Literature DB >> 33932068

Status epilepticus with prominent motor symptoms clusters into distinct electroclinical phenotypes.

Simona Lattanzi1, Giada Giovannini2,3, Francesco Brigo4,5, Niccolò Orlandi2,6, Eugen Trinka7,8,9, Stefano Meletti2,6.   

Abstract

BACKGROUND AND
PURPOSE: Status epilepticus (SE) is a heterogeneous condition and considerable variability exists in its etiology, semiology, electroencephalographic correlates, and response to treatment. The aim of the present study was to explore whether distinct phenotypes may be identified within SE with prominent motor symptoms.
METHODS: Consecutive episodes of SE with prominent motor symptoms in patients aged ≥14 years were included. Etiology of SE was defined as symptomatic (acute, remote, progressive) or unknown. Electroencephalogram (EEG) recordings were searched for lateralized periodic discharges (LPDs), generalized sharply and/or triphasic periodic potentials (GPDs), and spontaneous burst suppression (BS). According to treatment response, SE was classified into responsive, refractory and super-refractory. Average linkage hierarchical cluster analysis was performed with Pearson's correlation as a similarity measure.
RESULTS: A total of 240 episodes of SE were identified. Three major clusters were found. The first cluster linked focal motor SE evolving into non-convulsive SE (NCSE), presence of LPDs/GPDs on EEG, unknown etiology and treatment refractoriness. The second cluster linked convulsive and myoclonic SE evolving into NCSE, presence of spontaneous BS on EEG, progressive symptomatic etiology and super-refractoriness. The third cluster linked convulsive and myoclonic SE not evolving into other semiologies, absence of LPDs/GPDs/spontaneous BS on EEG, acute symptomatic etiology and treatment responsiveness.
CONCLUSIONS: Distinct electroclinical phenotypes characterized by different response to pharmacological intervention can be identified within the heterogeneity of SE with prominent motor phenomena.
© 2021 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.

Entities:  

Keywords:  hierarchical cluster analysis; phenotypes; status epilepticus

Year:  2021        PMID: 33932068     DOI: 10.1111/ene.14891

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  3 in total

1.  Retrospective External Validation of the Status Epilepticus Severity Score (STESS) to Predict In-hospital Mortality in Adults with Nonhypoxic Status Epilepticus: A Machine Learning Analysis.

Authors:  Francesco Brigo; Gianni Turcato; Giada Giovannini; Stefano Meletti; Simona Lattanzi; Niccolò Orlandi; Giulia Turchi; Arian Zaboli
Journal:  Neurocrit Care       Date:  2022-10-13       Impact factor: 3.532

Review 2.  Unraveling the enigma of new-onset refractory status epilepticus: a systematic review of aetiologies.

Authors:  Simona Lattanzi; Markus Leitinger; Chiara Rocchi; Sergio Salvemini; Sara Matricardi; Francesco Brigo; Stefano Meletti; Eugen Trinka
Journal:  Eur J Neurol       Date:  2021-11-02       Impact factor: 6.288

3.  Clinical phenotypes within nonconvulsive status epilepticus.

Authors:  Simona Lattanzi; Giada Giovannini; Francesco Brigo; Niccolò Orlandi; Eugen Trinka; Stefano Meletti
Journal:  Epilepsia       Date:  2021-07-09       Impact factor: 5.864

  3 in total

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