An update on coronary risk factors

Area of Science:

• Cardiovascular Epidemiology
• Metabolic Syndrome Research

Background:

• Numerous independent risk factors for cardiovascular disease have been identified.
• These include dyslipidemia (small dense LDL, Lp(a)), hypertension, insulin resistance, inflammation (leucocyte count), hypercoagulability (plasma fibrinogen), hyperhomocysteinemia, and sleep disturbance.

Purpose of the Study:

• To highlight emerging independent risk factors in cardiovascular epidemiology.
• To emphasize the importance of considering the clustering of metabolic risk factors for accurate risk assessment.

Main Methods:

• Review of current epidemiologic research findings.
• Analysis of the interplay between various cardiovascular risk factors.

Main Results:

• Identification of multiple independent risk factors: small dense LDL, Lp(a), isolated systolic hypertension, insulin-resistance syndrome, leucocyte count, plasma fibrinogen, homocystinemia, and sleep disturbance.
• Moderate alcohol consumption shows a protective effect.
• Risk factor clustering significantly influences overall hazard.
• Multivariate risk assessment provides more accurate risk estimates than single-factor approaches.

Conclusions:

• Accurate cardiovascular risk assessment requires considering the clustering of multiple, metabolically linked risk factors.
• Multivariate analysis is superior to single-factor assessment for predicting cardiovascular risk.