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September 10, 2025BMJ Open Diabetes Research & CareOpen Access

Latent class growth mixture modeling of HbA1C trajectories identifies individuals at high risk of developing complications of type 2 diabetes mellitus in the UK Biobank

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Authors

DHDale HandleyAGAlexandra C. GillettRBRenu Bala

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Overview

Latent class growth mixture modeling reveals associations between HbA1c trajectories and health outcomes in T2D patients, suggesting early identification could enhance care.

Key Points

  • Individuals with higher and variable HbA1c trajectories have an increased risk of T2D complications, highlighting the need for monitoring.
  • Among the identified classes, 76.8% maintained low and stable HbA1c levels, while others were linked to higher healthcare usage before T2D diagnosis.
  • Factors like younger age at diagnosis and higher glucose levels were associated with increased risk levels in the variable trajectory classes.
  • The findings underscore the importance of early identification of at-risk patients to improve management outcomes in T2D.

Cite This Study

Handley et al. (2025) studied this question.

synapsesocial.com/papers/68c23cf6b210217d6478be4ahttps://doi.org/10.1136/bmjdrc-2024-004826
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 12087-P: Predictive Modeling of HbA1c Progression for Use in Synthetic Controls in Youth-Onset Type 2 Diabetes2026
  2. 22983-LB: Trajectories of Risk Factors among Participants with Long-Duration Type 1 Diabetes2026
  3. 3Adherence patterns to cardiovascular medications in people with type 2 diabetes mellitus: a retrospective cohort study using group-based trajectory analysis in primary care2025 · 3 citations
  4. 4Longitudinal Metabolic Trajectories in Diabetes Prevention Program Participants Reveal Subgroups With Varying Micro- and Macrovascular Complication Risks2025 · 9 citations
  5. 5Longitudinal metabolic trajectories in Diabetes Prevention Program participants reveal subgroups with varying micro and macrovascular complication risks2025