Evidence map›Paper›PMID 22490208›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2012

Abnormal vital signs are strong predictors for intensive care unit admission and in-hospital mortality in adults triaged in the emergency department - a prospective cohort study.

Charlotte Barfod, Marlene Mauson Pankoke Lauritzen, Jakob Klim Danker, György Sölétormos, Jakob Lundager Forberg, Peter Anthony Berlac, Freddy Lippert, Lars Hyldborg Lundstrøm, Kristian Antonsen, Kai Henrik Wiborg Lange

Open access · goldAbstract read
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 4 pooled it
4.4field-weighted citation impact, top 6% 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

82 citing papers in PubMed, 4 syntheses or guidelines pooled it, 194 citations in OpenAlex.

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  8. The Copenhagen Triage Algorithm: a randomized controlled trial.Scandinavian journal of trauma, resuscitation and emergency medicine · 2016
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22 more citing papers are in PubMed but not listed here.

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

10 authors at 3 institutions in 1 country.

Charlotte BarfodDepartment of Anaesthesia and Intensive Care, Hillerød Hospital, Denmark. cbar@hih.regionh.dk
Marlene Mauson Pankoke Lauritzen
Jakob Klim Danker
György Sölétormos
Jakob Lundager Forberg
Peter Anthony Berlac
Freddy Lippert
Lars Hyldborg Lundstrøm
Kristian Antonsen
Kai Henrik Wiborg Lange
Aalborg University Hospital · DKCapital Region of Denmark · DKNorth Denmark Region · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssessment and treatment of the acutely ill patient have improved by introducing systematic assessment and accelerated protocols for specific patient groups. Triage systems are widely used, but few studies have investigated the ability of the triage systems in predicting outcome in the unselected acute population. The aim of this study was to quantify the association between the main component of the Hillerød Acute Process Triage (HAPT) system and the outcome measures; Admission to Intensive Care Unit (ICU) and in-hospital mortality, and to identify the vital signs, scored and categorized at admission, that are most strongly associated with the outcome measures.

methodsThe HAPT system is a minor modification of the Swedish Adaptive Process Triage (ADAPT) and ranks patients into five level colour-coded triage categories. Each patient is assigned a triage category for the two main descriptors; vital signs, T(vitals), and presenting complaint, T(complaint). The more urgent of the two determines the final triage category, T(final). We retrieved 6279 unique adult patients admitted through the Emergency Department (ED) from the Acute Admission Database. We performed regression analysis to evaluate the association between the covariates and the outcome measures.

resultsThe covariates, T(vitals), T(complaint) and T(final) were all significantly associated with ICU admission and in-hospital mortality, the odds increasing with the urgency of the triage category. The vital signs best predicting in-hospital mortality were saturation of peripheral oxygen (SpO(2)), respiratory rate (RR), systolic blood pressure (BP) and Glasgow Coma Score (GCS). Not only the type, but also the number of abnormal vital signs, were predictive for adverse outcome. The presenting complaints associated with the highest in-hospital mortality were 'dyspnoea' (11.5%) and 'altered level of consciousness' (10.6%). More than half of the patients had a T(complaint) more urgent than T(vitals), the opposite was true in just 6% of the patients.

conclusionThe HAPT system is valid in terms of predicting in-hospital mortality and ICU admission in the adult acute population. Abnormal vital signs are strongly associated with adverse outcome, while including the presenting complaint in the triage model may result in over-triage.

Indexed as

Hospital MortalityVital SignsAdolescentAdultAgedAged, 80 and overDenmarkEmergency Service, HospitalFemaleHumansIntensive Care UnitsMaleMiddle AgedOutcome and Process Assessment, Health CarePatient AdmissionPrognosis

Identifiers

PMID22490208
PMCPMC3384463
OpenAlexW2164529528

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.