2021
DOI: 10.1016/j.jmoldx.2021.06.007
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Clinical Impact of Metagenomic Next-Generation Sequencing of Bronchoalveolar Lavage in the Diagnosis and Management of Pneumonia

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Cited by 54 publications
(46 citation statements)
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“… 17 MALDI-TOF MS can quickly and accurately identify strains, and high-throughput sequencing technology also has unique advantages in etiological diagnosis. 18 Drug sensitivity test was important in antibiotic selection. This was an important defect of this study.…”
Section: Discussionmentioning
confidence: 99%
“… 17 MALDI-TOF MS can quickly and accurately identify strains, and high-throughput sequencing technology also has unique advantages in etiological diagnosis. 18 Drug sensitivity test was important in antibiotic selection. This was an important defect of this study.…”
Section: Discussionmentioning
confidence: 99%
“…ENNGS recommended > 10 million reads per sample for virus diagnostics due to the generally low proportion of viral reads in clinical samples [33] . For the diagnosis of LRIs, the sequencing depth varied from 2 to 25 million reads has been reported [14] , [27] , [66] , [67] . At the sequencing depth of 20 million read pairs for each sample, Chen et al evaluated the clinical utility of laboratory-developed mNGS tests for the diagnosis of LRIs and analysis of the host immune response [14] .…”
Section: Challenges Of Mngs For Lower Respiratory Infectionmentioning
confidence: 99%
“…The timely and accurate initiation of anti-infective treatment is vital to the clinical outcomes, which depends on the rapid and accurate pathogen identification. In real-world clinical practice, conventional detection methods (CDM) have a lower sensitivity and a relatively long turn-around time for detecting opportunistic pathogens such as Pneumocystis jirovecii, mycobacteria, Nocardia spp., fungi, and other atypical pathogens (5)(6)(7). Moreover, it is difficult to distinguish non-infectious diseases from infections because the clinical manifestations and radiologic characteristics are non-specific in LTRs (8)(9)(10).…”
Section: Introductionmentioning
confidence: 99%