Derivation and internal validation of the screening to enhance prehospital identification of sepsis (SEPSIS) score in adults on arrival at the emergency department

Abstract Background Prehospital recognition of sepsis may inform case management by ambulance clinicians, as well as inform transport decisions. The objective of this study was to develop a prehospital sepsis screening tool for use by ambulance clinicians. Methods We derived and validated a sepsis s...

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Main Authors: Michael A. Smyth, Daniel Gallacher, Peter K. Kimani, Mark Ragoo, Matthew Ward, Gavin D. Perkins
Format: Article
Language:English
Published: BMC 2019-07-01
Series:Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13049-019-0642-2
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author Michael A. Smyth
Daniel Gallacher
Peter K. Kimani
Mark Ragoo
Matthew Ward
Gavin D. Perkins
author_facet Michael A. Smyth
Daniel Gallacher
Peter K. Kimani
Mark Ragoo
Matthew Ward
Gavin D. Perkins
author_sort Michael A. Smyth
collection DOAJ
description Abstract Background Prehospital recognition of sepsis may inform case management by ambulance clinicians, as well as inform transport decisions. The objective of this study was to develop a prehospital sepsis screening tool for use by ambulance clinicians. Methods We derived and validated a sepsis screening tool, utilising univariable logistic regression models to identify predictors for inclusion, and multivariable logistic regression to generate the SEPSIS score. We utilised a retrospective cohort of adult patients transported by ambulance (n = 38483) to hospital between 01 July 2013 and 30 June 2014. Records were linked using LinkPlus® software. Successful linkage was achieved in 33289 cases (86%). Eligible patients included adult, non-trauma, non-mental health, non-cardiac arrest cases. Of 33289 linked cases, 22945 cases were eligible. Eligible cases were divided into derivation (n = 16063, 70%) and validation (n = 6882, 30%) cohorts. The primary outcome measure was high risk of severe illness or death from sepsis, as defined by the National Institute for Health and Care Excellence Sepsis guideline. Results ‘High risk of severe illness or death from sepsis’ was present in 3.7% of derivation (n = 593) and validation (n = 254) cohorts. The SEPSIS score comprises the following variables: age, respiratory rate, peripheral oxygen saturations, heart rate, systolic blood pressure, temperature and level of consciousness (p < 0.001 for all variables). Area under the curve was 0.87 (95%CI 0.85–0.88) for the derivation cohort, and 0.86 (95%CI 0.84–0.88) for the validation cohort. In an undifferentiated adult medical population, for a SEPSIS score ≥ 5, sensitivity was 0.37 (0.31–0.44), specificity was 0.96 (0.96–0.97), positive predictive value was 0.27 (0.23–0.32), negative predictive value was 0.97 (0.96–0.97), positive likelihood value was 13.5 (9.7–18.73) and the negative likelihood value was 0.83 (0.78–0.88). Conclusion This is the first screening tool developed to identify NICE high risk of severe illness or death from sepsis. The SEPSIS score is significantly associated with high risk of severe illness or death from sepsis on arrival at the Emergency Department. It may assist ambulance clinicians to identify those patients with sepsis in need of antibiotic therapy. However, it requires external validation, in clinical practice by ambulance clinicians, in an independent population.
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spelling doaj.art-5255d75c1e7449e5a63855cfce65fc262022-12-22T01:29:48ZengBMCScandinavian Journal of Trauma, Resuscitation and Emergency Medicine1757-72412019-07-0127111310.1186/s13049-019-0642-2Derivation and internal validation of the screening to enhance prehospital identification of sepsis (SEPSIS) score in adults on arrival at the emergency departmentMichael A. Smyth0Daniel Gallacher1Peter K. Kimani2Mark Ragoo3Matthew Ward4Gavin D. Perkins5Clinical Trials Unit, University of WarwickClinical Trials Unit, University of WarwickClinical Trials Unit, University of WarwickRoyal Stoke University HospitalWest Midlands Ambulance Service NHS Foundation TrustClinical Trials Unit, University of WarwickAbstract Background Prehospital recognition of sepsis may inform case management by ambulance clinicians, as well as inform transport decisions. The objective of this study was to develop a prehospital sepsis screening tool for use by ambulance clinicians. Methods We derived and validated a sepsis screening tool, utilising univariable logistic regression models to identify predictors for inclusion, and multivariable logistic regression to generate the SEPSIS score. We utilised a retrospective cohort of adult patients transported by ambulance (n = 38483) to hospital between 01 July 2013 and 30 June 2014. Records were linked using LinkPlus® software. Successful linkage was achieved in 33289 cases (86%). Eligible patients included adult, non-trauma, non-mental health, non-cardiac arrest cases. Of 33289 linked cases, 22945 cases were eligible. Eligible cases were divided into derivation (n = 16063, 70%) and validation (n = 6882, 30%) cohorts. The primary outcome measure was high risk of severe illness or death from sepsis, as defined by the National Institute for Health and Care Excellence Sepsis guideline. Results ‘High risk of severe illness or death from sepsis’ was present in 3.7% of derivation (n = 593) and validation (n = 254) cohorts. The SEPSIS score comprises the following variables: age, respiratory rate, peripheral oxygen saturations, heart rate, systolic blood pressure, temperature and level of consciousness (p < 0.001 for all variables). Area under the curve was 0.87 (95%CI 0.85–0.88) for the derivation cohort, and 0.86 (95%CI 0.84–0.88) for the validation cohort. In an undifferentiated adult medical population, for a SEPSIS score ≥ 5, sensitivity was 0.37 (0.31–0.44), specificity was 0.96 (0.96–0.97), positive predictive value was 0.27 (0.23–0.32), negative predictive value was 0.97 (0.96–0.97), positive likelihood value was 13.5 (9.7–18.73) and the negative likelihood value was 0.83 (0.78–0.88). Conclusion This is the first screening tool developed to identify NICE high risk of severe illness or death from sepsis. The SEPSIS score is significantly associated with high risk of severe illness or death from sepsis on arrival at the Emergency Department. It may assist ambulance clinicians to identify those patients with sepsis in need of antibiotic therapy. However, it requires external validation, in clinical practice by ambulance clinicians, in an independent population.http://link.springer.com/article/10.1186/s13049-019-0642-2SepsisPrehospitalAmbulanceScreening toolPrediction model
spellingShingle Michael A. Smyth
Daniel Gallacher
Peter K. Kimani
Mark Ragoo
Matthew Ward
Gavin D. Perkins
Derivation and internal validation of the screening to enhance prehospital identification of sepsis (SEPSIS) score in adults on arrival at the emergency department
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
Sepsis
Prehospital
Ambulance
Screening tool
Prediction model
title Derivation and internal validation of the screening to enhance prehospital identification of sepsis (SEPSIS) score in adults on arrival at the emergency department
title_full Derivation and internal validation of the screening to enhance prehospital identification of sepsis (SEPSIS) score in adults on arrival at the emergency department
title_fullStr Derivation and internal validation of the screening to enhance prehospital identification of sepsis (SEPSIS) score in adults on arrival at the emergency department
title_full_unstemmed Derivation and internal validation of the screening to enhance prehospital identification of sepsis (SEPSIS) score in adults on arrival at the emergency department
title_short Derivation and internal validation of the screening to enhance prehospital identification of sepsis (SEPSIS) score in adults on arrival at the emergency department
title_sort derivation and internal validation of the screening to enhance prehospital identification of sepsis sepsis score in adults on arrival at the emergency department
topic Sepsis
Prehospital
Ambulance
Screening tool
Prediction model
url http://link.springer.com/article/10.1186/s13049-019-0642-2
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