Why the study?
Are cardiovascular risk estimation models useful for predicting major cardiovascular outcomes in individuals with diabetes?
Are cardiovascular risk estimation models useful for predicting major cardiovascular outcomes in individuals with diabetes?
Global cardiovascular risk estimation tools are useful for initiating and intensifying preventive measures in individuals with diabetes, despite a tendency to overestimate absolute risk.
May support cautious use of risk models for diabetes stratification despite overestimation; leaves open need for recalibrated validation studies.
Purpose. To examine the usefulness of cardiovascular risk estimation models in people with diabetes. Methods. Review of published studies that compare the discriminative power of major cardiovascular risk factors single or in combination in individuals with and without diabetes, for major cardiovascular outcomes. Results. In individuals with and without diabetes, major risk factors affect cardiovascular risk similarly, with no evidence of any significant interaction. Accounting for diabetes-specific parameters, cardiopreventative therapies can significantly improve risk estimation in diabetes. General and diabetes-specific cardiovascular risk models have a useful discriminative power, but tend to overestimate risk in individuals with diabetes. Their impact on care delivery, adherence to therapies, and patients' outcome remain poorly understood. Conclusions. The high-risk status conferred by diabetes does not preclude the estimation of absolute cardiovascular risk estimation using global risk tools in individuals with diabetes, as this is useful for the initiation and intensification of preventive measures.
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Echouffo‐Tcheugui et al. (2011) studied this question.
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