Bacterial and fungal coinfections among patients with COVID-19 in Zanjan, Northwest of Iran; a single-center observational with meta-analysis of the literature
Copyright © 2022 The Authors. Published by Tehran University of Medical Sciences..
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; I2: 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.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2022 |
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Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:14 |
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Enthalten in: |
Iranian journal of microbiology - 14(2022), 5 vom: 01. Okt., Seite 624-635 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Morovati, Hamid [VerfasserIn] |
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Links: |
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Themen: |
COVID-19 |
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Anmerkungen: |
Date Revised 22.12.2022 published: Print Citation Status PubMed-not-MEDLINE |
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doi: |
10.18502/ijm.v14i5.10955 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM350436460 |
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520 | |a Copyright © 2022 The Authors. Published by Tehran University of Medical Sciences. | ||
520 | |a 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 | ||
520 | |a 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 | ||
520 | |a 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; I2: 99.4%; P-value: <0.0001) | ||
520 | |a 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 | ||
650 | 4 | |a Journal Article | |
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700 | 1 | |a Farzaneh Bonab, Hesam |e verfasserin |4 aut | |
700 | 1 | |a Kord, Mohammad |e verfasserin |4 aut | |
700 | 1 | |a Darabian, Sima |e verfasserin |4 aut | |
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