Diabetes Risk Prediction Model in Louisiana
The proposed predictive risk model will better predict risk of:
- macro-/microvascular events,
- health care utilization and
- cost of care among
- Develop a risk engine for predicting risk of macrovascular and microvascular complications and health care utilization (acute hospitalization) among Ochsner patients with type 2 diabetes mellitus.
- Compare the prediction accuracy of the proposed risk model with UKPDS risk engine and Framingham model.
Principal Investigator: Eboni G. Price-Haywood, MD, MPH, FACP