Early PREdiction of sepsis using leukocyte surface biomarkers: the ExPRES-sepsis cohort study.
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Authors
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
Publication Date
2018-11Journal Title
Intensive Care Med
ISSN
0342-4642
Publisher
Springer Science and Business Media LLC
Volume
44
Issue
11
Pages
1836-1848
Language
eng
Type
Article
Physical Medium
Print-Electronic
Metadata
Show full item recordCitation
Shankar-Hari, M., Datta, D., Wilson, J., Assi, V., Stephen, J., Weir, C. J., Rennie, J., et al. (2018). Early PREdiction of sepsis using leukocyte surface biomarkers: the ExPRES-sepsis cohort study.. Intensive Care Med, 44 (11), 1836-1848. https://doi.org/10.1007/s00134-018-5389-0
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.
Keywords
Biomarker, risk prediction, Cohort study, Infection, Mortality, Sepsis, Adult, Aged, Aged, 80 and over, Antigens, CD, Biomarkers, Cohort Studies, Emergency Service, Hospital, Female, HLA-DR Antigens, Humans, Intensive Care Units, Leukocytes, Logistic Models, Male, Middle Aged, Predictive Value of Tests, Reproducibility of Results, Sepsis
Sponsorship
The study was funded by Innovate UK (Sepsis 2: 101193). Dr Shankar-Hari is supported by the National Institute for Health Research Clinician Scientist Award (CS-2016-16-011). Dr Conway Morris is supported by a Clinical Research Career Development Fellowship from the Wellcome Trust (WT 2055214/Z/16/Z).
Funder references
Wellcome Trust (205214/Z/16/Z)
Identifiers
External DOI: https://doi.org/10.1007/s00134-018-5389-0
This record's URL: https://www.repository.cam.ac.uk/handle/1810/285578
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