2022
DOI: 10.3892/etm.2022.11510
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Early detection of gram‑negative bacteria using metagenomic next‑generation sequencing in acute respiratory distress syndrome: A case report

Abstract: Metagenomic next-generation sequencing (mNGS) is an effective method that can be used for the identification of early pathogens in patients with suspected severe pneumonia. However, the potential of mNGS for evaluating the prognosis of acute respiratory distress syndrome (ARDS) in patients with severe pneumonia remains unclear. In the present report, hospital-acquired gram-negative bacteria infections were detected in a case using metagenomic next-generation sequencing (mNGS) in a sample of bronchoalveolar flu… Show more

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“…Various studies have proved the clinical value of mNGS for acute infectious patients. Some studies discussed the application of mNGS in acute viral encephalitis (Cao and Zhu, 2020 ), acute respiratory distress syndrome (Zhang et al, 2021 ; Wang et al, 2022 ), acute respiratory distress syndrome (Zhang et al, 2023 ) and other acute infectious diseases, demonstrating that mNGS is a promising tool for the diagnosis of acute disease caused by multiple infectious agents. mNGS represents a valuable supplementary tool to CM in order to rapidly determine etiological factors of various infections and guide treatment decision- making for patients (Xu et al, 2023 ).…”
Section: Discussionmentioning
confidence: 99%
“…Various studies have proved the clinical value of mNGS for acute infectious patients. Some studies discussed the application of mNGS in acute viral encephalitis (Cao and Zhu, 2020 ), acute respiratory distress syndrome (Zhang et al, 2021 ; Wang et al, 2022 ), acute respiratory distress syndrome (Zhang et al, 2023 ) and other acute infectious diseases, demonstrating that mNGS is a promising tool for the diagnosis of acute disease caused by multiple infectious agents. mNGS represents a valuable supplementary tool to CM in order to rapidly determine etiological factors of various infections and guide treatment decision- making for patients (Xu et al, 2023 ).…”
Section: Discussionmentioning
confidence: 99%