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

International Journal of Environmental Research and Public Health

Junyan Teng²  Yanping Wei³  Fengming Su⁴  Zhiping Guo¹  Jing-Quan Zhong² 

[1] Luoyang Orthopedic-Traumatological Hospital, Zhengzhou 450000, Henan, China; E-Mail:;The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health; The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Jinan 250012 , Shandong, China; E-Mail:;Henan Province People’s Hospital, Zhengzhou 450003, Henan, China; E-Mail:;Emergency Medical Rescue Center of Zhengzhou City, Zhengzhou 450000, Henan, China; E-Mail:

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

DOI  :  10.3390/ijerph120911549

来源: mdpi

【 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】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.