Evidence map›Paper›PMID 29179764›Full record

Observational studyScandinavian journal of trauma, resuscitation and emergency medicine2017

Routine blood tests are associated with short term mortality and can improve emergency department triage: a cohort study of >12,000 patients.

Michael Kristensen, Anne Kristine Servais Iversen, Thomas Alexander Gerds, Rebecca Østervig, Jakob Danker Linnet, Charlotte Barfod, Kai Henrik Wiborg Lange, György Sölétormos, Jakob Lundager Forberg, Jesper Eugen-Olsen and 4 more

Abstract readObservational Study
In one paragraph

Observational study in Scandinavian journal of trauma, resuscitation and emergency medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  4. A tool based on objective data to identify patients at elevated risk of hospital-onsetAntimicrobial stewardship & healthcare epidemiology : ASHE · 2026
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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

14 authors.

Michael KristensenDepartment of Emergency Medicine, Sjællands Universitetshospital Køge, Køge, Denmark.
Anne Kristine Servais IversenDepartment of Cardiology, Endocrinology and Nephrology, Nordsjællands Hospital, Copenhagen University Hospital, Copenhagen, Denmark.
Thomas Alexander GerdsDepartment of Biostatistics, University of Copenhagen, Copenhagen, Denmark.
Rebecca ØstervigDepartment of Cardiology, Endocrinology and Nephrology, Nordsjællands Hospital, Copenhagen University Hospital, Copenhagen, Denmark.
Jakob Danker LinnetDepartment of Anaesthesia, Sjællands Universitetshospital Køge, Køge, Denmark.
Charlotte BarfodDepartment of Anaesthesia, Centre of Head and Orthopaedics Surgery, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Kai Henrik Wiborg LangeDepartment of Anaesthesia, Nordsjællands Hospital, Hillerød, Denmark.
György SölétormosDepartment of Research, Nordsjælland Hospital, Hillerød, Denmark.
Jakob Lundager ForbergDepartment of Prehospital and In-Hospital Emergency Medicine - Helsingborg Hospital, Helsingborg, Sweden.
Jesper Eugen-OlsenClinical Research Centre, Copenhagen University Hospital, Hvidovre, Denmark.
Lars Simon RasmussenDepartment of Anaesthesia, Centre of Head and Orthopaedics Surgery, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Morten SchouDepartment of Cardiology, Endocrinology and Nephrology, Nordsjællands Hospital, Copenhagen University Hospital, Copenhagen, Denmark.
Lars KøberDepartment of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Kasper IversenDepartment of Cardiology, Endocrinology and Nephrology, Nordsjællands 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

backgroundPrioritization of acutely ill patients in the Emergency Department remains a challenge. We aimed to evaluate whether routine blood tests can predict mortality in unselected patients in an emergency department and to compare risk prediction with a formalized triage algorithm.

methodsA prospective observational cohort study of 12,661 consecutive admissions to the Emergency Department of Nordsjælland University Hospital during two separate periods in 2010 (primary cohort, n = 6279) and 2013 (validation cohort, n = 6383). Patients were triaged in five categories by a formalized triage algorithm. All patients with a full routine biochemical screening (albumin, creatinine, c-reactive protein, haemoglobin, lactate dehydrogenase, leukocyte count, potassium, and sodium) taken at triage were included. Information about vital status was collected from the Danish Central Office of Civil registration. Multiple logistic regressions were used to predict 30-day mortality. Validation was performed by applying the regression models on the 2013 validation cohort.

resultsThirty-day mortality was 5.3%. The routine blood tests had a significantly stronger discriminative value on 30-day mortality compared to the formalized triage (AUC 88.1 [85.7;90.5] vs. 63.4 [59.1;67.5], p < 0.01). Risk stratification by routine blood tests was able to identify a larger number of low risk patients (n = 2100, 30-day mortality 0.1% [95% CI 0.0;0.3%]) compared to formalized triage (n = 1591, 2.8% [95% CI 2.0;3.6%]), p < 0.01.

conclusionsRoutine blood tests were strongly associated with 30-day mortality in acutely ill patients and discriminatory ability was significantly higher than with a formalized triage algorithm. Thus routine blood tests allowed an improved risk stratification of patients presenting in an emergency department.

Indexed as

Emergency Service, HospitalHematologic TestsAgedAlgorithmsFemaleHospitalizationHospitals, UniversityHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsProspective StudiesROC CurveSeverity of Illness IndexTriageAcute patientsBiomarkersEmergency medicineRisk stratificationTriage

Identifiers

PMID29179764
PMCPMC5704435

What OpenQuestion holds

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LicenceCC BY
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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.