Effectiveness of Composite Ayurveda Regimen in a Black Box Design for the Management of Rheumatoid Arthritis: Protocol of a Single Arm, Community-Based Study.

IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES JMIR Research Protocols Pub Date : 2025-02-18 DOI:10.2196/57918
Deepa Makhija, Sunita Mata, Abha Sharma, Kalpana Kachare, Aparna Manathottathil, Seema Jain, Sophia Jameela, Bhogavalli Chandrasekhara Rao, Rakesh Rana, Arunabh Tripathi, Kiran Rana, Vandana Joshi, Anukampa Singh, Narayanam Srikanth, Rabinarayan Acharya
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Abstract

Background: Rheumatoid arthritis (RA) is an autoimmune disease that affects joints and can have extra-articular manifestations. RA usually tends to be progressive and leads to substantial health care burdens, both in terms of disability and economic costs. Despite the various treatment modalities available, there is still an urgent need for safe and effective medicine based on the pattern of disease presentation. The increasing interest in complementary and alternative medicine has created a demand for extensive research in this area.

Objective: This clinical study is designed to evaluate the effectiveness and tolerability of a composite Ayurveda regimen in RA.

Methods: The study is a single-arm (pre-post design), community-based interventional study with a black box design being conducted at 6 study centers. A total of 240 participants aged between 18 and 65 years, diagnosed with RA as per the 2010 American College of Rheumatology and the European League Against Rheumatism criteria are recruited as per the selection criteria. All the participants received Ayush-SG and Rasnasaptak Kashaya for 84 days along with customized treatment as per the disease presentation and associated complaints. The outcome measures include the change in disease activity score (DAS)-28 with erythrocyte sedimentation rate, disease-specific biochemical and inflammatory markers, Disability Index score, change in the participant's assessment of pain and frequency of use of conventional analgesics or nonsteroidal anti-inflammatory drugs from baseline. The tolerability of interventions is assessed through the occurrence of adverse events. Categorical variables will be analyzed with McNemar chi-square test, and continuous variables will be assessed using the paired t test or Wilcoxon test for pre-post assessment. The level of significance will be 5%.

Results: The recruitment of participants was initiated in December 2023. The participant recruitment was completed in March 2024 and out of 240 participants enrolled, 222 (92.5%) completed the study up to the last follow-up. Data verification, compilation, and analysis are under process. After data analysis, the study's findings will be published in a peer-reviewed journal.

Conclusions: This interventional study that incorporates the black box approach may provide a strong framework for managing RA. This design is a more reliable method for evaluating the effectiveness and tolerability of the composite Ayurveda regimen in RA.

Trial registration: Clinical Trial Registry-India CTRI/2023/06/054203; https://tinyurl.com/4prvwr6z.

International registered report identifier (irrid): DERR1-10.2196/57918.

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复方阿育吠陀治疗类风湿关节炎黑盒设计的有效性:单组社区研究方案
背景:类风湿性关节炎(RA)是一种影响关节的自身免疫性疾病,可有关节外表现。类风湿性关节炎往往是进行性的,在残疾和经济成本方面都会导致大量的医疗负担。尽管有各种可用的治疗方式,但仍然迫切需要基于疾病表现模式的安全有效的药物。对补充和替代医学的兴趣日益增加,这一领域需要进行广泛的研究。目的:本临床研究旨在评估复方阿育吠陀治疗类风湿性关节炎的有效性和耐受性。方法:本研究采用单臂(前后设计)、黑箱设计、以社区为基础的介入研究,在6个研究中心进行。根据选择标准,共招募240名年龄在18至65岁之间,根据2010年美国风湿病学会和欧洲抗风湿病联盟的标准诊断为类风湿性关节炎的参与者。所有参与者接受Ayush-SG和Rasnasaptak Kashaya治疗84天,并根据疾病表现和相关投诉进行定制治疗。结果测量包括疾病活动性评分(DAS)-28与红细胞沉降率的变化,疾病特异性生化和炎症标志物,残疾指数评分,参与者疼痛评估的变化以及使用常规镇痛药或非甾体抗炎药的频率。通过不良事件的发生来评估干预措施的耐受性。分类变量采用McNemar卡方检验进行分析,连续变量采用配对t检验或Wilcoxon检验进行前后评价。显著性水平为5%。结果:参与者的招募于2023年12月开始。参与者招募于2024年3月完成,在240名参与者中,222名(92.5%)完成了最后一次随访。数据验证、汇编和分析正在进行中。经过数据分析,研究结果将发表在同行评议的期刊上。结论:结合黑盒方法的介入研究可能为类风湿关节炎的管理提供一个强有力的框架。本设计是评估复方阿育吠陀治疗RA的有效性和耐受性的更可靠的方法。试验注册:Clinical Trial Registry-India CTRI/2023/06/054203;https://tinyurl.com/4prvwr6z.International注册报告标识符(irrid): DERR1-10.2196/57918。
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CiteScore
2.40
自引率
5.90%
发文量
414
审稿时长
12 weeks
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