Autor: |
Weipeng Jiang, Xiaoyan Jin, Chunling Du, Wenchao Gu, Xiwen Gao, Chenjun Zhou, Chunlin Tu, Hongqun Chen, Hong Li, Yao Shen, Yunfeng Zhang, Xiahui Ge, Yingxin Sun, Lei Zhou, Suyun Yu, Kaishun Zhao, Qing Cheng, Xiaodan Zhu, Hongen Liao, Chunxue Bai, Yuanlin Song |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
EClinicalMedicine, Vol 70, Iss , Pp 102518- (2024) |
Druh dokumentu: |
article |
ISSN: |
2589-5370 |
DOI: |
10.1016/j.eclinm.2024.102518 |
Popis: |
Summary: Background: Effective monitoring and management are crucial during long-term home noninvasive positive pressure ventilation (NPPV) in patients with hypercapnic chronic obstructive pulmonary disease (COPD). This study investigated the benefit of Internet of Things (IOT)-based management of home NPPV. Methods: This multicenter, prospective, parallel-group, randomized controlled non-inferiority trial enrolled patients requiring long-term home NPPV for hypercapnic COPD. Patients were randomly assigned (1:1), via a computer-generated randomization sequence, to standard home management or IOT management based on telemonitoring of clinical and ventilator parameters over 12 months. The intervention was unblinded, but outcome assessment was blinded to management assignment. The primary outcome was the between-group comparison of the change in health-related quality of life, based on severe respiratory insufficiency questionnaire scores with a non-inferiority margin of −5. This study is registered with Chinese Clinical Trials Registry (No. ChiCTR1800019536). Findings: Overall, 148 patients (age: 72.7 ± 6.8 years; male: 85.8%; forced expiratory volume in 1 s: 0.7 ± 0.3 L; PaCO2: 66.4 ± 12.0 mmHg), recruited from 11 Chinese hospitals between January 24, 2019, and June 28, 2021, were randomly allocated to the intervention group (n = 73) or the control group (n = 75). At 12 months, the mean severe respiratory insufficiency questionnaire score was 56.5 in the intervention group and 50.0 in the control group (adjusted between-group difference: 6.26 [95% CI, 3.71–8.80]; P |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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