Assessing CVD Risk: Traditional Approaches
- 1Key Points (1 page)
- 2Predicting CVD Risk (1 page)
- 3Applicability of Prediction Models to Different Populations (2 pages)
- 4Limited Risk Prediction Models in Women (1 page)
- 5Exclusion of Subjects With Type 2 Diabetes (2 pages)
- 6Exclusion of Potential Risk Factors in Prediction Equations (1 page)
- 7Endpoints Heterogeneity (1 page)
- 8References (1 page)
- In clinical practice, the use of different risk assessment methods to identify individuals at high risk of CHD or CVD can sometimes lead to differences in risk estimates.
- Although established risk prediction algorithms are useful tools for evaluating an individual’s CHD risk, there are several limitations that need to be considered when using these risk charts and scores in clinical practice.
- The following must be taken into account when using risk charts and scores:
- The prediction model may not apply to other populations.
- Risk prediction algorithms are sometimes specific to men and cannot be applied to women.
- Separate risk charts may be required for type 2 diabetic patients.
- There may be differences in the CVD/CHD endpoints considered.
- The risk prediction models may consider only a limited number of risk factors/markers.
- Most charts do not optimally assess lifetime risk.