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Assessment of dry eye disease in N95 versus surgical face mask wearers during COVID-19

PURPOSE: Investigating the effect of different face masks on dry eye disease (DED) among healthcare workers during the COVID-19 pandemic. METHODS: This was a comparative, cross-sectional study. Participants were included into two groups: group 1 (n = 30) wore surgical masks, and group 2 (n = 30) wor...

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Autores principales: Azzam, Shirin Hamed, Nama, Amir, Badarni, Hanan, Asael, Helena, Dahoud, Wadie Abu, Mimouni, Michael, Zayyad, Hiba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114619/
https://www.ncbi.nlm.nih.gov/pubmed/35225560
http://dx.doi.org/10.4103/ijo.IJO_1133_21
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author Azzam, Shirin Hamed
Nama, Amir
Badarni, Hanan
Asael, Helena
Dahoud, Wadie Abu
Mimouni, Michael
Zayyad, Hiba
author_facet Azzam, Shirin Hamed
Nama, Amir
Badarni, Hanan
Asael, Helena
Dahoud, Wadie Abu
Mimouni, Michael
Zayyad, Hiba
author_sort Azzam, Shirin Hamed
collection PubMed
description PURPOSE: Investigating the effect of different face masks on dry eye disease (DED) among healthcare workers during the COVID-19 pandemic. METHODS: This was a comparative, cross-sectional study. Participants were included into two groups: group 1 (n = 30) wore surgical masks, and group 2 (n = 30) wore N95 masks with face shields. Demographic and ocular surface disease index questionnaires (OSDI) were performed. In addition, Tear break-up time (TBUT), corneal and conjunctival fluorescein staining, and meibography to assess meibomian gland loss (MGL) were performed on all participants. Independent T-test was used to compare continuous parameters and Chi-square test for categorical variables. The relationship between continuous variables was tested using bivariate Pearson correlation. RESULTS: Sixty healthcare workers participated in this study (36 females and 24 males). The mean (±SD) age of the surgical mask and N95 groups was 35.33 (±14.94) and 36.63 (±10.64) years, respectively. Both masks caused dryness according to TBUT, MGL, and OSDI scores. DED per DEWS II definition was observed in 14 (46.7%) and 16 (53.3%) patients in groups 1 and 2, respectively. Comparing the two groups, N95 mask caused significantly more dryness according to TBUT (P = 0.042) and fluorescein staining (P = 0.038 for the right eye and P = 0.015 for the left eye). CONCLUSION: Physicians should be aware of the potential dry eye signs secondary to face mask wear during the COVID-19 pandemic. Further attention should be taken in patients who suffer from preexisting dry eye syndrome and in patients who undergo intraocular operations.
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spelling pubmed-91146192022-05-19 Assessment of dry eye disease in N95 versus surgical face mask wearers during COVID-19 Azzam, Shirin Hamed Nama, Amir Badarni, Hanan Asael, Helena Dahoud, Wadie Abu Mimouni, Michael Zayyad, Hiba Indian J Ophthalmol Expedited Publications, Original Article PURPOSE: Investigating the effect of different face masks on dry eye disease (DED) among healthcare workers during the COVID-19 pandemic. METHODS: This was a comparative, cross-sectional study. Participants were included into two groups: group 1 (n = 30) wore surgical masks, and group 2 (n = 30) wore N95 masks with face shields. Demographic and ocular surface disease index questionnaires (OSDI) were performed. In addition, Tear break-up time (TBUT), corneal and conjunctival fluorescein staining, and meibography to assess meibomian gland loss (MGL) were performed on all participants. Independent T-test was used to compare continuous parameters and Chi-square test for categorical variables. The relationship between continuous variables was tested using bivariate Pearson correlation. RESULTS: Sixty healthcare workers participated in this study (36 females and 24 males). The mean (±SD) age of the surgical mask and N95 groups was 35.33 (±14.94) and 36.63 (±10.64) years, respectively. Both masks caused dryness according to TBUT, MGL, and OSDI scores. DED per DEWS II definition was observed in 14 (46.7%) and 16 (53.3%) patients in groups 1 and 2, respectively. Comparing the two groups, N95 mask caused significantly more dryness according to TBUT (P = 0.042) and fluorescein staining (P = 0.038 for the right eye and P = 0.015 for the left eye). CONCLUSION: Physicians should be aware of the potential dry eye signs secondary to face mask wear during the COVID-19 pandemic. Further attention should be taken in patients who suffer from preexisting dry eye syndrome and in patients who undergo intraocular operations. Wolters Kluwer - Medknow 2022-03 2022-02-25 /pmc/articles/PMC9114619/ /pubmed/35225560 http://dx.doi.org/10.4103/ijo.IJO_1133_21 Text en Copyright: © 2022 Indian Journal of Ophthalmology 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 Expedited Publications, Original Article
Azzam, Shirin Hamed
Nama, Amir
Badarni, Hanan
Asael, Helena
Dahoud, Wadie Abu
Mimouni, Michael
Zayyad, Hiba
Assessment of dry eye disease in N95 versus surgical face mask wearers during COVID-19
title Assessment of dry eye disease in N95 versus surgical face mask wearers during COVID-19
title_full Assessment of dry eye disease in N95 versus surgical face mask wearers during COVID-19
title_fullStr Assessment of dry eye disease in N95 versus surgical face mask wearers during COVID-19
title_full_unstemmed Assessment of dry eye disease in N95 versus surgical face mask wearers during COVID-19
title_short Assessment of dry eye disease in N95 versus surgical face mask wearers during COVID-19
title_sort assessment of dry eye disease in n95 versus surgical face mask wearers during covid-19
topic Expedited Publications, Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114619/
https://www.ncbi.nlm.nih.gov/pubmed/35225560
http://dx.doi.org/10.4103/ijo.IJO_1133_21
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