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Development and Validation of a Hypoglycemia Risk Model for Intensive Insulin Therapy in Patients with Type 2 Diabetes
- Source :
- Journal of Diabetes Research, Vol 2020 (2020)
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- Aims. To develop a simple hypoglycemic prediction model to evaluate the risk of hypoglycemia during hospitalization in patients with type 2 diabetes treated with intensive insulin therapy. Methods. We performed a cross-sectional chart review study utilizing the electronic database of the Third Affiliated Hospital of Sun Yat-sen University, and included 257 patients with type 2 diabetes undergoing intensive insulin therapy in the Department of Endocrinology and Metabolism. Logistic regression analysis was used to derive the clinical prediction rule with hypoglycemia (blood glucose≤3.9 mmol/L) as the main result, and internal verification was performed. Results. In the derivation cohort, the incidence of hypoglycemia was 51%. The final model selected included three variables: fasting insulin, fasting blood glucose, and total treatment time. The area under the curve (AUC) of this model was 0.666 (95% CI: 0.594–0.738, P
- Subjects :
- Diseases of the endocrine glands. Clinical endocrinology
RC648-665
Subjects
Details
- Language :
- English
- ISSN :
- 23146745 and 23146753
- Volume :
- 2020
- Database :
- Directory of Open Access Journals
- Journal :
- Journal of Diabetes Research
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.2588438dc0e444a2adcd145890f48e24
- Document Type :
- article
- Full Text :
- https://doi.org/10.1155/2020/7292108