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Moreno-Pérez O, Merino E, Manuel Ramos J, Carlos Rodríguez J, Diaz C, Mas P, Reus S, Sánchez-Martínez R, Boix V, Chico-Sánchez P, Sánchez-Payá J, Portilla J. Valproic acid could help in the fight against COVID-19: A case-control study. Neurologia 2024; 39:549-554. [PMID: 39232592 DOI: 10.1016/j.nrleng.2023.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 01/22/2022] [Indexed: 09/06/2024] Open
Abstract
OBJECTIVE There is early evidence about Valproic acid (VPA) antiviral effect. Our aim was to investigate the incidence and severity of SARS-CoV-2 infection in VPA users as compared with the general population. MATERIAL AND METHODS A case-control study nested within a cohort, carried out between March 1 and December 17, 2020. Retrospectively, we identified confirmed SARS-CoV-2 infection patients exposed to VPA in our health department (defined as case). We ascertained VPA regimen (all the time (AT) (292 days) or at least 20% of the study period (notAT) (≥58 days) and if VPA levels were in therapeutic range (ATR) (50-100mcg/mL) in the last 24 months. We calculated the cumulative incidence of SARS-CoV-2 infection and hospital admission in the cases, comparing it with the general unexposed VPA population (controls). RESULTS During the study period, 6183 PCR+ were detected among 281,035 inhabitants, of these, 746 were hospitalized. 691 patients were on VPA notAT and 628 (90.1%) AT. The indication for VPA use was epilepsy in 54.9%. The incidence of PCR+ was 1.736% (OR 0.785 (95%CI 0.443-1.390) and 1.910% (OR 0.865 (95%CI 0.488-1.533), on VPA notAT and VPA AT patients, respectively vs. 2.201% in people without VPA regimen. Those patients with VPA ATR had a lower risk of PCR + (OR 0.233 (95%CI 0.057-0.951) notAT; OR 0.218 (95%CI 0.053-0.890) AT). Hospital admission incidence was lower in patient on VPA (OR was 0.543 (95% CI 0.076-3.871). CONCLUSION Patients with VPA within the therapeutic range had a reduction of SARS-Cov-2 infection incidence greater than 75%. There is a downward trend in the risk of COVID-19 admission by SARS-CoV-2 in patients on VPA therapy. These findings warrant further investigation.
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Affiliation(s)
- O Moreno-Pérez
- Endocrinology and Nutrition department, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain; Clinical Medicine Department, Miguel Hernández University, Elche, Spain
| | - E Merino
- Unit of Infectious Diseases, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain.
| | - J Manuel Ramos
- Internal Medicine Department, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain; Clinical Medicine Department, Miguel Hernández University, Elche, Spain
| | - J Carlos Rodríguez
- Microbiology Department, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain; Miguel Hernández University, Elche, Spain
| | - C Diaz
- Neurology Department, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain; Clinical Medicine Department, Miguel Hernández University, Elche, Spain
| | - P Mas
- Pharmacy Department, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain
| | - S Reus
- Unit of Infectious Diseases, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain; Clinical Medicine Department, Miguel Hernández University, Elche, Spain
| | - R Sánchez-Martínez
- Internal Medicine department, Alicante General University Hospital - Alicante Institute of Sanitary and Biomedical Research (ISABIAL), Alicante, Spain
| | - V Boix
- Unit of Infectious Diseases, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain; Clinical Medicine Department, Miguel Hernández University, Elche, Spain
| | - P Chico-Sánchez
- Preventive Department, Alicante General University Hospital - Alicante Institute of Sanitary and Biomedical Research (ISABIAL), Alicante, Spain
| | - J Sánchez-Payá
- Preventive Department, Alicante General University Hospital - Alicante Institute of Sanitary and Biomedical Research (ISABIAL), Alicante, Spain
| | - J Portilla
- Internal Medicine Department, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain; Clinical Medicine Department, Miguel Hernández University, Elche, Spain
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Lou D, Song Y, Li D, Shi Y, Wang B, Yang L. COVID-19 vaccination uptake in children with epilepsy and vaccine hesitancy among their parents: a survey. Eur J Pediatr 2024; 183:2763-2768. [PMID: 38558312 DOI: 10.1007/s00431-024-05537-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 03/20/2024] [Accepted: 03/21/2024] [Indexed: 04/04/2024]
Abstract
This study explored the coronavirus disease 2019 (COVID-19) vaccination coverage among children with epilepsy (CwE), factors affecting vaccination coverage, and the effect of COVID-19 vaccines on epilepsy after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. A questionnaire was administered to CwE and their parents at the Pediatric Neurology Clinic of the Second Affiliated Hospital of Xi'an Jiaotong University between December 12, 2022, and February 28, 2023. Data were analyzed using the t-tests, chi-square tests, and logistic regression. The analysis included 250 CwE who responded to the survey; of these, 152 (60.8%) had been vaccinated against COVID-19. COVID-19 vaccine hesitancy in parents whose CwE were not vaccinated was mostly due to concerns of vaccine-related exacerbation of seizures and of vaccine-related adverse reactions (44.30% and 41.90% of the respondents, respectively). Univariate analysis showed that vaccination and number of doses of vaccine did not affect seizure incidence within 1 month of SARS-CoV-2 infection. Logistic regression analysis showed that CwE below primary school age, and those taking two or more antiseizure medication (ASMs) were less likely to be vaccinated (p = 0.007). Conclusion: The primary reasons for vaccine hesitancy among parents of unvaccinated CwE were concerns regarding seizure exacerbation and adverse reactions following COVID-19 vaccination. CwE who were below primary school age and those who took two or more ASMs were less likely to be vaccinated. Addressing parents' concerns is necessary to build their confidence in COVID-19 vaccines and ensure that CwE are vaccinated. What is Known: • People with epilepsy have a higher risk of severe and fatal COVID-19 than those without epilepsy but, despite this, COVID-19 vaccination coverage is considerably lower in people with epilepsy than in people without epilepsy. What is New: • In unvaccinated children with epilepsy, the foremost reasons for COVID-19 vaccine hesitancy among parents were concerns about seizure exacerbation and vaccine-related adverse reactions. • Vaccination and number of doses of vaccine did not exacerbate seizures in children with epilepsy, those below primary school level and those taking two or more antiseizure medications were less likely to be vaccinated.
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Affiliation(s)
- Dandan Lou
- Department of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 Xiwu Road, Xincheng District, Xi'an, Shaanxi, 710004, People's Republic of China
| | - Ye Song
- Department of Pediatrics, The First Affiliated Hospital of Air Force Medical University, Xi'an, People's Republic of China
| | - Dan Li
- Department of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 Xiwu Road, Xincheng District, Xi'an, Shaanxi, 710004, People's Republic of China
| | - Yongjin Shi
- Department of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 Xiwu Road, Xincheng District, Xi'an, Shaanxi, 710004, People's Republic of China
| | - Bo Wang
- Department of Pediatrics, Xi'an Gaoxin Hospital, Xi'an, People's Republic of China
| | - Lin Yang
- Department of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 Xiwu Road, Xincheng District, Xi'an, Shaanxi, 710004, People's Republic of China.
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3
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Delazer L, Pressler N, Balestrini S, Xiao F, Clayton LM, Anders‐Cannon J, Salvatierra R, Henry I, Sisodiya SM, Sander JW, Koepp MJ. COVID-19 response in a long-term care facility for people with epilepsy. Epilepsia Open 2024; 9:1059-1066. [PMID: 38593277 PMCID: PMC11145605 DOI: 10.1002/epi4.12940] [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: 02/10/2024] [Revised: 03/09/2024] [Accepted: 04/01/2024] [Indexed: 04/11/2024] Open
Abstract
OBJECTIVE To assess asymptomatic rates and severity of SARS-CoV-2 infection in people with epilepsy and their healthcare workers in a long-term care facility which had implemented weekly surveillance testing between April 2020 and June 2022. METHODS Questionnaires focused on objective and subjective COVID-19 symptoms for people with epilepsy residing in and their healthcare workers at the Chalfont Centre for Epilepsy in June 2022. Demographic information, comorbidities, and seizure frequency were gathered from medical records. We also collected responses on objective and subjective COVID-19 symptoms from healthcare workers who participated in a prospective study assessing the reaction to COVID-19 vaccinations (SAFER). RESULTS Fifty-five out of 89 (62%) residents tested positive at least once on weekly PCR testing for SARS-CoV-2 during the period of interest; 20 of those (37%) were asymptomatic. In comparison, of those 63 healthcare workers who tested positive at least once on weekly testing during the same period, only four (6%) were asymptomatic. Of the 159 healthcare workers who also participated in the SAFER study, 41 tested positive at least once, and seven (17%) were completely asymptomatic during infection with SARS-CoV-2. SIGNIFICANCE People with epilepsy living in a long-term care facility were more likely to present with asymptomatic SARS-CoV-2 infections than healthcare workers at the same facility. Despite possible bias in the reporting of subjective symptoms due to management-by-proxy, there is no evidence that vulnerable people living in an epilepsy long-term care facility showed reduced resilience towards infections. PLAIN LANGUAGE SUMMARY People with epilepsy living in care home facilities had a surprisingly high degree of asymptomatic infections with SARS-CoV-2. Very few residents had severe or fatal outcomes. This is in stark contrast to the widely reported bad outcomes for people without epilepsy in other care homes. People with epilepsy reported significantly less symptoms than their healthcare workers. No changes in seizure frequency during or after infection were observed.
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Affiliation(s)
- Luisa Delazer
- Chalfont Centre for EpilepsyChalfont St Peter, BucksUK
- Department of Clinical & Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- Department of Neurology, Epilepsy CenterLudwig Maximilians UniversityMunichGermany
| | - Noah Pressler
- University of Nottingham, Medical SchoolNottinghamUK
| | - Simona Balestrini
- Chalfont Centre for EpilepsyChalfont St Peter, BucksUK
- Department of Clinical & Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- Neuroscience Department, Children's Hospital A. Meyer IRCSSUniversity of FlorenceFlorenceItaly
| | - Fenglai Xiao
- Chalfont Centre for EpilepsyChalfont St Peter, BucksUK
- Department of Clinical & Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- Department of Neurology, West China HospitalSichuan UniversityChengduChina
| | - Lisa M. Clayton
- Chalfont Centre for EpilepsyChalfont St Peter, BucksUK
- Department of Clinical & Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
| | | | | | - Ian Henry
- Chalfont Centre for EpilepsyChalfont St Peter, BucksUK
| | - Sanjay M. Sisodiya
- Chalfont Centre for EpilepsyChalfont St Peter, BucksUK
- Department of Clinical & Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
| | - Josemir W. Sander
- Chalfont Centre for EpilepsyChalfont St Peter, BucksUK
- Department of Clinical & Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- Department of Neurology, West China HospitalSichuan UniversityChengduChina
- Stichting Epilepsie Instellingen Nederland (SEIN)HeemstedeThe Netherlands
| | - Matthias J. Koepp
- Chalfont Centre for EpilepsyChalfont St Peter, BucksUK
- Department of Clinical & Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
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Hutch MR, Son J, Le TT, Hong C, Wang X, Shakeri Hossein Abad Z, Morris M, Gutiérrez-Sacristán A, Klann JG, Spiridou A, Batugo A, Bellazzi R, Benoit V, Bonzel CL, Bryant WA, Chiudinelli L, Cho K, Das P, González González T, Hanauer DA, Henderson DW, Ho YL, Loh NHW, Makoudjou A, Makwana S, Malovini A, Moal B, Mowery DL, Neuraz A, Samayamuthu MJ, Sanz Vidorreta FJ, Schriver ER, Schubert P, Talbert J, Tan ALM, Tan BWL, Tan BWQ, Tibollo V, Tippman P, Verdy G, Yuan W, Avillach P, Gehlenborg N, Omenn GS, Visweswaran S, Cai T, Luo Y, Xia Z. Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study. PLOS DIGITAL HEALTH 2024; 3:e0000484. [PMID: 38620037 PMCID: PMC11018281 DOI: 10.1371/journal.pdig.0000484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 03/06/2024] [Indexed: 04/17/2024]
Abstract
Few studies examining the patient outcomes of concurrent neurological manifestations during acute COVID-19 leveraged multinational cohorts of adults and children or distinguished between central and peripheral nervous system (CNS vs. PNS) involvement. Using a federated multinational network in which local clinicians and informatics experts curated the electronic health records data, we evaluated the risk of prolonged hospitalization and mortality in hospitalized COVID-19 patients from 21 healthcare systems across 7 countries. For adults, we used a federated learning approach whereby we ran Cox proportional hazard models locally at each healthcare system and performed a meta-analysis on the aggregated results to estimate the overall risk of adverse outcomes across our geographically diverse populations. For children, we reported descriptive statistics separately due to their low frequency of neurological involvement and poor outcomes. Among the 106,229 hospitalized COVID-19 patients (104,031 patients ≥18 years; 2,198 patients <18 years, January 2020-October 2021), 15,101 (14%) had at least one CNS diagnosis, while 2,788 (3%) had at least one PNS diagnosis. After controlling for demographics and pre-existing conditions, adults with CNS involvement had longer hospital stay (11 versus 6 days) and greater risk of (Hazard Ratio = 1.78) and faster time to death (12 versus 24 days) than patients with no neurological condition (NNC) during acute COVID-19 hospitalization. Adults with PNS involvement also had longer hospital stay but lower risk of mortality than the NNC group. Although children had a low frequency of neurological involvement during COVID-19 hospitalization, a substantially higher proportion of children with CNS involvement died compared to those with NNC (6% vs 1%). Overall, patients with concurrent CNS manifestation during acute COVID-19 hospitalization faced greater risks for adverse clinical outcomes than patients without any neurological diagnosis. Our global informatics framework using a federated approach (versus a centralized data collection approach) has utility for clinical discovery beyond COVID-19.
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Affiliation(s)
- Meghan R. Hutch
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Jiyeon Son
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Trang T. Le
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Chuan Hong
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, United States of America
| | - Xuan Wang
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, United States of America
| | - Zahra Shakeri Hossein Abad
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Michele Morris
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Alba Gutiérrez-Sacristán
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jeffrey G. Klann
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Anastasia Spiridou
- Digital Research, Informatics and Virtual Environments (DRIVE), Great Ormond Street Hospital for Children, London, United Kingdom
| | - Ashley Batugo
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Riccardo Bellazzi
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Vincent Benoit
- IT Department, Innovation & Data, APHP Greater Paris University Hospital, Paris, France
| | - Clara-Lea Bonzel
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - William A. Bryant
- Digital Research, Informatics and Virtual Environments (DRIVE), Great Ormond Street Hospital for Children, London, United Kingdom
| | - Lorenzo Chiudinelli
- UOC Ricerca, Innovazione e Brand reputation, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Kelly Cho
- Population Health and Data Science, VA Boston Healthcare System, Boston Massachusetts, United States of America
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston Massachusetts, United States of America
| | - Priyam Das
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | | | - David A. Hanauer
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, United States of America
| | - Darren W. Henderson
- Center for Clinical and Translational Science, University of Kentucky, Lexington, Kentucky, United States of America
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston Massachusetts, United States of America
| | - Ne Hooi Will Loh
- Department of Anaesthesia, National University Health System, Kent Ridge, Singapore
| | - Adeline Makoudjou
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Simran Makwana
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Alberto Malovini
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy
| | - Bertrand Moal
- IAM Unit, Bordeaux University Hospital, Bordeaux, France
| | - Danielle L. Mowery
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Antoine Neuraz
- Department of biomedical informatics, Hôpital Necker-Enfants Malade, Assistance Publique Hôpitaux de Paris (APHP), University of Paris, Paris, France
| | | | - Fernando J. Sanz Vidorreta
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
| | - Emily R. Schriver
- Data Analytics Center, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States of America
| | - Petra Schubert
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston Massachusetts, United States of America
| | - Jeffery Talbert
- Division of Biomedical Informatics, University of Kentucky, Lexington, Kentucky, United States of America
| | - Amelia L. M. Tan
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Byorn W. L. Tan
- Department of Medicine, National University Hospital, Singapore, Kent Ridge, Singapore
| | - Bryce W. Q. Tan
- Department of Medicine, National University Hospital, Singapore, Kent Ridge, Singapore
| | - Valentina Tibollo
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy
| | - Patric Tippman
- Institute of Medical Biometry and University of Freiburg, Medical Center, Freiburg, Germany
| | | | - William Yuan
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Paul Avillach
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Nils Gehlenborg
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Gilbert S. Omenn
- Departments of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics, Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | | | - Shyam Visweswaran
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Tianxi Cai
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Yuan Luo
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Zongqi Xia
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
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5
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Costa B, Vale N. Virus-Induced Epilepsy vs. Epilepsy Patients Acquiring Viral Infection: Unravelling the Complex Relationship for Precision Treatment. Int J Mol Sci 2024; 25:3730. [PMID: 38612542 PMCID: PMC11011490 DOI: 10.3390/ijms25073730] [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: 12/07/2023] [Revised: 01/04/2024] [Accepted: 03/25/2024] [Indexed: 04/14/2024] Open
Abstract
The intricate relationship between viruses and epilepsy involves a bidirectional interaction. Certain viruses can induce epilepsy by infecting the brain, leading to inflammation, damage, or abnormal electrical activity. Conversely, epilepsy patients may be more susceptible to viral infections due to factors, such as compromised immune systems, anticonvulsant drugs, or surgical interventions. Neuroinflammation, a common factor in both scenarios, exhibits onset, duration, intensity, and consequence variations. It can modulate epileptogenesis, increase seizure susceptibility, and impact anticonvulsant drug pharmacokinetics, immune system function, and brain physiology. Viral infections significantly impact the clinical management of epilepsy patients, necessitating a multidisciplinary approach encompassing diagnosis, prevention, and treatment of both conditions. We delved into the dual dynamics of viruses inducing epilepsy and epilepsy patients acquiring viruses, examining the unique features of each case. For virus-induced epilepsy, we specify virus types, elucidate mechanisms of epilepsy induction, emphasize neuroinflammation's impact, and analyze its effects on anticonvulsant drug pharmacokinetics. Conversely, in epilepsy patients acquiring viruses, we detail the acquired virus, its interaction with existing epilepsy, neuroinflammation effects, and changes in anticonvulsant drug pharmacokinetics. Understanding this interplay advances precision therapies for epilepsy during viral infections, providing mechanistic insights, identifying biomarkers and therapeutic targets, and supporting optimized dosing regimens. However, further studies are crucial to validate tools, discover new biomarkers and therapeutic targets, and evaluate targeted therapy safety and efficacy in diverse epilepsy and viral infection scenarios.
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Affiliation(s)
- Bárbara Costa
- PerMed Research Group, Center for Health Technology and Services Research (CINTESIS), Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal;
- CINTESIS@RISE, Faculty of Medicine, University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal
| | - Nuno Vale
- PerMed Research Group, Center for Health Technology and Services Research (CINTESIS), Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal;
- CINTESIS@RISE, Faculty of Medicine, University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal
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6
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Xu Q, Jiang S, Kang R, Wang Y, Zhang B, Tian J. Deciphering the molecular pathways underlying dopaminergic neuronal damage in Parkinson's disease associated with SARS-CoV-2 infection. Comput Biol Med 2024; 171:108200. [PMID: 38428099 DOI: 10.1016/j.compbiomed.2024.108200] [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: 08/10/2023] [Revised: 01/24/2024] [Accepted: 02/18/2024] [Indexed: 03/03/2024]
Abstract
BACKGROUND The COVID-19 pandemic caused by SARS-CoV-2 has led to significant global morbidity and mortality, with potential neurological consequences, such as Parkinson's disease (PD). However, the underlying mechanisms remain elusive. METHODS To address this critical question, we conducted an in-depth transcriptome analysis of dopaminergic (DA) neurons in both COVID-19 and PD patients. We identified common pathways and differentially expressed genes (DEGs), performed enrichment analysis, constructed protein‒protein interaction networks and gene regulatory networks, and employed machine learning methods to develop disease diagnosis and progression prediction models. To further substantiate our findings, we performed validation of hub genes using a single-cell sequencing dataset encompassing DA neurons from PD patients, as well as transcriptome sequencing of DA neurons from a mouse model of MPTP(1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine)-induced PD. Furthermore, a drug-protein interaction network was also created. RESULTS We gained detailed insights into biological functions and signaling pathways, including ion transport and synaptic signaling pathways. CD38 was identified as a potential key biomarker. Disease diagnosis and progression prediction models were specifically tailored for PD. Molecular docking simulations and molecular dynamics simulations were employed to predict potential therapeutic drugs, revealing that genistein holds significant promise for exerting dual therapeutic effects on both PD and COVID-19. CONCLUSIONS Our study provides innovative strategies for advancing PD-related research and treatment in the context of the ongoing COVID-19 pandemic by elucidating the common pathogenesis between COVID-19 and PD in DA neurons.
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Affiliation(s)
- Qiuhan Xu
- Department of Neurology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, People's Republic of China
| | - Sisi Jiang
- Department of Neurology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, People's Republic of China
| | - Ruiqing Kang
- Department of Neurology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, People's Republic of China
| | - Yiling Wang
- Department of Neurology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, People's Republic of China
| | - Baorong Zhang
- Department of Neurology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, People's Republic of China.
| | - Jun Tian
- Department of Neurology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, People's Republic of China.
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7
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Ufongene C, Van Hyfte G, Agarwal P, Goldstein J, Mathew B, Navis A, McCarthy L, Kwon CS, Gururangan K, Balchandani P, Marcuse L, Naasan G, Singh A, Young J, Charney A, Nadkarni G, Jette N, Blank LJ. Older adults with epilepsy and COVID-19: Outcomes in a multi-hospital health system. Seizure 2024; 114:33-39. [PMID: 38039805 PMCID: PMC10841585 DOI: 10.1016/j.seizure.2023.11.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 10/26/2023] [Accepted: 11/24/2023] [Indexed: 12/03/2023] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) is associated with high rates of mortality and morbidity in older adults, especially those with pre-existing conditions. There is little work investigating how neurological conditions affect older adults with COVID-19. We aimed to compare in-hospital outcomes, including mortality, in older adults with and without epilepsy. METHODS This retrospective study in a large multicenter New York health system included consecutive older patients (age ≥65 years) either with or without epilepsy who were admitted with COVID-19 between 3/2020-5/2021. Epilepsy was identified using a validated International Classification of Disease (ICD) and antiseizure medicationbased case definition. Univariate comparisons were calculated using Chi-square, Fisher's exact, Mann-Whitney U, or Student's t-tests. Multivariable logistic regression models were generated to examine factors associated with mortality, discharge disposition and length of stay (LOS). RESULTS We identified 5384 older adults admitted with COVID-19 of whom 173 (3.21 %) had epilepsy. Mean age was significantly lower in those with (75.44, standard deviation (SD): 7.23) compared to those without epilepsy (77.98, SD: 8.68, p = 0.007). Older adults with epilepsy were more likely to be ventilated (35.84 % vs. 16.18 %, p < 0.001), less likely to be discharged home (21.39 % vs. 43.12 %, p < 0.001), had longer median LOS (13 days vs. 8 days, p < 0.001), and had higher in-hospital death (35.84 % vs. 28.29 %, p = 0.030) compared to those without epilepsy. Epilepsy in older adults was associated with increased odds of in-hospital death (adjusted odds ratio (aOR), 1.55; 95 % CI 1.12-2.14, p = 0.032), non-routine discharge disposition (aOR, 3.34; 95 % CI 2.21-5.03, p < 0.001), and longer LOS (46.46 % 95 % CI 34 %-59 %, p < 0.001). CONCLUSIONS In models that adjusted for multiple confounders including comorbidity and age, our study found that epilepsy was still associated with higher in-hospital mortality, longer LOS and worse discharge dispositions in older adults with COVID-19 higher in-hospital mortality, longer LOS and worse discharge dispositions in older adults with COVID-19. This work reinforces that epilepsy is a risk factor for worse outcomes in older adults admitted with COVID-19. Timely identification and treatment of COVID-19 in epilepsy may improve outcomes in older people with epilepsy.
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Affiliation(s)
- Claire Ufongene
- Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, United States
| | - Grace Van Hyfte
- Department of Neurology, ISMMS, New York, NY, United States; Institute for HealthCare Delivery Science, Department of Population Health Science and Policy, ISMMS, New York, NY, United States
| | - Parul Agarwal
- Department of Neurology, ISMMS, New York, NY, United States; Institute for HealthCare Delivery Science, Department of Population Health Science and Policy, ISMMS, New York, NY, United States
| | - Jonathan Goldstein
- Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, United States
| | - Brian Mathew
- Department of Neurology, ISMMS, New York, NY, United States
| | - Allison Navis
- Department of Neurology, ISMMS, New York, NY, United States
| | | | - Churl-Su Kwon
- Department of Neurology, Epidemiology, Neurosurgery and the Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States
| | | | - Priti Balchandani
- BioMedical Engineering and Imaging Institute, ISMMS, New York, NY, United States
| | - Lara Marcuse
- Department of Neurology, ISMMS, New York, NY, United States
| | - Georges Naasan
- Department of Neurology, ISMMS, New York, NY, United States
| | - Anuradha Singh
- Department of Neurology, ISMMS, New York, NY, United States
| | - James Young
- Department of Neurology, ISMMS, New York, NY, United States
| | | | | | - Nathalie Jette
- Department of Neurology, ISMMS, New York, NY, United States; Institute for HealthCare Delivery Science, Department of Population Health Science and Policy, ISMMS, New York, NY, United States; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Leah J Blank
- Department of Neurology, ISMMS, New York, NY, United States; Institute for HealthCare Delivery Science, Department of Population Health Science and Policy, ISMMS, New York, NY, United States.
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8
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Fazlollahi A, Zahmatyar M, Shamekh A, Motamedi A, Seyedi F, Seyedmirzaei H, Mousavi SE, Nejadghaderi SA, Sullman MJM, Kolahi AA, Arshi S, Safiri S. Electroencephalographic findings post-COVID-19 vaccination: A systematic review of case reports and case series. Rev Med Virol 2023; 33:e2484. [PMID: 37807809 DOI: 10.1002/rmv.2484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/14/2023] [Accepted: 09/20/2023] [Indexed: 10/10/2023]
Abstract
A number of different neurological complications have been reported following vaccination against the coronavirus disease 2019 (COVID-19). Electroencephalogram (EEG) is one of the modalities used to evaluate the neurological complications of diseases. The aim of the present study was to identify the EEG changes in participants vaccinated against COVID-19. PubMed, Scopus, Web of Science, medRxiv, and Google Scholar were searched up to 1 September 2022, with terms related to COVID-19 vaccines, EEG, neurological signs/symptoms, or neurological disorders. All case reports and case series were included if the participants had received at least one dose of a COVID-19 vaccine and a post vaccination EEG report was also reported. We used the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for case reports and case series to appraise the methodological quality of the included studies. Thirty-one studies were included, which were comprised of 24 case reports and seven case series and a total of 36 participants. Generalised slowing and non-convulsive focal status epilepticus were the most common EEG findings post-COVID-19 vaccination. The most frequent symptoms were headache, fatigue, generalised weakness, and vomiting. In addition, the most common signs were encephalopathy, post-ictal phases, and confusion. Encephalitis, acute disseminated encephalomyelitis, and post-vaccinal encephalopathy were the most commonly diagnosed adverse events. Furthermore, most of the imaging studies appeared normal. The EEG reports mainly showed background slowing and epileptiform discharges, encephalitis, encephalopathies, and demyelinating disorders. Future studies with larger samples and more vaccine types may help to further unravel the potential neurological effects of COVID-19 vaccinations on recipients.
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Affiliation(s)
- Asra Fazlollahi
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
- Neurosciences Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mahdi Zahmatyar
- Neurosciences Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ali Shamekh
- Neurosciences Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Alireza Motamedi
- Neurosciences Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Fatemeh Seyedi
- Neurosciences Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Homa Seyedmirzaei
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Interdisciplinary Neuroscience Research Program (INRP), Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed Ehsan Mousavi
- Neurosciences Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
- Tuberculosis and Lung Diseases Research Centre, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Seyed Aria Nejadghaderi
- Endocrinology and Metabolism Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran
- Systematic Review and Meta-analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Mark J M Sullman
- Department of Life and Health Sciences, University of Nicosia, Nicosia, Cyprus
- Department of Social Sciences, University of Nicosia, Nicosia, Cyprus
| | - Ali-Asghar Kolahi
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Shahnam Arshi
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saeid Safiri
- Neurosciences Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
- Clinical Research Development Unit of Tabriz Valiasr Hospital, Tabriz University of Medical Sciences, Tabriz, Iran
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9
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Ufongene C, Van Hyfte G, Agarwal P, Blank LJ, Goldstein J, Mathew B, Lin JY, Navis A, McCarthy L, Gururangan K, Peschansky V, Kwon CS, Cohen A, Chan AHW, Dhamoon M, Deng P, Gutzwiller EM, Hao Q, He C, Heredia Nunez WD, Klenofsky B, Lemus HN, Marcuse L, Roberts M, Schorr EM, Singh A, Tantillo G, Young J, Balchandani P, Festa J, Naasan G, Charney A, Nadkarni G, Jetté N. In-hospital outcomes in patients with and without epilepsy diagnosed with COVID-19-A cohort study. Epilepsia 2023; 64:2725-2737. [PMID: 37452760 DOI: 10.1111/epi.17715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 07/07/2023] [Accepted: 07/07/2023] [Indexed: 07/18/2023]
Abstract
OBJECTIVES Coronavirus disease 2019 (COVID-19) is associated with mortality in persons with comorbidities. The aim of this study was to evaluate in-hospital outcomes in patients with COVID-19 with and without epilepsy. METHODS We conducted a retrospective study of patients with COVID-19 admitted to a multicenter health system between March 15, 2020, and May 17, 2021. Patients with epilepsy were identified using a validated International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM)/ICD-10-CM case definition. Logistic regression models and Kaplan-Meier analyses were conducted for mortality and non-routine discharges (i.e., not discharged home). An ordinary least-squares regression model was fitted for length of stay (LOS). RESULTS We identified 9833 people with COVID-19 including 334 with epilepsy. On univariate analysis, people with epilepsy had significantly higher ventilator use (37.70% vs 14.30%, p < .001), intensive care unit (ICU) admissions (39.20% vs 17.70%, p < .001) mortality rate (29.60% vs 19.90%, p < .001), and longer LOS (12 days vs 7 days, p < .001). and fewer were discharged home (29.64% vs 57.37%, p < .001). On multivariate analysis, only non-routine discharge (adjusted odds ratio [aOR] 2.70, 95% confidence interval [CI] 2.00-3.70; p < .001) and LOS (32.50% longer, 95% CI 22.20%-43.60%; p < .001) were significantly different. Factors associated with higher odds of mortality in epilepsy were older age (aOR 1.05, 95% CI 1.03-1.08; p < .001), ventilator support (aOR 7.18, 95% CI 3.12-16.48; p < .001), and higher Charlson comorbidity index (CCI) (aOR 1.18, 95% CI 1.04-1.34; p = .010). In epilepsy, admissions between August and December 2020 or January and May 2021 were associated with a lower odds of non-routine discharge and decreased LOS compared to admissions between March and July 2020, but this difference was not statistically significant. SIGNIFICANCE People with COVID-19 who had epilepsy had a higher odds of non-routine discharge and longer LOS but not higher mortality. Older age (≥65), ventilator use, and higher CCI were associated with COVID-19 mortality in epilepsy. This suggests that older adults with epilepsy and multimorbidity are more vulnerable than those without and should be monitored closely in the setting of COVID-19.
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Affiliation(s)
- Claire Ufongene
- Icahn School of Medicine at Mount Sinai (ISMMS), New York, New York, USA
| | - Grace Van Hyfte
- Institute for HealthCare Delivery Science, Department of Population Health Science and Policy, ISMMS, New York, New York, USA
| | - Parul Agarwal
- Institute for HealthCare Delivery Science, Department of Population Health Science and Policy, ISMMS, New York, New York, USA
- Department of Neurology, ISMMS, New York, New York, USA
| | - Leah J Blank
- Institute for HealthCare Delivery Science, Department of Population Health Science and Policy, ISMMS, New York, New York, USA
- Department of Neurology, ISMMS, New York, New York, USA
| | - Jonathan Goldstein
- Icahn School of Medicine at Mount Sinai (ISMMS), New York, New York, USA
| | - Brian Mathew
- Department of Neurology, ISMMS, New York, New York, USA
| | - Jung-Yi Lin
- Institute for HealthCare Delivery Science, Department of Population Health Science and Policy, ISMMS, New York, New York, USA
| | - Allison Navis
- Department of Neurology, ISMMS, New York, New York, USA
| | | | | | - Veronica Peschansky
- Department of Neurology, ISMMS, New York, New York, USA
- Department of Neurology, Columbia University, New York, New York, USA
| | - Churl-Su Kwon
- Department of Neurology, Columbia University, New York, New York, USA
- Department of Neurosurgery, Epidemiology, and the Gertrude H. Sergievsky Center, Columbia University, New York, New York, USA
| | - Ariella Cohen
- Icahn School of Medicine at Mount Sinai (ISMMS), New York, New York, USA
| | | | | | - Pojen Deng
- Department of Neurology, ISMMS, New York, New York, USA
| | | | - Qing Hao
- Department of Neurology, ISMMS, New York, New York, USA
| | - Celestine He
- Icahn School of Medicine at Mount Sinai (ISMMS), New York, New York, USA
| | | | | | | | - Lara Marcuse
- Department of Neurology, ISMMS, New York, New York, USA
| | | | - Emily M Schorr
- Division of Neuroimmunology and Neuroinfectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Gabriela Tantillo
- Department of Neurology, Baylor College of Medicine, Houston, Texas, USA
| | - James Young
- Department of Neurology, ISMMS, New York, New York, USA
| | - Priti Balchandani
- BioMedical Engineering and Imaging Institute, ISMMS, New York, New York, USA
| | - Joanne Festa
- Department of Neurology, ISMMS, New York, New York, USA
- The Barbara and Maurice Deane Center for Wellness and Cognitive Health, Mount Sinai, New York, New York, USA
| | - Georges Naasan
- Department of Neurology, ISMMS, New York, New York, USA
- The Barbara and Maurice Deane Center for Wellness and Cognitive Health, Mount Sinai, New York, New York, USA
| | - Alexander Charney
- Department of Psychiatry, ISMMS, New York, New York, USA
- Department of Genetics and Genomic Sciences, ISMMS, New York, New York, USA
| | | | - Nathalie Jetté
- Institute for HealthCare Delivery Science, Department of Population Health Science and Policy, ISMMS, New York, New York, USA
- Department of Neurology, ISMMS, New York, New York, USA
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
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10
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Chi M, Heutlinger O, Heffernan C, Sanger T, Marano R, Feaster W, Taraman S, Ehwerhemuepha L. Chronic Neurological Disorders and Predisposition to Severe COVID-19 in Pediatric Patients in the United States. Pediatr Neurol 2023; 147:130-138. [PMID: 37611407 DOI: 10.1016/j.pediatrneurol.2023.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 07/12/2023] [Accepted: 07/17/2023] [Indexed: 08/25/2023]
Abstract
BACKGROUND We investigated the association between chronic pediatric neurological conditions and the severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS This matched retrospective case-control study includes patients (n = 71,656) with chronic complex neurological disorders under 18 years of age, with laboratory-confirmed diagnosis of COVID-19 or a diagnostic code indicating infection or exposure to SARS-CoV-2, from 103 health systems in the United States. The primary outcome was the severity of coronavirus disease 2019 (COVID-19), which was classified as severe (invasive oxygen therapy or death), moderate (noninvasive oxygen therapy), or mild/asymptomatic (no oxygen therapy). A cumulative link mixed effects model was used for this study. RESULTS In this study, a cumulative link mixed effects model (random intercepts for health systems and patients) showed that the following classes of chronic neurological disorders were associated with higher odds of severe COVID-19: muscular dystrophies and myopathies (OR = 3.22; 95% confidence interval [CI]: 2.73 to 3.84), chronic central nervous system disorders (OR = 2.82; 95% CI: 2.67 to 2.97), cerebral palsy (OR = 1.97; 95% CI: 1.85 to 2.10), congenital neurological disorders (OR = 1.86; 95% CI: 1.75 to 1.96), epilepsy (OR = 1.35; 95% CI: 1.26 to 1.44), and intellectual developmental disorders (OR = 1.09; 95% CI: 1.003 to 1.19). Movement disorders were associated with lower odds of severe COVID-19 (OR = 0.90; 95% CI: 0.81 to 0.99). CONCLUSIONS Pediatric patients with chronic neurological disorders are at higher odds of severe COVID-19. Movement disorders were associated with lower odds of severe COVID-19.
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Affiliation(s)
- Megan Chi
- Children's Health of Orange County, Orange, California; Liberty University College of Osteopathic Medicine, Lynchburg, Virginia
| | - Olivia Heutlinger
- University of California-Irvine School of Medicine, Irvine, California
| | - Carly Heffernan
- University of California-Irvine School of Medicine, Irvine, California
| | - Terence Sanger
- Children's Health of Orange County, Orange, California; University of California-Irvine School of Medicine, Irvine, California
| | - Rachel Marano
- Children's Health of Orange County, Orange, California
| | | | - Sharief Taraman
- Children's Health of Orange County, Orange, California; University of California-Irvine School of Medicine, Irvine, California
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11
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You M, Yuan P, Li L, Li B, Peng Z, Xu H. The association between epilepsy and COVID-19: analysis based on Mendelian randomization and FUMA. Front Neurosci 2023; 17:1235822. [PMID: 37781245 PMCID: PMC10540302 DOI: 10.3389/fnins.2023.1235822] [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: 06/06/2023] [Accepted: 08/28/2023] [Indexed: 10/03/2023] Open
Abstract
Objective A multitude of observational studies have underscored a substantial comorbidity between COVID-19 and epilepsy. This study was aimed at establishing a conclusive causal link between these two conditions. Methods We employed Mendelian randomization (MR) to evaluate the causal link between COVID-19 and epilepsy, as well as its focal and generalized subtypes. The GWAS for epilepsy and its subtypes database were abstracted from both FinnGen consortium and ILAE. Additionally, we leveraged functional mapping and annotation (FUMA) to integrate information from genome-wide association studies (GWAS) results. Results The MR analyses revealed that genetic liability to COVID-19 infection conferred a causal effect on epilepsy [FinnGen: OR: 1.5306; 95% confidence interval (CI): 1.1676-2.0062, PFDR (false discovery rate) = 0.0076; ILAE: OR: 1.3440; 95% CI: 1.0235-1.7649, PFDR = 0.0429], and generalized epilepsy (FinnGen: OR: 2.1155; 95% CI: 1.1734-3.8139, PFDR = 0.0327; ILAE: OR: 1.1245; 95% CI: 1.0444-1.2108, PFDR = 0.0114). Genetic liability to COVID-19 hospitalization conferred a causal effect on epilepsy (FinnGen: OR: 1.0934; 95% CI: 1.0097-1.1841, PFDR = 0.0422; ILAE: OR: 1.7381; 95% CI: 1.0467-2.8862, PFDR = 0.0451), focal epilepsy (ILAE: OR: 1.7549; 95% CI: 1.1063-2.7838, PFDR = 0.0338), and generalized epilepsy (ILAE: OR: 1.1827; 95% CI: 1.0215-1.3693, PFDR = 0.0406). Genetic liability to COVID-19 severity conferred a causal effect on epilepsy (FinnGen consortium: OR: 1.2454; 95% CI: 1.0850-1.4295, PFDR = 0.0162; ILAE: OR: 1.2724; 95% CI: 1.0347-1.5647, PFDR = 0.0403), focal epilepsy (FinnGen: OR: 1.6818; 95% CI: 1.1478-2.4642, PFDR = 0.0231; ILAE: OR: 1.6598; 95% CI: 1.2572-2.1914, PFDR = 0.0054), and generalized epilepsy (FinnGen: OR: 1.1486; 95% CI: 1.0274-1.2842, PFDR = 0.0335; ILAE: OR: 1.0439; 95% CI: 1.0159-1.0728, PFDR = 0.0086). In contrast, no causal linkage of epilepsy on COVID-19 was observed. Further, FUMA analysis identified six overlapping genes, including SMEK2, PNPT1, EFEMP1, CCDC85A, VRK2, and BCL11A, shared between COVID-19 and epilepsy. Tissue-specific expression analyses revealed that the disease-gene associations of COVID-19 were significantly enriched in lung, ovary, and spleen tissue compartments, while being significantly enriched in brain tissue for epilepsy. Conclusion Our study demonstrates that COVID-19 can be a contributing factor to epilepsy, but we found no evidence that epilepsy contributes to COVID-19.
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Affiliation(s)
| | | | | | | | | | - Hongbei Xu
- Department of Neurology, The Affiliated Hospital of Guizhou Medical University, Guizhou, China
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12
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Rafati A, Jameie M, Amanollahi M, Jameie M, Pasebani Y, Sakhaei D, Ilkhani S, Rashedi S, Pasebani MY, Azadi M, Rahimlou M, Kwon CS. Association of seizure with COVID-19 vaccines in persons with epilepsy: A systematic review and meta-analysis. J Med Virol 2023; 95:e29118. [PMID: 37732629 DOI: 10.1002/jmv.29118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/28/2023] [Accepted: 09/12/2023] [Indexed: 09/22/2023]
Abstract
Seizure aggravation following coronavirus disease 2019 (COVID-19) vaccines is a major cause behind vaccine hesitancy among persons with epilepsy (PwE), resulting in lower immunization rates. We systematically reviewed seizure-activity-related events in PwE following COVID-19 vaccination. We systematically searched PubMed, Web of Science, Scopus, and Cochrane Library, until January 31, 2023, and included articles reporting seizure activity-related events in PwE receiving COVID-19 vaccination. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses were followed. The protocol was registered with PROSPERO (CRD42022312475). Outcomes included pooled incidence proportions of (a) increased seizure frequency, (b) status epilepticus (SE), and (c) change in seizure type. Of the 2207 studies, 16 entered the meta-analysis. The pooled incidence proportion of increased seizure frequency (16 studies-3245 PwE) was 5% (95% CI: 3%-7%, I2 = 52%). Regarding increased seizure frequency, no significant difference was observed between mRNA and viral vector (OR: 1.11, 95% CI: 0.49-2.52, I2 = 0%), and between mRNA and inactivated virus (OR: 1.60, 95% CI: 0.27-9.37; I2 = 0%). The pooled incidence proportion of SE (15 studies-2387 PwE) was 0.08% (95% CI: 0.02%-0.33%, I2 = 0%). Ultimately, the pooled incidence proportion of change in seizure type (7 studies-1172 PwE) was 1% (95% CI: 1%-2%, I2 = 0%). The meta-analysis revealed post-COVID-19-vaccination increased seizure frequency in 5% of PwE, with no difference between mRNA and viral vector or inactivated virus vaccines. Furthermore, we found 0.08% and 1% incidence proportions for postvaccination SE and change in seizure type, respectively. While noteworthy, these values are far less than reports for COVID-19 infection, emphasizing vaccination importance in preventing COVID-19 consequences in PwE.
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Affiliation(s)
- Ali Rafati
- School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Melika Jameie
- Neuroscience Research Center, Iran University of Medical Sciences, Tehran, Iran
- Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mobina Amanollahi
- Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mana Jameie
- Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Yeganeh Pasebani
- School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Delaram Sakhaei
- School of Medicine, Sari Branch, Islamic Azad University, Sari, Iran
| | - Saba Ilkhani
- Center for Surgery and Public Health, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Sina Rashedi
- Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | | | - Mehran Rahimlou
- Department of Nutrition, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Churl-Su Kwon
- Departments of Neurology, Epidemiology, Neurosurgery, The Gertrude H. Sergievsky Center, Columbia University, New York, New York, USA
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13
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Yang Y, Lv J, He C, Shen C, Xu S, Guo Y, Ding Y, Zheng Z, Zhu J, Wang S, Ding M, Wang S. Predictors and prevalence of COVID-19 vaccination in patients with focal epilepsy following resection surgery. Epilepsy Behav 2023; 145:109344. [PMID: 37459719 DOI: 10.1016/j.yebeh.2023.109344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 06/23/2023] [Accepted: 06/25/2023] [Indexed: 08/06/2023]
Abstract
BACKGROUND AND PURPOSE In light of the ongoing COVID-19 pandemic, vaccination has emerged as the primary and most effective solution. The aim of this study was to examine compliance rates of vaccination and explore the factors that predict vaccine uptake among patients with epilepsy (PWE) who have undergone resection surgery. METHOD To examine the variations in vaccination coverage, safety concerns, and factors influencing vaccination hesitancy among PWE who have undergone resection surgery, this study recruited patients with at least one-year follow-up. We utilized questionnaires to gather clinical characteristics and obtain information regarding COVID-19 vaccines. RESULTS Among the 303 patients included in the study, a majority of 229 (75.58%) achieved a seizure-free outcome (Engel Ia). Of these patients, 178 (58.75%) received at least one dose of COVID-19 vaccine, and the vaccination rate has remained relatively consistent over the past six months. Nearly 94.95% of those who received the vaccine completed the full vaccination regimen, with the majority (n = 174, 97.75%) opting for an inactivated vaccine. Only three patients reported side effects unrelated to epilepsy, and one patient experienced a worsening of typical aura seizures within one month after vaccination. Notably, significant positive associations were observed between COVID-19 vaccine acceptance and adulthood (age 18 years or older) (OR = 1.820, 95% CI = 1.018-3.252, p = 0.043) as well as achieving a seizure-free outcome (OR = 2.823, 95% CI = 1.619-4.921, p < 0.001). Regarding the unvaccinated patients, approximately one-fifth expressed willingness to receive a future COVID-19 vaccine, while the remainder were hesitant (41.60%) or unsure (39.20%) about vaccination. These reservations mainly stemmed from concerns about the potential worsening of seizures and vaccine safety. CONCLUSIONS Inactivated vaccines can be considered safe for individuals with epilepsy who have undergone resection surgery. The likelihood of being vaccinated was found to be comparatively higher among the cohort with seizure-free status or adults. To promote COVID-19 vaccination among children, it is crucial to implement comprehensive education and public awareness campaigns that emphasize the safety of vaccines. These efforts will help encourage widespread acceptance of vaccination and ensure the well-being of individuals with epilepsy.
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Affiliation(s)
- Yuyu Yang
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jin Lv
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Chenmin He
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Chunhong Shen
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Sha Xu
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yi Guo
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yao Ding
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Zhe Zheng
- Epilepsy Center, Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Junming Zhu
- Epilepsy Center, Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shuang Wang
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Meiping Ding
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
| | - Shan Wang
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
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14
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Boruah AP, Heydari K, Wapniarski AE, Caldwell M, Thakur KT. Neurological Considerations with COVID-19 Vaccinations. Semin Neurol 2023. [PMID: 37094803 DOI: 10.1055/s-0043-1767725] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
The benefits of coronavirus disease 2019 (COVID-19) vaccination significantly outweigh its risks on a public health scale, and vaccination has been crucial in controlling the spread of SARS-CoV-2. Nonetheless, several reports of adverse events following vaccination have been published.To summarize reports to date and assess the extent and quality of evidence regarding possible serious adverse neurological events following COVID-19 vaccination, focusing on Food and Drug Administration (FDA)-approved vaccines in the United States (BNT162b2, mRNA-1273, and Ad26.COV2.S).A review of literature from five major electronic databases (PubMed, Medline, Embase, Cochrane Library, and Google Scholar) was conducted between December 1, 2020 and June 5, 2022. Articles included in the review were systematic reviews and meta-analysis, cohort studies, retrospective studies, case-control studies, case series, and reports. Editorials, letters, and animal studies were excluded, since these studies did not include quantitative data regarding adverse side effects of vaccination in human subjects.Of 149 total articles and 97 (65%) were case reports or case series. Three phase 3 trials initially conducted for BNT162b2, MRNA-1273, and Ad26.COV2.S were included in the analysis.The amount and quality of evidence for possible neurological adverse events in the context of FDA-approved COVID-19 vaccinations is overall low tier. The current body of evidence continues to suggest that COVID-19 vaccinations have a high neurological safety profile; however, the risks and benefits of vaccination must continue to be closely monitored.
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Affiliation(s)
- Abhilasha P Boruah
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY
- Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Kimia Heydari
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY
| | - Anne E Wapniarski
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY
| | - Marissa Caldwell
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY
| | - Kiran T Thakur
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY
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15
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Kobau R, Luncheon C, Pastula DM, Greenlund KJ. COVID-19 vaccination status and related process of care outcomes among U.S. adults with active epilepsy-National Health Interview Survey, United States, 2021. Epilepsy Behav 2023; 143:109223. [PMID: 37119577 PMCID: PMC10103765 DOI: 10.1016/j.yebeh.2023.109223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 04/06/2023] [Accepted: 04/07/2023] [Indexed: 05/01/2023]
Abstract
Growing research has examined the effects of the COVID-19 pandemic on people with epilepsy. There are no published national estimates of COVID-19 vaccination status among U.S. adults with active epilepsy. The purpose of this study is to use 2021 National Health Interview Survey (NHIS) data to examine select COVID-19-related outcomes by epilepsy status in a nationally representative sample of US adults. The study sample met the criteria for operationalization of epilepsy status (i.e., active epilepsy vs. no epilepsy history) and select questions related to COVID-19 testing, vaccination, delays in care, or experience with virtual care during the COVID-19 pandemic. All analyses accounted for the NHIS complex sample design and response sampling weights. Our study found that in 2021 receipt of one COVID-19 vaccination among U.S. adults with active epilepsy was generally similar to that among adults without a history of epilepsy. By age, adults aged 18-44 years with active epilepsy (27.0%) were significantly less likely to have reported receiving two COVID-19 vaccinations compared with their peers with no epilepsy history (39.1%). Compared to adults with no epilepsy history, adults with active epilepsy reported similar experiences and outcomes regarding COVID-19 testing and obtaining health care during the COVID-19 pandemic. This study provides baseline estimates of select COVID-19 outcomes among US adults with active epilepsy to guide interventions and additional studies.
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Affiliation(s)
- Rosemarie Kobau
- Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health, 4770 Buford Highway NE, MS 107-6, Atlanta, GA 30341, United States.
| | - Cecily Luncheon
- ASRT, Inc. Epilepsy Program, Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention (CDC), Mail Stop 107-6, 4770 Buford Hwy, 30341 GA, United States
| | - Daniel M Pastula
- University of Colorado School of Medicine, 12700 E 19th Ave, Mailstop B182, Aurora, CO 80045, United States; Colorado School of Public Health, Department of Epidemiology, CU Anschutz Fitzsimons Building, 13001 East 17(th) Place, Mail Stop B119, Aurora, CO 80045, United States
| | - Kurt J Greenlund
- Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health, 4770 Buford Highway NE, MS 107-6, Atlanta, GA 30341, United States
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Park JM, Woo W, Lee SC, Park S, Yon DK, Lee SW, Smith L, Koyanagi A, Shin JI, Kim YW. Prevalence and Mortality Risk of Neurological Disorders during the COVID-19 Pandemic: An Umbrella Review of the Current Evidence. Neuroepidemiology 2023; 57:129-147. [PMID: 37044073 DOI: 10.1159/000530536] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 03/22/2023] [Indexed: 04/14/2023] Open
Abstract
INTRODUCTION Coronavirus disease 2019 (COVID-19), a global pandemic, has infected approximately 10% of the world's population. This comprehensive review aimed to determine the prevalence of various neurological disorders in COVID-19 without overlapping meta-analysis errors. METHODS We searched for meta-analyses on neurological disorders following COVID-19 published up to March 14, 2023. We obtained 1,184 studies, of which 44 meta-analyses involving 9,228,588 COVID-19 patients were finally included. After confirming the forest plot of each study and removing overlapping individual studies, a re-meta-analysis was performed using the random-effects model. RESULTS The summarized combined prevalence of each neurological disorder is as follows: stroke 3.39% (95% confidence interval, 1.50-5.27), dementia 6.41% (1.36-11.46), multiple sclerosis 4.00% (2.50-5.00), epilepsy 5.36% (-0.60-11.32), Parkinson's disease 0.67% (-1.11-2.45), encephalitis 0.66% (-0.44-1.77), and Guillain-Barré syndrome 3.83% (-0.13-7.80). In addition, the mortality risk of patients with comorbidities of COVID-19 is as follows: stroke OR 1.63 (1.23-2.03), epilepsy OR 1.71 (1.00-2.42), dementia OR 1.90 (1.31-2.48), Parkinson's disease OR 3.94 (-2.12-10.01). CONCLUSION Our results show that the prevalence and mortality risk may increase in some neurological diseases during the COVID-19 pandemic. Future studies should elucidate the precise mechanisms for the link between COVID-19 and neurological diseases, determine which patient characteristics predispose them to neurological diseases, and consider potential global patient management.
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Affiliation(s)
- Jong Mi Park
- Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Wongi Woo
- Department of Thoracic and Cardiovascular Surgery, Gangnam Severance Hospital, Seoul, Republic of Korea
| | - Sang Chul Lee
- Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seoyeon Park
- Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Seung Won Lee
- Department of Data Science, Sejong University College of Software Convergence, Seoul, Republic of Korea
- Sungkyunkwan University School of Medicine, Suwon, Republic of Korea
| | - Lee Smith
- Centre for Health, Performance, and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Ai Koyanagi
- Parc Sanitari Sant Joan de Deu/CIBERSAM, ISCIII, Universitat de Barcelona, Fundacio Sant Joan de Deu, Sant Boi de Llobregat, Barcelona, Spain
- ICREA, Pg. Lluis Companys 23, Barcelona, Spain
| | - Jae Il Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yong Wook Kim
- Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
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Su N, Donders MCHCM, Ho JPTF, Vespasiano V, de Lange J, Loos BG. Development and external validation of prediction models for critical outcomes of unvaccinated COVID-19 patients based on demographics, medical conditions and dental status. Heliyon 2023; 9:e15283. [PMID: 37064437 PMCID: PMC10084632 DOI: 10.1016/j.heliyon.2023.e15283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 03/18/2023] [Accepted: 03/31/2023] [Indexed: 04/18/2023] Open
Abstract
Background Multiple prediction models were developed for critical outcomes of COVID-19. However, prediction models using predictors which can be easily obtained in clinical practice and on dental status are scarce. Aim The study aimed to develop and externally validate prediction models for critical outcomes of COVID-19 for unvaccinated adult patients in hospital settings based on demographics, medical conditions, and dental status. Methods A total of 285 and 352 patients from two hospitals in the Netherlands were retrospectively included as derivation and validation cohorts. Demographics, medical conditions, and dental status were considered potential predictors. The critical outcomes (death and ICU admission) were considered endpoints. Logistic regression analyses were used to develop two models: for death alone and for critical outcomes. The performance and clinical values of the models were determined in both cohorts. Results Age, number of teeth, chronic kidney disease, hypertension, diabetes, and chronic obstructive pulmonary diseases were the significant independent predictors. The models showed good to excellent calibration with observed: expected (O:E) ratios of 0.98 (95%CI: 0.76 to 1.25) and 1.00 (95%CI: 0.80 to 1.24), and discrimination with shrunken area under the curve (AUC) values of 0.85 and 0.79, based on the derivation cohort. In the validation cohort, the models showed good to excellent discrimination with AUC values of 0.85 (95%CI: 0.80 to 0.90) and 0.78 (95%CI: 0.73 to 0.83), but an overestimation in calibration with O:E ratios of 0.65 (95%CI: 0.49 to 0.85) and 0.67 (95%CI: 0.52 to 0.84). Conclusion The performance of the models was acceptable in both derivation and validation cohorts. Number of teeth was an additive important predictor of critical outcomes of COVID-19. It is an easy-to-apply tool in hospitals for risk stratification of COVID-19 prognosis.
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Affiliation(s)
- Naichuan Su
- Department of Oral Public Health, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Marie-Chris H C M Donders
- Department of Oral and Maxillofacial Surgery, Amsterdam UMC, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam, Amsterdam, the Netherlands
- Department of Oral and Maxillofacial Surgery, Isala Zwolle, Zwolle, the Netherlands
| | - Jean-Pierre T F Ho
- Department of Oral and Maxillofacial Surgery, Amsterdam UMC, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam, Amsterdam, the Netherlands
- Department of Oral and Maxillofacial Surgery, Northwest Clinics, Alkmaar, the Netherlands
| | - Valeria Vespasiano
- Department of Oral and Maxillofacial Surgery, Amsterdam UMC, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam, Amsterdam, the Netherlands
| | - Jan de Lange
- Department of Oral and Maxillofacial Surgery, Amsterdam UMC, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam, Amsterdam, the Netherlands
- Department of Oral and Maxillofacial Surgery, Isala Zwolle, Zwolle, the Netherlands
| | - Bruno G Loos
- Department of Periodontology, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
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18
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Soeroto AY, Yanto TA, Kurniawan A, Hariyanto TI. Efficacy and safety of tixagevimab-cilgavimab as pre-exposure prophylaxis for COVID-19: A systematic review and meta-analysis. Rev Med Virol 2023; 33:e2420. [PMID: 36617704 DOI: 10.1002/rmv.2420] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/24/2022] [Accepted: 12/26/2022] [Indexed: 01/10/2023]
Abstract
Some proportions of populations, such as immunocompromised patients and organ transplant recipients might have inadequate immune responses to the vaccine for coronavirus disease 2019 (COVID-19). For these groups of populations, administering monoclonal antibodies might offer some additional protection. This review sought to analyze the effectiveness and safety of tixagevimab-cilgavimab (Evusheld) as pre-exposure prophylaxis against COVID-19. We used specific keywords to comprehensively search for potential studies on PubMed, Scopus, Europe PMC, and ClinicalTrials.gov sources until 3 September 2022. We collected all published articles that analyzed tixagevimab-cilgavimab on the course of COVID-19. Review Manager 5.4 was utilized for statistical analysis. Six studies were included. Our pooled analysis revealed that tixagevimab-cilgavimab prophylaxis may decrease the rate of SARS-CoV-2 infection (OR: 0.24; 95% CI: 0.15-0.40, p < 0.00001, I2 = 75%), lower COVID-19 hospitalization rate (OR: 0.13; 95% CI: 0.07-0.24, p < 0.00001, I2 = 0%), decrease the severity risk (OR: 0.13; 95% CI: 0.07-0.24, p < 0.00001, I2 = 0%), and lower COVID-19 deaths (OR: 0.17; 95% CI: 0.03-0.99, p = 0.05, I2 = 72%). In the included studies, no major adverse events were reported. This study proposes that tixagevimab-cilgavimab was effective and safe for preventing COVID-19. Tixagevimab-cilgavimab may be offered to those who cannot be vaccinated or have inadequate immune response from the COVID-19 vaccine to give additional protection.
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Affiliation(s)
- Arto Yuwono Soeroto
- Department of Internal Medicine, Division of Pulmonology and Critical Illness, Padjadjaran University, Bandung, West Java, Indonesia
| | - Theo Audi Yanto
- Department of Internal Medicine, Faculty of Medicine, Pelita Harapan University, Tangerang, Indonesia
| | - Andree Kurniawan
- Department of Internal Medicine, Faculty of Medicine, Pelita Harapan University, Tangerang, Indonesia
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Wang Z, Fang X, Han T, Lv S, Li C, Ma A, Jiang Z, Li W, Sun W, Sun W, Gao Y, Gao Z, Liu Y, Li Q, Wang S, Li B, Liu X, Liu X. Safety and Tolerability of COVID-19 Vaccine in Children With Epilepsy: A Prospective, Multicenter Study. Pediatr Neurol 2023; 140:3-8. [PMID: 36577181 PMCID: PMC9721163 DOI: 10.1016/j.pediatrneurol.2022.11.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/28/2022] [Accepted: 11/29/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND We designed this study to investigate the effects of the coronavirus disease 2019 (COVID-19) vaccine on epileptic seizures, as well as its adverse effects, in children with epilepsy (<18 years). METHODS This anonymous questionnaire study involved a multicenter prospective survey of outpatients and inpatients with epilepsy (<18 years) registered in epilepsy clinics in eight hospitals in six cities of Shandong Province. RESULTS A total of 224 children with epilepsy were included in the study. Fifty of them experienced general adverse events after vaccination. The most common local adverse events were pain or tenderness at the injection site. The most common systemic adverse effects were muscle soreness and headache. No severe adverse events were reported. There were no significant differences in the number of antiseizure medications (P = 0.459), gender (P = 0.336), etiology (P = 0.449), age (P = 0.499), duration of disease (P = 0.546), or seizure type (P = 0.475) between the patients with and without general adverse events. We found that the risk of seizure after vaccination was decreased in children who were seizure free for more than six months before vaccination. There was no significant difference in the number of seizures during the first month before vaccination, the first month after the first dose, and the first month after the second dose (P = 0.091). CONCLUSION The benefits of vaccination against COVID-19 outweighed the risks of seizures/relapses and severe adverse events after vaccination for children with epilepsy.
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Affiliation(s)
- Zhihao Wang
- Department of Neurology, Qilu Hospital of Shandong University, Jinan, China
| | - Xiqin Fang
- Department of Neurology, Qilu Hospital of Shandong University, Jinan, China
| | - Tao Han
- Department of Neurology, Shandong Provincial Hospital, Jinan, China
| | - Shishen Lv
- Department of Pediatrics, Tengzhou Central People's Hospital, Tengzhou, China
| | - Chunxiang Li
- Department of Pediatrics, Yantai Yuhuangding Hospital, Yantai, China
| | - Aihua Ma
- Department of Pediatrics, Shandong Provincial Hospital, Jinan, China
| | - Zhaolun Jiang
- Department of Pediatrics, Tengzhou Central People's Hospital, Tengzhou, China
| | - Wenke Li
- Department of Pediatrics, Tengzhou Central People's Hospital, Tengzhou, China
| | - Wenxiu Sun
- Department of Pediatrics, Shandong Provincial Hospital, Jinan, China
| | - Wenying Sun
- Department of Pediatrics, Liaocheng People's Hospital, Liaocheng, China
| | - Yuxing Gao
- Department of Pediatrics, Shandong Provincial Hospital, Jinan, China
| | - Zaifen Gao
- Department of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan, China
| | - Yong Liu
- Department of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan, China
| | - Qiubo Li
- Department of Neurology, Affiliated Hospital of Jining Medical, Jining, China
| | - Suli Wang
- Department of Pediatrics, Weifang Maternal and Child Health Care Hospital, Weifang, China
| | - Baomin Li
- Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, China
| | - Xinjie Liu
- Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, China
| | - Xuewu Liu
- Department of Neurology, Qilu Hospital of Shandong University, Jinan, China; Institute of Epilepsy, Shandong University, Jinan, China.
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20
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Selitskiy GV, Sorokina ND, Pertsov SS, Zherdeva AS, Tsagashek AV. [Clinical and neurophysiological parameters in patients with epilepsy in the long-term period after COVID-19]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:60-65. [PMID: 36843460 DOI: 10.17116/jnevro202312302160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
Abstract
OBJECTIVE Clinical and psychophysiological assessment of the dynamics of the condition of patients with epilepsy in 4-6 months after the coronavirus infection. MATERIAL AND METHODS An open controlled prospective comparative outpatient clinical and physiological study of patients diagnosed with epilepsy after suffering from COVID-19 (after 4-6 months) of moderate severity (n=16), patients diagnosed with epilepsy who did not suffer from COVID-19 (n=7), a control group (n=11) after confirmed COVID-19 (after 4-6 months). All groups were in the age range 23 to 50 years. Clinical/neurological and somatic research included: anamnesis, neurological examination, questioning, ECG, EEG, clinical and psychometric tests. RESULTS There was an increase in the representation of epileptiform activity in the background EEG and more pronounced activity in provoking samples compared with background recording in 26.5% of patients who had suffered COVID-19 compared with the group of patients with epilepsy who had not suffered COVID-19. The detection of rare epileptic seizures in 18.8% of cases in the group of epilepsy patients, who underwent COVID-19, indicates an increase in epileptogenesis and a decrease in therapeutic control over seizures. At the same time, 87.5% of patients in this group showed a statistically significant increase in the influence of the sympathetic nervous system on the regulation of heart rhythm and an increase in anxiety and depression. CONCLUSION The results can complement the understanding of the neuropsychiatric status of patients with epilepsy after COVID-19, which provides prerequisites for the development of optimal recovery directions in the rehabilitation period to maintain drug remission of epilepsy and reduce the possible progression of the disease.
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Affiliation(s)
- G V Selitskiy
- Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
| | - N D Sorokina
- Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
| | - S S Pertsov
- Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia.,Anokhin Research Institute of Normal Physiology, Moscow, Russia
| | - A S Zherdeva
- Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
| | - A V Tsagashek
- Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
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21
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Smail SW, Babaei E, Amin K. Hematological, Inflammatory, Coagulation, and Oxidative/Antioxidant Biomarkers as Predictors for Severity and Mortality in COVID-19: A Prospective Cohort-Study. Int J Gen Med 2023; 16:565-580. [PMID: 36824986 PMCID: PMC9942608 DOI: 10.2147/ijgm.s402206] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 02/10/2023] [Indexed: 02/19/2023] Open
Abstract
Purpose Oxidative stress (OS) and inflammation are pivotal points in the pathophysiology of coronavirus disease-2019 (COVID-19). This study aims to use routine laboratory and oxidative stress/antioxidative biomarkers as predictors for the mortality of the disease. Patients and Methods This prospective cohort study, made up of 120 COVID-19 patients from emergency units in Erbil, Duhok, Kirkuk, and Sulaymaniyah cities in Iraq, from May the 1st to May the 30th, 2021, and 60 healthy controls (HCs) (n = 60). The patients were re-categorized into mild (n = 54), severe (n = 40), and critical (n = 26) groups based on the clinical criteria. Following admission to the hospital, blood was directly collected for measuring routine laboratory biomarkers. Results Neutrophils and neutrophil/lymphocyte ratio (NLR) were higher in the critical group, while lymphocytes were lower in the severe and critical groups compared to the mild group. The CRP, ferritin, and D-dimer values were more elevated in severe and critical cases than in mild COVID-19 cases. The levels of malondialdehyde (MDA), nitric oxide (NO), and copper were elevated, while the superoxide dismutase (SOD) activity level and total antioxidant capacity (TAC) level were lower. However, vitamin C, glutathione peroxidase (GPx), and catalase activity levels were not changed in the COVID-19 groups compared to the HCs. NO and ferritin were predictors of ICU hospitalization; D-dimer, MDA, and NLR were predictors of mortality. NO, and NLR were predictors of SpO2 depression. Moreover, NO, and copper have both good diagnostic values, their cutoffs were 39.01 and 11.93, respectively. Conclusion There is an association between immune dysregulation and oxidative imbalance. The biomarkers, that could be considered as predictors for the severity and mortality of COVID-19, are the NLR, NO, ferritin, and D-dimer. The age equal to and older than 50 has a poor prognosis in the Kurdish population.
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Affiliation(s)
- Shukur Wasman Smail
- Department of Biology, College of Science, Salahaddin University, Erbil, Iraq
| | - Esmaeil Babaei
- Department of Biology, School of Natural Sciences, University of Tabriz, Tabriz, Iran
- Department of Pharmacognosy, College of Pharmacy, Hawler Medical University, Erbil, Kurdistan Region, Iraq
| | - Kawa Amin
- College of Medicine, University of Sulaimani, Sulaymaniyah, Iraq
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22
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Sorokina ND, Pertsov SS, Selitsky GV, Zherdeva AS, Tsagashek AV. [Impact of COVID-19 on some neurological and psychological features in epilepsy]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:7-11. [PMID: 36946390 DOI: 10.17116/jnevro20231230317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
The new coronavirus infection spread around the world in a very short time and turned into a pandemic with a wave-like flow for more than two years. COVID-19infection affects selectively various organs and systems, including the nervous system; neurological manifestations have been reported, including anosmia, encephalopathy, stroke, epileptogenic disorders, which necessitates studies of the course of brain diseases, among which epilepsy occupies a significant place.
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Affiliation(s)
- N D Sorokina
- Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
| | - S S Pertsov
- Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
- Anokhin Research Institute of Normal Physiology, Moscow, Russia
| | - G V Selitsky
- Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
| | - A S Zherdeva
- Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
| | - A V Tsagashek
- Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
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23
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Wang S, Lv J, He C, Yang Y, Zheng Y, Ye L, Chen C, Shen C, Xu S, Ding Y, Guo Y, Tang Y, Wang S, Ding M. COVID-19 vaccination hesitancy and safety among adult people with epilepsy in eastern China. Epilepsy Behav 2023; 138:108984. [PMID: 36423385 PMCID: PMC9637523 DOI: 10.1016/j.yebeh.2022.108984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 10/28/2022] [Accepted: 10/29/2022] [Indexed: 11/09/2022]
Abstract
OBJECTIVE This study assesses the hesitancy and safety of vaccination administration for the novel 2019 Coronavirus Disease (COVID-19) among adult people with epilepsy (PWE). METHODS We recruited adult PWE who visited the outpatient epilepsy clinic from August 2021 to February 2022. We administered a structured questionnaire and a face-to-face interview regarding demographic factors, epilepsy characteristics, and relevant vaccine issues to all patients. Factors related to receiving a vaccine and epilepsy-related events after vaccination were then analyzed. RESULTS A total of 501 PWE were surveyed; 288 were unvaccinated and 213 were vaccinated. Patients without jobs (OR: 0.59; 95% CI: 0.37-0.95, p = 0.03) were less likely to receive the vaccine compared to students or those with jobs. Other factors associated with vaccination were a higher number of anti-seizure medications (OR: 0.72; 95% CI: 0.55-0.95, p = 0.02) and a lower pre-vaccine seizure frequency (OR: 2.21; 95% CI: 1.06-4.59, p = 0.03). Of the 213 vaccinated patients, 10 (4.70%) reported at least one local and/or systemic side effect. Most patients (92.50%) did not report worse seizures within one month of vaccination. Poor ASM adherence (OR: 15.06; 95% CI: 1.75-129.87, p = 0.01) and fatigue/stimulant drinks such as caffeine (OR: 50.59; 95% CI: 7.57-337.94, p < 0.01) were significantly associated with seizure worsening within one month of receiving the COVID-19 vaccination. CONCLUSION Almost two-fifths of patients with adult PWE have received a COVID-19 vaccine. Attention should be paid to educating epilepsy patients without jobs on the significance and safety of the vaccine. There was a low risk of seizure worsening in the short term after vaccination in PWE.
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Affiliation(s)
- Shan Wang
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jin Lv
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Chenmin He
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yuyu Yang
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yuanyuan Zheng
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Lingqi Ye
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Cong Chen
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Chunhong Shen
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Sha Xu
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yao Ding
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yi Guo
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yelei Tang
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shuang Wang
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
| | - Meiping Ding
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
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Inflammatory bowel disease and COVID-19 outcomes: a meta-analysis. Sci Rep 2022; 12:21333. [PMID: 36494448 PMCID: PMC9734125 DOI: 10.1038/s41598-022-25429-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 11/29/2022] [Indexed: 12/13/2022] Open
Abstract
There is conflicting evidence concerning the effect of inflammatory bowel disease (IBD) on COVID-19 incidence and outcome. Hence, we aimed to evaluate the published evidence through a systematic review process and perform a meta-analysis to assess the association between IBD and COVID-19. A compressive literature search was performed in PubMed/Medline, Scopus, Embase, and Cochrane Library from inception to July 2021. A snowball search in Google, Google Scholar, Research Gate, and MedRxiv; and bibliographic research were also performed to identify any other relevant articles. Quantitative observational studies such as cohort, cross-sectional, and case-control studies that assessed the incidence, risk, and outcomes of COVID-19 among the adult IBD patients published in the English language, were considered for this review. The incidence and risk of COVID-19, COVID-19 hospitalization, the severity of COVID-19, and mortality were considered as the outcomes of interest. The Joanna Briggs Institute critical appraisal checklist was used for quality assessment. A subgroup and sensitivity analysis were performed to explore the heterogeneity and robustness of the results, respectively. A total of 86 studies out of 2828 non-duplicate records were considered for this meta-analysis. The studies were single or multicentric internationally from settings such as IBD centres, medical colleges, hospitals, or from the general public. Most of the studies were observed to be of good quality with an acceptable risk of bias. The pooled prevalence of COVID-19, COVID-19 hospitalization, severe COVID-19, and mortality in the IBD population were 6.10%, 10.63%, 40.43%, and 1.94%, respectively. IBD was not significantly (p > 0.05) associated with the risk of COVID-19, COVID-19 hospitalization, severe COVID-19, and mortality. In contrast, ulcerative colitis was significantly associated with a higher risk of COVID-19 (OR 1.37; p = 0.01), COVID-19 hospitalization (OR 1.28; p < 0.00001), and severe COVID-19 (OR 2.45; p < 0.0007). Crohn's disease was significantly associated with a lesser risk of severe COVID-19 (OR 0.48; p = 0.02). Type of IBD was a potential factor that might have contributed to the higher level of heterogeneity. There was a significant association between ulcerative colitis and increased risk of COVID-19, COVID-19 hospitalization, and severe COVID-19 infection. This association was not observed in patients with Crohns' disease or in those diagnosed non-specifically as IBD.
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Fang X, Hu S, Han T, Yang T, Hu J, Song Y, Li C, Ma A, Li Y, Kong Q, Tang L, Chen W, Sun W, Fang C, Sun Y, Chen J, Sun W, Yan Y, Gao Y, Geng J, Li N, Li Q, Jiang Z, Lv S, Li W, Lang X, Wang S, Chen Y, Li B, Li L, Liu X, Liu Y, Zhan Y, Gao Z, Qu L, Fu Q, Liu X. Effect of inactivated COVID-19 vaccines on seizure frequency in patients with epilepsy: A multicenter, prospective study. Front Immunol 2022; 13:984789. [PMID: 36569941 PMCID: PMC9769399 DOI: 10.3389/fimmu.2022.984789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 11/22/2022] [Indexed: 12/12/2022] Open
Abstract
Objectives Several COVID-19 vaccines list "uncontrolled epilepsy" as a contraindication for vaccination. This consequently restricts vaccination against COVID-19 in patients with epilepsy (PWE). However, there is no strong evidence that COVID-19 vaccination can exacerbate conditions in PWE. This study aims to determine the impact of COVID-19 vaccination on PWE. Methods PWE were prospectively recruited from 25 epilepsy centers. We recorded the seizure frequency at three time periods (one month before the first vaccination and one month after the first and second vaccinations). A generalized linear mixed-effects model (GLMM) was used for analysis, and the adjusted incidence rate ratio (AIRR) with 95% CI was presented and interpreted accordingly. Results Overall, 859 PWE were included in the analysis. Thirty-one (3.6%) and 35 (4.1%) patients were found to have increased seizure frequency after the two doses, respectively. Age had an interaction with time. The seizure frequency in adults decreased by 81% after the first dose (AIRR=0.19, 95% CI:0.11-0.34) and 85% after the second dose (AIRR=0.16, 95% CI:0.08-0.30). In juveniles (<18), it was 25% (AIRR=0.75, 95% CI:0.42-1.34) and 51% (AIRR=0.49, 95% CI:0.25-0.95), respectively. Interval between the last seizure before vaccination and the first dose of vaccination (ILSFV) had a significant effect on seizure frequency after vaccination. Seizure frequency in PWE with hereditary epilepsy after vaccination was significantly higher than that in PWE with unknown etiology (AIRR=1.95, 95% CI: 1.17-3.24). Two hundred and seventeen (25.3%) patients experienced non-epileptic but not serious adverse reactions. Discussion The inactivated COVID-19 vaccine does not significantly increase seizure frequency in PWE. The limitations of vaccination in PWE should focus on aspects other than control status. Juvenile PWE should be of greater concern after vaccination because they have lower safety. Finally, PWE should not reduce the dosage of anti-seizure medication during the peri-vaccination period.
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Affiliation(s)
- Xiqin Fang
- Department of Neurology, Qilu Hospital, Shandong University, Jinan, China,Institute of Epilepsy, Shandong University, Jinan, China
| | - Shimin Hu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China,Beijing Key Laboratory of Neuromodulation, Beijing, China,Institute of Sleep and Consciousness Disorders, Center of Epilepsy, Beijing institute for Brain Disorders, Capital Medical University, Beijing, China
| | - Tao Han
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Tingting Yang
- Department of Neurology, Qilu Hospital, Shandong University, Jinan, China,Institute of Epilepsy, Shandong University, Jinan, China
| | - Junji Hu
- Department of Neurology, Zibo Changguo Hospital, Zibo, China
| | - Yucheng Song
- Department of Neurology, Jining City Dai Zhuang Hospital, Jining, China
| | - Chunxiang Li
- Department of Pediatrics, Yantai Yuhuangding Hospital, Yantai, China
| | - Aihua Ma
- Department of Pediatrics, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Yufeng Li
- Department of Pediatrics, Linyi People’s Hospital, Linyi, China
| | - Qingxia Kong
- Department of Neurology, Affiliated Hospital of Jining Medical, Jining, China
| | - Liou Tang
- Department of Neurology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Wei Chen
- Department of Neurosurgery, Liaocheng People’s Hospital, Liaocheng, China
| | - Wenxiu Sun
- Department of Pediatrics, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Chunyan Fang
- Department of Neurology, Zhucheng People’s Hospital, Zhucheng, China
| | - Yanping Sun
- Department of Neurology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Juan Chen
- Department of Neurology, Heze Third People’s Hospital, Heze, China
| | - Wenying Sun
- Department of Pediatrics, Liaocheng People’s Hospital, Liaocheng, China
| | - Yibing Yan
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
| | - Yuxing Gao
- Department of Pediatrics, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Jianhong Geng
- Department of Neurology, Affiliated Hospital of Weifang Medical College, Weifang, China
| | - Nan Li
- Department of Neurology, Shengli Oilfield Central Hospital, Dongying, China
| | - Qiubo Li
- Department of Pediatrics, Affiliated Hospital of Jining Medical, Jining, China
| | - Zhaolun Jiang
- Department of Pediatrics, Tengzhou Central People’s Hospital, Zaozhuang, China
| | - Shishen Lv
- Department of Pediatrics, Tengzhou Central People’s Hospital, Zaozhuang, China
| | - Wenke Li
- Department of Pediatrics, Tengzhou Central People’s Hospital, Zaozhuang, China
| | - Xiaoling Lang
- Department of Neurology, Laizhou People’s Hospital, Qingdao, China
| | - Suli Wang
- Department of Pediatrics, Weifang Maternal and Child Health Care Hospital, Weifang, China
| | - Yanxiu Chen
- Department of Neurology, Liaocheng People’s Hospital, Liaocheng, China
| | - Baomin Li
- Department of Pediatrics, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Ling Li
- Department of Neurology, Qilu Hospital of Shandong University (Qingdao), Qingdao, China
| | - Xinjie Liu
- Department of Pediatrics, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yong Liu
- Department of Pediatrics, Qilu Children’s Hospital of Shandong University, Jinan, China
| | - Yan Zhan
- Department of Neurology, Affiliated Hospital of Binzhou Medical College, Yantai, China
| | - Zaifen Gao
- Department of Pediatrics, Qilu Children’s Hospital of Shandong University, Jinan, China
| | - Lixin Qu
- Department of Neurology, Dezhou People’s Hospital, Dezhou, China
| | - Qingxi Fu
- Department of Neurology, Linyi People’s Hospital, Linyi, China
| | - Xuewu Liu
- Department of Neurology, Qilu Hospital, Shandong University, Jinan, China,Institute of Epilepsy, Shandong University, Jinan, China,*Correspondence: Xuewu Liu,
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Huang A, Lu Y, Ji J, Yao Y, Guan S, Chen Z, Yu L. The effect of COVID-19 vaccination on epileptic seizures in patients with epilepsy: A clinical observation in China. Hum Vaccin Immunother 2022; 18:2141519. [PMID: 36412219 PMCID: PMC9746452 DOI: 10.1080/21645515.2022.2141519] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
This observational retrospective study was conducted on patients with epilepsy (PWE) in China who had at least one dose of COVID-19 vaccine and it investigated the safety of vaccination by analyzing changes in epileptic seizures and their influencing factors. Consecutive PWE who were followed up in the epilepsy clinic between June 2021 and May 2022 were enrolled. Data on vaccine type, demographic information, clinical characteristics of epilepsy, and treatment were collected through a questionnaire survey and retrospectively analyzed. PWE were divided into a stable seizure group and a worsening seizure group based on seizure episodes at least 90 days after the first vaccine dose. A total of 79 PWE were included. After vaccination, 14 patients (17.7%) had worsening seizures, 92.9% of whom had an increased seizure frequency. Compared with patients in the stable seizure group, patients in the worsening seizure group had significant differences in baseline monthly seizure frequency (P = .012), improper antiseizure medication (ASM) administration (P = .003) and a disrupted sleep routine (P = .016). Multivariate logistic regression analysis showed that improper ASM administration (OR 6.186, 95% confidence interval [CI] 1.312-29.170; p = .021) and a disrupted sleep routine (OR 6.326, 95% CI 1.326-30.174; p = .021) were significantly associated with seizure worsening. In short, COVID-19 vaccination is safe for PWE, and only those with poor seizure control have the possibility of seizure exacerbation after COVID-19 vaccination. The vaccination per se does not represent a major influencing factor, but the improper use of ASMs and a disrupted sleep routine may be correlated with seizure aggravation after vaccination.
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Affiliation(s)
- Aizhen Huang
- Department of Neurology, Liuzhou Municipal Liutie Central Hospital, Liuzhou, GX, China
| | - Yanting Lu
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, GX, China
| | - Jingjing Ji
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, GX, China
| | - Yankun Yao
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, GX, China
| | - Shiping Guan
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, GX, China
| | - Zirong Chen
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, GX, China
| | - Lu Yu
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, GX, China
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Should patients with epilepsy be vaccinated against coronavirus disease 2019? A systematic review and meta-analysis. Epilepsy Behav 2022; 134:108822. [PMID: 35853315 PMCID: PMC9239978 DOI: 10.1016/j.yebeh.2022.108822] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/13/2022] [Accepted: 06/23/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE The coronavirus disease 2019 (COVID-19) vaccination coverage, willingness, and safety profiles in patients with epilepsy remain poorly understood. We aimed to summarize the available evidence of COVID-19 vaccination coverage, willingness, and safety profiles among patients with epilepsy. METHODS We performed a literature search in the Pubmed, EMBASE, and Cochrane Central Register database between 1 January 2020 and 30 April 2022. We included eligible studies that provided information on the COVID-19 vaccination coverage, willingness, and safety profiles among patients with epilepsy. We investigated the association between baseline characteristics of patients with epilepsy and unvaccination status using a fixed-effect model. We calculated the pooled overall willingness to be vaccinated against COVID-19. We systematically reviewed the safety profiles after COVID-19 vaccination in patients with epilepsy. RESULTS Ten eligible observational studies and two case reports yielded 2589 participants with epilepsy or their caregivers. Among 2145 participants that provided the information of vaccination status, 1508 (70.3%) patients with epilepsy were not administered COVID-19 vaccine, and 58% (95%CI 40-75%) of respondents were willing to be vaccinated against COVID-19. Seizure status (active versus inactive, OR 1.84 95%CI 1.41-2.39, I2 = 0%) rather than seizure type (focal versus non-focal, OR 1.22 95%CI 0.94-1.58, I2 = 0%) was associated with COVID-19 unvaccination status. Vaccines were well-tolerated; epilepsy-related problems such as increase in seizure frequency and status epilepticus after COVID-19 vaccination were uncommon. CONCLUSIONS Our findings suggest a low COVID-19 vaccination coverage and willingness in patients with epilepsy. Vaccination against COVID-19 appears to be well-tolerated and safe in patients with epilepsy, supporting a positive outlook toward vaccination in this population.
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Dugan P, Carroll E, Thorpe J, Jette N, Agarwal P, Ashby S, Hanna J, French J, Devinsky O, Sen A. Impact of the COVID-19 pandemic on people with epilepsy: findings from the US arm of the COV-E study. Epilepsia Open 2022; 7:645-656. [PMID: 35929180 PMCID: PMC9537888 DOI: 10.1002/epi4.12637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 08/03/2022] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVES As part of the COVID-19 and Epilepsy (COV-E) global study, we aimed to understand the impact of COVID-19 on the medical care and well-being of people with epilepsy (PWE) in the United States, based on their perspectives and those of their caregivers. METHODS Separate surveys designed for PWE and their caregivers were circulated from April 2020 to July 2021; modifications in March 2021 included a question about COVID-19 vaccination status. RESULTS We received 788 responses, 71% from PWE (n = 559) and 29% (n=229) from caregivers of persons with epilepsy. A third (n = 308) of respondents reported a change in their health or in the health of the person they care for. Twenty-seven percent (n = 210) reported issues related to worsening mental health. Of respondents taking ASMs (n = 769), 10% (n= 78) reported difficulty taking medications on time, mostly due to stress causing forgetfulness. Less than half of respondents received counseling on mental health and stress. Less than half of the PWE reported having discussions with their healthcare providers about sleep, ASMs and potential side effects, while a larger proportion of caregivers (81%) reported having had discussions with their healthcare providers on the same topics. More PWE and caregivers reported that COVID-19 related measures caused adverse impact on their health in the post-vaccine period than during the pre-vaccine period, citing mental health issues as the primary reason. SIGNIFICANCE Our findings indicate that the impact of the COVID-19 pandemic in the US on PWE is multifaceted. Apart from the increased risk of poor COVID-19 outcomes, the pandemic has also had negative effects on mental health and self-management. Healthcare providers must be vigilant for increased emotional distress in PWE during the pandemic and consider the importance of effective counseling to diminish risks related to exacerbated treatment gaps.
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Affiliation(s)
- Patricia Dugan
- Department of NeurologyNYU Grossman School of MedicineNew YorkNew YorkUSA
| | - Elizabeth Carroll
- Department of NeurologyNYU Grossman School of MedicineNew YorkNew YorkUSA
| | - Jennifer Thorpe
- SUDEP ActionWantageUK
- Oxford Epilepsy Research Group, NIHR Biomedical Research Centre, Nuffield Department of Clinical NeurosciencesJohn Radcliffe HospitalOxfordUK
| | - Nathalie Jette
- Department of Neurology and Department of Population Health Science & PolicyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Parul Agarwal
- Department of Neurology and Department of Population Health Science & PolicyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | | | | | - Jacqueline French
- Department of NeurologyNYU Grossman School of MedicineNew YorkNew YorkUSA
| | - Orrin Devinsky
- Department of NeurologyNYU Grossman School of MedicineNew YorkNew YorkUSA
| | - Arjune Sen
- Oxford Epilepsy Research Group, NIHR Biomedical Research Centre, Nuffield Department of Clinical NeurosciencesJohn Radcliffe HospitalOxfordUK
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Muccioli L, Zenesini C, Taruffi L, Licchetta L, Mostacci B, Di Vito L, Pasini E, Volpi L, Riguzzi P, Ferri L, Baccari F, Nonino F, Michelucci R, Tinuper P, Vignatelli L, Bisulli F. Risk of hospitalization and death for COVID-19 in persons with epilepsy over a 20-month period: the EpiLink Bologna cohort, Italy. Epilepsia 2022; 63:2279-2289. [PMID: 35778963 PMCID: PMC9349826 DOI: 10.1111/epi.17356] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/30/2022] [Accepted: 06/30/2022] [Indexed: 11/28/2022]
Abstract
Objective Data on COVID‐19 outcomes in persons with epilepsy (PWE) are scarce and inconclusive. We aimed to study the risk of hospitalization and death for COVID‐19 in a large cohort of PWE from March 1, 2020 to October 31, 2021. Methods The historical cohort design (EpiLink Bologna) compared adult PWE grouped into people with focal epilepsy (PFE), idiopathic generalized epilepsy (PIGE), and developmental and/or epileptic encephalopathy (PDEE), and a population cohort matched (ratio 1:10) for age, sex, residence, and comorbidity (assessed with the multisource comorbidity score), living in the local health trust of Bologna (approximately 800 000 residents). Clinical data were linked to health administrative data. Results In both cohorts (EpiLink: n = 1575 subjects, 1128 PFE, 267 PIGE, 148 PDEE, 32 other; controls: n = 15 326 subjects), 52% were females, and the mean age was 50 years (SD = 18). Hospital admissions for COVID‐19 in the whole period were 49 (3.1%) in PWE and 225 (1.5%) in controls. The adjusted hazard ratio (aHR) in PWE was 1.9 (95% confidence interval [CI] = 1.4–2.7). The subgroups at higher risk were PFE (aHR = 1.9, 95% CI = 1.3–2.8) and PDEE (aHR = 3.9, 95% CI = 1.7–8.7), whereas PIGE had a risk comparable to the controls (aHR = 1.1, 95% CI = .3–3.5). Stratified analyses of the two main epidemic waves (March–May 2020, October 2020–May 2021) disclosed a higher risk of COVID‐19‐related hospitalization during the first epidemic wave (March–May 2020; aHR = 3.8, 95% CI = 2.2–6.7). Polytherapy with antiseizure medications contributed to a higher risk of hospital admission. Thirty‐day risk of death after hospitalization was 14% in both PWE and controls. Significance During the first 20 months since the outbreak of COVID‐19 in Bologna, PWE had a doubled risk of COVID‐19 hospital admission compared to a matched control population. Conversely, epilepsy did not represent a risk factor for COVID‐19‐related death.
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Affiliation(s)
- Lorenzo Muccioli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Corrado Zenesini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Lisa Taruffi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Laura Licchetta
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Barbara Mostacci
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Lidia Di Vito
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Elena Pasini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Lilia Volpi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Patrizia Riguzzi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Lorenzo Ferri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Flavia Baccari
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Francesco Nonino
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | | | - Paolo Tinuper
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Luca Vignatelli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Francesca Bisulli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
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Rakusa M, Öztürk S, Moro E, Helbok R, Bassetti CL, Beghi E, Bereczki D, Bodini B, Di Liberto G, Jenkins TM, Macerollo A, Maia LF, Martinelli-Boneschi F, Pisani A, Priori A, Sauerbier A, Soffietti R, Taba P, von Oertzen TJ, Zedde M, Crean M, Burlica A, Cavallieri F, Sellner J. COVID-19 vaccination hesitancy among people with chronic neurological disorders: a position paper. Eur J Neurol 2022; 29:2163-2172. [PMID: 35460319 PMCID: PMC9111566 DOI: 10.1111/ene.15368] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 04/15/2022] [Indexed: 11/30/2022]
Abstract
Background and purpose Health risks associated with SARS‐CoV‐2 infection are undisputed. Moreover, the capability of vaccination to prevent symptomatic, severe, and fatal COVID‐19 is recognized. There is also early evidence that vaccination can reduce the chance for long COVID‐19. Nonetheless, the willingness to get vaccinated and receive booster shots remains subpar among people with neurologic disorders. Vaccine scepticism not only jeopardizes collective efforts to end the COVID‐19 pandemic but puts individual lives at risk, as some chronic neurologic diseases are associated with a higher risk for an unfavorable COVID‐19 course. Methods In this position paper, the NeuroCOVID‐19 Task Force of the European Academy of Neurology (EAN) summarizes the current knowledge on the prognosis of COVID‐19 among patients with neurologic disease, elucidates potential barriers to vaccination coverage, and formulates strategies to overcome vaccination hesitancy. A survey among the Task Force members on the phenomenon of vaccination hesitancy among people with neurologic disease supports the lines of argumentation. Results The study revealed that people with multiple sclerosis and other nervous system autoimmune disorders are most skeptical of SARS‐CoV‐2 vaccination. The prevailing concerns included the chance of worsening the pre‐existing neurological condition, vaccination‐related adverse events, and drug interaction. Conclusions The EAN NeuroCOVID‐19 Task Force reinforces the key role of neurologists as advocates of COVID‐19 vaccination. Neurologists need to argue in the interest of their patients about the overwhelming individual and global benefits of COVID‐19 vaccination. Moreover, they need to keep on eye on this vulnerable patient group, its concerns, and the emergence of potential safety signals.
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Affiliation(s)
- Martin Rakusa
- Department of Neurologic Diseases, University Medical Centre Maribor, Maribor, Slovenia
| | - Serefnur Öztürk
- Department of Neurology and Neurointensive Care, Selcuk University, Faculty of Medicine, Konya, Turkey
| | - Elena Moro
- Grenoble Alpes University, Division of Neurology, CHU of Grenoble, Grenoble Institute of Neurosciences, Grenoble, France
| | - Raimund Helbok
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.,Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Claudio L Bassetti
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Ettore Beghi
- Istituto di Ricerche Farmacologiche Mario Negri, IRCCS, Milan, Italy
| | - Daniel Bereczki
- Department of Neurology, Semmelweis University, Budapest, Hungary
| | - Benedetta Bodini
- Department of Neurology, Saint-Antoine Hospital, APHP, Paris, France.,Paris Brain Institute, Sorbonne University, Paris, France
| | - Giovanni Di Liberto
- Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Thomas M Jenkins
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.,Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Antonella Macerollo
- The Walton Centre NHS Foundation Trust for Neurology and Neurosurgery, Liverpool, UK.,Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK
| | - Luis F Maia
- Department of Neurology, Hospital Santo António, Centro Hospitalar Universitário do Porto, Porto, Portugal.,i3S - Instituto de Investigação e Inovação em Saúde Universidade do Porto, Porto, Portugal
| | - Filippo Martinelli-Boneschi
- Neurology Unit and MS Centre, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.,Department of Pathophysiology and Transplantation (DEPT), Dino Ferrari Centre, Neuroscience Section, University of Milan, Milan
| | - Antonio Pisani
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,IRCCS Mondino Foundation, Pavia, Italy
| | - Alberto Priori
- Division of Neurology, Department of Neurology, 'Aldo Ravelli' Research Center, University of Milan and ASST Santi Paolo e Carlo, Milan, Italy
| | - Anna Sauerbier
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany
| | - Riccardo Soffietti
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Turin, Italy
| | - Pille Taba
- Department of Neurology and Neurosurgery, Institute of Clinical Medicine, Tartu, Estonia.,Tartu University Hospital, Tartu, Estonia
| | - Tim J von Oertzen
- Department of Neurology, Neuromed Campus, Kepler Universitätsklinikum, Linz, Austria.,Medical Faculty, Johannes Kepler University, Linz, Austria
| | - Marialuisa Zedde
- Neurology Unit, Neuromotor and Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Michael Crean
- European Academy of Neurology (EAN) Head Office, Vienna, Austria
| | - Anja Burlica
- European Academy of Neurology (EAN) Head Office, Vienna, Austria
| | - Francesco Cavallieri
- Neurology Unit, Neuromotor and Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.,Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Johann Sellner
- Department of Neurology, Landesklinikum Mistelbach-Gänserndorf, Mistelbach, Austria
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Berg AT, Jobst B. Epilepsy and COVID-19's Double-Edged Sword: More Severe Disease, Delayed Epilepsy Care. Neurology 2022; 98:779-780. [PMID: 35338079 DOI: 10.1212/wnl.0000000000200367] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Anne T Berg
- Department of Neurology, Northwestern University-Feinberg School of Medicine, Chicago, IL
| | - Barbara Jobst
- Department of Neurology, Geisel School of Medicine at Dartmouth, Hanover, NH
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32
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Moreno-Pérez O, Merino E, Ramos JM, Rodríguez JC, Diaz C, Mas P, Reus S, Sánchez-Martínez R, Boix V, Chico-Sánchez P, Sánchez-Payá J, Portilla J. [Valproic Acid Could Help in the Fight Against COVID-19: a case-control study]. Neurologia 2022:S0213-4853(22)00014-7. [PMID: 35185237 PMCID: PMC8841207 DOI: 10.1016/j.nrl.2022.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 01/22/2022] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE There is early evidence about Valproic acid (VPA) antiviral effect. Our aim was to investigate the incidence and severity of SARS-CoV-2 infection in VPA users as compared with the general population. MATERIAL AND METHODS A case-control study nested within a cohort, carried out between March 1 and December 17, 2020. Retrospectively, we identified confirmed SARS-CoV-2 infection patients exposed to VPA in our health department (defined as case). We ascertained VPA regimen (all the time (AT)(292 days) or at least 20% of the study period (notAT)(≥58 days) and if VPA levels were in therapeutic range (ATR) (50-100 mcg/mL) in the last 24 months. We calculated the cumulative incidence of SARS-CoV-2 infection and hospital admission in the cases, comparing it with the general unexposed VPA population (controls). RESULTS During the study period, 6183 PCR+ were detected among 281035 inhabitants, of these, 746 were hospitalized. 691 patients were on VPA notAT and 628 (90.1%) AT. The indication for VPA use was epilepsy in 54.9%. The incidence of PCR+ was 1.736 % (OR 0.785 (95%CI 0.443-1.390) and 1.910 % (OR 0.865 (95%CI 0.488-1.533), on VPA notAT and VPA AT patients, respectively vs. 2.201% in people without VPA regimen. Those patients with VPA ATR had a lower risk of PCR + (OR 0.233 (95%CI 0.057-0.951) notAT; OR 0.218 (95%CI 0.053-0.890) AT). Hospital admission incidence was lower in patient on VPA (OR was 0.543 (95% CI 0.076 to 3.871). CONCLUSION Patients with VPA within the therapeutic range had a reduction of SARS-Cov-2 infection incidence greater than 75%. There is a downward trend in the risk of COVID-19 admission by SARS-CoV-2 in patients on VPA therapy. These findings warrant further investigation.
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Affiliation(s)
- Oscar Moreno-Pérez
- Endocrinology and Nutrition department, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain
- Clinical Medicine department, Miguel Hernández University, Elche, Spain
| | - Esperanza Merino
- Unit of Infectious Diseases, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain
| | - Jose Manuel Ramos
- Internal Medicine department, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain
- Clinical Medicine department, Miguel Hernández University, Elche, Spain
| | - Juan Carlos Rodríguez
- Microbiology department, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain
- Miguel Hernández University, Elche, Spain
| | - Carmina Diaz
- Neurology department, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain
- Clinical Medicine department, Miguel Hernández University, Elche, Spain
| | - Patricio Mas
- Pharmacy department, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain
| | - Sergio Reus
- Unit of Infectious Diseases, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain
- Clinical Medicine department, Miguel Hernández University, Elche, Spain
| | - Rosario Sánchez-Martínez
- Internal Medicine department, Alicante General University Hospital - Alicante Institute of Sanitary and Biomedical Research (ISABIAL), Alicante, Spain
| | - Vicente Boix
- Unit of Infectious Diseases, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain
- Clinical Medicine department, Miguel Hernández University, Elche, Spain
| | - Pablo Chico-Sánchez
- Preventive department, Alicante General University Hospital - - Alicante Institute of Sanitary and Biomedical Research (ISABIAL), Alicante, Spain
| | - José Sánchez-Payá
- Preventive department, Alicante General University Hospital - - Alicante Institute of Sanitary and Biomedical Research (ISABIAL), Alicante, Spain
| | - Joaquín Portilla
- Internal Medicine department, Alicante General University Hospital - Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain
- Clinical Medicine department, Miguel Hernández University, Elche, Spain
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