Hongyi Wang, Anran Cheng, Yusheng Li, Haining Zhang, Shun Fan, Rong Shen, Wei Zhang, Huanan Li, Jingui Wang
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引用次数: 0
Abstract
Background: As an established driver of hypertension, obstructive sleep apnea (OSA) generates a significant cardiovascular burden when both disorders are present. This intersection not only compromises nocturnal hemodynamics but also hampers long-term clinical management. Yet, current health care delivery rarely integrates the simultaneous and continuous tracking of these dual burdens. While wearable technology provides a noninvasive, pragmatic toolset for synchronized physiological monitoring, research remains largely siloed within single-disease frameworks. Consequently, clinical evidence supporting wearable applications specifically for comorbid populations remains sparse.
Objective: In this scoping review, we summarized the current applications of wearable technology for comorbid OSA and hypertension. The analysis primarily outlines device categories, monitored physiological indicators, prevalent clinical scenarios, and existing challenges.
Methods: The search for relevant literature spanned PubMed, Web of Science, Embase, and IEEE Xplore, covering the period from January 2015 to February 2026. Eligible studies included adults and used wearable or portable technologies to objectively track sleep- or respiratory-related indicators and cardiovascular/blood pressure metrics. Study selection, data charting, and evidence synthesis were conducted using a 2-reviewer process and descriptive and narrative approaches.
Results: Our initial search yielded 739 records. Following title and abstract screening, we reviewed 54 full texts, ultimately finalizing a cohort of 13 eligible studies. Published between 2015 and 2026 across 9 countries, these articles capture data from 5596 participants. Most were observational studies and device validation studies. Evaluated device types included wrist-worn devices, fingertip contact devices, patch and single-lead devices, and multiparameter portable monitoring systems. The clinical applications mainly focused on screening and risk stratification for comorbid OSA and hypertension, monitoring of abnormal nocturnal blood pressure and hemodynamic changes, and cardiovascular risk assessment and remote longitudinal management. However, research remains sparse, and different devices vary greatly in reference standards, diagnostic thresholds, and validation pathways; therefore, their clinical translational value still requires further validation.
Conclusions: Wearable devices may complement traditional assessment by providing continuous nocturnal and longitudinal data. However, at present, they are more suitable as auxiliary monitoring and risk warning tools in comorbidity management and cannot yet replace standard sleep studies or standard blood pressure monitoring. Future research should further shift from feasibility validation to large-sample, prospective, multicenter clinical studies in comorbid populations.
背景:阻塞性睡眠呼吸暂停(OSA)作为高血压的驱动因素,当两种疾病同时存在时,会产生显著的心血管负担。这种交叉不仅影响夜间血流动力学,而且妨碍长期临床管理。然而,目前的卫生保健服务很少同时和持续跟踪这些双重负担。虽然可穿戴技术为同步生理监测提供了一种无创、实用的工具集,但研究在很大程度上仍局限于单一疾病的框架内。因此,临床证据支持可穿戴设备的应用,特别是对共病人群仍然稀少。目的:本文综述了可穿戴技术在OSA合并高血压中的应用现状。该分析主要概述了设备类别、监测的生理指标、普遍的临床情况和现有的挑战。方法:检索PubMed、Web of Science、Embase、IEEE explore等相关文献,检索时间为2015年1月至2026年2月。符合条件的研究包括成年人,并使用可穿戴或便携式技术客观地跟踪睡眠或呼吸相关指标以及心血管/血压指标。研究选择、数据图表和证据合成采用2位审稿人流程和描述性和叙述性方法进行。结果:我们最初的搜索产生了739条记录。在标题和摘要筛选之后,我们回顾了54篇全文,最终确定了13项符合条件的研究。这些文章于2015年至2026年间在9个国家发表,收集了5596名参与者的数据。大多数是观察性研究和器械验证研究。评估的设备类型包括腕带设备、指尖接触设备、贴片和单导联设备以及多参数便携式监测系统。临床应用主要集中在OSA合并高血压的筛查和风险分层、监测夜间血压异常和血流动力学变化、心血管风险评估和远程纵向管理等方面。然而,研究仍然很少,不同的设备在参考标准、诊断阈值和验证途径方面差异很大;因此,其临床转化价值仍需进一步验证。结论:可穿戴设备可以通过提供连续的夜间和纵向数据来补充传统的评估。然而,目前它们更适合作为合并症管理的辅助监测和风险预警工具,尚不能取代标准的睡眠研究或标准的血压监测。未来的研究应进一步从可行性验证转向合并症人群的大样本、前瞻性、多中心临床研究。
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.