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Opportunistic Infections in COVID-19: A Systematic Review and Meta-Analysis
The prevalence, incidence, and characteristics of bacterial infections in patients infected with severe acute respiratory syndrome coronavirus 2 are not well understood and have been raised as an important knowledge gap. Therefore, our study focused on the most common opportunistic infections/second...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055976/ https://www.ncbi.nlm.nih.gov/pubmed/35505698 http://dx.doi.org/10.7759/cureus.23687 |
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author | Kurra, Nithin Woodard, Priyanka Isaac Gandrakota, Nikhila Gandhi, Heli Polisetty, Srinivasa Rao Ang, Song Peng Patel, Kinjalben P Chitimalla, Vishwaj Ali Baig, Mirza M Samudrala, Gayathri |
author_facet | Kurra, Nithin Woodard, Priyanka Isaac Gandrakota, Nikhila Gandhi, Heli Polisetty, Srinivasa Rao Ang, Song Peng Patel, Kinjalben P Chitimalla, Vishwaj Ali Baig, Mirza M Samudrala, Gayathri |
author_sort | Kurra, Nithin |
collection | PubMed |
description | The prevalence, incidence, and characteristics of bacterial infections in patients infected with severe acute respiratory syndrome coronavirus 2 are not well understood and have been raised as an important knowledge gap. Therefore, our study focused on the most common opportunistic infections/secondary infections/superinfections in coronavirus disease 2019 (COVID-19) patients. This systematic review and meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Eligible studies were identified using PubMed/Medline since inception to June 25, 2021. Studies meeting the inclusion criteria were selected. Statistical analysis was conducted in Review Manager 5.4.1. A random-effect model was used when heterogeneity was seen to pool the studies, and the result was reported as inverse variance and the corresponding 95% confidence interval. We screened 701 articles comprising 22 cohort studies which were included for analysis. The pooled prevalence of opportunistic infections/secondary infections/superinfections was 16% in COVID-19 patients. The highest prevalence of secondary infections was observed among viruses at 33%, followed by bacteria at 16%, fungi at 6%, and 25% among the miscellaneous group/wrong outcome. Opportunistic infections are more prevalent in critically ill patients. The isolated pathogens included Epstein-Barr virus, Pseudomonas aeruginosa, Escherichia coli, Acinetobacter baumannii, Hemophilus influenza, and invasive pulmonary aspergillosis. Large-scale studies are required to better identify opportunistic/secondary/superinfections in COVID-19 patients. |
format | Online Article Text |
id | pubmed-9055976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-90559762022-05-02 Opportunistic Infections in COVID-19: A Systematic Review and Meta-Analysis Kurra, Nithin Woodard, Priyanka Isaac Gandrakota, Nikhila Gandhi, Heli Polisetty, Srinivasa Rao Ang, Song Peng Patel, Kinjalben P Chitimalla, Vishwaj Ali Baig, Mirza M Samudrala, Gayathri Cureus Internal Medicine The prevalence, incidence, and characteristics of bacterial infections in patients infected with severe acute respiratory syndrome coronavirus 2 are not well understood and have been raised as an important knowledge gap. Therefore, our study focused on the most common opportunistic infections/secondary infections/superinfections in coronavirus disease 2019 (COVID-19) patients. This systematic review and meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Eligible studies were identified using PubMed/Medline since inception to June 25, 2021. Studies meeting the inclusion criteria were selected. Statistical analysis was conducted in Review Manager 5.4.1. A random-effect model was used when heterogeneity was seen to pool the studies, and the result was reported as inverse variance and the corresponding 95% confidence interval. We screened 701 articles comprising 22 cohort studies which were included for analysis. The pooled prevalence of opportunistic infections/secondary infections/superinfections was 16% in COVID-19 patients. The highest prevalence of secondary infections was observed among viruses at 33%, followed by bacteria at 16%, fungi at 6%, and 25% among the miscellaneous group/wrong outcome. Opportunistic infections are more prevalent in critically ill patients. The isolated pathogens included Epstein-Barr virus, Pseudomonas aeruginosa, Escherichia coli, Acinetobacter baumannii, Hemophilus influenza, and invasive pulmonary aspergillosis. Large-scale studies are required to better identify opportunistic/secondary/superinfections in COVID-19 patients. Cureus 2022-03-31 /pmc/articles/PMC9055976/ /pubmed/35505698 http://dx.doi.org/10.7759/cureus.23687 Text en Copyright © 2022, Kurra et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Internal Medicine Kurra, Nithin Woodard, Priyanka Isaac Gandrakota, Nikhila Gandhi, Heli Polisetty, Srinivasa Rao Ang, Song Peng Patel, Kinjalben P Chitimalla, Vishwaj Ali Baig, Mirza M Samudrala, Gayathri Opportunistic Infections in COVID-19: A Systematic Review and Meta-Analysis |
title | Opportunistic Infections in COVID-19: A Systematic Review and Meta-Analysis |
title_full | Opportunistic Infections in COVID-19: A Systematic Review and Meta-Analysis |
title_fullStr | Opportunistic Infections in COVID-19: A Systematic Review and Meta-Analysis |
title_full_unstemmed | Opportunistic Infections in COVID-19: A Systematic Review and Meta-Analysis |
title_short | Opportunistic Infections in COVID-19: A Systematic Review and Meta-Analysis |
title_sort | opportunistic infections in covid-19: a systematic review and meta-analysis |
topic | Internal Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055976/ https://www.ncbi.nlm.nih.gov/pubmed/35505698 http://dx.doi.org/10.7759/cureus.23687 |
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