Abstract

Aim: COVID-19 /S. aureus coinfection exacerbates morbidity and mortality among patients with coronavirus infection. This study aims to report the pooled burden of S. aureus co-infections in patients hospitalized with COVID-19. Methods: We searched electronic databases and bibliography of pertinent papers for articles. We considered studies that 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 I2 index. To check for publication bias; Egger weighted regression, Begg rank correlation and meta-funnel plot was used. We conducted meta-regression analysis to evaluate the variability between our outcomes and the covariates using computational options like “methods of moments” and then “maximum likelihood” ratio. Results: We included Eighteen studies and retrieved data for 63,370 patients hospitalized with influenza-like-illness, 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 coinfected (95%, CI 18.0 to 52.6%, Q=3473: df =17, I2 =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, I²=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, I²=86.369%, p=0.000). With 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 supports the apprehensiveness of clinicians concerning the extent of the bacteria in co-infections. Improved antibiotic stewardship can be accomplished through rapid diagnosis by longitudinal sampling of patients.

Highlights

  • The morbidity and mortality rate associated with COVID19 is not unrelated to co-infections with bacterial pathogens [1]

  • This study aims to address this issue by conducting a meta-analysis to determine the burden of S. aureus co-infections in patients hospitalized with COVID-19

  • All included studies reported on S. aureus/COVID19 co-infection amongst hospitalized patients

Read more

Summary

Introduction

The morbidity and mortality rate associated with COVID19 is not unrelated to co-infections with bacterial pathogens [1]. Respiratory and blood culture studies of hospitalized patients with severe acute respiratory coronavirus 2 (SARS-CoV-2) have shown that bacterial infections rather than the direct effects of the virus have resulted in a number of recorded fatalities [2]. The bacteria have been associated with secondary staphylococcal pneumonia following COVID-19 infection [6], [7]. Previous studies investigated the frequency of selected bacterial species in COVID-19 cases [9] and the overall extent of co-infection [10], the pooled rate of S. aureus among hospitalized COVID-19 patients is largely undocumented. This study aims to address this issue by conducting a meta-analysis to determine the burden of S. aureus co-infections in patients hospitalized with COVID-19. Knowledge about specific etiological agents may reduce the strain on the resources of healthcare systems worldwide and lead to more appropriate treatment and medication, as well as shorter hospitalization

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call