Cargando…

Detecting retinal neurodegeneration in people with diabetes: Findings from the UK Biobank

IMPORTANCE: Efforts are underway to incorporate retinal neurodegeneration in the diabetic retinopathy severity scale. However, there is no established measure to quantify diabetic retinal neurodegeneration (DRN). OBJECTIVE: We compared total retinal, macular retinal nerve fiber layer (mRNFL) and gan...

Descripción completa

Detalles Bibliográficos
Autores principales: Channa, Roomasa, Lee, Kyungmoo, Staggers, Kristen A., Mehta, Nitish, Zafar, Sidra, Gao, Jie, Frankfort, Benjamin J., Chua, Sharon Y. L., Khawaja, Anthony P., Foster, Paul J., Patel, Praveen J., Minard, Charles G., Amos, Chris, Abramoff, Michael D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480885/
https://www.ncbi.nlm.nih.gov/pubmed/34587216
http://dx.doi.org/10.1371/journal.pone.0257836
_version_ 1784576562406883328
author Channa, Roomasa
Lee, Kyungmoo
Staggers, Kristen A.
Mehta, Nitish
Zafar, Sidra
Gao, Jie
Frankfort, Benjamin J.
Chua, Sharon Y. L.
Khawaja, Anthony P.
Foster, Paul J.
Patel, Praveen J.
Minard, Charles G.
Amos, Chris
Abramoff, Michael D.
author_facet Channa, Roomasa
Lee, Kyungmoo
Staggers, Kristen A.
Mehta, Nitish
Zafar, Sidra
Gao, Jie
Frankfort, Benjamin J.
Chua, Sharon Y. L.
Khawaja, Anthony P.
Foster, Paul J.
Patel, Praveen J.
Minard, Charles G.
Amos, Chris
Abramoff, Michael D.
author_sort Channa, Roomasa
collection PubMed
description IMPORTANCE: Efforts are underway to incorporate retinal neurodegeneration in the diabetic retinopathy severity scale. However, there is no established measure to quantify diabetic retinal neurodegeneration (DRN). OBJECTIVE: We compared total retinal, macular retinal nerve fiber layer (mRNFL) and ganglion cell-inner plexiform layer (GC-IPL) thickness among participants with and without diabetes (DM) in a population-based cohort. DESIGN/SETTING/PARTICIPANTS: Cross-sectional analysis, using the UK Biobank data resource. Separate general linear mixed models (GLMM) were created using DM and glycated hemoglobin as predictor variables for retinal thickness. Sub-analyses included comparing thickness measurements for patients with no/mild diabetic retinopathy (DR) and evaluating factors associated with retinal thickness in participants with and without diabetes. Factors found to be significantly associated with DM or thickness were included in a multiple GLMM. EXPOSURE: Diagnosis of DM was determined via self-report of diagnosis, medication use, DM-related complications or glycated hemoglobin level of ≥ 6.5%. MAIN OUTCOMES AND MEASURES: Total retinal, mRNFL and GC-IPL thickness. RESULTS: 74,422 participants (69,985 with no DM; 4,437 with DM) were included. Median age was 59 years, 46% were men and 92% were white. Participants with DM had lower total retinal thickness (-4.57 μm, 95% CI: -5.00, -4.14; p<0.001), GC-IPL thickness (-1.73 μm, 95% CI: -1.86, -1.59; p<0.001) and mRNFL thickness (-0.68 μm, 95% CI: -0.81, -0.54; p<0.001) compared to those without DM. After adjusting for co-variates, in the GLMM, total retinal thickness was 1.99 um lower (95% CI: -2.47, -1.50; p<0.001) and GC-IPL was 1.02 μm lower (95% CI: -1.18, -0.87; p<0.001) among those with DM compared to without. mRNFL was no longer significantly different (p = 0.369). GC-IPL remained significantly lower, after adjusting for co-variates, among those with DM compared to those without DM when including only participants with no/mild DR (-0.80 μm, 95% CI: -0.98, -0.62; p<0.001). Total retinal thickness decreased 0.40 μm (95% CI: -0.61, -0.20; p<0.001), mRNFL thickness increased 0.20 μm (95% CI: 0.14, 0.27; p<0.001) and GC-IPL decreased 0.26 μm (95% CI: -0.33, -0.20; p<0.001) per unit increase in A1c after adjusting for co-variates. Among participants with diabetes, age, DR grade, ethnicity, body mass index, glaucoma, spherical equivalent, and visual acuity were significantly associated with GC-IPL thickness. CONCLUSION: GC-IPL was thinner among participants with DM, compared to without DM. This difference persisted after adjusting for confounding variables and when considering only those with no/mild DR. This confirms that GC-IPL thinning occurs early in DM and can serve as a useful marker of DRN.
format Online
Article
Text
id pubmed-8480885
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-84808852021-09-30 Detecting retinal neurodegeneration in people with diabetes: Findings from the UK Biobank Channa, Roomasa Lee, Kyungmoo Staggers, Kristen A. Mehta, Nitish Zafar, Sidra Gao, Jie Frankfort, Benjamin J. Chua, Sharon Y. L. Khawaja, Anthony P. Foster, Paul J. Patel, Praveen J. Minard, Charles G. Amos, Chris Abramoff, Michael D. PLoS One Research Article IMPORTANCE: Efforts are underway to incorporate retinal neurodegeneration in the diabetic retinopathy severity scale. However, there is no established measure to quantify diabetic retinal neurodegeneration (DRN). OBJECTIVE: We compared total retinal, macular retinal nerve fiber layer (mRNFL) and ganglion cell-inner plexiform layer (GC-IPL) thickness among participants with and without diabetes (DM) in a population-based cohort. DESIGN/SETTING/PARTICIPANTS: Cross-sectional analysis, using the UK Biobank data resource. Separate general linear mixed models (GLMM) were created using DM and glycated hemoglobin as predictor variables for retinal thickness. Sub-analyses included comparing thickness measurements for patients with no/mild diabetic retinopathy (DR) and evaluating factors associated with retinal thickness in participants with and without diabetes. Factors found to be significantly associated with DM or thickness were included in a multiple GLMM. EXPOSURE: Diagnosis of DM was determined via self-report of diagnosis, medication use, DM-related complications or glycated hemoglobin level of ≥ 6.5%. MAIN OUTCOMES AND MEASURES: Total retinal, mRNFL and GC-IPL thickness. RESULTS: 74,422 participants (69,985 with no DM; 4,437 with DM) were included. Median age was 59 years, 46% were men and 92% were white. Participants with DM had lower total retinal thickness (-4.57 μm, 95% CI: -5.00, -4.14; p<0.001), GC-IPL thickness (-1.73 μm, 95% CI: -1.86, -1.59; p<0.001) and mRNFL thickness (-0.68 μm, 95% CI: -0.81, -0.54; p<0.001) compared to those without DM. After adjusting for co-variates, in the GLMM, total retinal thickness was 1.99 um lower (95% CI: -2.47, -1.50; p<0.001) and GC-IPL was 1.02 μm lower (95% CI: -1.18, -0.87; p<0.001) among those with DM compared to without. mRNFL was no longer significantly different (p = 0.369). GC-IPL remained significantly lower, after adjusting for co-variates, among those with DM compared to those without DM when including only participants with no/mild DR (-0.80 μm, 95% CI: -0.98, -0.62; p<0.001). Total retinal thickness decreased 0.40 μm (95% CI: -0.61, -0.20; p<0.001), mRNFL thickness increased 0.20 μm (95% CI: 0.14, 0.27; p<0.001) and GC-IPL decreased 0.26 μm (95% CI: -0.33, -0.20; p<0.001) per unit increase in A1c after adjusting for co-variates. Among participants with diabetes, age, DR grade, ethnicity, body mass index, glaucoma, spherical equivalent, and visual acuity were significantly associated with GC-IPL thickness. CONCLUSION: GC-IPL was thinner among participants with DM, compared to without DM. This difference persisted after adjusting for confounding variables and when considering only those with no/mild DR. This confirms that GC-IPL thinning occurs early in DM and can serve as a useful marker of DRN. Public Library of Science 2021-09-29 /pmc/articles/PMC8480885/ /pubmed/34587216 http://dx.doi.org/10.1371/journal.pone.0257836 Text en © 2021 Channa et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Channa, Roomasa
Lee, Kyungmoo
Staggers, Kristen A.
Mehta, Nitish
Zafar, Sidra
Gao, Jie
Frankfort, Benjamin J.
Chua, Sharon Y. L.
Khawaja, Anthony P.
Foster, Paul J.
Patel, Praveen J.
Minard, Charles G.
Amos, Chris
Abramoff, Michael D.
Detecting retinal neurodegeneration in people with diabetes: Findings from the UK Biobank
title Detecting retinal neurodegeneration in people with diabetes: Findings from the UK Biobank
title_full Detecting retinal neurodegeneration in people with diabetes: Findings from the UK Biobank
title_fullStr Detecting retinal neurodegeneration in people with diabetes: Findings from the UK Biobank
title_full_unstemmed Detecting retinal neurodegeneration in people with diabetes: Findings from the UK Biobank
title_short Detecting retinal neurodegeneration in people with diabetes: Findings from the UK Biobank
title_sort detecting retinal neurodegeneration in people with diabetes: findings from the uk biobank
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480885/
https://www.ncbi.nlm.nih.gov/pubmed/34587216
http://dx.doi.org/10.1371/journal.pone.0257836
work_keys_str_mv AT channaroomasa detectingretinalneurodegenerationinpeoplewithdiabetesfindingsfromtheukbiobank
AT leekyungmoo detectingretinalneurodegenerationinpeoplewithdiabetesfindingsfromtheukbiobank
AT staggerskristena detectingretinalneurodegenerationinpeoplewithdiabetesfindingsfromtheukbiobank
AT mehtanitish detectingretinalneurodegenerationinpeoplewithdiabetesfindingsfromtheukbiobank
AT zafarsidra detectingretinalneurodegenerationinpeoplewithdiabetesfindingsfromtheukbiobank
AT gaojie detectingretinalneurodegenerationinpeoplewithdiabetesfindingsfromtheukbiobank
AT frankfortbenjaminj detectingretinalneurodegenerationinpeoplewithdiabetesfindingsfromtheukbiobank
AT chuasharonyl detectingretinalneurodegenerationinpeoplewithdiabetesfindingsfromtheukbiobank
AT khawajaanthonyp detectingretinalneurodegenerationinpeoplewithdiabetesfindingsfromtheukbiobank
AT fosterpaulj detectingretinalneurodegenerationinpeoplewithdiabetesfindingsfromtheukbiobank
AT patelpraveenj detectingretinalneurodegenerationinpeoplewithdiabetesfindingsfromtheukbiobank
AT minardcharlesg detectingretinalneurodegenerationinpeoplewithdiabetesfindingsfromtheukbiobank
AT amoschris detectingretinalneurodegenerationinpeoplewithdiabetesfindingsfromtheukbiobank
AT abramoffmichaeld detectingretinalneurodegenerationinpeoplewithdiabetesfindingsfromtheukbiobank