ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024
Nomogram for Predicting Hypoglycemia in Type 2 Diabetes Mellitus Patients Treated with Insulin Pump During Enteral Nutrition.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- 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.Diabetes/metabolism research and reviews · 2026Observational
- A CGM-Based model for predicting hypoglycemia in type 2 diabetes patients with TIR in target.Diabetology & metabolic syndrome · 2025Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Purpose: To develop a prediction model for hypoglycemia in type 2 diabetes mellitus (T2DM) patients treated with an insulin pump during enteral nutrition. Methods: This retrospective study included T2DM patients treated with an insulin pump during enteral nutrition at the First Affiliated Hospital of Jinan University, Guangzhou Red Cross Hospital, Foshan First People's Hospital, and Guangdong Provincial Hospital of Traditional Chinese Medicine between January 2016 and December 2023. The patients were randomized 3:1 to the training and validation sets. The risk factors for hypoglycemia were analyzed. A prediction model was developed. Results: This study included 122 patients, and 57 patients had at least one hypoglycemic event during their hospitalization (46.72%). The multivariable logistic regression analysis showed that the time to reach the glycemic targets (odds ratio (OR)=1.408, 95% confidence interval (CI)=1.084-1.825, P=0.006), average glycemia (OR=0.387, 95% CI=0.233-0.643, P=0.010), coronary heart disease (OR=0.089, 95% CI=0.016-0.497, P<0.001), and the administration of hormone therapy (OR=6.807, 95% CI=1.128-41.081, P=0.037) were independently associated with hypoglycemia. A nomogram was built. The receiver operating characteristics analysis showed that the area under the curve of the model was 0.872 (95% CI=0.0.803-0.940) for the training set and 0.839 (95% CI=0.688-0.991) in the validation set. Conclusion: A nomogram was successfully built to predict hypoglycemia in T2DM patients treated with an insulin pump during enteral nutrition, based on the time to reach the glycemic targets, average glycemia, coronary heart disease, and the administration of hormone therapy.
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