Jinnan Li, Ting Qu, Ying Li, Pengcheng Li, Benmai Luo, Yue Yi, Aibin Shi, Zhixin Pang, Yuting Chu, Yuxin Zhao, Li Yang, Shaopeng Xu, Juan Xie, Hong Zhu
{"title":"不同血压状态人群的长期血压变化和心血管疾病风险:一项前瞻性队列研究。","authors":"Jinnan Li, Ting Qu, Ying Li, Pengcheng Li, Benmai Luo, Yue Yi, Aibin Shi, Zhixin Pang, Yuting Chu, Yuxin Zhao, Li Yang, Shaopeng Xu, Juan Xie, Hong Zhu","doi":"10.1097/MBP.0000000000000712","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>We aimed to investigate the correlation between long-term blood pressure variability (BPV) and the risk of cardiovascular diseases (CVDs) among population with different blood pressure statuses (normotension, well-controlled hypertension, and uncontrolled hypertension).</p><p><strong>Methods: </strong>In this ambispective cohort study, CVD-free residents aged over 50 years were consecutively enrolled from two community health service centers (CHCs) in Tianjin, China from April 2017 to May 2017. Information on blood pressure was retrospectively extracted from electronic medical records of CHCs between January 2010 and May 2017, and the occurrence of new-onset CVDs was prospectively observed during follow-up until September 2019. Long-term variation of SBP and DBP was assessed using four indicators: SD, coefficient of variation (CV), average successive variability (ASV), and average real variability (ARV). Cox proportional hazards regression model was developed to identify the potential impact of BPV on the incidence of CVDs. The receiver operating characteristic curve (ROC) was utilized to evaluate the predictive value of BPV indicators for the occurrence of CVDs.</p><p><strong>Results: </strong>Of 1275 participants included, 412 (32.3%) experienced new CVD events during the median 7.7 years of follow-up, with an incidence density of 499/10 000 person-year in the whole cohort. Cox regression analysis revealed that almost all SBP and DBP variability indicators (except for SBP-SD) were significantly related to the risk of CVDs, especially among individuals with well-controlled hypertension. A trend toward an increased risk of CVDs across BPV quartiles was also observed. Moderate predictive abilities of BPV were observed, with the area under ROC curves ranging between 0.649 and 0.736. For SBP variability, SD had the lowest predictive ability, whereas for DBP variability, ARV had the lowest predictive ability. No significant association of CVDs with SBP-SD was found in all analyses, no matter as a continuous or categorical variable.</p><p><strong>Conclusion: </strong>Elevated long-term BPV is associated with an increased risk of CVDs, especially among individuals with well-controlled hypertension. CV and ASV had higher predictive values than SD and ARV.</p>","PeriodicalId":8950,"journal":{"name":"Blood Pressure Monitoring","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Long-term blood pressure variability and risk of cardiovascular diseases in populations with different blood pressure status: an ambispective cohort study.\",\"authors\":\"Jinnan Li, Ting Qu, Ying Li, Pengcheng Li, Benmai Luo, Yue Yi, Aibin Shi, Zhixin Pang, Yuting Chu, Yuxin Zhao, Li Yang, Shaopeng Xu, Juan Xie, Hong Zhu\",\"doi\":\"10.1097/MBP.0000000000000712\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>We aimed to investigate the correlation between long-term blood pressure variability (BPV) and the risk of cardiovascular diseases (CVDs) among population with different blood pressure statuses (normotension, well-controlled hypertension, and uncontrolled hypertension).</p><p><strong>Methods: </strong>In this ambispective cohort study, CVD-free residents aged over 50 years were consecutively enrolled from two community health service centers (CHCs) in Tianjin, China from April 2017 to May 2017. Information on blood pressure was retrospectively extracted from electronic medical records of CHCs between January 2010 and May 2017, and the occurrence of new-onset CVDs was prospectively observed during follow-up until September 2019. Long-term variation of SBP and DBP was assessed using four indicators: SD, coefficient of variation (CV), average successive variability (ASV), and average real variability (ARV). Cox proportional hazards regression model was developed to identify the potential impact of BPV on the incidence of CVDs. The receiver operating characteristic curve (ROC) was utilized to evaluate the predictive value of BPV indicators for the occurrence of CVDs.</p><p><strong>Results: </strong>Of 1275 participants included, 412 (32.3%) experienced new CVD events during the median 7.7 years of follow-up, with an incidence density of 499/10 000 person-year in the whole cohort. Cox regression analysis revealed that almost all SBP and DBP variability indicators (except for SBP-SD) were significantly related to the risk of CVDs, especially among individuals with well-controlled hypertension. A trend toward an increased risk of CVDs across BPV quartiles was also observed. Moderate predictive abilities of BPV were observed, with the area under ROC curves ranging between 0.649 and 0.736. For SBP variability, SD had the lowest predictive ability, whereas for DBP variability, ARV had the lowest predictive ability. No significant association of CVDs with SBP-SD was found in all analyses, no matter as a continuous or categorical variable.</p><p><strong>Conclusion: </strong>Elevated long-term BPV is associated with an increased risk of CVDs, especially among individuals with well-controlled hypertension. CV and ASV had higher predictive values than SD and ARV.</p>\",\"PeriodicalId\":8950,\"journal\":{\"name\":\"Blood Pressure Monitoring\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Blood Pressure Monitoring\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/MBP.0000000000000712\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/6/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"PERIPHERAL VASCULAR DISEASE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Blood Pressure Monitoring","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/MBP.0000000000000712","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/21 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"PERIPHERAL VASCULAR DISEASE","Score":null,"Total":0}
Long-term blood pressure variability and risk of cardiovascular diseases in populations with different blood pressure status: an ambispective cohort study.
Objective: We aimed to investigate the correlation between long-term blood pressure variability (BPV) and the risk of cardiovascular diseases (CVDs) among population with different blood pressure statuses (normotension, well-controlled hypertension, and uncontrolled hypertension).
Methods: In this ambispective cohort study, CVD-free residents aged over 50 years were consecutively enrolled from two community health service centers (CHCs) in Tianjin, China from April 2017 to May 2017. Information on blood pressure was retrospectively extracted from electronic medical records of CHCs between January 2010 and May 2017, and the occurrence of new-onset CVDs was prospectively observed during follow-up until September 2019. Long-term variation of SBP and DBP was assessed using four indicators: SD, coefficient of variation (CV), average successive variability (ASV), and average real variability (ARV). Cox proportional hazards regression model was developed to identify the potential impact of BPV on the incidence of CVDs. The receiver operating characteristic curve (ROC) was utilized to evaluate the predictive value of BPV indicators for the occurrence of CVDs.
Results: Of 1275 participants included, 412 (32.3%) experienced new CVD events during the median 7.7 years of follow-up, with an incidence density of 499/10 000 person-year in the whole cohort. Cox regression analysis revealed that almost all SBP and DBP variability indicators (except for SBP-SD) were significantly related to the risk of CVDs, especially among individuals with well-controlled hypertension. A trend toward an increased risk of CVDs across BPV quartiles was also observed. Moderate predictive abilities of BPV were observed, with the area under ROC curves ranging between 0.649 and 0.736. For SBP variability, SD had the lowest predictive ability, whereas for DBP variability, ARV had the lowest predictive ability. No significant association of CVDs with SBP-SD was found in all analyses, no matter as a continuous or categorical variable.
Conclusion: Elevated long-term BPV is associated with an increased risk of CVDs, especially among individuals with well-controlled hypertension. CV and ASV had higher predictive values than SD and ARV.
期刊介绍:
Blood Pressure Monitoring is devoted to original research in blood pressure measurement and blood pressure variability. It includes device technology, analytical methodology of blood pressure over time and its variability, clinical trials - including, but not limited to, pharmacology - involving blood pressure monitoring, blood pressure reactivity, patient evaluation, and outcomes and effectiveness research.
This innovative journal contains papers dealing with all aspects of manual, automated, and ambulatory monitoring. Basic and clinical science papers are considered although the emphasis is on clinical medicine.
Submitted articles undergo a preliminary review by the editor. Some articles may be returned to authors without further consideration. Those being considered for publication will undergo further assessment and peer-review by the editors and those invited to do so from a reviewer pool.