Evaluating CMR
Assessing CVD Risk: Traditional Approaches
Limitations
- 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)
Limited risk prediction models in women
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Another limitation of some risk prediction models is the lack of data in women. In the PROCAM study, for example, the limited number of coronary events that occurred during the 10 year follow-up meant that a risk prediction algorithm specific to women could not be developed. The PROCAM study therefore estimates risk using data extrapolated from male participants (2). Risk prediction for women can be estimated by dividing by 4 the global risk predicted in men. In the Italian CUORE study, women were also excluded from the prediction models. The authors explained that women were excluded because of the small number of events and the shorter follow-up period (5).
Reference
2. Assmann G, Cullen P and Schulte H. Simple scoring scheme for calculating the risk of acute coronary events based on the 10-year follow-up of the prospective cardiovascular Munster (PROCAM) study. Circulation 2002; 105: 310-5.
5. Ferrario M, Chiodini P, Chambless LE, et al. Prediction of coronary events in a low incidence population. Assessing accuracy of the CUORE Cohort Study prediction equation. Int J Epidemiol 2005; 34: 413-21.
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