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Predictive Model for Hypoglycaemia Risk in Type 2 Diabetes Mellitus Patients During the Peri-Colonoscopy Period: A
Haiyan Yang1, Linlin Zhang1, Huiling Liu1
1Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, People's Republic of China.
This study developed a predictive model to identify type 2 diabetes patients at risk for low blood sugar during colonoscopy. The model helps nurses implement personalized strategies to prevent complications.
Area of Science:
- Endocrinology
- Gastroenterology
- Clinical Research
Background:
- Hypoglycaemia is a significant risk for patients with type 2 diabetes mellitus (T2DM) undergoing colonoscopy.
- Effective risk stratification is crucial for patient safety and optimal procedural outcomes.
Purpose of the Study:
- To identify factors influencing hypoglycaemia in T2DM patients during colonoscopy.
- To develop and validate a predictive model for peri-colonoscopy hypoglycaemia risk.
Main Methods:
- Retrospective cohort study of 598 T2DM patients undergoing colonoscopy.
- Data split into developmental (70%) and validation (30%) cohorts.
- Multivariate logistic regression used to identify predictors and build the model.
Main Results:
- 18.7% of patients experienced peri-colonoscopy hypoglycaemia.
- Key predictors identified: insulin, SGLT2 inhibitors, fasting post-colonoscopy, fasting C-peptide, and eGFR.
- Model demonstrated good predictive performance (AUC 0.78-0.82).
Conclusions:
- A validated predictive model for peri-colonoscopy hypoglycaemia in T2DM patients was successfully developed.
- The model enables early identification of high-risk patients for targeted interventions.
- Clinical nurses can utilize this tool for personalized blood glucose monitoring and preventive strategies.
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