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Aktar B, Balci B, Eraslan Boz H, Oztura I, Baklan B. Yoga and aerobic exercise in epilepsy: Study protocol for a randomized controlled trial. PHYSIOTHERAPY RESEARCH INTERNATIONAL 2023; 28:e2013. [PMID: 37151132 DOI: 10.1002/pri.2013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 04/18/2023] [Accepted: 04/19/2023] [Indexed: 05/09/2023]
Abstract
BACKGROUND There has been a growing interest in demonstrating the health benefits of exercise among people with epilepsy in recent years. Although exercise is recommended for people with epilepsy, there is uncertainty concerning the effects of yoga and aerobic exercise on multiple health outcomes in epilepsy. PURPOSE The aim of this trial was to examine the effects of yoga and aerobic exercise training on physical activity, seizure frequency, health-related physical fitness, mental, emotional, and psychological health status, and quality of life. METHODS This study was designed as a single-center, 8-week, randomized controlled trial in a three-arm parallel group. Participants will be randomly allocated to yoga, aerobic exercise, or wait-list control groups. The primary outcome is physical activity/sedentary behavior measured by the ActiGraph GT9X accelerometer and seizure frequency. Secondary outcomes include functional capacity, lower extremity strength, balance, body composition, waist and hip circumference, cognition, depression, anxiety, perceived stress, fatigue, sleep quality, and quality of life. The outcomes will be evaluated at baseline and at 8 weeks of follow-up. IMPLICATIONS OF PHYSIOTHERAPY PRACTICE This study is the first randomized controlled trial comparing the effects of yoga and aerobic exercise among people with epilepsy. The findings of this study could provide important information about the effects of yoga and aerobic exercise training on a variety of health conditions in people with epilepsy. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT05066880, registered October 4, 2021.
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Affiliation(s)
- Burcin Aktar
- Institute of Health Sciences, Dokuz Eylul University, Izmir, Turkey
- Faculty of Physical Therapy and Rehabilitation, Dokuz Eylul University, Izmir, Turkey
| | - Birgul Balci
- Faculty of Physical Therapy and Rehabilitation, Dokuz Eylul University, Izmir, Turkey
| | - Hatice Eraslan Boz
- Department of Neurosciences, Institute of Health Sciences, Dokuz Eylul University, Izmir, Turkey
- Department of Neurology, Unit of Neuropscyhology, Dokuz Eylul University, Izmir, Turkey
| | - Ibrahim Oztura
- Department of Neurology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Baris Baklan
- Department of Neurology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
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Liu Z, Thergarajan P, Antonic-Baker A, Chen Z, Sparks PB, Lannin NA, Kwan P, Jones NC, Casillas-Espinosa PM, Perucca P, O'Brien TJ, Sivathamboo S. Cardiac structural and functional abnormalities in epilepsy: A systematic review and meta-analysis. Epilepsia Open 2023; 8:46-59. [PMID: 36648338 PMCID: PMC9977759 DOI: 10.1002/epi4.12692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 01/11/2023] [Indexed: 01/18/2023] Open
Abstract
OBJECTIVE Epilepsy is associated with an increased risk of cardiovascular disease and mortality. Whether cardiac structure and function are altered in epilepsy remains unclear. To address this, we conducted a systematic review and meta-analysis of studies evaluating cardiac structure and function in patients with epilepsy. METHODS We searched the electronic databases MEDLINE, PubMed, COCHRANE, and Web of Science from inception to 31 December 2021. Primary outcomes of interest included left ventricular ejection fraction (LVEF) for studies reporting echocardiogram findings and cardiac weight and fibrosis for postmortem investigations. Study quality was assessed using the National Heart, Lung, and Blood Institute (NHLBI) assessment tools. RESULTS Among the 10 case-control studies with epilepsy patients (n = 515) and healthy controls (n = 445), LVEF was significantly decreased in epilepsy group compared with controls (MD: -1.80; 95% confidence interval [CI]: -3.56 to -0.04; P = 0.045), whereas A-wave velocity (MD: 4.73; 95% CI: 1.87-7.60; P = 0.001), E/e' ratio (MD: 0.39; 95% CI: 0.06-0.71; P = 0.019), and isovolumic relaxation time (MD: 10.18; 95% CI: 2.05-18.32; P = 0.014) were increased in epilepsy, compared with controls. A pooled analysis was performed in sudden unexpected death in epilepsy (SUDEP) cases with autopsy data (n = 714). Among SUDEP cases, the prevalence of cardiac hypertrophy was 16% (95% CI: 9%-23%); cardiac fibrosis was 20% (95% CI: 15%-26%). We found no marked differences in cardiac hypertrophy, heart weight, or cardiac fibrosis between SUDEP cases and epilepsy controls. SIGNIFICANCE Our findings suggest that epilepsy is associated with altered diastolic and systolic echocardiogram parameters compared with healthy controls. Notably, SUDEP does not appear to be associated with a higher incidence of structural cardiac abnormalities, compared with non-SUDEP epilepsy controls. Longitudinal studies are needed to understand the prognostic significance of such changes. Echocardiography may be a useful noninvasive diagnostic test in epilepsy population.
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Affiliation(s)
- Zining Liu
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Peravina Thergarajan
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Ana Antonic-Baker
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Zhibin Chen
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.,Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - Paul B Sparks
- Department of Cardiology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Natasha A Lannin
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.,Alfred Health, Melbourne, Victoria, Australia
| | - Patrick Kwan
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.,Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, Victoria, Australia.,Alfred Health, Melbourne, Victoria, Australia.,Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Nigel C Jones
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.,Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, Victoria, Australia.,Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
| | - Pablo M Casillas-Espinosa
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.,Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, Victoria, Australia.,Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
| | - Piero Perucca
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.,Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia.,Department of Neurology, Alfred Health, Melbourne, Victoria, Australia.,Bladin-Berkovic Comprehensive Epilepsy Program, Department of Neurology, Austin Hospital, Heidelberg, Victoria, Australia.,Department of Medicine (Austin Health), Epilepsy Research Centre, The University of Melbourne, Heidelberg, Victoria, Australia
| | - Terence J O'Brien
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.,Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, Victoria, Australia.,Alfred Health, Melbourne, Victoria, Australia.,Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Shobi Sivathamboo
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.,Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, Victoria, Australia.,Alfred Health, Melbourne, Victoria, Australia.,Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
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Hermann BP, Struck AF, Busch RM, Reyes A, Kaestner E, McDonald CR. Neurobehavioural comorbidities of epilepsy: towards a network-based precision taxonomy. Nat Rev Neurol 2021; 17:731-746. [PMID: 34552218 PMCID: PMC8900353 DOI: 10.1038/s41582-021-00555-z] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/10/2021] [Indexed: 02/06/2023]
Abstract
Cognitive and behavioural comorbidities are prevalent in childhood and adult epilepsies and impose a substantial human and economic burden. Over the past century, the classic approach to understanding the aetiology and course of these comorbidities has been through the prism of the medical taxonomy of epilepsy, including its causes, course, characteristics and syndromes. Although this 'lesion model' has long served as the organizing paradigm for the field, substantial challenges to this model have accumulated from diverse sources, including neuroimaging, neuropathology, neuropsychology and network science. Advances in patient stratification and phenotyping point towards a new taxonomy for the cognitive and behavioural comorbidities of epilepsy, which reflects the heterogeneity of their clinical presentation and raises the possibility of a precision medicine approach. As we discuss in this Review, these advances are informing the development of a revised aetiological paradigm that incorporates sophisticated neurobiological measures, genomics, comorbid disease, diversity and adversity, and resilience factors. We describe modifiable risk factors that could guide early identification, treatment and, ultimately, prevention of cognitive and broader neurobehavioural comorbidities in epilepsy and propose a road map to guide future research.
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Affiliation(s)
- Bruce P. Hermann
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.,
| | - Aaron F. Struck
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.,William S. Middleton Veterans Administration Hospital, Madison, WI, USA
| | - Robyn M. Busch
- Epilepsy Center and Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.,Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Anny Reyes
- Department of Psychiatry and Center for Multimodal Imaging and Genetics, University of California, San Diego, San Diego, CA, USA
| | - Erik Kaestner
- Department of Psychiatry and Center for Multimodal Imaging and Genetics, University of California, San Diego, San Diego, CA, USA
| | - Carrie R. McDonald
- Department of Psychiatry and Center for Multimodal Imaging and Genetics, University of California, San Diego, San Diego, CA, USA
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Szałwińska K, Cyuńczyk M, Kochanowicz J, Witkowska AM. Dietary and lifestyle behavior in adults with epilepsy needs improvement: a case-control study from northeastern Poland. Nutr J 2021; 20:62. [PMID: 34187474 PMCID: PMC8243538 DOI: 10.1186/s12937-021-00704-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 05/13/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Several factors predispose individuals with epilepsy to chronic diseases. Among them, nutrition and lifestyle factors have not been sufficiently studied. Therefore, the aim of this study was to evaluate patients with epilepsy in terms of diet, body composition and physical activity compared to healthy sex- and age-matched subjects to investigate whether there are risk factors for nutritional deficiencies and risk factors for the development of metabolic diseases. METHODS The case-control study involved 60 epileptic male and female volunteers and 70 healthy controls matched according to age and sex. Medical information was collected during the study, and a detailed questionnaire regarding eating and lifestyle habits was conducted. Physical activity was evaluated using the International Physical Activity Questionnaire (IPAQ). Nutritional status was assessed by bioelectric impedance. Venous blood samples were taken for lipid and 25-hydroxyvitamin D3 (25(OH)D3) analyses. RESULTS A tendency toward an increase in LDL cholesterol was found in the individuals with epilepsy. Significantly higher body fat and insignificantly higher visceral fat were found in epileptic men than in healthy men. In epileptic women, a tendency toward a lower lean body mass was found. Patients with epilepsy were more sedentary, consumed less cottage cheese, fruit, pulses, nuts and seeds, vitamin C and potassium, and consumed more sugar-sweetened soda, fat and sodium than healthy people. On a positive note, individuals with epilepsy consumed less coffee and alcoholic beverages. More than 80% of the epileptic volunteers had diets that were low in folic acid, vitamin D and calcium, but a similar tendency was observed in the healthy volunteers. A higher percentage of the patients with epilepsy had diets that were low in niacin, vitamin C and potassium than the control group (25% vs. 7, 50% vs. 31% and 73 vs. 56%, respectively). A significantly lower serum concentration of 25(OH)D3 was observed in epileptic individuals and was found to be positively modulated by physical activity. CONCLUSIONS The results indicate that several behavior-related habits, which may predispose epileptic people to cardiovascular disease, need to be improved. For this reason, patients with epilepsy should be provided with more comprehensive medical care, including advice on nutrition and physical activity.
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Affiliation(s)
- Kamila Szałwińska
- Department of Food Biotechnology, Medical University of Białystok, Białystok, Poland
| | - Monika Cyuńczyk
- Department of Food Biotechnology, Medical University of Białystok, Białystok, Poland
| | - Jan Kochanowicz
- Department of Neurology, Medical University of Białystok, Białystok, Poland
| | - Anna M Witkowska
- Department of Food Biotechnology, Medical University of Białystok, Białystok, Poland.
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Bulaj G, Clark J, Ebrahimi M, Bald E. From Precision Metapharmacology to Patient Empowerment: Delivery of Self-Care Practices for Epilepsy, Pain, Depression and Cancer Using Digital Health Technologies. Front Pharmacol 2021; 12:612602. [PMID: 33972825 PMCID: PMC8105510 DOI: 10.3389/fphar.2021.612602] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 02/22/2021] [Indexed: 12/15/2022] Open
Abstract
To improve long-term outcomes of therapies for chronic diseases, health promotion and lifestyle modifications are the most promising and sustainable strategies. In addition, advances in digital technologies provide new opportunities to address limitations of drug-based treatments, such as medication non-adherence, adverse effects, toxicity, drug resistance, drug shortages, affordability, and accessibility. Pharmaceutical drugs and biologics can be combined with digital health technologies, including mobile medical apps (digital therapeutics), which offer additional clinical benefits and cost-effectiveness. Promises of drug+digital combination therapies are recognized by pharmaceutical and digital health companies, opening opportunities for integrating pharmacotherapies with non-pharmacological interventions (metapharmacology). Herein we present unique features of digital health technologies which can deliver personalized self-care modalities such as breathing exercises, mindfulness meditation, yoga, physical activity, adequate sleep, listening to preferred music, forgiveness and gratitude. Clinical studies reveal how aforementioned complimentary practices may support treatments of epilepsy, chronic pain, depression, cancer, and other chronic diseases. This article also describes how digital therapies delivering “medicinal” self-care and other non-pharmacological interventions can also be personalized by accounting for: 1) genetic risks for comorbidities, 2) adverse childhood experiences, 3) increased risks for viral infections such as seasonal influenza, or COVID-19, and 4) just-in-time stressful and traumatic circumstances. Development and implementation of personalized pharmacological-behavioral combination therapies (precision metapharmacology) require aligning priorities of key stakeholders including patients, research communities, healthcare industry, regulatory and funding agencies. In conclusion, digital technologies enable integration of pharmacotherapies with self-care, lifestyle interventions and patient empowerment, while concurrently advancing patient-centered care, integrative medicine and digital health ecosystems.
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Affiliation(s)
- Grzegorz Bulaj
- Department of Medicinal Chemistry, Skaggs Pharmacy Institute, University of Utah, Salt Lake City, UT, United States
| | - Jacqueline Clark
- College of Pharmacy, University of Utah, Salt Lake City, UT, United States
| | - Maryam Ebrahimi
- College of Pharmacy, University of Utah, Salt Lake City, UT, United States
| | - Elizabeth Bald
- Department of Pharmacotherapy, Skaggs Pharmacy Institute, University of Utah, Salt Lake City, UT, United States
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Metabolic syndrome and obstructive sleep apnea syndrome among patients with epilepsy on monotherapy. Epilepsy Behav 2020; 111:107296. [PMID: 32769040 DOI: 10.1016/j.yebeh.2020.107296] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 06/21/2020] [Accepted: 06/29/2020] [Indexed: 12/15/2022]
Abstract
OBJECTIVES The study aimed to determine the frequency of metabolic syndrome (MetS) and obstructive sleep apnea syndrome (OSAS) in patients with epilepsy receiving monotherapy and the relationship between these syndromes and antiepileptic drugs (AEDs). METHODS Two hundred and ninety-seven patients with epilepsy between the ages of 18-65 years receiving monotherapy for at least one year and 50 healthy participants were enrolled. Body mass indices and waist circumferences were measured. Serum fasting glucose levels, high-density lipoprotein (HDL), low density lipoprotein (LDL), total cholesterol (TC), triglyceride, and serum AED concentrations were noted. The frequency of MetS in patients with epilepsy was calculated. The snoring, tiredness, observed apnea, high blood pressure, body mass index, age, neck circumference, and male gender (STOP-Bang) questionnaire was used to determine the risk of OSAS. The relationship between these two syndromes and seizure type, disease duration, AED dosage, and treatment duration was analyzed. RESULTS Metabolic syndrome was more frequent in patients with epilepsy compared with healthy participants (32.6% vs. 12.0%), and it was diagnosed in 37.8% of patients receiving valproic acid (VPA), 36.1% of patients receiving carbamazepine (CBZ), 34.9% of patients receiving oxcarbazepine (OXC), and 30.5% of patients on levetiracetam (LEV). There was a positive correlation between VPA treatment duration and MetS existence (p < 0.05). However, MetS frequency did not change because of seizure type, disease duration, or AED dosages in patients with epilepsy receiving monotherapy. The risk for OSAS was higher in patients with epilepsy compared with healthy participants (24.6% vs. 12%), and it was calculated high in 27.7% of patients receiving CBZ, 32.2% of patients receiving LEV, and 30.2% of patients receiving OXC. The OSAS risk was higher in patients who have focal seizures than generalized seizures (p = 0.044). There was no relationship between OSAS risk and duration of epilepsy, duration of treatment, drug doses, and serum drug levels (p > 0.05). CONCLUSION Higher frequency of MetS and OSAS risk should be kept in mind on clinical follow-up of patients with epilepsy receiving monotherapy.
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Shlobin NA, Sander JW. Drivers for the comorbidity of type 2 diabetes mellitus and epilepsy: A scoping review. Epilepsy Behav 2020; 106:107043. [PMID: 32217418 DOI: 10.1016/j.yebeh.2020.107043] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 03/04/2020] [Accepted: 03/12/2020] [Indexed: 01/14/2023]
Abstract
Epilepsy, a common neurologic condition, is associated with a greater prevalence of type 2 diabetes mellitus (T2DM). We examined potential drivers for the comorbidity of epilepsy and T2DM in an attempt to elucidate possible biological mechanisms underlying the development of processes in individuals. We searched PubMed and Medline up to December 2019. Our search yielded 3361 articles, of which 82 were included in the scoping review. We reviewed articles focusing on the association of epilepsy and T2DM, drivers, and biological mechanisms. We found that epilepsy is associated with obesity and obesity is associated with T2DM. Treatment with valproate (either sodium or acid) is associated with weight increase and hyperinsulinemia, while topiramate causes weight loss. People with epilepsy are less likely to exercise, which is protective against obesity. Mitochondrial dysfunction and adiponectin deficiency are common to epilepsy and T2DM. One possible mechanism for the comorbidity is mitochondrial dysfunction and adiponectin deficiency, which promotes epilepsy, obesity, and T2DM. Another possible mechanism is that people with epilepsy are more likely to be obese because of the lack of exercise and the effects of some antiseizure medications (ASMs), which makes them susceptible to T2DM because of the development of mitochondrial dysfunction and adiponectin deficiency. A third mechanism is that people with epilepsy have greater mitochondrial dysfunction and lower adiponectin levels than people without epilepsy at baseline, which may exacerbate after treatment with ASMs. Future research involving a combined genetic and molecular pathway approach will likely yield valuable insight regarding the comorbidity of epilepsy and T2DM.
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Affiliation(s)
- Nathan A Shlobin
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Josemir W Sander
- NIHR University College London Hospitals Biomedical Research Centre, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG & Chalfont Centre for Epilepsy, Chalfont St Peter SL9 0RJ, UK; Stichting Epilepsie Instellingen Nederland (SEIN), Achterweg 5, Heemstede 2103SW, the Netherlands.
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