Attributable risk of all-cause mortality in hypertensive adults based on disease risk prediction model: A Chinese cohort study
Background: The aim of this study was to estimate the attributable risk for all-cause mortality in hypertensive adults living in Beijing, China. Methods: We conducted a prospective cohort study on the basis of the disease risk prediction model, which included 3006 hypertensive patients aged 50 and o...
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Elsevier
2020-09-01
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author | Weiwei Sun Yanhong Huo Qingqing Liu Andrew C. Ahn Jingwei Zhou Ruichao Yu Zhenjie Chen Yaoxian Wang Hongfang Liu |
author_facet | Weiwei Sun Yanhong Huo Qingqing Liu Andrew C. Ahn Jingwei Zhou Ruichao Yu Zhenjie Chen Yaoxian Wang Hongfang Liu |
author_sort | Weiwei Sun |
collection | DOAJ |
description | Background: The aim of this study was to estimate the attributable risk for all-cause mortality in hypertensive adults living in Beijing, China. Methods: We conducted a prospective cohort study on the basis of the disease risk prediction model, which included 3006 hypertensive patients aged 50 and over who participated in the annual health examination from thirty-eight community health centers were randomly selected from all 53 community health centers in Dongcheng district of Beijing in China. This cohort study was conducted from January 1, 2013 to June 31, 2018 in these community health centers. Data included age, gender, education level, BMI, smoking and drinking status, renal function, diabetes mellitus (DM), coronary heart disease, levels of blood pressure, use of medications, and blood lipid levels. Results: the follow-up time was 4.90 ± 0.51 years. There were significant survival differences by gender, renal function (eGFR > 90 vs. 60–90 vs. <60 mL/min per 1.73 m2), smoking (smoking vs. No smoking), hypertension severity (SBP ≥ 140 or DBP ≥ r vs. SBP/DBP < 140/90 mmHg), education level (<6 vs. 6–12 vs. >12 years), coronary heart disease (CHD) (CHD vs. NO CHD). In the multivariate Cox proportional hazard analysis, the prognostic factors of all-cause mortality in hypertensive patients were male [HR 1.662, 95% CI 1.110–2.489, p = 0.014], educational level<6 years [HR 2.044, 95% CI 1.164–3.591, p 0.013], age ≥65 years [HR 3.092, 95% CI 1.717–5.571, p < 0.001], smoking [HR 1.885, 95% CI 1.170–3.309, p = 0.009], eGFR<60 mL/min per 1.73 m2 [HR 3.591, 95% CI 2.023–6.371, p < 0.001]. Conclusions: we conclude that decreasing eGFR, increasing age, smoking, low education and gender (male) are significant and independent risk factor for mortality in hypertension for this urban cohort. Recommendations may include protecting renal function, providing patient education, and cessation of smoking. It highlights that early preventive measures are needed to detect kidney impairment and protect renal function. It also suggests that earlier smoking cessation may be important for hypertensive patients. |
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spelling | doaj.art-e7854258a9884354bd986e813507668f2022-12-22T03:38:46ZengElsevierJournal of Infection and Public Health1876-03412020-09-0113912901296Attributable risk of all-cause mortality in hypertensive adults based on disease risk prediction model: A Chinese cohort studyWeiwei Sun0Yanhong Huo1Qingqing Liu2Andrew C. Ahn3Jingwei Zhou4Ruichao Yu5Zhenjie Chen6Yaoxian Wang7Hongfang Liu8Department of Nephrology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, 100700, ChinaDepartment of Nephrology, The Seventh Medical Center of PLA General Hospital, Beijing, 100700, ChinaDepartment of Nephrology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, 100700, China; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Brookline, 02215, USADepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Brookline, 02215, USADepartment of Nephrology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, 100700, ChinaDepartment of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, 02115, USADepartment of Nephrology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, 100700, ChinaDepartment of Nephrology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, 100700, ChinaDepartment of Nephrology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, 100700, China; Corresponding author at: Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, No. 5, Haiyuncang Hutong, Dongcheng District, Beijing, 100700, China.Background: The aim of this study was to estimate the attributable risk for all-cause mortality in hypertensive adults living in Beijing, China. Methods: We conducted a prospective cohort study on the basis of the disease risk prediction model, which included 3006 hypertensive patients aged 50 and over who participated in the annual health examination from thirty-eight community health centers were randomly selected from all 53 community health centers in Dongcheng district of Beijing in China. This cohort study was conducted from January 1, 2013 to June 31, 2018 in these community health centers. Data included age, gender, education level, BMI, smoking and drinking status, renal function, diabetes mellitus (DM), coronary heart disease, levels of blood pressure, use of medications, and blood lipid levels. Results: the follow-up time was 4.90 ± 0.51 years. There were significant survival differences by gender, renal function (eGFR > 90 vs. 60–90 vs. <60 mL/min per 1.73 m2), smoking (smoking vs. No smoking), hypertension severity (SBP ≥ 140 or DBP ≥ r vs. SBP/DBP < 140/90 mmHg), education level (<6 vs. 6–12 vs. >12 years), coronary heart disease (CHD) (CHD vs. NO CHD). In the multivariate Cox proportional hazard analysis, the prognostic factors of all-cause mortality in hypertensive patients were male [HR 1.662, 95% CI 1.110–2.489, p = 0.014], educational level<6 years [HR 2.044, 95% CI 1.164–3.591, p 0.013], age ≥65 years [HR 3.092, 95% CI 1.717–5.571, p < 0.001], smoking [HR 1.885, 95% CI 1.170–3.309, p = 0.009], eGFR<60 mL/min per 1.73 m2 [HR 3.591, 95% CI 2.023–6.371, p < 0.001]. Conclusions: we conclude that decreasing eGFR, increasing age, smoking, low education and gender (male) are significant and independent risk factor for mortality in hypertension for this urban cohort. Recommendations may include protecting renal function, providing patient education, and cessation of smoking. It highlights that early preventive measures are needed to detect kidney impairment and protect renal function. It also suggests that earlier smoking cessation may be important for hypertensive patients.http://www.sciencedirect.com/science/article/pii/S1876034120303567HypertensionAttributable riskRenal functionRisk prediction model |
spellingShingle | Weiwei Sun Yanhong Huo Qingqing Liu Andrew C. Ahn Jingwei Zhou Ruichao Yu Zhenjie Chen Yaoxian Wang Hongfang Liu Attributable risk of all-cause mortality in hypertensive adults based on disease risk prediction model: A Chinese cohort study Journal of Infection and Public Health Hypertension Attributable risk Renal function Risk prediction model |
title | Attributable risk of all-cause mortality in hypertensive adults based on disease risk prediction model: A Chinese cohort study |
title_full | Attributable risk of all-cause mortality in hypertensive adults based on disease risk prediction model: A Chinese cohort study |
title_fullStr | Attributable risk of all-cause mortality in hypertensive adults based on disease risk prediction model: A Chinese cohort study |
title_full_unstemmed | Attributable risk of all-cause mortality in hypertensive adults based on disease risk prediction model: A Chinese cohort study |
title_short | Attributable risk of all-cause mortality in hypertensive adults based on disease risk prediction model: A Chinese cohort study |
title_sort | attributable risk of all cause mortality in hypertensive adults based on disease risk prediction model a chinese cohort study |
topic | Hypertension Attributable risk Renal function Risk prediction model |
url | http://www.sciencedirect.com/science/article/pii/S1876034120303567 |
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