Evidence map›Paper›PMID 31387528›Full record

Observational studyBMC emergency medicine2019

Prehospital characteristics among patients with sepsis: a comparison between patients with or without adverse outcome.

Agnes Olander, Henrik Andersson, Annelie J Sundler, Anders Bremer, Lars Ljungström, Magnus Andersson Hagiwara

Open access · goldAbstract readComparative StudyObservational Study
In one paragraph

Observational study in BMC emergency medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 33 citations in OpenAlex.

  1. Observational
  2. Article
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  4. Prevalence of clinical deterioration in the pre-hospital setting.Emergency medicine Australasia : EMA · 2025
    Article
  5. Observational
  6. Article
  7. Article
  8. Article
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  11. Observational
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

6 authors at 3 institutions in 1 country.

Agnes OlanderPreHospen - Centre for Prehospital Research, University of Borås, Allégatan 1, SE- 405 30, Borås, Sweden. agnes.olander@hb.se.ORCID 0000-0003-3624-1087
Henrik AnderssonPreHospen - Centre for Prehospital Research, University of Borås, Allégatan 1, SE- 405 30, Borås, Sweden.
Annelie J SundlerPreHospen - Centre for Prehospital Research, University of Borås, Allégatan 1, SE- 405 30, Borås, Sweden.
Anders BremerPreHospen - Centre for Prehospital Research, University of Borås, Allégatan 1, SE- 405 30, Borås, Sweden.
Lars LjungströmDepartment of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Magnus Andersson HagiwaraPreHospen - Centre for Prehospital Research, University of Borås, Allégatan 1, SE- 405 30, Borås, Sweden.
University of Borås · SELinnaeus University · SESkaraborg Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prehospital care of patients with sepsis are commonly performed by the emergency medical services. These patients may be critically ill and have high in-hospital mortality rates. Unfortunately, few patients with sepsis are identified by the emergency medical services, which can lead to delayed treatment and a worse prognosis. Therefore, early identification of patients with sepsis is important, and more information about the prehospital characteristics that can be used to identify these patients is needed. Based on this lack of information, the objectives of this study were to investigate the prehospital characteristics that are identified while patients with sepsis are being transported to the hospital by the emergency medical services, and to compare these values to those of the patients with and without adverse outcomes during their hospital stays.

methodsThis was a retrospective observational study. The patients' electronic health records were reviewed and selected consecutively based on the following: retrospectively diagnosed with sepsis and transported to an emergency department by the emergency medical services. Data were collected on demographics, prehospital characteristics and adverse outcomes, defined as the in-hospital mortality or treatment in the intensive care unit, and analysed by independent sample t-test and chi-square. Sensitivity, specificity and likelihood ratio, of prehospital characteristics for predicting or development of adverse outcome were analysed.

resultsIn total, 327 patients were included. Of these, 50 patients had adverse outcomes. When comparing patients with or without an adverse outcome, decreased oxygen saturation and body temperature, increased serum glucose level and altered mental status during prehospital care were found to be associated with an adverse outcome.

conclusionsThe findings suggests that patients having a decreased oxygen saturation and body temperature, increased serum glucose level and altered mental status during prehospital care are at risk of a poorer patient prognosis and adverse outcome. Recognizing these prehospital characteristics may help to identify patients with sepsis early and improve their long-term outcomes. However further research is required to predict limit values of saturation and serum glucose and to validate the use of prehospital characteristics for adverse outcome in patients with sepsis.

Indexed as

AgedAged, 80 and overBlood GlucoseBody TemperatureEmergency Medical TechniciansEmergency Service, HospitalFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsSepsisSeverity of Illness IndexBlood GlucoseCharacteristicsEmergency medical servicesPrehospitalSepsisSymptomsVital signs

Identifiers

PMID31387528
PMCPMC6685242
OpenAlexW2964633821

What OpenQuestion holds

Textmetadata
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.