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Early PREdiction of Severe Sepsis (ExPRES-Sepsis) study:protocol for an observational derivation study to discover potential leucocyte cell surface biomarkers
- Source :
- Datta, D, Conway Morris, A, Antonelli, J, Warner, N, Brown, K A, Wright, J, Simpson, A J, Rennie, J, Hulme, G, Lewis, S M, Mare, T A, Cookson, S, Weir, C J, Dimmick, I, Keenan, J, Rossi, A G, Shankar-Hari, M, Walsh, T S 2016, ' Early PREdiction of Severe Sepsis (ExPRES-Sepsis) study : protocol for an observational derivation study to discover potential leucocyte cell surface biomarkers ', BMJ Open, vol. 6, no. 8, pp. e011335 . https://doi.org/10.1136/bmjopen-2016-011335, BMJ Open, Datta, D, Conway Morris, A, Antonelli, J, Warner, N, Brown, K A, Wright, J, Simpson, A J, Rennie, J, Hulme, G, Lewis, S M, Mare, T A, Cookson, S, Weir, C J, Dimmick, I, Keenan, J, Rossi, A G, Shankar-Hari, M, Walsh, T S 2016, ' Early PREdiction of Severe Sepsis (ExPRES-Sepsis) study : protocol for an observational derivation study to discover potential leucocyte cell surface biomarkers ', BMJ Open, vol. 6, no. 8, e011335 . https://doi.org/10.1136/bmjopen-2016-011335
- Publication Year :
- 2016
-
Abstract
- INTRODUCTION: Sepsis is an acute illness resulting from infection and the host immune response. Early identification of individuals at risk of developing life-threatening severe sepsis could enable early triage and treatment, and improve outcomes. Currently available biomarkers have poor predictive value for predicting subsequent clinical course in patients with suspected infection. Circulating leucocytes provide readily accessible tissues that reflect many aspects of the complex immune responses described in sepsis. We hypothesise that measuring cellular markers of immune responses by flow cytometry will enable early identification of infected patients at risk of adverse outcomes. We aim to characterise leucocyte surface markers (biomarkers) and their abnormalities in a population of patients presenting to the hospital emergency department with suspected sepsis, and explore their ability to predict subsequent clinical course.METHODS AND ANALYSIS: We will conduct a prospective, multicentre, clinical, exploratory, cohort observational study. To answer our study question, 3 patient populations will be studied. First, patients with suspected sepsis from the emergency department (n=300). To assess performance characteristics of potential tests, critically ill patients with established sepsis, and age and gender matched patients without suspicion of infection requiring hospital admission (both n=100) will be recruited as comparator populations. In all 3 groups, we plan to assess circulating biomarker profiles using flow cytometry. We will select candidate biomarkers by cross-cohort comparison, and then explore their predictive value for clinical outcomes within the cohort with suspected sepsis.ETHICS AND DISSEMINATION: The study will be carried out based on the principles in the Declaration of Helsinki and the International Conference on Harmonisation Good Clinical Practice. Ethics approval has been granted from the Scotland A Research Ethics Committee (REC) and Oxford C REC. On conclusion of this study, the results will be disseminated via peer-reviewed journals.TRIAL REGISTRATION NUMBER: NCT02188992; Pre-results.
- Subjects :
- Adult
Male
medicine.medical_specialty
Adolescent
Critical Illness
Population
Immunologic Tests
Sepsis
03 medical and health sciences
Young Adult
0302 clinical medicine
Intensive care
ACCIDENT & EMERGENCY MEDICINE
medicine
Protocol
Leukocytes
Humans
030212 general & internal medicine
Prospective Studies
Intensive care medicine
education
Prospective cohort study
Aged
Aged, 80 and over
education.field_of_study
business.industry
030208 emergency & critical care medicine
General Medicine
Emergency department
Biomarker
Middle Aged
medicine.disease
Hospitalization
Infectious Diseases
Scotland
Research Design
Good clinical practice
Cohort
Biomarker (medicine)
Female
Triage
business
Emergency Service, Hospital
Biomarkers
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Datta, D, Conway Morris, A, Antonelli, J, Warner, N, Brown, K A, Wright, J, Simpson, A J, Rennie, J, Hulme, G, Lewis, S M, Mare, T A, Cookson, S, Weir, C J, Dimmick, I, Keenan, J, Rossi, A G, Shankar-Hari, M, Walsh, T S 2016, ' Early PREdiction of Severe Sepsis (ExPRES-Sepsis) study : protocol for an observational derivation study to discover potential leucocyte cell surface biomarkers ', BMJ Open, vol. 6, no. 8, pp. e011335 . https://doi.org/10.1136/bmjopen-2016-011335, BMJ Open, Datta, D, Conway Morris, A, Antonelli, J, Warner, N, Brown, K A, Wright, J, Simpson, A J, Rennie, J, Hulme, G, Lewis, S M, Mare, T A, Cookson, S, Weir, C J, Dimmick, I, Keenan, J, Rossi, A G, Shankar-Hari, M, Walsh, T S 2016, ' Early PREdiction of Severe Sepsis (ExPRES-Sepsis) study : protocol for an observational derivation study to discover potential leucocyte cell surface biomarkers ', BMJ Open, vol. 6, no. 8, e011335 . https://doi.org/10.1136/bmjopen-2016-011335
- Accession number :
- edsair.doi.dedup.....06d0c6a60ab45887c133d6c4d88642e5
- Full Text :
- https://doi.org/10.1136/bmjopen-2016-011335