Association between smoking history and optical coherence tomography angiography findings in diabetic patients without diabetic retinopathy.

<h4>Purpose</h4>To investigate any associations between cigarette smoking and retinal microvascular changes in diabetic patients without visible retinopathy.<h4>Design</h4>Retrospective, cross-sectional study.<h4>Participants</h4>1099 eyes from 1099 diabetic patie...

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Autores principales: Dong-Wei Liu, Zeeshan Haq, Daphne Yang, Jay M Stewart
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Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/a0333413ffc04e668867a03b9d3e3607
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spelling oai:doaj.org-article:a0333413ffc04e668867a03b9d3e36072021-12-02T20:15:32ZAssociation between smoking history and optical coherence tomography angiography findings in diabetic patients without diabetic retinopathy.1932-620310.1371/journal.pone.0253928https://doaj.org/article/a0333413ffc04e668867a03b9d3e36072021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253928https://doaj.org/toc/1932-6203<h4>Purpose</h4>To investigate any associations between cigarette smoking and retinal microvascular changes in diabetic patients without visible retinopathy.<h4>Design</h4>Retrospective, cross-sectional study.<h4>Participants</h4>1099 eyes from 1099 diabetic patients with no clinical evidence of diabetic retinopathy (DR) were included in this study.<h4>Methods</h4>Diabetic patients underwent optical coherence tomography angiography (OCTA) scanning at Zuckerberg San Francisco General Hospital and Trauma Center between April 2018 and September 2019. Patient demographic and clinical information was collected. Standard bivariate statistics and multivariate linear regression were performed.<h4>Main outcome measures</h4>OCTA parameters included metrics related to the foveal avascular zone (FAZ; area, perimeter, circularity), perfusion density (PD; full, center, inner), and vessel length density (VLD; full, center, inner).<h4>Results</h4>The study population included 750 non-smokers and 349 smokers. FAZ perimeter was the only OCTA parameter that was significantly different between the two groups on uncontrolled analysis (P = 0.033). Multivariate regression analyses revealed significant associations between lower VLD full (β = -0.31, P = 0.048), lower VLD inner (β = -0.35, P = 0.046) and a history of smoking. No significant associations between cigarette smoking and either FAZ or PD were detected.<h4>Conclusions</h4>Our results suggest that smoking is likely associated with deleterious changes in the retinal microvasculature of patients with a history of diabetes and no visible DR. Based on these findings, diabetic patients with a history of smoking may benefit from higher prioritization in terms of ophthalmic screening.Dong-Wei LiuZeeshan HaqDaphne YangJay M StewartPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0253928 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Dong-Wei Liu
Zeeshan Haq
Daphne Yang
Jay M Stewart
Association between smoking history and optical coherence tomography angiography findings in diabetic patients without diabetic retinopathy.
description <h4>Purpose</h4>To investigate any associations between cigarette smoking and retinal microvascular changes in diabetic patients without visible retinopathy.<h4>Design</h4>Retrospective, cross-sectional study.<h4>Participants</h4>1099 eyes from 1099 diabetic patients with no clinical evidence of diabetic retinopathy (DR) were included in this study.<h4>Methods</h4>Diabetic patients underwent optical coherence tomography angiography (OCTA) scanning at Zuckerberg San Francisco General Hospital and Trauma Center between April 2018 and September 2019. Patient demographic and clinical information was collected. Standard bivariate statistics and multivariate linear regression were performed.<h4>Main outcome measures</h4>OCTA parameters included metrics related to the foveal avascular zone (FAZ; area, perimeter, circularity), perfusion density (PD; full, center, inner), and vessel length density (VLD; full, center, inner).<h4>Results</h4>The study population included 750 non-smokers and 349 smokers. FAZ perimeter was the only OCTA parameter that was significantly different between the two groups on uncontrolled analysis (P = 0.033). Multivariate regression analyses revealed significant associations between lower VLD full (β = -0.31, P = 0.048), lower VLD inner (β = -0.35, P = 0.046) and a history of smoking. No significant associations between cigarette smoking and either FAZ or PD were detected.<h4>Conclusions</h4>Our results suggest that smoking is likely associated with deleterious changes in the retinal microvasculature of patients with a history of diabetes and no visible DR. Based on these findings, diabetic patients with a history of smoking may benefit from higher prioritization in terms of ophthalmic screening.
format article
author Dong-Wei Liu
Zeeshan Haq
Daphne Yang
Jay M Stewart
author_facet Dong-Wei Liu
Zeeshan Haq
Daphne Yang
Jay M Stewart
author_sort Dong-Wei Liu
title Association between smoking history and optical coherence tomography angiography findings in diabetic patients without diabetic retinopathy.
title_short Association between smoking history and optical coherence tomography angiography findings in diabetic patients without diabetic retinopathy.
title_full Association between smoking history and optical coherence tomography angiography findings in diabetic patients without diabetic retinopathy.
title_fullStr Association between smoking history and optical coherence tomography angiography findings in diabetic patients without diabetic retinopathy.
title_full_unstemmed Association between smoking history and optical coherence tomography angiography findings in diabetic patients without diabetic retinopathy.
title_sort association between smoking history and optical coherence tomography angiography findings in diabetic patients without diabetic retinopathy.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/a0333413ffc04e668867a03b9d3e3607
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