Efficacy of Different Acupuncture Techniques for Pain and Dysfunction in Patients with Knee Osteoarthritis: A Randomized Controlled Trial

不同针灸技术治疗膝骨关节炎患者疼痛和功能障碍的疗效:一项随机对照试验

阅读:1

Abstract

INTRODUCTION: Various acupuncture techniques are widely applied in clinics for pain control and dysfunction relief in patients with knee osteoarthritis (KOA). The purpose of this trial was to investigate whether the different acupuncture techniques were more effective in treating joint pain and dysfunction than were sham acupuncture or drug treatment in patients with KOA and to determine the differences in efficacy among them. METHODS: In this multi-center, single-blind, randomized, controlled trial, participants were randomly assigned to the manual acupuncture (MA), electroacupuncture (EA), warm-needling acupuncture (WA), mild moxibustion (MM), sham acupuncture (SA), or drug treatment (Celebrex) groups. Each participant in the above groups received individual treatments for 4 consecutive weeks. The primary outcome measures included the visual analog scale score (VAS) and the physical function score of the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). RESULTS: Compared with the SA group, the acupuncture technique groups (MA, EA, WA, and MM) had markedly lower patient VAS scores (- 0.61; 95% CI - 1.09 to - 0.13; P = 0.01) and lower WOMAC physical function scores (- 13.84; 95% CI - 21.14 to - 6.54; P < 0.01). Compared with Celebrex, EA had a significant advantage in reducing the VAS score (1.14; 95% CI 0.55 to 1.72; P < 0.01) and WOMAC physical function score (14.81; 95% CI 5.69 to 23.93; P < 0.01). CONCLUSIONS: The observed acupuncture techniques effectively relieve pain and ameliorate knee joint dysfunction in patients with KOA. EA is the most effective method of alleviating pain intensity in treating KOA. TRIAL REGISTRATION: The trial was registered on ClinicalTrials.gov (NCT03563690).

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。