Screening and early warning system for chronic obstructive pulmonary disease with obstructive sleep apnoea based on the medical Internet of Things in three levels of healthcare: protocol for a prospective, multicentre, observational cohort study
Introduction Chronic obstructive pulmonary disease (COPD) and obstructive sleep apnoea (OSA) are prevalent respiratory diseases in China and impose significant burdens on the healthcare system. Moreover, the co-occurrence of COPD and OSA exacerbates clinical outcomes significantly. However, comprehe...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2024-02-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/14/2/e075257.full |
| _version_ | 1797271616131956736 |
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| author | Jianxin Li Jing Fan Zihan Pan Dian Chen Junyi Wang Sha Liao Huanyu Long Wanlu Sun Haoyi Zhou Shuo Lin Simin Jiang Furong Deng Wenlou Zhang Baiqi Chen Yongwei Huang Yahong Chen |
| author_facet | Jianxin Li Jing Fan Zihan Pan Dian Chen Junyi Wang Sha Liao Huanyu Long Wanlu Sun Haoyi Zhou Shuo Lin Simin Jiang Furong Deng Wenlou Zhang Baiqi Chen Yongwei Huang Yahong Chen |
| author_sort | Jianxin Li |
| collection | DOAJ |
| description | Introduction Chronic obstructive pulmonary disease (COPD) and obstructive sleep apnoea (OSA) are prevalent respiratory diseases in China and impose significant burdens on the healthcare system. Moreover, the co-occurrence of COPD and OSA exacerbates clinical outcomes significantly. However, comprehensive epidemiological investigations in China remain scarce, and the defining characteristics of the population affected by COPD and OSA, alongside their intrinsic relationship, remain ambiguous.Methods and analysis We present a protocol for a prospective, multicentre, observational cohort study based on a digital health management platform across three different healthcare tiers in five sites among Chinese patients with COPD. The study aims to establish predicative models to identify OSA among patients with COPD and to predict the prognosis of overlap syndrome (OS) and acute exacerbations of COPD through the Internet of Things (IoT). Moreover, it aims to evaluate the feasibility, effectiveness and cost-effectiveness of IoT in managing chronic diseases within clinical settings. Participants will undergo baseline assessment, physical examination and nocturnal oxygen saturation measuring. Specific questionnaires screening for OSA will also be administered. Diagnostic lung function tests and polysomnography will be performed to confirm COPD and OSA, respectively. All patients will undergo scheduled follow-ups for 12 months to record the changes in symptoms, lung functions and quality of life. Primary outcomes include the prevalence and characteristics of OS, while secondary outcomes encompass OS prognosis and the feasibility of the management model in clinical contexts. A total of 682 patients with COPD will be recruited over 12–24 months.Ethics and dissemination The study has been approved by Peking University Third Hospital, and all study participants will provide written informed consent. Study results will be published in an appropriate journal and presented at national and international conferences, as well as relevant social media and various stakeholder engagement activities.Trial registration number NCT04833725. |
| first_indexed | 2024-03-07T14:07:11Z |
| format | Article |
| id | doaj.art-b29abee24dea4c6ab9b199fce3a1fefd |
| institution | Directory Open Access Journal |
| issn | 2044-6055 |
| language | English |
| last_indexed | 2024-03-07T14:07:11Z |
| publishDate | 2024-02-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj.art-b29abee24dea4c6ab9b199fce3a1fefd2024-03-06T19:55:10ZengBMJ Publishing GroupBMJ Open2044-60552024-02-0114210.1136/bmjopen-2023-075257Screening and early warning system for chronic obstructive pulmonary disease with obstructive sleep apnoea based on the medical Internet of Things in three levels of healthcare: protocol for a prospective, multicentre, observational cohort studyJianxin Li0Jing Fan1Zihan Pan2Dian Chen3Junyi Wang4Sha Liao5Huanyu Long6Wanlu Sun7Haoyi Zhou8Shuo Lin9Simin Jiang10Furong Deng11Wenlou Zhang12Baiqi Chen13Yongwei Huang14Yahong Chen15School of Computer Science and Engineering, Beihang University, Beijing, ChinaPulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, ChinaPulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, ChinaPulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, ChinaPulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, ChinaPulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, ChinaPulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, ChinaDepartment of Pulmonary and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Beijing, ChinaSchool of Software, Beihang University, Beijing, ChinaAir Liquide Healthcare (Beijing), Beijing, ChinaPulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, ChinaDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, ChinaDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, ChinaDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, ChinaPulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, ChinaPulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, ChinaIntroduction Chronic obstructive pulmonary disease (COPD) and obstructive sleep apnoea (OSA) are prevalent respiratory diseases in China and impose significant burdens on the healthcare system. Moreover, the co-occurrence of COPD and OSA exacerbates clinical outcomes significantly. However, comprehensive epidemiological investigations in China remain scarce, and the defining characteristics of the population affected by COPD and OSA, alongside their intrinsic relationship, remain ambiguous.Methods and analysis We present a protocol for a prospective, multicentre, observational cohort study based on a digital health management platform across three different healthcare tiers in five sites among Chinese patients with COPD. The study aims to establish predicative models to identify OSA among patients with COPD and to predict the prognosis of overlap syndrome (OS) and acute exacerbations of COPD through the Internet of Things (IoT). Moreover, it aims to evaluate the feasibility, effectiveness and cost-effectiveness of IoT in managing chronic diseases within clinical settings. Participants will undergo baseline assessment, physical examination and nocturnal oxygen saturation measuring. Specific questionnaires screening for OSA will also be administered. Diagnostic lung function tests and polysomnography will be performed to confirm COPD and OSA, respectively. All patients will undergo scheduled follow-ups for 12 months to record the changes in symptoms, lung functions and quality of life. Primary outcomes include the prevalence and characteristics of OS, while secondary outcomes encompass OS prognosis and the feasibility of the management model in clinical contexts. A total of 682 patients with COPD will be recruited over 12–24 months.Ethics and dissemination The study has been approved by Peking University Third Hospital, and all study participants will provide written informed consent. Study results will be published in an appropriate journal and presented at national and international conferences, as well as relevant social media and various stakeholder engagement activities.Trial registration number NCT04833725.https://bmjopen.bmj.com/content/14/2/e075257.full |
| spellingShingle | Jianxin Li Jing Fan Zihan Pan Dian Chen Junyi Wang Sha Liao Huanyu Long Wanlu Sun Haoyi Zhou Shuo Lin Simin Jiang Furong Deng Wenlou Zhang Baiqi Chen Yongwei Huang Yahong Chen Screening and early warning system for chronic obstructive pulmonary disease with obstructive sleep apnoea based on the medical Internet of Things in three levels of healthcare: protocol for a prospective, multicentre, observational cohort study BMJ Open |
| title | Screening and early warning system for chronic obstructive pulmonary disease with obstructive sleep apnoea based on the medical Internet of Things in three levels of healthcare: protocol for a prospective, multicentre, observational cohort study |
| title_full | Screening and early warning system for chronic obstructive pulmonary disease with obstructive sleep apnoea based on the medical Internet of Things in three levels of healthcare: protocol for a prospective, multicentre, observational cohort study |
| title_fullStr | Screening and early warning system for chronic obstructive pulmonary disease with obstructive sleep apnoea based on the medical Internet of Things in three levels of healthcare: protocol for a prospective, multicentre, observational cohort study |
| title_full_unstemmed | Screening and early warning system for chronic obstructive pulmonary disease with obstructive sleep apnoea based on the medical Internet of Things in three levels of healthcare: protocol for a prospective, multicentre, observational cohort study |
| title_short | Screening and early warning system for chronic obstructive pulmonary disease with obstructive sleep apnoea based on the medical Internet of Things in three levels of healthcare: protocol for a prospective, multicentre, observational cohort study |
| title_sort | screening and early warning system for chronic obstructive pulmonary disease with obstructive sleep apnoea based on the medical internet of things in three levels of healthcare protocol for a prospective multicentre observational cohort study |
| url | https://bmjopen.bmj.com/content/14/2/e075257.full |
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