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Early PREdiction of sepsis using leukocyte surface biomarkers: the ExPRES-sepsis cohort study.
Shankar-Hari, Manu; Datta, Deepankar; Wilson, Julie; Assi, Valentina; Stephen, Jacqueline; Weir, Christopher J; Rennie, Jillian; Antonelli, Jean; Bateman, Anthony; Felton, Jennifer M; Warner, Noel; Judge, Kevin; Keenan, Jim; Wang, Alice; Burpee, Tony; Brown, Alun K; Lewis, Sion M; Mare, Tracey; Roy, Alistair I; Wright, John; Hulme, Gillian; Dimmick, Ian; Gray, Alasdair; Rossi, Adriano G; Simpson, A John; Conway Morris, Andrew; Walsh, Timothy S.
Afiliação
  • Shankar-Hari M; School of Immunology & Microbial Sciences, Kings College, London, UK. manu.shankar-hari@kcl.ac.uk.
  • Datta D; Guy's and St Thomas' NHS Foundation Trust, London, SE17EH, UK. manu.shankar-hari@kcl.ac.uk.
  • Wilson J; MRC Centre for Inflammation Research, University of Edinburgh, 47 Little France Crescent, Edinburgh, UK.
  • Assi V; School of Immunology & Microbial Sciences, Kings College, London, UK.
  • Stephen J; Guy's and St Thomas' NHS Foundation Trust, London, SE17EH, UK.
  • Weir CJ; Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Rennie J; Edinburgh Clinical Trials Unit, University of Edinburgh, Edinburgh, UK.
  • Antonelli J; Edinburgh Clinical Trials Unit, University of Edinburgh, Edinburgh, UK.
  • Bateman A; Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Felton JM; Edinburgh Clinical Trials Unit, University of Edinburgh, Edinburgh, UK.
  • Warner N; MRC Centre for Inflammation Research, University of Edinburgh, 47 Little France Crescent, Edinburgh, UK.
  • Judge K; Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Keenan J; Department of Anaesthesia, Critical Care & Pain Medicine, University of Edinburgh, Edinburgh, UK.
  • Wang A; MRC Centre for Inflammation Research, University of Edinburgh, 47 Little France Crescent, Edinburgh, UK.
  • Burpee T; Becton-Dickinson Bioscience, Franklin Lakes, NJ, USA.
  • Brown AK; Integrated Critical Care Unit, Sunderland Royal Hospital, Sunderland, UK.
  • Lewis SM; Becton-Dickinson Bioscience, Franklin Lakes, NJ, USA.
  • Mare T; Integrated Critical Care Unit, Sunderland Royal Hospital, Sunderland, UK.
  • Roy AI; Becton-Dickinson Bioscience, Franklin Lakes, NJ, USA.
  • Wright J; Integrated Critical Care Unit, Sunderland Royal Hospital, Sunderland, UK.
  • Hulme G; Becton-Dickinson Bioscience, Franklin Lakes, NJ, USA.
  • Dimmick I; Integrated Critical Care Unit, Sunderland Royal Hospital, Sunderland, UK.
  • Gray A; Becton-Dickinson Bioscience, Franklin Lakes, NJ, USA.
  • Rossi AG; Integrated Critical Care Unit, Sunderland Royal Hospital, Sunderland, UK.
  • Simpson AJ; Guy's and St Thomas' NHS Foundation Trust, London, SE17EH, UK.
  • Conway Morris A; Guy's and St Thomas' NHS Foundation Trust, London, SE17EH, UK.
  • Walsh TS; Guy's and St Thomas' NHS Foundation Trust, London, SE17EH, UK.
Intensive Care Med ; 44(11): 1836-1848, 2018 Nov.
Article em En | MEDLINE | ID: mdl-30291379
ABSTRACT

PURPOSE:

Reliable biomarkers for predicting subsequent sepsis among patients with suspected acute infection are lacking. In patients presenting to emergency departments (EDs) with suspected acute infection, we aimed to evaluate the reliability and discriminant ability of 47 leukocyte biomarkers as predictors of sepsis (Sequential Organ Failure Assessment score ≥ 2 at 24 h and/or 72 h following ED presentation).

METHODS:

In a multi-centre cohort study in four EDs and intensive care units (ICUs), we standardised flow-cytometric leukocyte biomarker measurement and compared patients with suspected acute infection (cohort-1) with two comparator cohorts ICU patients with established sepsis (cohort-2), and ED patients without infection or systemic inflammation but requiring hospitalization (cohort-3).

RESULTS:

Between January 2014 and February 2016, we recruited 272, 59 and 75 patients to cohorts 1, 2, and 3, respectively. Of 47 leukocyte biomarkers, 14 were non-reliable, and 17 did not discriminate between the three cohorts. Discriminant analyses for predicting sepsis within cohort-1 were undertaken for eight neutrophil (cluster of differentiation antigens (CD) CD15; CD24; CD35; CD64; CD312; CD11b; CD274; CD279), seven monocyte (CD35; CD64; CD312; CD11b; HLA-DR; CD274; CD279) and a CD8 T-lymphocyte biomarker (CD279). Individually, only higher neutrophil CD279 [OR 1.78 (95% CI 1.23-2.57); P = 0.002], higher monocyte CD279 [1.32 (1.03-1.70); P = 0.03], and lower monocyte HLA-DR [0.73 (0.55-0.97); P = 0.03] expression were associated with subsequent sepsis. With logistic regression the optimum biomarker combination was increased neutrophil CD24 and neutrophil CD279, and reduced monocyte HLA-DR expression, but no combination had clinically relevant predictive validity.

CONCLUSIONS:

From a large panel of leukocyte biomarkers, immunosuppression biomarkers were associated with subsequent sepsis in ED patients with suspected acute infection. CLINICAL TRIAL REGISTRATION NCT02188992.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Antígenos CD / Sepse / Leucócitos Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Antígenos CD / Sepse / Leucócitos Idioma: En Ano de publicação: 2018 Tipo de documento: Article