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Bacterial and fungal coinfections among patients with COVID-19 in Zanjan, Northwest of Iran; a single-center observational with meta-analysis of the literature

BACKGROUND AND OBJECTIVES: There is a poor understanding about the prevalence and characteristics of secondary bacterial and fungal infections among Coronavirus diseases 2019 (COVID-19) superinfection in hospitalized patients. MATERIALS AND METHODS: Four hundred COVID-19-proven patients were enrolle...

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Autores principales: Morovati, Hamid, Eslami, Saba, Farzaneh Bonab, Hesam, Kord, Mohammad, Darabian, Sima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723436/
https://www.ncbi.nlm.nih.gov/pubmed/36531818
http://dx.doi.org/10.18502/ijm.v14i5.10955
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author Morovati, Hamid
Eslami, Saba
Farzaneh Bonab, Hesam
Kord, Mohammad
Darabian, Sima
author_facet Morovati, Hamid
Eslami, Saba
Farzaneh Bonab, Hesam
Kord, Mohammad
Darabian, Sima
author_sort Morovati, Hamid
collection PubMed
description BACKGROUND AND OBJECTIVES: There is a poor understanding about the prevalence and characteristics of secondary bacterial and fungal infections among Coronavirus diseases 2019 (COVID-19) superinfection in hospitalized patients. MATERIALS AND METHODS: Four hundred COVID-19-proven patients were enrolled in this study. Nasal swabs for molecular assay (Real-time PCR) and sputum samples for further microbiological assays were collected. Following a broad-spectrum search, a meta-analysis was performed using StatsDirect software (version 2.7.9) according to the DerSimonian and Laird method applying the random-effects models. RESULTS: Streptococcus spp. (21.5%) and Staphylococcus spp. (16.7%) had the highest prevalence of bacterial coinfection among the COVID-19 patients, while Acinetobacter spp. had the lowest prevalence (4.2%). Among fungal coinfections, Candida albicans was the most prevalent (6.7%), and Aspergillus spp. was the lowest (2%). Males, elderly patients, patients with a history of underlying diseases and drug use, patients who showed acute clinical symptoms, and patients with a prolonged hospital stay had a higher incidence of secondary infections (P-value <0.05). The pooled prevalence for bacterial and fungal coinfections was 33.52% (95% CI: 18.12 to 50.98; I(2): 99.4%; P-value: <0.0001). CONCLUSION: We suggest designing additional research with a larger target population and diagnostic molecular analyses to depict a more realistic view of the coinfection status.
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spelling pubmed-97234362022-12-15 Bacterial and fungal coinfections among patients with COVID-19 in Zanjan, Northwest of Iran; a single-center observational with meta-analysis of the literature Morovati, Hamid Eslami, Saba Farzaneh Bonab, Hesam Kord, Mohammad Darabian, Sima Iran J Microbiol Original Article BACKGROUND AND OBJECTIVES: There is a poor understanding about the prevalence and characteristics of secondary bacterial and fungal infections among Coronavirus diseases 2019 (COVID-19) superinfection in hospitalized patients. MATERIALS AND METHODS: Four hundred COVID-19-proven patients were enrolled in this study. Nasal swabs for molecular assay (Real-time PCR) and sputum samples for further microbiological assays were collected. Following a broad-spectrum search, a meta-analysis was performed using StatsDirect software (version 2.7.9) according to the DerSimonian and Laird method applying the random-effects models. RESULTS: Streptococcus spp. (21.5%) and Staphylococcus spp. (16.7%) had the highest prevalence of bacterial coinfection among the COVID-19 patients, while Acinetobacter spp. had the lowest prevalence (4.2%). Among fungal coinfections, Candida albicans was the most prevalent (6.7%), and Aspergillus spp. was the lowest (2%). Males, elderly patients, patients with a history of underlying diseases and drug use, patients who showed acute clinical symptoms, and patients with a prolonged hospital stay had a higher incidence of secondary infections (P-value <0.05). The pooled prevalence for bacterial and fungal coinfections was 33.52% (95% CI: 18.12 to 50.98; I(2): 99.4%; P-value: <0.0001). CONCLUSION: We suggest designing additional research with a larger target population and diagnostic molecular analyses to depict a more realistic view of the coinfection status. Tehran University of Medical Sciences 2022-10 /pmc/articles/PMC9723436/ /pubmed/36531818 http://dx.doi.org/10.18502/ijm.v14i5.10955 Text en Copyright © 2022 The Authors. Published by Tehran University of Medical Sciences https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (https://creativecommons.org/licenses/by-nc/4.0/). Non-commercial uses of the work are permitted, provided the original work is properly cited.
spellingShingle Original Article
Morovati, Hamid
Eslami, Saba
Farzaneh Bonab, Hesam
Kord, Mohammad
Darabian, Sima
Bacterial and fungal coinfections among patients with COVID-19 in Zanjan, Northwest of Iran; a single-center observational with meta-analysis of the literature
title Bacterial and fungal coinfections among patients with COVID-19 in Zanjan, Northwest of Iran; a single-center observational with meta-analysis of the literature
title_full Bacterial and fungal coinfections among patients with COVID-19 in Zanjan, Northwest of Iran; a single-center observational with meta-analysis of the literature
title_fullStr Bacterial and fungal coinfections among patients with COVID-19 in Zanjan, Northwest of Iran; a single-center observational with meta-analysis of the literature
title_full_unstemmed Bacterial and fungal coinfections among patients with COVID-19 in Zanjan, Northwest of Iran; a single-center observational with meta-analysis of the literature
title_short Bacterial and fungal coinfections among patients with COVID-19 in Zanjan, Northwest of Iran; a single-center observational with meta-analysis of the literature
title_sort bacterial and fungal coinfections among patients with covid-19 in zanjan, northwest of iran; a single-center observational with meta-analysis of the literature
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723436/
https://www.ncbi.nlm.nih.gov/pubmed/36531818
http://dx.doi.org/10.18502/ijm.v14i5.10955
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