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Miron G, Halimeh M, Jeppesen J, Loddenkemper T, Meisel C. Autonomic biosignals, seizure detection, and forecasting. Epilepsia 2024. [PMID: 38837428 DOI: 10.1111/epi.18034] [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: 03/04/2024] [Revised: 05/17/2024] [Accepted: 05/22/2024] [Indexed: 06/07/2024]
Abstract
Wearable devices have attracted significant attention in epilepsy research in recent years for their potential to enhance patient care through improved seizure monitoring and forecasting. This narrative review presents a detailed overview of the current clinical state of the art while addressing how devices that assess autonomic nervous system (ANS) function reflect seizures and central nervous system (CNS) state changes. This includes a description of the interactions between the CNS and the ANS, including physiological and epilepsy-related changes affecting their dynamics. We first discuss technical aspects of measuring autonomic biosignals and considerations for using ANS sensors in clinical practice. We then review recent seizure detection and seizure forecasting studies, highlighting their performance and capability for seizure detection and forecasting using devices measuring ANS biomarkers. Finally, we address the field's challenges and provide an outlook for future developments.
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Affiliation(s)
- Gadi Miron
- Computational Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Mustafa Halimeh
- Computational Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Jesper Jeppesen
- Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Tobias Loddenkemper
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Christian Meisel
- Computational Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
- Bernstein Center for Computational Neuroscience, Berlin, Germany
- Center for Stroke Research Berlin, Berlin, Germany
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2
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Gordeev LS, Kulbachinskaya EK, Bereznitskaya VV. Effects of Carbamazepine on Cardiovascular System: Literature Review. PEDIATRIC PHARMACOLOGY 2023. [DOI: 10.15690/pf.v19i6.2491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Carbamazepine is an anticonvulsant that is commonly used in neurological and psychiatric patients to treat epileptic seizures, neuropathic pain, or bipolar disorder. Carbamazepine side effects, as well as side effects of many antiepileptic drugs, include cardiotoxic effects such as atrioventricular block, bradycardia, and cardiac rhythm disorders. However, carbamazepine has also been reported to have antiarrhythmic, normotimic, and membrane-stabilizing effects. This results in its administration to treat arrhythmias in children. Based on literature, carbamazepine administration as anti-arrhythmic drug is known in cases where the basic therapy was ineffective. The medication is not registered anywhere in the world for this purpose. Thus, it can be administered only off-label. The aim of our literature review is to analyze and summarize the existing data on carbamazepine effects on cardiovascular system, to determine its safety as anti-arrhythmic drug, and to describe various factors fostering its side effects.
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Affiliation(s)
| | - Ekaterina K. Kulbachinskaya
- Veltischev Research and Clinical Institute for Pediatrics of the Pirogov Russian National Research Medical University
| | - Vera V. Bereznitskaya
- Veltischev Research and Clinical Institute for Pediatrics of the Pirogov Russian National Research Medical University
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Halimeh M, Yang Y, Sheehan T, Vieluf S, Jackson M, Loddenkemper T, Meisel C. Wearable device assessments of antiseizure medication effects on diurnal patterns of electrodermal activity, heart rate, and heart rate variability. Epilepsy Behav 2022; 129:108635. [PMID: 35278938 DOI: 10.1016/j.yebeh.2022.108635] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 02/04/2022] [Accepted: 02/19/2022] [Indexed: 11/03/2022]
Abstract
Patient-generated health data provide a great opportunity for more detailed ambulatory monitoring and more personalized treatments in many diseases. In epilepsy, robust diagnostics applicable to the ambulatory setting are needed as diagnosis and treatment decisions in current clinical practice are primarily reliant on patient self-reports, which are often inaccurate. Recent work using wearable devices has focused on methods to detect and forecast epileptic seizures. Whether wearable device signals may also contain information about the effect of antiseizure medications (ASMs), which may ultimately help to better monitor their efficacy, has not been evaluated yet. Here we systematically investigated the effect of ASMs on different data modalities (electrodermal activity, EDA, heart rate, HR, and heart rate variability, HRV) simultaneously recorded by a wearable device in 48 patients with epilepsy over several days in the epilepsy long-term monitoring unit at a tertiary hospital. All signals exhibited characteristic diurnal variations. HRV, but not HR or EDA-based metrics, were reduced by ASMs. By assessing multiple signals related to the autonomic nervous system simultaneously, our results provide novel insights into the effects of ASMs on the sympathetic and parasympathetic interplay in the setting of epilepsy and indicate the potential of easy-to-wear wearable devices for monitoring ASM action. Future work using longer data may investigate these metrics on multidien cycles and their utility for detecting seizures, assessing seizure risk, or informing treatment interventions.
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Affiliation(s)
- Mustafa Halimeh
- Computational Neurology, Department of Neurology, Charité - Universitätsmedizin Berlin, Germany; Berlin Institute of Health, Germany
| | - Yonghua Yang
- Hospital of Xi'an Jiaotong University, Pediatric Department, Shaanxi, China
| | | | | | | | | | - Christian Meisel
- Computational Neurology, Department of Neurology, Charité - Universitätsmedizin Berlin, Germany; Berlin Institute of Health, Germany.
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4
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Sivathamboo S, Friedman D, Laze J, Nightscales R, Chen Z, Kuhlmann L, Devore S, Macefield V, Kwan P, D'Souza W, Berkovic SF, Perucca P, O'Brien TJ, Devinsky O. Association of Short-term Heart Rate Variability and Sudden Unexpected Death in Epilepsy. Neurology 2021; 97:e2357-e2367. [PMID: 34649884 DOI: 10.1212/wnl.0000000000012946] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 09/29/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND AND OBJECTIVES We compared heart rate variability (HRV) in sudden unexpected death in epilepsy (SUDEP) cases and living epilepsy controls. METHODS This international, multicenter, retrospective, nested case-control study examined patients admitted for video-EEG monitoring (VEM) between January 1, 2003, and December 31, 2014, and subsequently died of SUDEP. Time domain and frequency domain components were extracted from 5-minute interictal ECG recordings during sleep and wakefulness from SUDEP cases and controls. RESULTS We identified 31 SUDEP cases and 56 controls. Normalized low-frequency power (LFP) during wakefulness was lower in SUDEP cases (median 42.5, interquartile range [IQR] 32.6-52.6) than epilepsy controls (55.5, IQR 40.7-68.9; p = 0.015, critical value = 0.025). In the multivariable model, normalized LFP was lower in SUDEP cases compared to controls (contrast -11.01, 95% confidence interval [CI] -20.29 to 1.73; p = 0.020, critical value = 0.025). There was a negative correlation between LFP and the latency to SUDEP, where each 1% incremental reduction in normalized LFP conferred a 2.7% decrease in the latency to SUDEP (95% CI 0.95-0.995; p = 0.017, critical value = 0.025). Increased survival duration from VEM to SUDEP was associated with higher normalized high-frequency power (HFP; p = 0.002, critical value = 0.025). The survival model with normalized LFP was associated with SUDEP (c statistic 0.66, 95% CI 0.55-0.77), which nonsignificantly increased with the addition of normalized HFP (c statistic 0.70, 95% CI 0.59-0.81; p = 0.209). CONCLUSIONS Reduced short-term LFP, which is a validated biomarker for sudden death, was associated with SUDEP. Increased HFP was associated with longer survival and may be cardioprotective in SUDEP. HRV quantification may help stratify individual SUDEP risk. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that in patients with epilepsy, some measures of HRV are associated with SUDEP.
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Affiliation(s)
- Shobi Sivathamboo
- From the Department of Neuroscience, Central Clinical School (S.S., R.N., Z.C., M.B., V.M., P.K., P.P., T.J.O.), Clinical Epidemiology, School of Public Health and Preventive Medicine (Z.C., M.B.), and Department of Data Science and AI, Faculty of Information Technology (L.K.), Monash University; Department of Medicine (The Royal Melbourne Hospital) (S.S., R.N., Z.C., M.B., P.K., P.P., T.J.O.), The University of Melbourne; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), The Royal Melbourne Hospital; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), Alfred Health, Melbourne, Australia; Department of Neurology (D.F., J.L., S.D., O.D.), New York University Grossman School of Medicine, New York; Human Autonomic Neurophysiology (V.M.), Baker Heart and Diabetes Institute, Melbourne; Department of Medicine (W.D., M.D.C.B.), St. Vincent's Hospital, The University of Melbourne, Fitzroy; and Department of Medicine (S.F.B.), Austin Health, The University of Melbourne, Heidelberg, Australia
| | - Daniel Friedman
- From the Department of Neuroscience, Central Clinical School (S.S., R.N., Z.C., M.B., V.M., P.K., P.P., T.J.O.), Clinical Epidemiology, School of Public Health and Preventive Medicine (Z.C., M.B.), and Department of Data Science and AI, Faculty of Information Technology (L.K.), Monash University; Department of Medicine (The Royal Melbourne Hospital) (S.S., R.N., Z.C., M.B., P.K., P.P., T.J.O.), The University of Melbourne; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), The Royal Melbourne Hospital; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), Alfred Health, Melbourne, Australia; Department of Neurology (D.F., J.L., S.D., O.D.), New York University Grossman School of Medicine, New York; Human Autonomic Neurophysiology (V.M.), Baker Heart and Diabetes Institute, Melbourne; Department of Medicine (W.D., M.D.C.B.), St. Vincent's Hospital, The University of Melbourne, Fitzroy; and Department of Medicine (S.F.B.), Austin Health, The University of Melbourne, Heidelberg, Australia
| | - Juliana Laze
- From the Department of Neuroscience, Central Clinical School (S.S., R.N., Z.C., M.B., V.M., P.K., P.P., T.J.O.), Clinical Epidemiology, School of Public Health and Preventive Medicine (Z.C., M.B.), and Department of Data Science and AI, Faculty of Information Technology (L.K.), Monash University; Department of Medicine (The Royal Melbourne Hospital) (S.S., R.N., Z.C., M.B., P.K., P.P., T.J.O.), The University of Melbourne; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), The Royal Melbourne Hospital; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), Alfred Health, Melbourne, Australia; Department of Neurology (D.F., J.L., S.D., O.D.), New York University Grossman School of Medicine, New York; Human Autonomic Neurophysiology (V.M.), Baker Heart and Diabetes Institute, Melbourne; Department of Medicine (W.D., M.D.C.B.), St. Vincent's Hospital, The University of Melbourne, Fitzroy; and Department of Medicine (S.F.B.), Austin Health, The University of Melbourne, Heidelberg, Australia
| | - Russell Nightscales
- From the Department of Neuroscience, Central Clinical School (S.S., R.N., Z.C., M.B., V.M., P.K., P.P., T.J.O.), Clinical Epidemiology, School of Public Health and Preventive Medicine (Z.C., M.B.), and Department of Data Science and AI, Faculty of Information Technology (L.K.), Monash University; Department of Medicine (The Royal Melbourne Hospital) (S.S., R.N., Z.C., M.B., P.K., P.P., T.J.O.), The University of Melbourne; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), The Royal Melbourne Hospital; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), Alfred Health, Melbourne, Australia; Department of Neurology (D.F., J.L., S.D., O.D.), New York University Grossman School of Medicine, New York; Human Autonomic Neurophysiology (V.M.), Baker Heart and Diabetes Institute, Melbourne; Department of Medicine (W.D., M.D.C.B.), St. Vincent's Hospital, The University of Melbourne, Fitzroy; and Department of Medicine (S.F.B.), Austin Health, The University of Melbourne, Heidelberg, Australia
| | - Zhibin Chen
- From the Department of Neuroscience, Central Clinical School (S.S., R.N., Z.C., M.B., V.M., P.K., P.P., T.J.O.), Clinical Epidemiology, School of Public Health and Preventive Medicine (Z.C., M.B.), and Department of Data Science and AI, Faculty of Information Technology (L.K.), Monash University; Department of Medicine (The Royal Melbourne Hospital) (S.S., R.N., Z.C., M.B., P.K., P.P., T.J.O.), The University of Melbourne; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), The Royal Melbourne Hospital; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), Alfred Health, Melbourne, Australia; Department of Neurology (D.F., J.L., S.D., O.D.), New York University Grossman School of Medicine, New York; Human Autonomic Neurophysiology (V.M.), Baker Heart and Diabetes Institute, Melbourne; Department of Medicine (W.D., M.D.C.B.), St. Vincent's Hospital, The University of Melbourne, Fitzroy; and Department of Medicine (S.F.B.), Austin Health, The University of Melbourne, Heidelberg, Australia
| | - Levin Kuhlmann
- From the Department of Neuroscience, Central Clinical School (S.S., R.N., Z.C., M.B., V.M., P.K., P.P., T.J.O.), Clinical Epidemiology, School of Public Health and Preventive Medicine (Z.C., M.B.), and Department of Data Science and AI, Faculty of Information Technology (L.K.), Monash University; Department of Medicine (The Royal Melbourne Hospital) (S.S., R.N., Z.C., M.B., P.K., P.P., T.J.O.), The University of Melbourne; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), The Royal Melbourne Hospital; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), Alfred Health, Melbourne, Australia; Department of Neurology (D.F., J.L., S.D., O.D.), New York University Grossman School of Medicine, New York; Human Autonomic Neurophysiology (V.M.), Baker Heart and Diabetes Institute, Melbourne; Department of Medicine (W.D., M.D.C.B.), St. Vincent's Hospital, The University of Melbourne, Fitzroy; and Department of Medicine (S.F.B.), Austin Health, The University of Melbourne, Heidelberg, Australia
| | - Sasha Devore
- From the Department of Neuroscience, Central Clinical School (S.S., R.N., Z.C., M.B., V.M., P.K., P.P., T.J.O.), Clinical Epidemiology, School of Public Health and Preventive Medicine (Z.C., M.B.), and Department of Data Science and AI, Faculty of Information Technology (L.K.), Monash University; Department of Medicine (The Royal Melbourne Hospital) (S.S., R.N., Z.C., M.B., P.K., P.P., T.J.O.), The University of Melbourne; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), The Royal Melbourne Hospital; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), Alfred Health, Melbourne, Australia; Department of Neurology (D.F., J.L., S.D., O.D.), New York University Grossman School of Medicine, New York; Human Autonomic Neurophysiology (V.M.), Baker Heart and Diabetes Institute, Melbourne; Department of Medicine (W.D., M.D.C.B.), St. Vincent's Hospital, The University of Melbourne, Fitzroy; and Department of Medicine (S.F.B.), Austin Health, The University of Melbourne, Heidelberg, Australia
| | - Vaughan Macefield
- From the Department of Neuroscience, Central Clinical School (S.S., R.N., Z.C., M.B., V.M., P.K., P.P., T.J.O.), Clinical Epidemiology, School of Public Health and Preventive Medicine (Z.C., M.B.), and Department of Data Science and AI, Faculty of Information Technology (L.K.), Monash University; Department of Medicine (The Royal Melbourne Hospital) (S.S., R.N., Z.C., M.B., P.K., P.P., T.J.O.), The University of Melbourne; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), The Royal Melbourne Hospital; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), Alfred Health, Melbourne, Australia; Department of Neurology (D.F., J.L., S.D., O.D.), New York University Grossman School of Medicine, New York; Human Autonomic Neurophysiology (V.M.), Baker Heart and Diabetes Institute, Melbourne; Department of Medicine (W.D., M.D.C.B.), St. Vincent's Hospital, The University of Melbourne, Fitzroy; and Department of Medicine (S.F.B.), Austin Health, The University of Melbourne, Heidelberg, Australia
| | - Patrick Kwan
- From the Department of Neuroscience, Central Clinical School (S.S., R.N., Z.C., M.B., V.M., P.K., P.P., T.J.O.), Clinical Epidemiology, School of Public Health and Preventive Medicine (Z.C., M.B.), and Department of Data Science and AI, Faculty of Information Technology (L.K.), Monash University; Department of Medicine (The Royal Melbourne Hospital) (S.S., R.N., Z.C., M.B., P.K., P.P., T.J.O.), The University of Melbourne; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), The Royal Melbourne Hospital; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), Alfred Health, Melbourne, Australia; Department of Neurology (D.F., J.L., S.D., O.D.), New York University Grossman School of Medicine, New York; Human Autonomic Neurophysiology (V.M.), Baker Heart and Diabetes Institute, Melbourne; Department of Medicine (W.D., M.D.C.B.), St. Vincent's Hospital, The University of Melbourne, Fitzroy; and Department of Medicine (S.F.B.), Austin Health, The University of Melbourne, Heidelberg, Australia
| | - Wendyl D'Souza
- From the Department of Neuroscience, Central Clinical School (S.S., R.N., Z.C., M.B., V.M., P.K., P.P., T.J.O.), Clinical Epidemiology, School of Public Health and Preventive Medicine (Z.C., M.B.), and Department of Data Science and AI, Faculty of Information Technology (L.K.), Monash University; Department of Medicine (The Royal Melbourne Hospital) (S.S., R.N., Z.C., M.B., P.K., P.P., T.J.O.), The University of Melbourne; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), The Royal Melbourne Hospital; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), Alfred Health, Melbourne, Australia; Department of Neurology (D.F., J.L., S.D., O.D.), New York University Grossman School of Medicine, New York; Human Autonomic Neurophysiology (V.M.), Baker Heart and Diabetes Institute, Melbourne; Department of Medicine (W.D., M.D.C.B.), St. Vincent's Hospital, The University of Melbourne, Fitzroy; and Department of Medicine (S.F.B.), Austin Health, The University of Melbourne, Heidelberg, Australia
| | - Samuel F Berkovic
- From the Department of Neuroscience, Central Clinical School (S.S., R.N., Z.C., M.B., V.M., P.K., P.P., T.J.O.), Clinical Epidemiology, School of Public Health and Preventive Medicine (Z.C., M.B.), and Department of Data Science and AI, Faculty of Information Technology (L.K.), Monash University; Department of Medicine (The Royal Melbourne Hospital) (S.S., R.N., Z.C., M.B., P.K., P.P., T.J.O.), The University of Melbourne; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), The Royal Melbourne Hospital; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), Alfred Health, Melbourne, Australia; Department of Neurology (D.F., J.L., S.D., O.D.), New York University Grossman School of Medicine, New York; Human Autonomic Neurophysiology (V.M.), Baker Heart and Diabetes Institute, Melbourne; Department of Medicine (W.D., M.D.C.B.), St. Vincent's Hospital, The University of Melbourne, Fitzroy; and Department of Medicine (S.F.B.), Austin Health, The University of Melbourne, Heidelberg, Australia
| | - Piero Perucca
- From the Department of Neuroscience, Central Clinical School (S.S., R.N., Z.C., M.B., V.M., P.K., P.P., T.J.O.), Clinical Epidemiology, School of Public Health and Preventive Medicine (Z.C., M.B.), and Department of Data Science and AI, Faculty of Information Technology (L.K.), Monash University; Department of Medicine (The Royal Melbourne Hospital) (S.S., R.N., Z.C., M.B., P.K., P.P., T.J.O.), The University of Melbourne; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), The Royal Melbourne Hospital; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), Alfred Health, Melbourne, Australia; Department of Neurology (D.F., J.L., S.D., O.D.), New York University Grossman School of Medicine, New York; Human Autonomic Neurophysiology (V.M.), Baker Heart and Diabetes Institute, Melbourne; Department of Medicine (W.D., M.D.C.B.), St. Vincent's Hospital, The University of Melbourne, Fitzroy; and Department of Medicine (S.F.B.), Austin Health, The University of Melbourne, Heidelberg, Australia
| | - Terence J O'Brien
- From the Department of Neuroscience, Central Clinical School (S.S., R.N., Z.C., M.B., V.M., P.K., P.P., T.J.O.), Clinical Epidemiology, School of Public Health and Preventive Medicine (Z.C., M.B.), and Department of Data Science and AI, Faculty of Information Technology (L.K.), Monash University; Department of Medicine (The Royal Melbourne Hospital) (S.S., R.N., Z.C., M.B., P.K., P.P., T.J.O.), The University of Melbourne; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), The Royal Melbourne Hospital; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), Alfred Health, Melbourne, Australia; Department of Neurology (D.F., J.L., S.D., O.D.), New York University Grossman School of Medicine, New York; Human Autonomic Neurophysiology (V.M.), Baker Heart and Diabetes Institute, Melbourne; Department of Medicine (W.D., M.D.C.B.), St. Vincent's Hospital, The University of Melbourne, Fitzroy; and Department of Medicine (S.F.B.), Austin Health, The University of Melbourne, Heidelberg, Australia
| | - Orrin Devinsky
- From the Department of Neuroscience, Central Clinical School (S.S., R.N., Z.C., M.B., V.M., P.K., P.P., T.J.O.), Clinical Epidemiology, School of Public Health and Preventive Medicine (Z.C., M.B.), and Department of Data Science and AI, Faculty of Information Technology (L.K.), Monash University; Department of Medicine (The Royal Melbourne Hospital) (S.S., R.N., Z.C., M.B., P.K., P.P., T.J.O.), The University of Melbourne; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), The Royal Melbourne Hospital; Department of Neurology (S.S., R.N., P.K., P.P., T.J.O.), Alfred Health, Melbourne, Australia; Department of Neurology (D.F., J.L., S.D., O.D.), New York University Grossman School of Medicine, New York; Human Autonomic Neurophysiology (V.M.), Baker Heart and Diabetes Institute, Melbourne; Department of Medicine (W.D., M.D.C.B.), St. Vincent's Hospital, The University of Melbourne, Fitzroy; and Department of Medicine (S.F.B.), Austin Health, The University of Melbourne, Heidelberg, Australia.
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Zeng C, Meng H, Zhu Y, Yao L, Lian Y, Zhu Y, Zhang M, Dai Y, Wang K, Han X, Li L, Zhang L, Xu H, Yao D, Luo X, Jiang W, Wang X, Zhao C, Chen Y, Deng X, Liu C, Feng L, Song Y, Wu Y, Liao W, Wang F, Zhu S, Xiao B, Wang Q, Long L. Correlation of Seizure Increase and COVID-19 Outbreak in Adult Patients with Epilepsy: Findings and Suggestions from a Nationwide Multi-centre Survey in China. Seizure 2021; 88:102-108. [PMID: 33839561 PMCID: PMC9056154 DOI: 10.1016/j.seizure.2021.03.029] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 02/22/2021] [Accepted: 03/27/2021] [Indexed: 11/01/2022] Open
Abstract
OBJECTIVES To investigate the impact of the COVID-19 outbreak on the behaviours, mental health and seizure control of adult patients with epilepsy (PWE) and to identify the correlation of seizure increase and the COVID-19 outbreak to guide the medical care of individuals with epilepsy during a public health crisis. METHODS This study was conducted at 28 centres from February 2020 to April 2020. Participants filled out a 62-item online survey including sociodemographic, COVID-19-related, epilepsy-related and psychological variables and were divided into two groups based on whether their seizure frequency increased during the COVID-19 pandemic. Chi-square tests and t-tests were used to test differences in significant characteristics. Multiple logistic regression analyses were used to identify risk factors for seizure worsening. RESULTS A total of 1,237 adult PWE were enrolled for analysis. Of this sample, 31 (8.33%) patients experienced an increase in seizures during the pandemic. Multivariate logistic regression suggested that feeling nervous about the pandemic (P < 0.05), poor quality of life (P = 0.001), drug reduction/withdrawal (P = 0.032), moderate anxiety during the COVID-19 outbreak (P = 0.046) and non-seizure free before the COVID-19 outbreak (P < 0.05) were independently related to seizure increase during the pandemic. CONCLUSIONS During the COVID-19 pandemic, PWE with poor quality of life and mental status, as well as AED reduction/withdrawal, were more likely to experience seizure increase. This observation highlights the importance of early identification of the population at high risk of seizure worsening and implementation of preventive strategies during the pandemic.
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Affiliation(s)
- Chang Zeng
- Health Management Center, Xiangya Hospital, Central South University, Changsha, China
| | - Hongmei Meng
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Yulan Zhu
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Lifen Yao
- Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yajun Lian
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanmei Zhu
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Min Zhang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yuwei Dai
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Kang Wang
- Department of Neurology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xiong Han
- Department of Neurology, Henan Provincial People's Hospital, Zhengzhou, China
| | - Ling Li
- Department of Neurology, Qilu Hospital of Shandong University, Jinan, China
| | - Lifang Zhang
- Department of Neurology, Changzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi, China
| | - Huiqing Xu
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Dongai Yao
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xinmin Luo
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wen Jiang
- Department of Neurology, Xijing Hospital, Air Force Military Medical University, Xi'an, China
| | - Xiahong Wang
- Department of Neurology, Zhengzhou Second Hospital, Zhengzhou, China
| | - Chuansheng Zhao
- Department of Neurology, The First Hospital of China Medical University, Shenyang, China
| | - Yangmei Chen
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xuejun Deng
- Department of Neurology, Union Hospital Affiliated with Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Chaorong Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Li Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yanmin Song
- Department of Emergency, Xiangya Hospital, Central South University, Changsha, China
| | - Yuan Wu
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Weiping Liao
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Institute, Department of Neurology of The Second Affiliated Hospital of Guangzhou Medical University, of Neuroscience, Province and the Ministry of Education of China, Guangzhou, China
| | - Furong Wang
- Department of Neurology, Tongji Hospital Affiliated with Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Suiqiang Zhu
- Department of Neurology, Tongji Hospital Affiliated with Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Bo Xiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - Lili Long
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.
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Abstract
PURPOSE OF REVIEW Epilepsy is associated with autonomic dysfunction. Here, we provide an up-to-date review on measures of interictal autonomic function, focusing on heart rate variability (HRV), baroreflex sensitivity (BRS) and electrodermal activity (EDA). RECENT FINDINGS Resting HRV, BRS and EDA are altered in patients with epilepsy compared with healthy controls. A larger body of work is available for HRV compared with BRS and EDA, and points to interictal HRV derangements across a wide range of epilepsies, including focal, generalized, and combined generalized and focal epilepsies. HRV alterations are most pronounced in temporal lobe epilepsy, Dravet syndrome and drug-resistant and chronic epilepsies. There are conflicting data on the effect of antiseizure medications on measures of interictal autonomic function. However, carbamazepine has been associated with decreased HRV. Epilepsy surgery and vagus nerve stimulation do not appear to have substantial impact on measures of interictal autonomic function but well designed studies are lacking. SUMMARY Patients with epilepsy, particularly those with longstanding uncontrolled seizures, have measurable alterations of resting autonomic function. These alterations may be relevant to the increased risk of premature mortality in epilepsy, including sudden unexpected death in epilepsy, which warrants investigation in future research.
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Constantinescu V, Matei D, Constantinescu I, Cuciureanu DI. Heart Rate Variability and Vagus Nerve Stimulation in Epilepsy Patients. Transl Neurosci 2019; 10:223-232. [PMID: 31497318 PMCID: PMC6708288 DOI: 10.1515/tnsci-2019-0036] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 07/23/2019] [Indexed: 01/01/2023] Open
Abstract
Background Vagus nerve stimulation (VNS) exerts a cortical modulating effect through its diffuse projections, especially involving cerebral structures related to autonomic regulation. The influence of VNS on cardiovascular autonomic function in drug-resistant epilepsy patients is still debated. We aimed to evaluate the impact of VNS on cardiovascular autonomic function in drug-resistant epilepsy patients, after three months of neurostimulation, using the heart rate variability (HRV) analysis. Methodology Multiple Trigonometric Regressive Spectral analysis enables a precise assessment of the autonomic control on the heart rate. We evaluated time and frequency-domain HRV parameters in resting condition and during sympathetic and parasympathetic activation tests in five epilepsy patients who underwent VNS procedure. Results We found appropriate cardiac autonomic responses to sympathetic and parasympathetic activation tests, described by RMSSD, pNN50, HF and LF/HF dynamics after three months of VNS. ON period of the neurostimulation may generate a transient vagal activation reflected on heart rate and RMSSD values, as observed in one of our cases. Conclusion VNS therapy in epilepsy patients seems not to disrupt the cardiac autonomic function. HRV represents a useful tool in evaluating autonomic activity. More extensive studies are needed to further explore cardiac autonomic response after neurostimulation.
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Affiliation(s)
- Victor Constantinescu
- Neurology Department, Faculty of Medicine, University of Medicine and Pharmacy Iasi, Iasi Romania
| | - Daniela Matei
- Department of Biomedical Sciences, Faculty of Medical Bioengineering, University of Medicine and Pharmacy Iasi, Iasi Romania
| | | | - Dan Iulian Cuciureanu
- Neurology Department, Faculty of Medicine, University of Medicine and Pharmacy Iasi, Iasi Romania
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Delliaux S, Delaforge A, Deharo JC, Chaumet G. Mental Workload Alters Heart Rate Variability, Lowering Non-linear Dynamics. Front Physiol 2019; 10:565. [PMID: 31156454 PMCID: PMC6528181 DOI: 10.3389/fphys.2019.00565] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 04/24/2019] [Indexed: 01/06/2023] Open
Abstract
Mental workload is known to alter cardiovascular function leading to increased cardiovascular risk. Nevertheless, there is no clear autonomic nervous system unbalance to be quantified during mental stress. We aimed to characterize the mental workload impact on the cardiovascular function with a focus on heart rate variability (HRV) non-linear indexes. A 1-h computerized switching task (letter recognition) was performed by 24 subjects while monitoring their performance (accuracy, response time), electrocardiogram and blood pressure waveform (finger volume clamp method). The HRV was evaluated from the beat-to-beat RR intervals (RRI) in time-, frequency-, and informational- domains, before (Control) and during the task. The task induced a significant mental workload (visual analog scale of fatigue from 27 ± 26 to 50 ± 31 mm, p < 0.001, and NASA-TLX score of 56 ± 17). The heart rate, blood pressure and baroreflex function were unchanged, whereas most of the HRV parameters markedly decreased. The maximum decrease occurred during the first 15 min of the task (P1), before starting to return to the baseline values reached at the end of the task (P4). The RRI dimension correlation (D2) decrease was the most significant (P1 vs. Control: 1.42 ± 0.85 vs. 2.21 ± 0.8, p < 0.001) and only D2 lasted until the task ended (P4 vs. Control: 1.96 ± 0.9 vs. 2.21 ± 0.9, p < 0.05). D2 was identified as the most robust cardiovascular variable impacted by the mental workload as determined by posterior predictive simulations (p = 0.9). The Spearman correlation matrix highlighted that D2 could be a marker of the generated frustration (R = -0.61, p < 0.01) induced by a mental task, as well as the myocardial oxygen consumption changes assessed by the double product (R = -0.53, p < 0.05). In conclusion, we showed that mental workload sharply lowered the non-linear RRI dynamics, particularly the RRI correlation dimension.
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Affiliation(s)
- Stéphane Delliaux
- Aix Marseille Univ, INSERM, INRA, C2VN, Marseille, France
- Pôle Cardio-Vasculaire et Thoracique, Service des Explorations Fonctionnelles Respiratoires, AP-HM, Hôpital Nord, Marseille, France
| | - Alexis Delaforge
- Service de Médecine et Santé au Travail, AP-HM, Hôpital de la Timone, Marseille, France
| | - Jean-Claude Deharo
- Aix Marseille Univ, INSERM, INRA, C2VN, Marseille, France
- Pôle Cardio-Vasculaire et Thoracique, Service de Cardiologie, AP-HM, Hôpital de la Timone, Marseille, France
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Subjective and physiological response to emotions in temporal lobe epilepsy and psychogenic non-epileptic seizures. J Affect Disord 2019; 244:46-53. [PMID: 30312840 DOI: 10.1016/j.jad.2018.10.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 08/27/2018] [Accepted: 10/04/2018] [Indexed: 11/20/2022]
Abstract
BACKGROUND Temporal lobe epilepsy (TLE) and psychogenic non-epileptic seizures (PNES) are conditions frequently associated with dysfunction in emotional regulation leading to increased risk of affective disorders. This study investigates emotional processing with an objective measure of emotional reactivity in patients with TLE and patients with PNES. METHODS 34 patients with TLE and 14 patients with PNES were evaluated on skin conductance responses (SCR) to emotions induced by short films and compared to 34 healthy controls. An attention and a suppression condition were performed while viewing the films. RESULTS The both groups of patients disclosed lower SCR to emotions compared to controls, mainly in suppression condition. While TLE patients had lower SCR in attention condition than controls for fear, sadness and happiness, PNES had lower SCR only for happiness. In suppression condition, both had lower SCR than controls except for peacefulness in both groups and sadness in PNES. Subjective evaluations revealed that both patient's groups scored a higher intensity for sadness than controls in attention and lower for in fear and disgust in suppression only in TLE. LIMITATIONS The sample size in the PNES group and the lack of a control group with similar levels of mood symptoms limited the interpretation of our results. CONCLUSION As no correlation were found between SCR to emotions and scores of affective disorders, this pattern of responses might be underpinned by specific pathophysiological and cognitive mechanisms related to TLE and to PNES. Thus, therapeutic approaches targeting emotional autonomic responses can be of interest in the management of these conditions.
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Myers KA, Sivathamboo S, Perucca P. Heart rate variability measurement in epilepsy: How can we move from research to clinical practice? Epilepsia 2018; 59:2169-2178. [PMID: 30345509 DOI: 10.1111/epi.14587] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Revised: 09/07/2018] [Accepted: 09/27/2018] [Indexed: 11/26/2022]
Abstract
Our objective was to critically evaluate the literature surrounding heart rate variability (HRV) in people with epilepsy and to make recommendations as to how future research could be directed to facilitate and accelerate integration into clinical practice. We reviewed relevant HRV publications including those involving human subjects with seizures. HRV has been studied in patients with epilepsy for more than 30 years and, overall, patients with epilepsy display altered interictal HRV, suggesting a shift in autonomic balance toward sympathetic dominance. This derangement appears more severe in those with temporal lobe epilepsy and drug-resistant epilepsy. Normal diurnal variation in HRV is also disturbed in at least some people with epilepsy, but this aspect has received less study. Some therapeutic interventions, including vagus nerve stimulation and antiepileptic medications, may partially normalize altered HRV, but studies in this area are sometimes contradictory. During seizures, the changes in HRV may be complex, but the general trend is toward a further increase in sympathetic overactivity. Research in HRV in people with epilepsy has been limited by inconsistent experimental protocols and studies that are often underpowered. HRV measurement has the potential to aid clinical epilepsy management in several possible ways. HRV may be useful in predicting which patients are likely to benefit from surgical interventions such as vagus nerve stimulation and focal cerebral resection. As well, HRV could eventually have utility as a biomarker of risk for sudden unexpected death in epilepsy (SUDEP). However, at present, the inconsistent measurement protocols used in research are hindering translation into clinical practice. A minimum protocol for HRV evaluation, to be used in all studies involving epilepsy patients, is necessary to eventually allow HRV to become a useful tool for clinicians. We propose a straightforward protocol, involving 5-minute measurements of root mean square of successive differences in wakefulness and light sleep.
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Affiliation(s)
- Kenneth A Myers
- Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.,Division of Child Neurology, Department of Pediatrics, Montreal Children's Hospital, McGill University Health Centre, Montreal, Quebec, Canada
| | - Shobi Sivathamboo
- Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia.,Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia.,Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.,Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
| | - Piero Perucca
- Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia.,Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia.,Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.,Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
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11
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Park KJ, Sharma G, Kennedy JD, Seyal M. Potentially high-risk cardiac arrhythmias with focal to bilateral tonic-clonic seizures and generalized tonic-clonic seizures are associated with the duration of periictal hypoxemia. Epilepsia 2017; 58:2164-2171. [PMID: 29105057 DOI: 10.1111/epi.13934] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2017] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To investigate potentially high-risk cardiac arrhythmias (PHAs) following focal to bilateral tonic-clonic seizures (FBTCSs) and generalized tonic-clonic seizures (GTCSs) and to study the association of PHAs with seizure characteristics and the severity of associated ictal respiratory dysfunction. METHODS Electrocardiographic (EKG) and pulse oximetry (SpO2 ) data were recorded concurrently with video-electroencephalographic telemetry in the epilepsy monitoring unit (EMU). One minute of preictal EKG, the ictal EKG, and 2 min of ictal/postictal data were reviewed for each seizure. Nonsustained ventricular tachycardia, bradyarrhythmia, and/or sinus pauses were considered as PHAs. FBTCSs/GTCSs with PHAs were compared to those that had only ictal sinus tachycardia. RESULTS Data from 69 patients with 182 FBTCSs/GTCSs with usable SpO2 and EKG recordings were available. There were 10 FBTCSs/GTCSs in 10 patients with a PHA. The presence of PHAs was not associated with seizure duration or SpO2 nadir. FBTCSs/GTCSs with a PHA were significantly associated with the duration of oxygen desaturation < 90% when compared with FBTCSs/GTCSs with only sinus tachycardia (Mann-Whitney, p = 0.042). Desaturation duration of <100 s was not significantly associated with occurrence of PHAs (p = 0.110) when compared with seizures that had only sinus tachycardia. The odds ratio for occurrence of PHA was 7.86 for desaturation durations ≥ 125 s versus desaturations < 125 s (p = 0.005). The odds ratio increased to 13.09 for desaturation durations ≥ 150 s (p < 0.001). Preictal and ictal/postictal arrhythmias occurred with focal seizures that did not progress to FBTCSs. Four patients with focal seizures had ictal/postictal PHAs without preictal PHAs. Two of these patients had evidence for prior cardiac disturbance. SIGNIFICANCE PHAs following a single FBTCS/GTCS in the EMU are significantly associated with the duration of ictal/postictal hypoxemia. It is possible that FBTCS/GTCS-associated hypoxemia may trigger fatal cardiac arrhythmias in a subset of susceptible patients dying of sudden unexpected death in epilepsy.
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Affiliation(s)
- Katherine J Park
- Department of Neurology, University of California, Davis, Sacramento, California, , U.S.A
| | - Gaurav Sharma
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of California, Davis, Sacramento, California, U.S.A
| | - Jeffrey D Kennedy
- Department of Neurology, University of California, Davis, Sacramento, California, , U.S.A
| | - Masud Seyal
- Department of Neurology, University of California, Davis, Sacramento, California, , U.S.A
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Liu H, Yang Z, Meng F, Guan Y, Ma Y, Liang S, Lin J, Pan L, Zhao M, Qu W, Hao H, Luan G, Zhang J, Li L. Impairment of heart rhythm complexity in patients with drug-resistant epilepsy: An assessment with multiscale entropy analysis. Epilepsy Res 2017; 138:11-17. [PMID: 29031213 DOI: 10.1016/j.eplepsyres.2017.10.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2017] [Revised: 08/23/2017] [Accepted: 10/01/2017] [Indexed: 10/18/2022]
Abstract
OBJECTIVE Epilepsy and seizures can have dramatic effects on the cardiac function. The aim of this study was to investigate the heart rhythm complexity in patients with drug-resistant epilepsy (DRE). METHODS Ambulatory 24-h electrocardiograms (ECG) from 70 DRE patients and 50 healthy control subjects were analyzed using conventional heart rate variability (HRV) and multiscale entropy (MSE) methods The variation of complexity indices (CI), which was calculated from MSE profile, was determined. RESULTS DRE patients had significantly lower time domain (Mean RR, SDNN, RMSSD, pNN50) and frequency domain (VLF, LF, HF, TP) HRV measurements than healthy controls. Of the MSE analysis, MSE profile, CI including Slope 5, Area 1-5, Area 6-15 and Area 6-20 were significantly lower than those in the healthy control group. In receiver operating characteristic (ROC) curve analysis, VLF had the greatest discriminatory power for the two groups. In both net reclassification improvement (NRI) model and integrated discrimination improvement (IDI) models, CI derived from MSE profiles significantly improved the discriminatory power of Mean RR, SDNN, RMSSD, pNN50, VLF, LF, HF and TP. SIGNIFICANCE The heart rate complexity is impaired for DRE patients. CI are useful to discriminate DRE patients from subjects with normal cardiac complexity. These findings indicate that MSE method may serve as a complementary approach for characterizing and understanding abnormal heart rate dynamics in epilepsy. Furthermore, the CI may potentially be used as a biomarker in monitoring epilepsy.
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Affiliation(s)
- Hongyun Liu
- National Engineering Laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, 100084 Beijing, China; Department of Biomedical Engineering, Chinese PLA General Hospital, Fuxing Road, 100853 Beijing, China
| | - Zhao Yang
- National Engineering Laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, 100084 Beijing, China
| | - Fangang Meng
- Beijing Neurosurgical Institute, 100050, Beijing, China; Neurosurgery, Beijing Tian Tan Hospital Capital Medical University, 100050, Beijing, China
| | - Yuguang Guan
- Neurosurgery, Sanbo Brain Hospital Capital Medical University, 100093, Beijing, China
| | - Yanshan Ma
- Neurosurgery, Peking University First Hospital FengTai Hospital, 100071, Beijing, China
| | - Shuli Liang
- Department of Biomedical Engineering, Chinese PLA General Hospital, Fuxing Road, 100853 Beijing, China
| | - Jiuluan Lin
- Neurosurgery, TsingHua University YuQuan Hospital, 100040, Beijing, China
| | - Longsheng Pan
- Department of Biomedical Engineering, Chinese PLA General Hospital, Fuxing Road, 100853 Beijing, China
| | - Mingming Zhao
- Neurosurgery, Navy General Hospital, 100048, Beijing, China
| | - Wei Qu
- National Engineering Laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, 100084 Beijing, China
| | - Hongwei Hao
- National Engineering Laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, 100084 Beijing, China
| | - Guoming Luan
- Neurosurgery, Sanbo Brain Hospital Capital Medical University, 100093, Beijing, China
| | - Jianguo Zhang
- Neurosurgery, Beijing Tian Tan Hospital Capital Medical University, 100050, Beijing, China
| | - Luming Li
- National Engineering Laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, 100084 Beijing, China; Man-Machine-Environment Engineering Institute, School of Aerospace Engineering, Tsinghua University, 100084 Beijing, China; Precision Medicine & Healthcare Research Center, Tsinghua-Berkeley Shenzhen Institute, 518055, Shenzhen, China; Center of Epilepsy, Beijing Institute for Brain Disorders, 100069, Beijing, China.
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Lack of heart rate variability during sleep-related apnea in patients with temporal lobe epilepsy (TLE)—an indirect marker of SUDEP? Sleep Breath 2017; 21:163-172. [DOI: 10.1007/s11325-016-1453-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Revised: 11/23/2016] [Accepted: 12/28/2016] [Indexed: 01/10/2023]
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El-Rashidy OF, Shatla RH, Youssef OI, Samir E. Cardiac autonomic balance in children with epilepsy: value of antiepileptic drugs. Pediatr Neurol 2015; 52:419-23. [PMID: 25660213 DOI: 10.1016/j.pediatrneurol.2014.11.018] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2014] [Revised: 11/26/2014] [Accepted: 11/28/2014] [Indexed: 10/24/2022]
Abstract
BACKGROUND Dysfunction of the autonomous nervous system causes arrhythmias and, although previous studies have investigated the effects of epilepsy on the autonomic control of the heart, there is still uncertainty about whether imbalance of sympathetic, vagal, or both systems occurs in epilepsy as well as the effect of anticonvulsants on the autonomic system. AIM To evaluate cardiac autonomic status in children with epilepsy on antiepileptic drugs. PATIENTS AND METHODS Sixty patients with epilepsy were recruited from the Outpatient Neurology Clinic at Ain Shams University and were divided into the following groups: group I, drug naive; and group II, patients with epilepsy on regular antiepileptic drugs. The second group was further subdivided into the following groups: group IIa, received monotherapy; and group IIb, received polytherapy. Forty age- and sex-matched healthy children served as controls. Included patients underwent videorecorded electroencephalograph, Holter electrocardiogram (EKG) for time and frequency domains of heart rate variability, and standard EKG recording for QTc, QTd. RESULTS Mean values of all time domain, total power, and high-frequency power were significantly lower, whereas low-frequency and low-frequency/high-frequency power, QTc. and QTd were significantly higher in group I compared with group II and in patients compared with controls. No significant difference was found between patients on different antiepileptic drug regimens regarding heart rate variability values. A significant negative correlation was found between Chalfont severity score and 50% of difference between adjacent, normal RR intervals in patient groups. CONCLUSIONS Children with epilepsy have cardiac autonomic dysfunction evident in their heart rate variability assessment. Patients on antiepileptic drugs had better autonomic balance than those not on antiepileptic drugs. Holter and EKG follow-up should be considered for early detection in those at high-risk cardiac complications.
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Affiliation(s)
| | - Rania Hamed Shatla
- Department of Pediatrics, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
| | | | - Eman Samir
- Department of Pediatrics, Faculty of Medicine, Ain Shams University, Cairo, Egypt
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Moghimi N, Lhatoo SD. Sudden Unexpected Death in Epilepsy or Voodoo Heart: Analysis of Heart/Brain Connections. Curr Cardiol Rep 2013; 15:424. [DOI: 10.1007/s11886-013-0424-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Stefani M, Arima H, Mohamed A. Withdrawal of anti-epileptic medications during video EEG monitoring does not alter ECG parameters or HRV. Epilepsy Res 2013; 106:222-9. [DOI: 10.1016/j.eplepsyres.2013.04.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2012] [Revised: 03/18/2013] [Accepted: 04/04/2013] [Indexed: 01/17/2023]
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Abstract
Among people with epilepsy, there is a 20-fold higher risk of dying suddenly and unexpectedly compared with the general population. This phenomenon is called sudden unexpected death in epilepsy (SUDEP) and the term is used when sudden death occurs in an otherwise reasonably healthy person with epilepsy and the autopsy is unrevealing. In most cases, SUDEP occurs during sleep and is unwitnessed. Risk factors for SUDEP include the presence or number of generalized tonic-clonic seizures (GTCS), nocturnal seizures, young age at epilepsy onset, longer duration of epilepsy, dementia, absence of cerebrovascular disease, asthma, male gender, symptomatic aetiology of epilepsy and alcohol abuse. Suggested factors predisposing to SUDEP have included long-QT-related mutations, impaired serotonergic brain stem control of respiration, altered autonomic control and seizures with a pronounced postictal suppression and respiratory compromise. Final events that may lead up to SUDEP are a postictal CNS shutdown with pronounced EEG suppression, ictal or postictal apnoea, and ictal cardiac arrhythmia. It is unknown whether antiepileptic drugs (AEDs) modify the risk for SUDEP. Studies have consistently found that the presence or number of GTCS is associated with an increased risk for SUDEP. Since continued presence of GTCS clearly necessitates the use of AEDs, both factors must be taken into account to determine whether one or both increases the risk for SUDEP. Some studies suggest that AEDs, such as lamotrigine and carbamazepine, may increase the risk of SUDEP, but rarely adjust for GTCS. Other studies, which have found that AEDs are associated with a decreased SUDEP risk, either adjust for the number of GTCS or are meta-analyses of randomized clinical trials. Studies assessing the impact of AEDs on the risk for SUDEP are limited because SUDEP is a rare event, making randomized clinical trials impossible to conduct. Observational studies focus on whether or not an AED was prescribed. When postmortem AED concentrations are assessed they are usually low or absent, perhaps due to sampling in deceased individuals, making it difficult to fully resolve whether AEDs increase or decrease SUDEP risk. Despite these caveats, the evidence suggests that AEDs are not associated with an increased risk for SUDEP on a population level, although some individuals may be susceptible to effects of AEDs. Recent evidence from a meta-analysis of randomized clinical trials of adjunctive AEDs at efficacious doses provides strong support for AED treatment as mono- or polytherapy to increase seizure control and protect against SUDEP in patients with refractory epilepsy. For patients for whom seizure control is unattainable, supervision or monitoring may prevent SUDEP, though this has never been formally tested.
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Affiliation(s)
- Dale C Hesdorffer
- Gertrude H. Sergievsky Center and Department of Epidemiology, Columbia University, 630 West 168th Street, P & S Unit 16, New York, NY, USA.
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Lotufo PA, Valiengo L, Benseñor IM, Brunoni AR. A systematic review and meta-analysis of heart rate variability in epilepsy and antiepileptic drugs. Epilepsia 2012; 53:272-82. [PMID: 22221253 DOI: 10.1111/j.1528-1167.2011.03361.x] [Citation(s) in RCA: 203] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
PURPOSE Epilepsy is associated with near-fatal and fatal arrhythmias, and sudden unexpected death in epilepsy (SUDEP) is partly related to cardiac events. Dysfunction of the autonomous nervous system causes arrhythmias and, although previous studies have investigated the effects of epilepsy on the autonomic control of the heart, the results are still mixed regarding whether imbalance of sympathetic, vagal, or both systems is present in epilepsy, and also the importance of anticonvulsant treatment on the autonomic system. Therefore, we aimed to investigate epilepsy and its treatment impact on heart rate variability (HRV), assessed by sympathetic and parasympathetic activity expressed as low-frequency (LF) and high-frequency (HF) power spectrum, respectively. METHOD We performed a systematic review from the first date available to July 2011 in Medline and other databases; key search terms were "epilepsy"; "anticonvulsants"; "heart rate variability"; "vagal"; and "autonomous nervous system." Original studies that reported data and/or statistics of at least one HRV value were included, with data being extracted by two independent authors. We used a random-effects model with Hedges's g as the measurement of effect size to perform two main meta-analyses comparing LF and HF HRV values in (1) epilepsy patients versus controls; (2) patients receiving versus not receiving treatment; and (3) well-controlled versus refractory patients. Secondary analyses assessed other time- and frequency-domain measurements (nonlinear methods were not analyzed due to lack of sufficient data sets). Quality assessment of each study was verified and also meta-analytic techniques to identify and control bias. Meta-regression for age and gender was performed. KEY FINDINGS Initially, 366 references were identified. According to our eligibility criteria, 30 references (39 studies) were included in our analysis. Regarding HF, epilepsy patients presented lower values (g -0.69) than controls, with the 95% confidence interval (CI) ranging from -1.05 to -0.33. No significant differences were observed for LF (g -0.18; 95% CI -0.71 to 0.35). Patients receiving treatment presented HF values to those not receiving treatment (g -0.05; 95% CI -0.37 to 0.27), with a trend for having higher LF values (g 0.1; 95% CI -0.13 to 0.33), which was more pronounced in those receiving antiepileptic drugs (vs. vagus nerve stimulation). No differences were observed for well-controlled versus refractory patients, possibly due to the low number of studies. Regression for age and gender did not influence the results. Finally, secondary time-domain analyses also showed lower HRV and lower vagal activity in patients with epilepsy, as shown by the standard deviation of normal-to-normal interval (SDNN) and the root mean square of successive differences (RMSSD) indexes, respectively. SIGNIFICANCE We confirmed and extended the hypothesis of sympathovagal imbalance in epilepsy, as showed by lower HF, SDNN, and RMSSD values when compared to controls. In addition, there was a trend for higher LF values in patients receiving pharmacotherapy. As lower vagal (HF) and higher sympathetic (LF) tone are predictors of morbidity and mortality in cardiovascular samples, our findings highlight the importance of investigating autonomic function in patients with epilepsy in clinical practice. Assessing HRV might also be useful when planning therapeutic interventions, as some antiepileptic drugs can show hazardous effects in cardiac excitability, potentially leading to cardiac arrhythmia.
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Affiliation(s)
- Paulo A Lotufo
- Clinical Research Center, University Hospital, University of São Paulo, São Paulo, Brazil
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Nobili L, Proserpio P, Rubboli G, Montano N, Didato G, Tassinari CA. Sudden unexpected death in epilepsy (SUDEP) and sleep. Sleep Med Rev 2011; 15:237-46. [DOI: 10.1016/j.smrv.2010.07.006] [Citation(s) in RCA: 98] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2009] [Revised: 07/12/2010] [Accepted: 07/16/2010] [Indexed: 11/30/2022]
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Evaluation of Heart Rate Variation Analysis during Rest and Tilting in Patients with Temporal Lobe Epilepsy. Neurol Res Int 2011; 2011:829365. [PMID: 21789280 PMCID: PMC3140779 DOI: 10.1155/2011/829365] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2010] [Revised: 03/15/2011] [Accepted: 05/24/2011] [Indexed: 11/17/2022] Open
Abstract
Objective. To evaluate spectral heart rate (HR) variation using short-term ECG recordings at rest and during the tilt table test. Methods. The values of spectral components of total power (TP), high-frequency power (HF), low-frequency power (LF) and LF: HF ratio were measured at rest and during the head-up tilt in patients with temporal lobe epilepsy (TLE) and their control subjects. Results. Compared to the control subjects, patients with TLE had lower HF (P < 0.05) and LF : HF ratio (P < 0.05) at rest and lower TP (P < 0.001), HF (P < 0.05), and LF (P < 0.05) during the head-up tilt. Upon changing from supine to standing position TP (P < 0.05) and LF (P < 0.05) were attenuated in patients with TLE compared to the control subjects. Conclusion. These results suggest that spectral analysis of HR variation from ECG recordings of short duration may add value to assessment of autonomic nervous system function using autonomic cardiac tests in patients with TLE.
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Mukherjee S, Yadav R, Yung I, Zajdel DP, Oken BS. Sensitivity to mental effort and test-retest reliability of heart rate variability measures in healthy seniors. Clin Neurophysiol 2011; 122:2059-66. [PMID: 21459665 DOI: 10.1016/j.clinph.2011.02.032] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2010] [Revised: 02/08/2011] [Accepted: 02/20/2011] [Indexed: 01/10/2023]
Abstract
OBJECTIVES To determine (1) whether heart rate variability (HRV) was a sensitive and reliable measure in mental effort tasks carried out by healthy seniors and (2) whether non-linear approaches to HRV analysis, in addition to traditional time and frequency domain approaches were useful to study such effects. METHODS Forty healthy seniors performed two visual working memory tasks requiring different levels of mental effort, while ECG was recorded. They underwent the same tasks and recordings 2 weeks later. Traditional and 13 non-linear indices of HRV including Poincaré, entropy and detrended fluctuation analysis (DFA) were determined. RESULTS Time domain, especially mean R-R interval (RRI), frequency domain and, among non-linear parameters - Poincaré and DFA were the most reliable indices. Mean RRI, time domain and Poincaré were also the most sensitive to different mental effort task loads and had the largest effect size. CONCLUSIONS Overall, linear measures were the most sensitive and reliable indices to mental effort. In non-linear measures, Poincaré was the most reliable and sensitive, suggesting possible usefulness as an independent marker in cognitive function tasks in healthy seniors. SIGNIFICANCE A large number of HRV parameters was both reliable as well as sensitive indices of mental effort, although the simple linear methods were the most sensitive.
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Affiliation(s)
- Shalini Mukherjee
- Department of Neurology, Oregon Health & Science University, Portland, OR 97239, USA
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Badheka A, Rathod A, Kizilbash MA, Lai Z, Mohamad T, Shah A, Afonso L, Jacob S. Epileptic patients who survived sudden cardiac death have increased risk of recurrent arrhythmias and death. J Cardiovasc Med (Hagerstown) 2011; 11:810-4. [PMID: 20543707 DOI: 10.2459/jcm.0b013e32833b99c1] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Cardiac arrhythmogenesis and cryptogenic epilepsy can be due to ion channel dysfunction and may coexist in the same patient. Sudden unexplained death in epilepsy (SUDEP) is a known entity with unknown cause, with the possibility of ventricular tachyarrhythmias being one of the causes. However, no prior study has investigated epileptic survivors of sudden cardiac death (SCD), recurrent life-threatening ventricular tachyarrhythmia (LTVA) and other outcomes in this patient population. METHODS The Antiarrhythmics Versus Implantable Cardioverter Defibrillators (AVID) Trial (n = 1016) was a multicenter trial comparing a cardioverter-defibrillator device (ICD) (n = 507) and anti-arrhythmic drugs (AADs) (n = 499) for secondary prevention of LTVAs. Mean follow-up duration was 916 ± 471 days per patient. Patients with a history of epilepsy (n = 6) in the ICD arm were included in this analysis. End points were recurrence of LTVA, cardiac death and all-cause mortality. RESULTS History of epilepsy (n = 6) was a significant predictor of recurrent LTVA [hazard ratio 3.53, 95% confidence interval (CI) 1.30-9.56], cardiac death (hazard ratio 4.14, 95% CI 1.30-13.14) and all-cause mortality (hazard ratio 3.82, 95% CI 1.40-10.48) in the ICD arm (n = 498). This relationship remained unchanged on multivariate analysis after controlling for baseline clinical differences. CONCLUSION This is the first study to investigate the effect of epilepsy on secondary prevention of LTVA. Epileptic survivors of SCD are at significantly greater risk of recurrent arrhythmias and death as compared to other survivors of recurrent LTVA. Role of coexisting channelopathies in both epilepsy and arrhythmogenesis may explain SUDEP and requires further investigation.
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Affiliation(s)
- Apurva Badheka
- Division of Cardiology/Electrophysiology, Department of Internal Medicine, Wayne State University, Detroit, Michigan 48201, USA
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Suorsa E, Korpelainen JT, Ansakorpi H, Huikuri HV, Suorsa V, Myllylä VV, Isojärvi JI. Heart rate dynamics in temporal lobe epilepsy—A long-term follow-up study. Epilepsy Res 2011; 93:80-3. [DOI: 10.1016/j.eplepsyres.2010.10.005] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2010] [Revised: 08/28/2010] [Accepted: 10/11/2010] [Indexed: 11/29/2022]
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Cardiovascular modulation during vagus nerve stimulation therapy in patients with refractory epilepsy. Epilepsy Res 2010; 92:145-52. [DOI: 10.1016/j.eplepsyres.2010.08.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2010] [Revised: 07/12/2010] [Accepted: 08/22/2010] [Indexed: 11/21/2022]
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Colugnati DB, Arida RM, Cysneiros RM, Terra VC, Sonoda EY, Pansani AP, Scorza CA, Cavalheiro EA, Scorza FA. Carbamazepine does not alter the intrinsic cardiac function in rats with epilepsy. ARQUIVOS DE NEURO-PSIQUIATRIA 2010; 68:573-8. [DOI: 10.1590/s0004-282x2010000400018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2009] [Accepted: 01/22/2010] [Indexed: 11/21/2022]
Abstract
Among the causes for sudden unexpected death (SUDEP) in epilepsy, the effects of antiepileptic drugs on the heart have been poorly explored. Based on this, the aim of our study was to evaluate the heart rate (in vivo and isolated ex vivo) and ventricular pressure (isolated ex vivo) of rats with and without epilepsy treated with carbamazepine. Four groups of adult, male Wistar rats (200-250 g) were studied: [A] control rats (n=8), received neither pilocarpine nor carbamazepine [B] carbamazepine-treated rats (n=8), received a daily dose of 120 mg/Kg, i.p. of carbamazepine for two weeks; [C] rats with epilepsy that received just saline solution (n=8); [D] rats with epilepsy that received a daily dose of 120 mg/Kg, i.p. of carbamazepine for two weeks (n=8). Our results showed significant increase in heart rate in animals with epilepsy (with and without the use of carbamazepine) when compared to the control groups in vivo. In contrast, we did not find differences during isolated ex vivo experiments comparing animals with and without epilepsy and despite the use of carbamazepine. Our results suggest that, in isolation, carbamazepine may not be a potential risk factor for sudden unexpected death in epilepsy.
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Nilsen KB, Haram M, Tangedal S, Sand T, Brodtkorb E. Is elevated pre-ictal heart rate associated with secondary generalization in partial epilepsy? Seizure 2010; 19:291-5. [DOI: 10.1016/j.seizure.2010.03.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2009] [Revised: 02/16/2010] [Accepted: 03/18/2010] [Indexed: 10/19/2022] Open
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Surges R, Henneberger C, Adjei P, Scott C, Sander J, Walker M. Do alterations in inter-ictal heart rate variability predict sudden unexpected death in epilepsy? Epilepsy Res 2009; 87:277-80. [DOI: 10.1016/j.eplepsyres.2009.08.008] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2009] [Revised: 08/02/2009] [Accepted: 08/09/2009] [Indexed: 11/30/2022]
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Abstract
Sudden unexpected death in epilepsy (SUDEP) is the most common cause of death directly related to epilepsy, and most frequently occurs in people with chronic epilepsy. The main risk factors for SUDEP are associated with poorly controlled seizures, suggesting that most cases of SUDEP are seizure-related events. Dysregulation in cardiac and respiratory physiology, dysfunction in systemic and cerebral circulation physiology, and seizure-induced hormonal and metabolic changes might all contribute to SUDEP. Cardiac factors include bradyarrhythmias and asystole, as well as tachyarrhythmias and alterations to cardiac repolarization. Altered electrolytes and blood pH, as well as the release of catecholamines, modulate cardiac excitability and might facilitate arrhythmias. Respiratory symptoms are not uncommon during seizures and comprise central apnea or bradypnea, and, less frequently, obstruction of the airways and neurogenic pulmonary edema. Alterations to autonomic function, such as a reduction in heart rate variability or disturbed baroreflex sensitivity, can impair the body's capacity to cope with challenging situations of elevated stress, such as seizures. Here, we summarize data on the incidence of and risk factors for SUDEP, and consider the pathophysiological aspects of chronic epilepsy that might lead to sudden death. We suggest that SUDEP is caused by the fatal coexistence of several predisposing and triggering factors.
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Abstract
Seizures frequently affect the heart rate and rhythm. In most cases, seizure-related cardiac changes are transient and do not appear to cause clinically significant abnormalities for the patient. Great interest in this area of research has been generated because of a possible connection with sudden unexpected death in epilepsy (SUDEP). While there are clear, but rare complications from seizure-related cardiac arrhythmias, such as ictal asystole that causes syncope, the overall risk of seizures on cardiac status and any potential connection between seizures and SUDEP still remain uncertain.
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Affiliation(s)
- Maromi Nei
- Jefferson Comprehensive Epilepsy Center Philadelphia, Pennsylvania, USA.
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32
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Hughes JR. A review of sudden unexpected death in epilepsy: prediction of patients at risk. Epilepsy Behav 2009; 14:280-7. [PMID: 19130900 DOI: 10.1016/j.yebeh.2008.12.004] [Citation(s) in RCA: 70] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2008] [Revised: 12/09/2008] [Accepted: 12/13/2008] [Indexed: 11/18/2022]
Abstract
This review attempts to provide up-to-date quantitative data from published reports on sudden unexpected death in epilepsy (SUDEP) appearing on Medline and, especially, to provide a means to predict the probability of SUDEP in a given patient. The mean incidence of SUDEP was 1.8/1000, similar to the median of 1.5. The mean standardized mortality ratio was 6.8, and the mean percentage of SUDEP cases among deaths from epilepsy was 16.6. Seventeen risk factors were identified, each given a value according to the number of studies in the literature that specified that condition as a significant risk. The addition of these 17 values then indicated the risk for a given patient. The author calculated these for a group of 91 patients who died of SUDEP and also for 91 live patients. Many of their values for the different risks were significantly different. The sensitivity of these SUDEP values was 71.3%, the specificity 81.8%, and the positive predictive value 84.6%. A discussion includes the question of whether the death in SUDEP is primarily cardiac or pulmonary and the suggestion that it may be either or both in a given patient. The most important risk factor in this study was noncompliance with antiepileptic medication, and the main message of this study to caregivers is that therapeutic drug levels are crucial to avoid SUDEP.
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Affiliation(s)
- John R Hughes
- Department of Neurology, University of Illinois Medical Center at Chicago, Chicago, IL, USA.
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Hallioglu O, Okuyaz C, Mert E, Makharoblidze K. Effects of antiepileptic drug therapy on heart rate variability in children with epilepsy. Epilepsy Res 2008; 79:49-54. [DOI: 10.1016/j.eplepsyres.2007.12.020] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2007] [Revised: 08/30/2007] [Accepted: 12/29/2007] [Indexed: 11/25/2022]
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Lossius MI, Erikssen JE, Mowinckel P, Gulbrandsen P, Gjerstad L. Changes in autonomic cardiac control in patients with epilepsy after discontinuation of antiepileptic drugs: a randomized controlled withdrawal study. Eur J Neurol 2007; 14:1022-8. [PMID: 17718695 DOI: 10.1111/j.1468-1331.2007.01863.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
The aim of this study was to assess cardiac autonomic control in patients with epilepsy before and after withdrawal of antiepileptic drugs (AEDs). The study was prospective, randomized and double blinded. Spectral analysis of heart rate variability (HRV) in 24 h ECG-registration before and after withdrawal of AEDs was used to assess autonomic cardiac control. The assessment of HRV with spectral analysis was based on sinus rhythm and normal heart beats [normal to normal beat (NN)]. Thirty-nine patients had 24 h rhythms free from any ectopic beats both before and after intervention, and were included in the analysis. Significant differences were found in the withdrawal group: filtered RR intervals for all 5 min segments of the analysis; percentage of differences between adjacent filtered RR intervals that are greater than 50 ms for the whole analysis; very low frequency power; low frequency power and high frequency power. The results demonstrate that slow withdrawal of AEDs in seizure-free patients with epilepsy on drug mono-therapy resulted in an increase in both parasympathetic and sympathetic functions, indicative of increased power amongst patients following cessation of AED treatment. As low HRV has been associated with increased mortality in patients with other diseases, this increased HRV may be beneficial.
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Affiliation(s)
- M I Lossius
- Helse Øst Health Services Research Centre, Akershus University Hospital, Sandvika, Norway.
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Scorza FA, Albuquerque MD, Arida RM, Cavalheiro EA. Alterações cardiovasculares e morte súbita nas epilepsias. ARQUIVOS DE NEURO-PSIQUIATRIA 2007; 65:461-6. [PMID: 17665016 DOI: 10.1590/s0004-282x2007000300019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2006] [Accepted: 03/06/2007] [Indexed: 11/22/2022]
Abstract
A epilepsia é a doença neurológica crônica grave mais comum e o fenômeno da morte súbita nas epilepsias (SUDEP) é a causa direta de morte mais importante nesta doença. A causa da SUDEP ainda é desconhecida, no entanto, alterações cardiovasculares têm sido sugeridas como os mecanismos mais comuns. Sendo assim, enfatizamos nesta revisão a relação existente entre SUDEP e alterações cardiovasculares.
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Affiliation(s)
- Fulvio Alexandre Scorza
- Neurologia Experimental da Universidade Federal de São Paulo/Escola Paulista de Medicina, São Paulo SP, Brasil.
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Hitiris N, Mohanraj R, Norrie J, Brodie MJ. Mortality in epilepsy. Epilepsy Behav 2007; 10:363-76. [PMID: 17337248 DOI: 10.1016/j.yebeh.2007.01.005] [Citation(s) in RCA: 138] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2007] [Revised: 01/19/2007] [Accepted: 01/20/2007] [Indexed: 10/23/2022]
Abstract
All studies report an increased mortality risk for people with epilepsy compared with the general population. Population-based studies have demonstrated that the increased mortality is often related to the cause of the epilepsy. Common etiologies include neoplasia, cerebrovascular disease, and pneumonia. Deaths in selected cohorts, such as sudden unexpected death in epilepsy (SUDEP), status epilepticus (SE), suicides, and accidents are more frequently epilepsy-related. SUDEP is a particular cause for concern in younger people, and whether and when SUDEP should be discussed with patients with epilepsy remain problematic issues. Risk factors for SUDEP include generalized tonic-clonic seizures, increased seizure frequency, concomitant learning disability, and antiepileptic drug polypharmacy. The overall incidence of SE may be increasing, although case fatality rates remain constant. Mortality is frequently secondary to acute symptomatic disorders. Poor compliance with treatment in patients with epilepsy accounts for a small proportion of deaths from SE. The incidence of suicide is increased, particularly for individuals with epilepsy and comorbid psychiatric conditions. Late mortality figures in patients undergoing epilepsy surgery vary and are likely to reflect differences in case selection. Future studies of mortality should be prospective and follow agreed guidelines to better quantify risk and causation in individual populations.
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Affiliation(s)
- Nikolas Hitiris
- Epilepsy Unit, Division of Cardiovascular and Medical Sciences, Western Infirmary, Glasgow, Scotland, UK
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Persson H, Kumlien E, Ericson M, Tomson T. Circadian Variation in Heart-Rate Variability in Localization-related Epilepsy. Epilepsia 2007; 48:917-22. [PMID: 17326792 DOI: 10.1111/j.1528-1167.2006.00961.x] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
PURPOSE Case-control studies of sudden unexpected death in epilepsy (SUDEP) have reported that SUDEP is more likely to occur during sleep and thus presumably during night hours. The circadian variation of heart-rate variability (HRV) might be of relevance to this risk. We examined night versus daytime HRV in patients with newly diagnosed and refractory localization-related epilepsy, assessing the effects of drug treatment and epilepsy surgery on the night/daytime HRV ratio. METHODS We used spectral analysis to assess HRV and calculated the night-time (00.00-05.00)/daytime (07.30-21.30) ratio of HRV in 14 patients with newly diagnosed localization-related epilepsy before and during carbamazepine (CBZ) treatment and in 21 patients with temporal lobe epilepsy before and after epilepsy surgery. Both groups were compared with age- and sex-matched controls. RESULTS No significant differences were found from controls in the night/daytime ratios of HRV whether compared before or after initiation of treatment with CBZ in newly diagnosed epilepsy patients. When patients were used as their own controls, night/daytime ratios of standard deviation of RR intervals (p = 0.04) and total power (p = 0.04) were significantly lower during treatment than before. Compared with those of controls, the night/daytime ratios were lower in epilepsy surgery patients before surgery [low-frequency power (p = 0.04); high-frequency power (p = 0.04)]. Night/daytime ratios did not change significantly after surgery. CONCLUSIONS The HRV of the patients was more affected during night-time when the risk of SUDEP seems to be highest in such patients.
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Affiliation(s)
- Håkan Persson
- Department of Clinical Neuroscience, Karolinska Institute, Karolinska Hospital, Stockholm, Sweden.
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38
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Abstract
People with epilepsy may die suddenly and unexpectedly without a structural pathological cause. Most SUDEP cases are likely to be related to seizures. SUDEP incidence varies and is <1:1,000 person-years among prevalent cases in the community and approximately 1:250 person years in specialist centres. Case-control studies identified certain risk factors, some potentially amenable to manipulation, including uncontrolled convulsive seizures and factors relating to treatment and supervision. Both respiratory and cardiac mechanisms are important. The apparent protective effect of lay supervision supports an important role for respiratory factors, in part amenable to intervention by simple measures. Whereas malignant tachyarrhythmias are rare during seizures, sinus bradycardia/arrest, although infrequent, is well documented. Both types of arrhythmias can have a genetic basis. This article reviews SUDEP and explores the potential of coexisting liability to cardiac arrhythmias as a contributory factor, while acknowledging that at present, bridging evidence between cardiac inherited gene determinants and SUDEP is lacking.
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Affiliation(s)
- Lina Nashef
- Neurology Department, Kings College Hospital, London, UK.
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Vlooswijk MCG, Majoie HJM, De Krom MCTFM, Tan IY, Aldenkamp AP. SUDEP in the Netherlands: A retrospective study in a tertiary referral center. Seizure 2007; 16:153-9. [PMID: 17178458 DOI: 10.1016/j.seizure.2006.11.002] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2005] [Revised: 11/10/2006] [Accepted: 11/10/2006] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVE To evaluate risk factors for sudden and unexpected death in epilepsy (SUDEP) in a high-risk population, i.e. patients treated in a Dutch tertiary referral center for epilepsy. METHODS All patients who died between January 1999 and April 2004 while under treatment of the epilepsy center were identified. Based on clinical data, deaths were classified as definite, probable, possible or non-SUDEP. Potential risk factors were compared in SUDEP cases and non-SUDEP cases. RESULTS SUDEP incidence was 1.24 per 1000 patient years. SUDEP patients died at a younger age than patients from the control group of non-SUDEP deaths with epilepsy and had an earlier onset of epilepsy. However, the frequently mentioned factors in previous studies, i.e. male sex, generalized tonic-clonic seizures, high seizure frequency, specific AEDs, polytherapy with several AEDs, mental retardation, psychiatric illness and psychotropic comedication, were not found to be correlated with SUDEP. CONCLUSIONS Even in this high-risk population of patients with refractory epilepsy, treated in a tertiary referral center, SUDEP is not a frequently occurring phenomenon. Specific risk factors could not be identified within an already high-risk population.
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Affiliation(s)
- M C G Vlooswijk
- Department of Neurology, University Hospital Maastricht, The Netherlands.
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Leung H, Kwan P, Elger CE. Finding the missing link between ictal bradyarrhythmia, ictal asystole, and sudden unexpected death in epilepsy. Epilepsy Behav 2006; 9:19-30. [PMID: 16809068 DOI: 10.1016/j.yebeh.2006.05.009] [Citation(s) in RCA: 67] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2006] [Revised: 05/22/2006] [Accepted: 05/23/2006] [Indexed: 12/30/2022]
Abstract
Basic science studies of the human brain have supported the cortical representation of cardiovascular responses, including heart rate variability. Clinical observations of ictal bradyarrhythmia may be mechanistically explained by the influence of the central autonomic network, although the localization and lateralization issues need to be considered in the light of patterns of seizure spread, hand dominance, and presence of lesions. Ictal bradyarrhythmia also offers a mechanistic explanation of sudden unexpected death in epilepsy (SUDEP), though it may explain only some but not all cases of SUDEP. The missing links are (1) clinical evidence of common factors shared by patients with ictal bradyarrhythmia and patients who die from SUDEP, (2) evidence of arrhythmia as a risk factor for SUDEP from epidemiological studies, and, (3) determination of the importance of ictal bradyarrhythmia in SUDEP with respect to other proposed mechanisms including apnea and intrinsic cardiac abnormalities. There remains a need to review the seizure mechanisms in cases of SUDEP and to step up the amount of concurrent ECG/intracranial EEG analysis in both ictal bradyarrhythmia and SUDEP cases.
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Affiliation(s)
- H Leung
- Department of Epileptology, University of Bonn, Bonn, Germany.
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41
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Freeman R. Cardiovascular manifestations of autonomic epilepsy. Clin Auton Res 2006; 16:12-7. [PMID: 16477490 DOI: 10.1007/s10286-006-0278-y] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2005] [Accepted: 03/16/2005] [Indexed: 12/15/2022]
Abstract
Cardiovascular autonomic manifestations of seizures occur frequently in the epileptic population. Common manifestations include alterations in heart rate and rhythm, blood pressure, ECG changes and chest pain. The neuroanatomical and neurophysiological underpinnings of these autonomic manifestations are not been fully elucidated. Diagnostic confusion may arise when ictal symptoms are confined to the autonomic nervous system; conversely, such symptoms in association with convulsions or altered consciousness are more readily recognized as concomitant ictal features. Awareness of the diverse autonomic manifestations of epilepsy will enhance diagnosis and lead to more effective therapy of these patients.
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Affiliation(s)
- Roy Freeman
- Autonomic and Peripheral Nerve Laboratory, Harvard Medical School, Dept. of Neurology, Beth Israel Deaconess Medical Center, 1 Deaconess Road, Boston, MA 02215, USA.
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Lai SL, Hsu MT, Chen SS. The impact of SARS on epilepsy: the experience of drug withdrawal in epileptic patients. Seizure 2005; 14:557-61. [PMID: 16188463 PMCID: PMC7111166 DOI: 10.1016/j.seizure.2005.08.010] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2005] [Indexed: 11/26/2022] Open
Abstract
Background During the 2003 severe acute respiratory syndrome (SARS) outbreak, many patients avoided hospital visit because of fear of infection. Antiepileptic drug (AED) withdrawal is a risk factor for seizure recurrence. Therefore, seizure control during the SARS outbreak is a good model for examining the impact of drug withdrawal in seizure control. Methods All seizures experienced by each patient before, during, and after the SARS outbreak periods were registered in each patient's seizure diary. The patients were divided into four groups according to the presence of drug withdrawal as well as seizure attack. In each group, seizures occurring during three different periods were compared. Risk factors for seizure recurrence were also examined. Results Of 227 cases, 49 stopped taking medication during the outbreak. Among them, 28 suffered seizure attacks during AED withdrawal. Four cases developed cluster attacks and two cases had status epilepticus after AED withdrawal. AED withdrawal produced a significant increase in seizure frequency. The major risk factors for withdrawal seizures were symptomatic etiologies, polytherapy and non-seizure free before AED withdrawal. Conclusions The SARS outbreak adversely affected seizure control because of AED withdrawal. Patients with polytherapy, non-seizure free and symptomatic etiologies were more susceptible to recurrence of seizures after AED withdrawal.
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Affiliation(s)
- Shung-Lon Lai
- Department of Neurology, Kaohsiung Chang-Gung Memorial Hospital, 123 Ta-Pei Rd. Niao-Sung Hsiang, Kaohsiung, Taiwan.
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Rugg-Gunn FJ, Simister RJ, Squirrell M, Holdright DR, Duncan JS. Cardiac arrhythmias in focal epilepsy: a prospective long-term study. Lancet 2004; 364:2212-9. [PMID: 15610808 DOI: 10.1016/s0140-6736(04)17594-6] [Citation(s) in RCA: 238] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Patients with epilepsy are at risk of sudden unexpected death. Neurogenic cardiac arrhythmias have been postulated as a cause. Electrocardiograms (ECG) can be monitored by use of an implantable loop recorder for up to 18 months. We aimed to determine the frequency of cardiac arrhythmias in patients with refractory focal seizures over an extended period. METHODS 20 patients received an implantable loop recorder at one hospital in the UK. Devices were programmed to record automatically if bradycardia (<40 beats per min) or tachycardia (>140 beats per min) were detected. Additionally, in the event of a seizure, patients and relatives could initiate ECG recording with an external activator device. Data were analysed at regular intervals and correlated with seizure diaries. FINDINGS More than 220000 patient-hours were monitored over 24 months, during which ECGs were captured on implantable loop recorders in 377 seizures. One patient withdrew from the study. In 16 patients, median heart rate during habitual seizures exceeded 100 beats per min. Ictal bradycardia (<40 beats per min) was rare, occurring in eight (2.1%) recorded events, in seven patients. Four patients (21%) had bradycardia or periods of asystole with subsequent permanent pacemaker insertion. Three of these four (16% of total) had potentially fatal asystole. INTERPRETATION Clinical characteristics of patients with peri-ictal cardiac abnormalities are closely similar to those at greatest risk of sudden unexpected death in epilepsy. Asystole might underlie many of these deaths, which would have important implications for the investigation of similar patients and affect present cardiac-pacing policies.
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Affiliation(s)
- Fergus J Rugg-Gunn
- National Society for Epilepsy and Department of Clinical and Experimental Epilepsy, Institute of Neurology, University College London, London, UK
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Stöllberger C, Finsterer J. Cardiorespiratory findings in sudden unexplained/unexpected death in epilepsy (SUDEP). Epilepsy Res 2004; 59:51-60. [PMID: 15135167 DOI: 10.1016/j.eplepsyres.2004.03.008] [Citation(s) in RCA: 182] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2003] [Revised: 02/23/2004] [Accepted: 03/07/2004] [Indexed: 11/21/2022]
Abstract
Sudden unexplained/unexpected death in epilepsy (SUDEP), with an incidence of 0.35-9.3/1000 patient-years depending on the severity of epilepsy, remains a diagnostic and therapeutic challenge. Potential pathomechanisms comprise cardiac arrhythmia, due to myocardial ischemia, electrolyte disturbances, arrhythmogenic drugs, or transmission of the epileptic activity via the autonomic nervous system to the heart, and central or obstructive apnea. In most studies on SUDEP, data are lacking about the family and patient's own clinical history, cardiovascular symptoms, concomitant diseases and prior findings. Whether arterial hypertension, diabetes, hypercholesterolemia, other neurologic disorders, lung diseases, smoking or electrolyte disturbances are risk factors for SUDEP is unknown. Whereas cardiac dysfunction during seizures has been documented by electrocardiography, and cardiac abnormalities are found in up to 33% of SUDEP cases autoptically, investigations between seizures found only little cardiac abnormalities. More knowledge about the cardiovascular and pulmonary status of epileptic patients during, immediately after and between seizures is needed, which may contribute to better understand and possibly prevent SUDEP by measures like "cardioprotective" drugs, respiratory therapy or implantation of a cardioverter/defibrillator.
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Abstract
Parial and generalized seizures often affect autonomic function during seizures as well as during the interictal and postictal periods. Activation or inhibition of areas in the central autonomic network can cause cardiovascular, gastrointestinal, cutaneous, pupillary, urinary, and genital manifestations. Autonomic dysfunction during or after seizures may cause cardiac and pulmonary changes that contribute to sudden unexplained death in epilepsy.
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Affiliation(s)
- Orrin Devinsky
- Comprehensive Epilepsy Center, New York University Medical Center, New York, New York
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Abstract
Sudden unexpected death in epilepsy (SUDEP) accounts for approximately 2% of deaths in population-based cohorts of epilepsy, and up to 25% of deaths in cohorts of more severe epilepsy. When it occurs, SUDEP usually follows a generalised tonic-clonic seizure. Unresponsiveness, apnoea, and cardiac arrest occur in SUDEP, rather than the typical gradual recovery. The great majority of tonic-clonic seizures occur without difficulty and how the rare seizure associated with SUDEP differs from others is unknown.Three mechanisms have been proposed for SUDEP: cardiac arrhythmia, neurogenic pulmonary oedema, and postictal suppression of brainstem respiratory centres leading to central apnoea. Recent studies have found that the incidence of SUDEP increases with the severity of epilepsy in the population studied. The duration of epilepsy, number of tonic-clonic seizures, mental retardation, and simultaneous treatment with more than two antiepileptic drugs are independent risk factors for SUDEP. Some studies have reported that carbamazepine use, carbamazepine toxicity, and frequent, rapid changes in carbamazepine levels, may be associated with SUDEP. Other evidence indicates that carbamazepine could potentially increase the risk for SUDEP by causing arrhythmia or by altering cardiac autonomic function. However, this evidence is tenuous and most studies have not found an association between the use of carbamazepine or any other individual antiepileptic drug and SUDEP. There is little information regarding antiepileptic drugs other than phenytoin and carbamazepine. The incidence of SUDEP with gabapentin, tiagabine, and lamotrigine clinical development programmes is in the range found in other populations with refractory epilepsy. This suggests that these individual antiepileptic drugs are no more likely to cause SUDEP than antiepileptic drugs in general. Best current evidence indicates that the risk of SUDEP can be decreased by aggressive treatment of tonic-clonic seizures with as few antiepileptic drugs as necessary to achieve complete control. At present there is no strong reason to avoid any particular antiepileptic drug. Further studies are needed to elucidate the potential role of individual antiepileptic drugs in SUDEP and establish clinical relevance, if any. These studies may be challenging to conduct and interpret because SUDEP is relatively uncommon and large numbers will be necessary to narrow confidence intervals to determine the clinical relevance. Also adjustments will be needed to account for the potent risks associated with other independent factors.
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Persson H, Ericson M, Tomson T. Carbamazepine affects autonomic cardiac control in patients with newly diagnosed epilepsy. Epilepsy Res 2003; 57:69-75. [PMID: 14706734 DOI: 10.1016/j.eplepsyres.2003.10.012] [Citation(s) in RCA: 75] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Previous studies indicate that epilepsy patients may have impaired autonomic cardiovascular control in the interictal state although it is unclear whether the observed reduction in cardiovascular responses is due to the epilepsy and the interictal epileptogenic discharges, or to the treatment with antiepileptic drugs. Spectral analysis of heart rate variability makes it possible to partly separate the sympathetic components, low frequency (LF), from the vagal components, high frequency (HF) of autonomic cardiac control. We used spectral analysis of heart rate variability to assess the effect of carbamazepine (CBZ) on autonomic cardiac control in patients with newly diagnosed epilepsy. Fifteen adult outpatients with newly diagnosed seizures/epilepsy underwent 24 h ambulatory EKG recordings before and after commencement of CBZ treatment. Total power as well as low frequency (LF), very low frequency (VLF) and high frequency (HF) power in heart rate variability was calculated. When analysing the full 24 h recordings, patients had significantly lower standard deviation of RR-intervals (P=0.0015), total power (P=0.0010), LF (P=0.0002), VLF (P=0.0025) and HF (P=0.0139) during treatment with CBZ than before. The results were very similar for daytime and night time recordings. Our observations demonstrate that CBZ may suppress both parasympathetic and sympathetic functions in newly diagnosed patients with epilepsy. The possible implications of our results for sudden unexpected death in epilepsy are discussed.
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Affiliation(s)
- Håkan Persson
- Department of Clinical Neuroscience, Karolinska Institute at Department of Neurology, R3:04 Karolinska Hospital, Stockholm SE-171 76, Sweden.
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Tigaran S, Mølgaard H, McClelland R, Dam M, Jaffe AS. Evidence of cardiac ischemia during seizures in drug refractory epilepsy patients. Neurology 2003; 60:492-5. [PMID: 12578934 DOI: 10.1212/01.wnl.0000042090.13247.48] [Citation(s) in RCA: 120] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
The authors investigated whether patients with drug refractory epilepsy have cardiovascular abnormalities that might be related to a high frequency of sudden death. Twenty-three subjects underwent comprehensive cardiovascular evaluations before and during video-EEG monitoring. ST-segment depression occurred in 40% and was associated with a higher maximum heart rate during seizures. These data suggest that cardiac ischemia may occur in these patients.
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Affiliation(s)
- S Tigaran
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark.
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Seeck M, Zaim S, Chaves-Vischer V, Blanke O, Maeder-Ingvar M, Weissert M, Roulet E. Ictal bradycardia in a young child with focal cortical dysplasia in the right insular cortex. Eur J Paediatr Neurol 2003; 7:177-81. [PMID: 12865058 DOI: 10.1016/s1090-3798(03)00051-5] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
We report on a three and a half year old child with episodic sinus bradycardia during habitual seizures and prolonged interictal discharges due to focal cortical dysplasia in the anterior 2/3 of the insula and the inferior frontal cortex. Seizure-induced bradycardia is rarely reported in children. Bradycardia is suspected to be related to sudden death, a rare complication of a chronic seizure disorder. Several well-documented cases in adult patients reveal a high incidence of temporal epilepsy, but MRI and PET studies in healthy subjects suggest a major role of the insular cortex, especially the right, in cardiac regulation. Our finding underlines the predominance of the right insula in cardiac control, which already seems to be present in children.
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Affiliation(s)
- M Seeck
- Laboratory for Presurgical Epilepsy Evaluation, Program of Functional Neurology, Switzerland.
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