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Evaluating of Physiological Chemical Levels in Blood to Assess the Risk of Morbidity and Mortality of Ischemic Cardiovascular Disease

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Listed:
  • Junyan Teng

    (The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health
    Luoyang Orthopedic-Traumatological Hospital, Zhengzhou 450000, Henan, China)

  • Yanping Wei

    (Henan Province People's Hospital, Zhengzhou 450003, Henan, China)

  • Fengming Su

    (Emergency Medical Rescue Center of Zhengzhou City, Zhengzhou 450000, Henan, China)

  • Zhiping Guo

    (Luoyang Orthopedic-Traumatological Hospital, Zhengzhou 450000, Henan, China)

  • Jing-Quan Zhong

    (The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health)

Abstract

In this study, a multiple linear regression model to evaluate the risk of morbidity and mortality of ischemic cardiovascular disease is demonstrated. In this model, predictor variables are selected from physiological chemicals in a blood test of the subjects. Meanwhile, the calculated risk score is selected as a response variable. Four major latent variables including hepatic, nephric, metabolic, and BMI (Body Mass Index) are revealed by performing statistical and principal component analysis for the collected survey data. The analyzed result also shows that the cardiac disorder is correlated with symptoms of abnormal BMI, hepatic disorder, nephric disorder, and metabolic disorder. Thus, the risk of morbidity and mortality of ischemic cardiovascular disease can be assessed from the proposed multiple regression model.

Suggested Citation

  • Junyan Teng & Yanping Wei & Fengming Su & Zhiping Guo & Jing-Quan Zhong, 2015. "Evaluating of Physiological Chemical Levels in Blood to Assess the Risk of Morbidity and Mortality of Ischemic Cardiovascular Disease," IJERPH, MDPI, vol. 12(9), pages 1-11, September.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:9:p:11549-11559:d:55708
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    References listed on IDEAS

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    1. Colin D Mathers & Dejan Loncar, 2006. "Projections of Global Mortality and Burden of Disease from 2002 to 2030," PLOS Medicine, Public Library of Science, vol. 3(11), pages 1-20, November.
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