Sports Medicine Center, West China Hospital, Sichuan University, 37 Guoxue Lane, Wuhou District, Chengdu, Sichuan Province, China.
University of Chicago, Chicago, USA.
J Orthop Surg Res. 2024 Oct 8;19(1):635. doi: 10.1186/s13018-024-05134-8.
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.
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.
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 frequency, intensity, type, time, volume and progression (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.
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.
肌少症和骨关节炎是常见的与年龄相关的疾病,它们相互加剧,形成一个恶性循环,使两种疾病的状况都恶化。运动是打破这种有害循环的关键。在这一患者群体中,对康复服务的需求不断增加,ChatGPT-4 和可穿戴设备可以提高这种医疗保健的可用性、效率和个性化。
评估利用 ChatGPT-4 和可穿戴设备集成的移动平台上实施的康复系统的临床疗效和成本效益。
研究设计为前瞻性随机开放盲终点(PROBE)非劣效性试验。将招募 278 名诊断为骨关节炎和肌少症的患者,并将其随机分配到干预组和对照组。在干预组中,患者接受基于手机的康复服务,其中 ChatGPT-4 生成个性化的运动治疗,可穿戴设备指导和监测患者实施运动治疗。传统的基于诊所的面对面运动治疗将在对照组中规定和实施。所有患者将按照频率、强度、类型、时间、量和进展(FITT-VP)原则接受三个月的运动治疗。患者将在开始后的基线、一个月、三个月和六个月进行评估。结果测量包括 ROM、步态模式、疼痛评估的视觉模拟量表(VAS)、西安大略和麦克马斯特大学骨关节炎指数(WOMAC)、膝关节损伤和骨关节炎结果评分(KOOS)的功能评估、健康调查简表 12(SF-12)用于生活质量评估、最小临床重要差异(MCID)、患者可接受症状状态(PASS)和实质性临床获益(SCB)用于临床显著测量。
结合 ChatGPT-4 和可穿戴设备功能的康复系统有可能提高专业康复服务的可用性和效率,从而提高同时患有肌少症和骨关节炎的大量人群的治疗效果。