ArticleCardiovascular diabetology2026
Predicting subclinical atherosclerosis in adults with type 1 diabetes using cardiovascular risk models: a cross‑sectional study from Italy.
Article in Cardiovascular diabetology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06290544 (Cardiovascular Risk Assessment in a Cohort of Italian Patients With Type 1 Diabetes Mellitus - CARDT1), which is not on this map. Not yet cited in PubMed.
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Cardiovascular Risk Assessment in a Cohort of Italian Patients With Type 1 Diabetes Mellitus - CARDT1
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15 authors.
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Abstract
backgroundCardiovascular disease (CVD) is the leading cause of morbidity and mortality among individuals with type 1 diabetes (T1D); nevertheless, cardiovascular risk stratification remains an unmet need in T1D. Cardiovascular risk tools were developed to predict 10‑year clinical events. Whether they identify subclinical atherosclerosis - a potential gatekeeper for intensified prevention - remains uncertain.
methodsWe conducted a cross-sectional analysis of consecutive T1D adults without a history of CVD enrolled at a secondary centre in Italy. All participants underwent coronary computed tomography angiography (CCTA) and carotid ultrasound. The primary outcome was a composite imaging endpoint, defined as any coronary plaque on CCTA and/or maximum carotid intima-media thickness (cIMT
resultsOne hundred and one patients (52.5% males) were included in the study, with a mean age of 45 ± 13 years and a median diabetes duration of 21 years (Q1-Q3 13; 32). The composite imaging endpoint occurred in 66/101 (65.4%); 55 patients (54.5%) had coronary plaques, and 41 patients (40.6%) presented cIMT
conclusionsIn an Italian cohort of asymptomatic T1D adults, T1D-specific risk scores demonstrated a strong discrimination ability for imaging-defined subclinical atherosclerosis. They might help triage asymptomatic individuals who could benefit from targeted cardiovascular imaging in specific settings. Since these tools predict events rather than imaging findings, recalibration and prospective validation against imaging endpoints are needed before using predicted probabilities as absolute risks informing clinical decision‑making.
trial registrationClinicalTrials.gov Identifier: NCT06290544. Registered on 4 March 2024.
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