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Diagnosing the severity of dry eye: a clear and practical algorithm

Dry eye disease (DED) is a distressing ocular condition. Due to its multifactorial nature, clinical and biological signs of DED can be inconsistent and sometimes discordant with symptomatology. Consequently, no gold-standard model for determining DED severity exists. This can impact treatment decisi...

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Autores principales: Baudouin, Christophe, Aragona, Pasquale, Van Setten, Gysbert, Rolando, Maurizio, Irkeç, Murat, Benítez del Castillo, José, Geerling, Gerd, Labetoulle, Marc, Bonini, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4145432/
https://www.ncbi.nlm.nih.gov/pubmed/24627252
http://dx.doi.org/10.1136/bjophthalmol-2013-304619
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author Baudouin, Christophe
Aragona, Pasquale
Van Setten, Gysbert
Rolando, Maurizio
Irkeç, Murat
Benítez del Castillo, José
Geerling, Gerd
Labetoulle, Marc
Bonini, Stefano
author_facet Baudouin, Christophe
Aragona, Pasquale
Van Setten, Gysbert
Rolando, Maurizio
Irkeç, Murat
Benítez del Castillo, José
Geerling, Gerd
Labetoulle, Marc
Bonini, Stefano
author_sort Baudouin, Christophe
collection PubMed
description Dry eye disease (DED) is a distressing ocular condition. Due to its multifactorial nature, clinical and biological signs of DED can be inconsistent and sometimes discordant with symptomatology. Consequently, no gold-standard model for determining DED severity exists. This can impact treatment decisions and complicate evaluation of disease progression, particularly within the stringent context of clinical trials. The multinational ODISSEY European Consensus Group is comprised of ophthalmologists who contend with ocular surface disease issues on a daily basis. This group convened to establish a clear and practical algorithm for evaluation and diagnosis of severe DED. Using a consensus-based approach, they assessed 14 commonly used DED severity criteria. The panel agreed that following confirmed DED diagnosis, just two criteria, symptom-based assessment and corneal fluorescein staining were sufficient to diagnose the presence of severe DED in the majority of patients. In the event of discordance between signs and symptoms, further evaluation using additional determinant criteria was recommended. This report presents the ODISSEY European Consensus Group recommended algorithm for DED evaluation, which facilitates diagnosis of severe disease even in the event of discordance between signs and symptoms. It is intended that this algorithm will be useful in a clinical and developmental setting.
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spelling pubmed-41454322014-09-02 Diagnosing the severity of dry eye: a clear and practical algorithm Baudouin, Christophe Aragona, Pasquale Van Setten, Gysbert Rolando, Maurizio Irkeç, Murat Benítez del Castillo, José Geerling, Gerd Labetoulle, Marc Bonini, Stefano Br J Ophthalmol Review Dry eye disease (DED) is a distressing ocular condition. Due to its multifactorial nature, clinical and biological signs of DED can be inconsistent and sometimes discordant with symptomatology. Consequently, no gold-standard model for determining DED severity exists. This can impact treatment decisions and complicate evaluation of disease progression, particularly within the stringent context of clinical trials. The multinational ODISSEY European Consensus Group is comprised of ophthalmologists who contend with ocular surface disease issues on a daily basis. This group convened to establish a clear and practical algorithm for evaluation and diagnosis of severe DED. Using a consensus-based approach, they assessed 14 commonly used DED severity criteria. The panel agreed that following confirmed DED diagnosis, just two criteria, symptom-based assessment and corneal fluorescein staining were sufficient to diagnose the presence of severe DED in the majority of patients. In the event of discordance between signs and symptoms, further evaluation using additional determinant criteria was recommended. This report presents the ODISSEY European Consensus Group recommended algorithm for DED evaluation, which facilitates diagnosis of severe disease even in the event of discordance between signs and symptoms. It is intended that this algorithm will be useful in a clinical and developmental setting. BMJ Publishing Group 2014-09 2014-03-13 /pmc/articles/PMC4145432/ /pubmed/24627252 http://dx.doi.org/10.1136/bjophthalmol-2013-304619 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Review
Baudouin, Christophe
Aragona, Pasquale
Van Setten, Gysbert
Rolando, Maurizio
Irkeç, Murat
Benítez del Castillo, José
Geerling, Gerd
Labetoulle, Marc
Bonini, Stefano
Diagnosing the severity of dry eye: a clear and practical algorithm
title Diagnosing the severity of dry eye: a clear and practical algorithm
title_full Diagnosing the severity of dry eye: a clear and practical algorithm
title_fullStr Diagnosing the severity of dry eye: a clear and practical algorithm
title_full_unstemmed Diagnosing the severity of dry eye: a clear and practical algorithm
title_short Diagnosing the severity of dry eye: a clear and practical algorithm
title_sort diagnosing the severity of dry eye: a clear and practical algorithm
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4145432/
https://www.ncbi.nlm.nih.gov/pubmed/24627252
http://dx.doi.org/10.1136/bjophthalmol-2013-304619
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