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Retinal thickness and vascular parameters using optical coherence tomography in Alzheimer’s disease: a meta-analysis

Examining the retinal tissue has the potential to provide a unique method and technique to quantify Alzheimer’s disease-related changes in participants at various stages of the disease. In this meta-analysis, we aimed to investigate the association of various optical coherence tomography parameters...

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Autores principales: Sheriff, Samran, Shen, Ting, Abdal, Sandra, Saks, Danit, Mirzaei, Mehdi, Gupta, Veer, Chitranshi, Nitin, You, Yuyi, Schultz, Angela, Graham, Stuart L., Gupta, Vivek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360097/
https://www.ncbi.nlm.nih.gov/pubmed/37282483
http://dx.doi.org/10.4103/1673-5374.371380
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author Sheriff, Samran
Shen, Ting
Abdal, Sandra
Saks, Danit
Mirzaei, Mehdi
Gupta, Veer
Chitranshi, Nitin
You, Yuyi
Schultz, Angela
Graham, Stuart L.
Gupta, Vivek
author_facet Sheriff, Samran
Shen, Ting
Abdal, Sandra
Saks, Danit
Mirzaei, Mehdi
Gupta, Veer
Chitranshi, Nitin
You, Yuyi
Schultz, Angela
Graham, Stuart L.
Gupta, Vivek
author_sort Sheriff, Samran
collection PubMed
description Examining the retinal tissue has the potential to provide a unique method and technique to quantify Alzheimer’s disease-related changes in participants at various stages of the disease. In this meta-analysis, we aimed to investigate the association of various optical coherence tomography parameters with Alzheimer’s disease and whether retinal measurements can be used to differentiate between Alzheimer’s disease and control subjects. Scientific databases including Google Scholar, Web of Science, and PubMed were systematically searched for published articles that evaluated retinal nerve fiber layer thickness and retinal microvascular network in Alzheimer’s disease and control subjects. Seventy-three studies (5850 participants, including 2249 Alzheimer’s disease patients and 3601 controls) were included in this meta-analysis. Relative to controls, Alzheimer’s disease patients had a significantly lower global retinal nerve fiber layer thickness (standardized mean difference [SMD] = –0.79, 95% confidence intervals [CI]: –1.03 to –0.54, P < 0.00001) as well as each quadrant being thinner in Alzheimer’s disease versus controls. Regarding macular parameters, values measured by optical coherence tomography were significantly lower in Alzheimer’s disease than controls for macular thickness (pooled SMD: –0.44, 95% CI: –0.67 to –0.20, P = 0.0003), foveal thickness (pooled SMD = –0.39, 95% CI: –0.58 to –0.19, P < 0.0001), ganglion cell inner plexiform layer (SMD = –1.26, 95% CI: –2.24 to –0.27, P = 0.01) and macular volume (pooled SMD = –0.41, 95% CI –0.76 to –0.07, P = 0.02). Analysis using optical coherence tomography angiography parameters revealed mixed results between Alzheimer’s disease and controls. Superficial vessel density (pooled SMD = –0.42, 95% CI: –0.68 to –0.17, P = 0.0001) and deep vessel density (pooled SMD = –0.46, 95% CI: –0.75 to –0.18, P = 0.001) were found to be thinner in Alzheimer’s disease patients whereas the foveal avascular zone (SMD = 0.84, 95% CI: 0.17–1.51, P = 0.01) was larger in controls. Vascular density and thickness of various retinal layers were decreased in Alzheimer’s disease patients compared to controls. Our results provide evidence for optical coherence tomography technology having the potential to detect retinal and microvascular changes in patients diagnosed with Alzheimer’s disease and aid in monitoring and early diagnosis methods.
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spelling pubmed-103600972023-07-22 Retinal thickness and vascular parameters using optical coherence tomography in Alzheimer’s disease: a meta-analysis Sheriff, Samran Shen, Ting Abdal, Sandra Saks, Danit Mirzaei, Mehdi Gupta, Veer Chitranshi, Nitin You, Yuyi Schultz, Angela Graham, Stuart L. Gupta, Vivek Neural Regen Res Research Article Examining the retinal tissue has the potential to provide a unique method and technique to quantify Alzheimer’s disease-related changes in participants at various stages of the disease. In this meta-analysis, we aimed to investigate the association of various optical coherence tomography parameters with Alzheimer’s disease and whether retinal measurements can be used to differentiate between Alzheimer’s disease and control subjects. Scientific databases including Google Scholar, Web of Science, and PubMed were systematically searched for published articles that evaluated retinal nerve fiber layer thickness and retinal microvascular network in Alzheimer’s disease and control subjects. Seventy-three studies (5850 participants, including 2249 Alzheimer’s disease patients and 3601 controls) were included in this meta-analysis. Relative to controls, Alzheimer’s disease patients had a significantly lower global retinal nerve fiber layer thickness (standardized mean difference [SMD] = –0.79, 95% confidence intervals [CI]: –1.03 to –0.54, P < 0.00001) as well as each quadrant being thinner in Alzheimer’s disease versus controls. Regarding macular parameters, values measured by optical coherence tomography were significantly lower in Alzheimer’s disease than controls for macular thickness (pooled SMD: –0.44, 95% CI: –0.67 to –0.20, P = 0.0003), foveal thickness (pooled SMD = –0.39, 95% CI: –0.58 to –0.19, P < 0.0001), ganglion cell inner plexiform layer (SMD = –1.26, 95% CI: –2.24 to –0.27, P = 0.01) and macular volume (pooled SMD = –0.41, 95% CI –0.76 to –0.07, P = 0.02). Analysis using optical coherence tomography angiography parameters revealed mixed results between Alzheimer’s disease and controls. Superficial vessel density (pooled SMD = –0.42, 95% CI: –0.68 to –0.17, P = 0.0001) and deep vessel density (pooled SMD = –0.46, 95% CI: –0.75 to –0.18, P = 0.001) were found to be thinner in Alzheimer’s disease patients whereas the foveal avascular zone (SMD = 0.84, 95% CI: 0.17–1.51, P = 0.01) was larger in controls. Vascular density and thickness of various retinal layers were decreased in Alzheimer’s disease patients compared to controls. Our results provide evidence for optical coherence tomography technology having the potential to detect retinal and microvascular changes in patients diagnosed with Alzheimer’s disease and aid in monitoring and early diagnosis methods. Wolters Kluwer - Medknow 2023-03-15 /pmc/articles/PMC10360097/ /pubmed/37282483 http://dx.doi.org/10.4103/1673-5374.371380 Text en Copyright: © Neural Regeneration Research https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Research Article
Sheriff, Samran
Shen, Ting
Abdal, Sandra
Saks, Danit
Mirzaei, Mehdi
Gupta, Veer
Chitranshi, Nitin
You, Yuyi
Schultz, Angela
Graham, Stuart L.
Gupta, Vivek
Retinal thickness and vascular parameters using optical coherence tomography in Alzheimer’s disease: a meta-analysis
title Retinal thickness and vascular parameters using optical coherence tomography in Alzheimer’s disease: a meta-analysis
title_full Retinal thickness and vascular parameters using optical coherence tomography in Alzheimer’s disease: a meta-analysis
title_fullStr Retinal thickness and vascular parameters using optical coherence tomography in Alzheimer’s disease: a meta-analysis
title_full_unstemmed Retinal thickness and vascular parameters using optical coherence tomography in Alzheimer’s disease: a meta-analysis
title_short Retinal thickness and vascular parameters using optical coherence tomography in Alzheimer’s disease: a meta-analysis
title_sort retinal thickness and vascular parameters using optical coherence tomography in alzheimer’s disease: a meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360097/
https://www.ncbi.nlm.nih.gov/pubmed/37282483
http://dx.doi.org/10.4103/1673-5374.371380
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