A prospective cohort study of home blood pressure monitoring based on an intelligent cloud platform (the HBPM-iCloud study): rationale and design

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...

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Main Authors: Hailan Zhu, Xiaoyan Liang, Xiong-Fei Pan, Chunyi Huang, Jian Kuang, Weibiao Lv, Qingchun Zeng, Weiyi Mai, Yuli Huang
Format: Article
Language:English
Published: SAGE Publishing 2020-06-01
Series:Therapeutic Advances in Chronic Disease
Online Access:https://doi.org/10.1177/2040622320933108
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author Hailan Zhu
Xiaoyan Liang
Xiong-Fei Pan
Chunyi Huang
Jian Kuang
Weibiao Lv
Qingchun Zeng
Weiyi Mai
Yuli Huang
author_facet Hailan Zhu
Xiaoyan Liang
Xiong-Fei Pan
Chunyi Huang
Jian Kuang
Weibiao Lv
Qingchun Zeng
Weiyi Mai
Yuli Huang
author_sort Hailan Zhu
collection DOAJ
description 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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spelling doaj.art-778593287efe4214bdabe65ac6a968ff2022-12-22T00:57:30ZengSAGE PublishingTherapeutic Advances in Chronic Disease2040-62312020-06-011110.1177/2040622320933108A prospective cohort study of home blood pressure monitoring based on an intelligent cloud platform (the HBPM-iCloud study): rationale and designHailan ZhuXiaoyan LiangXiong-Fei PanChunyi HuangJian KuangWeibiao LvQingchun ZengWeiyi MaiYuli HuangBackground: 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.https://doi.org/10.1177/2040622320933108
spellingShingle Hailan Zhu
Xiaoyan Liang
Xiong-Fei Pan
Chunyi Huang
Jian Kuang
Weibiao Lv
Qingchun Zeng
Weiyi Mai
Yuli Huang
A prospective cohort study of home blood pressure monitoring based on an intelligent cloud platform (the HBPM-iCloud study): rationale and design
Therapeutic Advances in Chronic Disease
title A prospective cohort study of home blood pressure monitoring based on an intelligent cloud platform (the HBPM-iCloud study): rationale and design
title_full A prospective cohort study of home blood pressure monitoring based on an intelligent cloud platform (the HBPM-iCloud study): rationale and design
title_fullStr A prospective cohort study of home blood pressure monitoring based on an intelligent cloud platform (the HBPM-iCloud study): rationale and design
title_full_unstemmed A prospective cohort study of home blood pressure monitoring based on an intelligent cloud platform (the HBPM-iCloud study): rationale and design
title_short A prospective cohort study of home blood pressure monitoring based on an intelligent cloud platform (the HBPM-iCloud study): rationale and design
title_sort prospective cohort study of home blood pressure monitoring based on an intelligent cloud platform the hbpm icloud study rationale and design
url https://doi.org/10.1177/2040622320933108
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