PCR for the detection of pathogens in neonatal early onset sepsis
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
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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PLOS ONE. - 15, 1 (2020) , e0226817, ISSN: 1932-6203
- Event
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Veröffentlichung
- (where)
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Freiburg
- (who)
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Universität
- (when)
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2020
- Creator
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Oeser, Clarissa
Pond, Marcus
Butcher, Philip
Bedford Russell, Alison
Henneke, Philipp
Laing, Ken
Planche, Timothy
Heath, Paul T.
Harris, Kathryn
- DOI
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10.1371/journal.pone.0226817
- URN
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urn:nbn:de:bsz:25-freidok-1664484
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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25.03.2025, 1:46 PM CET
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Oeser, Clarissa
- Pond, Marcus
- Butcher, Philip
- Bedford Russell, Alison
- Henneke, Philipp
- Laing, Ken
- Planche, Timothy
- Heath, Paul T.
- Harris, Kathryn
- Universität
Time of origin
- 2020
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