Ontology type: schema:ScholarlyArticle Open Access: True
2018-06-30
AUTHORSMarianna Parlato, François Philippart, Alexandra Rouquette, Virginie Moucadel, Virginie Puchois, Sophie Blein, Jean-Pierre Bedos, Jean-Luc Diehl, Olfa Hamzaoui, Djillali Annane, Didier Journois, Myriam Ben Boutieb, Laurent Estève, Catherine Fitting, Jean-Marc Treluyer, Alexandre Pachot, Minou Adib-Conquy, Jean-Marc Cavaillon, Benoît Misset, The Captain Study Group
ABSTRACTPurposeSepsis and non-septic systemic inflammatory response syndrome (SIRS) are the same syndromes, differing by their cause, sepsis being secondary to microbial infection. Microbiological tests are not enough to detect infection early. While more than 50 biomarkers have been proposed to detect infection, none have been repeatedly validated.AimTo assess the accuracy of circulating biomarkers to discriminate between sepsis and non-septic SIRS.MethodsThe CAPTAIN study was a prospective observational multicenter cohort of 279 ICU patients with hypo- or hyperthermia and criteria of SIRS, included at the time the attending physician considered antimicrobial therapy. Investigators collected blood at inclusion to measure 29 plasma compounds and ten whole blood RNAs, and—for those patients included within working hours—14 leukocyte surface markers. Patients were classified as having sepsis or non-septic SIRS blindly to the biomarkers results. We used the LASSO method as the technique of multivariate analysis, because of the large number of biomarkers.ResultsDuring the study period, 363 patients with SIRS were screened, 84 having exclusion criteria. Ninety-one patients were classified as having non-septic SIRS and 188 as having sepsis. Eight biomarkers had an area under the receiver operating curve (ROC-AUC) over 0.6 with a 95% confidence interval over 0.5. LASSO regression identified CRP and HLA-DRA mRNA as being repeatedly associated with sepsis, and no model performed better than CRP alone (ROC-AUC 0.76 [0.68–0.84]).ConclusionsThe circulating biomarkers tested were found to discriminate poorly between sepsis and non-septic SIRS, and no combination performed better than CRP alone. More... »
PAGES1061-1070
http://scigraph.springernature.com/pub.10.1007/s00134-018-5228-3
DOIhttp://dx.doi.org/10.1007/s00134-018-5228-3
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1105213984
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/29959455
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]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00134-018-5228-3'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00134-018-5228-3'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00134-018-5228-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00134-018-5228-3'
This table displays all metadata directly associated to this object as RDF triples.
386 TRIPLES
22 PREDICATES
115 URIs
97 LITERALS
18 BLANK NODES