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A universal model of antibody prediction (MAP) of type 1 diabetes in children
1Department of Paediatrics, School of Medicine, Auckland, New Zealand.
Insights
High levels of islet cell antibodies and insulin autoantibodies in children predict Type 1 diabetes risk. This autoantibody prediction model is effective for children with and without a family history of diabetes.
Area of Science:
- Immunology
- Endocrinology
- Pediatrics
Background:
- Type 1 diabetes (T1D) is an autoimmune disease characterized by the destruction of pancreatic beta cells.
- Autoantibodies, such as islet cell antibodies (ICAs) and insulin autoantibodies (IAAs), are key biomarkers for T1D prediction.
- Identifying at-risk children early is crucial for timely intervention and management.
Purpose of the Study:
- To evaluate the predictive value of specific autoantibody criteria for the development of Type 1 diabetes in children.
- To assess the model's efficacy in both children with and without a family history of T1D.
Main Methods:
- Children under 10 years old were assessed for islet cell antibodies (ICAs) and insulin autoantibodies (IAAs).
- Specific autoantibody levels (ICA ≥ 40 units, or ICA 10–<40 units with IAA) were used as predictive criteria.
- These criteria were applied to cohorts of children with and without a family history of T1D.
Main Results:
- 85% of children who developed T1D met the defined autoantibody criteria.
- Prevalence of these criteria was 3.8% in relatives and 0.38% in non-relatives.
- The model demonstrated 79% sensitivity in predicting T1D development within 5 years for both groups.
- Predicted 10-year incidence rates were 2.15% for relatives and 0.215% for non-relatives.
Conclusions:
- The autoantibody-based model effectively predicts Type 1 diabetes risk in children.
- The predictive accuracy (sensitivity and specificity) of this model is consistent regardless of family history.
- This highlights the utility of autoantibody screening for early T1D detection in pediatric populations.
Abstract:
The majority of children who develop Type 1 diabetes under the age of 10-years-old show islet cell antibodies at levels of 40 or more units. Those who have lower levels (10- < 40) usually have co-existent insulin autoantibodies. Of these children 85% have these criteria. When these criteria were applied to large groups of similarly aged children who were either first degree relatives of a type 1 diabetic or had no such family history, 3.8% and 0.38% respectively showed these criteria. The observed sensitivity of these characteristics in identifying children who develop diabetes in the subsequent 5 years is 79% for both groups. The calculated expected incidence of disease in the subsequent 10 years for these two groups is 2.15% and 0.215% respectively. This model of autoantibody prediction of diabetes in children thus applies equally well in terms of sensitivity and specificity to those with and without a family history of diabetes.