Relationship between serum cystatin-c and coronary lesion severity in coronary artery disease patients with a normal glomerular filtration rate

J Int Med Res. 2021 Jan;49(1):300060520985639. doi: 10.1177/0300060520985639.

Abstract

Objective: Cardiovascular disease is a major cause of death. This study evaluated the relationship between serum cystatin-c and coronary lesion severity in coronary artery disease (CAD) patients with a normal glomerular filtration rate.

Methods: Nine hundred and fifty-nine patients were retrospectively included and divided into non-CAD and CAD groups according to coronary angiography results. CAD patients were classified into three groups by Gensini score tertiles. Multivariable logistic regression was used to study the relationship between serum cystatin-c and coronary lesion severity.

Results: Serum cystatin-c levels were significantly higher in CAD patients than in non-CAD patients. Correlation analysis revealed significant correlations between serum cystatin-c levels with the Gensini score and the number of diseased vessels. The area under the receiver operating characteristic curve of serum cystatin-c was 0.544 and 0.555 for predicting a high Gensini score and three-vessel disease, respectively. Multivariate stepwise regression analysis demonstrated that the serum cystatin-c level was an independent predictor of a high Gensini score [odds ratio (OR) = 2.177, 95% confidence interval (CI) 1.140-3.930] and three-vessel disease (OR = 1.845, 95% CI 0.994-3.424) after adjusting for the conventional CAD risk factors.

Conclusions: Serum cystatin-c was elevated in CAD patients and may be an independent predictor of CAD severity.

Keywords: Coronary artery disease; Gensini score; coronary lesion severity; cystatin-c; major adverse cardiovascular event; multi-vessel disease.

MeSH terms

  • Biomarkers
  • Coronary Angiography
  • Coronary Artery Disease* / diagnostic imaging
  • Glomerular Filtration Rate
  • Humans
  • Retrospective Studies
  • Risk Factors
  • Severity of Illness Index

Substances

  • Biomarkers