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June 7, 2026Diabetes

1864-P: What Makes the Difference? Predicting Glycemic Trajectory following AID Initiation in Youth with Type 1 Diabetes

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Authors

JHJayde T. Hooven-DavisCLChristina M. LalamaSSSARAH A. SYER

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Overview

Randomized trial identifies predictors of glycemic patterns in youth, suggesting access to care impacts outcomes.

Key Points

  • This research aims to identify predictors of glycemic trajectories in youth after initiating automated insulin delivery (AID) systems.
  • Utilized group-based trajectory modeling on 18 months of continuous glucose monitoring (CGM) data from youth aged 6-18 with T1D
  • Applied multivariable multinomial logistic regression to assess associations between predictors and trajectories
  • Analyzed data from 713 AID users to characterize time in range (TIR) improvements.
  • Four distinct TIR trajectories were identified among the participants
  • Only 12-15% of users reached and sustained TIR >70%
  • Greater socioeconomic disadvantage, lower bolusing, and fewer appointments were linked to poorer outcomes.

Cite This Study

Hooven-Davis et al. (2026) studied this question.

synapsesocial.com/papers/6a250c957def13d035e1cd38https://doi.org/10.2337/db26-1864-p
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