2022
DOI: 10.1017/s0950268822001704
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Snapshot of COVID-19 superinfections in Marseille hospitals: where are the common pathogens?

Abstract: Episodes of bacterial superinfections have been well identified for several respiratory viruses, notably influenza. In this retrospective study, we compared the frequency of superinfections in COVID-19 patients to those found in influenza-positive patients, and to controls without viral infection. We included 42,468 patients who had been diagnosed with 261 subjects who had tested Covid-19 negative between 26 February 2020 and 1 May 2021. In addition, 4,059 patients were included who had tested positive for … Show more

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Cited by 4 publications
(2 citation statements)
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“…The COVID-19 patients had a higher prevalence of HA-BSIs, overall 72.2% vs. 48.2% and 39.5% in non-COVID-19 and influenza patient controls, respectively. Among these, P. aeruginosa BSI was significantly more common in non-COVID-19 patients than in controls ( p = 0.002), both in medicine wards and in ICUs, and it was more common in the respiratory samples than in blood ones [ 62 ]. In addition, Meschiari et al noticed a reduction in the prevalence of P. aeruginosa susceptible strains during the pandemic [ 63 ].…”
Section: Resultsmentioning
confidence: 99%
“…The COVID-19 patients had a higher prevalence of HA-BSIs, overall 72.2% vs. 48.2% and 39.5% in non-COVID-19 and influenza patient controls, respectively. Among these, P. aeruginosa BSI was significantly more common in non-COVID-19 patients than in controls ( p = 0.002), both in medicine wards and in ICUs, and it was more common in the respiratory samples than in blood ones [ 62 ]. In addition, Meschiari et al noticed a reduction in the prevalence of P. aeruginosa susceptible strains during the pandemic [ 63 ].…”
Section: Resultsmentioning
confidence: 99%
“…Our laboratory has extensively and continuously screened SARS-CoV-2 infections by real-time reverse transcription-polymerase chain reaction (RT-PCR) and performed SARS-CoV-2 genotyping since February 2020, when the virus emerged in France, making it possible to calculate the rate of reinfection during the whole pandemic period (Table S1). 1,4,6,7 A computerized alert based on our laboratory information system was applied to identify patients reinfected with Omicron BA.4 or BA.5. Criteria for defining reinfections are described in Table 1.…”
mentioning
confidence: 99%