Context: Understanding factors involved in the rate of C-peptide decline is needed to tailor therapies for type 1 diabetes (T1D). Objective: Evaluate factors associated with rate of C-peptide decline after a T1D diagnosis in young children. Design: Observational study. Setting: Academic centers. Participants: A total of 57 participants from the Environmental Determinants of Diabetes in the Young (TEDDY) study who were enrolled at 3 months of age and followed until T1D, and 56 age-matched children diagnosed with T1D in the community. Intervention: A mixed meal tolerance test was used to measure the area under the curve (AUC) C-peptide at 1, 3, 6, 12, and 24 months postdiagnosis. Outcome: Factors associated with rate of C-peptide decline during the first 2 years postdiagnosis were evaluated using mixed effects models, adjusting for age at diagnosis and baseline C-peptide. Results: Adjusted slopes of AUC C-peptide decline did not differ between TEDDY subjects and community controls (P = 0.21), although the former had higher C-peptide baseline levels. In univariate analyses combining both groups (n = 113), younger age, higher weight and body mass index z-scores, female sex, an increased number increased number of islet autoantibodies, and IA-2A or ZnT8A positivity at baseline were associated with a higher rate of C-peptide loss. Younger age, female sex, and higher weight z-score remained significant in multivariate analysis (all P < 0.02). At 3 months after diagnosis, higher HbA1c became an additional independent factor associated with a higher rate of C-peptide decline (P < 0.01). Conclusion: Younger age at diagnosis, female sex, higher weight z-score, and HbA1c were associated with a higher rate of C-peptide decline after T1D diagnosis in young children.
CITATION STYLE
Steck, A. K., Liu, X., Krischer, J. P., Haller, M. J., Veijola, R., Lundgren, M., … Elding Larsson, H. (2021). Factors Associated with the Decline of C-Peptide in a Cohort of Young Children Diagnosed with Type 1 Diabetes. Journal of Clinical Endocrinology and Metabolism, 106(3), E1380–E1388. https://doi.org/10.1210/clinem/dgaa715
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