title: The associations between serum biomarkers and stenosis of the coronary arteries.
abstract: Serum biochemical indices reflect dynamic physiological and pathophysiological processes within the body, the associations between these markers and the number of stenotic coronary arteries have been rarely studied. 627 healthy controls and 1,049 coronary heart disease (CHD) patients were sequentially recruited in our hospital. The association patterns between serum biochemical markers and the numbers of stenotic coronary arteries were evaluated in a cross-sectional manner. Upon binary multiple logistic regression analysis, the risk factor patterns differed by gender. Age, high-density lipoprotein cholesterol (HDL) and homocysteine (HCY) were common risk factors for CHD in both males and females. Upon ordinal multiple logistic regression analysis, age, low-density lipoprotein cholesterol (LDL) and lipoprotein (Lp) (a) increased, and HDL decreased, as the number of stenotic coronary arteries increased in male patients. Age and Lp(a) were positively associated with the number of stenotic coronary arteries and total bilirubin (TBil) was negatively associated with the number of stenotic coronary arteries in female patients. Age and Lp(a) were common risk factors positively associated with the number of stenotic coronary arteries in both male and female patients. HDL and LDL were male-specific risk factors and TBil was a female-specific risk factor for an increasing number of stenotic coronary arteries. In conclusion, serum biomarker levels correlated with the number of stenotic coronary arteries and showed gender different patterns.
authors.affiliation: Department of Laboratory, People's Hospital of Yuxi City, Yuxi City, Yunnan, P.R. China.|Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Baiyun District, Guangzhou, Guangdong, P.R. China.|Department of Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan, P.R. China.
authors.forename: Lei
authors.initials: L
authors.lastname: Feng
authors.affiliation: Intensive Care Unit, People's Hospital of Yuxi City, Yuxi City, Yunnan, P.R. China.
authors.forename: Shiyan
authors.initials: S
authors.lastname: Nian
authors.affiliation: Department of Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan, P.R. China.
authors.forename: Shu
authors.initials: S
authors.lastname: Zhang
authors.affiliation: Department of Laboratory, People's Hospital of Yuxi City, Yuxi City, Yunnan, P.R. China.
authors.forename: Wenbo
authors.initials: W
authors.lastname: Xu
authors.affiliation: Department of Laboratory, People's Hospital of Yuxi City, Yuxi City, Yunnan, P.R. China.
authors.forename: Xingfeng
authors.initials: X
authors.lastname: Zhang
authors.affiliation: Department of Laboratory, People's Hospital of Yuxi City, Yuxi City, Yunnan, P.R. China.
authors.forename: Dan
authors.initials: D
authors.lastname: Ye
authors.affiliation: Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Baiyun District, Guangzhou, Guangdong, P.R. China.
authors.forename: Lei
authors.initials: L
authors.lastname: Zheng
mesh_terms: D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood*; D016022:Case-Control Studies; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D003251:Constriction, Pathologic / Q000097:blood / Q000175:diagnosis; D003327:Coronary Disease / Q000097:blood*; D003331:Coronary Vessels / Q000473:pathology*; D003430:Cross-Sectional Studies; D005260:Female; D006710:Homocysteine / Q000097:blood; D006801:Humans; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis; D012307:Risk Factors; D011795:Surveys and Questionnaires; D014280:Triglycerides / Q000097:blood
chemical_list: D015415:Biomarkers; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D014280:Triglycerides; D006710:Homocysteine
keywords: Pathology Section; binary multiple logistic regression analysis; coronary heart disease; ordinal multiple logistic regression analysis; risk factors; serum biochemical indices