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Indicators of Visual Prognosis in Diabetic Macular Oedema

Diabetic macular oedema (DMO) is an important cause of moderate vision loss in people with diabetes. Advances in imaging technology have shown that a significant proportion of patients with DMO respond sub-optimally to existing treatment options. Identifying associations and predictors of response b...

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Autores principales: Sen, Sagnik, Ramasamy, Kim, Sivaprasad, Sobha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8224579/
https://www.ncbi.nlm.nih.gov/pubmed/34067442
http://dx.doi.org/10.3390/jpm11060449
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author Sen, Sagnik
Ramasamy, Kim
Sivaprasad, Sobha
author_facet Sen, Sagnik
Ramasamy, Kim
Sivaprasad, Sobha
author_sort Sen, Sagnik
collection PubMed
description Diabetic macular oedema (DMO) is an important cause of moderate vision loss in people with diabetes. Advances in imaging technology have shown that a significant proportion of patients with DMO respond sub-optimally to existing treatment options. Identifying associations and predictors of response before treatment is initiated may help in explaining visual prognosis to patients and aid the development of personalized treatment strategies. Imaging features, such as central subfoveal thickness, photoreceptor integrity, disorganization of retinal inner layers, choroidal changes, and macular perfusion, have been reported to be prognostic factors of visual acuity (VA) in DMO. In this review we evaluated each risk factor to understand their relative importance in visual prognostication of DMO eyes post-treatment. Although individually, some of these factors may not be significant predictors, in combination they may form phenotypes that can inform visual prognosis. Stratification based on these phenotypes needs to be developed to progress to personalized medicine for DMO.
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spelling pubmed-82245792021-06-25 Indicators of Visual Prognosis in Diabetic Macular Oedema Sen, Sagnik Ramasamy, Kim Sivaprasad, Sobha J Pers Med Review Diabetic macular oedema (DMO) is an important cause of moderate vision loss in people with diabetes. Advances in imaging technology have shown that a significant proportion of patients with DMO respond sub-optimally to existing treatment options. Identifying associations and predictors of response before treatment is initiated may help in explaining visual prognosis to patients and aid the development of personalized treatment strategies. Imaging features, such as central subfoveal thickness, photoreceptor integrity, disorganization of retinal inner layers, choroidal changes, and macular perfusion, have been reported to be prognostic factors of visual acuity (VA) in DMO. In this review we evaluated each risk factor to understand their relative importance in visual prognostication of DMO eyes post-treatment. Although individually, some of these factors may not be significant predictors, in combination they may form phenotypes that can inform visual prognosis. Stratification based on these phenotypes needs to be developed to progress to personalized medicine for DMO. MDPI 2021-05-22 /pmc/articles/PMC8224579/ /pubmed/34067442 http://dx.doi.org/10.3390/jpm11060449 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Sen, Sagnik
Ramasamy, Kim
Sivaprasad, Sobha
Indicators of Visual Prognosis in Diabetic Macular Oedema
title Indicators of Visual Prognosis in Diabetic Macular Oedema
title_full Indicators of Visual Prognosis in Diabetic Macular Oedema
title_fullStr Indicators of Visual Prognosis in Diabetic Macular Oedema
title_full_unstemmed Indicators of Visual Prognosis in Diabetic Macular Oedema
title_short Indicators of Visual Prognosis in Diabetic Macular Oedema
title_sort indicators of visual prognosis in diabetic macular oedema
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8224579/
https://www.ncbi.nlm.nih.gov/pubmed/34067442
http://dx.doi.org/10.3390/jpm11060449
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