Background And Purpose: Seizures commonly occur in patients with intracerebral hemorrhage (ICH). Anticonvulsants are commonly used for preventing seizures in patients with ICH. Thus, patients with ICH at high risk of seizures must be identified. The study aims to elucidate whether double the score of cortex involvement in ICH patients can increase accuracy of CAVE score for predicting late seizures.

Method: This retrospective analysis of the medical records of surviving patients admitted between June 1, 2013, and December 31, 2019. Validated the CAVE score and modified it (CAVE2). The main outcome of patients with ICH was seizures. The first seizures occurring within 7 days after a stroke were defined as early seizures. Seizures occurring after 1 week of stroke onset, including patients who had experienced early seizures or patients who had not, were defined as late seizures. CAVE and CAVE2 scores were validated using the cohort. The accuracy and discrimination of those two scores were accessed by the area under the operating characteristic curve. Akaike information criterion, integrated discrimination improvement, and continuous net reclassification improvement were used to assess the performance of the CAVE and CAVE2 scores.

Results: In the cohort showed that late seizures occurred in 12.7% (52/408) of patients with ICH. Male sex, age > 65 years, cortex involvement, and early seizures were associated with the occurrence of late seizures, with odds ratios of 2.09, 2.04, 4.12, and 3.78, respectively. The risk rate of late seizures was 6.66% (17/255), 14.8% (17/115), and 47.4% (18/38) for CAVE scores ≤ 1, 2, and ≥ 3, and 4.6% (12/258), 18.3% (13/71), and 54.4 (20/37) for CAVE2 scores ≤ 1, 2, and ≥ 3 respectively. The C-statistics for the CAVE and CAVE2 scores were 0.73 and 0.74 respectively.

Conclusion: The CAVE score can identify patients with ICH and high risk for late seizures. The CAVE can be modified by changing the score of cortex involvement to 2 points to improve accuracy in predicting late seizures in patients with ICH.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10729474PMC
http://dx.doi.org/10.1186/s12883-023-03510-1DOI Listing

Publication Analysis

Top Keywords

late seizures
28
patients ich
24
cave score
16
seizures
16
predicting late
12
seizures patients
12
cortex involvement
12
early seizures
12
cave cave2
12
patients
11

Similar Publications

Mitochondrial encephalopathy, lactic acidosis, and stroke-like episodes (MELAS) syndrome is one of the most common mitochondrial disorders, typically presenting with symptoms before the age of 40. Epileptic seizures are a common manifestation, with both focal and generalized seizures being observed. EEG findings can be variable, with the most common patterns being slow background activity followed by epileptiform discharges.

View Article and Find Full Text PDF

Background And Objectives: The most effective antiseizure medications (ASMs) for poststroke seizures (PSSs) remain unclear. We aimed to determine outcomes associated with ASMs in people with PSS.

Methods: We systematically searched electronic databases for studies on patients with PSS on ASMs.

View Article and Find Full Text PDF

Differential Inhibition by Cenobamate of Canonical Human Nav1.5 Ion Channels and Several Point Mutants.

Int J Mol Sci

January 2025

Department of Anatomy, Animal Physiology and Biophysics, Faculty of Biology, University of Bucharest, Splaiul Independentei 91-95, 050095 Bucharest, Romania.

Cenobamate is a new and highly effective antiseizure compound used for the treatment of adults with focal onset seizures and particularly for epilepsy resistant to other antiepileptic drugs. It acts on multiple targets, as it is a positive allosteric activator of γ-aminobutyric acid type A (GABA) receptors and an inhibitor of neuronal sodium channels, particularly of the late or persistent Na current. We recently evidenced the inhibitory effects of cenobamate on the peak and late current component of the human cardiac isoform hNav1.

View Article and Find Full Text PDF

Background: Acute encephalopathy is a severe condition predominantly affecting children with viral infections. The purpose of this study was to elucidate the epidemiology, treatment, and management of acute encephalopathy. The study also aimed to understand how the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has affected epidemiological trends.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!