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The National Institutes of Health Stroke Scale (NIHSS) score is the most frequently used score worldwide for assessing the clinical severity of a stroke. Prior research suggested an association between acute symptomatic seizures after stroke and poorer outcome. We determined the frequency of acute seizures after ischemic stroke in a large population-based registry in a central European region between 2004 and 2016 and identified risk factors for acute seizures in univariate and multivariate analyses. Additionally, we determined the influence of seizures on morbidity and mortality in a matched case–control design. Our analysis of 135,117 cases demonstrated a seizure frequency of 1.3%. Seizure risk was 0.6% with an NIHSS score at admission <3 points and increased up to 7.0% with >31 score points. Seizure risk was significantly higher in the presence of acute non-neurological infections (odds ratio: 3.4; 95% confidence interval: 2.8–4.1). A lower premorbid functional level also significantly increased seizure risk (OR: 1.7; 95%CI: 1.4–2.0). Mortality in patients with acute symptomatic seizures was almost doubled when compared to controls matched for age, gender, and stroke severity. Acute symptomatic seizures increase morbidity and mortality in ischemic stroke. Their odds increase with a higher NIHSS score at admission.
In recent years, the clinical usefulness of the Wada test (WT) has been debated among researchers in the field. Therefore, we aimed to assess its contribution to the prediction of change in verbal learning and verbal memory function after epilepsy surgery. Data from 56 patients with temporal lobe epilepsy who underwent WT and subsequent surgery were analyzed retrospectively. Additionally, a standard neuropsychological assessment evaluating attentional, learning and memory, visuospatial, language, and executive function was performed both before and 12 months after surgery. Hierarchical linear regression analyses were used to determine the incremental value of WT results over socio-demographic, clinical, and neuropsychological characteristics in predicting postsurgical change in patients’ verbal learning and verbal memory function. The incorporation of WT results significantly improved the prediction models of postsurgical change in verbal learning (∆R2 = 0.233, p = .032) and verbal memory function (∆R2 = 0.386, p = .005). Presurgical performance and WT scores accounted for 41.8% of the variance in postsurgical change in verbal learning function, and 51.1% of the variance in postsurgical change in verbal memory function. Our findings confirm that WT results are of significant incremental value for the prediction of postsurgical change in verbal learning and verbal memory function. Thus, the WT contributes to determining the risks of epilepsy surgery and, therefore, remains an important part of the presurgical work-up of selected patients with clear clinical indications.