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Record W4414451959 · doi:10.1080/02688697.2025.2563127

Risk of post-operative cerebrospinal fluid leak and mortality in surgically managed traumatic brain injury patients: a single centre Canadian experience

2025· article· en· W4414451959 on OpenAlex
Melissa Lannon, Shannon Hart, Alexander Mastrolonardo, Arani Kulamurugan, Amanda Martyniuk, Angela Coates, Forough Farrokhyar, Sunjay Sharma

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBritish Journal of Neurosurgery · 2025
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury and Neurovascular Disturbances
Canadian institutionsHamilton Health SciencesMcMaster University
Fundersnot available
KeywordsTraumatic brain injuryCerebrospinal fluidLeakCerebrospinal fluid leakRisk assessmentYoung adultRetrospective cohort studyIntracranial pressure

Abstract

fetched live from OpenAlex

BACKGROUND: Cerebrospinal fluid (CSF) leaks pose significant risks to post-operative neurosurgical patients. has been limited investigation into post-operative CSF leak in trauma patients. The current study aims to provide an overview of the experience at a Canadian Level 1 Trauma Centre with neurosurgically managed traumatic brain injury (TBI) to improve understanding of prognostic factors for development of CSF leak and mortality among these patients. METHODS: A retrospective cohort study was performed at Hamilton General Hospital, a Level 1 Trauma Centre in Hamilton, Ontario. Univariate analyses were performed to determine potential prognostic factors for CSF leak and mortality. A multivariable analysis was conducted to determine prognostic factors for mortality among this cohort. RESULTS: A total of 211 patients were included in the analyses. Of these, 16 patients developed post-operative CSF leak. Univariate analyses determined fracture repair, presence of subdural haematoma or depressed skull fracture, penetrating injuries, mild TBI, increasing pre-operative midline shift, and re-operation were found to independently increase the risk of CSF leak. In-hospital mortality in our cohort was 36%. In univariate analyses increasing age, presence of subdural haematoma, pedestrian versus vehicle collision as mechanism of injury, and TBI severity were independently associated with mortality. In the multivariable analysis, only age and presenting GCS were found to significantly increase odds of mortality among our population. CSF leak was associated with a nearly 4-fold increase in odds of death, however this finding was not statistically significant. CONCLUSION: Age and severity of TBI are important predictors of mortality in neurosurgically managed TBI patients. CSF leak may be an important predictor of mortality, warranting further investigation.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.030
Threshold uncertainty score0.924

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.265
Teacher spread0.249 · 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