Acute Basilar Artery Occlusion Thrombectomy Performed in Early (<6 hours) and Late Time Window (>6 hours) from the PC-SEARCH Registry (S24.002)
Notice bibliographique
Résumé
Objective: Evaluate the effect of early and late time window in a cohort of patients with BAO treated with thrombectomy. Background: Acute Basilar Artery Occlusion (BAO) results in high rate of morbidity and mortality. Recent randomized controlled trials from China demonstrated clinical benefit of mechanical thrombectomy. Design/Methods: PC-SEARCH is a large multi-centered retrospective registry of consecutive acute BAOs treated with thrombectomy with contributions from eight high-volume centers across the United States from July 2015 – December 2021. Patients were included in this registry if they received mechanical thrombectomy or intra-arterial thrombolysis within 24 hours of last seen normal. Registry includes data from baseline characteristics, pre- and intra- procedural data, radiographic and clinical outcomes. Good clinical outcomes were defined as mRS ≤ 3. Times were dichotomized into early (< 6 hours) and late (> 6 hours) time windows. Multivariate logical regression models were used to evaluate predictors of good outcome. Results: PC-SEARCH registry captured 519 patients, 479 with recorded outcomes at 90 days, Mean last-seen-normal to groin-puncture time was 132 min in the early time window and 765 min in the late time window patients; while NIHSS ( 17 vs 16, p 0.057), age (mean 65.8 vs 67.4, p 0.175), PC-ASPECTS (median 10 vs 9, p value 0.45), and door-groin puncture time (295 min vs 389 p 0.28) were not different between the two groups. Good recanalization (≥TICI 2b) was achieved in 82% of patients in the early time window and 81.5 % in the late time window (p 0.45). Rate of good outcome (45.8 vs 41.8, p value 0.41), sICH (7.1 vs 6.8 p 0.897) and mortality (40.3 vs 43.4 p 0.869) were similar between cohorts. Conclusions: In patients with acute basilar artery occlusion with excellent PC ASPECT score, similar rates of good clinical outcome can be achieved in the early and late time window. Disclosure: Dr. Aladamat has nothing to disclose. Dr. Mierzwa has nothing to disclose. Dr. Zaidi has nothing to disclose. Dr. Gharaibeh has nothing to disclose. Dr. Afreen has nothing to disclose. Sami Al Kasab has nothing to disclose. Dr. Nelson has nothing to disclose. Dr. Farooqui has nothing to disclose. Mr. Vivanco-Suarez has nothing to disclose. Dr. Jadhav has nothing to disclose. Dr. Desai has nothing to disclose. Dr. Toth has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Dynamed. Dr. Toth has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Microvention. Dr. Toth has received personal compensation in the range of $10,000-$49,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Medtronic. Dr. Alrohimi has nothing to disclose. Dr. Nguyen has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Vesalio. Dr. Nguyen has received personal compensation in the range of $0-$499 for serving on a Scientific Advisory or Data Safety Monitoring board for NIH. Dr. Nguyen has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Avania. Dr. Nguyen has received personal compensation in the range of $500-$4,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for AHA. The institution of Dr. Nguyen has received research support from Boston Medical Center. The institution of Dr. Nguyen has received research support from Society of Vascular and Interventional Neurology. Mr. Klein has nothing to disclose. Mohamad Abdalkader has nothing to disclose. Dr. Pandey has received personal compensation in the range of $500-$4,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for NIH and SVIN- Journal. Dr. Pandey has stock in FlexDex. Dr. Pandey has stock in NextGen. The institution of Dr. Pandey has received research support from NIH. The institution of Dr. Pandey has received research support from Focused ultrasound foundation. Dr. Pandey has received intellectual property interests from a discovery or technology relating to health care. Sravanthi Koduri has nothing to disclose. Nirav Vora has nothing to disclose. Vora Shivangi has nothing to disclose. Dr. Jumaa has nothing to disclose. Dr. Ortega Gutierrez has received personal compensation in the range of $10,000-$49,999 for serving as a Consultant for stryker. Dr. Ortega Gutierrez has received personal compensation in the range of $10,000-$49,999 for serving as a Consultant for medtronic. Dr. Ortega Gutierrez has received personal compensation in the range of $5,000-$9,999 for serving as a Consultant for microvention. Dr. Ortega Gutierrez has received personal compensation in the range of $0-$499 for serving as an officer or member of the Board of Directors for SVIN. The institution of Dr. Ortega Gutierrez has received research support from stryker. The institution of Dr. Ortega Gutierrez has received research support from Siemens. The institution of Dr. Ortega Gutierrez has received research support from IschemiaView. The institution of Dr. Ortega Gutierrez has received research support from Medtronic.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».