# Optical Coherence Tomography Angiography in Type 1 Diabetes Mellitus. Report 5: Cardiovascular Risk

**Authors:** Josep Rosinés-Fonoll, Ruben Martin-Pinardel, Sonia Marias-Perez, Xavier Suarez-Valero, Silvia Feu-Basilio, Sara Marín-Martinez, Carolina Bernal-Morales, Rafael Castro-Dominguez, Andrea Mendez-Mourelle, Cristian Oliva, Irene Vila, Teresa Hernández, Irene Vinagre, Manel Mateu-Salat, Emilio Ortega, Marga Gimenez, Javier Zarranz-Ventura

PMC · DOI: 10.3390/biomedicines14010153 · Biomedicines · 2026-01-11

## TL;DR

This study shows that retinal imaging with OCTA can help identify type 1 diabetes patients at higher risk for cardiovascular issues.

## Contribution

The study introduces OCTA as a non-invasive tool for assessing cardiovascular risk in type 1 diabetes patients.

## Key findings

- Higher cardiovascular risk in T1D patients correlates with reduced retinal vessel and perfusion density.
- Central macular thickness is positively linked to 5-year cardiovascular risk.
- OCTA metrics can serve as potential biomarkers for cardiovascular risk assessment in T1D.

## Abstract

Objectives: This study aimed to investigate the association between optical coherence tomography angiography (OCTA) parameters and cardiovascular (CV) risk scores in individuals with type 1 diabetes (T1D). Methods: A cross-sectional analysis of a large-scale prospective OCTA trial cohort (ClinicalTrials.gov NCT03422965) was performed. Demographic, systemic, and ocular data—including OCTA imaging—were collected. T1D participants were stratified into three CV risk categories: moderate (MR), high (HR), and very high risk (VHR). Individualized predictions for fatal and non-fatal CV events at 5 and 10 years were calculated using the STENO T1 Risk Engine calculator. Results: A total of 501 individuals (1 eye/patient; 397 T1D, 104 controls) were included. Subjects with MR (n = 37), HR (n = 152) and VHR (n = 208) exhibited significantly reduced vessel density (VD) (20.9 ± 1.3 vs. 20.2 ± 1.6 vs. 19.3 ± 1.8 mm−1, p < 0.05), perfusion density (PD) (0.37 ± 0.02 vs. 0.36 ± 0.02 vs. 0.35 ± 0.02%, p < 0.05) and foveal avascular zone circularity (0.69 ± 0.06 vs. 0.65 ± 0.07 vs. 0.63 ± 0.09, p < 0.05). Statistically significant negative correlations were observed between CV risk and OCTA parameters including VD, PD, and retinal nerve fiber layer thickness, while central macular thickness (CMT) showed a positive correlation (p < 0.05). Notably, CMT was significantly associated with 5-year CV risk. Conclusions: OCTA-derived metrics, particularly reduced retinal VD and PD, are associated with elevated CV risk scores in T1D patients. These findings suggest that OCTA may serve as a valuable non-invasive tool for identifying individuals with increased CV risk scores.

## Linked entities

- **Diseases:** type 1 diabetes (MONDO:0005147)

## Full-text entities

- **Diseases:** T1D (MESH:D003922)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12838605/full.md

## References

35 references — full list in the complete paper: https://tomesphere.com/paper/PMC12838605/full.md

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Source: https://tomesphere.com/paper/PMC12838605