Identification of Hypertension Predictors and Application to Hypertension Prediction in an Urban Han Chinese Population: A Longitudinal Study, 2005–2010 ; Prev Chronic Dis

التفاصيل البيبلوغرافية
العنوان: Identification of Hypertension Predictors and Application to Hypertension Prediction in an Urban Han Chinese Population: A Longitudinal Study, 2005–2010 ; Prev Chronic Dis
المساهمون: Zhang, Wenchao, Wang, Linping, Chen, Yafei, Tang, Fang, Xue, Fuzhong, Zhang, Chengqi
المصدر: Prev Chronic Dis. 12.
المجموعة: CDC Stacks (Centers for Disease Control and Prevention)
مصطلحات موضوعية: Original Research
الوصف: Introduction ; Research suggests that targeting high-risk, nonhypertensive patients for preventive intervention may delay the onset of hypertension. We aimed to develop a biomarker-based risk prediction model for assessing hypertension risk in an urban Han Chinese population. ; Methods ; We analyzed data from 26,496 people with hypertension to extract factors from 11 check-up biomarkers. Then, depending on a 5-year follow-up cohort, a Cox model for predicting hypertension development was built by using extracted factors as predictors. Finally, we created a hypertension synthetic predictor (HSP) by weighting each factor with its risk for hypertension to develop a risk assessment matrix. ; Results ; After factor analysis, 5 risk factors were extracted from data for both men and women. After a 5-year follow-up, the cohort of participants had an area under receiver operating characteristic curve (area under the curve [AUC]) with an odds ratio (OR) of 0.755 (95% confidence interval [CI], 0.746–0.763) for men and an OR of 0.801 (95% CI, 0.792–0.810) for women. After tenfold cross validation, the AUC was still high, with 0.755 (95% CI, 0.746–0.763) for men and 0.800 (95% CI, 0.791–0.810) for women. An HSP-based 5-year risk matrix provided a convenient tool for risk appraisal. ; Conclusion ; Hypertension could be explained by 5 factors in a population sample of Chinese urban Han. The HSP may be useful in predicting hypertension. ; 26513440 ; PMC4663898
نوع الوثيقة: other/unknown material
اللغة: unknown
العلاقة: cdc:36600; http://stacks.cdc.gov/view/cdc/36600Test/
الإتاحة: http://stacks.cdc.gov/view/cdc/36600Test/
رقم الانضمام: edsbas.8F2EB3C8
قاعدة البيانات: BASE