Evidence map›Paper›PMID 33947731›Full record

ArticleBMJ open2021

Performance of seven different paediatric early warning scores to predict critical care admission in febrile children presenting to the emergency department: a retrospective cohort study.

Sam T Romaine, Gerri Sefton, Emma Lim, Ruud G Nijman, Jolanta Bernatoniene, Simon Clark, Luregn J Schlapbach, Philip Pallmann, Enitan D Carrol

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  6. Assessing children who are acutely ill in general practice using the National PEWS and LqSOFA clinical scores: a retrospective cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
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  7. Article
  8. Review
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  10. Response to: Comment on "Integrating Human Intuition into Prediction Algorithms for Improved Surgical Risk Stratification".Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Article
  11. Comment on: "Integrating Human Intuition into Prediction Algorithms for Improved Surgical Risk Stratification".Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
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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

9 authors.

Sam T RomaineDepartment of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.ORCID 0000-0001-8411-7967
Gerri SeftonPaediatric Intensive Care Unit, Alder Hey Children's NHS Foundation Trust, Liverpool, Merseyside, UK.
Emma LimPaediatric Immunology, Infectious Diseases & Allergy, Great North Children's Hospital, Newcastle Upon Tyne, UK.
Ruud G NijmanSection of Paediatrics, Division of Infectious Diseases, Department of Medicine, Imperial College London, London, UK.
Jolanta BernatonienePaediatric Infectious Disease Department, Bristol Royal Hospital for Children, Bristol, UK.
Simon ClarkThe Jessop Wing Neonatal Unit, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Luregn J SchlapbachChild Health Research Centre, The University of Queensland, Saint Lucia, Queensland, Australia.
Philip PallmannCollege of Biomedical and Life Sciences, Centre for Trials Research, Cardiff University, Cardiff, South Glamorgan, UK.ORCID 0000-0001-8274-9696
Enitan D CarrolDepartment of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK edcarrol@liverpool.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePaediatric Early Warning Scores (PEWS) are widely used in the UK, but the heterogeneity across tools and the limited data on their predictive performance represent obstacles to improving best practice. The standardisation of practice through the proposed National PEWS will rely on robust validation. Therefore, we compared the performance of the National PEWS with six other PEWS currently used in NHS hospitals, for their ability to predict critical care (CC) admission in febrile children attending the emergency department (ED).

designRetrospective single-centre cohort study.

settingTertiary hospital paediatric ED.

participantsA total of 11 449 eligible febrile ED attendances were identified from the electronic patient record over a 2-year period. Seven PEWS scores were calculated (Alder Hey, Bedside, Bristol, National, Newcastle and Scotland PEWS, and the Paediatric Observation Priority Score, using the worst observations recorded during their ED stay. OUTCOMES: The primary outcome was CC admission within 48 hours, the secondary outcomes were hospital length of stay (LOS) >48 hours and sepsis-related mortality.

resultsOf 11 449 febrile children, 134 (1.2%) were admitted to CC within 48 hours of ED presentation, 606 (5.3%) had a hospital LOS >48 hours. 10 (0.09%) children died, 5 (0.04%) were sepsis-related. All seven PEWS demonstrated excellent discrimination for CC admission (range area under the receiver operating characteristic curves (AUC) 0.91-0.95) and sepsis-related mortality (range AUC 0.95-0.99), most demonstrated moderate discrimination for hospital LOS (range AUC 0.69-0.75). In CC admission threshold analyses, bedside PEWS (AUC 0.90; 95% CI 0.86 to 0.93) and National PEWS (AUC 0.90; 0.87-0.93) were the most discriminative, both at a threshold of ≥6.

conclusionsOur results support the use of the proposed National PEWS in the paediatric ED for the recognition of suspected sepsis to improve outcomes, but further validation is required in other settings and presentations.

Indexed as

Early Warning ScoreChildCohort StudiesCritical CareEmergency Service, HospitalHumansRetrospective StudiesScotlandinfectious diseasespaediatric A&E and ambulatory carepaediatric infectious disease & immunisationpaediatrics

Identifiers

PMID33947731
PMCPMC8098996

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.