Nomogram‐based prediction of hypoglycemia risk in elderly community‐dwelling patients with type 2 diabetes: Development and validation in a multicentre real‐world cohort
Authors' conclusion
This nomogram accurately quantifies the 6-month risk of hypoglycemia in elderly community-dwelling T2DM patients. It provides evidence-based decision support for hypoglycemia prevention in primary healthcare settings and may assist community physicians in delivering individualised chronic disease management.
Study context
- Population
- Elderly community-dwelling patients with T2D, five community health centres, recruited 1 March–31 May 2024
- Participants
- 815 patients
- Outcome
- First hypoglycemic event during follow-up
- Follow-up
- 6 months
Methodological detailsprospective cohort, multicentre, real-world data, least absolute shrinkage and selection operator (LASSO) and multivariable logistic regression, bootstrap internal validation, Followed 6 months after enrolment
- Prospective cohort
- Multicentre
- Real-world data
- LASSO and multivariable logistic regression
- Bootstrap internal validation
- Followed 6 months after enrolment
Performance
As reported in the abstract
6-month cumulative incidence of hypoglycemia
17.5%
Model AUC (good calibration and clinical utility)
0.80
Independent predictors in final model: history of hypoglycemia, HbA1c, BMI, self-management ability, living situation, exercise intensity, frequency of glucose monitoring, medication use, insulin use, hypoglycemia fear-behaviour scale score
10
Original publication
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