Cargando…

P446 Molecular detection of fungal agents responsible for COVID-19-associated mycosis directly from tissue specimens

POSTER SESSION 3, SEPTEMBER 23, 2022, 12:30 PM - 1:30 PM:   OBJECTIVE: Due to the ongoing COVID-19 pandemic a new group of patients at risk emerged with COVID-19-associated mucormycosis (CAM) and other fungal infections. Molecular studies, evaluating the prevalence of CAM and other fungal infections...

Descripción completa

Detalles Bibliográficos
Autores principales: Singh, Vikramjeet, Das, Anupam, Agarwal, Ashish Chandra, Gupta, Nikhil, Sen, Manodeep, Agarwal, Jyotsna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515949/
http://dx.doi.org/10.1093/mmy/myac072.P446
_version_ 1784798605064798208
author Singh, Vikramjeet
Das, Anupam
Agarwal, Ashish Chandra
Gupta, Nikhil
Sen, Manodeep
Agarwal, Jyotsna
author_facet Singh, Vikramjeet
Das, Anupam
Agarwal, Ashish Chandra
Gupta, Nikhil
Sen, Manodeep
Agarwal, Jyotsna
author_sort Singh, Vikramjeet
collection PubMed
description POSTER SESSION 3, SEPTEMBER 23, 2022, 12:30 PM - 1:30 PM:   OBJECTIVE: Due to the ongoing COVID-19 pandemic a new group of patients at risk emerged with COVID-19-associated mucormycosis (CAM) and other fungal infections. Molecular studies, evaluating the prevalence of CAM and other fungal infections are lacking. To assess CAM prevalence in a super-specialty healthcare hospital in North India, we applied direct microscopy, fungal culture, and qualitative real-time-PCR targeting Mucorales-specific fragments on tissue specimens of critically ill COVID-19 patients. METHODS: This was a hospital-based prospective study during second-wave of COVID-19 in India. All clinically suspected CAM patients with a history of COVID-19 were included in the study from March 2021 to June 2021 where tissue or biopsy specimens were collected under aseptic conditions. Conventional identification methods were performed for all isolates, speciation was done by MALDI-TOF, and comparative detection by RTPCR was also done. RESULTS: In the present study, among 67 samples received in the laboratory from clinically suspected CAM patients, 32 samples showed positive growth using the conventional method of identification. Rhizopus arrhizus was the commonest fungal isolate obtained followed by Aspergillus flavus from tissue samples. Use of molecular and automated machines helped in the early identification of these species 24-48 h less than the conventional methods. Polyfungal isolates are also reported from two tissue samples of patients in the post-COVID discharge stage. Almost 90% of patients with CAM and other fungal etiology agreed to steroid intake and diabetes condition during COVID-19 infection. CONCLUSION: Considering the ever-evolving strains and variants of COVID-19, it is important to have a high index of suspicion for fungal coinfection in patients with COVID-19 presenting with comorbidities. Further, they should undergo immediate molecular studies with an emphasis on the requirement of medical or surgical intervention if the result comes positive. There is a need to stress on the judicious use of steroids to avoid flaring up of the fungal infection.
format Online
Article
Text
id pubmed-9515949
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-95159492022-09-28 P446 Molecular detection of fungal agents responsible for COVID-19-associated mycosis directly from tissue specimens Singh, Vikramjeet Das, Anupam Agarwal, Ashish Chandra Gupta, Nikhil Sen, Manodeep Agarwal, Jyotsna Med Mycol Oral Presentations POSTER SESSION 3, SEPTEMBER 23, 2022, 12:30 PM - 1:30 PM:   OBJECTIVE: Due to the ongoing COVID-19 pandemic a new group of patients at risk emerged with COVID-19-associated mucormycosis (CAM) and other fungal infections. Molecular studies, evaluating the prevalence of CAM and other fungal infections are lacking. To assess CAM prevalence in a super-specialty healthcare hospital in North India, we applied direct microscopy, fungal culture, and qualitative real-time-PCR targeting Mucorales-specific fragments on tissue specimens of critically ill COVID-19 patients. METHODS: This was a hospital-based prospective study during second-wave of COVID-19 in India. All clinically suspected CAM patients with a history of COVID-19 were included in the study from March 2021 to June 2021 where tissue or biopsy specimens were collected under aseptic conditions. Conventional identification methods were performed for all isolates, speciation was done by MALDI-TOF, and comparative detection by RTPCR was also done. RESULTS: In the present study, among 67 samples received in the laboratory from clinically suspected CAM patients, 32 samples showed positive growth using the conventional method of identification. Rhizopus arrhizus was the commonest fungal isolate obtained followed by Aspergillus flavus from tissue samples. Use of molecular and automated machines helped in the early identification of these species 24-48 h less than the conventional methods. Polyfungal isolates are also reported from two tissue samples of patients in the post-COVID discharge stage. Almost 90% of patients with CAM and other fungal etiology agreed to steroid intake and diabetes condition during COVID-19 infection. CONCLUSION: Considering the ever-evolving strains and variants of COVID-19, it is important to have a high index of suspicion for fungal coinfection in patients with COVID-19 presenting with comorbidities. Further, they should undergo immediate molecular studies with an emphasis on the requirement of medical or surgical intervention if the result comes positive. There is a need to stress on the judicious use of steroids to avoid flaring up of the fungal infection. Oxford University Press 2022-09-20 /pmc/articles/PMC9515949/ http://dx.doi.org/10.1093/mmy/myac072.P446 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Oral Presentations
Singh, Vikramjeet
Das, Anupam
Agarwal, Ashish Chandra
Gupta, Nikhil
Sen, Manodeep
Agarwal, Jyotsna
P446 Molecular detection of fungal agents responsible for COVID-19-associated mycosis directly from tissue specimens
title P446 Molecular detection of fungal agents responsible for COVID-19-associated mycosis directly from tissue specimens
title_full P446 Molecular detection of fungal agents responsible for COVID-19-associated mycosis directly from tissue specimens
title_fullStr P446 Molecular detection of fungal agents responsible for COVID-19-associated mycosis directly from tissue specimens
title_full_unstemmed P446 Molecular detection of fungal agents responsible for COVID-19-associated mycosis directly from tissue specimens
title_short P446 Molecular detection of fungal agents responsible for COVID-19-associated mycosis directly from tissue specimens
title_sort p446 molecular detection of fungal agents responsible for covid-19-associated mycosis directly from tissue specimens
topic Oral Presentations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515949/
http://dx.doi.org/10.1093/mmy/myac072.P446
work_keys_str_mv AT singhvikramjeet p446moleculardetectionoffungalagentsresponsibleforcovid19associatedmycosisdirectlyfromtissuespecimens
AT dasanupam p446moleculardetectionoffungalagentsresponsibleforcovid19associatedmycosisdirectlyfromtissuespecimens
AT agarwalashishchandra p446moleculardetectionoffungalagentsresponsibleforcovid19associatedmycosisdirectlyfromtissuespecimens
AT guptanikhil p446moleculardetectionoffungalagentsresponsibleforcovid19associatedmycosisdirectlyfromtissuespecimens
AT senmanodeep p446moleculardetectionoffungalagentsresponsibleforcovid19associatedmycosisdirectlyfromtissuespecimens
AT agarwaljyotsna p446moleculardetectionoffungalagentsresponsibleforcovid19associatedmycosisdirectlyfromtissuespecimens