Evidence map›Paper›PMID 36327748›Full record

Trial reportThe American journal of emergency medicine2023

Clinical predictors of endotracheal intubation in patients presenting to the emergency department with angioedema.

Jason Arthur, David Caro, Stephen Topp, Steven Chadwick, Brian Driver, Morgan Henson, Ashley Norse, Horace Spencer, Steven A Godwin, Faheem Guirgis

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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 4 institutions in 1 country.

Jason ArthurDepartment of Emergency Medicine, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
David CaroDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Stephen ToppDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Steven ChadwickDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Brian DriverDepartment of Emergency Medicine, Hennepin County Medical Center, Minneapolis, MN, USA.
Morgan HensonDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Ashley NorseDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Horace SpencerDepartment of Biostatistics, College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Steven A GodwinDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Faheem GuirgisDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA. Electronic address: faheem.guirgis@jax.ufl.edu.
Florida College · USUniversity of Arkansas for Medical Sciences · USUniversity of Florida · USHennepin County Medical Center · US

Funding

Expanding Translational Research in ArkansasUL1TR003107 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, LAURA P · 2019 to 2023
$21.6M
Arkansas Center for Clinical and Translational ResearchUL1TR000039 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI BECK, CORNELIA MARIE, JAMES, LAURA P · 2012 to 2014
$10.0M
Expanding Translational Research in ArkansasU54TR001629 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, LAURA P · 2017 to 2017
$3.5M
NCATS NIH HHS U54 TR001629NCATS NIH HHS UL1 TR000039NCATS NIH HHS UL1 TR003107
6 · The paper itself

Abstract

objectivesThe objective of this study is to identify predictors of airway compromise among patients presenting to the emergency department with angioedema in order to develop and validate a risk score to augment clinician gestalt regarding need for intubation.

methodsRetrospective chart review of emergency department patients with a diagnosis of angioedema. After data extraction they were randomly divided into a training and test set. The training set was used to identify factors associated with intubation and to develop a model and risk score to predict intubation. The model and risk score were then applied to the test set.

resultsA total of 594 patients were included. Past medical history of hypertension, presence of shortness of breath, drooling, and anterior tongue or pharyngeal swelling were independent predictors included in our final model and risk score. The Area Under the Curve for the Receiver Operator Characteristic curve was 87.55% (83.42%-91.69%) for the training set and 86.1% (77.62%-94.60%) for the test set.

conclusionsA simple scoring algorithm may aid in predicting angioedema patients at high and low risk for intubation. External validation of this score is necessary before wide-spread adoption of this decision aid.

Indexed as

AngioedemaIntubation, IntratrachealEmergency Service, HospitalEmergency TreatmentHumansRetrospective StudiesAirwayAllergic reactionAngioedemaCritical care

Identifiers

PMID36327748
PMCPMC10015633
OpenAlexW4306768028

What OpenQuestion holds

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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.