Retinal microvascular geometry as a biomarker of cognitive function in patients living with type 1 diabetes
Authors' conclusion
Retinal parameters associated with cognitive performance by MoCA score, emerging as a promising biomarker for cognitive risk stratification in T1D.
Study context
- Population
- Adults with T1D
- Participants
- 42 adults
- Outcome
- Association of RMHAS retinal parameters with MoCA scores, beyond relevant covariates
Main finding
As reported in the abstract
MoCA score
- Median Montreal Cognitive Assessment (MoCA) score (IQR 23-27)
- 25
- Low MoCA (<26)
- 59.5%
- Clinical model (age, sex, glucose CV, mean systolic BP, Estimated Glucose Disposal rate (eGDR), triglyceride CV) correlated with MoCA
- R = 0.601, p = 0.013
- Adding retinal principal component analysis (PCA) factors improved fit
- R square change = 0.280, p = 0.006
- Low MoCA: clinical model (LF/HF ratio, age)
- R square = 0.208 (p = 0.018)
- Low MoCA: retinal factors increased fit
- R square = 0.250, p = 0.005
- Combined model accuracy for low MoCA
- AUROC 0.930, p < 0.001
Observational data: associations, not effects.
Original publication
Retinal microvascular geometry as a biomarker of cognitive function in patients living with type 1 diabetes. Diabetes Res Clin Pract. Published 24 June 2026. doi:10.
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