Risk Modeling to Reduce Monitoring of an Autoantibody-Positive Population to Prevent Diabetic Ketoacidosis (DKA) at Type 1 Diabetes Diagnosis
Authors' conclusion
Our study has clinical implications for the metabolic monitoring of at-risk individuals. Fewer monitoring visits would reduce the clinical burden, suggesting a path toward transitioning monitoring beyond the research setting.
Study context
- Population
- AAB-positive at-risk relatives of people with T1D, pediatric and adult, single or multiple AAB, enrolled in PTP March 2004 to April 2019AAB-positive
- Participants
- 6,193 relatives
- Exposure
- Reduced-frequency metabolic monitoring schedules vs usual research monitoring (every 6 months)
- Outcome
- Population incidence of DKA at T1D diagnosis with optimised monitoring schedule
Methodological detailspopulation-based, multinational, risk modelling, hazard-rate models of progression
- Population-based
- Multinational
- Risk modelling
- Hazard-rate models of progression
Main finding
As reported in the abstract
- Halving the number of monitoring visits usually conducted in research studies is likely to substantially lower the population incidence of DKA at T1D diagnosis
Observational data: associations, not effects.
Original publication
Risk Modeling to Reduce Monitoring of an Autoantibody-Positive Population to Prevent DKA at Type 1 Diabetes Diagnosis. J Clin Endocrinol Metab. Published 13 October 2022. doi:10.
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