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Record W4405042856 · doi:10.1101/2024.12.02.24318363

Ultra-early hematoma expansion is associated with ongoing hematoma growth and poor functional outcome

2024· preprint· en· W4405042856 on OpenAlexaff
Chloe A. Mutimer, Teddy Y. Wu, Henry Zhao, Leonid Churilov, Bruce Campbell, Andrew Cheung, Atte Meretoja, Timothy Kleinig, Philip Choi, Henry Ma, Geoffrey Cloud, Rohan Grimley, Darshan Shah, Annemarei Ranta, Karim Mahawish, Vignan Yogendrakumar, Geoffrey A. Donnan, Stephen M. Davis, Nawaf Yassi

Bibliographic record

VenuemedRxiv · 2024
Typepreprint
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsHematomaMedicineIntracerebral hemorrhageSurgeryGlasgow Coma Scale

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION There are limited data on ultra-early hematoma growth dynamics and their clinical impact in primary intracerebral hemorrhage (ICH). We aimed to (a) estimate the incidence of hematoma expansion within the hyperacute period of ICH, (b) describe hematoma dynamics over time, (c) investigate the associations between ultra-early hematoma expansion and clinical outcomes after ICH, and (d) assess the effect of tranexamic acid on ultra-early hematoma expansion. METHODS We performed a planned secondary analysis of the STOP-MSU international multicenter randomized controlled trial. The trial compared tranexamic acid with placebo in 201 patients with primary ICH presenting within 2 hours of symptom onset. Repeat CT imaging ∼1 hour after treatment commencement was encouraged. Patients who underwent re-imaging up to 3 hours from baseline imaging were included in this descriptive study. Hematoma expansion was defined as either a ≥33% or ≥6 ml increase from baseline hematoma volume. RESULTS We included 105 of the 201 patients who had 1-hour imaging (median age 66 years, 40% female, 53% tranexamic acid). Median time from onset to baseline imaging was 74min (IQR 56-87 min), and between baseline and 1-hour imaging was 95 min (IQR 74-132 min). Forty-one patients (39%) had ultra-early hematoma expansion. These patients had larger baseline hematoma volumes (15.9 ml vs 9.1 ml, p=0.03) compared to those with no early hematoma expansion. Hematoma growth rate declined over time compared to the onset-to-baseline imaging period (clustered median regression p<0.01). In 92 patients with both 1-hour and 24-hour re-imaging, 9/31 (29%) of those with ultra-early hematoma expansion had further expansion between the 1-hour and 24-hour scan, compared to only 4/61(6.6%) without ultra-early expansion (p<0.01). Of those 61 patients, there were 10 (16.4%) who fulfilled the expansion definition by 24 hours. Ultra-early hematoma expansion was associated with poor functional outcomes (mRS 3-6; aOR 3.87 [1.21-12.40], p=0.02) and mortality (aOR 6.16 [95% CI 2.15-17.68], p<0.01), adjusted for treatment group. There was no observed effect of tranexamic acid treatment on ultra-early hematoma expansion (41% vs. 37%, p=0.65). CONCLUSIONS Most hematoma growth occurs in the ultra-early period. The presence of hyperacute hematoma expansion is associated with ongoing hematoma growth, poor functional outcomes and mortality, and represents a target for therapeutic intervention.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.032
GPT teacher head0.286
Teacher spread0.254 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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