
Methods: Our evaluation used two approaches; i.e. 1) comparative statistics for the discrepancies between models including mean and variance of the absolute deviation for diabetes patients in 20012002 National Health and Nutrition Examination Survey (NHANES) and 2) formulation and solution to a Markov decision process (MDP) model for a particular decision related to treatment of diabetes patients, the choice of when to start statins. Our MDP assumes discrete 2year decision epochs with a finite decision horizon between 40 and 80 years of age. At each year the patient may opt to begin statins. The model considers the cost of statins as well as the collective benefits of risk reductions for CHD and Stroke based on expected effects of statins on total cholesterol and HDL.
Results: We find that there are significant differences in predicted probabilities of complications between all three risk models. In particular, UKPDS and Archimedes have a mean absolute percentage error for 10 year risk of CHD of 9.1%, UKPDS and Framingham have a mean deviation of 8.7%, and Archimedes and Framingham have a mean deviation of 3.5%. Similarly, mean deviations for 10 year risk of stroke are 7.5%, 10.0%, and 4.2%, respectively. Through sensitivity analysis with our MDP model we find that the differences in risk can translate to as much as an 8 year difference in optimal age to start statin treatment between UKPDS and Archimedes, 10 year difference between UKPDS and Framingham, and a 4 year difference between Framingham and Archimedes.
Conclusions: Based on our analysis, we conclude that there are differences in alternative risk models to predict the probability of CHD and stroke among diabetes patients. Furthermore, such deviations translate into significant differences in the implied optimal time to start treatment with statins.
See more of Concurrent Abstracts C: Methodological Advances and Applications: Regression
See more of The 28th Annual Meeting of the Society for Medical Decision Making (October 1518, 2006)