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Phene Plate (PhP) biochemical fingerprinting : a screening method for epidemiological typing of enterococcal isolates?

Saeedi, Baharak, 1972- (author)
Linköpings universitet,Klinisk mikrobiologi,Hälsouniversitetet
Tärnberg, Maria (author)
Linköpings universitet,Klinisk mikrobiologi,Hälsouniversitetet
Gill, Hans, 1944- (author)
Linköpings universitet,Institutionen för medicinsk teknik,Tekniska högskolan
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Hällgren, Anita, 1963- (author)
Linköpings universitet,Klinisk mikrobiologi,Hälsouniversitetet
Jonasson, Jon, 1942- (author)
Linköpings universitet,Klinisk mikrobiologi,Hälsouniversitetet
Nilsson, Lennart, 1949- (author)
Linköpings universitet,Klinisk mikrobiologi,Hälsouniversitetet
Isaksson, Barbro, 1947- (author)
Linköpings universitet,Klinisk mikrobiologi,Hälsouniversitetet
Kühn, I. (author)
Karolinska Institutet
Hanberger, Håkan, 1954- (author)
Linköpings universitet,Infektionsmedicin,Hälsouniversitetet
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 (creator_code:org_t)
Wiley, 2005
2005
English.
In: Acta Pathologica, Microbiologica et Immunologica Scandinavica (APMIS). - : Wiley. - 0903-4641 .- 1600-0463. ; 113:9, s. 603-612
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Pulsed-field gel electrophoresis (PFGE) is currently considered the gold standard for genotyping of enterococci. However, PFGE is both expensive and time-consuming. The purpose of this study was to investigate whether the PhP system can be used as a reliable clinical screening method for detection of genetically related isolates of enterococci. If so, it should be possible to minimize the number of isolates subjected to PFGE typing, which would save time and money. Ninety-nine clinical enterococcal isolates were analysed by PhP (similarity levels 0.90–0.975) and PFGE (similarity levels ≤3 and ≤6 bands) and all possible pairs of isolates were cross-classified as matched or mismatched. We found that the probability that a pair of isolates (A and B) belonging to the same type according to PhP also belong to the same cluster according to PFGE, i.e. p(APFGE=BPFGE • APhP=BPhP), and the probability that a pair of isolates of different types according to PhP also belong to different clusters according to PFGE, i.e. p(APFGE≠BPFGE • APhP≠BPhP), was relatively high for E. faecalis (0.86 and 0.96, respectively), but was lower for E. faecium (0.51 and 0.77, respectively). The concordance which shows the probability that PhP and PFGE agree on match or mismatch was 86%–93% for E. faecalis and 54%–66% for E. faecium, which indicates that the PhP method may be useful for epidemiological typing of E. faecalis in the current settings but not for E. faecium.

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