Electroencephalographic evolution of hypsarrhythmia: toward an early treatment option
Heike Philippi1, Gabriele Wohlrab, Uli Bettendorf
1Center of Developmental Neurology and Epileptology, Frankfurt, Germany. hphilippi@vae-ev.de
Insights
Early identification of West syndrome is possible using a specific electroencephalography (EEG) pattern. This prehypsarrhythmic EEG classification enables timely intervention for infants at risk of developing West syndrome.
Area of Science:
- Pediatric Neurology
- Epileptology
- Neurophysiology
Background:
- West syndrome is a severe form of epilepsy in infants.
- Early diagnosis and intervention are crucial for improving outcomes.
- The prehypsarrhythmic phase of electroencephalography (EEG) offers a potential window for early detection.
Purpose of the Study:
- To classify prehypsarrhythmic electroencephalographies (EEGs) in infants.
- To develop a classification system for early identification of West syndrome.
- To enable early treatment options for infants at risk.
Main Methods:
- Retrospective analysis of 61 serial non-REM sleep EEG records from 18 infants with symptomatic West syndrome.
- Development of a three-type EEG classification system corresponding to clinical states preceding West syndrome.
- Evaluation of follow-up data for patients with type 2 EEGs.
Main Results:
- A classification system identified three EEG types linked to clinical states preceding West syndrome.
- Type 2 EEG, characterized by bihemispheric epileptic discharges, indicated imminent hypsarrhythmia.
- Interrater reliability for the EEG classification was good (median weighted kappa 0.67).
- 16 out of 22 infants with type 2 EEGs developed West syndrome, while four received early treatment and remained stable.
Conclusions:
- A specific EEG pattern (type 2) can reliably identify infants at risk of West syndrome weeks before hypsarrhythmia onset.
- This classification facilitates early intervention studies and treatment.
- Early detection through EEG classification can significantly alter the course of West syndrome.
Purpose:
A retrospective study for a classification of prehypsarrhythmic elecroencephalographies (EEGs) was carried out to enable an early treatment option for West syndrome.
Methods:
Out of 39 infants with symptomatic West syndrome, 18 infants (age 3-14 months) with 61 serial non-REM sleep EEG records of the prehypsarrhythmic phase were identified. The prehypsarrhythmic phase encompassed 2 to 13 months (mean 4.5 months) after an initial insult. A classification system of three EEG types corresponding to the clinical states prior to West syndrome occurrence was developed. In addition, follow-up of all patients presenting with type 2 EEGs (n = 22) was evaluated.
Results:
Three clinical states and corresponding EEG types were classified. Clinical state 1 (weeks to months, silent phase) presented with (multi-)focal epileptic discharges <50% of the non-REM EEG recording time (type 1 EEG). Clinical state 2 (several weeks, beginning mental deterioration) was accompanied by type 2 EEG with bihemispheric epileptic discharges >50% of the non-REM EEG recording time within abnormal background activity (imminent hypsarrhythmia). Clinical state 3 (mental deterioration) was characterized by hypsarryhthmia. Interrater reliability of seven blinded raters was good (median weighted kappa 0.67). Out of 22 patients presenting with type 2 EEGs, two were lost for follow-up, and 16 developed West syndrome, whereas four were treated early with anti-epileptic drugs and remained stable.
Conclusions:
Infants with West syndrome could be reliably identified several weeks before the occurrence of hypsarrhythmia by a typical EEG pattern (type 2), thereby opening the way for early intervention studies.
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