Development and Validation of Nomogram-Based Predictive Models for Severe Hypoglycemia in Adults With Type 1 Diabetes Treated With Multiple Daily Injections: The SEHYPAN Study.

Key Points

• To identify predictors of severe hypoglycemia in adults with Type 1 Diabetes treated with multiple daily injections and develop predictive models.
• Developed nomogram-based models for predicting severe hypoglycemia.
• Validated the models using clinical data from adults with Type 1 Diabetes on multiple daily injections.
• Identified key predictors associated with the risk of severe hypoglycemia.
• Nomogram models provide personalized risk estimates for severe hypoglycemia.
• Enhanced preventive care strategies based on predicted risk of hypoglycemia.
• Key predictors include specific glucose management variables and patient characteristics.

Abstract