KSS(MD:0.01,95%CI -1.46至1.49;p = 0.99)、KOOS(MD -2.91,95%CI -6.17至0.34;p = 0.08)和VAS(MD -0.54,95%CI -1.01至-0.007;p = 0.02)疼痛评分时,各队列之间未显示出差异。关于不同TKA技术之间阿片类药物消耗的差异,证据不一。
本分析表明,在各种使用的患者报告疼痛测量指标方面,疼痛没有差异。然而,关于手动和技术辅助队列之间阿片类药物消耗如何变化,结果不一,特别是在术后即刻。
III级。