The Electroencephalographic Evolution of Electrical Status: Is it Possible to Diagnosis ESES from 180 Seconds of Sleep?

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Ucar H., Arhan E., Aydin K., Hırfanoğlu T., Serdaroğlu A.

NEUROLOGICAL SCIENCES AND NEUROPHYSIOLOGY, cilt.39, sa.1, ss.21-27, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 39 Sayı: 1
  • Basım Tarihi: 2022
  • Doi Numarası: 10.4103/nsn.nsn_136_21
  • Dergi Adı: NEUROLOGICAL SCIENCES AND NEUROPHYSIOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.21-27
  • Anahtar Kelimeler: Continuous spikes and waves during slow sleep, electrical status epilepticus in sleep, electroencephalogram, spike frequency, spike-wave index, spike-wave index percentage, STATUS EPILEPTICUS, CONTINUOUS SPIKES, SLOW SLEEP, WAVES, EEG, ENCEPHALOPATHY, CHILDREN
  • Gazi Üniversitesi Adresli: Evet

Özet

Purpose: Electrical status epilepticus during slow sleep (ESES) is an electroclinical syndrome with a specific electroencephalogram (EEG) pattern characterized by epileptic seizures, cognitive decline, and behavioral problems. The EEG pattern is defined by the percentage of the spike-wave index (SWI) in nonrapid eye movement (NREM) sleep without a clear cut-off value. The purpose of this study is to determine the significance of SWI calculation in the first 180 s of the NREM sleep stage. Methods: Patients with tonic seizures and those with SWI levels of < 50% were excluded from the study. One hundred patients were enrolled in the study (typical ESES: 85; atypical ESES: 15). EEG findings were evaluated according to the following points: 1-ESES type: atypical ESES for SWI between 50% and & nbsp;85% or typical ESES for >= 85%; 2-SWI calculation methods: Short method and long conventional method; 3-SWI percentage and spike frequency (SF). Results: A moderate correlation was determined between spike-wave percentage (SWP) and SF (r = 0.628; P < 0.001). A strong positive correlation was determined between the short method and long conventional method (r = 0.888; P < 0.001). In multivariate logistic regression with the SWI short method and the number of spikes in the first 180 s of NREM, only the SWI short method was found to predict typical ESES regardless of other factors (odds ratio: 1.18; P = 0.001). The optimal predictive value of the SWI short method for predicting typical ESES was > 85, with sensitivity of 81.2%, and specificity of 73.3% (+PV: 94.5%, -PV: 40.7%; AUC +/- SE = 0.850 +/- 0.05; P < 0.001). Conclusion: Evaluating EEG epileptiform activities with objective and reproducible well-defined measurements such as SWP and SF allows for the comparison of different patient groups. We think that a shorter method for diagnosing ESES would potentially provide increased cost savings and patient comfort.