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

International Journal of Environmental Research and Public Health

卷:12

Fengming Su¹  Yanping Wei²  Zhiping Guo³  Junyan Teng⁴  Jing-Quan Zhong⁴ 

[1] Emergency Medical Rescue Center of Zhengzhou City, Zhengzhou 450000, Henan, China;

[2] Henan Province People's Hospital, Zhengzhou 450003, Henan, China;

[3] Luoyang Orthopedic-Traumatological Hospital, Zhengzhou 450000, Henan, China;

[4] The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health;

关键词: physiological chemicals;    risk score;    morbidity and mortality;    hepatic disorder;    cardiac disorder;   

DOI  :  10.3390/ijerph120911549

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown