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1000 Titel
  • Optimized decision algorithm for the microbiological diagnosis of osteoarticular infections in adults using synovial fluid samples: a prospective study in two French hospitals including 423 samples of synovial fluid
1000 Autor/in
  1. Dupieux, Céline |
  2. Descours, Ghislaine |
  3. Verhoeven, Paul |
  4. Grattard, Florence |
  5. Benito, Yvonne |
  6. Vandenesch, François |
  7. Cazorla, Céline |
  8. Ferry, Tristan |
  9. Lustig, Sébastien |
  10. Boyer, Bertrand |
  11. Boisset, Sandrine |
  12. Carricajo, Anne |
  13. Laurent, Frédéric |
  14. PIRLA investigator group, |
1000 Verlag
  • Copernicus Publications
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-02-06
1000 Erschienen in
1000 Quellenangabe
  • 9(1):37-48
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/jbji-9-37-2024 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11004666/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:p>Abstract. No consensus exists about the techniques to use for microbiological diagnosis of bone and joint infections (BJIs). The objective herein was to define an algorithm to optimize BJI diagnosis in adults using various bacteriological methods on synovial fluid samples. This prospective multi-center study included 423 synovial fluids collected from adult patients with suspected BJIs. Culture (using five solid media, an enrichment broth, and blood culture bottles), universal 16S rRNA PCR followed by Sanger sequencing, and seven specific bacterial PCRs were systematically performed. Combinations of methods were compared to arrive at the optimized algorithm. Among 423 synovial fluids, 242 infections were diagnosed (57.2 %): 213 mono- and 29 poly-microbial for a total of 284 bacteria (staphylococci at 54.6 %, streptococci–enterococci at 16.5 %, Gram-negative bacilli at 15.5 %, anaerobic species at 8.8 %). Comparing culture techniques, blood culture bottles had the highest sensitivity (67.6 % for pediatric and 63.9 % for anaerobic bottles) but are not sufficient alone and require being combined with solid media. The 16S rDNA PCR detected only 52.3 % of the bacteria, whereas specific PCRs had a higher sensitivity (Staphylococcus spp. at 66.2 %, S. aureus at 85.2 %, Streptococcus spp. at 91.2 %). Based on these results, an algorithm was proposed associating three solid media; inoculation into blood culture bottles; and 16S, Staphylococcus spp., and Streptococcus spp. PCRs, which would have detected 90.5 % of bacteria in the present cohort versus 79.2 % using all culture techniques on synovial fluid. This prospective study shows that a combination of culture and molecular methods on synovial fluids allows the optimization of bacterial detection. </jats:p>
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/RHVwaWV1eCwgQ8OpbGluZQ==|https://frl.publisso.de/adhoc/uri/RGVzY291cnMsIEdoaXNsYWluZQ==|https://frl.publisso.de/adhoc/uri/VmVyaG9ldmVuLCBQYXVs|https://frl.publisso.de/adhoc/uri/R3JhdHRhcmQsIEZsb3JlbmNl|https://frl.publisso.de/adhoc/uri/QmVuaXRvLCBZdm9ubmU=|https://frl.publisso.de/adhoc/uri/VmFuZGVuZXNjaCwgRnJhbsOnb2lz|https://frl.publisso.de/adhoc/uri/Q2F6b3JsYSwgQ8OpbGluZQ==|https://frl.publisso.de/adhoc/uri/RmVycnksIFRyaXN0YW4=|https://frl.publisso.de/adhoc/uri/THVzdGlnLCBTw6liYXN0aWVu|https://frl.publisso.de/adhoc/uri/Qm95ZXIsIEJlcnRyYW5k|https://frl.publisso.de/adhoc/uri/Qm9pc3NldCwgU2FuZHJpbmU=|https://frl.publisso.de/adhoc/uri/Q2FycmljYWpvLCBBbm5l|https://frl.publisso.de/adhoc/uri/TGF1cmVudCwgRnLDqWTDqXJpYw==|https://frl.publisso.de/adhoc/uri/UElSTEEgaW52ZXN0aWdhdG9yIGdyb3VwLCA=
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1000 Förderer
  1. Ministère des Solidarités et de la Santé |
1000 Fördernummer
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1000 Förderprogramm
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1000 Dateien
1000 Förderung
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    1000 Förderer Ministère des Solidarités et de la Santé |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6480783.rdf
1000 Erstellt am 2024-05-23T16:49:14.682+0200
1000 Erstellt von 322
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1000 Zuletzt bearbeitet 2024-05-27T10:39:41.312+0200
1000 Objekt bearb. Mon May 27 10:39:41 CEST 2024
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