What question did this study set out to answer?

To develop and validate a nomogram predicting hypoglycemia risk for elderly patients with type 2 diabetes living at home.

Nomogram‐based prediction of hypoglycemia risk in elderly community‐dwelling patients with type 2 diabetes: Development and validation in a multicentre real‐world cohort

View Full Paper

Ask AI

Bookmark

Authors

Development of a nomogram predicts hypoglycemia risk in elderly type 2 diabetes patients, indicating potential for better management.

To develop and validate a nomogram predicting hypoglycemia risk for elderly patients with type 2 diabetes living at home.
Multicentre prospective cohort study with 815 elderly type 2 diabetes patients.
Follow-up period of 6 months with primary endpoint as the first hypoglycemic event.
Model constructed using logistic regression after LASSO regression for variable selection.
Cumulative incidence of hypoglycemia was 17.5% over 6 months.
Nomogram achieved an AUC of 0.80, demonstrating good calibration and clinical utility.

Chen et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark