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Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
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Related Experiment Video

Updated: Oct 29, 2025

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Clinical phenotypes within nonconvulsive status epilepticus.

Simona Lattanzi1, Giada Giovannini2,3, Francesco Brigo4,5

  • 1Neurological Clinic, Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy.

Epilepsia
|July 10, 2021
PubMed
Summary

This study identified three distinct electroclinical phenotypes of nonconvulsive status epilepticus (NCSE) in adults. These clusters correlate with consciousness levels, EEG patterns, etiology, and treatment response, aiding in severity assessment and predicting outcomes.

Keywords:
hierarchical cluster analysisphenotypesstatus epilepticus

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Area of Science:

  • Neurology
  • Clinical Neuroscience
  • Epileptology

Background:

  • Nonconvulsive status epilepticus (NCSE) presents significant diagnostic and therapeutic challenges.
  • Understanding the heterogeneity of NCSE is crucial for effective patient management.
  • Distinct patient subgroups within NCSE may exhibit different clinical trajectories and treatment responses.

Purpose of the Study:

  • To identify and characterize distinct electroclinical phenotypes of nonconvulsive status epilepticus (NCSE).
  • To explore correlations between clinical presentation, electroencephalographic (EEG) findings, etiology, and treatment responsiveness in NCSE.
  • To develop a phenotyping approach for assessing NCSE severity and predicting treatment outcomes.

Main Methods:

  • Analysis of 229 consecutive NCSE episodes in patients aged 14 years and older.
  • Assessment of consciousness using the Glasgow Coma Scale (GCS).
  • Classification of NCSE etiology (symptomatic or unknown) and EEG patterns (LPDs, GPDs, BS).
  • Hierarchical cluster analysis using Pearson correlation to identify distinct NCSE phenotypes based on clinical and EEG data.
  • Classification of treatment response (responsive, refractory, superrefractory).

Main Results:

  • Three distinct electroclinical clusters of NCSE were identified.
  • Cluster 1: Severe impairment (GCS 3-8), spontaneous burst suppression (BS) on EEG, acute symptomatic etiology, and superrefractory to treatment.
  • Cluster 2: Moderate impairment (GCS 9-12), lateralized or generalized periodic discharges (LPDs/GPDs) on EEG, unknown etiology, and refractory to treatment.
  • Cluster 3: Mild impairment (GCS 13-15), absence of specific EEG abnormalities, remote/progressive symptomatic etiology, and responsive to treatment.

Conclusions:

  • Phenotyping NCSE into electroclinical clusters enhances understanding of its heterogeneity.
  • These clusters correlate pathological and clinical domains, aiding in severity assessment.
  • The identified phenotypes can help estimate the likelihood of treatment responsiveness in NCSE patients.