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He K, Chen X, Shi Z, Shi S, Tian Q, Hu X, Song R, Bai K, Shi W, Wang J, Li H, Ding J, Geng S, Sheng X. Relationship of resting heart rate and blood pressure with all-cause and cardiovascular disease mortality. Public Health 2022; 208:80-88. [PMID: 35728416 DOI: 10.1016/j.puhe.2022.03.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 01/21/2022] [Accepted: 03/30/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVES This study aimed to investigate associations of resting heart rate (RHR) and blood pressure (BP) with all-cause and cardiovascular disease (CVD) mortality. STUDY DESIGN A retrospective cohort study. METHODS A total of 67,028 Chinese participants aged ≥60 years were included in the analysis. RHR, systolic blood pressure (SBP), and diastolic blood pressure (DBP) were evaluated according to quartiles ([41-69, 70-74, 75-79, 80-127 beats/min], [80-119, 120-129, 130-139, 140-238 mm Hg], and [40-70, 71-79, 80-84, 85-133 mm Hg]). Cox proportional hazard models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of all-cause and CVD mortality with RHR, SBP, and DBP. Restricted cubic splines were used to evaluate the dose-response association. RESULTS During the 361,975 person-year follow-up, 9326 deaths were recorded, of which 5039 deaths were due to CVD. The risk of all-cause mortality was increased by 25% with the quartiles four vs quartile one of RHR (HR [95% CI]:1.25 [1.17-1.33]), and CVD mortality was increased by 32% (HR [95% CI]: 1.32 [1.22-1.44]). Similar results were observed when comparing the quartiles four vs quartile one of SBP with the risk of all-cause and CVD mortality (HRs [95% CIs]: 1.14 [1.07, 1.22] and 1.23 [1.12. 1.34]) and DBP with the risk of all-cause and CVD mortality (HRs [95% CIs]: 1.17 [1.11. 1.24] and 1.36 [1.26. 1.47]). We found linear associations of RHR, SBP, and DBP with all-cause and CVD mortality (Pnon-linearity >0.05), except for the approximately J-shaped association between DBP and all-cause mortality (Pnon-linearity = 0.008). There was a significant interaction of RHR and SBP with all-cause and CVD mortality (Pinteraction <0.05). CONCLUSIONS RHR and BP increased the risk of all-cause and CVD mortality, especially fast RHR combined with high SBP.
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Affiliation(s)
- K He
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - X Chen
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Z Shi
- Department of Pharmacy, Zhengzhou People's Hospital, Zhengzhou, Henan, People's Republic of China
| | - S Shi
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
| | - Q Tian
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - X Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - R Song
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - K Bai
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - W Shi
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - J Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - H Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - J Ding
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - S Geng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - X Sheng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
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Chen K, Su H, Wang Q, Wu Z, Shi R, Yu F, Yan J, Yuan X, Qin R, Zhou Z, Hou Z, Li C, Chen T. Similarities in Hypertension Status but Differences in Mortality Risk: A Comparison of 2017 ACC/AHA and 2018 Chinese Hypertension Guidelines. Front Cardiovasc Med 2022; 9:784433. [PMID: 35265676 PMCID: PMC8898956 DOI: 10.3389/fcvm.2022.784433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 01/20/2022] [Indexed: 11/13/2022] Open
Abstract
Background Few studies investigated the concordance in hypertension status and antihypertensive treatment recommendations between the 2018 Chinese Hypertension League (CHL) guidelines and the 2017 American College of Cardiology (ACC)/American Heart Association (AHA) guidelines and assessed the change of premature mortality risk with hypertension defined by the ACC/AHA guidelines. Methods We used the baseline data of the China Health and Retirement Longitudinal Study (CHARLS) to estimate the population impact on hypertension management between CHL and ACC/AHA guidelines. Mortality risk from hypertension was estimated using the data from China Health and Nutrition Survey (CHNS). Cox proportional hazards model was used to estimate the hazard ratios (HRs) and their 95% confidence intervals(CIs). Results Among 13,704 participants analyzed from the nationally representative data of CHARLS, 42.64% (95% CI: 40.35, 44.96) of Chinese adults were diagnosed by both CHL and ACC/AHA guidelines. 41.25% (39.17, 43.36) did not have hypertension according to either guideline. Overall, the concordance in hypertension status was 83.89% (81.69, 85.57). A high percentage of agreement was also found for recommendation to initiate treatment among untreated subjects (87.62% [86.67, 88.51]) and blood pressure (BP) above the goal among treated subjects (71.68% [68.16, 74.95]). Among 23,063 adults from CHNS, subjects with hypertension by CHL had a higher risk of premature mortality (1.75 [1.50, 2.04]) compared with those without hypertension. The association diminished for hypertension by ACC/AHA (1.46 [1.07, 1.30]). Moreover, the excess risk was not significant for the newly defined Grade 1 hypertension by ACC/AHA (1.15 [0.95, 1.38]) when compared with BP <120/80 mmHg. This contrasted with the estimate from CHL (1.54 [1.25, 1.89]). The same pattern was observed for total mortality. Conclusions If ACC/AHA guidelines were adopted, a high degree of concordance in hypertension status and initiation of antihypertensive treatment was found with CHL guidelines. However, the mortality risk with hypertension was reduced with a non-significant risk for Grade 1 hypertension defined by the ACC/AHA.
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Affiliation(s)
- Kangyu Chen
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Hao Su
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Qi Wang
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Zhenqiang Wu
- Department of Geriatric Medicine, The University of Auckland, Auckland, New Zealand
| | - Rui Shi
- Heart Rhythm Centre, The Royal Brompton and Harefield National Health Service Foundation Trust, National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Fei Yu
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Ji Yan
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Xiaodan Yuan
- Department of Health Education, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Rui Qin
- Department of Health Education, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Ziai Zhou
- Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China
| | - Zeyi Hou
- Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China
| | - Chao Li
- Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China
- *Correspondence: Chao Li
| | - Tao Chen
- Department of Public Health, Policy and Systems, Institute of Population Health, The University of Liverpool, Liverpool, United Kingdom
- Tao Chen
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Wang J, Liu J, Teng H, Zhang Y, Dong X, Chen W, Yin J. Blood pressure categories defined by the 2017 ACC/AHA guideline and all-cause mortality: a national cohort study in China and meta-analysis. J Hum Hypertens 2022; 36:95-105. [PMID: 33589762 DOI: 10.1038/s41371-021-00495-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Revised: 01/05/2021] [Accepted: 01/25/2021] [Indexed: 01/31/2023]
Abstract
The 2017 American College of Cardiology/American Heart Association guideline recommends a lowered threshold for hypertension diagnosis. Nonetheless, the association of blood pressure (BP) groups defined by the new guideline and all-cause mortality has not been fully estimated, especially in general Chinese. Based on the China Health and Retirement Longitudinal Study (CHARLS) during 2011-2018, 12,964 participants aged 45 years or older at baseline were enrolled for a follow-up of 7 years. Cox proportional hazards models were used to examine the relationship of BP classifications with all-cause mortality, with normal BP (<120/80 mmHg) as a reference. Afterwards, eligible studies shed light in this field were searched in public databases, and meta-analysis was conducted. In CHARLS, there were 41.21% and 16.08% individuals with stage 2 hypertension and stage 1 hypertension, respectively. During the follow-up, 1293 death occurred. The redefined stage 1 (130-139/80-89 mmHg) and stage 2 hypertension (≥140/≥90 mmHg) were found to have increased risk of death in the crude model, but only stage 2 hypertension maintained statistically significance after adjustment. Furthermore, meta-analysis including CHARLS and nine other prospective studies, with a total of 290,609 participants followed up for 3,081,532 person-years, resulted in similar results (combined hazard ratio (95% confidence interval) was 1.07 (0.99-1.15) for stage 1 hypertension, and 1.39 (1.25-1.53) for stage 2 hypertension). The present study detected that individuals with stage 2 and stage 1 hypertension had increased likelihood to die from any cause, but only the former association achieved statistically significance. Further cohorts with long-term follow-up duration are warranted, especially in China.
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Affiliation(s)
- Jiaxiang Wang
- Department of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Jieyu Liu
- Department of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Haoyue Teng
- Department of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Yushan Zhang
- Department of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Xingxuan Dong
- Department of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Wei Chen
- Zhuhai Center for Chronic Disease Control, Zhuhai, Guangdong, China.
| | - Jieyun Yin
- Department of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China.
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