Prediction of calculated future cardiovascular disease by monocyte count in an asymptomatic population

Deirdre F Waterhouse1, Ronan A Cahill, Frances Sheehan

  • 1Department of Cardiovascular Medicine, St Vincent's University Hospital, Dublin, Ireland. deirdrewaterhouse@ireland.com

Insights

Monocyte count is a strong predictor of cardiovascular disease (CVD) risk in asymptomatic individuals. This simple blood test can help identify those at risk for early intervention.

Area of Science:

  • Cardiology
  • Immunology
  • Preventive Medicine

Background:

  • Atherogenesis is linked to systemic inflammation, but the predictive value of white blood cell (WBC) subtypes for cardiovascular disease (CVD) risk is unclear.
  • Understanding these associations can improve cardiac risk prediction and monitoring.

Purpose of the Study:

  • To investigate the relationship between systemic white blood cell (WBC) subtypes and cardiovascular disease (CVD) risk in asymptomatic individuals.
  • To determine if specific WBC subtypes can enhance CVD risk prediction.

Main Methods:

  • 1383 asymptomatic individuals underwent clinical examination, phlebotomy, and exercise stress testing.
  • Ten-year CVD risk was estimated using Framingham and SCORE calculations.
  • Univariate and multiple regression modeling analyzed associations between WBC subtypes and CVD risk.

Main Results:

  • Monocyte count showed the strongest independent association with overall CVD risk (Framingham and SCORE).
  • Associations were also observed with body mass index, waist circumference, blood pressure, HDL cholesterol, and triglycerides.
  • Overall WBC, neutrophils, lymphocytes, and basophils had weaker associations with CVD risk.

Conclusions:

  • Monocyte count is a valuable, inexpensive biomarker for predicting cardiovascular risk in asymptomatic individuals.
  • This finding can guide interventions to prevent preclinical CVD development.
  • Monocyte count may improve early detection and management of cardiovascular risk.
Abstract

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