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Landmark models to define the age-adjusted risk of developing stage 1 type 1 diabetes across childhood and adolescence

BACKGROUND: Autoimmune diseases are often preceded by an asymptomatic autoantibody-positive phase. In type 1 diabetes, the detection of autoantibodies to pancreatic islet antigens in genetically at-risk children is prognostic for future clinical diabetes. Testing for islet autoantibodies is, therefo...

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Autores principales: Hoffmann, Verena Sophia, Weiß, Andreas, Winkler, Christiane, Knopff, Annette, Jolink, Manja, Bonifacio, Ezio, Ziegler, Anette-G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615150/
https://www.ncbi.nlm.nih.gov/pubmed/31286933
http://dx.doi.org/10.1186/s12916-019-1360-3
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author Hoffmann, Verena Sophia
Weiß, Andreas
Winkler, Christiane
Knopff, Annette
Jolink, Manja
Bonifacio, Ezio
Ziegler, Anette-G.
author_facet Hoffmann, Verena Sophia
Weiß, Andreas
Winkler, Christiane
Knopff, Annette
Jolink, Manja
Bonifacio, Ezio
Ziegler, Anette-G.
author_sort Hoffmann, Verena Sophia
collection PubMed
description BACKGROUND: Autoimmune diseases are often preceded by an asymptomatic autoantibody-positive phase. In type 1 diabetes, the detection of autoantibodies to pancreatic islet antigens in genetically at-risk children is prognostic for future clinical diabetes. Testing for islet autoantibodies is, therefore, performed in a range of clinical studies. Accurate risk estimates that consider the a priori genetic risk and other risk modifiers are an important component of screening. The age of an individual is an under-appreciated risk modifier. The aim of this study was to provide age-adjusted risk estimates for the development of autoantibodies across childhood in genetically at-risk children. METHODS: The prospective BABYDIAB and BABYDIET studies included 2441 children from birth who had a first-degree relative with type 1 diabetes. Children were born between 1989 and 2006 and were regularly followed from birth for the development of islet autoantibodies and diabetes. A landmark analysis was performed to estimate the risk of islet autoantibodies at birth and at the age 3.5, 6.5 and 12.5 years. Exponential decay curves were fitted for the risk by the age of 20 years. RESULTS: The risk of islet autoantibodies by the age of 20 years was 8%, 4.6%, 2.6% and 0.9%, at the landmark ages of birth, 3.5, 6.5 and 12.5 years, respectively. The short-term risks (within 6 years of follow-up) at these landmark ages were 5.3%, 2.9%, 1.8% and 1%, respectively. The decline in autoantibody risk with age was modelled using a one-phase exponential decay curve (r = 0.99) with a risk half-life of 3.7 years. This risk decay model was remarkably consistent when the outcome was defined as islet autoantibody-positive or multiple islet autoantibody-positive and when the study cohort was stratified by HLA risk genotype. A similar decay model was observed for coeliac disease-associated transglutaminase antibodies in the same cohort. Unlike the risk of developing islet autoantibodies, the rate of developing clinical diabetes in children who were islet autoantibody-positive did not decline with age. CONCLUSION: The risk of developing autoantibodies drops exponentially with age in children with a first-degree relative with type 1 diabetes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-019-1360-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-66151502019-07-18 Landmark models to define the age-adjusted risk of developing stage 1 type 1 diabetes across childhood and adolescence Hoffmann, Verena Sophia Weiß, Andreas Winkler, Christiane Knopff, Annette Jolink, Manja Bonifacio, Ezio Ziegler, Anette-G. BMC Med Research Article BACKGROUND: Autoimmune diseases are often preceded by an asymptomatic autoantibody-positive phase. In type 1 diabetes, the detection of autoantibodies to pancreatic islet antigens in genetically at-risk children is prognostic for future clinical diabetes. Testing for islet autoantibodies is, therefore, performed in a range of clinical studies. Accurate risk estimates that consider the a priori genetic risk and other risk modifiers are an important component of screening. The age of an individual is an under-appreciated risk modifier. The aim of this study was to provide age-adjusted risk estimates for the development of autoantibodies across childhood in genetically at-risk children. METHODS: The prospective BABYDIAB and BABYDIET studies included 2441 children from birth who had a first-degree relative with type 1 diabetes. Children were born between 1989 and 2006 and were regularly followed from birth for the development of islet autoantibodies and diabetes. A landmark analysis was performed to estimate the risk of islet autoantibodies at birth and at the age 3.5, 6.5 and 12.5 years. Exponential decay curves were fitted for the risk by the age of 20 years. RESULTS: The risk of islet autoantibodies by the age of 20 years was 8%, 4.6%, 2.6% and 0.9%, at the landmark ages of birth, 3.5, 6.5 and 12.5 years, respectively. The short-term risks (within 6 years of follow-up) at these landmark ages were 5.3%, 2.9%, 1.8% and 1%, respectively. The decline in autoantibody risk with age was modelled using a one-phase exponential decay curve (r = 0.99) with a risk half-life of 3.7 years. This risk decay model was remarkably consistent when the outcome was defined as islet autoantibody-positive or multiple islet autoantibody-positive and when the study cohort was stratified by HLA risk genotype. A similar decay model was observed for coeliac disease-associated transglutaminase antibodies in the same cohort. Unlike the risk of developing islet autoantibodies, the rate of developing clinical diabetes in children who were islet autoantibody-positive did not decline with age. CONCLUSION: The risk of developing autoantibodies drops exponentially with age in children with a first-degree relative with type 1 diabetes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-019-1360-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-09 /pmc/articles/PMC6615150/ /pubmed/31286933 http://dx.doi.org/10.1186/s12916-019-1360-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hoffmann, Verena Sophia
Weiß, Andreas
Winkler, Christiane
Knopff, Annette
Jolink, Manja
Bonifacio, Ezio
Ziegler, Anette-G.
Landmark models to define the age-adjusted risk of developing stage 1 type 1 diabetes across childhood and adolescence
title Landmark models to define the age-adjusted risk of developing stage 1 type 1 diabetes across childhood and adolescence
title_full Landmark models to define the age-adjusted risk of developing stage 1 type 1 diabetes across childhood and adolescence
title_fullStr Landmark models to define the age-adjusted risk of developing stage 1 type 1 diabetes across childhood and adolescence
title_full_unstemmed Landmark models to define the age-adjusted risk of developing stage 1 type 1 diabetes across childhood and adolescence
title_short Landmark models to define the age-adjusted risk of developing stage 1 type 1 diabetes across childhood and adolescence
title_sort landmark models to define the age-adjusted risk of developing stage 1 type 1 diabetes across childhood and adolescence
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615150/
https://www.ncbi.nlm.nih.gov/pubmed/31286933
http://dx.doi.org/10.1186/s12916-019-1360-3
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