Fibrinolysis and cardiovascular risk factors: association with fibrinogen, lipids, and monocyte count

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Experimental and Imaging Techniques for Examining Fibrin Clot Structures in Normal and Diseased States
07:09

Experimental and Imaging Techniques for Examining Fibrin Clot Structures in Normal and Diseased States

Published on: April 1, 2015

Karim Zouaoui Boudjeltia1, Michel Guillaume, Charles Henuzet

  • 1Experimental Medicine Laboratory, Université Libre de Bruxelles, Unit 222, ISPPC, CHU Charleroi, Hopital André Vésale, 706, Montigny-Le-Tilleul, Belgium. karim.zouaoui@chu-charleroi.be

European Journal of Internal Medicine
|February 24, 2006
PubMed

Insights

Fibrinolytic function, measured by Euglobulin Clot Lysis Time (ECLT), correlates with cardiovascular risk factors. Monocyte count (MC) and fibrinogen significantly predict ECLT, suggesting its utility in cardiovascular risk assessment.

Area of Science:

  • Cardiology
  • Vascular Biology
  • Biochemistry

Background:

  • Established clinical epidemiological observations identify numerous cardiovascular disease (CVD) risk factors.
  • Endothelial dysfunction and resultant hypofibrinolysis may represent a critical, yet underexplored, link in CVD pathogenesis.

Purpose of the Study:

  • To investigate the relationship between clinical cardiovascular risk factors (CVRF) and fibrinolytic capacity.
  • To evaluate the predictive value of blood parameters, including monocyte count (MC) and fibrinogen, on fibrinolysis.
  • To assess the utility of Euglobulin Clot Lysis Time (ECLT) as a biological marker for cardiovascular risk.

Main Methods:

  • Cross-sectional study of 160 subjects (134 in primary prevention) with assessed CVRF and blood parameters.
  • Measurement of fibrinolytic capacity using Euglobulin Clot Lysis Time (ECLT).
  • Multivariate analysis (backward stepwise regression) to determine the influence of clinical and biological parameters on ECLT.

Main Results:

  • ECLT demonstrated a correlation with the Framingham risk score and was significantly influenced by the number of clinical CVRF.
  • Monocyte count (MC) was confirmed as a key predictive factor for ECLT.
  • In subjects without clinical CVRF, MC, LDL-c, and fibrinogen collectively explained 67% of the ECLT variability.

Conclusions:

  • Euglobulin Clot Lysis Time (ECLT) is associated with the number of epidemiologically defined clinical CVRF and monocyte count (MC).
  • Fibrinolytic function, as assessed by ECLT, integrates multiple risk factors.
  • ECLT is proposed as a valuable biological test for physicians in assessing patient cardiovascular risk.
Abstract

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