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Introduction 10%, 10-30%, and ≥30% probability by year 2. Results: CGM model found % time 140 mg/dL (TA140), area under the curve 140 mg/dL (AUC140), glucose SD, sex, first degree relative, IA2A, and GADA status were more predictive of T1D progression compared to the baseline-only model (C-statistic: 0.76 vs. 0.62). The probability of developing T1D by 2 years was 4%, 17%, and 51% in the low, medium, and high risk groups (Figure). Compared to low risk participants, high risk participants had higher TA140 (median: 10% vs 2%), AUC140 (mean: 2.9 vs. 1.1 mg/dL), and glucose SD (mean: 24 vs. 18 mg/dL). Conclusion: CGM metrics can help predict T1D progression and classify participant’s risk of impending T1D diagnosis. CGM can be used to better monitor the risk of T1D progression and define eligibility for potential prevention trials. Disclosure P. Calhoun: None. C. Spanbauer: None. A. Steck: None. B.I. Frohnert: None. M.A. Herman: Research Support; Eli Lilly and Company. B. Keymeulen: None. R. Veijola: Advisory Panel; Sanofi. J. Toppari: None. A. Desouter: None. F.K. Gorus: None. M.A. Atkinson: None. D.M. Wilson: Advisory Panel; Enable Biosciences, Inc. S. Pietropaolo: None. R. Beck: Consultant; Insulet Corporation. Research Support; Insulet Corporation. Consultant; Tandem Diabetes Care, Inc. Research Support; Tandem Diabetes Care, Inc. Consultant; Beta Bionics, Inc. Research Support; Beta Bionics, Inc., Dexcom, Inc., Bigfoot Biomedical, Inc. Consultant; Novo Nordisk. Research Support; Novo Nordisk, Eli Lilly and Company. Consultant; embecta, Vertex Pharmaceuticals Incorporated, Hagar, Ypsomed AG, Sanofi, Zucara Therapeutics, Sequel. Funding JDRF
CALHOUN et al. (2024) studied this question.