Classical and Novel Biomarkers for Cardiovascular Risk Prediction in the United States
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Why the study?
Does the addition of novel biomarkers improve cardiovascular risk prediction beyond classical risk factors in individuals?
Population
Individuals assessed for cardiovascular risk in the United States
Comparison
Addition of novel biomarkers to risk prediction… vs Risk prediction models based solely on classical…
Design
Review
Authors
Discussion
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Implication
Most novel biomarkers should not yet inform risk stratification; leaves open prospective validation of CAC-enhanced models in diverse cohorts.
Structured PICO
Does the addition of novel biomarkers improve cardiovascular risk prediction beyond classical risk factors in individuals?
P
Population
Individuals assessed for cardiovascular risk in the United States
I
Intervention
Addition of novel biomarkers (e.g., coronary artery calcium, C-reactive protein, ankle/brachial index) to risk prediction models
C
Comparator
Risk prediction models based solely on classical risk factors (e.g., Framingham model)
O
Outcome
Improvement in cardiovascular disease risk prediction (measured by change in C statistic and net reclassification index)
Few novel biomarkers significantly improve cardiovascular risk prediction beyond classical risk factors, though structural measures like coronary artery calcium show the most clinical utility for intermediate-risk patients.
Limitations
- Not a systematic review
Cite This Study
Aaron R. Folsom (2013) studied this question.
Topics
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