Journal of clinical microbiology
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J. Clin. Microbiol. · Nov 2014
Single-molecule long-read 16S sequencing to characterize the lung microbiome from mechanically ventilated patients with suspected pneumonia.
In critically ill patients, the development of pneumonia results in significant morbidity and mortality and additional health care costs. The accurate and rapid identification of the microbial pathogens in patients with pulmonary infections might lead to targeted antimicrobial therapy with potentially fewer adverse effects and lower costs. Major advances in next-generation sequencing (NGS) allow culture-independent identification of pathogens. ⋯ Overall, a significant diversity of bacterial species was identified from the same genus as the predominant cultured pathogens. The numbers of NGS-identifiable bacterial genera were consistently higher than identified by standard microbiological methods. As technical advances reduce the processing and sequencing times, NGS-based methods will ultimately be able to provide clinicians with rapid, precise, culture-independent identification of bacterial, fungal, and viral pathogens and their antimicrobial sensitivity profiles.
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J. Clin. Microbiol. · Nov 2014
Comparative StudyClinical evaluation of multiple inflammation biomarkers for diagnosis and prognosis for patients with systemic inflammatory response syndrome.
A multiplexed biomarker bundle consisting of nine different inflammation markers was evaluated regarding their diagnostic and prognostic performances in 159 adult systemic inflammatory response syndrome (SIRS) patients enrolled at the emergency department. Fibronectin, interleukin-8 (IL-8), biotin, and neutrophil gelatinase-associated lipocalin (NGAL) were the most robust markers but were not superior to the already established markers IL-6, C-reactive protein (CRP), procalcitonin (PCT), and soluble urokinase plasminogen activator receptor (suPAR).
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J. Clin. Microbiol. · Nov 2014
Comparative StudyReassessment of genotype 1 hepatitis C virus subtype misclassification by LiPA 2.0: implications for direct-acting antiviral treatment.
The accuracy of LiPA 2.0 for hepatitis C virus 1 (HCV-1) subtype classification was analyzed. LiPA 2.0 genotype results from 101 HCV-1-infected patients were compared to genotype findings determined by direct core sequencing. Eleven (11%) samples were misclassified. Given the influence of the HCV-1-subtype in the anti-HCV therapy response, an alternative classification method is warranted.