Evidence map›Paper›PMID 39343847›Full record

ArticleCJEM2024

Predicting the critical administration threshold in bleeding trauma patients.

Kevin Durr, Krishan Yadav, Michael Ho, Jacinthe Lampron, Alexandre Tran, Doran Drew, Andrew Petrosoniak, Christian Vaillancourt, Marie-Joe Nemnom, Kasim Abdulaziz and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in CJEM, 2024. 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
–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

1 citing paper in PubMed.

  1. A comparison of clinical prediction scores for massive traumatic hemorrhage.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    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

11 authors.

Kevin DurrDepartment of Emergency Medicine, University of Ottawa, The Ottawa Hospital, Ottawa, ON, Canada. kedurr@toh.ca.ORCID 0000-0003-3866-0437
Krishan YadavDepartment of Emergency Medicine, University of Ottawa, The Ottawa Hospital, Ottawa, ON, Canada.
Michael HoDepartment of Emergency Medicine, University of Ottawa, The Ottawa Hospital, Ottawa, ON, Canada.
Jacinthe LampronClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Alexandre TranDepartment of Critical Care, University of Ottawa, The Ottawa Hospital, Ottawa, ON, Canada.
Doran DrewDepartment of Emergency Medicine, University of Ottawa, The Ottawa Hospital, Ottawa, ON, Canada.
Andrew PetrosoniakDepartment of Emergency Medicine, University of Toronto, St. Michael's Hospital, Toronto, ON, Canada.
Christian VaillancourtDepartment of Emergency Medicine, University of Ottawa, The Ottawa Hospital, Ottawa, ON, Canada.
Marie-Joe NemnomClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Kasim AbdulazizClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Jeffrey J PerryDepartment of Emergency Medicine, University of Ottawa, The Ottawa Hospital, Ottawa, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDelays in promptly recognizing and appropriately managing hemorrhagic injuries contribute to preventable trauma related deaths nationwide. We sought to identify patient variables available at the time of emergency department arrival associated with meeting the critical administration threshold. METHODOLOGY: We conducted a trauma registry review from September 2016 to March 2020 of trauma team activations at The Ottawa Hospital, a Level 1 Trauma Center. Our primary outcome was the frequency of meeting the critical administration threshold. Secondary outcomes included time to critical administration threshold, 24-h all-cause mortality, and 30-day all-cause mortality. Multivariate logistic regression identified factors independently associated with meeting the critical administration threshold.

resultsWe assessed 762 patients, of which 78 (10.2%) met the critical administration threshold. The median time to critical administration threshold was 28.9 min. Mortality at 24 h occurred in 58 (7.6%) patients. Four variables available upon patient arrival predicted the critical administration threshold, including systolic blood pressure ≤ 90 mmHg (OR 6.6; 95% CI 3.7-12.0), Glasgow Coma Scale ≤ 8 (OR 5.9; 95% CI 3.2-10.6), heart rate ≥ 100 beats/minute (OR 4.4; 95% CI 2.4-8.1), and respiratory rate ≥ 20 breaths/min (OR 2.2; 95% CI 1.2-4.0).

conclusionWe identified four clinical variables readily available to physicians upon patient arrival associated with meeting the critical administration threshold: systolic blood pressure ≤ 90 mmHg, Glasgow Coma Scale ≤ 8, heart rate ≥ 100 beats/minute, and respiratory rate ≥ 20 breaths/min. Patients presenting with any of these clinical parameters should prompt physicians to consider ordering blood products immediately.

Indexed as

HemorrhageRegistriesTrauma CentersWounds and InjuriesAdultEmergency Service, HospitalFemaleGlasgow Coma ScaleHospital MortalityHumansInjury Severity ScoreMaleMiddle AgedOntarioRetrospective StudiesCritical Administration ThresholdTransfusionTrauma

Identifiers

PMID39343847

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.