COVID-19 in pulmonary critically ill patients: metagenomic identification of fungi and characterization of pathogenic microorganisms
Changjun Huang,
Siyuan Chang,
Rui Ma
et al.
Abstract:BackgroundFungal co-infection is prevalent in critically ill patients with COVID-19. The conventional approach applied to fungal identification has relatively low sensitivity and is time-consuming. The metagenomic next-generation sequencing (mNGS) technology can simultaneously detect a variety of microorganisms, and is increasingly being used for the rapid detection and diagnosis of pathogens.MethodsIn this single-center retrospective study, we described the clinical presentation and outcomes of COVID-19 and m… Show more
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