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The associations between serum biomarkers and stenosis of the coronary arteries

Lei Feng1,2,3, Shiyan Nian4, Shu Zhang3

  • 1Department of Laboratory, People's Hospital of Yuxi City, Yuxi City, Yunnan, P.R. China.

Oncotarget
|June 3, 2016
PubMed

Insights

Serum biomarkers correlate with coronary artery stenosis severity. Key indicators like age, HDL, LDL, Lp(a), and HCY show gender-specific associations with the number of blocked coronary arteries.

Area of Science:

  • Cardiovascular Medicine
  • Biochemistry
  • Medical Diagnostics

Background:

  • Serum biochemical indices offer insights into physiological and pathophysiological states.
  • The relationship between serum markers and coronary artery stenosis extent is under-researched.

Purpose of the Study:

  • To investigate the association patterns between serum biochemical markers and the number of stenotic coronary arteries.
  • To identify gender-specific risk factors for coronary artery stenosis.

Main Methods:

  • Cross-sectional study involving 627 healthy controls and 1,049 coronary heart disease (CHD) patients.
  • Binary and ordinal multiple logistic regression analyses were employed to evaluate associations.
  • Serum biochemical markers were analyzed in relation to the number of stenotic coronary arteries.

Main Results:

  • Age, high-density lipoprotein cholesterol (HDL), and homocysteine (HCY) were common risk factors for CHD in both genders.
  • In males, increasing stenosis correlated with higher age, low-density lipoprotein cholesterol (LDL), and lipoprotein (Lp(a)), and lower HDL.
  • In females, stenosis correlated positively with age and Lp(a), and negatively with total bilirubin (TBil). Age and Lp(a) were common positive risk factors, while HDL and LDL were male-specific, and TBil was female-specific.

Conclusions:

  • Serum biomarker levels are correlated with the number of stenotic coronary arteries.
  • These correlations exhibit distinct gender-based patterns, highlighting the importance of sex-specific analysis in cardiovascular risk assessment.

Keywords:
Pathology Sectionbinary multiple logistic regression analysiscoronary heart diseaseordinal multiple logistic regression analysisrisk factorsserum biochemical indices

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