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Li X, Liu T, Zhang J, et al. [Evaluating a simplified method for identifying high-risk individuals for cardiovascular diseases in the resource-constrained rural areas of China]. Zhonghua Liu Xing Bing Xue Za Zhi. 2014;35(9):981-4
Li, X., Liu, T., Zhang, J., Yan, L., Sun, J., Hao, Z., Li, C., & Wu, Y. (2014). [Evaluating a simplified method for identifying high-risk individuals for cardiovascular diseases in the resource-constrained rural areas of China]. Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi, 35(9), 981-4.
Li, Xian, et al. "[Evaluating a simplified method for identifying high-risk individuals for cardiovascular diseases in the resource-constrained rural areas of China]." Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi vol. 35,9 (2014): 981-4.
Li X, Liu T, Zhang J, Yan L, Sun J, Hao Z, Li C, Wu Y. [Evaluating a simplified method for identifying high-risk individuals for cardiovascular diseases in the resource-constrained rural areas of China]. Zhonghua Liu Xing Bing Xue Za Zhi. 2014 Sep;35(9):981-4. Chinese. PMID: 25492135.
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Zhonghua Liu Xing Bing Xue Za Zhi. 2014 Sep;35(9):981-4.

[Evaluating a simplified method for identifying high-risk individuals for cardiovascular diseases in the resource-constrained rural areas of China].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi

[Article in Chinese]
Xian Li, Tingming Liu, Jianxin Zhang, Lijing Yan, Jixin Sun, Zhixin Hao, Cong Li, Yangfeng Wu

Affiliations

  1. The George Institute for Global Healthat, Peking University Health Science Centre, Beijing 100088, China.
  2. Department of Clinical Medicine, Ankang Vocational Technical College of Shaanxi.
  3. Hebei Provincial Center for Disease Control and Prevention.
  4. The George Institute for Global Healthat, Peking University Health Science Centre, Beijing 100088, China; School of Public Health, Peking University. Email: [email protected].

PMID: 25492135

Abstract

OBJECTIVE: This research project aimed to evaluate whether a simplified method for identifying high-risk individuals for cardiovascular diseases proposed by the China Rural Health Initiative (CRHI) was feasible in the rural areas in China.

METHODS: 2 036 adults, aged 20 years or older were stratified-randomly sampled from 12 villages in Luquan county and Anguo county (Hebei province) respectively, to receive physical examination and filling in administered questionnaires. "Gold Standard" was used on high risk in Chinese Guidelines on Prevention and Treatment of Dyslipidemia in Adults to evaluate the CRHI standards:people with a history of coronary heart disease or stroke, or elderly as men ≥50 years or women ≥60 years with diabetes, or elderly with systolic blood pressure ≥160 mmHg. Sensitivity, specificity, positive and negative predictive values related to the identification of high-risk individuals for cardiovascular diseases were assessed.

RESULTS: The concordance rate between the CRHI standard and the gold standard was 92.9% , with sensitivity as 77.2%, specificity as 98.5%, Youden's Index as 0.76, positive predictive value as 94.7% and negative predictive value as 92.5%. Under CRHI standard, 21.3% of the adults were identified as high risk. The rate was increasing with age (P < 0.001), reaching 44% among those who were over 60 years old.

CONCLUSION: The CRHI standard seemed simple and easy and was suitable for identifying high-risk individuals for cardiovascular diseases in the resource-constrained rural areas.

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