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Record W4409272680 · doi:10.1161/strokeaha.124.049188

Hemorrhagic Infarction Does Not Worsen Functional Outcomes in Noncardioembolic Ischemic Stroke: Secondary Analysis From PACIFIC-STROKE

2025· article· en· W4409272680 on OpenAlexaff
Chih‐Hao Chen, Ashkan Shoamanesh, Pablo Colorado, Feryal Saad, Robin Lemmens, Gian Marco De Marchis, Valeria Caso, Lizhen Xu, Laura Heenan, Jaime Masjuán, Hanne Christensen, Pooja Khatri, Hardi Mundl, Robert G. Hart, Eric E. Smith

Bibliographic record

VenueStroke · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsMcMaster UniversityPopulation Health Research InstituteUniversity of Calgary
Fundersnot available
KeywordsMedicineModified Rankin ScaleStroke (engine)Interquartile rangeInternal medicineOdds ratioCerebral infarctionMagnetic resonance imagingPlaceboLogistic regressionInfarctionCardiologyIschemic strokeIschemiaPathologyRadiologyMyocardial infarction

Abstract

fetched live from OpenAlex

BACKGROUND: Hemorrhagic infarction (HI) of acute ischemic stroke is frequent. Whether radiologically detected HI affects stroke outcomes has been less explored. METHODS: This was a secondary analysis of the PACIFIC-STROKE trial (Proper Dosing and Safety of the Oral FXIa Inhibitor BAY 2433334 in Patients Following Acute Noncardioembolic Stroke), which enrolled patients with acute noncardioembolic ischemic stroke receiving either asundexian or placebo in addition to guideline-based antiplatelet therapy. All patients received brain magnetic resonance imaging within 120 hours after stroke onset. Patients with hemorrhagic transformation detected on iron-sensitive sequences and classified as HI (H1 and H2) by the Heidelberg Bleeding Classification were included in the analysis. Primary outcome was poor functional outcome, defined by a modified Rankin Scale score of 2 to 6 at 90 days after stroke. RESULTS: From 1745 patients with adequate baseline brain magnetic resonance imaging (median, 47.8 hours; interquartile range, 28.2-69.4 hours after symptom onset), 10 with parenchymal hemorrhage and 191 without modified Rankin Scale score were excluded. Of the 1544 patients (mean age, 67 years; 67% male), 248 (16.1%) had HI type 1, and 189 (12.2%) had HI type 2. The proportion of patients with poor functional outcome was 27.4% (68/248) in HI type 1, 25.9% (49/189) in HI type 2, and 23.0% (255/1107) in no HI groups. In the multivariable logistic regression model adjusting for stroke severity, infarct size, type of iron-sensitive sequences used, and other covariates, the presence of HI type 1 (adjusted odds ratio, 1.05 [95% CI, 0.74-1.51]) or HI type 2 (adjusted odds ratio, 0.88 [95% CI, 0.57-1.34]) were not associated with poor functional outcome. Of note, the type of iron-sensitive sequences did not modify the results. CONCLUSIONS: The presence of HI did not lead to poor functional outcome on the modified Rankin Scale in patients with acute noncardioembolic ischemic stroke.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.009
GPT teacher head0.248
Teacher spread0.239 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

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