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June 7, 2026Diabetes

2965-LB: Cardiovascular Disease Risk Prediction in Type 1 Diabetes over 30 Years

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Why the study?

Do traditional cardiovascular disease risk prediction models accurately predict 10-year CVD risk in patients with type 1 diabetes?

Population

1311 participants with type 1 diabetes followed in the Epidemiology of Diabetes Interventions and…

Comparison

Cardiovascular disease risk prediction models… vs Observed cardiovascular disease incidence

Design

Cohort

Follow-up

30 yrs

Authors

VTVictoria R. TrapaniBBBARB BRAFFETTTCTINA COSTACOU

Discussion

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Overview

Traditional cardiovascular risk prediction models significantly underestimate risk in patients with type 1 diabetes, highlighting the need for tailored risk estimation incorporating enhancers like CAC and HbA1c.

Structured PICO

Do traditional cardiovascular disease risk prediction models accurately predict 10-year CVD risk in patients with type 1 diabetes?

P
Population
1311 participants with type 1 diabetes followed in the Epidemiology of Diabetes Interventions and Complications (EDIC) study.
I
Intervention
Cardiovascular disease risk prediction models (Framingham Risk Score [FRS], ASCVD Risk Estimator Plus, AHA PREVENT, and Steno Type 1 Risk Engine [ST1RE]) and risk enhancers (coronary artery calcification [CAC] and HbA1c)
C
Comparator
Observed cardiovascular disease incidence
O
Outcome
10-year cardiovascular disease risk performance (calibration and c-statistics) at Years 1, 10, and 20 compared to observed CVD incidence during subsequent intervalshard clinical

Traditional cardiovascular risk prediction models significantly underestimate risk in patients with type 1 diabetes, highlighting the need for tailored risk estimation incorporating enhancers like CAC and HbA1c.

Cite This Study

Trapani et al. (2026) studied this question.

synapsesocial.com/papers/6a250cbc7def13d035e1cee1https://doi.org/10.2337/db26-2965-lb
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Also Consider

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

  1. 1Predicting subclinical atherosclerosis in adults with type 1 diabetes using cardiovascular risk models: a cross‑sectional study from Italy2026
  2. 22983-LB: Trajectories of Risk Factors among Participants with Long-Duration Type 1 Diabetes2026
  3. 32184-P: CGM-Derived Measures in Relation to 10-Year CVD Risk in Adults without Diabetes2026
  4. 41136-OR: Longitudinal Time-to-Event Modeling and Identification of Risk Factors for the Occurrence of Microvascular Complications in Youth-Onset Type 2 Diabetes2026
  5. 52321-P: Machine-Learning Modeling for T2DM Prediction in over 3 Million Adults2026