期刊
THERAPEUTIC ADVANCES IN CHRONIC DISEASE
卷 11, 期 -, 页码 -出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/2040622320933108
关键词
cardiovascular disease; home blood pressure monitoring; masked hypertension; telemonitoring technology; white coat hypertension
资金
- Science and Technology Innovation Project from Foshan, Guangdong [FS0AA-KJ218-1301-0006]
- Clinical Research Startup Program of Shunde Hospital, Southern Medical University [CRSP2019001]
- Scientific research start-up plan of Southern Medical University [CX2018N202]
Background: Hypertension, as a predominant risk factor for cardiovascular disease, is a severe public health burden in China. Home blood pressure monitoring (HBPM) is an important tool in the detection and management of hypertension. However, there is a lack of HBPM data from prospective cohorts in China. Hence, we designed this study to investigate the impact of HBPM on major health outcomes in Chinese population participating in regular health check-ups. Methods: Leveraging telemedicine technology, the open prospective, multicenter, HBPM-iCloud (Home Blood Pressure Monitoring Based on an Intelligent Cloud Platform) cohort study will recruit participants from three participating health check-up centers in southern China to participate in cloud-based HBPM for 1 week. The prevalence of sustained hypertension, white coat hypertension (WCH), masked hypertension (MH), white coat uncontrolled hypertension (WUCH), and masked uncontrolled hypertension (MUCH) will be defined by a combination of average readings of home-based and office-based blood pressure (BP). Cardiovascular risk factors and subclinical target organ damage will be recorded. Participants will be followed-up for 5 years to examine the incidence and associated risk factors of composite major adverse cardiovascular and cerebrovascular event. Conclusion: The study will help to determine the best way to implement telemedicine technology in BP control for better prevention and treatment of hypertension. Results will provide data for a Chinese population to aid in the construction of screening, risk stratification, and intervention strategies for abnormal BP phenotypes, including WCH, MH, WUCH, and MUCH.
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