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Record W4409180268 · doi:10.3171/2024.12.jns242004

Timing of pharmacological venous thromboembolism prophylaxis after firearm-related penetrating brain injury

2025· article· en· W4409180268 on OpenAlexaff
Jiaqi Liu, Tej D. Azad, Foad Kazemi, Kathleen R. Ran, Megan Parker, Vikas N. Vattipally, Carlos Aguilera, Wuyang Yang, Caitlin W. Hicks, Elliott R. Haut, Christopher D. Witiw, Morgan Schellenberg, Debraj Mukherjee, James Byrne

Bibliographic record

VenueJournal of neurosurgery · 2025
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury and Neurovascular Disturbances
Canadian institutionsUniversity of British ColumbiaSt. Michael's Hospital
Fundersnot available
KeywordsMedicineCraniotomyGlasgow Coma ScaleTraumatic brain injuryDecompressive craniectomyCohortTrauma centerSurgeryLogistic regressionRetrospective cohort studyAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Mounting evidence supports early initiation of pharmacological venous thromboembolism (VTE) prophylaxis after traumatic brain injury. However, the effectiveness and safety of VTE prophylaxis after penetrating brain injury (PBI) is unclear. The objective of this study was to evaluate the effectiveness and safety of pharmacological VTE prophylaxis in patients with firearm-related PBI. METHODS: This was a retrospective cohort study of patients aged ≥ 16 years with isolated firearm-related PBI treated at level I or II trauma centers participating in the American College of Surgeons Trauma Quality Improvement Program (2017-2019). The exposure was the timing of VTE prophylaxis initiation measured in days from admission (prophylaxis delay). The primary outcome was VTE. Secondary outcomes were the need for late neurosurgical decompression (craniotomy/craniectomy after 48 hours) and in-hospital mortality. Hierarchical logistic regression estimated the association between prophylaxis delay and the outcomes after adjusting for patient baseline and injury characteristics. Effect modification was tested to determine if observed associations varied by type of early neurosurgical intervention: craniotomy/craniectomy, intracranial monitor/drain placement, or no intervention. RESULTS: The authors identified 2012 patients with isolated firearm-related PBI. The median presenting Glasgow Coma Scale score was 8 (IQR 3-14) and 31% had an abnormal pupillary response. Nearly half of the cohort received early neurosurgical intervention (craniotomy/craniectomy, 40%; intracranial monitor/drain, 8%). The median VTE prophylaxis delay was 3 days (IQR 2-5 days). VTE occurred in 6% of patients. Overall, late neurosurgical decompression was required in 9%, and 10% died. After risk adjustment, each additional day of prophylaxis delay was associated with 6% increased odds of VTE (OR 1.06 per day, 95% CI 1.02-1.11). However, the association between timing of prophylaxis and late neurosurgical decompression depended on type of early neurosurgical intervention. Specifically, each day of prophylaxis delay was associated with decreased odds of late decompression among patients who underwent intracranial monitor/drain only (OR 0.51, 95% CI 0.35-0.75) or no intervention (OR 0.85, 95% CI 0.75-0.95). Timing of prophylaxis was not associated with late neurosurgical decompression for patients who underwent early craniotomy/craniectomy. There was no association with in-hospital mortality. CONCLUSIONS: Among patients with firearm-related PBI, earlier pharmacological prophylaxis was associated with decreased odds of VTE. However, earlier prophylaxis was also associated with late neurosurgical decompression among patients who underwent intracranial monitor/drain placement or no intervention, an effect not observed for patients who underwent early craniotomy/craniectomy. These findings suggest that while early prophylaxis should be prioritized, prospective study is needed to clarify safe timing of initiation in different patient groups.

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)0.005
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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.309
Teacher spread0.285 · 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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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