Objective: We undertook a retrospective study of children who present with significant activation of paroxysmal discharges during sleep to examine the clinical spectrum of disorders that present with such an EEG abnormality. Background: Electrical status epilepticus in sleep (ESES) is an electrographic pattern characterized by nearly continuous spike-wave discharges inslow wave sleep, usually with a frequency of 1.5-3 Hz and usually diffuse and bilateral in distribution. A variety of neurocognitive and behavioral problems have been associated with this EEG pattern. Methods: We conducted a retrospective reviewof 1497 EEGrecords of patients admitted to University of California, Los Angeles (UCLA) for overnight video-EEG monitoring during a 5 year interval. Demographic, clinical and electroencephalographic variables were evaluated. Results: EEG records for 102 patients meeting criteria were identified. Clinical informationwasavailable for 90 of those patients. Eighteen of these patients could be diagnosed with Landau-Kleffner syndrome (LKS). Key findings include: (1) neuroimaging abnormalities were uncommon inour LKS patients; (2) among children who do not fit the specific diagnostic criteria for LKS, a spike-wave index (SWI)>50% was more likely to be associated with global developmental disturbances than SWI ≤50% (p < 0.05); (3) Children with generalized discharges were more likely toexperience severe or global developmental disturbance than those with focal abnormalities, without reaching statistical significance (p = 0.07). Conclusions: Severity of ESES can vary overtime between and within patients and clinical status does not always directly correlate with SWI. However, the prognosis of LKS is substantially better than CSWS and these two disorders could be classified in a dichotomous manner rather than be seen as two points along a continuum.
- Continuous spikes and waves during slow wave sleep
- Developmental delay
- Electrical status epilepticus in sleep
- Landau-Kleffner syndrome
ASJC Scopus subject areas
- Clinical Neurology