Literature DB >> 25695133

Seizure clusters: characteristics and treatment.

Sheryl R Haut1.   

Abstract

PURPOSE OF REVIEW: Many patients with epilepsy experience 'clusters' or flurries of seizures, also termed acute repetitive seizures (ARS). Seizure clustering has a significant impact on health and quality of life. This review summarizes recent advances in the definition and neurophysiologic understanding of clustering, the epidemiology and risk factors for clustering and both inpatient and outpatient clinical implications. New treatments for seizure clustering/ARS are perhaps the area of greatest recent progress. RECENT
FINDINGS: Efforts have focused on creating a uniform definition of a seizure cluster. In neurophysiologic studies of refractory epilepsy, seizures within a cluster appear to be self-triggering. Clinical progress has been achieved towards a more precise prevalence of clustering, and consensus guidelines for epilepsy monitoring unit safety. The greatest recent advances are in the study of nonintravenous route of benzodiazepines as rescue medications for seizure clusters/ARS. Rectal benzodiazepines have been very effective but barriers to use exist. New data on buccal, intramuscular and intranasal preparations are anticipated to lead to a greater number of approved treatments. Progesterone may be effective for women who experience catamenial clusters.
SUMMARY: Seizure clustering is common, particularly in the setting of medically refractory epilepsy. Clustering worsens health and quality of life, and the field requires greater focus on clarifying of definition and clinical implications. Progress towards the development of nonintravenous routes of benzodiazepines has the potential to improve care in this area.

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Year:  2015        PMID: 25695133     DOI: 10.1097/WCO.0000000000000177

Source DB:  PubMed          Journal:  Curr Opin Neurol        ISSN: 1350-7540            Impact factor:   5.710


  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.  Seizures and epilepsy after intracerebral hemorrhage: an update.

Authors:  Laurent Derex; Sylvain Rheims; Laure Peter-Derex
Journal:  J Neurol       Date:  2021-02-10       Impact factor: 4.849

3.  Different as night and day: Patterns of isolated seizures, clusters, and status epilepticus.

Authors:  Daniel M Goldenholz; Kshitiz Rakesh; Kush Kapur; Marina Gaínza-Lein; Ryan Hodgeman; Robert Moss; William H Theodore; Tobias Loddenkemper
Journal:  Epilepsia       Date:  2018-04-23       Impact factor: 5.864

4.  Natural variability in seizure frequency: Implications for trials and placebo.

Authors:  Juan Romero; Phil Larimer; Bernard Chang; Shira R Goldenholz; Daniel M Goldenholz
Journal:  Epilepsy Res       Date:  2020-03-06       Impact factor: 3.045

5.  Epilepsy as a dynamic disease: A Bayesian model for differentiating seizure risk from natural variability.

Authors:  Sharon Chiang; Marina Vannucci; Daniel M Goldenholz; Robert Moss; John M Stern
Journal:  Epilepsia Open       Date:  2018-04-20

6.  Characteristics of large patient-reported outcomes: Where can one million seizures get us?

Authors:  Victor Ferastraoaru; Daniel M Goldenholz; Sharon Chiang; Robert Moss; William H Theodore; Sheryl R Haut
Journal:  Epilepsia Open       Date:  2018-07-04

7.  Stoichioproteomics reveal oxygen usage bias, key proteins and pathways in glioma.

Authors:  Yongqin Yin; Bo Li; Kejie Mou; Muhammad T Khan; Aman C Kaushik; Dongqing Wei; Yu-Juan Zhang
Journal:  BMC Med Genomics       Date:  2019-08-29       Impact factor: 3.063

8.  Can machine learning improve randomized clinical trial analysis?

Authors:  Juan Romero; Sharon Chiang; Daniel M Goldenholz
Journal:  Seizure       Date:  2021-08-02       Impact factor: 3.414

Review 9.  Rescue therapies for seizure emergencies: current and future landscape.

Authors:  Debopam Samanta
Journal:  Neurol Sci       Date:  2021-07-16       Impact factor: 3.830

10.  Clustering of spontaneous recurrent seizures separated by long seizure-free periods: An extended video-EEG monitoring study of a pilocarpine mouse model.

Authors:  Jung-Ah Lim; Jangsup Moon; Tae-Joon Kim; Jin-Sun Jun; Byeongsu Park; Jung-Ick Byun; Jun-Sang Sunwoo; Kyung-Il Park; Soon-Tae Lee; Keun-Hwa Jung; Ki-Young Jung; Manho Kim; Daejong Jeon; Kon Chu; Sang Kun Lee
Journal:  PLoS One       Date:  2018-03-20       Impact factor: 3.240

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