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June 7, 2026Diabetes

2983-LB: Trajectories of Risk Factors among Participants with Long-Duration Type 1 Diabetes

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Why the study?

Are specific trajectories of glycemic and non-glycemic risk factors associated with cardiovascular disease and mortality in patients with long-duration type 1 diabetes?

Population

1,441 participants with long-duration type 1 diabetes (baseline age 28 years) from the DCCT/EDIC study

Design

Cohort

Follow-up

over decades

Authors

BBBARB BRAFFETTTCTINA COSTACOULGLaure K. El ghormli

Discussion

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Overview

In patients with long-duration type 1 diabetes, stable trajectories and slower worsening of risk factors (HbA1c, eGFR, AER, BMI, triglycerides) are associated with lower cardiovascular disease and mortality risk.

Structured PICO

Are specific trajectories of glycemic and non-glycemic risk factors associated with cardiovascular disease and mortality in patients with long-duration type 1 diabetes?

P
Population
1,441 participants with long-duration type 1 diabetes (baseline age 28 years) from the DCCT/EDIC study
O
Outcome
Cardiovascular disease (CVD) and mortalityhard clinical

In patients with long-duration type 1 diabetes, stable trajectories and slower worsening of risk factors (HbA1c, eGFR, AER, BMI, triglycerides) are associated with lower cardiovascular disease and mortality risk.

Cite This Study

BRAFFETT et al. (2026) studied this question.

synapsesocial.com/papers/6a250d2a7def13d035e1d37chttps://doi.org/10.2337/db26-2983-lb
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Also Consider

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

  1. 12173-P: Twenty-Year Glycemia Trajectories and Risk for Cognitive Impairment (CI) in Adults with Prediabetes or Type 2 Diabetes (T2D) in the Diabetes Prevention Program Outcomes Study (DPPOS)2026
  2. 22965-LB: Cardiovascular Disease Risk Prediction in Type 1 Diabetes over 30 Years2026
  3. 31136-OR: Longitudinal Time-to-Event Modeling and Identification of Risk Factors for the Occurrence of Microvascular Complications in Youth-Onset Type 2 Diabetes2026
  4. 42223-P: Harnessing Machine Learning to Forecast Two-Year Progression to Stage 3 Type 1 Diabetes (T1D) in Individuals with Multiple Type 1 Diabetes Autoantibodies: A Noise-Resistant, Multidimensional Clustering Approach2026
  5. 52401-P: Genetic Regulation of Molecular Traits Enhances Precision Risk Stratification in Youth-Onset Type 2 Diabetes2026