Sims, Emily K., Russell, William E., Cuthbertson, David, Skyler, Jay S., Jacobsen, Laura M., Ismail, Heba M., Redondo, Maria J., Nathan, Brandon M., Carr, Alice L.J., Taylor, Peter N. ![]() ![]() ![]() |
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Abstract
We evaluated whether a binary metabolic end point for change (Δ) from baseline to 1-year postrandomization could be useful in type 1 diabetes (T1D) prevention trials. Using 2-h oral glucose tolerance testing data from the stage 1 participants in the recent abatacept prevention trial and similar participants in the observational TrialNet Pathway to Prevention (PTP) study, we assessed Δmetabolic measures, plotted glucose and C-peptide response curves, and categorized vectors for Δ from baseline to 1 year as metabolic treatment failure versus success. Analyses were validated using the teplizumab prevention study. PTP participants with Δglucose >0 and ΔC-peptide <0 from baseline to 1 year were at substantially higher risk for stage 3 T1D than those with Δglucose <0 and ΔC-peptide >0 (P < 0.0001). Based on this, we compared placebo versus treatment groups in both trials for failure (Δglucose >0 with ΔC-peptide <0) versus success (Δglucose <0 with ΔC-peptide >0) after 1 year. Using this endpoint, a favorable metabolic impact of abatacept was found after 12 months of treatment. An analytic approach using a binary metabolic end point of failure versus success at a fixed time interval appears to detect treatment effects at least as well as standard primary end points with shorter follow-up.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Schools > Medicine |
Publisher: | American Diabetes Association |
ISSN: | 0012-1797 |
Date of First Compliant Deposit: | 16 September 2025 |
Date of Acceptance: | 29 July 2025 |
Last Modified: | 16 Sep 2025 11:30 |
URI: | https://orca.cardiff.ac.uk/id/eprint/180980 |
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