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Random effects meta-analysis of COVID-19/S. aureus partnership in co-infection
Aim: To assess the hypothesis that coinfection with SARS-CoV-2 and S. aureus exacerbates morbidity and mortality among patients, the study aims to report the pooled burden of S. aureus co-infections in patients hospitalized with COVID-19. Methods: We searched electronic databases and the bibliograph...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
German Medical Science GMS Publishing House
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709160/ https://www.ncbi.nlm.nih.gov/pubmed/33299742 http://dx.doi.org/10.3205/dgkh000364 |
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author | Adeiza, Suleiman Shuaibu Shuaibu, Abdulmalik Bello Shuaibu, Gazali Mohammed |
author_facet | Adeiza, Suleiman Shuaibu Shuaibu, Abdulmalik Bello Shuaibu, Gazali Mohammed |
author_sort | Adeiza, Suleiman Shuaibu |
collection | PubMed |
description | Aim: To assess the hypothesis that coinfection with SARS-CoV-2 and S. aureus exacerbates morbidity and mortality among patients, the study aims to report the pooled burden of S. aureus co-infections in patients hospitalized with COVID-19. Methods: We searched electronic databases and the bibliographies of pertinent papers for articles. We considered studies in which the core result was the number of patients with bacterial (S. aureus) co-infection. We performed random effects meta-analysis (REM) because the studies included were sampled from a universe of different populations and high heterogeneity was anticipated. Using the Cochran’s Q statistic, the observed dispersion (heterogeneity) among effect sizes was assessed. The percentage of total variability in the estimates of the effect size was calculated with the I(2) index. To check for publication bias, the Egger weighted regression, Begg rank correlation and meta-funnel plot were used. We conducted meta-regression analysis to evaluate the variability between our outcomes and the covariates using computational options such as “methods of moments” and then “maximum likelihood” ratio. Results: We included 18 studies and retrieved data for 63,370 patients hospitalized with influenza-like illness, of which about 14,369 (22.67%) tested positive for COVID-19 by rRT-PCR. Of this number, 8,249 (57.4%) patient samples were analyzed. Bacterial, fungal and viral agents were detected in 3,038 (36.8%); S. aureus in 1,192 (39.2%). Five studies reported MRSA co-infection. Study quality ranged from 6 to 9 (median 7.1) on a JBI scale. From the meta-analysis, 33.1% patients were found to be coinfected (95%, CI 18.0 to 52.6%, Q=3473: df=17, I(2)=99·48%, p=0.00). The rate of S. aureus /COVID-19 co-infection was 25.6% (95% CI: 15.6 to 39.0, Q=783.4, df=17, I(2)=97.702%, p=0.003).The proportion of COVID-19/S. aureus co-infected patients with MRSA was 53.9% (95% CI, 24.5 to 80.9, n=66, 5 studies, Q=29.32, df=4, I(2)=86.369%, p=0.000). With the multivariate meta-regression model, study type (p=0.029), quality (p=0.000) and country (p=0.000) were significantly associated with heterogeneity. Conclusions: The pooled rates of S. aureus among COVID-19 patients documented in this study support the concern of clinicians about the presence of S. aureus in co-infections. Improved antibiotic stewardship can be accomplished through rapid diagnosis by longitudinal sampling of patients. |
format | Online Article Text |
id | pubmed-7709160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | German Medical Science GMS Publishing House |
record_format | MEDLINE/PubMed |
spelling | pubmed-77091602020-12-08 Random effects meta-analysis of COVID-19/S. aureus partnership in co-infection Adeiza, Suleiman Shuaibu Shuaibu, Abdulmalik Bello Shuaibu, Gazali Mohammed GMS Hyg Infect Control Article Aim: To assess the hypothesis that coinfection with SARS-CoV-2 and S. aureus exacerbates morbidity and mortality among patients, the study aims to report the pooled burden of S. aureus co-infections in patients hospitalized with COVID-19. Methods: We searched electronic databases and the bibliographies of pertinent papers for articles. We considered studies in which the core result was the number of patients with bacterial (S. aureus) co-infection. We performed random effects meta-analysis (REM) because the studies included were sampled from a universe of different populations and high heterogeneity was anticipated. Using the Cochran’s Q statistic, the observed dispersion (heterogeneity) among effect sizes was assessed. The percentage of total variability in the estimates of the effect size was calculated with the I(2) index. To check for publication bias, the Egger weighted regression, Begg rank correlation and meta-funnel plot were used. We conducted meta-regression analysis to evaluate the variability between our outcomes and the covariates using computational options such as “methods of moments” and then “maximum likelihood” ratio. Results: We included 18 studies and retrieved data for 63,370 patients hospitalized with influenza-like illness, of which about 14,369 (22.67%) tested positive for COVID-19 by rRT-PCR. Of this number, 8,249 (57.4%) patient samples were analyzed. Bacterial, fungal and viral agents were detected in 3,038 (36.8%); S. aureus in 1,192 (39.2%). Five studies reported MRSA co-infection. Study quality ranged from 6 to 9 (median 7.1) on a JBI scale. From the meta-analysis, 33.1% patients were found to be coinfected (95%, CI 18.0 to 52.6%, Q=3473: df=17, I(2)=99·48%, p=0.00). The rate of S. aureus /COVID-19 co-infection was 25.6% (95% CI: 15.6 to 39.0, Q=783.4, df=17, I(2)=97.702%, p=0.003).The proportion of COVID-19/S. aureus co-infected patients with MRSA was 53.9% (95% CI, 24.5 to 80.9, n=66, 5 studies, Q=29.32, df=4, I(2)=86.369%, p=0.000). With the multivariate meta-regression model, study type (p=0.029), quality (p=0.000) and country (p=0.000) were significantly associated with heterogeneity. Conclusions: The pooled rates of S. aureus among COVID-19 patients documented in this study support the concern of clinicians about the presence of S. aureus in co-infections. Improved antibiotic stewardship can be accomplished through rapid diagnosis by longitudinal sampling of patients. German Medical Science GMS Publishing House 2020-11-27 /pmc/articles/PMC7709160/ /pubmed/33299742 http://dx.doi.org/10.3205/dgkh000364 Text en Copyright © 2020 Adeiza et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Adeiza, Suleiman Shuaibu Shuaibu, Abdulmalik Bello Shuaibu, Gazali Mohammed Random effects meta-analysis of COVID-19/S. aureus partnership in co-infection |
title | Random effects meta-analysis of COVID-19/S. aureus partnership in co-infection |
title_full | Random effects meta-analysis of COVID-19/S. aureus partnership in co-infection |
title_fullStr | Random effects meta-analysis of COVID-19/S. aureus partnership in co-infection |
title_full_unstemmed | Random effects meta-analysis of COVID-19/S. aureus partnership in co-infection |
title_short | Random effects meta-analysis of COVID-19/S. aureus partnership in co-infection |
title_sort | random effects meta-analysis of covid-19/s. aureus partnership in co-infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709160/ https://www.ncbi.nlm.nih.gov/pubmed/33299742 http://dx.doi.org/10.3205/dgkh000364 |
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