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PCR for the detection of pathogens in neonatal early onset sepsis.

Oeser, C; Pond, M; Butcher, P; Bedford Russell, A; Henneke, P; Laing, K; Planche, T; Heath, PT; Harris, K (2020) PCR for the detection of pathogens in neonatal early onset sepsis. PLoS One, 15 (1). e0226817. ISSN 1932-6203 https://doi.org/10.1371/journal.pone.0226817
SGUL Authors: Butcher, Philip David Planche, Timothy David

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Abstract

BACKGROUND: A large proportion of neonates are treated for presumed bacterial sepsis with broad spectrum antibiotics even though their blood cultures subsequently show no growth. This study aimed to investigate PCR-based methods to identify pathogens not detected by conventional culture. METHODS: Whole blood samples of 208 neonates with suspected early onset sepsis were tested using a panel of multiplexed bacterial PCRs targeting Streptococcus pneumoniae, Streptococcus agalactiae (GBS), Staphylococcus aureus, Streptococcus pyogenes (GAS), Enterobacteriaceae, Enterococcus faecalis, Enterococcus faecium, Ureaplasma parvum, Ureaplasma urealyticum, Mycoplasma hominis and Mycoplasma genitalium, a 16S rRNA gene broad-range PCR and a multiplexed PCR for Candida spp. RESULTS: Two-hundred and eight samples were processed. In five of those samples, organisms were detected by conventional culture; all of those were also identified by PCR. PCR detected bacteria in 91 (45%) of the 203 samples that did not show bacterial growth in culture. S. aureus, Enterobacteriaceae and S. pneumoniae were the most frequently detected pathogens. A higher bacterial load detected by PCR was correlated positively with the number of clinical signs at presentation. CONCLUSION: Real-time PCR has the potential to be a valuable additional tool for the diagnosis of neonatal sepsis.

Item Type: Article
Additional Information: © 2020 Oeser et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: MD Multidisciplinary, General Science & Technology
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: PLoS One
ISSN: 1932-6203
Language: eng
Dates:
DateEvent
24 January 2020Published
5 December 2019Accepted
Publisher License: Creative Commons: Attribution 4.0
PubMed ID: 31978082
Go to PubMed abstract
URI: http://openaccess.sgul.ac.uk/id/eprint/111608
Publisher's version: https://doi.org/10.1371/journal.pone.0226817

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