Status epilepticus with prominent motor symptoms clusters into distinct electroclinical phenotypes
- PMID: 33932068
- PMCID: PMC8359986
- DOI: 10.1111/ene.14891
Status epilepticus with prominent motor symptoms clusters into distinct electroclinical phenotypes
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.
Keywords: hierarchical cluster analysis; phenotypes; status epilepticus.
© 2021 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.
Conflict of interest statement
Simona Lattanzi has received speaker's or consultancy fees from Eisai, GW Pharmaceuticals and UCB Pharma, and has served on advisory boards for Arvelle Therapeutics, BIAL and GW Pharmaceuticals. Francesco Brigo has acted as a consultant for Eisai. Eugen Trinka has received speaker's honoraria from UCB, Biogen, Gerot‐Lannach, Bial, Eisai, Takeda, Newbridge, Sunovion Pharmaceuticals Inc., LivaNova and Novartis, consultancy funds from UCB, Biogen, Gerot‐Lannach, Bial, Eisai, Takeda, Newbridge, GW Pharmaceuticals, Sunovion Pharmaceuticals Inc. and Novartis, and directorship funds from Neuroconsult GmbH. E. Trinka's institution received grants from Biogen, Red Bull, Merck, UCB, the European Union, the FWF
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References
-
- Neligan A, Shorvon SD. Frequency and prognosis of convulsive status epilepticus of different causes: a systematic review. Arch Neurol. 2010;67:931‐940. - PubMed
-
- Trinka E, Cock H, Hesdorffer D, et al. A definition and classification of status epilepticus—Report of the ILAE Task Force on Classification of Status Epilepticus. Epilepsia. 2015;56:1515‐1523. - PubMed
-
- Everitt BS. Statistical methods in medical investigations. London: Edward Arnold; 1994.
-
- Weatherall M, Shirtcliffe P, Travers J, Beasley R. Use of cluster analysis to define COPD phenotypes. Eur Respir J. 2010;36:472‐474. - PubMed
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