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Malignant Brain Edema and Associated Factors in Large Hemispheric Infarction Following Reperfusion Therapy

2024· article· en· W4405888485 on OpenAlexaboutno aff
Jie Li, Wendan Tao, Deren Wang, Junfeng Liu, Ming Liu

Bibliographic record

VenueCurrent Neurovascular Research · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsBrain edemaBrain infarctionEdemaInfarctionMedicineInternal medicineCardiologyMyocardial infarctionIschemia

Abstract

fetched live from OpenAlex

OBJECTIVE: This study aimed to explore Malignant Brain Edema (MBE) and associated factors in patients with Large Hemispheric Infarction (LHI) following early reperfusion therapy. METHODS: We consecutively and retrospectively enrolled a cohort of 114 LHI patients who had received early reperfusion therapy, including Intravenous Thrombolysis (IVT) or Endovascular Therapy (EVT) at the hyperacute stage of stroke between January 2009 and December 2018. MBE was defined as a midline shift ≥5 mm, accompanied by signs of herniation. Multivariate logistic analyses were conducted to identify independent factors associated with MBE in LHI patients following early reperfusion therapy. RESULTS: Among the enrolled patients, 69 (60.53%) were treated with IVT alone and 45 (39.47%) with EVT. Successful recanalization was achieved in 56 (49.12%) patients, while complete recanalization was achieved in 38 (33.33%) patients. After early reperfusion therapy, 50 (43.86%) developed MBE in LHI patients. The MBE group showed higher rates of in-hospital death (54% vs. 4.69%), 3-month mortality (64% vs. 10.94%), and 3-month unfavorable outcomes (90% vs. 64.06%) (all p<0.01). Neither different reperfusion therapy (EVT vs. IVT alone) nor different recanalization status (complete recanalization or not) was independently associated with the development of MBE in LHI patients following reperfusion therapy in multivariate analyses. MBE was independently associated with age [Odds Ratio (OR) 0.953, 95% confidence interval (CI) 0.910-0.999, p =0.044], right hemisphere stroke (OR 4.051, 95% CI 1.035-15.860, p =0.045), previous ischemic stroke or TIA (OR 0.090, 95% CI 0.014-0.571, p =0.011), and hypodensity >1/3 MCA territory (OR 8.071, 95% CI 1.878-34.693, p =0.005). Meanwhile, patients with lower baseline Alberta Stroke Program Early CT Score (ASPECTS) had a trend of higher incidence of MBE following reperfusion therapy (OR 0.710, 95% CI 0.483-1.043, p =0.081). CONCLUSION: MBE occurred in nearly one-half of LHI patients following early reperfusion therapy and was related to poor outcomes. An increased risk of MBE was found to be associated with younger age, right hemisphere stroke, absence of a history of ischemic stroke or TIA, and hypodensity >1/3 MCA region on baseline CT images.

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)0.002
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.062
GPT teacher head0.377
Teacher spread0.314 · 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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Citations2
Published2024
Admission routes1
Has abstractyes

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