Cardiovascular risk equations in type 1 diabetes: from generic models to personalized prediction
Generic cardiovascular risk algorithms are inadequate for the T1D population. While specific equations represent a significant advancement toward accurate stratification, mathematical models alone may be insufficient. Moving toward precision medicine requires a combined approach that integrates validated T1D-specific risk calculators with subclinical atherosclerosis screening (e.g. carotid ultrasound, CAC scoring) and novel biomarkers. This synergistic strategy is essential to refine classification in the 'moderate risk' category and guide individualised cardioprotective interventions.
Authors
- Verónica Perea (ORCID: https://orcid.org/0000-0001-8104-7326)
- Clara Viñals (ORCID: https://orcid.org/0000-0002-6888-0396)
- Antonio Jesús Amor (ORCID: https://orcid.org/0000-0001-9237-0903)
- Tonet Serés-Noriega
- Irene Aguilo-Lafarga
Institutions
- Diabetes Australia (AU)
- Instituto de Salud Carlos III (ES)
- Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (ES)
- Departament de Salut (ES)
- Mútua Terrassa (ES)
- Centro Médico ABC (MX)
- Hospital General San Jorge (ES)
- Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES)
- Universitat de Barcelona (ES)
Publication Details
- Journal
- Annals of Medicine
- Published
- 2026-03-13
- DOI
- https://doi.org/10.1080/07853890.2026.2642404
- Primary Topic
- Diabetes and associated disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00