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

Author

Listed:
  • Hsing-Yi Chang

    (Institute of Population Health Sciences, National Health Research Institutes, Maoli 350401, Taiwan
    Institute of Public Health, National Yang-Ming University, Taipei 112304, Taiwan)

  • Hsin-Ling Fang

    (Institute of Population Health Sciences, National Health Research Institutes, Maoli 350401, Taiwan)

  • Ching-Yu Huang

    (Health Service Division, Industrial Technology Research Institute, Hsinchu 310401, Taiwan)

  • Chi-Yung Chiang

    (Institute of Population Health Sciences, National Health Research Institutes, Maoli 350401, Taiwan)

  • Shao-Yuan Chuang

    (Institute of Population Health Sciences, National Health Research Institutes, Maoli 350401, Taiwan)

  • Chih-Cheng Hsu

    (Institute of Population Health Sciences, National Health Research Institutes, Maoli 350401, Taiwan)

  • Hao-Min Cheng

    (Institute of Public Health, National Yang-Ming University, Taipei 112304, Taiwan
    Department of Cardiology, Taipei Veterans General Hospital, Taipei 112201, Taiwan)

  • Tzen-Wen Chen

    (Department of Nephrology, Wei-Gong Memorial Hospital, Maoli 350401, Taiwan)

  • Wei-Cheng Yao

    (Department of Pain Management, Min-Sheng General Hospital, Taoyuan 330056, Taiwan)

  • Wen-Harn Pan

    (Institute of Population Health Sciences, National Health Research Institutes, Maoli 350401, Taiwan
    Institute of Public Health, National Yang-Ming University, Taipei 112304, Taiwan
    Institute of Biomedical Sciences, Academia Sinica, Taipei 115201, Taiwan)

Abstract

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.

Suggested Citation

  • Hsing-Yi Chang & Hsin-Ling Fang & Ching-Yu Huang & Chi-Yung Chiang & Shao-Yuan Chuang & Chih-Cheng Hsu & Hao-Min Cheng & Tzen-Wen Chen & Wei-Cheng Yao & Wen-Harn Pan, 2022. "Developing and Validating Risk Scores for Predicting Major Cardiovascular Events Using Population Surveys Linked with Electronic Health Insurance Records," IJERPH, MDPI, vol. 19(3), pages 1-11, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1319-:d:732907
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    Cited by:

    1. Howard Hao Lee & Chang-Ching Yeh & Szu-Ting Yang & Chia-Hao Liu & Yi-Jen Chen & Peng-Hui Wang, 2022. "Tocolytic Treatment for the Prevention of Preterm Birth from a Taiwanese Perspective: A Survey of Taiwanese Obstetric Specialists," IJERPH, MDPI, vol. 19(7), pages 1-15, April.

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