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Record W4392387662 · doi:10.1136/jnis-2023-021360

Anesthetic management for large vessel occlusion acute ischemic stroke with tandem lesions

2024· article· en· W4392387662 on OpenAlexaboutno aff
Mudassir Farooqui, Milagros Galecio‐Castillo, Ameer E Hassan, Afshin A. Divani, Mouhammad Jumaa, Marc Ribó, Nils Petersen, Michael Abraham, Johanna T Fifi, Waldo R. Guerrero, Amer Malik, James E. Siegler, Thanh N. Nguyen, Sunil A. Sheth, Albert J. Yoo, Guillermo Linares, Nazli Janjua, Darko Quispe‐Orozco, Wondwossen Tekle, Sara Y. Sabbagh, Syed Zaidi, Marta Olivé‐Gadea, Ayush Prasad, Abid Qureshi, Reade De Leacy, Mohamad Abdalkader, Sergio Salazar‐Marioni, Jazba Soomro, Weston Gordon, Charoskhon Turabova, Aarón Rodríguez-Calienes, Juan Vivanco‐Suarez, Maxim Mokin, Dileep R. Yavagal, Tudor G. Jovin, Santiago Ortega‐Gutiérrez

Bibliographic record

VenueJournal of NeuroInterventional Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGroinThrombolysisStroke (engine)Intracerebral hemorrhageAnestheticSedationOcclusionAnesthesiaOdds ratioLogistic regressionSurgeryInternal medicineSubarachnoid hemorrhageMyocardial infarction

Abstract

fetched live from OpenAlex

BACKGROUND: Endovascular therapy (EVT) stands as an established and effective intervention for acute ischemic stroke in patients harboring tandem lesions (TLs). However, the optimal anesthetic strategy for EVT in TL patients remains unclear. This study aims to evaluate the impact of distinct anesthetic techniques on outcomes in acute ischemic stroke patients presenting with TLs. METHODS: Patient-level data, encompassing cases from 16 diverse centers, were aggregated for individuals with anterior circulation TLs treated between January 2015 and December 2020. A stratification based on anesthetic technique was conducted to distinguish between general anesthesia (GA) and procedural sedation (PS). Multivariable logistic regression models were built to discern the association between anesthetic approach and outcomes, including the favorable functional outcome defined as 90-day modified Rankin Score (mRS) of 0-2, ordinal shift in mRS, symptomatic intracranial hemorrhage (sICH), any hemorrhage, successful recanalization (modified Thrombolysis In Cerebral Infarction (mTICI) score ≥2b), excellent recanalization (mTICI 3), first pass effect (FPE), early neurological improvement (ENI), door-to-groin and recanalization times, intrahospital mortality, and 90-day mortality. RESULTS: Among 691 patients from 16 centers, 595 patients (GA 38.7%, PS 61.3%) were included in the final analysis. There were no significant differences noted in the door-to-groin time (80 (46-117.5) mins vs 54 (21-100), P=0.607) and groin to recanalization time (59 (39.5-85.5) mins vs 54 (38-81), P=0.836) among the groups. The odds of a favorable functional outcome (36.6% vs 52.6%; adjusted OR (aOR) 0.56, 95% CI 0.38 to 0.84, P=0.005) and a favorable shift in the 90-day mRS (aOR 0.71, 95% CI 0.51 to 0.99, P=0.041) were lower in the GA group. No differences were noted for sICH (3.9% vs 4.7%, P=0.38), successful recanalization (89.1% vs 86.5%, P=0.13), excellent recanalization (48.5% vs 50.3%, P=0.462), FPE (53.6% vs 63.4%, P=0.05), ENI (38.9% vs 38.8%, P=0.138), and 90-day mortality (20.3% vs 16.3%, P=0.525). An interaction was noted for favorable functional outcome between the type of anesthesia and the baseline Alberta Stroke Program Early CT Score (ASPECTS) (P=0.033), degree of internal carotid artery (ICA) stenosis (P<0.001), and ICA stenting (P<0.001), and intraparenchymal hematoma between the type of anesthesia and intravenous thrombolysis (P=0.019). In a subgroup analysis, PS showed better functional outcomes in patients with age ≤70 years, National Institutes of Health Stroke Scale (NIHSS) score <15, and acute ICA stenting. CONCLUSIONS: Our findings suggest that the preference for PS not only aligns with comparable procedural safety but is also associated with superior functional outcomes. These results prompt a re-evaluation of current anesthesia practices in EVT, urging clinicians to consider patient-specific characteristics when determining the optimal anesthetic strategy for this patient population.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.290
Teacher spread0.267 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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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Citations6
Published2024
Admission routes1
Has abstractyes

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