Literature DB >> 25524912

HbA1c Predicts Time to Diagnosis of Type 1 Diabetes in Children at Risk.

Olli Helminen1, Susanna Aspholm2, Tytti Pokka1, Milla-Riikka Hautakangas1, Nora Haatanen1, Johanna Lempainen3, Jorma Ilonen4, Olli Simell5, Mikael Knip6, Riitta Veijola7.   

Abstract

Prediction of type 1 diabetes is based on the detection of multiple islet autoantibodies in subjects who are at increased genetic risk. Prediction of the timing of diagnosis is challenging, however. We assessed the utility of HbA1c levels in predicting the clinical disease in genetically predisposed children with multiple autoantibodies. Cord blood samples from 168,055 newborn infants were screened for class II HLA genotypes in Finland, and 14,876 children with increased genetic risk for type 1 diabetes were invited to participate in regular follow-ups, including screening for diabetes-associated autoantibodies. When two or more autoantibodies were detected, HbA1c levels were analyzed at each visit. During follow-up, multiple (two or more) autoantibodies developed in 466 children; type 1 diabetes was diagnosed in 201 of these children (43%, progressors), while 265 children remained disease free (nonprogressors) by December 2011. A 10% increase in HbA1c levels in samples obtained 3-12 months apart predicted the diagnosis of clinical disease (hazard ratio [HR] 5.7 [95% CI 4.1-7.9]) after a median time of 1.1 years (interquartile range [IQR] 0.6-3.1 years) from the observed rise of HbA1c. If the HbA1c level was ≥5.9% (41 mmol/mol) in two consecutive samples, the median time to diagnosis was 0.9 years (IQR 0.3-1.5, HR 11.9 [95% CI 8.8-16.0]). In conclusion, HbA1c is a useful biochemical marker when predicting the time to diagnosis of type 1 diabetes in children with multiple autoantibodies.
© 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25524912     DOI: 10.2337/db14-0497

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  16 in total

1.  Continuous Glucose Monitoring Predicts Progression to Diabetes in Autoantibody Positive Children.

Authors:  Andrea K Steck; Fran Dong; Iman Taki; Michelle Hoffman; Kimber Simmons; Brigitte I Frohnert; Marian J Rewers
Journal:  J Clin Endocrinol Metab       Date:  2019-08-01       Impact factor: 5.958

2.  OGTT and random plasma glucose in the prediction of type 1 diabetes and time to diagnosis.

Authors:  Olli Helminen; Susanna Aspholm; Tytti Pokka; Jorma Ilonen; Olli Simell; Riitta Veijola; Mikael Knip
Journal:  Diabetologia       Date:  2015-05-19       Impact factor: 10.122

3.  Reclassification of asymptomatic beta cell autoimmunity: a critical perspective.

Authors:  Mikael Knip; Jenni Selvenius; Heli Siljander; Riitta Veijola
Journal:  Diabetologia       Date:  2016-10-27       Impact factor: 10.122

4.  Progression likelihood score identifies substages of presymptomatic type 1 diabetes in childhood public health screening.

Authors:  Andreas Weiss; Jose Zapardiel-Gonzalo; Franziska Voss; Manja Jolink; Joanna Stock; Florian Haupt; Kerstin Kick; Tiziana Welzhofer; Anja Heublein; Christiane Winkler; Peter Achenbach; Anette-Gabriele Ziegler; Ezio Bonifacio
Journal:  Diabetologia       Date:  2022-08-27       Impact factor: 10.460

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

Authors:  Laura M Jacobsen; Helena E Larsson; Roy N Tamura; Kendra Vehik; Joanna Clasen; Jay Sosenko; William A Hagopian; Jin-Xiong She; Andrea K Steck; Marian Rewers; Olli Simell; Jorma Toppari; Riitta Veijola; Anette G Ziegler; Jeffrey P Krischer; Beena Akolkar; Michael J Haller
Journal:  Pediatr Diabetes       Date:  2019-01-29       Impact factor: 3.409

Review 6.  Significance of HbA1c Test in Diagnosis and Prognosis of Diabetic Patients.

Authors:  Shariq I Sherwani; Haseeb A Khan; Aishah Ekhzaimy; Afshan Masood; Meena K Sakharkar
Journal:  Biomark Insights       Date:  2016-07-03

7.  Prediction of Impending Type 1 Diabetes through Automated Dual-Label Measurement of Proinsulin:C-Peptide Ratio.

Authors:  Annelien Van Dalem; Simke Demeester; Eric V Balti; Bart Keymeulen; Pieter Gillard; Bruno Lapauw; Christophe De Block; Pascale Abrams; Eric Weber; Ilse Vermeulen; Pieter De Pauw; Daniël Pipeleers; Ilse Weets; Frans K Gorus
Journal:  PLoS One       Date:  2016-12-01       Impact factor: 3.240

Review 8.  Staging presymptomatic type 1 diabetes: a scientific statement of JDRF, the Endocrine Society, and the American Diabetes Association.

Authors:  Richard A Insel; Jessica L Dunne; Mark A Atkinson; Jane L Chiang; Dana Dabelea; Peter A Gottlieb; Carla J Greenbaum; Kevan C Herold; Jeffrey P Krischer; Åke Lernmark; Robert E Ratner; Marian J Rewers; Desmond A Schatz; Jay S Skyler; Jay M Sosenko; Anette-G Ziegler
Journal:  Diabetes Care       Date:  2015-10       Impact factor: 19.112

9.  Increasing plasma glucose before the development of type 1 diabetes-the TRIGR study.

Authors:  Johnny Ludvigsson; David Cuthbertson; Dorothy J Becker; Olga Kordonouri; Bärbel Aschemeier; Daniele Pacaud; Cheril Clarson; Jeffrey P Krischer; Mikael Knip
Journal:  Pediatr Diabetes       Date:  2021-09-07       Impact factor: 4.866

10.  Complete blood counts with red blood cell determinants associate with reduced beta-cell function in seroconverted Swedish TEDDY children.

Authors:  Falastin Salami; Roy N Tamura; Helena Elding Larsson; Åke Lernmark; Carina Törn
Journal:  Endocrinol Diabetes Metab       Date:  2021-05-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.