Serum homocysteine, creatinine, and glucose as predictors of the severity and extent of coronary artery disease in asymptomatic members of high-risk families

Eur J Clin Invest. 2002 Jul;32(7):472-8. doi: 10.1046/j.1365-2362.2002.01019.x.

Abstract

Background: There has been no previous study to determine the severity and extent of coronary artery disease (CAD) in subjects with no diagnosis or symptoms of CAD at the time of the angiography.

Methods: Fifty-three subjects, who were siblings of patients with early onset CAD, underwent coronary angiography. Indices to describe per-patient characteristics of CAD were calculated, based on computer-aided quantitative coronary angiography. Clinical and laboratory characteristics were correlated to the angiographic parameters.

Results: Serum total homocysteine (rho = 0.29, P < 0.05) and creatinine (rho = 0.47, P = 0.001) levels were related to the global atheroma burden index. The median of the atheroma burden index was two times higher in the top homocysteine quartile compared to the lowest quartile. The overall atheroma burden index correlated significantly with the fasting blood glucose level in all subjects. Diabetes, especially when albuminuria was present, was a powerful risk factor. In a multivariate analysis, only age and sex were independent predictors of atheroma burden.

Conclusions: Serum homocysteine and creatinine concentrations, and diabetes with albuminuria were found to be markers of the severity and extent of CAD in subjects of high-risk families without symptoms of CAD.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers / blood
  • Blood Glucose / analysis*
  • Coronary Angiography
  • Coronary Disease / blood
  • Coronary Disease / diagnosis*
  • Coronary Disease / etiology
  • Creatinine / blood*
  • Diabetes Complications
  • Diabetes Mellitus / blood
  • Diagnosis, Computer-Assisted
  • Female
  • Genetic Predisposition to Disease
  • Homocysteine / blood*
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Risk Factors

Substances

  • Biomarkers
  • Blood Glucose
  • Homocysteine
  • Creatinine