Literature DB >> 27251078

Incident hypertension and its prediction model in a prospective northern urban Han Chinese cohort study.

Y Chen1, C Wang2, Y Liu1, Z Yuan1, W Zhang1, X Li1, Y Yang1, X Sun1, F Xue1, C Zhang3.   

Abstract

Trends in incidence and prevalence of hypertension are grave in China and identifying high-risk, non-hypertension individuals for intervention may delay hypertension onset. We aimed to investigate the incidence of hypertension in northern urban Han Chinese population and construct multivariable hypertension prediction models through the prospective cohort, which included 7537 men and 4960 women free of hypertension at baseline between 2005 and 2010. During 38 958 person-years of follow-up, 2785 participants (men, 72.57%; women, 27.43%) developed hypertension. The incidence density of hypertension was 71.48 per 1000 person-year. In multivariable backward cox analyses, age, body mass index, systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose and current drinking were retained for both men and women, while gamma-glutamyl transferase only for men, total cholesterol, neutrophil granulocyte and current smoking only for women. The area under receiver operating characteristic curve (AUC) was 0.761 (95% confidence interval (CI), 0.752-0.771) for men and 0.753 (95% CI, 0.741-0.765) for women, even after 10-fold cross-validation, the AUC was 0.760 (95% CI, 0.751-0.770) for men and 0.749 (95% CI, 0.737-0.761) for women. Through risk stratification, the absolute risk of incident hypertension in 5 years at moderate, high and very high risk level was 2.13, 3.84 and 6.14 times that of those who were at low risk in men, and 1.30, 2.56 and 6.01 times that of those who were at low risk in women. Our findings identified predictors of incident hypertension and indicated that the sex-specific multivariable prediction models would be simply used to estimate the risk of incident hypertension.

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Year:  2016        PMID: 27251078     DOI: 10.1038/jhh.2016.23

Source DB:  PubMed          Journal:  J Hum Hypertens        ISSN: 0950-9240            Impact factor:   3.012


  32 in total

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7.  White blood cell count, especially neutrophil count, as a predictor of hypertension in a Japanese population.

Authors:  Yoshimi Tatsukawa; Wan-Ling Hsu; Michiko Yamada; John B Cologne; Gen Suzuki; Hideya Yamamoto; Kiminori Yamane; Masazumi Akahoshi; Saeko Fujiwara; Nobuoki Kohno
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Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

9.  Predictive value for the rural Chinese population of the Framingham hypertension risk model: results from Liaoning Province.

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Journal:  Am J Hypertens       Date:  2013-12-05       Impact factor: 2.689

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Authors:  Jinwei Wang; Luxia Zhang; Fang Wang; Lisheng Liu; Haiyan Wang
Journal:  Am J Hypertens       Date:  2014-04-03       Impact factor: 2.689

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  15 in total

1.  Prediction model and assessment of probability of incident hypertension: the Rural Chinese Cohort Study.

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2.  Development and validation of hypertension prediction models: The Korean Genome and Epidemiology Study_Cardiovascular Disease Association Study (KoGES_CAVAS).

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3.  Development of a risk prediction model for incident hypertension in Japanese individuals: the Hisayama Study.

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Review 4.  Recent development of risk-prediction models for incident hypertension: An updated systematic review.

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5.  A novel predicted model for hypertension based on a large cross-sectional study.

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6.  A variant in KCNQ1 gene predicts metabolic syndrome among northern urban Han Chinese women.

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Journal:  BMC Med Genet       Date:  2018-08-29       Impact factor: 2.103

7.  Body fat change and 8-year incidence of hypertension: Korean Genome and Epidemiology Study.

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8.  Multimorbidity patterns in old adults and their associated multi-layered factors: a cross-sectional study.

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9.  Sex-Specific Incidence Rates and Risk Factors for Hypertension During 13 Years of Follow-up: The Tehran Lipid and Glucose Study.

Authors:  Samaneh Asgari; Seyyed Saeed Moazzeni; Fereidoun Azizi; Hengameh Abdi; Davood Khalili; Monir Sadat Hakemi; Farzad Hadaegh
Journal:  Glob Heart       Date:  2020-04-08

10.  Development and validation of prediction models for hypertension risks in rural Chinese populations.

Authors:  Fei Xu; Jicun Zhu; Nan Sun; Lu Wang; Chen Xie; Qixin Tang; Xiangjie Mao; Xianzhi Fu; Anna Brickell; Yibin Hao; Changqing Sun
Journal:  J Glob Health       Date:  2019-12       Impact factor: 4.413

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