4.5 Article

Progressive slowing of clonic phase predicts postictal generalized EEG suppression

期刊

EPILEPSIA
卷 63, 期 12, 页码 3204-3211

出版社

WILEY
DOI: 10.1111/epi.17434

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资金

  1. Schweizerischer Nationalfonds zur Forderung der Wissenschaftlichen Forschung [320030-179240]
  2. PEDESITE Swiss NSF Sinergia project [SCRSII5 193 813/1]
  3. Swiss National Science Foundation (SNF) [320030_179240] Funding Source: Swiss National Science Foundation (SNF)

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Postictal generalized EEG suppression (PGES) is a surrogate marker for sudden unexpected death in epilepsy (SUDEP), and the gradually increasing inhibitory phenomena may lead to prolonged PGES. GCS type 1 and progressive slowing of clonic phase (PSCP) have been identified as predictors for PGES, highlighting the importance of recognizing these ictal phenomena for risk assessment.
Objective Postictal generalized electroencephalography (EEG) suppression (PGES) is a surrogate marker of sudden unexpected death in epilepsy (SUDEP). It is still unclear which ictal phenomena lead to prolonged PGES and increased risk of SUDEP. Semiology features of generalized convulsive seizure (GCS type 1) have been reported as a predictor of prolonged PGES. Progressive slowing of clonic phase (PSCP) has been observed in GCSs, with gradually increasing inhibitory periods interrupting the tonic contractions. We hypothesized that PSCP is associated with prolonged PGES. Methods We analyzed 90 bilateral convulsive seizures in 50 consecutive patients (21 female; age: 11-62 years, median: 31 years) recruited to video-EEG monitoring. Five raters, blinded to all other data, independently assessed the presence of PSCP. PGES and seizure semiology were evaluated independently. We determined inter-rater agreement (IRA) for the presence of PSCP, and we evaluated its association, as well as that of other ictal features, with the occurrence of PGES, prolonged PGES (>= 20 s) and very prolonged PGES (>= 50 s) using multivariate logistic regression analysis. Results We found substantial IRA for the presence of PSCP (percent agreement: 80%; beyond-chance agreement coefficient: .655). PSCP was an independent predictor of the occurrence of PGES and prolonged PGES (p < .001). All seizures with very prolonged PGES had PSCP. GCS type 1 was an independent predictor of occurrence of PGES (p = .02) and prolonged PGES (p = .03) but not of very prolonged PGES. Only half of the seizures with very prolonged PGES were GCS type 1. Significance PSCP predicts prolonged PGES, emphasizing the importance of gradually increasing inhibitory phenomena at the end of the seizures. Our findings shed more light on the ictal phenomena leading to increased risk of SUDEP. These phenomena may provide basis for algorithms implemented into wearable devices for identifying GCS with increased risk of SUDEP.

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