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Nica A. Drug-resistant juvenile myoclonic epilepsy: A literature review. Rev Neurol (Paris) 2024; 180:271-289. [PMID: 38461125 DOI: 10.1016/j.neurol.2024.02.385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 02/13/2024] [Accepted: 02/14/2024] [Indexed: 03/11/2024]
Abstract
The ILAE's Task Force on Nosology and Definitions revised in 2022 its definition of juvenile myoclonic epilepsy (JME), the most common idiopathic generalized epilepsy disorder, but this definition may well change again in the future. Although good drug response could almost be a diagnostic criterion for JME, drug resistance (DR) is observed in up to a third of patients. It is important to distinguish this from pseudoresistance, which is often linked to psychosocial problems or psychiatric comorbidities. After summarizing these aspects and the various definitions applied to JME, the present review lists the risk factors for DR-JME that have been identified in numerous studies and meta-analyses. The factors most often cited are absence seizures, young age at onset, and catamenial seizures. By contrast, photosensitivity seems to favor good treatment response, at least in female patients. Current hypotheses on DR mechanisms in JME are based on studies of either simple (e.g., cortical excitability) or more complex (e.g., anatomical and functional connectivity) neurophysiological markers, bearing in mind that JME is regarded as a neural network disease. This research has revealed correlations between the intensity of some markers and DR, and above all shed light on the role of these markers in associated neurocognitive and neuropsychiatric disorders in both patients and their siblings. Studies of neurotransmission have mainly pointed to impaired GABAergic inhibition. Genetic studies have generally been inconclusive. Increasing restrictions have been placed on the use of valproate, the standard antiseizure medication for this syndrome, owing to its teratogenic and developmental risks. Levetiracetam and lamotrigine are prescribed as alternatives, as is vagal nerve stimulation, and there are several other promising antiseizure drugs and neuromodulation methods. The development of better alternative treatments is continuing to take place alongside advances in our knowledge of JME, as we still have much to learn and understand.
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Affiliation(s)
- A Nica
- Epilepsy Unit, Reference Center for Rare Epilepsies, Neurology Department, Clinical Investigation Center 1414, Rennes University Hospital, Rennes, France; Signal and Image Processing Laboratory (LTSI), INSERM, Rennes University, Rennes, France.
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Cerulli Irelli E, Gesche J, Schlabitz S, Fortunato F, Catania C, Morano A, Labate A, Vorderwülbecke BJ, Gambardella A, Baykan B, Holtkamp M, Di Bonaventura C, Beier CP. Epilepsy with generalized tonic-clonic seizures alone: Electroclinical features and prognostic patterns. Epilepsia 2024; 65:84-94. [PMID: 37872695 DOI: 10.1111/epi.17809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 10/19/2023] [Accepted: 10/19/2023] [Indexed: 10/25/2023]
Abstract
OBJECTIVE Epilepsy with generalized tonic-clonic seizures alone (GTCA) is a common but poorly characterized idiopathic generalized epilepsy (IGE) syndrome. Hence, we investigated electroclinical features, seizure outcome, and antiseizure medication (ASM) withdrawal in a large cohort of GTCA patients. METHODS In this multicenter retrospective study, GTCA patients defined according to the diagnostic criteria of the International League Against Epilepsy (2022) were included. We investigated prognostic patterns, drug resistance at the last visit, and ASM withdrawal, along with their prognostic factors. RESULTS We included 247 patients with a median (interquartile range [IQR]) age at onset of 17 years (13-22) and a median follow-up duration of 10 years (IQR = 5-20). Drug resistance at the last visit was observed in 40 (16.3%) patients, whereas the median latency to achieve 2-year remission was 24 months (IQR = 24-46.5) with a median number of 1 (IQR = 1-2) ASM. During the long-term follow-up (i.e., 202 patients followed ≥5-years after the first ASM trial), 69 (34.3%) patients displayed an early remission pattern and 36 (17.9%) patients displayed a late remission pattern, whereas 16 (8%) and 73 (36.3%) individuals had no-remission and relapsing-remitting patterns, respectively. Catamenial seizures and morning predominance of generalized tonic-clonic seizures (GTCS) independently predicted drug resistance at the last visit according to multivariable logistic regression. Treatment withdrawal was attempted in 63 (25.5%) patients, with 59 (93.7%) of them having at least a 12-month follow-up after ASM discontinuation. At the last visit, 49 (83%) of those patients had experienced GTCS recurrence. A longer duration of seizure freedom was the only factor predicting a higher chance of successful ASM withdrawal according to multivariable Cox regression. SIGNIFICANCE GTCA could be considered a relatively easily manageable IGE syndrome, with a low rate of drug resistance and a high prevalence of early response to treatment. Nevertheless, a considerable proportion of patients experience relapsing patterns of seizure control, highlighting the need for appropriate counseling and lifestyle recommendations.
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Affiliation(s)
| | - Joanna Gesche
- Department of Neurology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Sophie Schlabitz
- Epilepsy Center Berlin-Brandenburg, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | - Cecilia Catania
- Department of Human Neurosciences, Sapienza University, Rome, Italy
| | | | - Angelo Labate
- Neurophysiopathology and Movement Disorders Clinic, University of Messina, Messina, Italy
| | - Bernd J Vorderwülbecke
- Epilepsy Center Berlin-Brandenburg, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | - Betül Baykan
- Departments of Neurology and Clinical Neurophysiology, Istanbul University, Istanbul Faculty of Medicine, Istanbul, Turkey
| | - Martin Holtkamp
- Epilepsy Center Berlin-Brandenburg, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | - Christoph P Beier
- Department of Neurology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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EEG Markers of Treatment Resistance in Idiopathic Generalized Epilepsy: From Standard EEG Findings to Advanced Signal Analysis. Biomedicines 2022; 10:biomedicines10102428. [PMID: 36289690 PMCID: PMC9598660 DOI: 10.3390/biomedicines10102428] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 09/20/2022] [Accepted: 09/23/2022] [Indexed: 12/02/2022] Open
Abstract
Idiopathic generalized epilepsy (IGE) represents a common form of epilepsy in both adult and pediatric epilepsy units. Although IGE has been long considered a relatively benign epilepsy syndrome, a remarkable proportion of patients could be refractory to treatment. While some clinical prognostic factors have been largely validated among IGE patients, the impact of routine electroencephalography (EEG) findings in predicting drug resistance is still controversial and a growing number of authors highlighted the potential importance of capturing the sleep state in this setting. In addition, the development of advanced computational techniques to analyze EEG data has opened new opportunities in the identification of reliable and reproducible biomarkers of drug resistance in IGE patients. In this manuscript, we summarize the EEG findings associated with treatment resistance in IGE by reviewing the results of studies considering standard EEGs, 24-h EEG recordings, and resting-state protocols. We discuss the role of 24-h EEG recordings in assessing seizure recurrence in light of the potential prognostic relevance of generalized fast discharges occurring during sleep. In addition, we highlight new and promising biomarkers as identified by advanced EEG analysis, including hypothesis-driven functional connectivity measures of background activity and data-driven quantitative findings revealed by machine learning approaches. Finally, we thoroughly discuss the methodological limitations observed in existing studies and briefly outline future directions to identify reliable and replicable EEG biomarkers in IGE patients.
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Komatsubara T, Kobayashi Y, Hiraiwa A, Magara S, Hojo M, Ono T, Okazaki K, Fukuda M, Tohyama J. Recurrence rates and risk factors for seizure recurrence following antiseizure medication withdrawal in adolescent patients with genetic generalized epilepsy. Epilepsia Open 2022; 7:332-343. [PMID: 35445562 PMCID: PMC9159251 DOI: 10.1002/epi4.12603] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 04/15/2022] [Accepted: 04/17/2022] [Indexed: 11/25/2022] Open
Abstract
Objective This study aimed to identify the recurrence rate of genetic generalized epilepsy (GGE) and risk factors for recurrence after antiseizure medication (ASM) withdrawal in adolescent patients. Methods We retrospectively reviewed medical records of patients with GGE who were included in the registry at the Department of Child Neurology, National Hospital Organization Nishiniigata Chuo Hospital from 2000 through 2020. The eligibility criteria were as follows: onset of epileptic seizures at <15 years of age, treatment with an ASM, and attempted treatment withdrawal at 10‐19 years of age. The rates of seizure recurrence after drug withdrawal were evaluated. Moreover, several variables were evaluated as predictors of recurrence. Results In total, 77 patients with GGE (21, 13, and 43 patients with juvenile myoclonic epilepsy [JME], juvenile absence epilepsy [JAE], and epilepsy with generalized tonic–clonic seizures alone [EGTCSA], respectively) were included in this study. Recurrence was detected in 68% of patients with GGE (86%, 31%, and 70% of patients with JME, JAE, and EGTCSA, respectively). Recurrence rates for patients who developed epilepsy at ≥13 years of age, those who started dose reduction at ≥16 years of age, those who exhibited a seizure‐free period of <36 months before withdrawal, and those who chose to discontinue treatment at their own discretion were significantly higher than those for their counterparts. Multivariate analysis revealed that initiation of dose reduction at ≥16 years of age was associated with increased recurrence risk. Meanwhile, a diagnosis of JAE was associated with decreased recurrence risk. All patients with JAE were treated with valproic acid. Significance Antiseizure medication withdrawal at ≥16 years of age and a diagnosis other than JAE may be independent risk factors for seizure recurrence after drug withdrawal in adolescent patients.
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Affiliation(s)
- Takao Komatsubara
- Department of Child Neurology, NHO Nishiniigata Chuo Hospital, Niigata, Japan.,Department of Pediatrics, NHO Niigata Hospital, Kashiwazaki, Japan
| | - Yu Kobayashi
- Department of Child Neurology, NHO Nishiniigata Chuo Hospital, Niigata, Japan
| | - Akiko Hiraiwa
- Department of Child Neurology, NHO Nishiniigata Chuo Hospital, Niigata, Japan
| | - Shinichi Magara
- Department of Child Neurology, NHO Nishiniigata Chuo Hospital, Niigata, Japan
| | - Moemi Hojo
- Department of Child Neurology, NHO Nishiniigata Chuo Hospital, Niigata, Japan
| | - Takeshi Ono
- Department of Child Neurology, NHO Nishiniigata Chuo Hospital, Niigata, Japan
| | - Kenichi Okazaki
- Department of Child Neurology, NHO Nishiniigata Chuo Hospital, Niigata, Japan
| | - Masafumi Fukuda
- Department of Neurosurgery, NHO Nishiniigata Chuo Hospital, Niigata, Japan
| | - Jun Tohyama
- Department of Child Neurology, NHO Nishiniigata Chuo Hospital, Niigata, Japan
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Cerulli Irelli E, Barone FA, Mari L, Morano A, Orlando B, Salamone EM, Marchi A, Fanella M, Fattouch J, Placidi F, Giallonardo AT, Izzi F, Di Bonaventura C. Generalized Fast Discharges Along the Genetic Generalized Epilepsy Spectrum: Clinical and Prognostic Significance. Front Neurol 2022; 13:844674. [PMID: 35356452 PMCID: PMC8960043 DOI: 10.3389/fneur.2022.844674] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 02/09/2022] [Indexed: 01/18/2023] Open
Abstract
Objective To investigate the electroclinical characteristics and the prognostic impact of generalized fast discharges in a large cohort of genetic generalized epilepsy (GGE) patients studied with 24-h prolonged ambulatory electroencephalography (paEEG). Methods This retrospective multicenter cohort study included 202 GGE patients. The occurrence of generalized paroxysmal fast activity (GPFA) and generalized polyspike train (GPT) was reviewed. GGE patients were classified as having idiopathic generalized epilepsy (IGE) or another GGE syndrome (namely perioral myoclonia with absences, eyelid myoclonia with absences, epilepsy with myoclonic absences, generalized epilepsy with febrile seizures plus, or GGE without a specific epilepsy syndrome) according to recent classification proposals. Results GPFA/GPT was found in overall 25 (12.4%) patients, though it was significantly less frequent in IGE compared with other GGE syndromes (9.3 vs. 25%, p = 0.007). GPFA/GPT was found independently of seizure type experienced during history, the presence of mild intellectual disability/borderline intellectual functioning, or EEG features. At multivariable analysis, GPFA/GPT was significantly associated with drug resistance (p = 0.04) and with a higher number of antiseizure medications (ASMs) at the time of paEEG (p < 0.001) and at the last medical observation (p < 0.001). Similarly, GPFA/GPT, frequent/abundant generalized spike-wave discharges during sleep, and a higher number of seizure types during history were the only factors independently associated with a lower chance of achieving 2-year seizure remission at the last medical observation. Additionally, a greater number of GPFA/GPT discharges significantly discriminated between patients who achieved 2-year seizure remission at the last medical observation and those who did not (area under the curve = 0.77, 95% confidence interval 0.57–0.97, p = 0.02) Conclusion We found that generalized fast discharges were more common than expected in GGE patients when considering the entire GGE spectrum. In addition, our study highlighted that GPFA/GPT could be found along the entire GGE continuum, though their occurrence was more common in less benign GGE syndromes. Finally, we confirmed that GPFA/GPT was associated with difficult-to-treat GGE, as evidenced by the multivariable analysis and the higher ASM load during history.
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Affiliation(s)
- Emanuele Cerulli Irelli
- Epilepsy Unit, Department of Human Neurosciences, Policlinico “Umberto I”, Sapienza University, Rome, Italy
| | | | - Luisa Mari
- Epilepsy Center, Neurology Unit, University Hospital of Rome Tor Vergata, Rome, Italy
| | - Alessandra Morano
- Epilepsy Unit, Department of Human Neurosciences, Policlinico “Umberto I”, Sapienza University, Rome, Italy
| | - Biagio Orlando
- Epilepsy Unit, Department of Human Neurosciences, Policlinico “Umberto I”, Sapienza University, Rome, Italy
| | - Enrico Michele Salamone
- Epilepsy Unit, Department of Human Neurosciences, Policlinico “Umberto I”, Sapienza University, Rome, Italy
| | - Angela Marchi
- Epilepsy Center, Neurology Unit, University Hospital of Rome Tor Vergata, Rome, Italy
| | - Martina Fanella
- Epilepsy Unit, Department of Human Neurosciences, Policlinico “Umberto I”, Sapienza University, Rome, Italy
| | - Jinane Fattouch
- Epilepsy Unit, Department of Human Neurosciences, Policlinico “Umberto I”, Sapienza University, Rome, Italy
| | - Fabio Placidi
- Epilepsy Center, Neurology Unit, University Hospital of Rome Tor Vergata, Rome, Italy
| | - Anna Teresa Giallonardo
- Epilepsy Unit, Department of Human Neurosciences, Policlinico “Umberto I”, Sapienza University, Rome, Italy
| | - Francesca Izzi
- Epilepsy Center, Neurology Unit, University Hospital of Rome Tor Vergata, Rome, Italy
| | - Carlo Di Bonaventura
- Epilepsy Unit, Department of Human Neurosciences, Policlinico “Umberto I”, Sapienza University, Rome, Italy
- *Correspondence: Carlo Di Bonaventura
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