Development of a Multivariable Risk Prediction Tool to Predict Adverse Outcomes among Children with Type 1 Diabetes: A Pilot Study
Authors' conclusion
Our model identified patients at an increased risk of acute healthcare utilisation due to severe hypoglycaemia, hyperglycaemia, and DKA.
Study context
- Population
- Children and adolescents (<18 years) with T1D seen at a regional paediatric diabetes clinic, 1 January 2018 to 1 January 2020
- Outcome
- Number of ED presentations or hospital admissions for severe hypoglycaemia, hyperglycaemia and diabetic ketoacidosis (DKA)
- Follow-up
- Across the study period
Methodological detailspilot study, risk prediction model development, single regional paediatric diabetes clinic
- Pilot study
- Risk prediction model development
- Single regional paediatric diabetes clinic
Main finding
As reported in the abstract
Multivariable risk prediction model for acute healthcare utilisation
Discrimination (AUC)
0.81
Observational data: associations, not effects.
Original publication
Development of a Multivariable Risk Prediction Tool to Predict Adverse Outcomes among Children with Type 1 Diabetes: A Pilot Study. Pediatr Diabetes. Published 20 May 2024. doi:10.
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