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

Junyan Teng, Yanping Wei, Fengming Su, Zhiping Guo and Jing-Quan Zhong
Additional contact information
Junyan Teng: The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health
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

IJERPH, 2015, vol. 12, issue 9, 1-11

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.

Keywords: physiological chemicals; risk score; morbidity and mortality; hepatic disorder; cardiac disorder (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/12/9/11549/pdf (application/pdf)
https://www.mdpi.com/1660-4601/12/9/11549/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:12:y:2015:i:9:p:11549-11559:d:55708

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().