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Quantification of Monocyte Transmigration and Foam Cell Formation from Individuals with Chronic Inflammatory Conditions
Published on: October 17, 2017
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.
Introduction:
Although atherogenesis is clearly entwined with systemic inflammation, the risk-predictive relationship between preclinical and overt cardiovascular disease (CVD) and systemic white blood cell (WBC) subtypes remains unclear. Implication of an association would greatly facilitate cardiac risk prediction, assessment and monitoring.
Methods:
1383 asymptomatic individuals (795 men, 588 women) attending for executive health screening were examined clinically as well as with phlebotomy and exercise stress testing to determine their ten-year risk of developing overt cardiovascular disease (as estimated by both Framingham and SCORE calculations). The significance of their association with overall WBC and subtypes were determined using both univariate and multiple regression modeling.
Results:
OF ALL WBC SUBTYPES, MONOCYTE COUNT WAS FOUND TO HAVE THE STRONGEST, INDEPENDENT RELATIONSHIP WITH OVERALL CVD RISK BY BACKWARDS LINEAR REGRESSION MODELING (FRAMINGHAM: beta = 0.057; p = 0.03; SCORE: beta = 0.128; p = <0.0005). Independent associations with BMI (beta = 5.214; p = <0.0005), waist circumference (beta = 21.866; p = <0.0005), systolic blood pressure (beta = 10.738; p = 0.003), HDL cholesterol (beta = -0.639; p = <0.0005) and triglyceride concentrations (beta = 0.787; p = <0.0005) were also evident. Overall WBC along with neutrophils, lymphocytes and basophil subfractions were variably (but less strongly) associated with such dependents and outcome measures.
Conclusions:
In conclusion, monocyte count, a simple inexpensive test, may provide useful predictive cardiovascular risk information in asymptomatic individuals to inform and guide attempts at interrupting CVD development at a preclinical stage.
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