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Ilyas-Feldmann M, Graf L, Hüsing T, Dörrfuß J, Holtkamp M. [Discontinuation of antiseizure medication in patients with epilepsy]. DER NERVENARZT 2024:10.1007/s00115-024-01708-3. [PMID: 39023550 DOI: 10.1007/s00115-024-01708-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/07/2024] [Indexed: 07/20/2024]
Abstract
BACKGROUND Approximately two thirds of patients with epilepsy become seizure-free with antiseizure medication (ASM). A central question is whether and when ASM can be discontinued. OBJECTIVE To present an overview of the current knowledge about risks and benefits of discontinuation of ASM. MATERIAL AND METHODS Review of the current literature, discussion of data on and recommendations for discontinuation of ASM. RESULTS The risk of seizure recurrence after discontinuation of ASM is approximately 40-50% and thus twice as high as continuing with ASM. Guidelines recommend considering discontinuation of ASM at earliest after a seizure-free period of 2 years. Predictive variables for seizure recurrence after stopping ASM include longer duration of epilepsy and higher number of seizures until remission, a shorter seizure-free interval until stopping ASM, older age at epilepsy onset, developmental delay or IQ < 70, febrile seizures in childhood, absence of a self-limiting epilepsy syndrome, and evidence of epileptiform activity in the electroencephalograph (EEG). The individual risk of seizure recurrence after stopping ASM can be estimated using an online prediction tool. CONCLUSION Discontinuation of ASM should be discussed with patients at the earliest after 2 years of seizure freedom in a shared decision-making process weighing up the risks and benefits. The risk of a seizure recurrence depends on a number of clinical variables. Psychosocial aspects, such as impact on driving and occupational issues must be taken into consideration as well as individual fears and concerns of patients about seizure recurrence or the long-term use of ASM.
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Affiliation(s)
- Maria Ilyas-Feldmann
- Epilepsie-Zentrum Berlin-Brandenburg, Klinik für Neurologie mit Experimenteller Neurologie, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Deutschland
| | - Luise Graf
- Epilepsie-Zentrum Berlin-Brandenburg, Klinik für Neurologie mit Experimenteller Neurologie, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Deutschland
| | - Thea Hüsing
- Epilepsie-Zentrum Berlin-Brandenburg, Klinik für Neurologie mit Experimenteller Neurologie, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Deutschland
| | - Jakob Dörrfuß
- Epilepsie-Zentrum Berlin-Brandenburg, Klinik für Neurologie mit Experimenteller Neurologie, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Deutschland
| | - Martin Holtkamp
- Epilepsie-Zentrum Berlin-Brandenburg, Klinik für Neurologie mit Experimenteller Neurologie, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Deutschland.
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Pegg EJ, Bromley R, Mirza F, Campbell E. Preconception counselling in women with epilepsy. Pract Neurol 2024:pn-2023-003902. [PMID: 38937091 DOI: 10.1136/pn-2023-003902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/16/2024] [Indexed: 06/29/2024]
Abstract
Pregnancy and the postpartum period are potentially high-risk periods for women with epilepsy and their babies. All women with epilepsy should have the opportunity for preconception counselling with the aim of reducing risk, optimising outcomes for the potentially developing fetus and enabling informed decision-making. This article provides an evidence-based framework for preconception counselling discussion, including the review of diagnosis and of current antiseizure medication, the risk to the fetus in relation to antiseizure medication and maternal seizures, maternal morbidity, SUDEP risk, folic acid supplements, contraception, breastfeeding and safety advice.
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Affiliation(s)
- Emily J Pegg
- Manchester Centre for Clinical Neurosciences, Salford Royal Hospital, Salford, UK
- Division of Neuroscience, University of Manchester, Manchester, UK
| | - Rebeccca Bromley
- Department of Neuroscience, University of Manchester, Manchester, UK
| | - Farhat Mirza
- Manchester Centre for Clinical Neurosciences, Salford Royal Hospital, Salford, UK
| | - Ellen Campbell
- Department of Neurology, Belfast Health and Social Care Trust, Belfast, UK
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Fang W, Chen S, Xia X, Huang W, Du Y, Liu Z, Chen L, Wang X, Xu H. Interictal interleukin-6 and tumor necrosis factor α levels are associated with seizure recurrence in adults with epilepsy. Epilepsy Behav 2024; 155:109786. [PMID: 38653175 DOI: 10.1016/j.yebeh.2024.109786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 04/07/2024] [Accepted: 04/10/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Although there are models predicting epilepsy recurrence under different clinical conditions, few studies have examined blood biomarkers. Inflammation plays a crucial role in the occurrence and development of epilepsy. We analyzed inflammatory mediators in a regional hospital-based epilepsy cohort and investigated their relationship with subsequent epilepsy recurrence. METHODS Interictal inflammatory mediators were measured in 128 patients diagnosed with epilepsy participating in a prospective study. Inflammatory mediators were compared during the follow-up period between patients who experienced epilepsy recurrence and those who did not. We also assessed the correlation between inflammatory mediators and the time interval until the next recurrence. RESULTS Over a median 4-month follow-up period, 41 patients experienced seizure recurrence. Differences in interleukin-6 (IL-6) and tumor necrosis factor α (TNF-α) levels were observed between seizure recurrence and non-recurrence groups. After adjusting for covariates through multivariate Cox regression analysis, the patients in the third IL-6 tertile (>2.31 pg/mL; HR: 2.49; 95 % CI: 1.00-6.16; P = 0.049) and in the third TNF-α tertile (>0.74 pg/mL; HR: 2.80; 95 % CI: 1.13-6.92; P = 0.026) had higher risk of seizure recurrence. The time until the next recurrence was negatively correlated with IL-6 level (ρ = - 0.392, P = 0.011). CONCLUSION High levels of IL-6 and TNF-α are associated with a higher possibility of seizure recurrence. Future predictive models should also include inflammatory mediators in addition to clinical variables.
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Affiliation(s)
- Wenqiang Fang
- Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Shihao Chen
- Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Xuefen Xia
- Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Wenting Huang
- Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Yanru Du
- Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Zhipeng Liu
- Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Lekai Chen
- Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Xinshi Wang
- Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Huiqin Xu
- Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China.
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Chen Y, Liu A, Zhang X, Ma X, Sun D, Tian X, Wu W, Zeng Q, Jiang Y, Zhang Y. Seizure course of PCDH19 clustering epilepsy in female children: A multicentre cohort study in China. Dev Med Child Neurol 2024; 66:804-815. [PMID: 37960945 DOI: 10.1111/dmcn.15803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 10/09/2023] [Accepted: 10/17/2023] [Indexed: 11/15/2023]
Abstract
AIM To investigate the seizure course of PCDH19 clustering epilepsy (PCDH19-CE) in a cohort of female children in China. METHOD This ambidirectional cohort study examined 113 female patients with PCDH19-CE through multicentre collaboration. Prognostic factors for seizure freedom were evaluated by multivariate Cox regression analysis. RESULTS The median seizure course period from seizure onset was 6 years 6 months. Of 113 patients, 78% and 56% experienced seizure freedom for at least 1 year and at least 2 years respectively. In patients younger than 5 years (n = 30), 5 to 10 years (n = 52), and older than 10 years (n = 31), 57%, 81%, and 94% experienced at least 1 year of seizure freedom, and 32%, 52%, and 84% experienced at least 2 years of seizure freedom, respectively. However, 58% (65 out of 113) relapsed at least once after more than 1 year of seizure freedom without trigger exposure (40%) or because of common triggers, including fever (43%) and antiseizure medication (ASM) reduction (29%). There was an 84% risk of seizure relapse after ASM reduction attempts. The likelihood of seizure freedom decreased with early age at seizure onset and developmental delay. INTERPRETATION Patients with PCDH19-CE exhibit increasing seizure freedom with age, but there is a risk of relapse. ASM reduction in children younger than 10 years old requires caution. Patients with early seizure onset and developmental delay have a reduced chance of seizure freedom. WHAT THIS PAPER ADDS The seizure freedom rate in PCDH19 clustering epilepsy gradually increases with age. The disease course is characterized by relapsing-remitting seizures. Antiseizure medication reduction requires caution for patients younger than 10 years of age. Patients with early seizure onset and developmental delay are less likely to achieve seizure freedom.
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Affiliation(s)
- Yi Chen
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Aijie Liu
- Department of Pediatric Neurology, Capital Institute of Pediatrics, Beijing, China
| | - Xiaoli Zhang
- Department of Pediatrics, The Third Affiliated Hospital of Zheng Zhou University, Zhengzhou, China
| | - Xiuwei Ma
- Department of Neurology, Bayi Children's Hospital, General Military Hospital of Beijing, Beijing, China
| | - Dan Sun
- Department of Neurology, Wuhan Children's Hospital, Wuhan, China
| | - Xiaojuan Tian
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Wenjuan Wu
- Department of Neurology, Children's Hospital of Hebei Province, Shijiazhuang, China
| | - Qi Zeng
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen, China
| | - Yuwu Jiang
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Yuehua Zhang
- Department of Pediatrics, Peking University First Hospital, Beijing, China
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Galovic M, Ferreira-Atuesta C, Jehi LE, Braun KPJ, Terman SW. Exit Strategy: Balancing the Risks and Rewards of Antiseizure Medication Withdrawal. Epilepsy Curr 2024; 24:150-155. [PMID: 38898899 PMCID: PMC11185209 DOI: 10.1177/15357597241238898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2024] Open
Abstract
The majority of people with epilepsy achieves long-term seizure-freedom and may consider withdrawal of their anti-seizure medications (ASMs). Withdrawal of ASMs can yield substantial benefits but may be associated with potential risks. This review critically examines the existing literature on ASM withdrawal, emphasizing evidence-based recommendations, where available. Our focus encompasses deprescribing strategies for individuals who have attained seizure freedom through medical treatment, those who have undergone successful epilepsy surgery, and individuals initiated on ASMs following acute symptomatic seizures. We explore state-of-the-art prognostic models in these scenarios that could guide the decision-making process. The review underscores the importance of a collaborative shared-decision approach between patients, caregivers, and physicians. We describe the subjective and objective factors influencing these decisions and illustrate how trade-offs may be effectively managed in practice.
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Affiliation(s)
- Marian Galovic
- Department of Neurology, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland
| | | | - Lara E. Jehi
- Cleveland Clinic Epilepsy Center, Cleveland, OH, USA
| | - Kees P. J. Braun
- Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Samuel W. Terman
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
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Lallana S, Fonseca E, Quintana M, Abraira L, Campos-Fernández D, López-Maza S, Santamarina E, Toledo M, Salas-Puig J. Antiseizure medication withdrawal in adult patients with idiopathic generalized epilepsy: Performance of two seizure recurrence prediction models. Epilepsy Behav 2024; 153:109718. [PMID: 38428177 DOI: 10.1016/j.yebeh.2024.109718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 02/09/2024] [Accepted: 02/22/2024] [Indexed: 03/03/2024]
Abstract
PURPOSE Currently, there is a limited availability of tools to predict seizure recurrence after discontinuation of antiseizure medications (ASMs). This study aimed to establish the seizure recurrence rate following ASM cessation in adult patients with idiopathic generalized epilepsy (IGE) and to assess the predictive performance of the Lamberink and the Stevelink prediction models using real-world data. METHODS Retrospective longitudinal study in IGE patients who underwent ASM withdrawal in a tertiary epilepsy clinic since June 2011, with the latest follow up in January 2024. The minimum follow-up period was 12 months. Clinical and demographic variables were collected, and the seizure recurrence prediction models proposed by Lamberink and Stevelink were applied and evaluated. RESULTS Forty-seven patients (mean age 33.15 ± 8 [20-55] years; 72.35 % women) were included. During the follow-up period, seizures recurred in 25 patients (53.2 %). Median time to recurrence was 8 months [IQR 3-13.5 months], and 17 patients (68 %) relapsed within the first year. None of the relapsing patients developed drug-resistant epilepsy. The only significant risk factor associated with recurrence was a seizure-free period of less than 2 years before discontinuing medication (91.7 % vs 40 %, p =.005). The Stevelink prediction model at both 2 (p =.015) and 5 years (p =.020) achieved statistical significance, with an AUC of 0.72 (95 % CI 0.56-0.88), while the Lamberink model showed inadequate prognostic capability. CONCLUSION In our real-world cohort, a seizure-free period of at least 2 years was the only factor significantly associated with epilepsy remission after ASM withdrawal. Larger studies are needed to accurately predict seizure recurrence in IGE patients.
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Affiliation(s)
- Sofía Lallana
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Elena Fonseca
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain.
| | - Manuel Quintana
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Laura Abraira
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Daniel Campos-Fernández
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Samuel López-Maza
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Estevo Santamarina
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Manuel Toledo
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Javier Salas-Puig
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain
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Diaz-Peregrino R, San-Juan D, Arritola-Uriarte A, Contreras-Salazar Á, Del Moral-Bastida J, Miranda-Ojeda R. Epilepsy and education: A case-control analysis of the impact of an intensive epilepsy training program on undergraduate medical students. Epilepsy Behav 2024; 153:109717. [PMID: 38428173 DOI: 10.1016/j.yebeh.2024.109717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/19/2024] [Accepted: 02/21/2024] [Indexed: 03/03/2024]
Abstract
AIMS To evaluate the knowledge, attitudes, and practical skills of students submitted to a 6-week intensive training in epilepsy compared to students without any training but mandatory neurology classes. METHODS It is a case-control study. After completing a 6-week intensive Academic, Clinical, and Research Program in epilepsy, TUMSs answered a validated Knowledge Attitudes and Practices (KAP) questionnaire. The control group, composed of undergraduate students who shared the same age, academic year, and compulsory hours for learning about epilepsy as TUMSs, was also assessed through the KAP instrument. Answers from both groups were submitted to Fisher exact and the χ2 test to observe differences among groups. Descriptive statistics were also performed. RESULTS TUMSs displayed better results in theoretical knowledge such as the definition and causes of epilepsy, and the application of paraclinical studies essential for diagnosing epilepsy. From their perspective, people with epilepsy encounter restricted opportunities for preserving their social life and employment and they are more prone to workplace accidents. They are convinced that facing epilepsy presents a notable risk due to the difficulties linked with diagnosis, considering epilepsy a challenging disease for general practitioners to identify and follow up. Likewise, they exhibited improvement in treatment adjustment and treatment monitoring of patients with epilepsy, mainly in pregnancy cases. Finally, they had greater knowledge about what to do when they witness a person experiencing a seizure. CONCLUSION Our study showed that a 6-week intensive education program in epilepsy increased the knowledge and practical skills and changed the attitude toward patients with epilepsy of undergraduate students.
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Affiliation(s)
- Roberto Diaz-Peregrino
- Department of Neurosurgery, University Hospital Heidelberg, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany.
| | - Daniel San-Juan
- Epilepsy Clinic, National Institute of Neurology and Neurosurgery, Mexico City, Mexico
| | | | | | | | - Raúl Miranda-Ojeda
- Faculty of Medicine, Autonomous University of the State of Mexico, Toluca, Mexico
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8
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Sheikh S, Jehi L. Predictive models of epilepsy outcomes. Curr Opin Neurol 2024; 37:115-120. [PMID: 38224138 DOI: 10.1097/wco.0000000000001241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
PURPOSE OF REVIEW Multiple complex medical decisions are necessary in the course of a chronic disease like epilepsy. Predictive tools to assist physicians and patients in navigating this complexity have emerged as a necessity and are summarized in this review. RECENT FINDINGS Nomograms and online risk calculators are user-friendly and offer individualized predictions for outcomes ranging from safety of antiseizure medication withdrawal (accuracy 65-73%) to seizure-freedom, naming, mood, and language outcomes of resective epilepsy surgery (accuracy 72-81%). Improving their predictive performance is limited by the nomograms' inability to ingest complex data inputs. Conversely, machine learning offers the potential of multimodal and expansive model inputs achieving human-expert level accuracy in automated scalp electroencephalogram (EEG) interpretation but lagging in predictive performance or requiring validation for other applications. SUMMARY Good to excellent predictive models are now available to guide medical and surgical epilepsy decision-making with nomograms offering individualized predictions and user-friendly tools, and machine learning approaches offering the potential of improved performance. Future research is necessary to bridge the two approaches for optimal translation to clinical care.
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Affiliation(s)
| | - Lara Jehi
- Epilepsy Center, Neurological Institute
- Center for Computational Life Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
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Zhang XY, Sun M, Wang JY, Du FF, Liu XF, Wang LJ, Hou ZD, Cheng YY. Analysis of related factors for neuropsychiatric comorbidities in children with epilepsy. Eur J Med Res 2024; 29:168. [PMID: 38475859 PMCID: PMC10929131 DOI: 10.1186/s40001-024-01751-5] [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: 01/03/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024] Open
Abstract
OBJECTIVE To analyze the risk factors affecting psychiatric behavior and study the psychobehavioral conditions of children with epilepsy. METHOD We randomly selected and enrolled 294 children with epilepsy who visited and were hospitalized in the pediatric clinic of Hebei General Hospital between January 2017 and January 2022, as the study participants. We comprehensively assessed their cognitive functions using the Gesell development schedule or Wechsler Intelligence Scales. The participants were divided into the study group (n = 123) with cognitive impairment and the control group (n = 171) with normal cognitive functions, for analysis. RESULTS There were statistically significant differences between the two groups in disease course, frequency of epilepsy, status epilepticus, and the number of antiseizure medications (ASMs) used (P < 0.05), while there were no statistically significant differences in age, gender, age of onset, form of onset, interictal epileptiform discharge, history of febrile convulsion, and the time from onset to initial visit (P > 0.05). Based on multivariate logistic regression analysis, the course of disease, frequency of onset, status epilepticus and number of ASMs used were identified as high-risk factors for cognitive impairment in children with epilepsy. Similarly, early onset, long course of disease, known etiology, and combination of multiple drugs have a negative impact on behavioral problems, school education, and social adaptability. CONCLUSION The course of disease, the frequency of onset, status epilepticus, and the number of ASMs used are high-risk factors for cognitive impairment in children with epilepsy, which can be prevented and controlled early. When selecting ASMs, their advantages and disadvantages should be weighed. Moreover, the availability of alternative treatment options must be considered. With the help of genomic technology, the causes of epilepsy should be identified as early as possible, and precision medicine and gene therapy for children with epilepsy should be actively developed.
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Affiliation(s)
- Xin-Ying Zhang
- Department of Pediatrics, HeBei General Hospital, No.348 of Heping West Road, Xinhua District, Shijiazhuang, 050051, China
| | - Meng Sun
- Department of Pediatrics, HeBei General Hospital, No.348 of Heping West Road, Xinhua District, Shijiazhuang, 050051, China
| | - Jiang-Ya Wang
- Department of Pediatrics, HeBei General Hospital, No.348 of Heping West Road, Xinhua District, Shijiazhuang, 050051, China
| | - Fang-Fang Du
- Department of Pediatrics, HeBei General Hospital, No.348 of Heping West Road, Xinhua District, Shijiazhuang, 050051, China
| | - Xue-Fei Liu
- Department of Pediatrics, HeBei General Hospital, No.348 of Heping West Road, Xinhua District, Shijiazhuang, 050051, China
| | - Ling-Jun Wang
- Department of Pediatrics, HeBei General Hospital, No.348 of Heping West Road, Xinhua District, Shijiazhuang, 050051, China
| | - Zhen-De Hou
- Department of Pediatrics, HeBei General Hospital, No.348 of Heping West Road, Xinhua District, Shijiazhuang, 050051, China
| | - Ya-Ying Cheng
- Department of Pediatrics, HeBei General Hospital, No.348 of Heping West Road, Xinhua District, Shijiazhuang, 050051, China.
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Doerrfuss JI, Hüsing T, Graf L, Ilyas‐Feldmann M, Holtkamp M. Non-discontinuation of antiseizure medication in seizure-free epilepsy patients. Eur J Neurol 2024; 31:e16160. [PMID: 38015451 PMCID: PMC11235922 DOI: 10.1111/ene.16160] [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: 07/06/2023] [Revised: 10/03/2023] [Accepted: 11/04/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND AND PURPOSE In patients with epilepsy and sustained seizure freedom, guidelines recommend considering discontinuation of antiseizure medication (ASM) based on shared decision-making. This study aims to identify factors associated with non-discontinuation of ASM in seizure-free patients. METHODS Retrospective data from three sites of an academic outpatient clinic were analyzed. Adult patients with epilepsy who have been seizure-free for ≥24 months on ASM monotherapy were included. The primary end-point was non-discontinuation of ASM, defined as no discontinuation or no dose reduction of ≥25% at the last outpatient clinic visit in the ultimate seizure-free interval. Secondary end-points included frequency of discussion on discontinuation attempts between patients and physicians, adherence to ASM discontinuation decisions, and post-discontinuation seizure outcomes. RESULTS Out of 338 included patients, 81.7% did not discontinue ASM and did not reduce its dose, 11.5% discontinued ASM and 6.8% had a significant dose reduction. Factors independently associated with non-discontinuation of ASM were history of focal to bilateral or generalized tonic-clonic seizures (odds ratio [OR] 2.33, 95% confidence interval [CI] 1.08-5.06), history of breakthrough seizures (OR 3.32, 95% CI 1.10-10.04), history of failed attempts to discontinue or reduce the ASM dose (OR 4.67, 95% CI 1.03-21.11) and higher ASM load at the index visit (OR 6.10, 95% CI 2.09-17.78). Discontinuation attempts were made during the entire period of seizure freedom and were most commonly undertaken ≥10 years after the last seizure. CONCLUSIONS This study provides insights into factors associated with the shared decision-making process regarding ASM discontinuation in seizure-free patients and highlights the importance of considering individual patient characteristics and seizure history.
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Affiliation(s)
- Jakob I. Doerrfuss
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt‐Universität zu Berlin, Department of Neurology with Experimental NeurologyBerlinGermany
- Center for Stroke Research BerlinBerlinGermany
| | - Thea Hüsing
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt‐Universität zu Berlin, Department of Neurology with Experimental NeurologyBerlinGermany
| | - Luise Graf
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt‐Universität zu Berlin, Department of Neurology with Experimental NeurologyBerlinGermany
| | - Maria Ilyas‐Feldmann
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt‐Universität zu Berlin, Department of Neurology with Experimental NeurologyBerlinGermany
| | - Martin Holtkamp
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt‐Universität zu Berlin, Department of Neurology with Experimental NeurologyBerlinGermany
- Epilepsy‐Center Berlin‐BrandenburgInstitute for Diagnostics of EpilepsyBerlinGermany
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11
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Zou DF, Li XY, Lu XG, Wang HL, Song W, Zhang MW, Liu XR, Li BM, Liao JX, Zhong JM, Meng H, Li B. Association of FAT1 with focal epilepsy and correlation between seizure relapse and gene expression stage. Seizure 2024; 116:37-44. [PMID: 36941137 DOI: 10.1016/j.seizure.2023.03.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 03/13/2023] Open
Abstract
PURPOSE The FAT1 gene encodes FAT atypical cadherin 1, which is essential for foetal development, including brain development. This study aimed to investigate the relationship between FAT1 variants and epilepsy. METHODS Trio-based whole-exome sequencing was performed on a cohort of 313 patients with epilepsy. Additional cases with FAT1 variants were collected from the China Epilepsy Gene V.1.0 Matching Platform. RESULTS Four pairs of compound heterozygous missense FAT1 variants were identified in four unrelated patients with partial (focal) epilepsy and/or febrile seizures, but without intellectual disability/developmental abnormalities. These variants presented no/very low frequencies in the gnomAD database, and the aggregate frequencies in this cohort were significantly higher than those in controls. Two additional compound heterozygous missense variants were identified in two unrelated cases using the gene-matching platform. All patients experienced infrequent (yearly/monthly) complex partial seizures or secondary generalised tonic-clonic seizures. They responded well toantiseizure medication, but seizures relapsed in three cases when antiseizure medication were decreased or withdrawn after being seizure-free for three to six years, which correlated with the expression stage of FAT1. Genotype-phenotype analysis showed that epilepsy-associated FAT1 variants were missense, whereas non-epilepsy-associated variants were mainly truncated. The relationship between FAT1 and epilepsy was evaluated to be "Strong" by the Clinical Validity Framework of ClinGen. CONCLUSIONS FAT1 is a potential causative gene of partial epilepsy and febrile seizures. Gene expression stage was suggested to be one of the considerations in determining the duration ofantiseizure medication. Genotype-phenotype correlation helps to explain the mechanisms underlying phenotypic variation.
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Affiliation(s)
- Dong-Fang Zou
- Institute of Neuroscience of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China; Epilepsy Center and Department of Neurology, Shenzhen Children's Hospital, Shantou University Medical College, Shenzhen, China
| | - Xiao-Yan Li
- Institute of Neuroscience of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China; Department of Neurology, Jiangxi Provincial Children's Hospital, Nanchang, China
| | - Xin-Guo Lu
- Epilepsy Center and Department of Neurology, Shenzhen Children's Hospital, Shantou University Medical College, Shenzhen, China
| | - Huai-Li Wang
- Department of Pediatric Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Wang Song
- Institute of Neuroscience of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China
| | - Meng-Wen Zhang
- Institute of Neuroscience of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China
| | - Xiao-Rong Liu
- Institute of Neuroscience of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China
| | - Bing-Mei Li
- Institute of Neuroscience of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China
| | - Jian-Xiang Liao
- Epilepsy Center and Department of Neurology, Shenzhen Children's Hospital, Shantou University Medical College, Shenzhen, China
| | - Jian-Min Zhong
- Department of Neurology, Jiangxi Provincial Children's Hospital, Nanchang, China
| | - Heng Meng
- Department of Neurology, The First Affiliated Hospital, & Clinical Neuroscience Institute of Jinan University, 613 West Huangpu Ave, Guangzhou, China..
| | - Bin Li
- Institute of Neuroscience of Guangzhou Medical University and Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China.
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Huang P, Luo N, Shi X, Yan J, Huang J, Chen Y, Du Z. Risk factor analysis and nomogram prediction model construction for NEC complicated by intestinal perforation. BMC Pediatr 2024; 24:143. [PMID: 38413889 PMCID: PMC10898055 DOI: 10.1186/s12887-024-04640-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 02/12/2024] [Indexed: 02/29/2024] Open
Abstract
OBJECTIVE To investigate the clinical characteristics of neonatal necrotizing enterocolitis (NEC) complicated by intestinal perforation and predict the incidence of intestinal perforation in NEC. METHODS Neonates diagnosed with NEC at the Affiliated Hospital of Zunyi Medical University from January 2012 to May 2022 were enrolled, and the clinical data were collected and analyzed retrospectively. The patients were divided into two groups based on intestinal perforation occurrence or not. Mann-Whitney U tests, t-tests, chi-square tests, and fisher's exact tests were performed between-group comparisons. Logistic and lasso regressions were applied to screen independent risk factors for concomitant bowel perforation, and R software (RMS package) was used to formulate the nomogram prediction model. In addition, the receiver operating curve (ROC) and the calibration curve were drawn to verify the predictive power, while decision curve analysis (DCA) was constructed to evaluate the clinical applicability of the nomogram model. RESULTS One hundred eighty neonates with NEC were included, of which 48 had intestinal perforations, and 132 did not; the overall incidence of intestinal perforation was 26.67% (48/180). Bloody stool (OR = 5.60), APTT ≥ 50 s (OR = 3.22), thrombocytopenia (OR = 4.74), and hypoalbuminemia (OR = 5.56) were identified as independent risk variables for NEC intestinal perforation (P < 0.05) through multivariate logistic regression analysis. These factors were then applied to develop a nomogram prediction model (C-index = 0.838) by using the R software. The area under the curve (AUC) for the nomogram in the training and validation cohorts were 0.838 (95% Cl: 0.768, 0.908) and 0.802 (95% CI: 0.659, 0.944), respectively. The calibration curve shown that the nomogram has a good predictive ability for predicting the risk of intestinal perforation occurrence. And the decision curve and clinical impact curve analyses demonstrated good clinical utility of the nomogram model. CONCLUSION We found that Bloody stool, APTT ≥ 50 s, Thrombocytopenia, and hypoalbuminemia could be used as independent risk factors for predicting intestinal perforation in neonates with NEC. The nomogram model based on these variables had high predictive values to identify NEC patients with intestinal perforation.
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Affiliation(s)
- Pei Huang
- Department of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China
- Department of Pediatrics, Guizhou Children's Hospital, Zunyi, China
- Collaborative Innovation Center for Tissue Injury Repair and Regenerative Medicine of Zunyi Medical University, Zunyi, China
| | - Nandu Luo
- Department of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China
- Department of Pediatrics, Guizhou Children's Hospital, Zunyi, China
- Collaborative Innovation Center for Tissue Injury Repair and Regenerative Medicine of Zunyi Medical University, Zunyi, China
| | - Xiaoqi Shi
- Department of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China
- Department of Pediatrics, Guizhou Children's Hospital, Zunyi, China
- Collaborative Innovation Center for Tissue Injury Repair and Regenerative Medicine of Zunyi Medical University, Zunyi, China
| | - Jiahong Yan
- Department of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China
- Department of Pediatrics, Guizhou Children's Hospital, Zunyi, China
- Collaborative Innovation Center for Tissue Injury Repair and Regenerative Medicine of Zunyi Medical University, Zunyi, China
| | - Jiaojiao Huang
- Department of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China
- Department of Pediatrics, Guizhou Children's Hospital, Zunyi, China
- Collaborative Innovation Center for Tissue Injury Repair and Regenerative Medicine of Zunyi Medical University, Zunyi, China
| | - Yan Chen
- Department of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
- Department of Pediatrics, Guizhou Children's Hospital, Zunyi, China.
- Collaborative Innovation Center for Tissue Injury Repair and Regenerative Medicine of Zunyi Medical University, Zunyi, China.
| | - Zuochen Du
- Department of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
- Department of Pediatrics, Guizhou Children's Hospital, Zunyi, China.
- Collaborative Innovation Center for Tissue Injury Repair and Regenerative Medicine of Zunyi Medical University, Zunyi, China.
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Wu Y, Zhang Z, Liang P, Li L, Zou B, Wang D, Dong X, Tang H, Qiu H, Zhai X. Postoperative interictal epileptiform discharges predict seizure recurrence after antiepileptic drug withdrawal regardless of concordance with surgical site. WORLD JOURNAL OF PEDIATRIC SURGERY 2024; 7:e000641. [PMID: 38374897 PMCID: PMC10875540 DOI: 10.1136/wjps-2023-000641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 01/09/2024] [Indexed: 02/21/2024] Open
Abstract
Objective The study aimed to explore the association between the site of interictal epileptic discharges (IEDs) on postoperative electroencephalogram (EEG) and seizure recurrence after antiepileptic drug (AED) withdrawal. The study hypothesizes that the concordance of IED sites with surgical sites indicates incomplete resection of epileptic focus, while non-concordance of IED sites with surgical sites indicates postoperative changes or cortical stimulation. The former has a higher risk of seizure recurrence. Methods We retrospectively analyzed the postoperative EEG pattern of 182 consecutive children who underwent resection surgery. To identify the risk factors for seizure recurrence, we compared the attributes of seizure recurred and seizure-free groups by univariate and multivariate analyses. AED tapering was standardized, involving a 25% reduction in the dose of a single type of AED every 2 weeks, independent of the presurgical AED load. Results We attempted AED withdrawal in 116 (63.7%) children. Twenty-eight (24.1%) children experienced seizure recurrence during or after AED withdrawal. A greater number of AEDs used at the time of surgery (p=0.005), incomplete resection (p=0.001), and presence of IED on postoperative EEG (p=0.011) are predictors of seizure recurrence. The completeness of resection and seizure recurrence after AED withdrawal were related to the presence of IED on the EEG, but not to the concordance of IED with surgical sites. Conclusion For children with abnormal EEG, the decision to discontinue AED should be made more cautiously, regardless of the relative location of the discharge site and the surgical site.
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Affiliation(s)
- Yuxin Wu
- Department of Neurosurgery, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
| | - ZaiYu Zhang
- Department of Neurosurgery, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
| | - Ping Liang
- Department of Neurosurgery, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
| | - Lusheng Li
- Department of Neurosurgery, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
| | - Bin Zou
- Department of Neurosurgery, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
| | - Difei Wang
- Department of Neurosurgery, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
| | - Xinyu Dong
- Department of Neurosurgery, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
| | - Haotian Tang
- Department of Neurosurgery, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
| | - Hanli Qiu
- Department of Neurosurgery, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
| | - Xuan Zhai
- Department of Neurosurgery, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
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Devinsky O, Elder C, Sivathamboo S, Scheffer IE, Koepp MJ. Idiopathic Generalized Epilepsy: Misunderstandings, Challenges, and Opportunities. Neurology 2024; 102:e208076. [PMID: 38165295 PMCID: PMC11097769 DOI: 10.1212/wnl.0000000000208076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 10/19/2023] [Indexed: 01/03/2024] Open
Abstract
The idiopathic generalized epilepsies (IGE) make up a fifth of all epilepsies, but <1% of epilepsy research. This skew reflects misperceptions: diagnosis is straightforward, pathophysiology is understood, seizures are easily controlled, epilepsy is outgrown, morbidity and mortality are low, and surgical interventions are impossible. Emerging evidence reveals that patients with IGE may go undiagnosed or misdiagnosed with focal epilepsy if EEG or semiology have asymmetric or focal features. Genetic, electrophysiologic, and neuroimaging studies provide insights into pathophysiology, including overlaps and differences from focal epilepsies. IGE can begin in adulthood and patients have chronic and drug-resistant seizures. Neuromodulatory interventions for drug-resistant IGE are emerging. Rates of psychiatric and other comorbidities, including sudden unexpected death in epilepsy, parallel those in focal epilepsy. IGE is an understudied spectrum for which our diagnostic sensitivity and specificity, scientific understanding, and therapies remain inadequate.
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Affiliation(s)
- Orrin Devinsky
- From the Comprehensive Epilepsy Center (O.D., C.E.), New York University School of Medicine, New York, Department of Neuroscience (S.S.), Central Clinical School, Monash University, Melbourne, Department of Neurology (S.S.), Alfred Health, Melbourne; Departments of Medicine and Neurology, The Royal Melbourne Hospital (S.S.), Epilepsy Research Centre, Department of Medicine, Austin Health (I.E.S.), Murdoch Children's Research Institute (I.E.S.), and Department of Pediatrics (I.E.S.), Royal Children's Hospital, The University of Melbourne; The Florey Institute of Neuroscience and Mental Health (I.E.S.), Melbourne, Victoria, Australia; and Department of Clinical and Experimental Epilepsy (M.J.K.), University College London Institute of Neurology, United Kingdom
| | - Christopher Elder
- From the Comprehensive Epilepsy Center (O.D., C.E.), New York University School of Medicine, New York, Department of Neuroscience (S.S.), Central Clinical School, Monash University, Melbourne, Department of Neurology (S.S.), Alfred Health, Melbourne; Departments of Medicine and Neurology, The Royal Melbourne Hospital (S.S.), Epilepsy Research Centre, Department of Medicine, Austin Health (I.E.S.), Murdoch Children's Research Institute (I.E.S.), and Department of Pediatrics (I.E.S.), Royal Children's Hospital, The University of Melbourne; The Florey Institute of Neuroscience and Mental Health (I.E.S.), Melbourne, Victoria, Australia; and Department of Clinical and Experimental Epilepsy (M.J.K.), University College London Institute of Neurology, United Kingdom
| | - Shobi Sivathamboo
- From the Comprehensive Epilepsy Center (O.D., C.E.), New York University School of Medicine, New York, Department of Neuroscience (S.S.), Central Clinical School, Monash University, Melbourne, Department of Neurology (S.S.), Alfred Health, Melbourne; Departments of Medicine and Neurology, The Royal Melbourne Hospital (S.S.), Epilepsy Research Centre, Department of Medicine, Austin Health (I.E.S.), Murdoch Children's Research Institute (I.E.S.), and Department of Pediatrics (I.E.S.), Royal Children's Hospital, The University of Melbourne; The Florey Institute of Neuroscience and Mental Health (I.E.S.), Melbourne, Victoria, Australia; and Department of Clinical and Experimental Epilepsy (M.J.K.), University College London Institute of Neurology, United Kingdom
| | - Ingrid E Scheffer
- From the Comprehensive Epilepsy Center (O.D., C.E.), New York University School of Medicine, New York, Department of Neuroscience (S.S.), Central Clinical School, Monash University, Melbourne, Department of Neurology (S.S.), Alfred Health, Melbourne; Departments of Medicine and Neurology, The Royal Melbourne Hospital (S.S.), Epilepsy Research Centre, Department of Medicine, Austin Health (I.E.S.), Murdoch Children's Research Institute (I.E.S.), and Department of Pediatrics (I.E.S.), Royal Children's Hospital, The University of Melbourne; The Florey Institute of Neuroscience and Mental Health (I.E.S.), Melbourne, Victoria, Australia; and Department of Clinical and Experimental Epilepsy (M.J.K.), University College London Institute of Neurology, United Kingdom
| | - Matthias J Koepp
- From the Comprehensive Epilepsy Center (O.D., C.E.), New York University School of Medicine, New York, Department of Neuroscience (S.S.), Central Clinical School, Monash University, Melbourne, Department of Neurology (S.S.), Alfred Health, Melbourne; Departments of Medicine and Neurology, The Royal Melbourne Hospital (S.S.), Epilepsy Research Centre, Department of Medicine, Austin Health (I.E.S.), Murdoch Children's Research Institute (I.E.S.), and Department of Pediatrics (I.E.S.), Royal Children's Hospital, The University of Melbourne; The Florey Institute of Neuroscience and Mental Health (I.E.S.), Melbourne, Victoria, Australia; and Department of Clinical and Experimental Epilepsy (M.J.K.), University College London Institute of Neurology, United Kingdom
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15
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Terman SW, Slinger G, Koek A, Skvarce J, Springer MV, Ziobro JM, Burke JF, Otte WM, Thijs RD, Lossius MI, Marson AG, Bonnett LJ, Braun KPJ. Variation in seizure risk increases from antiseizure medication withdrawal among patients with well-controlled epilepsy: A pooled analysis. Epilepsia Open 2024; 9:333-344. [PMID: 38071463 PMCID: PMC10839298 DOI: 10.1002/epi4.12880] [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: 09/30/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023] Open
Abstract
OBJECTIVE Guidelines suggest considering antiseizure medication (ASM) discontinuation in seizure-free patients with epilepsy. Past work has poorly explored how discontinuation effects vary between patients. We evaluated (1) what factors modify the influence of discontinuation on seizure risk; and (2) the range of seizure risk increase due to discontinuation across low- versus high-risk patients. METHODS We pooled three datasets including seizure-free patients who did and did not discontinue ASMs. We conducted time-to-first-seizure analyses. First, we evaluated what individual patient factors modified the relative effect of ASM discontinuation on seizure risk via interaction terms. Then, we assessed the distribution of 2-year risk increase as predicted by our adjusted logistic regressions. RESULTS We included 1626 patients, of whom 678 (42%) planned to discontinue all ASMs. The mean predicted 2-year seizure risk was 43% [95% confidence interval (CI) 39%-46%] for discontinuation versus 21% (95% CI 19%-24%) for continuation. The mean 2-year absolute seizure risk increase was 21% (95% CI 18%-26%). No individual interaction term was significant after correcting for multiple comparisons. The median [interquartile range (IQR)] risk increase across patients was 19% (IQR 14%-24%; range 7%-37%). Results were unchanged when restricting analyses to only the two RCTs. SIGNIFICANCE No single patient factor significantly modified the influence of discontinuation on seizure risk, although we captured how absolute risk increases change for patients that are at low versus high risk. Patients should likely continue ASMs if even a 7% 2-year increase in the chance of any more seizures would be too much and should likely discontinue ASMs if even a 37% risk increase would be too little. In between these extremes, individualized risk calculation and a careful understanding of patient preferences are critical. Future work will further develop a two-armed individualized seizure risk calculator and contextualize seizure risk thresholds below which to consider discontinuation. PLAIN LANGUAGE SUMMARY Understanding how much antiseizure medications (ASMs) decrease seizure risk is an important part of determining which patients with epilepsy should be treated, especially for patients who have not had a seizure in a while. We found that there was a wide range in the amount that ASM discontinuation increases seizure risk-between 7% and 37%. We found that no single patient factor modified that amount. Understanding what a patient's seizure risk might be if they discontinued versus continued ASM treatment is critical to making informed decisions about whether the benefit of treatment outweighs the downsides.
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Affiliation(s)
- Samuel W. Terman
- Department of NeurologyUniversity of MichiganAnn ArborMichiganUSA
| | - Geertruida Slinger
- Department of Child Neurology, UMC Utrecht Brain Center, Wilhelmina Children's HospitalUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Adriana Koek
- Department of NeurologyUniversity of MichiganAnn ArborMichiganUSA
- Department of NeurologyUniversity of California San FranciscoSan FransiscoCaliforniaUSA
| | - Jeremy Skvarce
- University of Michigan Medical SchoolAnn ArborMichiganUSA
| | | | - Julie M. Ziobro
- Department of PediatricsUniversity of MichiganAnn ArborMichiganUSA
| | - James F. Burke
- Department of NeurologyThe Ohio State UniversityColumbusOhioUSA
| | - Willem M. Otte
- Department of Child Neurology, UMC Utrecht Brain Center, Wilhelmina Children's HospitalUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Roland D. Thijs
- Stichting Epilepsie Instellingen Nederland (SEIN)HeemstedeThe Netherlands
- Department of NeurologyLeiden University Medical Centre (LUMC)LeidenThe Netherlands
- Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Morten I. Lossius
- Oslo University Hospital National Center for EpilepsyOsloNorway
- Institute of Clinical Medicine, University of OsloOsloNorway
| | - Anthony G. Marson
- Department of Pharmacology and TherapeuticsUniversity of LiverpoolLiverpoolUK
| | - Laura J. Bonnett
- Department of Health Data ScienceUniversity of LiverpoolLiverpoolUK
| | - Kees P. J. Braun
- Department of Child Neurology, UMC Utrecht Brain Center, Wilhelmina Children's HospitalUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
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Qi W, Ren Y, Wang H, Wan Y, Wang D, Yao J, Pan H. Establishment and validation of nomogram models for overall survival and cancer-specific survival in spindle cell sarcoma patients. Sci Rep 2023; 13:23018. [PMID: 38155261 PMCID: PMC10754933 DOI: 10.1038/s41598-023-50401-z] [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: 07/14/2023] [Accepted: 12/19/2023] [Indexed: 12/30/2023] Open
Abstract
Spindle cell sarcoma (SCS) is rare in clinical practice. The objective of this study was to establish nomograms to predict the OS and CSS prognosis of patients with SCS based on the Surveillance, Epidemiology, and End Results (SEER) database. The data of patients with SCS between 2004 and 2020 were extracted from the SEER database and randomly allocated to a training cohort and a validation cohort. Univariate and multivariate Cox regression analyses were used to screen for independent risk factors for both overall survival (OS) and cancer-specific survival (CSS). Nomograms for OS and CSS were established for patients with SCS based on the results of multivariate Cox analysis. Then, we validated the nomograms by the concordance index (C-index), receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Finally, Kaplan‒Meier curves and log-rank tests were applied to compare patients with SCS at three different levels and in different treatment groups. A total of 1369 patients with SCS were included and randomly allocated to a training cohort (n = 1008, 70%) and a validation cohort (n = 430, 30%). Age, stage, grade, tumour location, surgery, radiation and diagnosis year were found to be independent prognostic factors for OS by Cox regression analysis, while age, stage, grade, tumour location and surgery were found to be independent prognostic factors for CSS. The nomogram models were established based on the results of multivariate Cox analysis for both OS and CSS. The C-indices of the OS model were 0.76 and 0.77 in the training and validation groups, respectively, while they were 0.76 and 0.78 for CSS, respectively. For OS, the 3- and 5-year AUCs were 0.801 and 0.798, respectively, in the training cohort and 0.827 and 0.799, respectively, in the validation cohort; for CSS, they were 0.809 and 0.786, respectively, in the training cohort and 0.831 and 0.801, respectively, in the validation cohort. Calibration curves revealed high consistency in both OS and CSS between the observed survival and the predicted survival. In addition, DCA was used to analyse the clinical practicality of the OS and CSS nomogram models and revealed that they had good net benefits. Surgery remains the main treatment method for SCS patients. The two nomograms we established are expected to accurately predict the personalized prognosis of SCS patients and may be useful for clinical decision-making.
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Affiliation(s)
- Weihui Qi
- Department of Orthopaedics, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, 310000, Zhejiang, People's Republic of China
- Department of Orthopaedics, Hangzhou Ding Qiao Hospital, Hangzhou, China
| | - Yanyun Ren
- Department of Stomatology, No. 903 Hospital of PLA, Hangzhou, China
| | - Huang Wang
- Department of Orthopaedics, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, 310000, Zhejiang, People's Republic of China
- Department of Orthopaedics, Hangzhou Ding Qiao Hospital, Hangzhou, China
| | - Yue Wan
- Department of Stomatology, No. 903 Hospital of PLA, Hangzhou, China
| | - Dong Wang
- Department of Orthopaedics, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, 310000, Zhejiang, People's Republic of China
- Department of Orthopaedics, Hangzhou Ding Qiao Hospital, Hangzhou, China
| | - Jun Yao
- Department of Orthopaedics, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, 310000, Zhejiang, People's Republic of China.
- Department of Orthopaedics, Hangzhou Ding Qiao Hospital, Hangzhou, China.
| | - Hao Pan
- Department of Orthopaedics, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, 310000, Zhejiang, People's Republic of China.
- Department of Orthopaedics, Hangzhou Ding Qiao Hospital, Hangzhou, China.
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Panda PK, Elwadhi A, Gupta D, Tomar A, Sherwani P, Sharawat IK. Development and validation of a predictive model assessing the risk of seizure recurrence in children with neurocysticercosis. Epilepsy Res 2023; 197:107239. [PMID: 37862917 DOI: 10.1016/j.eplepsyres.2023.107239] [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: 07/02/2023] [Revised: 10/03/2023] [Accepted: 10/08/2023] [Indexed: 10/22/2023]
Abstract
INTRODUCTION Neurocysticercosis (NCC) is a significant factor contributing to the incidence of seizures in developing countries. While numerous studies have investigated the recurrence of seizures in NCC, their reliability is often limited. METHODS We assessed the socio-demographic, clinical, and neuroimaging details of 161 children with seizures caused by NCC. We monitored them for seizure recurrence over a 6-month follow-up period. We divided the children into two groups: those with seizure recurrence and those without. Subsequently, we identified predictive factors associated with seizure recurrence through univariate analysis, followed by multivariate binary logistic regression. We evaluated the prognostic model for discrimination and calibration and then internally validated it using the bootstrap method. RESULTS A total of 23 children experienced breakthrough seizures. In multivariate analysis, the presence of epileptiform abnormalities in electroencephalogram (EEG), more than 5 NCC lesions, the presence of perilesional edema greater than 2 cm in maximum dimension, and a cluster of seizures before presentation were significantly associated with seizure recurrence (p < 0.05). These factors were included in the final NEPC (Number of NCC lesions, Epileptiform EEG abnormality, Perilesional edema, and Cluster of seizures) score. The final model exhibited good discrimination (AUC = 89.1 %; 95 % CI=80.5-95.3 %, p < 0.001) and calibration (p = 0.54). A score of 4 appeared to be the optimal threshold for discriminating between individuals with and without seizure recurrence, with sensitivity and specificity values of 85 % and 87 %, respectively. Interrater reliability was very strong between two pediatric neurologists and strong between a pediatric neurologist and a pediatric neurology trainee resident (k = 0.92 and 0.86, respectively). CONCLUSION The NEPC score demonstrates good sensitivity and specificity in predicting seizure recurrence in pediatric children with NCC.
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Affiliation(s)
- Prateek Kumar Panda
- Pediatric Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, Rishikesh, Uttarakhand 249203, India
| | - Aman Elwadhi
- Pediatric Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, Rishikesh, Uttarakhand 249203, India
| | - Diksha Gupta
- Pediatric Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, Rishikesh, Uttarakhand 249203, India
| | - Apurva Tomar
- Pediatric Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, Rishikesh, Uttarakhand 249203, India
| | - Poonam Sherwani
- Department of Radiodiagnosis and Imaging, All India Institute of Medical Sciences, Rishikesh, Uttarakhand 249203, India
| | - Indar Kumar Sharawat
- Pediatric Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, Rishikesh, Uttarakhand 249203, India.
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Apochi OO. Video-EEG monitoring as a valuable tool for antiseizure medication withdrawal in patients with epilepsy: implications for clinical practice and public health policies. Neurol Res Pract 2023; 5:47. [PMID: 37759309 PMCID: PMC10537494 DOI: 10.1186/s42466-023-00278-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 08/14/2023] [Indexed: 09/29/2023] Open
Abstract
This letter to the editor discusses "the use of video-EEG monitoring to guide antiseizure medication (ASM) withdrawal in patients with epilepsy" [1]. The author highlights the potential benefits of this approach, including reduced risk of seizure recurrence and improved patient outcomes. The author also notes the need for further research to refine the criteria for identifying patients who are good candidates for ASM withdrawal and to evaluate the effectiveness of this approach in different patient populations and settings. Finally, the author discusses the implications of these findings for public health policies related to epilepsy management.
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Affiliation(s)
- Obed Okwoli Apochi
- Neuropsychology, School of Behavioral Forensics, National Forensic Sciences University, Gandhinagar, Gujarat, India.
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19
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Seyedhosseinzadeh N, Saeedi N, Hashemi A, Homam SM. Alterations in Seizure Frequency in Patients with Epilepsy Following Coronavirus Disease 2019. J Epilepsy Res 2023; 13:7-12. [PMID: 37720679 PMCID: PMC10501815 DOI: 10.14581/jer.23002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 04/30/2023] [Accepted: 05/08/2023] [Indexed: 09/19/2023] Open
Abstract
Background and Purpose During the coronavirus disease 19 (COVID-19) pandemic, a considerable number of studies have focused on the difficulties for accessing the medical services and telemedicine-related issues. However, it is not clear whether COVID-19 affects the clinical course of epilepsy. Therefore, in the current study we aimed to assess the effects of COVID-19 infection on seizure frequency in patients with epilepsy (PWE). Methods We evaluated PWE who consecutively referred to the neurology clinics of 22 Bahman and Qaem hospitals, who had experienced a recent polymerase chain reaction-confirmed-COVID-19 infection. Data were collected through a pre-defined electronic questionnaire. Results A total of 104 patients were included. Females represented 52% of the population. The mean age of the patients was 36.73±17.87. Thirty-six patients (34%) reported increased seizure frequency. The mean age of the patients who had exacerbated seizure frequency was significantly lower than the non-exacerbated group (27.50±9.8 vs. 40.14±18.39; p=0.005). The number of the male patients were significantly higher in the exacerbated group (52% vs. 25%; p=0.014). The majority of exacerbated group had a history of drug resistance (44.4% vs. 8.5%; p=0.022). The number of epileptic seizures before COVID-19 infection was higher in the exacerbated (p=0.04). Conclusions About 34% of PWE experienced exacerbated epileptic seizures after COVID-19 infection. Male patients, young patients, patients with the history of drug resistance, and the patients who had higher seizure frequency were at increased risk for seizure exacerbation. Our results highlight the importance of screening, early diagnosis, and treatment in PWE.
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Affiliation(s)
| | - Nikoo Saeedi
- Student Research Committee, Islamic Azad University, Mashhad Branch, Mashhad, Iran
| | - Anahita Hashemi
- Student Research Committee, Islamic Azad University, Mashhad Branch, Mashhad, Iran
| | - Seyed Mehran Homam
- Department of Neurology, Islamic Azad University, Mashhad Branch, Mashhad, Iran
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Dhaenens-Meyer LKL, Schriewer E, Weber YG, Wolking S. Video-EEG-monitoring to guide antiseizure medication withdrawal. Neurol Res Pract 2023; 5:20. [PMID: 37198666 PMCID: PMC10193797 DOI: 10.1186/s42466-023-00248-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 05/05/2023] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND Discontinuing anti-seizure medication (ASM) should be considered in persons with epilepsy with long-term seizure freedom. Clinicians should also pursue ASM withdrawal in persons with one-time seizures without increased recurrence risk and those with suspected non-epileptic events. However, ASM withdrawal is associated with the risk of recurring seizures. Monitored ASM withdrawal in an epilepsy monitoring unit (EMU) could help better evaluate the risk of seizure recurrence. Here, we investigate the practice of EMU-guided ASM withdrawal, assess its indications, and aim to determine positive and negative predictors for successful withdrawal. METHODS We screened the medical records of all patients admitted to our EMU between November 1, 2019, and October 31, 2021, and included patients of at least 18 years admitted with the aim of permanent ASM withdrawal. We defined four groups of withdrawal indications: (1) long-term seizure freedom; (2) suspected non-epileptic events; (3) history of epileptic seizures but not fulfilling diagnostic criteria of epilepsy; and (4) seizure-freedom after epilepsy surgery. Successful withdrawal was defined according to the following criteria: no recoding of (sub)clinical seizure activity during VEM (groups 1, 2, and 3), patients did not meet the International League Against Epilepsy (ILAE) definition of epilepsy (groups 2 and 3) [14], and patients were discharged without ongoing ASM treatment (all groups). We also evaluated the prediction model by Lamberink et al. (LPM) for the risk of seizure recurrence in groups 1 and 3. RESULTS 55/651 (8.6%) patients fulfilled the inclusion criteria. Withdrawal indications were distributed as follows; group 1: 2/55 (3.6%); group 2: 44/55 (80%); group 3: 9/55 (16,4%); group 4: 0/55. Overall, ASM withdrawal was successful in 90.9%. The sensitivity of the LPM for a 2-year 50% relapse risk threshold was 75%, the specificity 33.3%; for a 5-year relapse risk respectively 12.5% and 33.3%, suggesting that the model is not suitable for risk assessment in patients with one-time seizures or acute-symptomatic seizures, who constituted most of the evaluated patients. CONCLUSIONS Our study suggests that EMU-guided ASM withdrawal could be a helpful tool to support clinical decision-making and improve patient safety. Prospective, randomized trials should further evaluate this method in the future.
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Affiliation(s)
| | - Elisabeth Schriewer
- Department of Epileptology and Neurology, RWTH Aachen University, Aachen, Germany
| | - Yvonne G Weber
- Department of Epileptology and Neurology, RWTH Aachen University, Aachen, Germany
| | - Stefan Wolking
- Department of Epileptology and Neurology, RWTH Aachen University, Aachen, Germany
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21
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Mesraoua B, Perucca E, Tomson T, Asadi-Pooya AA. Should antiseizure medications be withdrawn after an extended period of seizure freedom in individuals with adult-onset epilepsy? Epilepsy Behav 2023; 142:109205. [PMID: 37031583 DOI: 10.1016/j.yebeh.2023.109205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/15/2023] [Accepted: 03/26/2023] [Indexed: 04/11/2023]
Abstract
Unlike several epilepsies with onset in pediatric age, adult-onset epilepsies do not typically have a time course that is predictably self-remitting in the large majority of people. Still, about one-half of individuals with adult-onset epilepsy who have been seizure-free for an extended period (two years or longer) on antiseizure medications (ASMs) will remain in remission when their drug therapy is discontinued. Although a number of predictors of outcome have been identified (including specific adult-onset syndromes associated with a low probability of spontaneous remission), in most cases, the only way to establish whether the epilepsy has remitted in a given individual is to gradually withdraw ASMs. ASM withdrawal can be beneficial, particularly when the currently used treatment is not well tolerated, or could lead to adverse outcomes in the future (i.e., teratogenic effects should pregnancy occur in a female of childbearing potential). However, the risks associated with ASM withdrawal are significant. Relapse of seizures can have major adverse psychosocial consequences and also may carry a risk of morbidity and mortality. Most importantly, evidence suggests that in about 20% of individuals whose seizure relapsed following ASM withdrawal, re-institution of pharmacological therapy may not readily restore seizure control. Ultimately, management decisions should prioritize the preference of the well-informed person with epilepsy. Particularly, when adverse drug effects are a concern, options to be discussed should include not only withdrawal or continuation of the current treatment but also dose reduction or substitution with a different ASM.
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Affiliation(s)
- Boulenouar Mesraoua
- Neurosciences Department, Hamad Medical Corporation and Weill Cornell Medical College, Doha, Qatar.
| | - Emilio Perucca
- Department of Medicine (Austin Health), The University of Melbourne, and Department of Neuroscience, Monash University, Melbourne, Victoria, Australia.
| | - Torbjorn Tomson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
| | - Ali A Asadi-Pooya
- Epilepsy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran; Jefferson Comprehensive Epilepsy Center, Department of Neurology, Thomas Jefferson University, Philadelphia, PA, USA.
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22
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Brigo F, Broggi S, Lattanzi S. Withdrawal of antiseizure medications - for whom, when, and how? Expert Rev Neurother 2023; 23:311-319. [PMID: 36946546 DOI: 10.1080/14737175.2023.2195094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
INTRODUCTION Epilepsy is a chronic disorder of the brain characterized by an enduring predisposition to generate epileptic seizures. Most patients can achieve complete seizure control (seizure freedom) with antiseizure medications (ASMs). In some of them, the withdrawal of ASMs can be considered. Guidance is required to identify patients in whom drug discontinuation can be safely attempted and to inform when and how ASM withdrawal can be done. AREAS COVERED In this perspective, the authors discuss the evidence on ASM withdrawal in epilepsy patients who are seizure-free and provide some suggestions on how to do it effectively in clinical practice, minimizing the risk of seizure recurrence. EXPERT OPINION The decision of discontinuing ASMs in epilepsy patients should rely on an accurate estimate of seizure recurrence risk. Whenever possible, such a risk should be assessed on an individual basis. The decision should also consider the psychosocial and personal consequences of seizure relapse. No robust evidence is available on the safest tapering regimen.
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Affiliation(s)
- Francesco Brigo
- Department of Neurology, Franz Tappeiner Hospital, Merano, Italy
| | - Serena Broggi
- Neurological Clinic, Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy
| | - Simona Lattanzi
- Neurological Clinic, Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy
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23
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Fang X, Qiao S, Zhang R, Yang T, Wang Z, Kong Q, Sun M, Geng J, Fang C, Chen Y, Sun Y, Zhang D, Qu L, Shang W, Wang J, Liu X. Effects of coronavirus disease 2019 vaccination on seizures in patients with epilepsy. Chin Med J (Engl) 2023; 136:571-577. [PMID: 36848187 PMCID: PMC10106124 DOI: 10.1097/cm9.0000000000002558] [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: 07/30/2022] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND Given that seizures may be triggered by vaccination, this study aimed to evaluate the risk and correlative factors of seizures in patients with epilepsy (PWE) after being vaccinated against coronavirus disease 2019 (COVID-19). METHODS This study retrospectively enrolled PWE who were vaccinated against COVID-19 in the epilepsy centers of 11 hospitals in China. We divided the PWE into two groups as follows: (1) patients who developed seizures within 14 days of vaccination were assigned to the SAV (with seizures after vaccination) group; (2) patients who were seizure-free within 14 days of vaccination were assigned to the SFAV (seizure-free after vaccination) group. To identify potential risk factors for seizure reccurence, the binary logistic regression analysis was performed. Besides, 67 PWE who had not been vaccinated were also included for elucidating the effects of vaccination on seizures recurrence, and binary logistic regression analysis was performed to determine whether vaccination would affect the recurrence rate of PWE who had drug reduction or withdrawal. RESULTS The study included a total of 407 patients; of which, 48 (11.8%) developed seizures within 14 days after vaccination (SAV group), whereas 359 (88.2%) remained seizure-free (SFAV group). The binary logistic regression analysis revealed that duration of seizure freedom ( P < 0.001) and withdrawal from anti-seizure medications (ASMs) or reduction in their dosage during the peri-vaccination period were significantly associated with the recurrence of seizures (odds ratio = 7.384, 95% confidence interval = 1.732-31.488, P = 0.007). In addition, 32 of 33 patients (97.0%) who were seizure-free for more than three months before vaccination and had a normal electroencephalogram before vaccination did not have any seizures within 14 days of vaccination. A total of 92 (22.6%) patients experienced non-epileptic adverse reactions after vaccination. Binary logistic regression analysis results showed that vaccine did not significantly affect the recurrence rate of PWE who had the behavior of ASMs dose reduction or withdrawal ( P = 0.143). CONCLUSIONS PWE need protection from the COVID-19 vaccine. PWE who are seizure-free for >3 months before vaccination should be vaccinated. Whether the remaining PWE should be vaccinated depends on the local prevalence of COVID-19. Finally, PWE should avoid discontinuing ASMs or reducing their dosage during the peri-vaccination period.
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Affiliation(s)
- Xiqin Fang
- Department of Neurology, Qilu Hospital of Shandong University, Jinan, Shandong 250000, China
- Department of Neurology, Institute of Epilepsy, Shandong University, Jinan, Shandong 250000, China
| | - Shan Qiao
- Department of Neurology, Institute of Epilepsy, Shandong University, Jinan, Shandong 250000, China
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong 250000, China
| | - Ranran Zhang
- Department of Neurology, Qilu Hospital of Shandong University, Jinan, Shandong 250000, China
- Department of Neurology, Institute of Epilepsy, Shandong University, Jinan, Shandong 250000, China
| | - Tingting Yang
- Department of Neurology, Qilu Hospital of Shandong University, Jinan, Shandong 250000, China
- Department of Neurology, Institute of Epilepsy, Shandong University, Jinan, Shandong 250000, China
| | - Zhihao Wang
- Department of Neurology, Qilu Hospital of Shandong University, Jinan, Shandong 250000, China
- Department of Neurology, Institute of Epilepsy, Shandong University, Jinan, Shandong 250000, China
| | - Qingxia Kong
- Department of Neurology, Affiliated Hospital of Jining Medical College, Jining, Shandong 272000, China
| | - Meihua Sun
- Department of Neurology, Tengzhou Central People's Hospital, Jining, Shandong 277599, China
| | - Jianhong Geng
- Department of Neurology, Affiliated Hospital of Weifang Medical College, Weifang, Shandong 261000, China
| | - Chunyan Fang
- Department of Neurology, Zhucheng People's Hospital, Weifang, Shandong 262200, China
| | - Yanxiu Chen
- Department of Neurology, Liaocheng People's Hospital, Liaocheng, Shandong 252000, China
| | - Yanping Sun
- Department of Neurology, Affiliated Hospital of Qingdao University, Qingdao, Shandong 266000, China
| | - Dongmei Zhang
- Department of Neurology, Linyi People's Hospital, Linyi, Shandong 276000, China
| | - Lixing Qu
- Department of Neurology, Dezhou People's Hospital, Dezhou, Shandong 253000, China
| | - Wei Shang
- Department of Neurology, Second Hospital of Shandong University, Jinan, Shandong 250000, China
| | - Jianguo Wang
- Department of Neurology, Jinan Central Hospital, Jinan, Shandong 250000, China
| | - Xuewu Liu
- Department of Neurology, Qilu Hospital of Shandong University, Jinan, Shandong 250000, China
- Department of Neurology, Institute of Epilepsy, Shandong University, Jinan, Shandong 250000, China
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Al-Hassany L, Lyons HS, Boucherie DM, Farham F, Lange KS, Marschollek K, Onan D, Pensato U, Storch E, Torrente A, Waliszewska-Prosół M, Reuter U. The sense of stopping migraine prophylaxis. J Headache Pain 2023; 24:9. [PMID: 36792981 PMCID: PMC9933401 DOI: 10.1186/s10194-023-01539-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 01/18/2023] [Indexed: 02/17/2023] Open
Abstract
INTRODUCTION Migraine prophylactic therapy has changed over recent years with the development and approval of monoclonal antibodies (mAbs) targeting the calcitonin gene-related peptide (CGRP) pathway. As new therapies emerged, leading headache societies have been providing guidelines on the initiation and escalation of such therapies. However, there is a lack of robust evidence looking at the duration of successful prophylaxis and the effects of therapy discontinuation. In this narrative review we explore both the biological and clinical rationale for prophylactic therapy discontinuation to provide a basis for clinical decision-making. METHODS Three different literature search strategies were conducted for this narrative review. These include i) stopping rules in comorbidities of migraine in which overlapping preventives are prescribed, notably depression and epilepsy; ii) stopping rules of oral treatment and botox; iii) stopping rules of antibodies targeting the CGRP (receptor). Keywords were utilized in the following databases: Embase, Medline ALL, Web of Science Core collection, Cochran Central Register of Controlled Trials, and Google Scholar. DISCUSSION Reasons to guide decision-making in stopping prophylactic migraine therapies include adverse events, efficacy failure, drug holiday following long-term administration, and patient-specific reasons. Certain guidelines contain both positive and negative stopping rules. Following withdrawal of migraine prophylaxis, migraine burden may return to pre-treatment level, remain unchanged, or lie somewhere in-between. The current suggestion to discontinue CGRP(-receptor) targeted mAbs after 6 to 12 months is based on expert opinion, as opposed to robust scientific evidence. Current guidelines advise the clinician to assess the success of CGRP(-receptor) targeted mAbs after three months. Based on excellent tolerability data and the absence of scientific data, we propose if no other reasons apply, to stop the use of mAbs when the number of migraine days decreases to four or fewer migraine days per month. There is a higher likelihood of developing side effects with oral migraine preventatives, and so we suggest stopping these drugs according to the national guidelines if they are well tolerated. CONCLUSION Translational and basic studies are warranted to investigate the long-term effects of a preventive drug after its discontinuation, starting from what is known about the biology of migraine. In addition, observational studies and, eventually, clinical trials focusing on the effect of discontinuation of migraine prophylactic therapies, are essential to substantiate evidence-based recommendations on stopping rules for both oral preventives and CGRP(-receptor) targeted therapies in migraine.
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Affiliation(s)
- Linda Al-Hassany
- grid.5645.2000000040459992XDepartment of Internal Medicine, Division of Vascular Medicine and Pharmacology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Hannah S. Lyons
- grid.6572.60000 0004 1936 7486Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Deirdre M. Boucherie
- grid.5645.2000000040459992XDepartment of Internal Medicine, Division of Vascular Medicine and Pharmacology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Fatemeh Farham
- grid.411705.60000 0001 0166 0922Department of Headache, Iranian Centre of Neurological Researchers, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Kristin S. Lange
- grid.6363.00000 0001 2218 4662Department of Neurology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Karol Marschollek
- grid.4495.c0000 0001 1090 049XDepartment of Neurology, Wroclaw Medical University, Wrocław, Poland
| | - Dilara Onan
- grid.14442.370000 0001 2342 7339Spine Health Unit, Faculty of Physical Therapy and Rehabilitation, Hacettepe University, Ankara, Turkey ,grid.7841.aDepartment of Clinical and Molecular Medicine, Sapienza University, Rome, Italy
| | - Umberto Pensato
- grid.417728.f0000 0004 1756 8807Neurology and Stroke Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy ,grid.452490.eHumanitas University, Pieve Emanuale, Milan, Italy
| | - Elisabeth Storch
- grid.6363.00000 0001 2218 4662Department of Neurology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Angelo Torrente
- grid.10776.370000 0004 1762 5517Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Marta Waliszewska-Prosół
- grid.4495.c0000 0001 1090 049XDepartment of Neurology, Wroclaw Medical University, Wrocław, Poland
| | - Uwe Reuter
- Department of Neurology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany. .,Universitätsmedizin Greifswald, Greifswald, Germany.
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25
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Terman SW, Slinger G, Rheaume CE, Haque AS, Smith SN, van Griethuysen R, van Asch CJJ, Otte WM, Burke JF, Braun KPJ. Antiseizure Medication Withdrawal Practice Patterns: A Survey Among Members of the American Academy of Neurology and EpiCARE. Neurol Clin Pract 2023; 13:e200109. [PMID: 37063781 PMCID: PMC10101711 DOI: 10.1212/cpj.0000000000200109] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 10/10/2022] [Indexed: 01/20/2023]
Abstract
Background and Objectives To describe neurologist practice patterns, challenges, and decision support needs pertaining to withdrawal of antiseizure medications (ASMs) in patients with well-controlled epilepsy. Methods We sent an electronic survey to (1) US and (2) European physician members of the American Academy of Neurology and (3) members of EpiCARE, a European Reference Network for rare and complex epilepsies. Analyses included frequencies and percentages, and we showed distributions through histograms and violin plots. Results We sent the survey to 4,923 individuals; 463 consented, 411 passed eligibility questions, and 287 responded to at least 1 of these questions. Most respondents indicated that they might ever consider ASM withdrawal, with respondents treating mostly children being more likely ever to consider withdrawal (e.g., medical monotherapy: children 96% vs adults 81%; p < 0.05). The most important factors when making decisions included seizure probability (83%), consequences of seizures (73%), and driving (74%). The top challenges when making decisions included unclear seizure probability (81%), inadequate guidelines (50%), and difficulty communicating probabilities (45%). Respondents would consider withdrawal after a median of 2-year seizure freedom, but also responded that they would begin withdrawal on average only when the postwithdrawal seizure relapse risk in the coming 2 years was less than 15%-30%. Wide variation existed in the use of words or numbers in respondents' counsel methods, for example, percentages vs frequencies or probability of seizure freedom vs seizure. The most highly rated point-of-care methods to inform providers of calculated risk were Kaplan-Meier curves and showing percentages only, rather than pictographs or text recommendations alone. Discussion Most surveyed neurologists would consider withdrawing ASMs in seizure-free individuals. Seizure probability was the largest factor driving decisions, yet estimating seizure probabilities was the greatest challenge. Respondents on average indicated that they may withdraw ASM after a minimum seizure-free duration of 2 years, yet also on average were willing to withdraw when seizure risk decreased below 15%-30%, which is lower than most patients' postwithdrawal risk at 2-year seizure freedom and lower than the equivalent even of a first seizure of life. These findings will inform future efforts at developing decision support tools aimed at optimizing ASM withdrawal decisions.
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Affiliation(s)
- Samuel W Terman
- Department of Neurology (SWT), University of Michigan, Ann Arbor; Department of Child Neurology (GS, WMO, KB), UMC Utrecht Brain Center, University Medical Center Utrecht and Utrecht University, the Netherlands; American Academy of Neurology (CER), Minneapolis, MN; University of Michigan Medical School (ASH); Department of Health Management and Policy (SNS), School of Public Health, University of Michigan, Ann Arbor; Department of Clinical Neurophysiology and Sleep Centre SEIN Zwolle (RvG, CJJvA), the Netherlands; Department of Neurology (JFB), the Ohio State University, Columbus; and Member of the European Reference Network EpiCARE (KPJB)
| | - Geertruida Slinger
- Department of Neurology (SWT), University of Michigan, Ann Arbor; Department of Child Neurology (GS, WMO, KB), UMC Utrecht Brain Center, University Medical Center Utrecht and Utrecht University, the Netherlands; American Academy of Neurology (CER), Minneapolis, MN; University of Michigan Medical School (ASH); Department of Health Management and Policy (SNS), School of Public Health, University of Michigan, Ann Arbor; Department of Clinical Neurophysiology and Sleep Centre SEIN Zwolle (RvG, CJJvA), the Netherlands; Department of Neurology (JFB), the Ohio State University, Columbus; and Member of the European Reference Network EpiCARE (KPJB)
| | - Carol E Rheaume
- Department of Neurology (SWT), University of Michigan, Ann Arbor; Department of Child Neurology (GS, WMO, KB), UMC Utrecht Brain Center, University Medical Center Utrecht and Utrecht University, the Netherlands; American Academy of Neurology (CER), Minneapolis, MN; University of Michigan Medical School (ASH); Department of Health Management and Policy (SNS), School of Public Health, University of Michigan, Ann Arbor; Department of Clinical Neurophysiology and Sleep Centre SEIN Zwolle (RvG, CJJvA), the Netherlands; Department of Neurology (JFB), the Ohio State University, Columbus; and Member of the European Reference Network EpiCARE (KPJB)
| | - Anisa S Haque
- Department of Neurology (SWT), University of Michigan, Ann Arbor; Department of Child Neurology (GS, WMO, KB), UMC Utrecht Brain Center, University Medical Center Utrecht and Utrecht University, the Netherlands; American Academy of Neurology (CER), Minneapolis, MN; University of Michigan Medical School (ASH); Department of Health Management and Policy (SNS), School of Public Health, University of Michigan, Ann Arbor; Department of Clinical Neurophysiology and Sleep Centre SEIN Zwolle (RvG, CJJvA), the Netherlands; Department of Neurology (JFB), the Ohio State University, Columbus; and Member of the European Reference Network EpiCARE (KPJB)
| | - Shawna N Smith
- Department of Neurology (SWT), University of Michigan, Ann Arbor; Department of Child Neurology (GS, WMO, KB), UMC Utrecht Brain Center, University Medical Center Utrecht and Utrecht University, the Netherlands; American Academy of Neurology (CER), Minneapolis, MN; University of Michigan Medical School (ASH); Department of Health Management and Policy (SNS), School of Public Health, University of Michigan, Ann Arbor; Department of Clinical Neurophysiology and Sleep Centre SEIN Zwolle (RvG, CJJvA), the Netherlands; Department of Neurology (JFB), the Ohio State University, Columbus; and Member of the European Reference Network EpiCARE (KPJB)
| | - Renate van Griethuysen
- Department of Neurology (SWT), University of Michigan, Ann Arbor; Department of Child Neurology (GS, WMO, KB), UMC Utrecht Brain Center, University Medical Center Utrecht and Utrecht University, the Netherlands; American Academy of Neurology (CER), Minneapolis, MN; University of Michigan Medical School (ASH); Department of Health Management and Policy (SNS), School of Public Health, University of Michigan, Ann Arbor; Department of Clinical Neurophysiology and Sleep Centre SEIN Zwolle (RvG, CJJvA), the Netherlands; Department of Neurology (JFB), the Ohio State University, Columbus; and Member of the European Reference Network EpiCARE (KPJB)
| | - Charlotte J J van Asch
- Department of Neurology (SWT), University of Michigan, Ann Arbor; Department of Child Neurology (GS, WMO, KB), UMC Utrecht Brain Center, University Medical Center Utrecht and Utrecht University, the Netherlands; American Academy of Neurology (CER), Minneapolis, MN; University of Michigan Medical School (ASH); Department of Health Management and Policy (SNS), School of Public Health, University of Michigan, Ann Arbor; Department of Clinical Neurophysiology and Sleep Centre SEIN Zwolle (RvG, CJJvA), the Netherlands; Department of Neurology (JFB), the Ohio State University, Columbus; and Member of the European Reference Network EpiCARE (KPJB)
| | - Willem M Otte
- Department of Neurology (SWT), University of Michigan, Ann Arbor; Department of Child Neurology (GS, WMO, KB), UMC Utrecht Brain Center, University Medical Center Utrecht and Utrecht University, the Netherlands; American Academy of Neurology (CER), Minneapolis, MN; University of Michigan Medical School (ASH); Department of Health Management and Policy (SNS), School of Public Health, University of Michigan, Ann Arbor; Department of Clinical Neurophysiology and Sleep Centre SEIN Zwolle (RvG, CJJvA), the Netherlands; Department of Neurology (JFB), the Ohio State University, Columbus; and Member of the European Reference Network EpiCARE (KPJB)
| | - James F Burke
- Department of Neurology (SWT), University of Michigan, Ann Arbor; Department of Child Neurology (GS, WMO, KB), UMC Utrecht Brain Center, University Medical Center Utrecht and Utrecht University, the Netherlands; American Academy of Neurology (CER), Minneapolis, MN; University of Michigan Medical School (ASH); Department of Health Management and Policy (SNS), School of Public Health, University of Michigan, Ann Arbor; Department of Clinical Neurophysiology and Sleep Centre SEIN Zwolle (RvG, CJJvA), the Netherlands; Department of Neurology (JFB), the Ohio State University, Columbus; and Member of the European Reference Network EpiCARE (KPJB)
| | - Kees P J Braun
- Department of Neurology (SWT), University of Michigan, Ann Arbor; Department of Child Neurology (GS, WMO, KB), UMC Utrecht Brain Center, University Medical Center Utrecht and Utrecht University, the Netherlands; American Academy of Neurology (CER), Minneapolis, MN; University of Michigan Medical School (ASH); Department of Health Management and Policy (SNS), School of Public Health, University of Michigan, Ann Arbor; Department of Clinical Neurophysiology and Sleep Centre SEIN Zwolle (RvG, CJJvA), the Netherlands; Department of Neurology (JFB), the Ohio State University, Columbus; and Member of the European Reference Network EpiCARE (KPJB)
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Lemoine É, Neves Briard J, Rioux B, Podbielski R, Nauche B, Toffa D, Keezer M, Lesage F, Nguyen DK, Bou Assi E. Computer-assisted analysis of routine electroencephalogram to identify hidden biomarkers of epilepsy: protocol for a systematic review. BMJ Open 2023; 13:e066932. [PMID: 36693684 PMCID: PMC9884857 DOI: 10.1136/bmjopen-2022-066932] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
INTRODUCTION The diagnosis of epilepsy frequently relies on the visual interpretation of the electroencephalogram (EEG) by a neurologist. The hallmark of epilepsy on EEG is the interictal epileptiform discharge (IED). This marker lacks sensitivity: it is only captured in a small percentage of 30 min routine EEGs in patients with epilepsy. In the past three decades, there has been growing interest in the use of computational methods to analyse the EEG without relying on the detection of IEDs, but none have made it to the clinical practice. We aim to review the diagnostic accuracy of quantitative methods applied to ambulatory EEG analysis to guide the diagnosis and management of epilepsy. METHODS AND ANALYSIS The protocol complies with the recommendations for systematic reviews of diagnostic test accuracy by Cochrane. We will search MEDLINE, EMBASE, EBM reviews, IEEE Explore along with grey literature for articles, conference papers and conference abstracts published after 1961. We will include observational studies that present a computational method to analyse the EEG for the diagnosis of epilepsy in adults or children without relying on the identification of IEDs or seizures. The reference standard is the diagnosis of epilepsy by a physician. We will report the estimated pooled sensitivity and specificity, and receiver operating characteristic area under the curve (ROC AUC) for each marker. If possible, we will perform a meta-analysis of the sensitivity and specificity and ROC AUC for each individual marker. We will assess the risk of bias using an adapted QUADAS-2 tool. We will also describe the algorithms used for signal processing, feature extraction and predictive modelling, and comment on the reproducibility of the different studies. ETHICS AND DISSEMINATION Ethical approval was not required. Findings will be disseminated through peer-reviewed publication and presented at conferences related to this field. PROSPERO REGISTRATION NUMBER CRD42022292261.
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Affiliation(s)
- Émile Lemoine
- Department of Neurosciences, University of Montreal, Montreal, Québec, Canada
- Institute of Biomedical Engineering, Ecole Polytechnique de Montreal, Montreal, Québec, Canada
| | - Joel Neves Briard
- Department of Neurosciences, University of Montreal, Montreal, Québec, Canada
- University of Montreal Hospital Centre Research Centre, Montreal, Québec, Canada
| | - Bastien Rioux
- Department of Neurosciences, University of Montreal, Montreal, Québec, Canada
- University of Montreal Hospital Centre Research Centre, Montreal, Québec, Canada
| | - Renata Podbielski
- University of Montreal Hospital Centre Research Centre, Montreal, Québec, Canada
| | - Bénédicte Nauche
- University of Montreal Hospital Centre Research Centre, Montreal, Québec, Canada
| | - Denahin Toffa
- Department of Neurosciences, University of Montreal, Montreal, Québec, Canada
- University of Montreal Hospital Centre Research Centre, Montreal, Québec, Canada
| | - Mark Keezer
- Department of Neurosciences, University of Montreal, Montreal, Québec, Canada
- Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands
| | - Frédéric Lesage
- Institute of Biomedical Engineering, Ecole Polytechnique de Montreal, Montreal, Québec, Canada
| | - Dang K Nguyen
- Department of Neurosciences, University of Montreal, Montreal, Québec, Canada
- University of Montreal Hospital Centre Research Centre, Montreal, Québec, Canada
| | - Elie Bou Assi
- Department of Neurosciences, University of Montreal, Montreal, Québec, Canada
- University of Montreal Hospital Centre Research Centre, Montreal, Québec, Canada
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Terman SW, Slinger G, Koek A, Skvarce J, Springer MV, Ziobro JM, Burke JF, Otte WM, Thijs RD, Braun KPJ. Frequency of and factors associated with antiseizure medication discontinuation discussions and decisions in patients with epilepsy: A multicenter retrospective chart review. Epilepsia Open 2023. [PMID: 36693718 DOI: 10.1002/epi4.12695] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 01/20/2023] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVE Guidelines suggest considering antiseizure medication (ASM) discontinuation in patients with epilepsy who become seizure-free. Little is known about how discontinuation decisions are being made in practice. We measured the frequency of, and factors associated with, discussions and decisions surrounding ASM discontinuation. METHODS We performed a multicenter retrospective cohort study at the University of Michigan (UM) and two Dutch centers: Wilhelmina Children's Hospital (WCH) and Stichting Epilepsie Instellingen Nederland (SEIN). We screened all children and adults with outpatient epilepsy visits in January 2015 and included those with at least one visit during the subsequent 2 years where they were seizure-free for at least one year. We recorded whether charts documented (1) a discussion with the patient about possible ASM discontinuation and (2) any planned attempt to discontinue at least one ASM. We conducted multilevel logistic regressions to determine factors associated with each outcome. RESULTS We included 1058 visits from 463 patients. Of all patients who were seizure-free at least one year, 248/463 (53%) had documentation of any discussion and 98/463 (21%) planned to discontinue at least one ASM. Corresponding frequencies for patients who were seizure-free at least 2 years were 184/285 (65%) and 74/285 (26%). The probability of discussing or discontinuing increased with longer duration of seizure freedom. Still, even for patients who were 10 years seizure-free, our models predicated that in only 49% of visits was a discontinuation discussion documented, and in only 16% of visits was it decided to discontinue all ASMs. Provider-to-provider variation explained 18% of variation in whether patients discontinued any ASM. SIGNIFICANCE Only approximately half of patients with prolonged seizure freedom had a documented discussion about ASM discontinuation. Discontinuation was fairly rare even among low-risk patients. Future work should further explore barriers to and facilitators of counseling and discontinuation attempts.
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Affiliation(s)
- Samuel W Terman
- University of Michigan Department of Neurology, Ann Arbor, Michigan, USA
| | - Geertruida Slinger
- Department of Child Neurology, UMC Utrecht Brain Center, Wilhelmina Children's Hospital, member of ERN EpiCare, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Adriana Koek
- University of Michigan Department of Neurology, Ann Arbor, Michigan, USA
| | - Jeremy Skvarce
- University of Michigan Medical School, Ann Arbor, Michigan, USA
| | | | - Julie M Ziobro
- University of Michigan Department of Pediatrics, Ann Arbor, Michigan, USA
| | - James F Burke
- Ohio State University Department of Neurology, Columbus, Ohio, USA
| | - Willem M Otte
- Department of Child Neurology, UMC Utrecht Brain Center, Wilhelmina Children's Hospital, member of ERN EpiCare, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Roland D Thijs
- Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands.,Department of Neurology, Leiden University Medical Centre (LUMC), Leiden, The Netherlands.,Queen Square Institute of Neurology, University College London, London, UK
| | - Kees P J Braun
- Department of Child Neurology, UMC Utrecht Brain Center, Wilhelmina Children's Hospital, member of ERN EpiCare, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
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Illias AM, Yu KJ, Wu SC, Cata JP, Tsai YF, Hung KC. Association of regional anesthesia with oncological outcomes in patients receiving surgery for bladder cancer: A meta-analysis of observational studies. Front Oncol 2023; 13:1097637. [PMID: 36910609 PMCID: PMC9992181 DOI: 10.3389/fonc.2023.1097637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 02/09/2023] [Indexed: 02/25/2023] Open
Abstract
Background This meta-analysis was conducted to compare cancer recurrence and survival rates in patients with bladder cancer receiving surgery under general anesthesia alone (i.e., GA group) or regional anesthesia (RA) with or without GA (i.e., RA ± GA group). Methods Literature search on Cochrane library, EMBASE, Google scholar, and Medline databases was performed to identify all relevant studies from inception to April 30, 2022. The primary outcome was cancer recurrence rate, while the secondary outcomes included overall survival rate and cancer-specific survival rate. Subgroup analyses were performed based on study design [(Propensity-score matching (PSM) vs. no-PSM)] and type of surgery [transurethral resection of bladder tumor (TURBT) vs. radical cystectomy]. Results Ten retrospective studies with a total of 13,218 patients (RA ± GA group n=4,884, GA group n=8,334) were included. There was no difference between RA ± GA group and GA group in age, the proportion of males, severe comorbidities, the proportion of patients receiving chemotherapy, and the pathological findings (all p >0.05). Patients in the RA ± GA group had significantly lower rate of bladder cancer recurrence [odds ratio (OR): 0.74, 95%CI: 0.61 to 0.9, p=0.003, I2 = 24%, six studies] compared to those in the GA group. Subgroup analyses based on study design revealed a consistent finding, while the beneficial effect of RA ± GA on reducing cancer recurrence was only significant in patients receiving TURBT (p=0.02), but not in those undergoing radical cystectomy (p=0.16). There were no significant differences in overall survival rate and cancer-specific survival rate between RA ± GA and GA groups. Conclusions For patients receiving surgery for bladder cancer, the application of regional anesthesia with or without general anesthesia is associated with significant decrease in cancer recurrence, especially in patients undergoing TURBT for non-muscle invasive bladder cancer. Because of the limited number of studies included and potential confounding factors, our results should be interpreted carefully. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42022328134.
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Affiliation(s)
- Amina M Illias
- Department of Anesthesiology, Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kai-Jie Yu
- Department of Urology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Shao-Chun Wu
- Department of Anesthesiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Juan P Cata
- Department of Anesthesiology and Perioperative Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States
| | - Yung-Fong Tsai
- Department of Anesthesiology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kuo-Chuan Hung
- Department of Anesthesiology, Chi Mei Medical Center, Tainan, Taiwan.,School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan
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Odero N, Oyieke K, Gwer S, Samia P. Risk factors for seizure recurrence after initial withdrawal of anti-seizure medications in children with epilepsy at Aga Khan University Hospital, Nairobi, Kenya. Epilepsy Behav Rep 2023; 22:100596. [PMID: 37013158 PMCID: PMC10066516 DOI: 10.1016/j.ebr.2023.100596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 03/13/2023] [Accepted: 03/19/2023] [Indexed: 04/05/2023] Open
Abstract
Objectives We sought to determine risk factors associated with seizure recurrence following initial withdrawal of anti-seizure medications (ASM) among children with epilepsy. Methods This was a retrospective observational study of children aged between 2 and 18 years with a diagnosis of epilepsy who underwent withdrawal of anti-seizure medication following remission of seizures. All eligible medical records between January 2011 and December 2019 were included. Demographic, clinical, imaging and electroencephalography data of all eligible patients were analyzed against seizure remission within 24 months after withdrawal of ASM, using appropriate parametric and non-parametric tests. Results A total of 49 records of children who underwent withdrawal of ASM out of a total of 613 patients on follow up during the same period were included. The median age at ASM withdrawal was 70 months (IQR 52-112 months) and 14 (28.6%) were female. Thirteen patients (26.5%) had seizure recurrence within 24 months following withdrawal of ASM. Focal onset seizure type was associated with significant risk of seizure recurrence (OR 13.7; 95% CI 0.97, 193.54; P value = 0.011). Age at epilepsy diagnosis, abnormal EEG at initiation of treatment and at the time of de-escalation, abnormal MRI findings, first or second degree relative with epilepsy, history of developmental delay, seizure burden, use of 2 or more ASMs and duration of seizure-freedom before de-escalation of ASM were not associated with increased risk of relapse. Conclusion Focal onset seizure type is associated with increased with risk of seizure recurrence in this cohort.
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Affiliation(s)
- Nicholas Odero
- Department of Paediatrics and Child Health, Aga Khan University Hospital, Nairobi, Kenya
- Corresponding author at: Aga Khan University Hospital, Department of Paediatrics, 3rd Parklands Avenue, Off Limuru Road, P.O Box 30270, GPO, 00100 Nairobi, Kenya.
| | - Katherine Oyieke
- Department of Paediatrics and Child Health, Aga Khan University Hospital, Nairobi, Kenya
| | - Samson Gwer
- School of Medicine, Kenyatta University, Nairobi, Kenya
| | - Pauline Samia
- Department of Paediatrics and Child Health, Aga Khan University Hospital, Nairobi, Kenya
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Zhao Y, Ding H, Zhao X, Qiu X, Li B. Risk factors of recurrence after drug withdrawal in children with epilepsy. Front Neurol 2023; 14:1122827. [PMID: 37181578 PMCID: PMC10172464 DOI: 10.3389/fneur.2023.1122827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 04/07/2023] [Indexed: 05/16/2023] Open
Abstract
This study aimed to evaluate the risk factors for recurrence in pediatric patients with epilepsy following normal antiseizure medication (ASM) treatment and drug withdrawal. We retrospectively analyzed 80 pediatric patients who received treatment at the Qilu Hospital of Shandong University between January 2009 and December 2019 after at least 2 years of seizure-free and normal electroencephalography (EEG) before the regular drug reduction. Patients were followed-up for at least 2 years and divided into the recurrence and nonrecurrence groups based on whether relapse occurred. Clinical information was gathered, and the risk variables for recurrence were statistically analyzed. Post 2 years of drug withdrawal, 19 patients showed relapses. The recurrence rate was 23.75%, and the mean time of recurrence was 11.09 ± 7.57 months, where 7 (36.8%) were women and 12 (63.2%) were men. In all, 41 pediatric patients were followed-up until the 3rd year, of which 2 (4.9%) patients experienced a relapse. Among the remaining 39 patients without relapse, 24 were followed-up until the 4th year, and no recurrence occurred. After being monitored for >4 years, 13 patients experienced no recurrence. The differences in the history of febrile seizures, combined use of ≥2 ASMs, and EEG abnormalities after drug withdrawal between the two groups were statistically significant (p < 0.05). Multivariate binary logistic regression analysis revealed that these factors are independent risk factors for recurrence after drug withdrawal in children with epilepsy: history of febrile seizures (OR = 4.322, 95% CI: 1.262-14.804), combined ASM use (OR = 4.783, 95% CI: 1.409-16.238), and EEG abnormalities after drug withdrawal (OR = 4.688, 95% CI: 1.154-19.050). In summary, our results suggest that the probability of seizure recurrence following drug cessation may be greatly increased by a history of febrile seizures, concomitant use of ≥2 ASMs, and EEG abnormalities after drug cessation. The majority of recurrences occurred in the first 2 years following drug discontinuation, whereas the rate of recurrence was minimal thereafter.
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Affiliation(s)
- Yongheng Zhao
- Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, China
- Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Hao Ding
- Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, China
- Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiaoyu Zhao
- Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, China
- Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiaochang Qiu
- Department of Geriatrics, The First Affiliated Hospital of Shandong First Medical University (Shandong Provincial Qianfoshan Hospital), Jinan, China
| | - Baomin Li
- Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, China
- *Correspondence: Baomin Li,
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Antiseizure medications (antiepileptic drugs) in adults: starting, monitoring and stopping. J Neurol 2023; 270:573-581. [PMID: 36153467 DOI: 10.1007/s00415-022-11378-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 09/06/2022] [Indexed: 01/07/2023]
Abstract
Up to 10% of people living to 80 years of age have one or more seizures; and many will not require anti-seizure medication (ASMs). In 85% of patients, the diagnosis comes from the history of the index event. One-third of patients with an apparent "first seizure" have previous events, changing their diagnosis to epilepsy. Targeted investigations are important for classification and risk prediction. Patients with a low risk of seizure recurrence are not usually offered ASM treatment. High-risk patients have multiple seizures, neurological deficits, intellectual disability and/or relevant abnormal investigations; and are offered ASMs. Individual factors modulate this decision-making. Future integrated technologies offer the game-changing potential for seizure monitoring and prediction, but are not yet robust, convenient or affordable. Therapeutic drug monitoring in patients taking ASMs may confirm ASM toxicity, or when non-adherence, malabsorption, or rapid metabolism are suspected causes of breakthrough seizures. They are less useful when these factors are intermittent or irregular. Current evidence does not favour routine monitoring of serum levels, as it neither reliably predicts control, relapse, or adverse effects. The decision to discontinue ASM should follow a full discussion with the patient of risks and benefits. Along with population risk factors for seizure recurrence, the patient's lifestyle and preferences must be considered. ASM are usually discontinued in a slow step-wise fashion, one at a time, after at least two years of remission. Seizure recurrence risk plateaus only after 2 years following ASM discontinuation, and patients need access to specialist follow-up over that period.
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Terman SW, Aschmann HE, Hutton DW, Burke JF. Best-worst scaling preferences among patients with well-controlled epilepsy: Pilot results. PLoS One 2023; 18:e0282658. [PMID: 36867630 PMCID: PMC9983827 DOI: 10.1371/journal.pone.0282658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 02/20/2023] [Indexed: 03/04/2023] Open
Abstract
Epilepsy is a common, serious condition. Fortunately, seizure risk decreases with increasing seizure-free time on antiseizure medications (ASMs). Eventually, patients may consider whether to stop ASMs, which requires weighing treatment benefit versus burden. We developed a questionnaire to quantify patient preferences relevant to ASM decision-making. Respondents rated how concerning they would finding relevant items (e.g., seizure risks, side effects, cost) on a Visual Analogue Scale (VAS, 0-100) and then repeatedly chose the most and least concerning item from subsets (best-worst scaling, BWS). We pretested with neurologists, then recruited adults with epilepsy who were seizure-free at least one year. Primary outcomes were recruitment rate, and qualitative and Likert-based feedback. Secondary outcomes included VAS ratings and best-minus-worst scores. Thirty-one of 60 (52%) contacted patients completed the study. Most patients felt VAS questions were clear (28; 90%), easy to use (27; 87%), and assessed preferences well (25; 83%). Corresponding results for BWS questions were 27 (87%), 29 (97%), and 23 (77%). Physicians suggested adding a 'warmup' question showing a completed example and simplifying terminology. Patients suggested ways to clarify instructions. Cost, inconvenience of taking medication, and laboratory monitoring were the least concerning items. Cognitive side effects and a 50% seizure risk in the next year were the most concerning items. Twelve (39%) of patients made at least one 'inconsistent choice' for example ranking a higher seizure risk as lower concern compared with a lower seizure risk, though 'inconsistent choices' represented only 3% of all question blocks. Our recruitment rate was favorable, most patients agreed the survey was clear, and we describe areas for improvement. 'Inconsistent' responses may lead us to collapse seizure probability items into a single 'seizure' category. Evidence regarding how patients weigh benefits and harms may inform care and guideline development.
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Affiliation(s)
- Samuel W. Terman
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, United States of America
- * E-mail:
| | - Hélène E. Aschmann
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America
- Epidemiology Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - David W. Hutton
- Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - James F. Burke
- Department of Neurology, the Ohio State University, Columbus, Ohio, United States of America
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de Matos MMF, Batista LA, Thomé U, Sakamoto AC, Santos MV, Machado HR, Wichert-Ana L, Hamad APA. Reduction in anti-seizure medications use in pediatric patients with pharmacoresistant epilepsy submitted to surgical treatment. Childs Nerv Syst 2022; 39:1193-1200. [PMID: 36580119 PMCID: PMC9798357 DOI: 10.1007/s00381-022-05812-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 12/15/2022] [Indexed: 12/30/2022]
Abstract
PURPOSE We aimed to analyze the potential for postoperative (PO) medication suspension and reduction, emphasizing passive withdrawal. METHODS Retrospective study of patients under 18 years old submitted to surgical treatment for pharmacoresistant epilepsy and classified as Engel I during the first year of PO follow-up. Therapeutic management was evaluated through discontinuation or reduction of medications, both in terms of the number of ASM prescribed and in daily maintenance dosages in mg/kg. RESULTS ASM withdrawal started in the first year PO and occurred in 1.2% of cases, with a significant yearly reduction in the number of ASM during follow-up (p < 0.001). A comparison of the most commonly used ASM in daily mg/kg between the preoperative period (preop) and PO showed a reduction of ASM maintenance dosages during PO. Even though recurrence of seizures was observed 5 years after surgery, 125 patients (85%) were still classified as Engel I, albeit a higher number of ASM per patient was observed. Most patients showed no changes in cognitive and adaptive behavior evaluation between preop and PO, even in those who were able to reduce ASM. CONCLUSION Significant reduction observed both in the number and daily maintenance dosages of ASM following each year of PO may be an indirect measure of the effectiveness of epilepsy surgery.
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Affiliation(s)
| | - Larissa Aparecida Batista
- Center for Epilepsy Surgery (CIREP), Preto Medical School, University of São Paulo, Bandeirantes Avenue, Ribeirão Preto, São Paulo, CEP, Brazil
| | - Ursula Thomé
- Center for Epilepsy Surgery (CIREP), Preto Medical School, University of São Paulo, Bandeirantes Avenue, Ribeirão Preto, São Paulo, CEP, Brazil
| | - Américo Ceiki Sakamoto
- Department of Neurosciences and Behavioural Sciences, Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
- Center for Epilepsy Surgery (CIREP), Preto Medical School, University of São Paulo, Bandeirantes Avenue, Ribeirão Preto, São Paulo, CEP, Brazil
| | - Marcelo Volpon Santos
- Center for Epilepsy Surgery (CIREP), Preto Medical School, University of São Paulo, Bandeirantes Avenue, Ribeirão Preto, São Paulo, CEP, Brazil
- Division of Pediatric Neurosurgery, Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Hélio Rubens Machado
- Center for Epilepsy Surgery (CIREP), Preto Medical School, University of São Paulo, Bandeirantes Avenue, Ribeirão Preto, São Paulo, CEP, Brazil
- Division of Pediatric Neurosurgery, Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Lauro Wichert-Ana
- Center for Epilepsy Surgery (CIREP), Preto Medical School, University of São Paulo, Bandeirantes Avenue, Ribeirão Preto, São Paulo, CEP, Brazil
- Division of Nuclear Medicine, Internal Medicine Department, Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Ana Paula Andrade Hamad
- Department of Neurosciences and Behavioural Sciences, Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
- Center for Epilepsy Surgery (CIREP), Preto Medical School, University of São Paulo, Bandeirantes Avenue, Ribeirão Preto, São Paulo, CEP, Brazil.
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Fang X, Hu S, Han T, Yang T, Hu J, Song Y, Li C, Ma A, Li Y, Kong Q, Tang L, Chen W, Sun W, Fang C, Sun Y, Chen J, Sun W, Yan Y, Gao Y, Geng J, Li N, Li Q, Jiang Z, Lv S, Li W, Lang X, Wang S, Chen Y, Li B, Li L, Liu X, Liu Y, Zhan Y, Gao Z, Qu L, Fu Q, Liu X. Effect of inactivated COVID-19 vaccines on seizure frequency in patients with epilepsy: A multicenter, prospective study. Front Immunol 2022; 13:984789. [PMID: 36569941 PMCID: PMC9769399 DOI: 10.3389/fimmu.2022.984789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 11/22/2022] [Indexed: 12/12/2022] Open
Abstract
Objectives Several COVID-19 vaccines list "uncontrolled epilepsy" as a contraindication for vaccination. This consequently restricts vaccination against COVID-19 in patients with epilepsy (PWE). However, there is no strong evidence that COVID-19 vaccination can exacerbate conditions in PWE. This study aims to determine the impact of COVID-19 vaccination on PWE. Methods PWE were prospectively recruited from 25 epilepsy centers. We recorded the seizure frequency at three time periods (one month before the first vaccination and one month after the first and second vaccinations). A generalized linear mixed-effects model (GLMM) was used for analysis, and the adjusted incidence rate ratio (AIRR) with 95% CI was presented and interpreted accordingly. Results Overall, 859 PWE were included in the analysis. Thirty-one (3.6%) and 35 (4.1%) patients were found to have increased seizure frequency after the two doses, respectively. Age had an interaction with time. The seizure frequency in adults decreased by 81% after the first dose (AIRR=0.19, 95% CI:0.11-0.34) and 85% after the second dose (AIRR=0.16, 95% CI:0.08-0.30). In juveniles (<18), it was 25% (AIRR=0.75, 95% CI:0.42-1.34) and 51% (AIRR=0.49, 95% CI:0.25-0.95), respectively. Interval between the last seizure before vaccination and the first dose of vaccination (ILSFV) had a significant effect on seizure frequency after vaccination. Seizure frequency in PWE with hereditary epilepsy after vaccination was significantly higher than that in PWE with unknown etiology (AIRR=1.95, 95% CI: 1.17-3.24). Two hundred and seventeen (25.3%) patients experienced non-epileptic but not serious adverse reactions. Discussion The inactivated COVID-19 vaccine does not significantly increase seizure frequency in PWE. The limitations of vaccination in PWE should focus on aspects other than control status. Juvenile PWE should be of greater concern after vaccination because they have lower safety. Finally, PWE should not reduce the dosage of anti-seizure medication during the peri-vaccination period.
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Affiliation(s)
- Xiqin Fang
- Department of Neurology, Qilu Hospital, Shandong University, Jinan, China,Institute of Epilepsy, Shandong University, Jinan, China
| | - Shimin Hu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China,Beijing Key Laboratory of Neuromodulation, Beijing, China,Institute of Sleep and Consciousness Disorders, Center of Epilepsy, Beijing institute for Brain Disorders, Capital Medical University, Beijing, China
| | - Tao Han
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Tingting Yang
- Department of Neurology, Qilu Hospital, Shandong University, Jinan, China,Institute of Epilepsy, Shandong University, Jinan, China
| | - Junji Hu
- Department of Neurology, Zibo Changguo Hospital, Zibo, China
| | - Yucheng Song
- Department of Neurology, Jining City Dai Zhuang Hospital, Jining, China
| | - Chunxiang Li
- Department of Pediatrics, Yantai Yuhuangding Hospital, Yantai, China
| | - Aihua Ma
- Department of Pediatrics, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Yufeng Li
- Department of Pediatrics, Linyi People’s Hospital, Linyi, China
| | - Qingxia Kong
- Department of Neurology, Affiliated Hospital of Jining Medical, Jining, China
| | - Liou Tang
- Department of Neurology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Wei Chen
- Department of Neurosurgery, Liaocheng People’s Hospital, Liaocheng, China
| | - Wenxiu Sun
- Department of Pediatrics, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Chunyan Fang
- Department of Neurology, Zhucheng People’s Hospital, Zhucheng, China
| | - Yanping Sun
- Department of Neurology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Juan Chen
- Department of Neurology, Heze Third People’s Hospital, Heze, China
| | - Wenying Sun
- Department of Pediatrics, Liaocheng People’s Hospital, Liaocheng, China
| | - Yibing Yan
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
| | - Yuxing Gao
- Department of Pediatrics, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Jianhong Geng
- Department of Neurology, Affiliated Hospital of Weifang Medical College, Weifang, China
| | - Nan Li
- Department of Neurology, Shengli Oilfield Central Hospital, Dongying, China
| | - Qiubo Li
- Department of Pediatrics, Affiliated Hospital of Jining Medical, Jining, China
| | - Zhaolun Jiang
- Department of Pediatrics, Tengzhou Central People’s Hospital, Zaozhuang, China
| | - Shishen Lv
- Department of Pediatrics, Tengzhou Central People’s Hospital, Zaozhuang, China
| | - Wenke Li
- Department of Pediatrics, Tengzhou Central People’s Hospital, Zaozhuang, China
| | - Xiaoling Lang
- Department of Neurology, Laizhou People’s Hospital, Qingdao, China
| | - Suli Wang
- Department of Pediatrics, Weifang Maternal and Child Health Care Hospital, Weifang, China
| | - Yanxiu Chen
- Department of Neurology, Liaocheng People’s Hospital, Liaocheng, China
| | - Baomin Li
- Department of Pediatrics, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Ling Li
- Department of Neurology, Qilu Hospital of Shandong University (Qingdao), Qingdao, China
| | - Xinjie Liu
- Department of Pediatrics, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yong Liu
- Department of Pediatrics, Qilu Children’s Hospital of Shandong University, Jinan, China
| | - Yan Zhan
- Department of Neurology, Affiliated Hospital of Binzhou Medical College, Yantai, China
| | - Zaifen Gao
- Department of Pediatrics, Qilu Children’s Hospital of Shandong University, Jinan, China
| | - Lixin Qu
- Department of Neurology, Dezhou People’s Hospital, Dezhou, China
| | - Qingxi Fu
- Department of Neurology, Linyi People’s Hospital, Linyi, China
| | - Xuewu Liu
- Department of Neurology, Qilu Hospital, Shandong University, Jinan, China,Institute of Epilepsy, Shandong University, Jinan, China,*Correspondence: Xuewu Liu,
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Diagnosis and Treatment of Poststroke Epilepsy: Where Do We Stand? Curr Treat Options Neurol 2022. [DOI: 10.1007/s11940-022-00744-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
Abstract
Purpose of Review
Stroke is the most common cause of seizures and epilepsy in older adults. This educational paper aims to give an update on current clinical aspects of diagnosis and treatment of poststroke epilepsy.
Recent Findings
Regarding epileptic seizures related to stroke, it is important to distinguish between acute symptomatic seizures and unprovoked seizures as they differ in their risk for seizure recurrence. In fact, after a single unprovoked poststroke seizure, a diagnosis of epilepsy can be made because there is a greater than 60% risk for further seizures. Clinical models that can predict the development of epilepsy after a stroke have been successfully established. However, treatment with anti-seizure medications is advised only after a first unprovoked poststroke seizure, as current treatments are not known to be effective for primary prevention. The management of poststroke epilepsy requires consideration of aspects such as age, drug-drug interactions and secondary vascular prophylaxis, yet evidence for the use of anti-seizure medications specifically in poststroke epilepsy is limited.
Summary
This text reviews the epidemiology and risk factors for poststroke epilepsy, explains the role of EEG and neuroimaging in patients with stroke and seizures and provides an overview on the clinical management of stroke-related acute symptomatic seizures and poststroke epilepsy.
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36
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Abe S, Tanaka T, Fukuma K, Matsubara S, Motoyama R, Mizobuchi M, Yoshimura H, Matsuki T, Manabe Y, Suzuki J, Ishiyama H, Tojima M, Kobayashi K, Shimotake A, Nishimura K, Koga M, Toyoda K, Murayama S, Matsumoto R, Takahashi R, Ikeda A, Ihara M. Interictal epileptiform discharges as a predictive biomarker for recurrence of poststroke epilepsy. Brain Commun 2022; 4:fcac312. [PMID: 36523270 PMCID: PMC9746685 DOI: 10.1093/braincomms/fcac312] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/13/2022] [Accepted: 11/25/2022] [Indexed: 08/05/2023] Open
Abstract
Poststroke epilepsy is a major ischaemic/haemorrhagic stroke complication. Seizure recurrence risk estimation and early therapeutic intervention are critical, given the association of poststroke epilepsy with worse functional outcomes, quality of life and greater mortality. Several studies have reported risk factors for seizure recurrence; however, in poststroke epilepsy, the role of EEG in predicting the risk of seizures remains unclear. This multicentre observational study aimed to clarify whether EEG findings constitute a risk factor for seizure recurrence in patients with poststroke epilepsy. Patients with poststroke epilepsy were recruited from the PROgnosis of POst-Stroke Epilepsy study, an observational multicentre cohort study. The enrolled patients with poststroke epilepsy were those admitted at selected hospitals between November 2014 and June 2017. All patients underwent EEG during the interictal period during admission to each hospital and were monitored for seizure recurrence over 1 year. Board-certified neurologists or epileptologists evaluated all EEG findings. We investigated the relationship between EEG findings and seizure recurrence. Among 187 patients with poststroke epilepsy (65 were women with a median age of 75 years) admitted to the lead hospital, 48 (25.7%) had interictal epileptiform discharges on EEG. During the follow-up period (median, 397 days; interquartile range, 337-450 days), interictal epileptiform discharges were positively correlated with seizure recurrence (hazard ratio, 3.82; 95% confidence interval, 2.09-6.97; P < 0.01). The correlation remained significant even after adjusting for age, sex, severity of stroke, type of stroke and generation of antiseizure medications. We detected periodic discharges in 39 patients (20.9%), and spiky/sharp periodic discharges were marginally associated with seizure recurrence (hazard ratio, 1.85; 95% confidence interval, 0.93-3.69; P = 0.08). Analysis of a validation cohort comprising 187 patients with poststroke epilepsy from seven other hospitals corroborated the association between interictal epileptiform discharges and seizure recurrence. We verified that interictal epileptiform discharges are a risk factor for seizure recurrence in patients with poststroke epilepsy. Routine EEG may facilitate the estimation of seizure recurrence risk and the development of therapeutic regimens for poststroke epilepsy.
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Affiliation(s)
- Soichiro Abe
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka 5648565, Japan
| | - Tomotaka Tanaka
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka 5648565, Japan
| | - Kazuki Fukuma
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka 5648565, Japan
| | - Soichiro Matsubara
- Department of Neurology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto 8608556, Japan
| | - Rie Motoyama
- Department of Neurology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo 1730015, Japan
| | - Masahiro Mizobuchi
- Department of Neurology, Nakamura Memorial Hospital, Sapporo 0608570, Japan
- Clinic of Minami-ichijyo Neurology, Sapporo 0600061, Japan
| | - Hajime Yoshimura
- Department of Neurology, Kobe City Medical Center General Hospital, Kobe 6500047, Japan
| | - Takayuki Matsuki
- Department of Neurology, St Mary’s Hospital, Fukuoka 8300047, Japan
| | - Yasuhiro Manabe
- Department of Neurology, National Hospital Organization Okayama Medical Center, Okayama 7011192, Japan
| | - Junichiro Suzuki
- Department of Neurology, Toyota Memorial Hospital, Toyota 4718513, Japan
| | - Hiroyuki Ishiyama
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka 5648565, Japan
| | - Maya Tojima
- Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto 6068507, Japan
| | - Katsuya Kobayashi
- Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto 6068507, Japan
| | - Akihiro Shimotake
- Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto 6068507, Japan
| | - Kunihiro Nishimura
- Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Osaka 5648565, Japan
| | - Masatoshi Koga
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Osaka 5648565, Japan
| | - Kazunori Toyoda
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Osaka 5648565, Japan
| | - Shigeo Murayama
- Department of Neurology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo 1730015, Japan
| | - Riki Matsumoto
- Division of Neurology, Kobe University Graduate School of Medicine, Kobe 6500017, Japan
| | - Ryosuke Takahashi
- Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto 6068507, Japan
| | - Akio Ikeda
- Department of Epilepsy, Movement Disorders and Physiology, Kyoto University Graduate School of Medicine, Kyoto 6068507, Japan
| | - Masafumi Ihara
- Correspondence to: Masafumi Ihara, MD, PhD Department of Neurology, National Cerebral and Cardiovascular Center 6-1 Kishibeshimmachi, Suita, Osaka 564-8565, Japan E-mail:
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37
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Bronisz E, Cudna A, Wierzbicka A, Kurkowska-Jastrzębska I. Serum Proteins Associated with Blood-Brain Barrier as Potential Biomarkers for Seizure Prediction. Int J Mol Sci 2022; 23:ijms232314712. [PMID: 36499038 PMCID: PMC9740683 DOI: 10.3390/ijms232314712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 11/20/2022] [Accepted: 11/21/2022] [Indexed: 11/27/2022] Open
Abstract
As 30% of epileptic patients remain drug-resistant, seizure prediction is vital. Induction of epileptic seizure is a complex process that can depend on factors such as intrinsic neuronal excitability, changes in extracellular ion concentration, glial cell activity, presence of inflammation and activation of the blood−brain barrier (BBB). In this study, we aimed to assess if levels of serum proteins associated with BBB can predict seizures. Serum levels of MMP-9, MMP-2, TIMP-1, TIMP-2, S100B, CCL-2, ICAM-1, P-selectin, and TSP-2 were examined in a group of 49 patients with epilepsy who were seizure-free for a minimum of seven days and measured by ELISA. The examination was repeated after 12 months. An extensive medical history was taken, and patients were subjected to a follow-up, including a detailed history of seizures. Serum levels of MMP-2, MMP-9, TIMP-1, CCL-2, and P-selectin differed between the two time points (p < 0.0001, p < 0.0001, p < 0.0001, p < 0.0001, p = 0.0035, respectively). General linear model analyses determined the predictors of seizures. Levels of MMP-2, MMP-9, and CCL-2 were found to influence seizure count in 1, 3, 6, and 12 months of observation. Serum levels of MMP-2, MMP-9, and CCL-2 may be considered potential biomarkers for seizure prediction and may indicate BBB activation.
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Affiliation(s)
- Elżbieta Bronisz
- Second Department of Neurology, Institute of Psychiatry and Neurology, 02-957 Warsaw, Poland
- Correspondence:
| | - Agnieszka Cudna
- Second Department of Neurology, Institute of Psychiatry and Neurology, 02-957 Warsaw, Poland
| | - Aleksandra Wierzbicka
- Sleep Disorders Center, Department of Clinical Neurophysiology, Institute of Psychiatry and Neurology, 02-957 Warsaw, Poland
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Holtkamp M, Krämer G. Antiepileptic pharmacotherapy in old age: evidence-based approach versus clinical routine – English Version. ZEITSCHRIFT FÜR EPILEPTOLOGIE 2022. [DOI: 10.1007/s10309-022-00492-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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39
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Stevelink R, Al-Toma D, Jansen FE, Lamberink HJ, Asadi-Pooya AA, Farazdaghi M, Cação G, Jayalakshmi S, Patil A, Özkara Ç, Aydın Ş, Gesche J, Beier CP, Stephen LJ, Brodie MJ, Unnithan G, Radhakrishnan A, Höfler J, Trinka E, Krause R, Irelli EC, Di Bonaventura C, Szaflarski JP, Hernández-Vanegas LE, Moya-Alfaro ML, Zhang Y, Zhou D, Pietrafusa N, Specchio N, Japaridze G, Beniczky S, Janmohamed M, Kwan P, Syvertsen M, Selmer KK, Vorderwülbecke BJ, Holtkamp M, Viswanathan LG, Sinha S, Baykan B, Altindag E, von Podewils F, Schulz J, Seneviratne U, Viloria-Alebesque A, Karakis I, D'Souza WJ, Sander JW, Koeleman BP, Otte WM, Braun KP. Individualised prediction of drug resistance and seizure recurrence after medication withdrawal in people with juvenile myoclonic epilepsy: A systematic review and individual participant data meta-analysis. EClinicalMedicine 2022; 53:101732. [PMID: 36467455 PMCID: PMC9716332 DOI: 10.1016/j.eclinm.2022.101732] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 10/14/2022] [Accepted: 10/18/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND A third of people with juvenile myoclonic epilepsy (JME) are drug-resistant. Three-quarters have a seizure relapse when attempting to withdraw anti-seizure medication (ASM) after achieving seizure-freedom. It is currently impossible to predict who is likely to become drug-resistant and safely withdraw treatment. We aimed to identify predictors of drug resistance and seizure recurrence to allow for individualised prediction of treatment outcomes in people with JME. METHODS We performed an individual participant data (IPD) meta-analysis based on a systematic search in EMBASE and PubMed - last updated on March 11, 2021 - including prospective and retrospective observational studies reporting on treatment outcomes of people diagnosed with JME and available seizure outcome data after a minimum one-year follow-up. We invited authors to share standardised IPD to identify predictors of drug resistance using multivariable logistic regression. We excluded pseudo-resistant individuals. A subset who attempted to withdraw ASM was included in a multivariable proportional hazards analysis on seizure recurrence after ASM withdrawal. The study was registered at the Open Science Framework (OSF; https://osf.io/b9zjc/). FINDINGS Our search yielded 1641 articles; 53 were eligible, of which the authors of 24 studies agreed to collaborate by sharing IPD. Using data from 2518 people with JME, we found nine independent predictors of drug resistance: three seizure types, psychiatric comorbidities, catamenial epilepsy, epileptiform focality, ethnicity, history of CAE, family history of epilepsy, status epilepticus, and febrile seizures. Internal-external cross-validation of our multivariable model showed an area under the receiver operating characteristic curve of 0·70 (95%CI 0·68-0·72). Recurrence of seizures after ASM withdrawal (n = 368) was predicted by an earlier age at the start of withdrawal, shorter seizure-free interval and more currently used ASMs, resulting in an average internal-external cross-validation concordance-statistic of 0·70 (95%CI 0·68-0·73). INTERPRETATION We were able to predict and validate clinically relevant personalised treatment outcomes for people with JME. Individualised predictions are accessible as nomograms and web-based tools. FUNDING MING fonds.
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Affiliation(s)
- Remi Stevelink
- Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, European Reference Network EpiCARE, Heidelberglaan 100, Utrecht, 3584 CX, Netherlands
- Department of Genetics, Center for Molecular Medicine, University Medical Center Utrecht, European Reference Network EpiCARE, Heidelberglaan 100, Utrecht, 3584 CX, Netherlands
- Corresponding author. Department of Child Neurology, University Medical Center Utrecht, 3584 CX, Utrecht, Netherlands.
| | - Dania Al-Toma
- Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, European Reference Network EpiCARE, Heidelberglaan 100, Utrecht, 3584 CX, Netherlands
| | - Floor E. Jansen
- Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, European Reference Network EpiCARE, Heidelberglaan 100, Utrecht, 3584 CX, Netherlands
| | - Herm J. Lamberink
- Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, European Reference Network EpiCARE, Heidelberglaan 100, Utrecht, 3584 CX, Netherlands
| | - Ali A. Asadi-Pooya
- Epilepsy Research Center, Shiraz University of Medical Sciences, Zand, Shiraz, Iran
- Department of Neurology, Thomas Jefferson University, 909 Walnut Street, Philadelphia, PA, 19107, USA
| | - Mohsen Farazdaghi
- Epilepsy Research Center, Shiraz University of Medical Sciences, Zand, Shiraz, Iran
| | - Gonçalo Cação
- Department of Neurology, Unidade Local de Saude do Alto Minho, Estrada de Santa Luzia, Viana do Castelo, 4904-858, Portugal
| | - Sita Jayalakshmi
- Department of Neurology, Krishna Institute of Medical Sciences, Minister Road, Secunderabad, 500003, India
| | - Anuja Patil
- Department of Neurology, Krishna Institute of Medical Sciences, Minister Road, Secunderabad, 500003, India
| | - Çiğdem Özkara
- Department of Neurology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpaşa, Kocamustafapaşa caddesi, Istanbul, 34098, Turkey
| | - Şenay Aydın
- Department of Neurology, Yedikule Chest Diseases and Chest Surgery Training and Research Hospital, University of Health Sciences, Belgrat Kapı yolu, Istanbul, 34020, Turkey
| | - Joanna Gesche
- Department of Neurology, Odense University Hospital, J.B. Winsløws Vej 4, Odense, 5000, Denmark
- Department of Clinical Research, University of Southern Denmark, J.B. Winsløws Vej 4, Odense, 5000, Denmark
| | - Christoph P. Beier
- Department of Neurology, Odense University Hospital, J.B. Winsløws Vej 4, Odense, 5000, Denmark
- Department of Clinical Research, University of Southern Denmark, J.B. Winsløws Vej 4, Odense, 5000, Denmark
| | - Linda J. Stephen
- Epilepsy Unit, University of Glasgow, University Avenue, Glasgow, G12 8QQ, UK
| | - Martin J. Brodie
- Epilepsy Unit, University of Glasgow, University Avenue, Glasgow, G12 8QQ, UK
| | - Gopeekrishnan Unnithan
- Department of Neurology, R. Madhavan Nayar Center for Comprehensive Epilepsy Care, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Chalakkuzhi, Medical College Road, Trivandrum, 695011, India
| | - Ashalatha Radhakrishnan
- Department of Neurology, R. Madhavan Nayar Center for Comprehensive Epilepsy Care, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Chalakkuzhi, Medical College Road, Trivandrum, 695011, India
| | - Julia Höfler
- Department of Neurology and Neuroscience Institute, Christian Doppler Medical Centre, Paracelsus Medical University and Centre for Cognitive Neuroscience, European Reference Network EpiCARE, Ignaz-Harrer Straße 79, Salzburg, 5020, Austria
| | - Eugen Trinka
- Department of Neurology and Neuroscience Institute, Christian Doppler Medical Centre, Paracelsus Medical University and Centre for Cognitive Neuroscience, European Reference Network EpiCARE, Ignaz-Harrer Straße 79, Salzburg, 5020, Austria
- Karl Landsteiner Institute for Neurorehabilitation and Space Neurology, Hellbrunner Straße 34, Salzburg, 3100, Austria
- Department of Public Health, University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnöfer-Zentrum 1, Hall in Tirol, 6060, Austria
| | - Roland Krause
- Bioinformatics Core Facility, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 6 Ave du Swing, Belvaux, 4367, Luxembourg
| | | | - Emanuele Cerulli Irelli
- Department of Human Neurosciences, Epilepsy Unit, Sapienza, University of Rome, Viale dell'Università 30, Rome, 00185, Italy
| | - Carlo Di Bonaventura
- Department of Human Neurosciences, Epilepsy Unit, Sapienza, University of Rome, Viale dell'Università 30, Rome, 00185, Italy
| | - Jerzy P. Szaflarski
- Departments of Neurology, Neurosurgery, and Neurobiology, UAB Epilepsy Center, University of Alabama at Birmingham Heersink School of Medicine, 1670 University Blvd, Birmingham, AL, 35294, USA
| | - Laura E. Hernández-Vanegas
- Department of Clinical Research, Epilepsy Clinic, National Institute of Neurology and Neurosurgery, Insurgentes Sur 3877, Mexico, 14269, Mexico
| | - Monica L. Moya-Alfaro
- Department of Clinical Research, Epilepsy Clinic, National Institute of Neurology and Neurosurgery, Insurgentes Sur 3877, Mexico, 14269, Mexico
| | - Yingying Zhang
- Department of Neurology, West China Hospital of Sichuan University, 37 Guoxue Road, Chengdu, 610000, China
| | - Dong Zhou
- Department of Neurology, West China Hospital of Sichuan University, 37 Guoxue Road, Chengdu, 610000, China
| | - Nicola Pietrafusa
- Department of Neuroscience, Division of Neurology, Bambino Gesù Children's Hospital, IRCCS, Piazza Sant'Onofrio, 4, Rome, 00165, Italy
| | - Nicola Specchio
- Department of Neuroscience, Division of Neurology, Bambino Gesù Children's Hospital, IRCCS, Piazza Sant'Onofrio, 4, Rome, 00165, Italy
| | - Giorgi Japaridze
- Department of Clinical Neurophysiology, Institute of Neurology and Neuropsychology, 83/11 Vazha-Pshavela Ave., Tbilisi, 186, Georgia
| | - Sándor Beniczky
- Department of Clinical Neurophysiology, Danish Epilepsy Centre, Filadelfia, Visby Allé 5, Dianalund, 4293, Denmark
- Department of Clinical Neurophysiology, Aarhus University Hospital and Aarhus University, Palle Juul-Jensens Blvd. 99, Aarhus, 8200, Denmark
| | - Mubeen Janmohamed
- Department of Neurosciences, Central Clinical School, Monash University, 99 Commercial Road, Melbourne, Victoria, 3004, Australia
| | - Patrick Kwan
- Department of Neurosciences, Central Clinical School, Monash University, 99 Commercial Road, Melbourne, Victoria, 3004, Australia
- Departments of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Grattan Street, Parkville, Victoria, Australia
| | - Marte Syvertsen
- Department of Neurology, Vestre Viken Hospital Trust, Dronninggata 28, Drammen, 3004, Norway
| | - Kaja K. Selmer
- National Centre for Epilepsy & Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, G. F. Henriksens vei 29, Sandvika, 1337, Norway
| | - Bernd J. Vorderwülbecke
- Department of Neurology, Epilepsy-Center Berlin-Brandenburg, Charité - Universitätsmedizin Berlin, Charitéplatz 1, Berlin, 10117, Germany
| | - Martin Holtkamp
- Department of Neurology, Epilepsy-Center Berlin-Brandenburg, Charité - Universitätsmedizin Berlin, Charitéplatz 1, Berlin, 10117, Germany
| | | | - Sanjib Sinha
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029, India
| | - Betül Baykan
- Department of Neurology and Clinical Neurophysiology, Istanbul Faculty of Medicine, Istanbul University, Millet Cad, Istanbul, 34390, Turkey
| | - Ebru Altindag
- Department of Neurology, Istanbul Florence Nightingale Hospital, Abide-i Hürriyet Cad, Istanbul, 34381, Turkey
| | - Felix von Podewils
- Department of Neurology, Epilepsy Center, University Medicine Greifswald, Sauerbruchstraße, Greifswald, 17489, Germany
| | - Juliane Schulz
- Department of Neurology, Epilepsy Center, University Medicine Greifswald, Sauerbruchstraße, Greifswald, 17489, Germany
| | - Udaya Seneviratne
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, 55 Victoria Parade, Melbourne, Victoria, 3065, Australia
- Department of Medicine, The School of Clinical Sciences at Monash Health, Monash University, Clayton Road, Melbourne, Victoria, 3168, Australia
| | - Alejandro Viloria-Alebesque
- Department of Neurology, Hospital General de la Defensa, Vía Ibérica 1, Zaragoza, 50009, Spain
- Instituto de Investigación Sanitaria (IIS) Aragón, Avda. San Juan Bosco 13, Zaragoza, 50009, Spain
| | - Ioannis Karakis
- Department of Neurology, Emory University School of Medicine, 49 Jesse Hill Jr. Drive SE, Office 335, Atlanta, GA, 30303, USA
| | - Wendyl J. D'Souza
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, 55 Victoria Parade, Melbourne, Victoria, 3065, Australia
| | - Josemir W. Sander
- Department of Neurology, West China Hospital of Sichuan University, 37 Guoxue Road, Chengdu, 610000, China
- Stichting Epilepsie Instellingen Nederland (SEIN), Achterweg 7, Heemstede, Netherlands
- UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Bobby P.C. Koeleman
- Department of Genetics, Center for Molecular Medicine, University Medical Center Utrecht, European Reference Network EpiCARE, Heidelberglaan 100, Utrecht, 3584 CX, Netherlands
| | - Willem M. Otte
- Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, European Reference Network EpiCARE, Heidelberglaan 100, Utrecht, 3584 CX, Netherlands
| | - Kees P.J. Braun
- Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, European Reference Network EpiCARE, Heidelberglaan 100, Utrecht, 3584 CX, Netherlands
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Scott IA, Reeve E, Hilmer SN. Establishing the worth of deprescribing inappropriate medications: are we there yet? Med J Aust 2022; 217:283-286. [PMID: 36030510 DOI: 10.5694/mja2.51686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/14/2022] [Accepted: 06/21/2022] [Indexed: 01/07/2023]
Affiliation(s)
- Ian A Scott
- Princess Alexandra Hospital, Brisbane, QLD
- University of Queensland, Brisbane, QLD
| | | | - Sarah N Hilmer
- Royal North Shore Hospital, Sydney, NSW
- University of Sydney, Sydney, NSW
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Seidel S, Wehner T, Miller D, Wellmer J, Schlegel U, Grönheit W. Brain tumor related epilepsy: pathophysiological approaches and rational management of antiseizure medication. Neurol Res Pract 2022; 4:45. [PMID: 36059029 PMCID: PMC9442934 DOI: 10.1186/s42466-022-00205-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 07/13/2022] [Indexed: 11/10/2022] Open
Abstract
Background Brain tumor related epilepsy (BTRE) is a common complication of cerebral tumors and its incidence is highly dependent on the type of tumor, ranging from 10–15% in brain metastases to > 80% in low grade gliomas. Clinical management is challenging and has to take into account aspects beyond the treatment of non-tumoral epilepsy. Main body Increasing knowledge about the pathophysiology of BTRE, particularly on glutamatergic mechanisms of oncogenesis and epileptogenesis, might influence management of anti-tumor and BTRE treatment in the future. The first seizure implies the diagnosis of epilepsy in patients with brain tumors. Due to the lack of prospective randomized trials in BTRE, general recommendations for focal epilepsies currently apply concerning the initiation of antiseizure medication (ASM). Non-enzyme inducing ASM is preferable. Prospective trials are needed to evaluate, if AMPA inhibitors like perampanel possess anti-tumor effects. ASM withdrawal has to be weighed very carefully against the risk of seizure recurrence, but can be achievable in selected patients. Permission to drive is possible for some patients with BTRE under well-defined conditions, but requires thorough neurological, radiological, ophthalmological and neuropsychological examination.
Conclusion An evolving knowledge on pathophysiology of BTRE might influence future therapy. Randomized trials on ASM in BTRE with reliable endpoints are needed. Management of withdrawal of ASMs and permission to drive demands thorough diagnostic as well as neurooncological and epileptological expertise.
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Yıldırım M, Bektaş Ö, Kartal AT, Yeniay Süt N, Teber S. Risk of seizure relapse and long-term outcomes after discontinuation of antiseizure medication in children with epilepsy. Epilepsy Behav 2022; 134:108779. [PMID: 35763995 DOI: 10.1016/j.yebeh.2022.108779] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/21/2022] [Accepted: 05/29/2022] [Indexed: 11/19/2022]
Abstract
OBJECTIVES The aims of this study were to evaluate the demographic and clinical characteristics of children with epilepsy who discontinued their antiseizure medication (ASM), to determine potential predictors of seizure relapse, to calculate the rate of seizure relapse, and to detect long-term seizure outcomes. METHODS A total of 269 seizure-free children with epilepsy who were decided to discontinue their ASM and were followed up for at least 18 months after ASM withdrawal were retrospectively evaluated. RESULTS The enrolled children had been followed up for a median of 46 months (range 18-126 months; IQR: 29-61) after ASM withdrawal and 90 (33.5%) of their seizures relapsed. The median time to seizure relapse was 8 months (range 0.23-117 months; IQR: 2-25). Seizure relapse occurred in 16.7% of the 90 children at 1 month, 45.6% at 6 months, 62.2% at 1 year, 74.4% at 2 years, and 94.4% at 5 years. Univariate logistic regression analyses revealed six predictors significantly related to relapse: age at first seizure, age at diagnosis of epilepsy, intellectual disability, EEG findings after ASM withdrawal, ASM tapering time, and number of seizures on ASM. In multivariate logistic regression analyses, age at first seizure, intellectual disability, and ASM tapering time were not significantly associated anymore. The other three remained independently predictive. Pharmacological control of seizures with monotherapy was restored in 93.3% of the children with seizure relapse. CONCLUSION This study evaluated potential predictors of seizure relapse, some of which have rarely been evaluated in previous studies. Adolescent age at diagnosis, abnormal EEG findings after ASM withdrawal, and high number of seizures on ASM were associated with a higher risk of seizure relapse. Abnormal MRI findings such as malformations of cortical development and hydrocephalus may be potential biomarkers for the risk of seizure relapse.
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Affiliation(s)
- Miraç Yıldırım
- Department of Pediatric Neurology, Ankara University, Faculty of Medicine, Ankara, Turkey.
| | - Ömer Bektaş
- Department of Pediatric Neurology, Ankara University, Faculty of Medicine, Ankara, Turkey.
| | - Ayşe Tuğba Kartal
- Department of Pediatric Neurology, Ankara University, Faculty of Medicine, Ankara, Turkey
| | - Nurşah Yeniay Süt
- Department of Pediatric Neurology, Ankara University, Faculty of Medicine, Ankara, Turkey.
| | - Serap Teber
- Department of Pediatric Neurology, Ankara University, Faculty of Medicine, Ankara, Turkey.
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Terman SW, Niznik JD, Slinger G, Otte WM, Braun KPJ, Aubert CE, Kerr WT, Boyd CM, Burke JF. Incidence of and predictors for antiseizure medication gaps in Medicare beneficiaries with epilepsy: a retrospective cohort study. BMC Neurol 2022; 22:328. [PMID: 36050646 PMCID: PMC9434838 DOI: 10.1186/s12883-022-02852-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 08/25/2022] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND For the two-thirds of patients with epilepsy who achieve seizure remission on antiseizure medications (ASMs), patients and clinicians must weigh the pros and cons of long-term ASM treatment. However, little work has evaluated how often ASM discontinuation occurs in practice. We describe the incidence of and predictors for sustained ASM fill gaps to measure discontinuation in individuals potentially eligible for ASM withdrawal. METHODS This was a retrospective cohort of Medicare beneficiaries. We included patients with epilepsy by requiring International Classification of Diseases codes for epilepsy/convulsions plus at least one ASM prescription each year 2014-2016, and no acute visit for epilepsy 2014-2015 (i.e., potentially eligible for ASM discontinuation). The main outcome was the first day of a gap in ASM supply (30, 90, 180, or 360 days with no pills) in 2016-2018. We displayed cumulative incidence functions and identified predictors using Cox regressions. RESULTS Among 21,819 beneficiaries, 5191 (24%) had a 30-day gap, 1753 (8%) had a 90-day gap, 803 (4%) had a 180-day gap, and 381 (2%) had a 360-day gap. Predictors increasing the chance of a 180-day gap included number of unique medications in 2015 (hazard ratio [HR] 1.03 per medication, 95% confidence interval [CI] 1.01-1.05) and epileptologist prescribing physician (≥25% of that physician's visits for epilepsy; HR 2.37, 95% CI 1.39-4.03). Predictors decreasing the chance of a 180-day gap included Medicaid dual eligibility (HR 0.75, 95% CI 0.60-0.95), number of unique ASMs in 2015 (e.g., 2 versus 1: HR 0.37, 95% CI 0.30-0.45), and greater baseline adherence (> 80% versus ≤80% of days in 2015 with ASM pill supply: HR 0.38, 95% CI 0.32-0.44). CONCLUSIONS Sustained ASM gaps were rarer than current guidelines may suggest. Future work should further explore barriers and enablers of ASM discontinuation to understand the optimal discontinuation rate.
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Affiliation(s)
- Samuel W. Terman
- grid.214458.e0000000086837370Department of Neurology, University of Michigan, Ann Arbor, MI 48109 USA
| | - Joshua D. Niznik
- grid.10698.360000000122483208Division of Geriatric Medicine, Center for Aging and Health, School of Medicine, University of North Carolina At Chapel Hill, Chapel Hill, NC 27599 USA ,grid.10698.360000000122483208Division of Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, University of North Carolina At Chapel Hill, Chapel Hill, NC 27599 USA
| | - Geertruida Slinger
- grid.5477.10000000120346234Department of Child Neurology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Willem M. Otte
- grid.5477.10000000120346234Department of Child Neurology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Kees P. J. Braun
- grid.5477.10000000120346234Department of Child Neurology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Carole E. Aubert
- grid.5734.50000 0001 0726 5157Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland ,grid.5734.50000 0001 0726 5157Institute of Primary Health Care (BIHAM), University of Bern, Mittelstrasse 43, 3012 Bern, Switzerland
| | - Wesley T. Kerr
- grid.214458.e0000000086837370Department of Neurology, University of Michigan, Ann Arbor, MI 48109 USA
| | - Cynthia M. Boyd
- grid.21107.350000 0001 2171 9311Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD 21224 USA
| | - James F. Burke
- grid.261331.40000 0001 2285 7943Department of Neurology, the Ohio State University, Columbus, OH 43210 USA
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Hale AT, Chari A, Scott RC, Cross JH, Rozzelle CJ, Blount JP, Tisdall MM. Expedited epilepsy surgery prior to drug resistance in children: a frontier worth crossing? Brain 2022; 145:3755-3762. [PMID: 35883201 DOI: 10.1093/brain/awac275] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 06/18/2022] [Accepted: 07/08/2022] [Indexed: 11/14/2022] Open
Abstract
Epilepsy surgery is an established safe and effective treatment for selected candidates with drug-resistant epilepsy. In this opinion piece, we outline the clinical and experimental evidence for selectively considering epilepsy surgery prior to drug resistance. Our rationale for expedited surgery is based on the observations that, 1) a high proportion of patients with lesional epilepsies (e.g. focal cortical dysplasia, epilepsy associated tumours) will progress to drug-resistance, 2) surgical treatment of these lesions, especially in non-eloquent areas of brain, is safe, and 3) earlier surgery may be associated with better seizure outcomes. Potential benefits beyond seizure reduction or elimination include less exposure to anti-seizure medications (ASM), which may lead to improved developmental trajectories in children and optimize long-term neurocognitive outcomes and quality of life. Further, there exists emerging experimental evidence that brain network dysfunction exists at the onset of epilepsy, where continuing dysfunctional activity could exacerbate network perturbations. This in turn could lead to expanded seizure foci and contribution to the comorbidities associated with epilepsy. Taken together, we rationalize that epilepsy surgery, in carefully selected cases, may be considered prior to drug resistance. Lastly, we outline the path forward, including the challenges associated with developing the evidence base and implementing this paradigm into clinical care.
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Affiliation(s)
- Andrew T Hale
- Division of Pediatric Neurosurgery, Children's of Alabama, Birmingham, AL, USA
| | - Aswin Chari
- Department of Neurosurgery, Great Ormond Street Hospital, London, UK.,Developmental Neurosciences, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Rod C Scott
- Developmental Neurosciences, Great Ormond Street Institute of Child Health, University College London, London, UK.,Department of Paediatric Neurology, Nemours Children's Hospital, Wilmington, DE, USA.,Department of Paediatric Neurology, Great Ormond Street Hospital, London, UK
| | - J Helen Cross
- Developmental Neurosciences, Great Ormond Street Institute of Child Health, University College London, London, UK.,Department of Paediatric Neurology, Great Ormond Street Hospital, London, UK
| | - Curtis J Rozzelle
- Division of Pediatric Neurosurgery, Children's of Alabama, Birmingham, AL, USA
| | - Jeffrey P Blount
- Division of Pediatric Neurosurgery, Children's of Alabama, Birmingham, AL, USA
| | - Martin M Tisdall
- Department of Neurosurgery, Great Ormond Street Hospital, London, UK.,Developmental Neurosciences, Great Ormond Street Institute of Child Health, University College London, London, UK
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Sharma S, Chen Z, Rychkova M, Dunne J, Lee J, Lawn N, Kwan P. Risk factors and consequences of self-discontinuation of treatment by patients with newly diagnosed epilepsy. Epilepsy Behav 2022; 131:108664. [PMID: 35483203 DOI: 10.1016/j.yebeh.2022.108664] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 03/04/2022] [Accepted: 03/06/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Patients with epilepsy not uncommonly self-discontinue treatment with antiseizure medications (ASM). The rate, reasons for this, and consequences have not been well studied. METHODS We analyzed self-discontinuation of ASM treatment in patients with recently diagnosed epilepsy via review of clinic letters and hospital correspondence in a prospective cohort of first seizure patients. RESULTS We studied 489 patients with newly diagnosed and treated epilepsy (median age 41, range 14-88, 62% male), followed up for a median duration of 3.0 years (interquartile range [IQR]: 1.2-6.0). Seventy eight (16.0%) self-discontinued ASM therapy after a median treatment duration of 1.4 years (IQR: 0.4-2.9), and after a median duration of seizure freedom of 11.8 months (IQR: 4.6-31.8). Patients commonly self-discontinued treatment due to adverse effects (41%), perception that treatment was no longer required (35%), and planned or current pregnancy (12%). Patients who self-discontinued were less likely to have epileptogenic lesions on neuroimaging (hazard ratio [HR] = 0.44, 95% confidence interval [CI]: 0.23-0.83), presentation with seizure clusters (HR = 0.32, 95% CI: 0.14-0.69) and presentation with tonic-clonic seizures (HR = 0.36, 95% CI: 0.19-0.70). Patients with shorter interval since the last seizure (HR = 0.76, 95% CI: 0.66-0.86) were more likely to self-discontinue treatment. Sleep deprivation prior to seizures before diagnosis (HR = 1.80, 95% CI: 1.05-3.09) and significant alcohol or illicit drug use (HR = 2.35, 95% CI: 1.20-4.59) were also associated with higher rates of discontinuation. After discontinuation, 51 patients (65%) experienced seizure recurrence, and 43 (84%) restarted treatment. Twenty two patients (28%) experienced a seizure-related injury after treatment discontinuation. SIGNIFICANCE Self-initiated discontinuation of ASM treatment was not uncommon in patients with newly treated epilepsy. Reasons for discontinuation highlight areas for improved discussion with patients, including the chronicity of epilepsy and management strategies for current or potential adverse effects.
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Affiliation(s)
- Sameer Sharma
- Department of Neurosciences, Central Clinical School, Monash University, Alfred Hospital, 99 Commercial Road, Melbourne 3004, Australia
| | - Zhibin Chen
- Department of Neurosciences, Central Clinical School, Monash University, Alfred Hospital, 99 Commercial Road, Melbourne 3004, Australia; Department of Medicine, The University of Melbourne, Royal Melbourne Hospital, 300 Grattan St, Parkville, Melbourne 3050, Australia; School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne 3004, Australia
| | - Maria Rychkova
- Department of Medicine, The University of Melbourne, Royal Melbourne Hospital, 300 Grattan St, Parkville, Melbourne 3050, Australia
| | - John Dunne
- School of Medicine, Royal Perth Hospital Unit, University of Western Australia, Victoria Square, Perth 6000, Australia; WA Adult Epilepsy Service, Hospital Avenue, Nedlands, Western Australia 6009, Australia
| | - Judy Lee
- WA Adult Epilepsy Service, Hospital Avenue, Nedlands, Western Australia 6009, Australia
| | - Nicholas Lawn
- WA Adult Epilepsy Service, Hospital Avenue, Nedlands, Western Australia 6009, Australia
| | - Patrick Kwan
- Department of Neurosciences, Central Clinical School, Monash University, Alfred Hospital, 99 Commercial Road, Melbourne 3004, Australia; Department of Medicine, The University of Melbourne, Royal Melbourne Hospital, 300 Grattan St, Parkville, Melbourne 3050, Australia; School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne 3004, Australia.
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Terman SW, Wang C, Wang L, Braun KPJ, Otte WM, Slinger G, Kerr WT, Lossius MI, Bonnett L, Burke JF, Marson A. Reappraisal of the Medical Research Council Antiepileptic Drug Withdrawal Study: contamination‐adjusted and dose‐response re‐analysis. Epilepsia 2022; 63:1724-1735. [PMID: 35490396 PMCID: PMC9283317 DOI: 10.1111/epi.17273] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/27/2022] [Accepted: 04/27/2022] [Indexed: 11/28/2022]
Abstract
Objective The 1991 Medical Research Council (MRC) Study compared seizure relapse for seizure‐free patients randomized to withdraw vs continue of antiseizure medications (ASMs). We re‐analyzed this trial to account for crossover between arms using contamination‐adjusted intention to treat (CA ITT) methods, to explore dose‐response curves, and to validate predictions against external data. ITT assesses the effect of being randomized to withdraw, as‐treated analysis assesses the confounded effect of withdrawing, but CA ITT assesses the unconfounded effect of actually withdrawing. Methods CA ITT involves two stages. First, we used randomized arm to predict whether patients withdrew their ASM (logistic) or total daily ASM dose (linear). Second, we used those values to predict seizure occurrence (logistic). Results The trial randomized 503 patients to withdraw and 501 patients to continue ASMs. We found that 316 of 376 patients (88%) who were randomized to withdraw decreased their dose at every pre‐seizure visit, compared with 35 of 424 (8%) who were randomized to continue (p < .01). Adjusted odds ratios of a 2‐year seizure for those who withdrew vs those who did not was 1.3 (95% confidence interval [CI] 0.9–1.9) in the as‐treated analysis, 2.5 (95% CI 1.9–3.4) comparing those randomized to withdraw vs continue for ITT, and 3.1 (95% CI 2.1–4.5) for CA ITT. Probabilities (withdrawal vs continue) were 28% vs 24% (as‐treated), 40% vs 22% (ITT), and 43% vs 21% (CA ITT). Differences between ITT and CA ITT were greater when varying the predictor (reaching zero ASMs) or outcome (1‐year seizures). As‐treated dose‐response curves demonstrated little to no effects, but larger effects in CA ITT analysis. MRC data overpredicted risk in Lossius data, with moderate discrimination (areas under the curve ~0.70). Significance CA ITT results (the effect of actually withdrawing ASMs on seizures) were slightly greater than ITT effects (the effect of recommend withdrawing ASMs on seizures). How these findings affect clinical practice must be individualized.
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Affiliation(s)
- Samuel W Terman
- University of Michigan Department of Neurology Ann Arbor MI 48109 USA
| | - Chang Wang
- University of Michigan School of Public Health Department of Biostatistics Ann Arbor MI 48109 USA
| | - Lu Wang
- University of Michigan School of Public Health Department of Biostatistics Ann Arbor MI 48109 USA
| | - Kees PJ Braun
- Utrecht University Department of Child Neurology University Medical Center Utrecht member of EpiCARE The Netherlands
| | - Willem M Otte
- Utrecht University Department of Child Neurology University Medical Center Utrecht member of EpiCARE The Netherlands
| | - Geertruida Slinger
- Utrecht University Department of Child Neurology University Medical Center Utrecht member of EpiCARE The Netherlands
| | - Wesley T Kerr
- University of Michigan Department of Neurology Ann Arbor MI 48109 USA
| | - Morten I Lossius
- Oslo University Hospital National Center for Epilepsy Oslo Norway
- University of Oslo Institute of Clinical Medicine
| | - Laura Bonnett
- University of Liverpool Department of Health Data Science Block B, Waterhouse Building, Brownlow Hill Liverpool L69 3GL United Kingdom
| | - James F Burke
- the Ohio State University Department of Neurology Columbus 43210
| | - Anthony Marson
- University of Liverpool Department of Pharmacology and Therapeutics Liverpool United Kingdom
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Lin LC, Chang MY, Chiu YH, Chiang CT, Wu RC, Yang RC, Ouyang CS. Prediction of seizure recurrence using electroencephalogram analysis with multiscale deep neural networks before withdrawal of antiepileptic drugs. Pediatr Neonatol 2022; 63:283-290. [PMID: 35367151 DOI: 10.1016/j.pedneo.2021.12.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 12/08/2021] [Accepted: 12/26/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The decision to continue or discontinue antiepileptic drug (AED) treatment in patients who are seizure free for a prolonged time is critical. Studies have used certain risk factors or electroencephalogram (EEG) findings to predict seizure recurrence after the withdrawal of AEDs. However, applicable biomarkers to guide the withdrawal of AEDs are lacking. METHODS In this study, we used EEG analysis based on multiscale deep neural networks (MSDNN) to establish a method for predicting seizure recurrence after the withdrawal of AEDs. A total of 60 patients with epilepsy were divided into two groups (30 in the recurrence group and 30 in the non-recurrence group). All patients were seizure free for at least 2 years. Before AED withdrawal, an EEG was performed for each patient, which showed no epileptiform discharges. These EEG recordings were classified using MSDNN. RESULTS We found that the performance indices of classification between recurrence and non-recurrence groups had a mean sensitivity, mean specificity, mean accuracy, and mean area under the receiver operating characteristic curve of 74.23%, 75.83%, 74.66%, and 82.66%, respectively. CONCLUSION Our proposed method is a promising tool to help physicians to predict seizure recurrence after AED withdrawal among seizure-free patients.
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Affiliation(s)
- Lung-Chang Lin
- Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan; Department of Pediatrics, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Ming-Yuh Chang
- Departments of Pediatrics, Changhua Christian Hospital, Changhua, Taiwan
| | - Yi-Hung Chiu
- Department of Information Engineering, I-Shou University, Kaohsiung City, Taiwan
| | - Ching-Tai Chiang
- Department of Computer and Communication, National Pingtung University, Pingtung City, Taiwan
| | - Rong-Ching Wu
- Department of Electrical Engineering, I-Shou University, Kaohsiung City, Taiwan
| | - Rei-Cheng Yang
- Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan; Department of Pediatrics, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan.
| | - Chen-Sen Ouyang
- Department of Information Engineering, I-Shou University, Kaohsiung City, Taiwan.
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Jacquot C, Tiberghien P, Hurk K, Ziman A, Shaz B, Apelseth TO, Goldman M. Blood donor eligibility criteria for medical conditions: A
BEST
collaborative study. Vox Sang 2022; 117:929-936. [DOI: 10.1111/vox.13281] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/25/2022] [Accepted: 03/27/2022] [Indexed: 12/22/2022]
Affiliation(s)
- Cyril Jacquot
- Department of Pathology and Laboratory Medicine Children's National Hospital Washington District of Columbia USA
| | - Pierre Tiberghien
- International Medical and Scientific Research Etablissement Français du Sang La Plaine Saint‐Denis France
| | - Katja Hurk
- Donor Studies, Sanquin Research Sanquin Amsterdam The Netherlands
| | - Alyssa Ziman
- Clinical and Laboratory Pathology University of California Los Angeles California USA
| | - Beth Shaz
- Department of Pathology Duke University School of Medicine Durham North Carolina USA
| | | | - Mindy Goldman
- Medical Affairs and Innovation Canadian Blood Services Ottawa Ontario Canada
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Abstract
IMPORTANCE Epilepsy affects approximately 65 million people worldwide. Persistent seizures are associated with a 20% to 40% risk of bodily injuries (eg, fractures, burns, concussions) over 12-month follow-up. The primary goal of epilepsy treatment is to eliminate seizures while minimizing adverse effects of antiseizure drugs (ASDs). OBSERVATIONS An epileptic seizure is defined as a sudden occurrence of transient signs and symptoms caused by abnormal and excessive or synchronous neuronal activity in the brain. Focal and generalized epilepsy are the 2 most frequent types of epilepsy; diagnosis is based on the type of seizures. There are 26 US Food and Drug Administration-approved medications for epilepsy, of which 24 have similar antiseizure efficacy for focal epilepsy and 9 have similar efficacy for generalized epilepsy. The decision to initiate an ASD should be individualized, but should be strongly considered after 2 unprovoked seizures or after 1 unprovoked seizure that occurred during sleep and/or in the presence of epileptiform activity on an electroencephalogram and/or in the presence of a structural lesion on the brain magnetic resonance imaging. The ASDs must be selected based on the seizure and epilepsy types, the epilepsy syndrome, and the adverse effects associated with the drug. For focal epilepsy, oxcarbazepine and lamotrigine are first-line therapy, while levetiracetam can be also considered if there is no history of psychiatric disorder. For generalized epilepsy, the selection of the ASD is based on the type of epilepsy syndrome and the patient's sex, age, and psychiatric history. Seizure freedom is achieved in approximately 60% to 70% of all patients. A total of 25% to 50% of patients also experience neurologic, psychiatric, cognitive, or medical disorders, such as mood, anxiety, and attention deficit disorders and migraines. For these patients, selecting an ASD should consider the presence of these disorders and concomitant use of medications to treat them. ASDs with cytochrome P450 enzyme-inducing properties (eg, carbamazepine, phenytoin) may worsen comorbid coronary and cerebrovascular disease by causing hyperlipidemia and accelerating the metabolism of concomitant drugs used for their treatment. They can also facilitate the development of osteopenia and osteoporosis. CONCLUSIONS AND RELEVANCE Epilepsy affects approximately 65 million people worldwide and is associated with increased rates of bodily injuries and mortality when not optimally treated. For focal and generalized epilepsy, selection of ASDs should consider the seizure and epilepsy types and epilepsy syndrome, as well as the patient's age and sex, comorbidities, and potential drug interactions.
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Affiliation(s)
- Andres M Kanner
- Comprehensive Epilepsy Center and Epilepsy Division, Department of Neurology, University of Miami, Miller School of Medicine, Miami, Florida
| | - Manuel Melo Bicchi
- Comprehensive Epilepsy Center and Epilepsy Division, Department of Neurology, University of Miami, Miller School of Medicine, Miami, Florida
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Maglietta G, Diodati F, Puntoni M, Lazzarelli S, Marcomini B, Patrizi L, Caminiti C. Prognostic Factors for Post-COVID-19 Syndrome: A Systematic Review and Meta-Analysis. J Clin Med 2022; 11:jcm11061541. [PMID: 35329867 PMCID: PMC8948827 DOI: 10.3390/jcm11061541] [Citation(s) in RCA: 80] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/03/2022] [Accepted: 03/08/2022] [Indexed: 12/13/2022] Open
Abstract
Evidence shows that a substantial proportion of patients with COVID-19 experiences long-term consequences of the disease, but the predisposing factors are poorly understood. We conducted a systematic review and meta-analysis to identify factors present during COVID-19 hospitalization associated with an increased risk of exhibiting new or persisting symptoms (Post-COVID-19 Syndrome, PCS). MedLine and WebOfScience were last searched on 30 September 2021. We included English language clinical trials and observational studies investigating prognostic factors for PCS in adults previously hospitalized for COVID-19, reporting at least one individual prospective follow-up of minimum 12 weeks. Two authors independently assessed risk of bias, which was judged generally moderate. Risk factors were included in the analysis if their association with PCS was investigated by at least two studies. To summarize the prognostic effect of each factor (or group of factors), odds ratios were estimated using raw data. Overall, 20 articles met the inclusion criteria, involving 13,340 patients. Associations were statistically significant for two factors: female sex with any symptoms (OR 1.52; 95% CI 1.27–1.82), with mental health symptoms (OR 1.67, 95% CI 1.21–2.29) and with fatigue (OR 1.54, 95% CI 1.32–1.79); acute disease severity with respiratory symptoms (OR 1.66, 95% CI 1.03–2.68). The I² statistics tests were calculated to quantify the degree of study heterogeneity. This is the first meta-analysis measuring the association between factors present during COVID-19 hospitalization and long-term sequelae. The role of female sex and acute disease severity as independent prognostic factors must be confirmed in robust longitudinal studies with longer follow-up. Identifying populations at greatest risk for PCS can enable the development of targeted prevention and management strategies. Systematic review registration: PROSPERO CRD42021253467.
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