Evidence map›Paper›PMID 32468084›Full record

ArticleIntensive care medicine2020

Epidemiology and patient predictors of infection and sepsis in the prehospital setting.

Daniel J Lane, Hannah Wunsch, Refik Saskin, Sheldon Cheskes, Steve Lin, Laurie J Morrison, Christopher J Oleynick, Damon C Scales

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Intensive care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Ultra-Short-Course Antibiotics for Suspected Pneumonia With Preserved Oxygenation.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Daniel J LaneInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Health Sciences Building, 155 College Street, Suite 425, Toronto, ON, M5T 3M6, Canada. djlane@ucalgary.ca.ORCID http://orcid.org/0000-0001-8600-8895
Hannah WunschInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Health Sciences Building, 155 College Street, Suite 425, Toronto, ON, M5T 3M6, Canada.
Refik SaskinInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Health Sciences Building, 155 College Street, Suite 425, Toronto, ON, M5T 3M6, Canada.
Sheldon CheskesRescu, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.
Steve LinInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Health Sciences Building, 155 College Street, Suite 425, Toronto, ON, M5T 3M6, Canada.
Laurie J MorrisonRescu, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.
Christopher J OleynickCumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Damon C ScalesInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Health Sciences Building, 155 College Street, Suite 425, Toronto, ON, M5T 3M6, Canada.
St. Michael's Hospital · CASunnybrook Health Science Centre · CAUniversity of Calgary · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeParamedics are often the first healthcare contact for patients with infection and sepsis and may identify them earlier with improved knowledge of the clinical signs and symptoms that identify patients at higher risk.

methodsA 1-year (April 2015 and March 2016) cohort of all adult patients transported by EMS in the province of Alberta, Canada, was linked to hospital administrative databases. The main outcomes were infection, or sepsis diagnosis among patients with infection, in the Emergency Department. We estimated the probability of these outcomes, conditional on signs and symptoms that are commonly available to paramedics.

resultsAmong 131,745 patients transported by EMS, the prevalence of infection was 9.7% and sepsis was 2.1%. The in-hospital mortality rate for patients with sepsis was 28%. The majority (62%) of patients with infections were classified by one of three dispatch categories ("breathing problems," "sick patient," or "inter-facility transfer"), and the probability of infection diagnosis was 17-20% for patients within these categories. Patients with elevated temperature measurements had the highest probability for infection diagnosis, but altered Glasgow Coma Scale (GCS), low blood pressure, or abnormal respiratory rate had the highest probability for sepsis diagnosis.

conclusionDispatch categories and elevated temperature identify patients with higher probability of infection, but abnormal GCS, low blood pressure, and abnormal respiratory rate identify patients with infection who have a higher probability of sepsis. These characteristics may be considered by paramedics to identify higher-risk patients prior to arrival at the hospital.

Indexed as

Emergency Medical ServicesSepsisAdultAlbertaEmergency Service, HospitalHospital MortalityHumansRetrospective StudiesEmergencyEmergency medical servicesInfectionPredictorsSepsis

Identifiers

PMID32468084
OpenAlexW3030098083

What OpenQuestion holds

Textmetadata
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.