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Record W7117475151 · doi:10.29173/cjen534

Pre-hospital fibrinogen levels in major trauma patients transported by helicopter emergency medical service: determining who might benefit

2025· article· W7117475151 on OpenAlexvenueno aff
O'Dochartaigh Domhnall, Elfriede Cross, Efrem Violato, Xenia Cravetchi, Christopher Picard

Bibliographic record

VenueCanadian Journal of Emergency Nursing · 2025
Typearticle
Language
FieldMedicine
TopicTrauma, Hemostasis, Coagulopathy, Resuscitation
Canadian institutionsnot available
Fundersnot available
KeywordsFibrinogenOdds ratioInjury Severity ScoreConfidence intervalEmergency departmentLogistic regressionOddsPacked red blood cells

Abstract

fetched live from OpenAlex

Background Low fibrinogen contributes to poor outcomes in patients with traumatic coagulopathy. Upon Emergency Department (ED) arrival, some major trauma patients are coagulopathic, and have low fibrinogen levels, though who is not clear. In helicopter transported trauma patients, who are transfused blood during transport, we seek to identify prehospital clinical variables that are associated with ED hypofibrinogenemia. Methods We conducted a health records review of consecutive helicopter EMS transported patients to two trauma centers who received one or more units of packed red blood cells (pRBCs) during transport. Primary outcome was first ED fibrinogen level which, for statistical analyses, was transformed to a binomial variable (<1.6g/L and > 1.6g/L) based on provincial transfusion thresholds. Direct multivariate logistic regression was used. 65 patients were evaluated for outcomes associations. The independent variables: systolic blood pressure (sBP)<90 with EMS before resuscitation; sBP <90 after crystalloid administration but before pRBCs, sBP<90 after pRBC infusion; shock index (SI); and sBP. Odds ratios and 95% confidence intervals were reported for all significant associations. Results Ongoing sBP<90 after pRBC was a significant predictor of low fibrinogen, p = .03: with 7.4(1.2 – 45.89) times greater odds of fibrinogen < 1.6g/l. This variable also was a significant predictor of INR > 1.5, p = .013. Those with sBP<90 after pRBC had a 17.5(1.8 – 169.2) greater odds of having an INR > 1.5. An ED arrival SI ≥ 1.5 had 8.93(1.9 – 42.6) times greater odds of having fibrinogen < 1.6 g/l than those with an ED SI < 1, p = .006. Compared with ED SI 1 – 1.49 group, those with an EDSI ≥ 1.5 had 6.9 times greater odds of having fibrinogen < 1.6 g/l, p = .02, OR = 6.9(1.3 – 36.1). Outcomes (alive/14-day mortality from hemorrhage or multi-organ failure/ Mortality other causes) for sBP<90 post pRBC were 20/34(58.8%)/7/34(20.5%)/7/34 (20.5%) compared to not persistently hypotensive: 29/31(93.5%)/1/31(3%)/1/31(3%) Implications and lessons learned In major trauma patients transported by helicopter EMS who received prehospital transfusion, persistent hypotension after prehospital blood transfusion and initial ED shock index ≥ 1.5 were both associated with low initial ED fibrinogen levels. Identification of those trauma patients more likely to have low fibrinogen provides earlier opportunity for targeted intervention with fibrinogen replacement.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.300
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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