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Article

Developing and Validating Risk Scores for Predicting Major Cardiovascular Events Using Population Surveys Linked with Electronic Health Insurance Records

1
Institute of Population Health Sciences, National Health Research Institutes, Maoli 350401, Taiwan
2
Institute of Public Health, National Yang-Ming University, Taipei 112304, Taiwan
3
Health Service Division, Industrial Technology Research Institute, Hsinchu 310401, Taiwan
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Department of Cardiology, Taipei Veterans General Hospital, Taipei 112201, Taiwan
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Department of Nephrology, Wei-Gong Memorial Hospital, Maoli 350401, Taiwan
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Department of Pain Management, Min-Sheng General Hospital, Taoyuan 330056, Taiwan
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Institute of Biomedical Sciences, Academia Sinica, Taipei 115201, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editors: Paul B. Tchounwou, Madhan Balasubramanian and Benjumin Hsu
Int. J. Environ. Res. Public Health 2022, 19(3), 1319; https://doi.org/10.3390/ijerph19031319
Received: 24 November 2021 / Revised: 13 January 2022 / Accepted: 19 January 2022 / Published: 25 January 2022
A risk prediction model for major cardiovascular events was developed using population survey data linked to National Health Insurance (NHI) claim data and the death registry. Another set of population survey data were used to validate the model. The model was built using the Nutrition and Health Survey in Taiwan (NAHSIT) collected from 1993–1996 and linked with 10 years of events from NHI data. Major adverse cardiovascular events (MACEs) were identified based on hospital admission or death from coronary heart disease or stroke. The Taiwanese Survey on Hypertension, Hyperglycemia, and Hyperlipidemia (TwSHHH), conducted in 2002 was used for external validation. The NAHSIT data consisted of 1658 men and 1652 women aged 35–70 years. The incidence rates for MACE per 1000 person-years were 13.77 for men and 7.76 for women. These incidence rates for the TwSHHH were 7.27 for men and 3.58 for women. The model had reasonable discrimination (C-indexes: 0.76 for men; 0.75 for women), thus can be used to predict MACE risks in the general population. NHI data can be used to identify disease statuses if the definition and algorithm are clearly defined. Precise preventive health services in Taiwan can be based on this model. View Full-Text
Keywords: National Health Insurance database; risk prediction; population survey National Health Insurance database; risk prediction; population survey
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MDPI and ACS Style

Chang, H.-Y.; Fang, H.-L.; Huang, C.-Y.; Chiang, C.-Y.; Chuang, S.-Y.; Hsu, C.-C.; Cheng, H.-M.; Chen, T.-W.; Yao, W.-C.; Pan, W.-H. Developing and Validating Risk Scores for Predicting Major Cardiovascular Events Using Population Surveys Linked with Electronic Health Insurance Records. Int. J. Environ. Res. Public Health 2022, 19, 1319. https://doi.org/10.3390/ijerph19031319

AMA Style

Chang H-Y, Fang H-L, Huang C-Y, Chiang C-Y, Chuang S-Y, Hsu C-C, Cheng H-M, Chen T-W, Yao W-C, Pan W-H. Developing and Validating Risk Scores for Predicting Major Cardiovascular Events Using Population Surveys Linked with Electronic Health Insurance Records. International Journal of Environmental Research and Public Health. 2022; 19(3):1319. https://doi.org/10.3390/ijerph19031319

Chicago/Turabian Style

Chang, Hsing-Yi, Hsin-Ling Fang, Ching-Yu Huang, Chi-Yung Chiang, Shao-Yuan Chuang, Chih-Cheng Hsu, Hao-Min Cheng, Tzen-Wen Chen, Wei-Cheng Yao, and Wen-Harn Pan. 2022. "Developing and Validating Risk Scores for Predicting Major Cardiovascular Events Using Population Surveys Linked with Electronic Health Insurance Records" International Journal of Environmental Research and Public Health 19, no. 3: 1319. https://doi.org/10.3390/ijerph19031319

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