E-099 Does Anterior Cerebral Artery Vasospasm after Spontaneous Subarachnoid Hemorrhage Predict Short Term Cognitive Outcome
Notice bibliographique
Résumé
Background Spontaneous subarachnoid hemorrhage (SAH) is a disabling form of hemorrhagic stroke that affects young individuals and is responsible for short-term and long-term cognitive deficits. Delayed cerebral ischemia (DCI) is postulated to be the major determinant for this morbidity. Cerebral vasospasm (CVS) is a major contributor of DCI. Treatment of symptomatic CVS can consist of intra-arterial vasodilators or angioplasty. This study reports preliminary data on cognitive outcomes in a prospective cohort of patients with spontaneous SAH who received vasodilator therapy for anterior cerebral artery (ACA) vasospasm. Aim 1. Determine role of delayed cerebral ischemia (DCI) and CVS after spontaneous SAH on short-term cognitive outcome. 2. Determine if ACA vasospasm predicts short-term cognitive outcome. 3. Determine if treatment of ACA vasospasm results in improvement in short-term cognitive outcome. Methods Thirty-five patients with clinical follow-up at 3 months after SAH were selected from a prospective cohort. DCI was defined as a new hypodensity on CT scans located in a vascular territory, with or without symptoms (decrease of consciousness or focal deficits), due to CVS and not explained by other causes (e.g. rebleeding, hydrocephalus, cardioembolic sources, hypoxia, electrolyte disturbances, or seizures). CVS was defined as ≥25% narrowing on digital subtraction angiogram (aCVS) or Transcranial Doppler mean flow velocity ≥120 cm/sec (sCVS). Cognitive outcomes were assessed using Montreal Cognitive Outcome Assessment (MOCA) and poor cognitive outcome was defined as MOCA score <26. Fisher’s exact tests and logistic regression were performed to analyze the study questions. Results Average age of the study cohort was 53.1 ± 11.5 years with 71% of the patients being women. DCI occurred in 16/35 (45.7%) patients. In the absence of sCVS, DCI predicted poor cognitive outcomes (3/5 with DCI, 60% vs 1/10 without DCI, 10%; p = 0.04). Patients with anterior cerebral artery or anterior communicating complex (ACA/ACom) related aneurysmal SAH were less likely to have MOCA < 26 (ACA/ACom vs others (3/12, 25% vs 11/23, 47.8%; p = 0.28). Of the 22 patients who underwent digital subtraction angiogram for clinical indication, 10 were found to have ACA CVS and were treated. Patients with SAH due to ACA/ACom location aneurysms displayed low MOCA scores less often than those with SAH in other locations (2/5; 40% vs 4/5; 80%; p = 0.15). A two-factor logistic regression model found that, while holding treatment status constant, the odds of a poor cognitive outcome were 4.6 times higher (90% CI on odds ratio: 1.0, 21.3; p = 0.0998) among those with SAH outside of ACA/ACom aneurysms. Conclusions Our study reaffirms that occurrence of DCI after SAH predicts poor cognitive outcome at 3 months. The fact that cognitive outcomes were not superior in patients treated for CVS suggests that a complex pathophysiology determines outcomes after SAH. Relatively poor cognitive outcome among patients with SAH in locations other than ACA/ACom alludes to involvement of functional neural network apart from frontal lobe based networks that needs further investigation. Disclosures V. Pandav: None. B. Bohnstedt: None. L. Yearout: None. D. Thompson: None. B. Ray: None.
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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 | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 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 ».