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Published on: January 28, 2020
New directions in cardiovascular risk assessment: the role of secondary risk stratification markers
1Consultant in Metabolic Medicine/Chemical Pathology, St. Thomas' Hospital Campus, Lambeth Palace Road, London SE1 7EH, UK. anthony.wierzbicki@kcl.ac.uk
Insights
Current cardiovascular disease (CVD) risk screening identifies only 70% of at-risk individuals. Research is exploring additional markers like family history and lipoprotein (a) to improve CVD event prediction.
Area of Science:
- Cardiology
- Preventive Medicine
- Biomarker Research
Background:
- Current cardiovascular disease (CVD) risk screening utilizes multivariate methods and calculators from epidemiological studies.
- These methods identify approximately 70% of individuals at risk for CVD events, necessitating improved predictive capacity.
Purpose of the Study:
- To evaluate the potential of incorporating additional risk factors and novel biomarkers into existing CVD risk screening protocols.
- To enhance the identification of individuals at risk for cardiovascular events.
Main Methods:
- Review of existing literature on established and emerging CVD risk factors.
- Assessment of evidence for adding family history, lipoprotein (a), C-reactive protein, N-terminal pro-B-type natriuretic peptide, coronary artery calcium score, carotid intima-media thickness, ankle-brachial index, and high-sensitivity troponins.
- Consideration of studies focusing on intermediate-risk groups and the general population.
Main Results:
- Family history of premature CVD is a well-established addition.
- Lipoprotein (a) and C-reactive protein show promise for specific populations and general use, respectively.
- N-terminal pro-B-type natriuretic peptide and coronary artery calcium score significantly enhance risk prediction.
- Data for carotid intima-media thickness and ankle-brachial index are less robust; high-sensitivity troponins show potential but require more data.
Conclusions:
- Additional biomarkers can improve CVD risk classification beyond conventional methods.
- Large-scale meta-analyses of pooled patient data are crucial to determine optimal additional markers and their application groups.
- Further research is needed to validate emerging markers for widespread CVD risk assessment.
Abstract:
Cardiovascular disease (CVD) risk screening is performed by multivariate methods relying on calculators derived from the Framingham study, other epidemiological studies or primary care records. However, it only identifies 70% of individuals at risk for CVD events and there has been interest in adding other risk factors to improve its predictive capacity. The addition of a family history of premature CVD is well established and there is evidence for adding lipoprotein (a) in some populations and possibly C-reactive protein may be suitable for general use in CVD risk assessment. Most new biochemical and imaging markers have been assessed in the context of improving risk classification in intermediate-risk groups rather than in the general population. There is evidence that N-terminal pro-B-type natriuretic peptide and coronary artery calcium score add significantly to risk prediction. The data for carotid intima-media thickness, ankle-brachial index are less strong and high sensitivity troponins look promising, but have had only limited data to date. Large scale meta-analyses ideally of pooled primary patient data will be required to determine the best additional markers to add to conventional risk prediction and in what groups to apply them.
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