Literature DB >> 15660781

Seizure clustering: risks and outcomes.

Sheryl R Haut1, Shlomo Shinnar, Solomon L Moshé.   

Abstract

PURPOSE: Patients with epilepsy often experience seizures in clusters. In this preliminary study, we examined the prevalence of self-reported clustering and identified potential risk factors and outcomes associated with reported clustering for further analysis in an ongoing prospective diary study.
METHODS: Detailed intake questionnaires were administered. Subjects reporting their typical seizure pattern to be three or more seizures within a 24-h period were classified as clusterers. Magnetic resonance imaging (MRI) and EEG data were obtained, and epilepsy was classified by International League Against Epilepsy (ILAE) criteria. All subjects completed Beck Anxiety and Depression Inventories, and Quality of Life in Epilepsy testing.
RESULTS: Overall, 29% of subjects reported typical seizure clustering. Extratemporal lobe epilepsy [p = 0.02; OR, 3.0 (1.1-7.8)] was significantly associated with reported seizure clustering. Remote symptomatic epilepsy was associated with clustering [p = 0.03; OR, 2.3 (1.1-4.3)], particularly in association with a history of head trauma with loss of consciousness before epilepsy onset [p = 0.003; OR, 4.2 (1.6-11.1)], although this analysis was limited. Reported clustering was significantly associated with a history of convulsive status epilepticus (SE) [p = 0.029; OR, 3.0 (1.1-8.3)], other seizure-related hospitalization [p = 0.006; OR, 5.3 (1.5-17.6)], and worse seizure control (p = 0.004). Quality-of-life measures were not significantly associated with reported clustering.
CONCLUSIONS: These preliminary results identify extratemporal epilepsy and possibly head trauma as potential risk factors for reported seizure clustering and indicate a significant association between reported clustering and convulsive SE. Additionally, seizure clustering appears to be a marker for more intractable epilepsy. The ongoing diary study will refine the definition of seizure clustering and further evaluate specific predictors of poor and favorable outcomes of clustering.

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Mesh:

Year:  2005        PMID: 15660781     DOI: 10.1111/j.0013-9580.2005.29004.x

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  23 in total

1.  Bursts of seizures in long-term recordings of human focal epilepsy.

Authors:  Philippa J Karoly; Ewan S Nurse; Dean R Freestone; Hoameng Ung; Mark J Cook; Ray Boston
Journal:  Epilepsia       Date:  2017-01-13       Impact factor: 5.864

2.  Does Seizure Duration Predict the Termination of a Seizure Cluster?

Authors:  Mohamad Koubeissi
Journal:  Epilepsy Curr       Date:  2016 Nov-Dec       Impact factor: 7.500

3.  Treatment of catamenial epilepsy is still up in the air.

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Review 4.  Outpatient pharmacotherapy and modes of administration for acute repetitive and prolonged seizures.

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Journal:  CNS Drugs       Date:  2015-01       Impact factor: 5.749

5.  ECoG studies of valproate, carbamazepine and halothane in frontal-lobe epilepsy induced by head injury in the rat.

Authors:  Clifford L Eastman; Derek R Verley; Jason S Fender; Nancy R Temkin; Raimondo D'Ambrosio
Journal:  Exp Neurol       Date:  2010-04-24       Impact factor: 5.330

6.  Referral pattern for epilepsy surgery after evidence-based recommendations: a retrospective study.

Authors:  Zulfi Haneef; John Stern; Sandra Dewar; Jerome Engel
Journal:  Neurology       Date:  2010-08-24       Impact factor: 9.910

7.  Relationship of number of seizures recorded on video-EEG to surgical outcome in refractory medial temporal lobe epilepsy.

Authors:  Rup Kamal Sainju; Bethany Jacobs Wolf; Leonardo Bonilha; Gabriel Martz
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8.  Identifying seizure clusters in patients with epilepsy.

Authors:  S R Haut; R B Lipton; A J LeValley; C B Hall; S Shinnar
Journal:  Neurology       Date:  2005-10-25       Impact factor: 9.910

9.  Continuous electroencephalographic monitoring with radio-telemetry in a rat model of perinatal hypoxia-ischemia reveals progressive post-stroke epilepsy.

Authors:  Shilpa D Kadam; Andrew M White; Kevin J Staley; F Edward Dudek
Journal:  J Neurosci       Date:  2010-01-06       Impact factor: 6.167

Review 10.  Computer modelling of epilepsy.

Authors:  William W Lytton
Journal:  Nat Rev Neurosci       Date:  2008-07-02       Impact factor: 34.870

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