Stroke Characteristics as Predictors of New-onset Seizure in Patients with Acute Ischemic Stroke
Notice bibliographique
Résumé
INTRODUCTION: The current guidelines on diagnosis and management of new-onset seizures in stroke are not well defined, especially in the Indian setting. Our study aims at providing insight into the hospital prevalence risk of new-onset seizures following ischemic stroke and to correlate seizure risk with the characteristics of stroke and other clinical parameters. METHODS: A total of 127 patients were analyzed for the study where we assessed the clinical severity and the imaging severity of stroke using the National Institute of Health Stroke Scale (NIHSS) score and Alberta Stroke Program Early CT (ASPECT) score, respectively. Seizure-related variables including semiology, timing, and details of antiepileptic drugs (AEDs) were assessed under the domain of early and late poststroke seizures (PSSs). All patients were followed for 6 months for the seizure recurrence and change in Barthel index. In statistical analysis, quantitative variables were compared using the independent t-test/Mann-Whitney U test, and qualitative variables were correlated using Chi-square test/Fisher's exact test. Univariate and multivariate logistic regression was used to find out the significant risk factors of acute symptomatic seizure. RESULTS: The mean age of the study population was 59.72 years (±14.77), with a male predominance (60.63%). About 78.74% of the cases had an NIHSS score more than or equal to 6.24% had posterior circulation strokes and the rest had anterior circulation strokes. A cortical location of infarct was observed in 62.2% of cases and a subcortical location in 61.4% of cases. The prevalence of early PSSs observed in our study was 10.6%. Of those, 80% had generalized seizures, 13.3% had focal seizures, and 6.67% had focal seizures with secondary generalizations. No patient in the study group had late-onset seizures. Total leukocyte count, serum protein levels, serum uric acid levels, and erythrocyte sedimentation rate (ESR) values were associated with early seizures (p<0.05). Patients with early seizures were found to have a longer hospital stay (8 vs 6 days with p<0.05). In the Trial of Org 10,172 in Acute Stroke Treatment (TOAST) etiological classification, an acute stroke of undetermined etiology was found to have a significant association with the occurrence of early seizure in both univariate and multivariate analysis [p = 0.030; odds ratio (OR) 4.735 (1.160-22.576)]. There was no difference in change in the Barthel index among the two groups. CONCLUSION: There was no recurrence of seizures in those who defaulted for AED and one patient had a seizure even on AED. Prophylactic AEDs in stroke patients based on stroke characteristics could not be ascertained, but the sample size was small. Knowing the fact that antiepileptics cause sedation and increase the chance of aspiration, continuing AEDs in patients who develop acute symptomatic seizures should be judged judiciously.
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 | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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 ».