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Correlates of atherosclerosis in coronary arteries of patients undergoing angiographic evaluation
G O Perez1, A J Mendez, R B Goldberg
1Department of Dermatology and Cutaneous Surgery, University of Miami School of Medicine, Florida.
Insights
Lipid and lipoprotein levels correlate with coronary artery disease risk factors. However, a combination of apolipoprotein A-I, apolipoprotein B, diabetes, age, and family history best predicts disease presence.
Area of Science:
- Cardiology
- Biochemistry
- Epidemiology
Background:
- Coronary artery disease (CAD) is a leading cause of mortality worldwide.
- Lipid and lipoprotein profiles are established risk factors for CAD.
- Identifying key predictors of CAD is crucial for early intervention.
Purpose of the Study:
- To evaluate the correlation between lipid/lipoprotein levels and other CAD risk factors.
- To determine which factors best predict the presence of clinically significant coronary atherosclerosis.
- To inform the clinical evaluation and management of patients at risk for CAD.
Main Methods:
- Coronary angiography was performed on 101 male patients.
- Lipid and lipoprotein levels were measured.
- Logistic regression analysis was used to identify significant predictors of CAD.
Main Results:
- Significant differences in lipid and lipoprotein levels were observed between patients with and without significant CAD.
- No single lipid or lipoprotein variable could independently predict CAD.
- Apolipoprotein A-I, apolipoprotein B, diabetes, age, and family history collectively predicted CAD presence.
Conclusions:
- While individual lipid markers show correlations, a multifactorial approach is necessary for CAD risk assessment.
- The identified factors (apolipoprotein A-I, apolipoprotein B, diabetes, age, family history) are key in differentiating CAD presence.
- These findings support a comprehensive evaluation strategy for patients with suspected coronary atherosclerosis.
Abstract:
The correlations between lipid and lipoprotein measurements and other risk factors of coronary artery disease were evaluated in 101 men undergoing coronary angiography. Clinically significant disease was present in 75 patients, whereas 24 had no observable lesions and 2 had minimal lesions. Comparisons of individual lipid and lipoprotein levels were nearly all significantly different between patients with and patients without clinically significant disease; however, no single variable could predict the presence of disease among patients. Logistic regression analysis identified five factors: apolipoprotein A-I, apolipoprotein B, diabetes, age, and family history of heart disease, which account for most of the differences between the two patient groups. These results could have important implications for the evaluation and management of patients suspected of having coronary atherosclerosis.