Key result
A contemporary cardiovascular risk prediction model using routinely measured variables demonstrated acceptable discrimination (c-statistic 0.70) for major cardiovascular events in type 2 diabetes.
Why the study?
Can major cardiovascular events be accurately predicted in people with type 2 diabetes using a contemporary model based on routinely measured clinical and biological variables?
Population
7168 participants with type 2 diabetes mellitus without previous cardiovascular disease from the ADVANCE…
Design
Cohort
Follow-up
4.5 years
Authors
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May support routine-variable risk stratification in T2D; leaves open external validation before practice change.
Cohort (n=7,168)
Can major cardiovascular events be accurately predicted in people with type 2 diabetes using a contemporary model based on routinely measured clinical and biological variables?
Effect estimate: c-statistic 0.70
A newly developed cardiovascular risk prediction model using routine clinical variables demonstrates acceptable discrimination for predicting major cardiovascular events in patients with type 2 diabetes.
Kengne et al. (2011) conducted a cohort in Type 2 diabetes mellitus (n=7,168). Cardiovascular risk prediction model was evaluated on Major cardiovascular events (c-statistic 0.70). A contemporary cardiovascular risk prediction model using routinely measured variables demonstrated acceptable discrimination (c-statistic 0.70) for major cardiovascular events in type 2 diabetes.
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