Cargando…
Molecular detection and identification of fungal pathogens infections occurring in COVID-19 recovered patients
The major outbreak of Corona virus disease COVID-19 caused by SARS-CoV-2 had brought about 4.55 million deaths and had shaken the health care system all over the world. From the year 2020 the recovered COVID-19 patients had started to develop microbial infection, most predominantly fungal infection...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898846/ https://www.ncbi.nlm.nih.gov/pubmed/36776382 http://dx.doi.org/10.1007/s13337-022-00805-8 |
_version_ | 1784882517273214976 |
---|---|
author | Lakshmipathy, Dhanurekha Appakudal Ramaswamy, Anand Maharajan, Hema Raja Pushpam Anand, Revathy Menon Thangam, Aishwariya Santharaj, Ranjith Kumar |
author_facet | Lakshmipathy, Dhanurekha Appakudal Ramaswamy, Anand Maharajan, Hema Raja Pushpam Anand, Revathy Menon Thangam, Aishwariya Santharaj, Ranjith Kumar |
author_sort | Lakshmipathy, Dhanurekha |
collection | PubMed |
description | The major outbreak of Corona virus disease COVID-19 caused by SARS-CoV-2 had brought about 4.55 million deaths and had shaken the health care system all over the world. From the year 2020 the recovered COVID-19 patients had started to develop microbial infection, most predominantly fungal infection in which Mucormycosis gained immediate attention as it has worsen the mortality rate in humans. In the present study of 53 COVID-19 recovered patients presented with microbial infection, the analysis of frequency distribution of fungal infection preponderantly with Rhizopus oryzae, followed by Aspergillus and Candida species. |
format | Online Article Text |
id | pubmed-9898846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer India |
record_format | MEDLINE/PubMed |
spelling | pubmed-98988462023-02-06 Molecular detection and identification of fungal pathogens infections occurring in COVID-19 recovered patients Lakshmipathy, Dhanurekha Appakudal Ramaswamy, Anand Maharajan, Hema Raja Pushpam Anand, Revathy Menon Thangam, Aishwariya Santharaj, Ranjith Kumar Virusdisease Short Communication The major outbreak of Corona virus disease COVID-19 caused by SARS-CoV-2 had brought about 4.55 million deaths and had shaken the health care system all over the world. From the year 2020 the recovered COVID-19 patients had started to develop microbial infection, most predominantly fungal infection in which Mucormycosis gained immediate attention as it has worsen the mortality rate in humans. In the present study of 53 COVID-19 recovered patients presented with microbial infection, the analysis of frequency distribution of fungal infection preponderantly with Rhizopus oryzae, followed by Aspergillus and Candida species. Springer India 2023-02-04 2023-03 /pmc/articles/PMC9898846/ /pubmed/36776382 http://dx.doi.org/10.1007/s13337-022-00805-8 Text en © The Author(s), under exclusive licence to Indian Virological Society 2023 |
spellingShingle | Short Communication Lakshmipathy, Dhanurekha Appakudal Ramaswamy, Anand Maharajan, Hema Raja Pushpam Anand, Revathy Menon Thangam, Aishwariya Santharaj, Ranjith Kumar Molecular detection and identification of fungal pathogens infections occurring in COVID-19 recovered patients |
title | Molecular detection and identification of fungal pathogens infections occurring in COVID-19 recovered patients |
title_full | Molecular detection and identification of fungal pathogens infections occurring in COVID-19 recovered patients |
title_fullStr | Molecular detection and identification of fungal pathogens infections occurring in COVID-19 recovered patients |
title_full_unstemmed | Molecular detection and identification of fungal pathogens infections occurring in COVID-19 recovered patients |
title_short | Molecular detection and identification of fungal pathogens infections occurring in COVID-19 recovered patients |
title_sort | molecular detection and identification of fungal pathogens infections occurring in covid-19 recovered patients |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898846/ https://www.ncbi.nlm.nih.gov/pubmed/36776382 http://dx.doi.org/10.1007/s13337-022-00805-8 |
work_keys_str_mv | AT lakshmipathydhanurekha moleculardetectionandidentificationoffungalpathogensinfectionsoccurringincovid19recoveredpatients AT appakudalramaswamyanand moleculardetectionandidentificationoffungalpathogensinfectionsoccurringincovid19recoveredpatients AT maharajanhemarajapushpam moleculardetectionandidentificationoffungalpathogensinfectionsoccurringincovid19recoveredpatients AT anandrevathymenon moleculardetectionandidentificationoffungalpathogensinfectionsoccurringincovid19recoveredpatients AT thangamaishwariya moleculardetectionandidentificationoffungalpathogensinfectionsoccurringincovid19recoveredpatients AT santharajranjithkumar moleculardetectionandidentificationoffungalpathogensinfectionsoccurringincovid19recoveredpatients |