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Retinal Microperimetry: A Useful Tool for Detecting Insulin Resistance-Related Cognitive Impairment in Morbid Obesity
Background: There is clear association between type 2 diabetes (T2D) and cognitive decline. Retinal microperimetry is a useful tool for detecting cognitive impairment in T2D. Morbid obesity (MO) has been associated with cognitive impairment. Insulin resistance (IR) seems a major determinant, but the...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6947364/ https://www.ncbi.nlm.nih.gov/pubmed/31835729 http://dx.doi.org/10.3390/jcm8122181 |
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author | Ciudin, Andreea Ortiz-Zuñiga, Angel Michael Fidilio, Enzamaria Romero, Diana Sánchez, Marta Comas, Marta Gonzalez, Oscar Vilallonga, Ramon Simó-Servat, Olga Hernández, Cristina Simó, Rafael |
author_facet | Ciudin, Andreea Ortiz-Zuñiga, Angel Michael Fidilio, Enzamaria Romero, Diana Sánchez, Marta Comas, Marta Gonzalez, Oscar Vilallonga, Ramon Simó-Servat, Olga Hernández, Cristina Simó, Rafael |
author_sort | Ciudin, Andreea |
collection | PubMed |
description | Background: There is clear association between type 2 diabetes (T2D) and cognitive decline. Retinal microperimetry is a useful tool for detecting cognitive impairment in T2D. Morbid obesity (MO) has been associated with cognitive impairment. Insulin resistance (IR) seems a major determinant, but the data are unclear. The aim of this study was to evaluate the cognitive impairment in MO as well as the utility of retinal microperimetry in identifying these alterations. Methods: In total, 50 consecutive patients with MO were matched by age and gender with 30 healthy controls. All patients underwent cognitive evaluation (Montreal Cognitive Assessment Test-MoCA) and retinal microperimetry, using MAIA microperimeter 3rd generation. Retinal sensitivity and gaze fixation parameters were used for the evaluation of the analysis. Results: MO patients showed a significantly lower neurocognitive performance than the controls: MoCA score 24.94 ± 2.74 vs. 28.95 ± 1.05, p < 0.001. Cognitive function inversely correlated with the HOMA-IR (r = −0.402, p = 0.007). The AUROC for cognitive impairment using microperimetry was 0.807, CI 95% (0.592–0.947), p = 0.017. Conclusions: (1) Systemic insulin resistance is a major underlying mechanism accounting for the higher prevalence of cognitive impairment detected in young MO subjects. (2) Retinal microperimetry is a useful tool for identifying MO patients with cognitive impairment. |
format | Online Article Text |
id | pubmed-6947364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69473642020-01-13 Retinal Microperimetry: A Useful Tool for Detecting Insulin Resistance-Related Cognitive Impairment in Morbid Obesity Ciudin, Andreea Ortiz-Zuñiga, Angel Michael Fidilio, Enzamaria Romero, Diana Sánchez, Marta Comas, Marta Gonzalez, Oscar Vilallonga, Ramon Simó-Servat, Olga Hernández, Cristina Simó, Rafael J Clin Med Article Background: There is clear association between type 2 diabetes (T2D) and cognitive decline. Retinal microperimetry is a useful tool for detecting cognitive impairment in T2D. Morbid obesity (MO) has been associated with cognitive impairment. Insulin resistance (IR) seems a major determinant, but the data are unclear. The aim of this study was to evaluate the cognitive impairment in MO as well as the utility of retinal microperimetry in identifying these alterations. Methods: In total, 50 consecutive patients with MO were matched by age and gender with 30 healthy controls. All patients underwent cognitive evaluation (Montreal Cognitive Assessment Test-MoCA) and retinal microperimetry, using MAIA microperimeter 3rd generation. Retinal sensitivity and gaze fixation parameters were used for the evaluation of the analysis. Results: MO patients showed a significantly lower neurocognitive performance than the controls: MoCA score 24.94 ± 2.74 vs. 28.95 ± 1.05, p < 0.001. Cognitive function inversely correlated with the HOMA-IR (r = −0.402, p = 0.007). The AUROC for cognitive impairment using microperimetry was 0.807, CI 95% (0.592–0.947), p = 0.017. Conclusions: (1) Systemic insulin resistance is a major underlying mechanism accounting for the higher prevalence of cognitive impairment detected in young MO subjects. (2) Retinal microperimetry is a useful tool for identifying MO patients with cognitive impairment. MDPI 2019-12-11 /pmc/articles/PMC6947364/ /pubmed/31835729 http://dx.doi.org/10.3390/jcm8122181 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ciudin, Andreea Ortiz-Zuñiga, Angel Michael Fidilio, Enzamaria Romero, Diana Sánchez, Marta Comas, Marta Gonzalez, Oscar Vilallonga, Ramon Simó-Servat, Olga Hernández, Cristina Simó, Rafael Retinal Microperimetry: A Useful Tool for Detecting Insulin Resistance-Related Cognitive Impairment in Morbid Obesity |
title | Retinal Microperimetry: A Useful Tool for Detecting Insulin Resistance-Related Cognitive Impairment in Morbid Obesity |
title_full | Retinal Microperimetry: A Useful Tool for Detecting Insulin Resistance-Related Cognitive Impairment in Morbid Obesity |
title_fullStr | Retinal Microperimetry: A Useful Tool for Detecting Insulin Resistance-Related Cognitive Impairment in Morbid Obesity |
title_full_unstemmed | Retinal Microperimetry: A Useful Tool for Detecting Insulin Resistance-Related Cognitive Impairment in Morbid Obesity |
title_short | Retinal Microperimetry: A Useful Tool for Detecting Insulin Resistance-Related Cognitive Impairment in Morbid Obesity |
title_sort | retinal microperimetry: a useful tool for detecting insulin resistance-related cognitive impairment in morbid obesity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6947364/ https://www.ncbi.nlm.nih.gov/pubmed/31835729 http://dx.doi.org/10.3390/jcm8122181 |
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