Cited by 74Sepsis Diagnosis and TreatmentInflammation biomarkers and pathwaysAcute Kidney Injury Research

Early PREdiction of sepsis using leukocyte surface biomarkers: the ExPRES-sepsis cohort study

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Shankar-Hari, Manu, Datta, Deepankar, Wilson, Julie, Assi, Valentina, Stephen, Jacqueline, Weir, Christopher J., Rennie, Jillian, Antonelli, Jean +19 more·2018·Intensive Care Medicine

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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  1. [1]1. Datta D, Conway Morris A, Antonelli J, et al. Early PREdiction of Severe Sepsis (ExPRESSepsis) study: protocol for an observational derivation study to discover potential leucocyte cell surface biomarkers. BMJ Open. 2016;6(8):e011335.
  2. [3]3. Conway Morris A, Datta D, Shankar-Hari M, et al. Cell-surface signatures of immune dysfunction risk-stratify critically ill patients: INFECT study. Intensive Care Med. 2018;44(5):627-635.
  3. [4]4. Guerin E, Orabona M, Raquil MA, et al. Circulating immature granulocytes with T-cell killing functions predict sepsis deterioration*. Crit Care Med. 2014;42(9):2007-2018.
  4. [6]6. Conway Morris A, Anderson N, Brittan M, et al. Combined dysfunctions of immune cells predict nosocomial infection in critically ill patients. Br J Anaesth. 2013;111(5):778-787. STROBE Statement-checklist of items that should be included in reports of observational studies

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Authors
Shankar-Hari, M., Datta, D., Wilson, J., Assi, V., Stephen, J., Weir, C. J., Rennie, J., Antonelli, J., Bateman, A., Felton, J. M., Warner, N., Judge, K., Keenan, J., Wang, A., Burpee, T., Brown, A. K., Lewis, S. M., Mare, T., Roy, A. I., Wright, J., Hulme, G., Dimmick, I., Gray, A., Rossi, A. G., Simpson, A. J., Conway Morris, A., & Walsh, T. S.
Affiliations
  • Centre for Inflammation Research (GB)
  • King's College London (GB)
  • University of Edinburgh (GB)
  • Becton Dickinson (United States) (US)
  • Guy's and St Thomas' NHS Foundation Trust (GB)
  • Royal Victoria Infirmary (GB)
  • Centre for Life (GB)
  • Edinburgh Royal Infirmary (GB)
  • Newcastle University (GB)
Venue
Intensive Care Medicine
Published
2018-10-05
Volume
44
Issue
11
Pages
1836-1848
ISSN
  • 0342-4642 (ISSN-L)
  • 1432-1238
OpenAlex
W2894670795
Cited by
74
References
2
Citations by year
2026: 8 · 2025: 7 · 2024: 8 · 2023: 13 · 2022: 12 · 2021: 6 · 2020: 10 · 2019: 9 · 2018: 1
FWCI
5.08
Type
journal article
Language
en
Open access
Locations
  • Intensive Care Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (submittedVersion, other-oa)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
  • Apollo (University of Cambridge) (submittedVersion)
  • Apollo
Funders
  • Innovate UK (Sepsis 2: 101193)
  • Research Trainees Coordinating Centre (CS-2016-16-011)
  • Wellcome Trust (WT 2055214/Z/16/Z)
Topics
  • Health Sciences › Medicine › Epidemiology › Sepsis Diagnosis and Treatment
  • Life Sciences › Immunology and Microbiology › Immunology › Inflammation biomarkers and pathways
  • Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
Keywords
sepsis prediction, acute infection, neutrophils, monocytes, CD24, HLA-DR, CD64, CD11b, complement receptor 1, PD-L1, SARS-CoV-2, SARS-CoV-1, emergency department
MeSH terms
Adult, Aged, Aged, 80 and over, Emergency Service, Hospital, Female, HLA-DR Antigens, Humans, Intensive Care Units, Leukocytes, Male, Middle Aged, Predictive Value of Tests, Reproducibility of Results, Cohort Studies, Biomarkers, Antigens, CD, Logistic Models, Sepsis

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