Evidence map›Paper›PMID 22490233›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2012

The formation and design of the 'Acute Admission Database'- a database including a prospective, observational cohort of 6279 patients triaged in the emergency department in a larger Danish hospital.

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

Abstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. The Copenhagen Triage Algorithm: a randomized controlled trial.Scandinavian journal of trauma, resuscitation and emergency medicine · 2016
    Trial
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Article
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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.

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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundManagement and care of the acutely ill patient has improved over the last years due to introduction of systematic assessment and accelerated treatment protocols. We have, however, sparse knowledge of the association between patient status at admission to hospital and patient outcome. A likely explanation is the difficulty in retrieving all relevant information from one database. The objective of this article was 1) to describe the formation and design of the 'Acute Admission Database', and 2) to characterize the cohort included.

methodsAll adult patients triaged at the Emergency Department at Hillerød Hospital and admitted either to the observationary unit or to a general ward in-hospital were prospectively included during a period of 22 weeks. The triage system used was a Danish adaptation of the Swedish triage system, ADAPT. Data from 3 different data sources was merged using a unique identifier, the Central Personal Registry number; 1) Data from patient admission; time and date, vital signs, presenting complaint and triage category, 2) Blood sample results taken at admission, including a venous acid-base status, and 3) Outcome measures, e.g. length of stay, admission to Intensive Care Unit, and mortality within 7 and 28 days after admission.

resultsIn primary triage, patients were categorized as red (4.4%), orange (25.2%), yellow (38.7%) and green (31.7%). Abnormal vital signs were present at admission in 25% of the patients, most often temperature (10.5%), saturation of peripheral oxygen (9.2%), Glasgow Coma Score (6.6%) and respiratory rate (4.8%). A venous acid-base status was obtained in 43% of all patients. The majority (78%) had a pH within the normal range (7.35-7.45), 15% had acidosis (pH < 7.35) and 7% had alkalosis (pH > 7.45). Median length of stay was 2 days (range 1-123). The proportion of patients admitted to Intensive Care Unit was 1.6% (95% CI 1.2-2.0), 1.8% (95% CI 1.5-2.2) died within 7 days, and 4.2% (95% CI 3.7-4.7) died within 28 days after admission.

conclusionsDespite challenges of data registration, we succeeded in creating a database of adequate size and data quality. Future studies will focus on the association between patient status at admission and patient outcome, e.g. admission to Intensive Care Unit or in-hospital mortality.

Indexed as

Severity of Illness IndexAdultAgedDatabases, FactualDenmarkEmergency Service, HospitalFemaleHospital MortalityHumansIntensive Care UnitsLength of StayMaleMiddle AgedOutcome Assessment, Health CarePatient AdmissionPatient Discharge

Identifiers

PMID22490233
PMCPMC3403899

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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.