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Clinical outcomes in pediatric patients with type 1 diabetes with early versus late diagnosis: analysis from the DPV registry

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posted on 2024-08-26, 16:58 authored by Johanna Hammersen, Sascha R Tittel, Clemens Kamrath, Katharina Warncke, Angela Galler, Ulrike Menzel, Melanie Hess, Thomas Meißner, Beate Karges, Reinhard W. Holl

Objective This study aims at evaluating the effects of early clinical diagnosis of type 1 diabetes by comparison of clinical parameters at diagnosis and during follow-up in pediatric type 1 diabetes patients with early, intermediate and late diagnosis. Research design and methods In a population-based analysis, data of 14,292 pediatric patients with type 1 diabetes diagnosed between 2015 and 2019 were retrieved from the DPV registry in March 2023. Patients were divided into four groups, one with diabetic ketoacidosis (DKA) at diagnosis, and three with early, intermediate or late diagnosis based on age-dependent HbA1c terciles. Laboratory-measured HbA1c values and those estimated from CGM were aggregated as combined glucose indicator (CGI). Insulin-dose adjusted CGI values <9% were defined as partial remission. Results At diagnosis, patients had a median age of 9.8 years [IQR: 6.8 - 13.0]. Three years later, patients with early diagnosis had lower CGI than patients with late diagnosis or DKA (7.46% [7.40; 7.53] (mean [95% confidence interval]) vs. 7.81% [7.75; 7.87] or 7.74% [7.68; 7.79], respectively; each p<0.001). More patients experienced partial remission (12.6% [11.0; 14.4] vs. 9.1% [7.7; 10.7] or 8.6% [7.3; 10.0]; each p<0.001). 11.7% [10.2; 13.5] of patients with intermediate diagnosis were in partial remission. Conclusions Early clinical diagnosis of type 1 diabetes may be beneficial for metabolic control and remission after three years of follow-up. Patients diagnosed early may represent a distinct group with better resources or with a different disease biology and slower beta cell destruction, which needs further evaluation.

Funding

DPV initiative is funded by the German Center for Diabetes Research (DZD, grant number 82DZD14E03), the German Robert-Koch-Institute, and the German Diabetes Association. In addition, this manuscript is part of the Stratification of Obesity Phenotypes to Optimize Future Obesity Therapy (SOPHIA) project (www. imisophia.eu). SOPHIA has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 875534. This Joint Undertaking support from the European Union’s Horizon 2020 research and innovation program and EFPIA and T1D Exchange, JDRF, and Obesity Action Coalition. The communication reflects the author's view and neither the IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained therein.

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