Evidence map›Paper›PMID 26626588›Full record

Observational studyScandinavian journal of trauma, resuscitation and emergency medicine2015

The formation and design of the TRIAGE study--baseline data on 6005 consecutive patients admitted to hospital from the emergency department.

Louis Lind Plesner, Anne Kristine Servais Iversen, Sandra Langkjær, Ture Lange Nielsen, Rebecca Østervig, Peder Emil Warming, Idrees Ahmad Salam, Michael Kristensen, Morten Schou, Jesper Eugen-Olsen and 6 more

Abstract readObservational Study
In one paragraph

Observational study in Scandinavian journal of trauma, resuscitation and emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Metabolomics of early myocardial ischemia.Metabolomics : Official journal of the Metabolomic Society · 2023
    Trial
  3. Trial
  4. The Copenhagen Triage Algorithm: a randomized controlled trial.Scandinavian journal of trauma, resuscitation and emergency medicine · 2016
    Trial
  5. Trial
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Can clinicians identify community-acquired pneumonia on ultralow-dose CT? A diagnostic accuracy study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. A longitudinal, retrospective registry-based validation study of RETTS©, the Swedish adult ED context version.Scandinavian journal of trauma, resuscitation and emergency medicine · 2022
    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

16 authors.

Louis Lind PlesnerDepartment of Cardiology, Endocrinology and Nephrology, North Zealand Hospital, Copenhagen University Hospital, Copenhagen, Denmark. louislindplesner@gmail.com.
Anne Kristine Servais IversenDepartment of Cardiology, Endocrinology and Nephrology, North Zealand Hospital, Copenhagen University Hospital, Copenhagen, Denmark. annekristine89@gmail.com.
Sandra LangkjærDepartment of Cardiology, Endocrinology and Nephrology, North Zealand Hospital, Copenhagen University Hospital, Copenhagen, Denmark. sp.langkjaer@gmail.com.
Ture Lange NielsenDepartment of Cardiology, Endocrinology and Nephrology, North Zealand Hospital, Copenhagen University Hospital, Copenhagen, Denmark. tureln@gmail.com.
Rebecca ØstervigDepartment of Cardiology, Endocrinology and Nephrology, North Zealand Hospital, Copenhagen University Hospital, Copenhagen, Denmark. rebeccaoestervig@hotmail.com.
Peder Emil WarmingDepartment of Cardiology, Endocrinology and Nephrology, North Zealand Hospital, Copenhagen University Hospital, Copenhagen, Denmark. pederwarming@gmail.com.
Idrees Ahmad SalamDepartment of Cardiology, Endocrinology and Nephrology, North Zealand Hospital, Copenhagen University Hospital, Copenhagen, Denmark. idreessou@gmail.com.
Michael KristensenDepartment of Cardiology, Endocrinology and Nephrology, North Zealand Hospital, Copenhagen University Hospital, Copenhagen, Denmark. kristensen.michael@gmail.com.
Morten SchouDepartment of Cardiology, Endocrinology and Nephrology, North Zealand Hospital, Copenhagen University Hospital, Copenhagen, Denmark. m.schou@dadlnet.dk.
Jesper Eugen-OlsenClinical Research Centre, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark. jespereugenolsen@gmail.com.
Jakob Lundager ForbergEmergency Department, North Zealand Hospital, Copenhagen University Hospital, Copenhagen, Denmark. Jakob.Lundager.Forberg@regionh.dk.
Lars KøberDepartment of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark. Lars.Koeber@regionh.dk.
Lars S RasmussenDepartment of Anaesthesia, Centre of Head and Orthopaedics, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark. lars.rasmussen.01@regionh.dk.
György SölétormosDepartment of Clinical Biochemistry, North Zealand Hospital, Copenhagen University Hospital, Copenhagen, Denmark. georg.soeletormos@regionh.dk.
Bente Klarlund PedersenCentre of Inflammation and Metabolism (CIM) and Centre for Physical Activity Research (CFAS), Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark. bente.klarlund.pedersen@regionh.dk.
Kasper IversenDepartment of Cardiology, Endocrinology and Nephrology, North Zealand Hospital, Copenhagen University Hospital, Copenhagen, Denmark. kasper.k.iversen@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient crowding in emergency departments (ED) is a common challenge and associated with worsened outcome for the patients. Previous studies on biomarkers in the ED setting has focused on identification of high risk patients, and and the ability to use biomarkers to identify low-risk patients has only been sparsely examined. The broader aims of the TRIAGE study are to develop methods to identify low-risk patients appropriate for early ED discharge by combining information from a wide range of new inflammatory biomarkers and vital signs, the present baseline article aims to describe the formation of the TRIAGE database and characteristize the included patients.

methodsWe included consecutive patients ≥ 17 years admitted to hospital after triage staging in the ED. Blood samples for a biobank were collected and plasma stored in a freezer (-80 °C). Triage was done by a trained nurse using the Danish Emergency Proces Triage (DEPT) which categorizes patients as green (not urgent), yellow (urgent), orange (emergent) or red (rescusitation). Presenting complaints, admission diagnoses, comorbidities, length of stay, and 'events' during admission (any of 20 predefined definitive treatments that necessitates in-hospital care), vital signs and routine laboratory tests taken in the ED were aslo included in the database.

resultsBetween September 5(th) 2013 and December 6(th) 2013, 6005 patients were included in the database and the biobank (94.1 % of all admissions). Of these, 1978 (32.9 %) were categorized as green, 2386 (39.7 %) yellow, 1616 (26.9 %) orange and 25 (0.4 %) red. Median age was 62 years (IQR 46-76), 49.8 % were male and median length of stay was 1 day (IQR 0-4). No events were found in 2658 (44.2 %) and 158 (2.6 %) were admitted to intensive or intermediate-intensive care unit and 219 (3.6 %) died within 30 days. A higher triage acuity level was associated with numerous events, including acute surgery, endovascular intervention, i.v. treatment, cardiac arrest, stroke, admission to intensive care, hospital transfer, and mortality within 30 days (p < 0.001).

conclusionThe TRIAGE database has been completed and includes data and blood samples from 6005 unselected consecutive hospitalized patients. More than 40 % experienced no events and were therefore potentially unnecessary hospital admissions.

Indexed as

Severity of Illness IndexBiomarkersComorbidityCrowdingDenmarkDiagnostic Tests, RoutineEmergency Service, HospitalFemaleHumansLength of StayMalePatient AdmissionProspective StudiesResearch DesignRisk AssessmentTriageBiomarkers

Identifiers

PMID26626588
PMCPMC4667414

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.