Evidence map›Paper›PMID 37673643›Full record

ArticleEmergency medicine journal : EMJ2023

Prehospital early warning scores for adults with suspected sepsis: retrospective diagnostic cohort study.

Steve Goodacre, Laura Sutton, Ben Thomas, Olivia Hawksworth, Khurram Iftikhar, Susan Croft, Gordon Fuller, Simon Waterhouse, Daniel Hind, Mike Bradburn and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Emergency medicine journal : EMJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Diagnostic accuracy of early warning system scores in the prehospital setting.Journal of paramedic practice : the clinical monthly for emergency care professionals · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 5 institutions in 1 country.

Steve GoodacreSheffield Centre for Health and Related Research (SCHARR), The University of Sheffield, Sheffield, UK s.goodacre@sheffield.ac.uk.ORCID http://orcid.org/0000-0003-0803-8444
Laura SuttonSheffield Centre for Health and Related Research (SCHARR), The University of Sheffield, Sheffield, UK.
Ben ThomasSheffield Centre for Health and Related Research (SCHARR), The University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-6659-6930
Olivia HawksworthSheffield Centre for Health and Related Research (SCHARR), The University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0001-6513-100X
Khurram IftikharEmergency Department, Northern General Hospital, Sheffield, UK.
Susan CroftEmergency Department, Northern General Hospital, Sheffield, UK.
Gordon FullerSheffield Centre for Health and Related Research (SCHARR), The University of Sheffield, Sheffield, UK.
Simon WaterhouseSheffield Centre for Health and Related Research (SCHARR), The University of Sheffield, Sheffield, UK.
Daniel HindSheffield Centre for Health and Related Research (SCHARR), The University of Sheffield, Sheffield, UK.
Mike BradburnSheffield Centre for Health and Related Research (SCHARR), The University of Sheffield, Sheffield, UK.
Michael Anthony SmythClinical Trials Unit, University of Warwick, Coventry, UK.ORCID http://orcid.org/0000-0003-0220-2223
Gavin D PerkinsClinical Trials Unit, University of Warwick, Coventry, UK.
Mark MillinsYorkshire Ambulance Service NHS Trust, Wakefield, UK.
Andy RosserWest Midlands Ambulance Service, West Midlands, UK.
Jon M DicksonSheffield Centre for Health and Related Research (SCHARR), The University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-1361-2714
Matthew Joseph WilsonSheffield Centre for Health and Related Research (SCHARR), The University of Sheffield, Sheffield, UK.
University of Sheffield · GBNorthern General Hospital · GBUniversity of Warwick · GBEast Midlands Ambulance Service NHS Trust · GBYorkshire Ambulance Service NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmbulance services need to identify and prioritise patients with sepsis for early hospital assessment. We aimed to determine the accuracy of early warning scores alongside paramedic diagnostic impression to identify sepsis that required urgent treatment.

methodsWe undertook a retrospective diagnostic cohort study involving adult emergency medical cases transported to Sheffield Teaching Hospitals ED by Yorkshire Ambulance Service in 2019. We used routine ambulance service data to calculate 21 early warning scores and categorise paramedic diagnostic impressions as sepsis, infection, non-specific presentation or other presentation. We linked cases to hospital records and identified those meeting the sepsis-3 definition who received urgent hospital treatment for sepsis (reference standard). Analysis determined the accuracy of strategies that combined early warning scores at varying thresholds for positivity with paramedic diagnostic impression.

resultsWe linked 12 870/24 955 (51.6%) cases and identified 348/12 870 (2.7%) with a positive reference standard. None of the strategies provided sensitivity greater than 0.80 with positive predictive value greater than 0.15. The area under the receiver operating characteristic curve for the National Early Warning Score, version 2 (NEWS2) applied to patients with a diagnostic impression of sepsis or infection was 0.756 (95% CI 0.729, 0.783). No other early warning score provided clearly superior accuracy to NEWS2. Paramedic impression of sepsis or infection had sensitivity of 0.572 (0.519, 0.623) and positive predictive value of 0.156 (0.137, 0.176). NEWS2 thresholds of >4, >6 and >8 applied to patients with a diagnostic impression of sepsis or infection, respectively, provided sensitivities and positive predictive values of 0.522 (0.469, 0.574) and 0.216 (0.189, 0.245), 0.447 (0.395, 0.499) and 0.274 (0.239, 0.313), and 0.314 (0.268, 0.365) and 0.333 (0.284, 0.386).

conclusionNo strategy is ideal but using NEWS2 alongside paramedic diagnostic impression of infection or sepsis could identify one-third to half of sepsis cases without prioritising unmanageable numbers. No other score provided clearly superior accuracy to NEWS2. TRIAL REGISTRATION NUMBER: researchregistry5268, https://www.researchregistry.com/browse-the-registry%23home/registrationdetails/5de7bbd97ca5b50015041c33/.

Indexed as

Early Warning ScoreEmergency Medical ServicesSepsisAdultCohort StudiesHospital MortalityHumansRetrospective StudiesROC Curvediagnosisinfectionspre-hospital care

Identifiers

PMID37673643
PMCPMC10646863
OpenAlexW4386475173

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.