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March 8, 2026

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.

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Authors

PGPablo Rodríguez de Vera GómezVBVirginia BellidoMFMiguel Damas Fuentes

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Overview

SEHYPAN study demonstrates nomogram-based models predicting severe hypoglycemia in adults, suggesting improved clinical care.

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.

Cite This Study

Gómez et al. (2026) studied this question.

synapsesocial.com/papers/69ada90bbc08abd80d5bc70fhttps://doi.org/10.1002/dmrr.70151
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