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Published on: November 24, 2020
Are Additional Lipid Measures Useful?
Insights
Traditional cholesterol levels don't always predict heart attack risk. Emerging biomarkers may improve cardiovascular disease risk assessment, but optimal lipid levels remain the primary focus for patient care.
Area of Science:
- Cardiovascular Medicine
- Clinical Chemistry
Background:
- Total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) are primary indicators for coronary artery disease (CAD) risk.
- However, a significant portion of myocardial infarction (MI) patients exhibit normal cholesterol levels, indicating limitations in traditional markers.
Purpose of the Study:
- To evaluate the utility of emerging biomarkers in refining cardiovascular risk stratification beyond traditional lipid panels.
- To assess the clinical significance of novel markers in predicting CAD and guiding treatment decisions.
Main Methods:
- Review of emerging biomarkers including LDL particle characteristics, lipoprotein(a), apolipoproteins, C-reactive protein, and lipoprotein-associated phospholipase A(2).
- Comparison of the predictive accuracy of these novel markers against traditional risk factors for CAD.
Main Results:
- Emerging biomarkers demonstrate potential to enhance cardiovascular risk assessment, offering greater accuracy than traditional factors in some patient groups.
- These novel markers may be particularly useful for high-risk individuals and those with borderline traditional risk factors.
Conclusions:
- While novel biomarkers show promise for improved cardiovascular risk stratification, current treatment strategies should prioritize optimizing established lipid levels (LDL-C, HDL-C, TGs).
- Further research is needed to establish treatment protocols that specifically target emerging biomarkers and demonstrate improved cardiovascular outcomes.
Abstract:
Total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) are the well-established standards by which clinicians identify individuals at risk for coronary artery disease (CAD), yet nearly 50% of people who have a myocardial infarction have normal cholesterol levels. Measurement of additional biomarkers may be useful to more fully stratify patients according to disease risk. The typical lipid panel includes TC, LDL-C, high-density lipoprotein cholesterol (HDL-C), and triglycerides (TGs). Emerging biomarkers for cardiovascular risk include measures of LDL-C pattern, size, and density; LDL particle number; lipoprotein(a); apolipoproteins (apoA1 and apoB100 being the most useful); C-reactive protein; and lipoprotein-associated phospholipase A(2). Some of these emerging biomarkers have been proven to add to, or be more accurate than, traditional risk factors in predicting coronary artery disease and, thus, may be useful for clinical decision-making in high-risk patients and in patients with borderline traditional risk factors. However, we still believe that until treatment strategies can uniquely address these added risk factors-ie, until protocols to rectify unhealthy findings are shown to improve cardiovascular outcomes-healthcare providers should continue to focus primarily on helping patients reach optimal LDL-C, HDL-C, and TG levels.
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