Evidence map›Paper›PMID 26228245›Full record

ArticleBMC medicine2015

Predicting mortality in sick African children: the FEAST Paediatric Emergency Triage (PET) Score.

Elizabeth C George, A Sarah Walker, Sarah Kiguli, Peter Olupot-Olupot, Robert O Opoka, Charles Engoru, Samuel O Akech, Richard Nyeko, George Mtove, Hugh Reyburn and 7 more

Abstract read
In one paragraph

Article in BMC medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
–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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

17 authors.

Elizabeth C GeorgeMedical Research Council Clinical Trials Unit (MRC CTU) at UCL, London, UK. elizabeth.george@ucl.ac.uk.
A Sarah WalkerMedical Research Council Clinical Trials Unit (MRC CTU) at UCL, London, UK. rmjlasw@ucl.ac.uk.
Sarah KiguliDepartment of Paediatrics, Mulago Hospital, Makerere University, Kampala, Uganda. skwalube@yahoo.co.uk.
Peter Olupot-OlupotDepartment of Paediatrics, Mbale Regional Referral Hospital, Mbale, Uganda. polupotolupot@yahoo.com.
Robert O OpokaDepartment of Paediatrics, Mulago Hospital, Makerere University, Kampala, Uganda. opokabob@yahoo.com.
Charles EngoruDepartment of Paediatrics, Soroti Regional Referral Hospital, Soroti, Uganda. charlesengoru@yahoo.co.uk.
Samuel O AkechKilifi Clinical Trials Facility, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya. sakech@gmail.com.
Richard NyekoDepartment of Paediatrics, St Mary's Hospital, Lacor, Uganda. richard_nyeko@yahoo.com.
George MtoveDepartment of Paediatrics, Joint Malaria Programme, Teule Hospital, Muheza, Tanzania. mtoveg2002@yahoo.co.uk.
Hugh ReyburnDepartment of Paediatrics, Joint Malaria Programme, Teule Hospital, Muheza, Tanzania. hugh.reyburn@lshtm.ac.uk.
James A BerkleyKilifi Clinical Trials Facility, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya. jberkley@kemri-wellcome.org.
Ayub MpoyaKilifi Clinical Trials Facility, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya. ampoya@kemri-wellcome.org.
Michael LevinWellcome Trust Centre for Clinical Tropical Medicine and Department of Paediatrics, Faculty of Medicine, Imperial College, London, UK. m.levin@imperial.ac.uk.
Jane CrawleyMedical Research Council Clinical Trials Unit (MRC CTU) at UCL, London, UK. jane.crawley@gmail.com.
Diana M GibbMedical Research Council Clinical Trials Unit (MRC CTU) at UCL, London, UK. diana.gibb@ucl.ac.uk.
Kathryn MaitlandKilifi Clinical Trials Facility, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya. k.maitland@imperial.ac.uk.
Abdel G BabikerMedical Research Council Clinical Trials Unit (MRC CTU) at UCL, London, UK. a.babiker@ucl.ac.uk.

Funding

Health Professions Education and training for strengthening the health system and services in UgandaR25TW011213 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI KIGULI, SARAH · 2018 to 2022
$3.4M
FIC NIH HHS R25 TW011213Medical Research Council G0601027Medical Research Council G0801439Medical Research Council MC_UU_12023/16Medical Research Council MC_UU_12023/23Medical Research Council MC_UU_12023/26Medical Research Council MR/M007367/1Wellcome Trust 092654
6 · The paper itself

Abstract

backgroundMortality in paediatric emergency care units in Africa often occurs within the first 24 h of admission and remains high. Alongside effective triage systems, a practical clinical bedside risk score to identify those at greatest risk could contribute to reducing mortality.

methodsData collected during the Fluid As Expansive Supportive Therapy (FEAST) trial, a multi-centre trial involving 3,170 severely ill African children, were analysed to identify clinical and laboratory prognostic factors for mortality. Multivariable Cox regression was used to build a model in this derivation dataset based on clinical parameters that could be quickly and easily assessed at the bedside. A score developed from the model coefficients was externally validated in two admissions datasets from Kilifi District Hospital, Kenya, and compared to published risk scores using Area Under the Receiver Operating Curve (AUROC) and Hosmer-Lemeshow tests. The Net Reclassification Index (NRI) was used to identify additional laboratory prognostic factors.

resultsA risk score using 8 clinical variables (temperature, heart rate, capillary refill time, conscious level, severe pallor, respiratory distress, lung crepitations, and weak pulse volume) was developed. The score ranged from 0-10 and had an AUROC of 0.82 (95 % CI, 0.77-0.87) in the FEAST trial derivation set. In the independent validation datasets, the score had an AUROC of 0.77 (95 % CI, 0.72-0.82) amongst admissions to a paediatric high dependency ward and 0.86 (95 % CI, 0.82-0.89) amongst general paediatric admissions. This discriminative ability was similar to, or better than other risk scores in the validation datasets. NRI identified lactate, blood urea nitrogen, and pH to be important prognostic laboratory variables that could add information to the clinical score.

conclusionsEight clinical prognostic factors that could be rapidly assessed by healthcare staff for triage were combined to create the FEAST Paediatric Emergency Triage (PET) score and externally validated. The score discriminated those at highest risk of fatal outcome at the point of hospital admission and compared well to other published risk scores. Further laboratory tests were also identified as prognostic factors which could be added if resources were available or as indices of severity for comparison between centres in future research studies.

Indexed as

AdolescentAfricaAge DistributionChildChild MortalityChild, PreschoolEmergency Service, HospitalHospitals, PediatricHumansInfantInfant MortalityKenyaMalePediatricsPrognosisRisk Assessment

Identifiers

PMID26228245
PMCPMC4521500

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.