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Predictive Assessment of Quantitative Ultra-Widefield Angiographic Features for Future Need for Anti-VEGF Therapy in Diabetic Eye Disease

The objective of this study was to identify biomarkers that predict a future need for anti-VEGF therapy in diabetic retinopathy (DR). Eyes with DR that underwent ultra-widefield angiography (UWFA) and had at least a 1 year follow-up were grouped based on future anti-VEGF treatment requirements: (1)...

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Autores principales: Jiang, Alice C., Sevgi, Duriye Damla, Mugnaini, Christopher, Whitney, Jon, Srivastava, Sunil K., Talcott, Katherine E., Hu, Ming, Reese, Jamie L., Ehlers, Justis P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032777/
https://www.ncbi.nlm.nih.gov/pubmed/35455724
http://dx.doi.org/10.3390/jpm12040608
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author Jiang, Alice C.
Sevgi, Duriye Damla
Mugnaini, Christopher
Whitney, Jon
Srivastava, Sunil K.
Talcott, Katherine E.
Hu, Ming
Reese, Jamie L.
Ehlers, Justis P.
author_facet Jiang, Alice C.
Sevgi, Duriye Damla
Mugnaini, Christopher
Whitney, Jon
Srivastava, Sunil K.
Talcott, Katherine E.
Hu, Ming
Reese, Jamie L.
Ehlers, Justis P.
author_sort Jiang, Alice C.
collection PubMed
description The objective of this study was to identify biomarkers that predict a future need for anti-VEGF therapy in diabetic retinopathy (DR). Eyes with DR that underwent ultra-widefield angiography (UWFA) and had at least a 1 year follow-up were grouped based on future anti-VEGF treatment requirements: (1) not requiring treatment, (2) immediate treatment (within 3 months of UWFA), and (3) delayed treatment (after 3 months of UWFA). Quantitative UWFA features and clinical factors were evaluated. Random forest models were built to differentiate eyes requiring immediate and delayed treatment from the eyes not requiring treatment. A total of 173 eyes were included. The mean follow-up was 22 (range: 11–43) months. The macular leakage index, panretinal leakage index, presence of DME, and visual acuity were significantly different in eyes requiring immediate (n = 38) and delayed (n = 34) treatment compared to eyes not requiring treatment (n = 101). Random forest model differentiating eyes requiring immediate treatment from eyes not requiring treatment demonstrated an AUC of 0.91 ± 0.07. Quantitative angiographic features have potential as important predictive biomarkers of a future need for anti-VEGF therapy in DR and may serve to guide the frequency of a follow-up.
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spelling pubmed-90327772022-04-23 Predictive Assessment of Quantitative Ultra-Widefield Angiographic Features for Future Need for Anti-VEGF Therapy in Diabetic Eye Disease Jiang, Alice C. Sevgi, Duriye Damla Mugnaini, Christopher Whitney, Jon Srivastava, Sunil K. Talcott, Katherine E. Hu, Ming Reese, Jamie L. Ehlers, Justis P. J Pers Med Article The objective of this study was to identify biomarkers that predict a future need for anti-VEGF therapy in diabetic retinopathy (DR). Eyes with DR that underwent ultra-widefield angiography (UWFA) and had at least a 1 year follow-up were grouped based on future anti-VEGF treatment requirements: (1) not requiring treatment, (2) immediate treatment (within 3 months of UWFA), and (3) delayed treatment (after 3 months of UWFA). Quantitative UWFA features and clinical factors were evaluated. Random forest models were built to differentiate eyes requiring immediate and delayed treatment from the eyes not requiring treatment. A total of 173 eyes were included. The mean follow-up was 22 (range: 11–43) months. The macular leakage index, panretinal leakage index, presence of DME, and visual acuity were significantly different in eyes requiring immediate (n = 38) and delayed (n = 34) treatment compared to eyes not requiring treatment (n = 101). Random forest model differentiating eyes requiring immediate treatment from eyes not requiring treatment demonstrated an AUC of 0.91 ± 0.07. Quantitative angiographic features have potential as important predictive biomarkers of a future need for anti-VEGF therapy in DR and may serve to guide the frequency of a follow-up. MDPI 2022-04-10 /pmc/articles/PMC9032777/ /pubmed/35455724 http://dx.doi.org/10.3390/jpm12040608 Text en © 2022 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 Article
Jiang, Alice C.
Sevgi, Duriye Damla
Mugnaini, Christopher
Whitney, Jon
Srivastava, Sunil K.
Talcott, Katherine E.
Hu, Ming
Reese, Jamie L.
Ehlers, Justis P.
Predictive Assessment of Quantitative Ultra-Widefield Angiographic Features for Future Need for Anti-VEGF Therapy in Diabetic Eye Disease
title Predictive Assessment of Quantitative Ultra-Widefield Angiographic Features for Future Need for Anti-VEGF Therapy in Diabetic Eye Disease
title_full Predictive Assessment of Quantitative Ultra-Widefield Angiographic Features for Future Need for Anti-VEGF Therapy in Diabetic Eye Disease
title_fullStr Predictive Assessment of Quantitative Ultra-Widefield Angiographic Features for Future Need for Anti-VEGF Therapy in Diabetic Eye Disease
title_full_unstemmed Predictive Assessment of Quantitative Ultra-Widefield Angiographic Features for Future Need for Anti-VEGF Therapy in Diabetic Eye Disease
title_short Predictive Assessment of Quantitative Ultra-Widefield Angiographic Features for Future Need for Anti-VEGF Therapy in Diabetic Eye Disease
title_sort predictive assessment of quantitative ultra-widefield angiographic features for future need for anti-vegf therapy in diabetic eye disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032777/
https://www.ncbi.nlm.nih.gov/pubmed/35455724
http://dx.doi.org/10.3390/jpm12040608
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