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Title:

Predicting progression to type 1 diabetes from ages 3 to 6 in islet autoantibody positive TEDDY children.

Document type:
Article; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Validation Study
Author(s):
Jacobsen, Laura M; Larsson, Helena E; Tamura, Roy N; Vehik, Kendra; Clasen, Joanna; Sosenko, Jay; Hagopian, William A; She, Jin-Xiong; Steck, Andrea K; Rewers, Marian; Simell, Olli; Toppari, Jorma; Veijola, Riitta; Ziegler, Anette G; Krischer, Jeffrey P; Akolkar, Beena; Haller, Michael J
Abstract:
OBJECTIVE: The capacity to precisely predict progression to type 1 diabetes (T1D) in young children over a short time span is an unmet need. We sought to develop a risk algorithm to predict progression in children with high-risk human leukocyte antigen (HLA) genes followed in The Environmental Determinants of Diabetes in the Young (TEDDY) study. METHODS: Logistic regression and 4-fold cross-validation examined 38 candidate predictors of risk from clinical, immunologic, metabolic, and genetic dat...     »
Journal title abbreviation:
Pediatr Diabetes
Year:
2019
Journal volume:
20
Journal issue:
3
Pages contribution:
263-270
Fulltext / DOI:
doi:10.1111/pedi.12812
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/30628751
Print-ISSN:
1399-543X
TUM Institution:
Klinik und Poliklinik für Kinderheilkunde und Jugendmedizin
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