Relative value of inflammatory, hemostatic, and rheological factors for incident myocardial infarction and stroke:...

Area of Science:

• Cardiovascular epidemiology
• Biomarker research
• Preventive cardiology

Background:

• Cardiovascular disease (CVD) remains a leading cause of mortality worldwide.
• Identifying novel risk factors beyond traditional ones is crucial for improving CVD prediction.
• Subclinical atherosclerosis is an early indicator of CVD risk.

Purpose of the Study:

• To compare the association of 17 biomarkers (inflammation, hemostasis, rheology) with incident heart disease and stroke.
• To assess the incremental predictive ability of these biomarkers.
• To adjust for subclinical atherosclerosis and traditional risk factors.

Main Methods:

• Analysis of the Edinburgh Artery Study cohort (1592 participants, aged 55-74).
• Follow-up for a mean of 17 years, recording 416 cardiovascular events.
• Statistical adjustment for cardiovascular risk factors, prior CVD, and ankle-brachial index.

Main Results:

• Biomarkers including C-reactive protein, interleukin-6, and fibrinogen showed significant hazard ratios for incident CVD.
• These associations remained significant after adjusting for traditional risk factors and subclinical atherosclerosis.
• An incremental score of multiple biomarkers offered some added discrimination for CVD events.

Conclusions:

• Novel risk factors predict CVD independently of conventional factors and asymptomatic disease.
• The incremental predictive utility of these novel biomarkers for cardiovascular disease is modest.
• The clinical applicability of these biomarkers in routine practice requires further investigation.