Wearable Devices in Remote Cardiac Rehabilitation With and Without Weekly Online Coaching for Patients With Coronary Artery Disease: Randomized Controlled Trial.

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Ryota Nishio, Tomotaka Dohi, Miho Yokoyama, Taisuke Nakade, Norihito Takahashi, Yuichi Chikata, Hirohisa Endo, Hiroki Nishiyama, Iwao Okai, Hiroshi Iwata, Shinya Okazaki, Katsumi Miyauchi, Hiroyuki Daida, Tohru Minamino
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引用次数: 0

Abstract

Background: Cardiac rehabilitation (CR) is effective in preventing cardiovascular diseases; however, participation in CR programs remains limited due to the associated challenges. The integration of wearable devices and real-time monitoring offers a potential solution to enhance adherence to remote CR programs and their outcomes.

Objective: This study aimed to evaluate the efficacy of a remote CR program using wearable devices and real-time monitoring with or without online coaching (OLC) in improving exercise capacity in patients with coronary artery disease (CAD).

Methods: We enrolled 50 patients with CAD in a remote CR program in this randomized, open-label, single-center pilot trial (phase III). After baseline cardiopulmonary exercise tests (CPETs), all patients were assigned a CPET-based home exercise program and were provided with a wearable device (Fitbit Sense; Fitbit, Inc) with a real-time monitoring system (Recoval; SapplyM, Inc). The patients were randomly assigned to an intervention group with OLC (n=25) or a control wearable device (CON; n=25) group. The primary outcomes were changes in peak oxygen consumption (peak VO2) and anaerobic threshold VO2 (oxygen consumption) at 12 weeks. The secondary outcomes were changes in CPET parameters, daily activity, anxiety levels, and health-related quality of life.

Results: Peak VO2 and anaerobic threshold VO2 increased significantly from baseline to 12 weeks in the OLC (+1.6 mL/kg/min, P<.001; +1.0 mL/kg/min, P=.001) and CON (+0.6 mL/kg/min, P=.008; +1.3 mL/kg/min, P=.002) groups with no significant between-group differences (P=.65 and P=.90). In the latter half of the intervention, the daily distance and highly active time in the OLC group were significantly increased compared with those in the CON group (all P<.05). Mental status and health-related quality of life scores showed no significant differences between the groups. No major adverse cardiac events were reported. One patient in the OLC group dropped out due to lower limb muscle strain.

Conclusions: Remote CR using wearable devices and a real-time monitoring system significantly improved exercise capacity in patients with CAD over a 12-week intervention program. The addition of regular OLC to the intervention program further enhanced the physical activity levels, particularly in high-intensity activities. Future studies are warranted to validate these findings in more diverse populations and over longer intervention periods to optimize the benefits and safety of remote CR programs.

可穿戴设备在冠心病患者的远程心脏康复中有或没有每周在线辅导:随机对照试验
背景:心脏康复是预防心血管疾病的有效手段;然而,由于相关的挑战,企业社会责任计划的参与仍然有限。可穿戴设备和实时监测的集成提供了一个潜在的解决方案,以提高对远程CR计划的依从性及其结果。目的:本研究旨在评估使用可穿戴设备和实时监测(有或没有在线指导(OLC))的远程CR计划在提高冠状动脉疾病(CAD)患者运动能力方面的疗效。方法:我们在这个随机、开放标签、单中心试点试验(III期)中招募了50例CAD患者参加远程CR项目。在基线心肺运动测试(cpet)后,所有患者都被分配了一个基于cpet的家庭运动计划,并提供了可穿戴设备(Fitbit Sense;Fitbit, Inc)的实时监控系统(Recoval;SapplyM公司)。患者被随机分配到OLC干预组(n=25)或对照可穿戴设备组(CON;n = 25)组。主要结果是12周时峰值耗氧量(峰值VO2)和无氧阈值VO2(耗氧量)的变化。次要结局是CPET参数、日常活动、焦虑水平和健康相关生活质量的变化。结果:OLC患者的峰值VO2和无氧阈值VO2从基线到12周显著增加(+1.6 mL/kg/min)。结论:使用可穿戴设备和实时监测系统的远程CR在12周的干预计划中显著提高了CAD患者的运动能力。在干预计划中增加常规的OLC,进一步提高了身体活动水平,特别是在高强度活动中。未来的研究有必要在更多样化的人群和更长的干预期中验证这些发现,以优化远程CR计划的益处和安全性。
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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