Diabetes Study of Children of Diverse Ethnicity and Race: Study design

Author:

Redondo Maria J.1ORCID,Harrall Kylie K.23,Glueck Deborah H.23,Tosur Mustafa14,Uysal Serife1,Muir Andrew5,Atkinson Elizabeth G.6,Shapiro Melanie R.7ORCID,Yu Liping8,Winter William E.9,Weedon Michael10,Brusko Todd M.711,Oram Richard10,Vehik Kendra12,Hagopian William13,Atkinson Mark A.711,Dabelea Dana23,

Affiliation:

1. Diabetes and Endocrinology Division Department of Pediatrics Texas Children's Hospital Baylor College of Medicine Houston Texas USA

2. Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center University of Colorado Anschutz Medical Campus Aurora Colorado USA

3. Department of Pediatrics University of Colorado School of Medicine Aurora Colorado USA

4. Children's Nutrition Research Center USDA/ARS Houston Texas USA

5. Department of Pediatrics Emory University Atlanta Georgia USA

6. Department of Molecular and Human Genetics Baylor College of Medicine Houston Texas USA

7. Department of Pathology, Immunology, and Laboratory Medicine College of Medicine Diabetes Institute University of Florida Gainesville Florida USA

8. Barbara Davis Center for Diabetes University of Colorado School of Medicine Aurora Colorado USA

9. Departments of Pathology and Pediatrics University of Florida Gainesville Florida USA

10. Institute of Biomedical and Clinical Science University of Exeter Medical School Exeter UK

11. Department of Pediatrics College of Medicine Diabetes Institute University of Florida Gainesville Florida USA

12. Health Informatics Institute Morsani College of Medicine University of South Florida Tampa Florida USA

13. Pacific Northwest Research Institute Seattle Washington USA

Abstract

AbstractAimsDetermining diabetes type in children has become increasingly difficult due to an overlap in typical characteristics between type 1 diabetes (T1D) and type 2 diabetes (T2D). The Diabetes Study in Children of Diverse Ethnicity and Race (DISCOVER) programme is a National Institutes of Health (NIH)‐supported multicenter, prospective, observational study that enrols children and adolescents with non‐secondary diabetes. The primary aim of the study was to develop improved models to differentiate between T1D and T2D in diverse youth.Materials and MethodsThe proposed models will evaluate the utility of three existing T1D genetic risk scores in combination with data on islet autoantibodies and other parameters typically available at the time of diabetes onset. Low non‐fasting serum C‐peptide (<0.6 nmol/L) between 3 and 10 years after diabetes diagnosis will be considered a biomarker for T1D as it reflects the loss of insulin secretion ability. Participating centres are enrolling youth (<19 years old) either with established diabetes (duration 3–10 years) for a cross‐sectional evaluation or with recent onset diabetes (duration 3 weeks–15 months) for the longitudinal observation with annual visits for 3 years. Cross‐sectional data will be used to develop models. Longitudinal data will be used to externally validate the best‐fitting model.ResultsThe results are expected to improve the ability to classify diabetes type in a large and growing subset of children who have an unclear form of diabetes at diagnosis.ConclusionsAccurate and timely classification of diabetes type will help establish the correct clinical management early in the course of the disease.

Funder

Juvenile Diabetes Research Foundation International

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

Wiley

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism,Internal Medicine

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