基于物联网的慢性阻塞性肺疾病患者家庭呼吸肌训练：一项随机临床试验。
Internet of Things-Based Home Respiratory Muscle Training for Patients with Chronic Obstructive Pulmonary Disease: A Randomized Clinical Trial.
机构信息
Respiratory Medicine Department, Xiamen Haicang Hospital, Xiamen, Fujian, People's Republic of China.
Nursing Department, Xiamen Haicang Hospital, Xiamen, Fujian, People's Republic of China.
出版信息
Int J Chron Obstruct Pulmon Dis. 2024 May 22;19:1093-1103. doi: 10.2147/COPD.S454804. eCollection 2024.
PURPOSE
Whether Internet of Things (IoT)-based home respiratory muscle training (RMT) benefits patients with comorbid chronic obstructive pulmonary disease (COPD) remains unclear. Therefore, this study aims to evaluate the effectiveness of IoT-based home RMT for patients with COPD.
PATIENTS AND METHODS
Seventy-eight patients with stable COPD were randomly divided into two groups. The control group received routine health education, while the intervention group received IoT-based home RMT (30 inspiratory muscle training [IMT] and 30 expiratory muscle training [EMT] in different respiratory cycles twice daily for 12 consecutive weeks). Assessments took place pre-intervention and 12 weeks post-intervention, including lung function tests, respiratory muscle strength tests, the mMRC dyspnea scale, CAT questionnaires, the HAMA scale, and 6-month COPD-related readmission after intervention.
RESULTS
Seventy-four patients with COPD were analyzed (intervention group = 38, control group = 36), and the mean age and FEV of the patients were 68.65 ± 7.40 years, 1.21 ± 0.54 L. Compared to those of the control population, the intervention group exhibited higher FEV/FVC (48.23 ± 10.97 vs 54.32 ± 10.31, = 0.016), MIP (41.72 ± 7.70 vs 47.82 ± 10.99, = 0.008), and MEP (42.94 ± 7.85 vs 50.29 ± 15.74, = 0.013); lower mMRC (2.00 [2.00-3.00] vs 1.50 [1.00-2.00], < 0.001), CAT (17.00 [12.00-21.75] vs 11.00 [9.00-13.25], < 0.001), and HAMA (7.00 [5.00-9.00] vs 2.00 [1.00-3.00], < 0.001) scores; and a lower incidence rate of 6-month readmission (22% vs 5%, = 0.033).
CONCLUSION
Compared with no intervention, IoT-based home RMT may be a more beneficial intervention for patients with COPD.
目的
基于物联网的家庭呼吸肌训练（RMT）是否有益于合并慢性阻塞性肺疾病（COPD）的患者尚不清楚。因此，本研究旨在评估基于物联网的家庭 RMT 对 COPD 患者的疗效。
方法
78 例稳定期 COPD 患者随机分为两组。对照组接受常规健康教育，干预组接受基于物联网的家庭 RMT（每天两次，每个呼吸周期进行 30 次吸气肌训练和 30 次呼气肌训练，共 12 周）。在干预前和干预后 12 周进行评估，包括肺功能检查、呼吸肌力量测试、mMRC 呼吸困难量表、CAT 问卷、HAMA 量表和干预后 6 个月 COPD 相关再入院率。
结果
74 例 COPD 患者（干预组=38 例，对照组=36 例）进行了分析，患者的平均年龄和 FEV1 分别为 68.65±7.40 岁和 1.21±0.54 L。与对照组相比，干预组的 FEV1/FVC（48.23±10.97 比 54.32±10.31，=0.016）、MIP（41.72±7.70 比 47.82±10.99，=0.008）和 MEP（42.94±7.85 比 50.29±15.74，=0.013）更高；mMRC（2.00[2.00-3.00]比 1.50[1.00-2.00]，<0.001）、CAT（17.00[12.00-21.75]比 11.00[9.00-13.25]，<0.001）和 HAMA（7.00[5.00-9.00]比 2.00[1.00-3.00]，<0.001）评分更低；6 个月再入院率（22%比 5%，=0.033）也更低。
结论
与无干预相比，基于物联网的家庭 RMT 可能对 COPD 患者更有益。
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