Relationship between retinal neurodysfunction and cognitive impairment in type 2 diabetes: results of the RECOGNISED cross-sectional study

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Authors: Rafael Simó, Cristina Hernández, Simona Frontoni, Paolo Sbraccia, Reinier Schlingemann, Xavier Valldeperas, Stela Vujosevic, Inês Marques, José Cunha-Vaz, Jakob Grauslund, Frederik N. Pedersen, María-José Barahona
+7 more Nataša Popović, Gianpaolo Zerbini, Andreea Ciudin, Santiago Perez-Hoyos, Lieza G. Exalto, Geert Jan Biessels, Noemi Lois
Cited by: 5
References: 53

Abstract

AIMS/HYPOTHESIS: There are no robust, reliable and easy to administer tests to screen for mild cognitive impairment (MCI) in people living with diabetes. Since the retina is ontogenically brain-derived, we hypothesised that retinal biomarkers could be used, alone or in combination with other simple tests, to screen for MCI in people with diabetes. METHODS: Baseline data from participants screened for RECOGNISED, a Horizon 2020-funded European project, were analysed. Main eligibility criteria for RECOGNISED included age ≥65 years, type 2 diabetes of over 5 years standing, no previous history of stroke or neurodegenerative disease, and no overt diabetic retinopathy or only mild-to-moderate non-proliferative diabetic retinopathy. Baseline characteristics of participants, including scores from the Montreal Cognitive Assessment test (MoCA) and Self-Administered Gerocognitive Examination, the Diabetes Specific Dementia Risk Score (DSDRS) and ophthalmological endpoints gathered from standardised seven field colour fundus photography, spectral domain optical coherence tomography, microperimetry and a hand-held portable electroretinography device (RETeval), were obtained and used in the work presented here as potential screening predictors for presence of MCI. MCI and normocognition (NC) were determined based on a full neuropsychological test battery and the Clinical Dementia Rating score. A stepwise selection of variables, based on Akaike's information criterion, and logistic regression models for predicting MCI were undertaken. Area under the receiver-operating characteristic curve analyses were used to predict the probability of the presence of MCI as well as sensitivity and specificity cut-off points. RESULTS: A total of 313 people living with diabetes (128 with NC and 185 with MCI) were included. People with diabetes with MCI were older (p=0.006) and had fewer years of education (p

Fields of Study & Subjects

Retinal Diseases and Treatments Retinal Imaging and Analysis Ophthalmology and Visual Impairment Studies

Publication details

Journal / source
Diabetologia
Publisher
Springer Science and Business Media LLC
Volume
69
Issue
5
Pages
1337–1353
Publication date
29 January 2026
Language
EN