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Quantifying the utility of islet autoantibody levels in the prediction of type 1 diabetes in children




TekijätNg Kenney, Anand Vibha, Stavropoulos Harry, Veijola Riitta, Toppari Jorma, Maziarz Marlena, Lundgren Markus, Waugh Kathy, Frohnert Brigitte I, Martin Frank, Lou Olivia, Hagopian William, Achenbach Peter; T1DI Study Group

KustantajaSpringer

Julkaisuvuosi2023

JournalDiabetologia

Tietokannassa oleva lehden nimiDIABETOLOGIA

Lehden akronyymiDIABETOLOGIA

Vuosikerta66

Aloitussivu93

Lopetussivu104

Sivujen määrä12

ISSN0012-186X

eISSN1432-0428

DOIhttps://doi.org/10.1007/s00125-022-05799-y

Verkko-osoitehttps://doi.org/10.1007/s00125-022-05799-y

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/176875368


Tiivistelmä

Aims/hypothesis: The aim of this study was to explore the utility of islet autoantibody (IAb) levels for the prediction of type 1 diabetes in autoantibody-positive children.

Methods: Prospective cohort studies in Finland, Germany, Sweden and the USA followed 24,662 children at increased genetic or familial risk of developing islet autoimmunity and diabetes. For the 1403 who developed IAbs (523 of whom developed diabetes), levels of autoantibodies against insulin (IAA), glutamic acid decarboxylase (GADA) and insulinoma-associated antigen-2 (IA-2A) were harmonised for analysis. Diabetes prediction models using multivariate logistic regression with inverse probability censored weighting (IPCW) were trained using 10-fold cross-validation. Discriminative power for disease was estimated using the IPCW concordance index (C index) with 95% CI estimated via bootstrap.

Results: A baseline model with covariates for data source, sex, diabetes family history, HLA risk group and age at seroconversion with a 10-year follow-up period yielded a C index of 0.61 (95% CI 0.58, 0.63). The performance improved after adding the IAb positivity status for IAA, GADA and IA-2A at seroconversion: C index 0.72 (95% CI 0.71, 0.74). Using the IAb levels instead of positivity indicators resulted in even better performance: C index 0.76 (95% CI 0.74, 0.77). The predictive power was maintained when using the IAb levels alone: C index 0.76 (95% CI 0.75, 0.76). The prediction was better for shorter follow-up periods, with a C index of 0.82 (95% CI 0.81, 0.83) at 2 years, and remained reasonable for longer follow-up periods, with a C index of 0.76 (95% CI 0.75, 0.76) at 11 years. Inclusion of the results of a third IAb test added to the predictive power, and a suitable interval between seroconversion and the third test was approximately 1.5 years, with a C index of 0.78 (95% CI 0.77, 0.78) at 10 years follow-up.

Conclusions/interpretation: Consideration of quantitative patterns of IAb levels improved the predictive power for type 1 diabetes in IAb-positive children beyond qualitative IAb positivity status.


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Last updated on 2024-26-11 at 20:19