ESPE Yearbook of Paediatric Endocrinology

T1DI Study Group. Nat Commun. 2022 Mar 21;13(1):1514. https://pubmed.ncbi.nlm.nih.gov/35314671/Brief Summary: This study of 5 birth cohorts of individuals at high risk for type 1 diabetes (T1D) used machine learning methods to explore trajectories from autoantibodies appearance to T1D progression. They identified 11 distinct latent health states and individuals progressed according to one o...

Brief summary: In this study, 10 145 children of 1–8 years of age, selected from a prospective systematic cohort study and stratified according to HLA-risk categories for type-1-diabetes (T1D), underwent a combined evaluation of pancreatic autoimmunity, glucose metabolism and anthropometry at different timeframes. Diagnosis of T1D occurred in 131/10,145 children (1.3%). Faster height growth, both before and after age 3 years, was significantly associated with the appearan...

Brief summary: Using data from the Type 1 Diabetes Intelligence (T1DI) cohort (n=24 662), this prospective study aimed to identify optimal ages for initial islet autoantibody (IAb) screening to predict the development of clinical type 1 diabetes (T1D). The identified optimal screening ages were 2 years and 6 years, with sensitivity of 82% and positive predictive value of 79% for T1D by age 15 years.Screening for T1D is a growing research topic a...