ISSN 1662-4009 (online)

ey0015.10-14 | Comorbidities – short and long-term complications | ESPEYB15

10.14 Diabetic ketoacidosis at diagnosis of T1DM predicts poor long-term glycemic control

LM Duca , B Wang , M Rewers , A Rewers

To read the full abstract: Diabetes Care. 2017;40:1249-1255Children and adolescents who present in ketoacidosis at manifestation of the disease might represent a subgroup of patients that may have less resilience factors in their families, less adherence to medical advice, might be less attentive to medical symptoms and might be less knowledgeable of medical issues. In addition, they may carry biolog...

ey0020.8-4 | Important for Clinical Practice | ESPEYB20

8.4. Two-age islet-autoantibody screening for childhood type 1 diabetes: a prospective cohort study

M Ghalwash , JL Dunne , M Lundgren , M Rewers , AG Ziegler , V Anand , J Toppari , R Veijola , W Hagopian , Type 1 Diabetes Intelligence Study Group

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...

ey0019.10-2 | Reviews | ESPEYB19

10.2. Screening for type 1 diabetes in the general population: a status report and perspective

EK Sims , REJ Besser , C Dayan , Rasmussen C Geno , C Greenbaum , KJ Griffin , W Hagopian , M Knip , AE Long , F Martin , C Mathieu , M Rewers , AK Steck , JM Wentworth , SS Rich , O Kordonouri , AG Ziegler , KC Herold

NIDDK Type 1 Diabetes TrialNet Study Group.Diabetes. 2022 Apr 1;71(4):610-623. https://pubmed.ncbi.nlm.nih.gov/35316839/Brief Summary: This is a comprehensive review on general population screening, a current hot topic in the field of type 1 diabetes (T1D). The authors provide a critical overview of the rationale for population screening, arguments for and against it, current efforts to gui...

ey0018.10-12 | (1) | ESPEYB18

10.12. Cognitive function following diabetic ketoacidosis in children with new-onset or previously diagnosed type 1 diabetes

S Ghetti , N Kuppermann , A Rewers , SR Myers , JE Schunk , MJ Stoner , A Garro , KS Quayle , KM Brown , JL Trainor , L Tzimenatos , AD De Piero , JK McManemy , LE Nigrovic , MY Kwok , CS 3rd Perry , CS Olsen , TC Casper , NS; Pediatric emergency care applied research network (PECARN) DKA FLUID study group Glaser

Diabetes Care. 2020;43(11):2768–2775. doi: 10.2337/dc20-0187.In this observational analysis of a patient cohort, a single diabetic ketoacidosis (DKA) episode was associated with lower cognition and memory both in children with newly diagnosed T1D and in children with known T1D.Children (N=758) were 6-18 years old, taking part in a multisite randomized trial e...

ey0017.10-4 | (1) | ESPEYB17

10.4. Association of gluten intake during the first 5 years of life with incidence of celiac disease autoimmunity and celiac disease among children at increased risk

CA Aronsson , H-S Lee , EM Hardaf Segerstad , U Uusitalo , J Yang , S Koletzko , E Liu , K Kurppa , PJ Bingley , J Toppari , AG Ziegler , J-X She , WA Hagopian , M Rewers , B Akolkar , JP Krischer , SM Virtanen , JM Norris , D Agardh , for the TEDDY Study Group

To read the full abstract: JAMA. 2019;322(6):514–523. doi: 10.1001/jama.2019.10329Some children have a high genetic risk to develop type 1 diabetes (T1DM) and/or celiac disease. However, environmental factors may modify such risks. One arm of the TEDDY study assessed the influence of high gluten intakes on the development of celiac disease in genetically high risk children.<p clas...

ey0016.10-6 | (1) | ESPEYB16

10.6. Clinical trial of fluid infusion rates for pediatric diabetic ketoacidosis

N Kuppermann , S Ghetti , JE Schunk , MJ Stoner , A Rewers , JK McManemy , SR Myers , LE Nigrovic , A Garro , KM Brown , KS Quayle , JL Trainor , L Tzimenatos , JE Bennett , AD DePiero , MY Kwok , CS 3rd Perry , CS Olsen , TC Casper , JM Dean , NS Glaser , DKA FLUID Study Group PECARN

To read the full abstract: N Engl J Med. 2018 Jun 14;378(24):2275–2287Neurological complications of diabetic ketoacidosis (DKA) are still causes of significant mortality and morbidity in type 1 diabetes (T1D). Children are still being reported with acute cerebral infarction (CI) and extra pontine myelinolysis (EPM) at onset of T1D (1). Frequently, their clinical management had not b...

ey0020.8-5 | Important for Clinical Practice | ESPEYB20

8.5. Impact of the COVID-19 pandemic on long-term trends in the prevalence of diabetic ketoacidosis at diagnosis of paediatric type 1 diabetes: an international multicentre study based on data from 13 national diabetes registries

NH Birkebaek , C Kamrath , JM Grimsmann , K Aakesson , V Cherubini , K Dovc , C de Beaufort , GT Alonso , JW Gregory , M White , T Skrivarhaug , Z Sumnik , C Jefferies , T Hortenhuber , A Haynes , M De Bock , J Svensson , JT Warner , O Gani , R Gesuita , R Schiaffini , R Hanas , A Rewers , AJ Eckert , RW Holl , O Cinek

Brief summary: This international multicentre study collected data from 104 290 children and adolescents (6 months-18 years-old), to compare prevalence of diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes (T1D) before and during the COVID-19 pandemic. Prevalence of DKA at T1D diagnosis increased from 27.3% pre-pandemic to 39.4% during the pandemic, and the increased trends were associated with the pandemic containment measures.DKA is a life-thr...

ey0019.10-16 | Genetics | ESPEYB19

10.16. Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes

CC Robertson , JRJ Inshaw , S Onengut-Gumuscu , WM Chen , Cruz DF Santa , H Yang , AJ Cutler , DJM Crouch , E Farber , SL Jr Bridges , JC Edberg , RP Kimberly , JH Buckner , P Deloukas , J Divers , D Dabelea , JM Lawrence , S Marcovina , AS Shah , CJ Greenbaum , MA Atkinson , PK Gregersen , JR Oksenberg , F Pociot , MJ Rewers , AK Steck , DB; Type 1 Diabetes Genetics Consortium Dunger , LS Wicker , P Concannon , JA Todd , SS Rich

Nat Genet. 2021 Jul;53(7):962-971. https://pubmed.ncbi.nlm.nih.gov/34127860/Brief Summary: The authors report the largest and most diverse genome-wide association study (GWAS) of type 1 diabetes (T1D) to date, including 61,427 participants from different ancestries. It identified 78 significant genomic regions associated with T1D, of which 36 were new. The integration of genetic evidence, f...