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The Role of Different Tear Volume Detection Methods in the Evaluation and Diagnosis of Mild Dry Eye Disease

PURPOSE: To compare the diagnostic power of strip meniscometry (SM), Schirmer test (ST), and tear meniscus (TM) in mild dry eye disease (DED) and to evaluate the association with DED-related parameters. METHODS: Forty left eyes with mild DED and 40 left eyes of control participants were investigated...

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Autores principales: Wang, Yuzhou, Xu, Zhiqiang, Gong, Qianwen, Ren, Wenjun, Chen, Lin, Lu, Fan, Hu, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934549/
https://www.ncbi.nlm.nih.gov/pubmed/35285862
http://dx.doi.org/10.1167/tvst.11.3.15
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author Wang, Yuzhou
Xu, Zhiqiang
Gong, Qianwen
Ren, Wenjun
Chen, Lin
Lu, Fan
Hu, Liang
author_facet Wang, Yuzhou
Xu, Zhiqiang
Gong, Qianwen
Ren, Wenjun
Chen, Lin
Lu, Fan
Hu, Liang
author_sort Wang, Yuzhou
collection PubMed
description PURPOSE: To compare the diagnostic power of strip meniscometry (SM), Schirmer test (ST), and tear meniscus (TM) in mild dry eye disease (DED) and to evaluate the association with DED-related parameters. METHODS: Forty left eyes with mild DED and 40 left eyes of control participants were investigated. All participants underwent a comprehensive ocular surface examination, including the Ocular Surface Disease Index (OSDI), fluorescein tear film break-up time (FTBUT), ocular surface staining grades, meiboscores, and tear film volume examinations, including SM, ST, tear meniscus height (TMH), and tear meniscus cross-sectional area (TMA) measurements, respectively, by optical coherence tomography (OCT) and Keratograph 5M (K5M). The correlation between these parameters was evaluated, and the receiver operating characteristic (ROC) curve was used to verify the diagnostic power by the area under the curve (AUC). RESULTS: All tear film volume examinations significantly correlated with DED parameters. Among them, the most relevant factor to OSDI scores and FTBUT was SM. In addition, SM (AUC = 0.992), TMH-OCT (AUC = 0.978), and TMA-OCT (AUC = 0.960) showed better diagnostic power than ST (AUC = 0.650) in DED, in which the cutoff value of SM was 3.5 mm (sensitivity, 97.5%; specificity, 95.0%). CONCLUSIONS: Compared with ST, SM and TM parameters obtained by OCT were more relevant to ocular surface parameters and can provide a more valuable approach to discriminate mild DED from control participants. TRANSLATIONAL RELEVANCE: This study made a comprehensive comparison of the existing tear volume detection methods and provided a basis for the clinical selection of appropriate detection methods and the diagnosis of mild DED.
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spelling pubmed-89345492022-03-21 The Role of Different Tear Volume Detection Methods in the Evaluation and Diagnosis of Mild Dry Eye Disease Wang, Yuzhou Xu, Zhiqiang Gong, Qianwen Ren, Wenjun Chen, Lin Lu, Fan Hu, Liang Transl Vis Sci Technol Article PURPOSE: To compare the diagnostic power of strip meniscometry (SM), Schirmer test (ST), and tear meniscus (TM) in mild dry eye disease (DED) and to evaluate the association with DED-related parameters. METHODS: Forty left eyes with mild DED and 40 left eyes of control participants were investigated. All participants underwent a comprehensive ocular surface examination, including the Ocular Surface Disease Index (OSDI), fluorescein tear film break-up time (FTBUT), ocular surface staining grades, meiboscores, and tear film volume examinations, including SM, ST, tear meniscus height (TMH), and tear meniscus cross-sectional area (TMA) measurements, respectively, by optical coherence tomography (OCT) and Keratograph 5M (K5M). The correlation between these parameters was evaluated, and the receiver operating characteristic (ROC) curve was used to verify the diagnostic power by the area under the curve (AUC). RESULTS: All tear film volume examinations significantly correlated with DED parameters. Among them, the most relevant factor to OSDI scores and FTBUT was SM. In addition, SM (AUC = 0.992), TMH-OCT (AUC = 0.978), and TMA-OCT (AUC = 0.960) showed better diagnostic power than ST (AUC = 0.650) in DED, in which the cutoff value of SM was 3.5 mm (sensitivity, 97.5%; specificity, 95.0%). CONCLUSIONS: Compared with ST, SM and TM parameters obtained by OCT were more relevant to ocular surface parameters and can provide a more valuable approach to discriminate mild DED from control participants. TRANSLATIONAL RELEVANCE: This study made a comprehensive comparison of the existing tear volume detection methods and provided a basis for the clinical selection of appropriate detection methods and the diagnosis of mild DED. The Association for Research in Vision and Ophthalmology 2022-03-14 /pmc/articles/PMC8934549/ /pubmed/35285862 http://dx.doi.org/10.1167/tvst.11.3.15 Text en Copyright 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Article
Wang, Yuzhou
Xu, Zhiqiang
Gong, Qianwen
Ren, Wenjun
Chen, Lin
Lu, Fan
Hu, Liang
The Role of Different Tear Volume Detection Methods in the Evaluation and Diagnosis of Mild Dry Eye Disease
title The Role of Different Tear Volume Detection Methods in the Evaluation and Diagnosis of Mild Dry Eye Disease
title_full The Role of Different Tear Volume Detection Methods in the Evaluation and Diagnosis of Mild Dry Eye Disease
title_fullStr The Role of Different Tear Volume Detection Methods in the Evaluation and Diagnosis of Mild Dry Eye Disease
title_full_unstemmed The Role of Different Tear Volume Detection Methods in the Evaluation and Diagnosis of Mild Dry Eye Disease
title_short The Role of Different Tear Volume Detection Methods in the Evaluation and Diagnosis of Mild Dry Eye Disease
title_sort role of different tear volume detection methods in the evaluation and diagnosis of mild dry eye disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934549/
https://www.ncbi.nlm.nih.gov/pubmed/35285862
http://dx.doi.org/10.1167/tvst.11.3.15
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