ChatGPT-4 and Wearable Device Assisted Intelligent Exercise Therapy for Co-existing Sarcopenia and Osteoarthritis (GAISO): A feasibility study and design for a randomized controlled PROBE non-inferiority trial

Author:

Li Jian1ORCID,You Mingke1,Chen Xi1,Li Pengcheng1,Deng Qian1,Wang Kexin1,Wang Li1,Xu Yang1,Liu Di2,Ye Lin3,Chen Gang4,Liu Weizhi4

Affiliation:

1. West China Hospital of Sichuan University

2. Jiakang Zhongzhi Technology Company

3. Univeristy of Chicago

4. West China Hospital

Abstract

Abstract Background Sarcopenia and osteoarthritis are prevalent age-related diseases that mutually exacerbate each other, creating a vicious cycle that worsens both conditions. Exercise is key to breaking this detrimental cycle. Facing increasing demand for rehabilitation services within this patient demographic, ChatGPT-4 and wearable device may increase the availability, efficiency and personalization of such health care. Aim To evaluate the clinical efficacy and cost-effectiveness of a rehabilitation system implemented on mobile platforms, utilizing the integration of ChatGPT-4 and wearable devices. Methods The study design is a prospective randomized open blinded end-point (PROBE) non-inferiority trial. 278 patients diagnosed with osteoarthritis and sarcopenia will be recruited and randomly assigned to the intervention group and the control group. In the intervention group patients receive mobile phone-based rehabilitation service where ChatGPT-4 generates personalized exercise therapy, and wearable device guides and monitor the patient to implement the exercise therapy. Traditional clinic based face-to-face exercise therapy will be prescribed and implemented in the control group. All patients will receive three-months exercise therapies following the FITT-VP principle. The patients will be assessed at baseline, one month, three months, and six months after initiation. Outcome measures will include ROM, gait patterns, Visual Analogue Scale (VAS) for pain assessment, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Knee Injury and Osteoarthritis Outcome Score (KOOS) for functional assessment, Short-Form Health Survey 12 (SF-12) for quality of life, Minimal Clinically Important Difference (MCID), Patient Acceptable Symptom State (PASS), and Substantial Clinical Benefit (SCB) for clinically significant measures. Discussion A rehabilitation system combining the capabilities of ChatGPT-4 and wearable devices potentially enhance the availability and efficiency of professional rehabilitation services, thus enhancing the therapeutic outcomes for a substantial population concurrently afflicted with sarcopenia and osteoarthritis. Trial registration This study has been registered on the Chinese Clinical Trial Registry. Registration number: ChiCTR2300069515.

Publisher

Research Square Platform LLC

Reference36 articles.

1. Pathogenesis and Management of Sarcopenia;Dhillon RJ;Clinics in geriatric medicine,2017

2. The epidemiology, etiology, diagnosis, and treatment of osteoarthritis of the knee;Michael JW;Deutsches Arzteblatt international,2010

3. Sarcopenia: diagnosis and treatment;Morley JE;The journal of nutrition, health & aging,2008

4. Sarcopenia with limited mobility: an international consensus;Morley JE;Journal of the American Medical Directors Association,2011

5. Sarcopenic osteoarthritis: a new entity in geriatric medicine? European geriatric medicine;Veronese N,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3