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Diabetes Study of Children of Diverse Ethnicity and Race: Study design.
Redondo, Maria J; Harrall, Kylie K; Glueck, Deborah H; Tosur, Mustafa; Uysal, Serife; Muir, Andrew; Atkinson, Elizabeth G; Shapiro, Melanie R; Yu, Liping; Winter, William E; Weedon, Michael; Brusko, Todd M; Oram, Richard; Vehik, Kendra; Hagopian, William; Atkinson, Mark A; Dabelea, Dana.
Afiliação
  • Redondo MJ; Diabetes and Endocrinology Division, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas, USA.
  • Harrall KK; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
  • Glueck DH; Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA.
  • Tosur M; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
  • Uysal S; Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA.
  • Muir A; Diabetes and Endocrinology Division, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas, USA.
  • Atkinson EG; Children's Nutrition Research Center, USDA/ARS, Houston, Texas, USA.
  • Shapiro MR; Diabetes and Endocrinology Division, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas, USA.
  • Yu L; Department of Pediatrics, Emory University, Atlanta, Georgia, USA.
  • Winter WE; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
  • Weedon M; Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, Diabetes Institute, University of Florida, Gainesville, Florida, USA.
  • Brusko TM; Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA.
  • Oram R; Departments of Pathology and Pediatrics, University of Florida, Gainesville, Florida, USA.
  • Vehik K; Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
  • Hagopian W; Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, Diabetes Institute, University of Florida, Gainesville, Florida, USA.
  • Atkinson MA; Department of Pediatrics, College of Medicine, Diabetes Institute, University of Florida, Gainesville, Florida, USA.
  • Dabelea D; Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
Diabetes Metab Res Rev ; 40(3): e3744, 2024 Mar.
Article em En | MEDLINE | ID: mdl-37888801
ABSTRACT

AIMS:

Determining 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

METHODS:

The 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.

RESULTS:

The 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.

CONCLUSIONS:

Accurate and timely classification of diabetes type will help establish the correct clinical management early in the course of the disease.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 / Diabetes Mellitus Tipo 2 Limite: Adolescent / Adult / Child / Humans Idioma: En Revista: Diabetes Metab Res Rev Assunto da revista: ENDOCRINOLOGIA / METABOLISMO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 / Diabetes Mellitus Tipo 2 Limite: Adolescent / Adult / Child / Humans Idioma: En Revista: Diabetes Metab Res Rev Assunto da revista: ENDOCRINOLOGIA / METABOLISMO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos