Stroke Characteristics as Predictors of New-onset Seizure in Patients with Acute Ischemic Stroke
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".