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...
Autores principales: | , , , , , |
---|---|
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 |