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Diagnosing sepsis in the ICU: Comparison of a gene expression signature to pre-existing biomarkers.
Denny, Kerina J; Lea, Rodney A; Lindell-Innes, Ross; Haupt, Larisa M; Heffernan, Aaron J; Harvey, Nicholas R; Hughes, Oliver; Cao, Van T; Stuart, Janine; Paterson, David L; McNamara, John F; Ungerer, Jacobus P J; Pretorius, Carel J; Griffiths, Lyn R; Lipman, Jeffrey.
Afiliação
  • Denny KJ; Department of Intensive Care, Gold Coast University Hospital, Southport, Queensland, Australia; University of Queensland, St Lucia, Queensland, Australia. Electronic address: kerina.denny@gmail.com.
  • Lea RA; Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology, Queensland, Australia.
  • Lindell-Innes R; Department of Haematology, Canberra Hospital, Woden, Canberra, Australia; John Curtin School of Medical Research, Australian National University, Australia.
  • Haupt LM; Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology, Queensland, Australia; ARC Training Centre for Cell and Tissue Engineering Technologies, Queensland University of Technology, Australia; Max Planck Queensland Ce
  • Heffernan AJ; School of Medicine and Dentistry, Griffith University, Southport, Queensland, Australia.
  • Harvey NR; Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology, Queensland, Australia; Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom.
  • Hughes O; Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology, Queensland, Australia.
  • Cao VT; Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology, Queensland, Australia.
  • Stuart J; Intensive Care Services, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.
  • Paterson DL; University of Queensland Centre for Clinical Research, Royal Brisbane and Women's Hospital Campus, Brisbane, Australia; ADVANCE-ID, Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
  • McNamara JF; University of Queensland, St Lucia, Queensland, Australia; Department of Infectious Diseases, The Prince Charles Hospital, Chermside, Queensland, Australia.
  • Ungerer JPJ; Department of Chemical Pathology, Pathology Queensland, Herston, Queensland, Australia; School of Biomedical Science, University of Queensland, Brisbane, Australia.
  • Pretorius CJ; Department of Chemical Pathology, Pathology Queensland, Herston, Queensland, Australia; School of Biomedical Science, University of Queensland, Brisbane, Australia.
  • Griffiths LR; Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology, Queensland, Australia.
  • Lipman J; Intensive Care Services, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia; Jaimeson Trauma Institute, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia; Nimes University Hospital, University of Montpellier, Nimes, France.
J Crit Care ; 76: 154286, 2023 08.
Article em En | MEDLINE | ID: mdl-36965223
PURPOSE: We aimed to identify a gene signature that discriminates between sepsis and aseptic inflammation in patients administered antibiotics in the intensive care unit and compare it to commonly utilised sepsis biomarkers. METHODS: 91 patients commenced on antibiotics were retrospectively diagnosed as having: (i) blood culture positive sepsis; (ii) blood culture negative sepsis; or (iii) aseptic inflammation. Bloods were collected after <24 h of antibiotic commencement for both gene expression sequencing analysis and measurement of previously identified biomarkers. RESULTS: 53 differentially expressed genes were identified that accurately discriminated between blood culture positive sepsis and aseptic inflammation in a cohort of patients given antibiotics [aROC 0.97 (95% CI, 0.95-0.99)]. This gene signature was validated in a publicly available database. The gene signature outperformed previously identified sepsis biomarkers including C-reactive protein [aROC 0.72 (95% CI, 0.57-0.87)], NT-Pro B-type Natriuretic Peptide [aROC 0.84 (95% CI, 0.73-0.96)], and Septicyte™ LAB [aROC 0.8 (95% CI, 0.68-0.93)], but was comparable to Procalcitonin [aROC 0.96 (95% CI, 0.9-1)]. CONCLUSIONS: A gene expression signature was identified that accurately discriminates between sepsis and aseptic inflammation in patients given antibiotics in the intensive care unit.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sepse / Transcriptoma Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: J Crit Care Assunto da revista: TERAPIA INTENSIVA Ano de publicação: 2023 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sepse / Transcriptoma Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: J Crit Care Assunto da revista: TERAPIA INTENSIVA Ano de publicação: 2023 Tipo de documento: Article País de publicação: Estados Unidos