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Microbial Keratitis in Nepal: Predicting the Microbial Aetiology from Clinical Features

Fungal corneal infection (keratitis) is a common clinical problem in South Asia. However, it is often challenging to distinguish this from other aetiologies, such as bacteria or acanthamoeba. In this prospective study, we investigated clinical and epidemiological features that can predict the microb...

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Autores principales: Hoffman, Jeremy J., Yadav, Reena, Sanyam, Sandip Das, Chaudhary, Pankaj, Roshan, Abhishek, Singh, Sanjay Kumar, Arunga, Simon, Hu, Victor H., Macleod, David, Leck, Astrid, Burton, Matthew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879647/
https://www.ncbi.nlm.nih.gov/pubmed/35205955
http://dx.doi.org/10.3390/jof8020201
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author Hoffman, Jeremy J.
Yadav, Reena
Sanyam, Sandip Das
Chaudhary, Pankaj
Roshan, Abhishek
Singh, Sanjay Kumar
Arunga, Simon
Hu, Victor H.
Macleod, David
Leck, Astrid
Burton, Matthew J.
author_facet Hoffman, Jeremy J.
Yadav, Reena
Sanyam, Sandip Das
Chaudhary, Pankaj
Roshan, Abhishek
Singh, Sanjay Kumar
Arunga, Simon
Hu, Victor H.
Macleod, David
Leck, Astrid
Burton, Matthew J.
author_sort Hoffman, Jeremy J.
collection PubMed
description Fungal corneal infection (keratitis) is a common clinical problem in South Asia. However, it is often challenging to distinguish this from other aetiologies, such as bacteria or acanthamoeba. In this prospective study, we investigated clinical and epidemiological features that can predict the microbial aetiology of microbial keratitis in Nepal. We recruited patients presenting with keratitis to a tertiary eye hospital in lowland eastern Nepal between June 2019 and November 2020. A structured assessment, including demographics, history, and clinical signs, was carried out. The aetiology was investigated with in vivo confocal microscopy and corneal scrape for microscopy and culture. A predictor score was developed using odds ratios calculated to predict aetiology from features. A fungal cause was identified in 482/642 (75.1%) of cases, which increased to 532/642 (82.9%) when including mixed infections. Unusually, dematiaceous fungi accounted for half of the culture-positive cases (50.6%). Serrated infiltrate margins, patent nasolacrimal duct, raised corneal slough, and organic trauma were independently associated with fungal keratitis (p < 0.01). These four features were combined in a predictor score. The probability of fungal keratitis was 30.1% if one feature was present, increasing to 96.3% if all four were present. Whilst microbiological diagnosis is the “gold standard” to determine the aetiology of an infection, certain clinical signs can help direct the clinician to find a presumptive infectious cause, allowing appropriate treatment to be started without delay. Additionally, this study identified dematiaceous fungi, specifically Curvularia spp., as the main causative agent for fungal keratitis in this region. This novel finding warrants further research to understand potential implications and any trends over time.
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spelling pubmed-88796472022-02-26 Microbial Keratitis in Nepal: Predicting the Microbial Aetiology from Clinical Features Hoffman, Jeremy J. Yadav, Reena Sanyam, Sandip Das Chaudhary, Pankaj Roshan, Abhishek Singh, Sanjay Kumar Arunga, Simon Hu, Victor H. Macleod, David Leck, Astrid Burton, Matthew J. J Fungi (Basel) Article Fungal corneal infection (keratitis) is a common clinical problem in South Asia. However, it is often challenging to distinguish this from other aetiologies, such as bacteria or acanthamoeba. In this prospective study, we investigated clinical and epidemiological features that can predict the microbial aetiology of microbial keratitis in Nepal. We recruited patients presenting with keratitis to a tertiary eye hospital in lowland eastern Nepal between June 2019 and November 2020. A structured assessment, including demographics, history, and clinical signs, was carried out. The aetiology was investigated with in vivo confocal microscopy and corneal scrape for microscopy and culture. A predictor score was developed using odds ratios calculated to predict aetiology from features. A fungal cause was identified in 482/642 (75.1%) of cases, which increased to 532/642 (82.9%) when including mixed infections. Unusually, dematiaceous fungi accounted for half of the culture-positive cases (50.6%). Serrated infiltrate margins, patent nasolacrimal duct, raised corneal slough, and organic trauma were independently associated with fungal keratitis (p < 0.01). These four features were combined in a predictor score. The probability of fungal keratitis was 30.1% if one feature was present, increasing to 96.3% if all four were present. Whilst microbiological diagnosis is the “gold standard” to determine the aetiology of an infection, certain clinical signs can help direct the clinician to find a presumptive infectious cause, allowing appropriate treatment to be started without delay. Additionally, this study identified dematiaceous fungi, specifically Curvularia spp., as the main causative agent for fungal keratitis in this region. This novel finding warrants further research to understand potential implications and any trends over time. MDPI 2022-02-19 /pmc/articles/PMC8879647/ /pubmed/35205955 http://dx.doi.org/10.3390/jof8020201 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
Hoffman, Jeremy J.
Yadav, Reena
Sanyam, Sandip Das
Chaudhary, Pankaj
Roshan, Abhishek
Singh, Sanjay Kumar
Arunga, Simon
Hu, Victor H.
Macleod, David
Leck, Astrid
Burton, Matthew J.
Microbial Keratitis in Nepal: Predicting the Microbial Aetiology from Clinical Features
title Microbial Keratitis in Nepal: Predicting the Microbial Aetiology from Clinical Features
title_full Microbial Keratitis in Nepal: Predicting the Microbial Aetiology from Clinical Features
title_fullStr Microbial Keratitis in Nepal: Predicting the Microbial Aetiology from Clinical Features
title_full_unstemmed Microbial Keratitis in Nepal: Predicting the Microbial Aetiology from Clinical Features
title_short Microbial Keratitis in Nepal: Predicting the Microbial Aetiology from Clinical Features
title_sort microbial keratitis in nepal: predicting the microbial aetiology from clinical features
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879647/
https://www.ncbi.nlm.nih.gov/pubmed/35205955
http://dx.doi.org/10.3390/jof8020201
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