Literature DB >> 35650127

Seizure Control in Patients with Epilepsy during the COVID-19 Pandemic: A Systematic Review and Meta-analysis.

Naoto Kuroda1,2, Prasannakumar Kanubhai Gajera3, Hongxuyang Yu4, Takafumi Kubota5.   

Abstract

Objective To investigate seizure control in patients with epilepsy during the coronavirus disease 2019 (COVID-19) pandemic. Method A systematic review and meta-analysis was conducted, and the MEDLINE, EMBASE, CENTRAL, and ClinicalTrials.gov databases were comprehensively searched for relevant studies. Studies that reported seizure control in patients with epilepsy during the COVID-19 pandemic were included. Pooled proportions with 95% confidence intervals (CIs) of patients with epilepsy who experienced seizure worsening during the COVID-19 pandemic were assessed using a random-effects model. The quality of the assessment for each study, heterogeneity between the studies, and publication bias were also evaluated. Subgroup analyses were performed, excluding studies with reports of seizures worsening from caregivers. Results A total of 24 studies with 6,492 patients/caregivers were included in the meta-analysis. The pooled proportion of seizure worsening was 18.5% (95% CI: 13.9-23.6; I2=96%; p<0.01). The pooled proportion of seizure worsening in the subgroup analysis was 18.9% (95% CI: 13.5-25.0; I2=96%; p<0.01). Conclusion Although the heterogeneity was high, our results showed a relatively high incidence of seizure worsening during the COVID-19 pandemic. During the COVID-19 pandemic, physicians should be aware of the likelihood of worsening seizures in patients with epilepsy.

Entities:  

Keywords:  COVID-19; epilepsy; novel coronavirus disease; seizure

Mesh:

Substances:

Year:  2022        PMID: 35650127      PMCID: PMC9424088          DOI: 10.2169/internalmedicine.9321-22

Source DB:  PubMed          Journal:  Intern Med        ISSN: 0918-2918            Impact factor:   1.282


Introduction

Coronavirus disease 2019 (COVID-19) is a novel infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This disease represents one of the most significant pandemics in human history (1). Epilepsy, a disease characterized by the spontaneous recurrence of unprovoked seizures, is one of the most common chronic neurological conditions. The prevalence of this pathology is reported to be 0.7-1.0%, with a particularly high incidence among elderly individuals and children (2). It is important to consider the relationship between epilepsy and COVID-19, and we have discussed this in a previous study (3). In a previous review, we summarized articles that reported seizure worsening during the COVID-19 pandemic. However, the proportion of changes in seizure control varied across studies. In addition, a comprehensive and quantitative analysis of the findings of these studies has not been conducted. Therefore, to clarify the proportion of patients who experienced seizure worsening during the COVID-19 crisis, we systematically and quantitatively investigated seizure control in patients with epilepsy during the COVID-19 pandemic.

Materials and Methods

Searching strategy

This study was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (4). This review protocol has not been registered previously. The following databases were searched systematically up to February 13, 2021: MEDLINE (accessed from PubMed), EMBASE, CENTRAL (accessed from the Cochrane library), and ClinicalTrials.gov. In PubMed, the following key words were searched: [“Epilepsy” (MeSH Terms) OR “Epilepsy” (Title/Abstract) OR “seizure disorder” (Title/Abstract)] AND [“COVID-19”(MeSH Terms) OR “SARS-CoV-2” (MeSH Terms) OR “COVID-19” (Title/Abstract) OR “2019 ncov infection” (Title/Abstract) OR “SARS-CoV-2” (Title/Abstract) OR “2019 novel coronavirus” (Title/Abstract)]. In the EMBASE database, the following key words were searched: (“Epilepsy”/exp OR Epilepsy:ti,ab OR “seizure disorder”:ti,ab) AND (“COVID-19”/exp OR “SARS-CoV-2”/exp OR COVID-19:ti,ab OR “2019 ncov infection”:ti,ab OR SARS-CoV-2:ti,ab OR “2019 novel coronavirus”:ti,ab). The following keywords were searched in the Cochrane library: [(mh Epilepsy) OR Epilepsy:ti,ab OR “seizure disorder”:ti,ab] AND [(mh COVID-19) OR (mh SARS-CoV-2) OR COVID-19:ti,ab OR “2019 ncov infection”:ti,ab OR SARS-CoV-2:ti,ab OR “2019 novel coronavirus”:ti,ab]. We also used ClinicalTrials.gov to search for unpublished, ongoing, terminated, or completed studies to avoid publication bias. In ClinicalTrials.gov, the following keywords were searched: (Epilepsy OR Seizure disorder) AND (COVID-19 OR 2019-nCoV Infection OR SARS-CoV-2 OR 2019 Novel Coronavirus). We screened the reference lists of all relevant articles for additional data.

Inclusion and exclusion criteria

Studies were included based on the following criteria: 1) studies that reported data on changes in seizure frequency in patients with epilepsy during the COVID-19 pandemic; and 2) studies from which the incidence proportion of seizure worsening in patients with epilepsy during the COVID-19 pandemic could be calculated. We excluded studies with the following criteria: 1) studies that were not yet recruiting, were currently recruiting, or had been withdrawn according to Clinical.Trials.gov; 2) studies that reported on patients diagnosed with psychogenic non-epileptic seizures; 3) case reports; and 4) studies written in languages other than English. We defined seizure worsening as increased seizures, new types of seizure, prolonged seizures, or seizures resistant to rescue medications. Studies with outcomes reported by patients, caregivers, or physicians were included. Any type of outcome measured by a questionnaire, survey, or the presence of consultation was accepted. We excluded studies that reported only the mean±standard deviation of seizure frequency because we could not calculate the incidence proportion. To assess the quality of the included articles, we scored the level of risk of bias using the risk of bias instrument for cross-sectional surveys of attitudes and practices contributed by the CLARITY group at McMaster University (5). Any disagreements or discrepancies between the reviewers regarding outcomes were resolved through discussion.

Data extraction and outcome measurements

Two reviewers (PG and HY) independently screened the titles and abstracts and evaluated the full texts of the selected articles. The risk of bias was independently assessed. Any disagreements were resolved by a third reviewer (TK). The following variables were extracted: author, publication year, the country in which the study was conducted, study period, participants, study design, age, proportion of females, definition of seizure worsening, and proportion of seizure worsening. We also extracted independent risk factors for seizure worsening identified by the multivariate analysis and their odds ratios (ORs).

Statistical analyses

In this systematic review and meta-analysis, we used a single-arm analysis. For categorical variables, percentages, means, and standard deviations were calculated. We used random-effects models with the DerSimonian-Laird estimator to consider the variance between and among the studies. We calculated the pooled proportions using the variance-stabilized Freeman-Tukey double arcsine transformation. Confidence intervals (CIs) for individual studies were computed using the Wilson score CI method, with adjusting for continuity. The I2 statistic and Cochran Q test were used to indicate heterogeneity between the studies. For the I2 statistic, 0%≤I2<25%, 25%≤I2<50%, 50%≤I2<75%, and ≥75% were considered very low, low, moderate, and high heterogeneity, respectively (6). For the Cochran Q test, p<0.10 was considered as severe heterogeneity (7,8). Publication bias was assessed using a funnel plot and Egger's test, which is a quantitative analysis of asymmetry in the funnel plot. For Egger's test, p<0.10 was considered to indicate significant publication bias (8,9). We did not assess publication bias for outcomes reported in fewer than 10 studies. We conducted statistical analyses using the R software program (version 3.6.2; R Development Core Team 2019), with meta version 4.15-0 and metaphor version 2.4-0.

Subgroup analyses

Subgroup analyses were conducted to investigate potential explanatory variables of heterogeneity, excluding studies that included reports from caregivers of patients with epilepsy.

Results

Summary of reviewed articles

The selection process is illustrated in Fig. 1. A total of 670 studies were retrieved (188 studies from MEDLINE, 480 studies from EMBASE, 0 studies from CENTRAL, and 2 studies from ClinicalTrials.gov) up to February 13, 2021. After removing duplicates and screening the titles and abstracts, 100 studies were identified. The full-text screening of these studies led to the exclusion of 76 studies that did not meet the inclusion criteria. A total of 24 studies with 6,492 patients/caregivers fulfilled the eligibility criteria for inclusion in the meta-analysis (10-33). Table 1 summarizes the findings of the included studies. The mean score for the quality of 24 studies based on the questionnaire survey was 2.2 out of 5 (Table 1, Supplementary material 1).
Figure 1.

Preferred reporting items for systematic reviews and meta-analyses (PRISMA) flow diagram of this study.

Table 1.

Summary of the Findings.

ReferenceCountryStudy designStudy periodNumber of participantsAge (SD or IQR)Female sexQuality scoreDefinition of seizure worseningProportion of seizure worsening
(10)KuwaitQSAugust 1 to August 10, 2020151 PwE31.11±11.6964.9 %2SF35/151
(11)SpainQSApril 7 to April 11, 2020277 care givers of genetic epilepsy (38.60%) and non-genetic epilepsy (61.40%)12.458.1 %2SF39/277
(12)Saudi ArabiaQSMonth of April 2020156 PwELess than 20: 23 (14.7%), 20-40: 104 (66.7%), 40-60: 24 (15.4%), more than 60: 5 (3.2%)62.2 %3SF46/156
(13)IranQSMarch 27 to March 30, 2020Phone call interviews of 100 PwE, random selected32±1347 %2SF6/100
(14)ItalyQSApril 11 to April 16, 2020456 PwE37.9±12.578 %3SF82/456
(15)ItalyQSMarch 9 to April 30, 2020189 PwEMedian 45 (33-57)103 (54.5%)3SF10/189
(16)SpainQSN.D.341 responded (out of 627)181 (58.0%)1SF40/341
(17)SpainQSMarch 16 to April 14, 2020255 PwE48.2±19.8121 (47.5%)2SF25/255
(18)TurkeyQSDuring the pandemic declared in the country110 PwE32 (18-65)62 (56.4)2SF7/110
(19)ChinaQSFebruary 23 and March 5, 2020362 PwE (response rate 63.51%)10-19 years 112 (30.94%) 20-60 years 244 (67.40%) ≥60 years 6 (1.66%)166 (45.86%)2SF31/362
(20)ItalyQSApril 11 to April 16, 2020427 PwE+452 PwoE=87938.6±11.8 years327 (76.58%)2SF67/427
(21)USAQSMarch 27 to March 30, 202094 PwE36 (19-88)47 (50%)3SF33/94
(22)Europe, South America, and CanadaQSJuly 26 and December 3, 2020407 PwE (337 patients and 70 caretakers)34.52±14.03304 (74.7%)2SF122/407
(23)ItalyQSN.D.222 PwE (157 patients and 65 caregivers)43.5 (18-84)128 (57.7%)2SF14/222
(24)LithuaniaQSMarch 16, 2020 to June 16, 2020143 PwE (94 in person+49 online)35.1±13.484 (58.7%)2SF22/143
(25)IndiaQSOctober 5 to October 15, 2020325 PwE out of 600 completed the survey26.4±12.3 (1-70)132 (40.6%)3SF22/325
(26)UKQSMay and June 202071 young PwE+130 via care givers20.76±3.48 & 8.88±5.1561 (86%) & 64 (49%)1SF62/201
(27)USAQSMarch 1, 2020 and May 31, 2020177 PwE (183 which were 27% of eligible subjects completed the survey - 6 did not answer the questions of seizure control)47 (range: 21-79)120 (67.8%)2SF133/177
(28)IranQSN.D.141 PwE & 759 PwoE36.01±19.78 (including PwoE)55.4% (including PwoE)2SF32/141
(29)PakistanQSJuly 13 and July 24, 2020,213 caregivers of pediatric patients with active epilepsy1-5, 87 (40.8) 6-10, 83 (39.0) 11-15 39, (18.3) 16-20, 4 (1.9)128 (60.1%)3SF57/213
(30)SpainQSMay 17 and June 7, 2020100 PwE42.4±16.452 (52%)2SF29/100
(31)ChinaQSFebruary 1 to March 31, 2020 (model time)118 PwE (78.7% completed the survey)27 (21.3-36.8)64 (54.2%)3SF34/118
(32)RomeQSMay 8 to May 31, 20203,321 parents of PwE (response rate: 50%)0-1 year: 72 (2.2), 2-5 years: 529 (15.9), 6-12 years: 1,394 (41.9), 13-18 years: 746 (22.5), >18 years: 580 (17.5)1,580 (47.6%)1SF184/1,387
(33)Sri LankaQSN.D.140 caregivers of children with epilepsy7.87 years (SD 4.0)N.D.3SF17/140

IQR: interquartile range, N.D.: not described, QS: questionnaire survey, PwE: people/patients with epilepsy, PwoE: people without epilepsy, SD: standard deviation, SF: self-reported or reported by caregivers

Preferred reporting items for systematic reviews and meta-analyses (PRISMA) flow diagram of this study. Summary of the Findings. IQR: interquartile range, N.D.: not described, QS: questionnaire survey, PwE: people/patients with epilepsy, PwoE: people without epilepsy, SD: standard deviation, SF: self-reported or reported by caregivers The pooled proportion of seizure worsening was 18.5% (95% CI: 13.9-23.6); I2=96%; p<0.01) (Fig. 2). Publication bias was examined using a funnel plot and Egger's test (Fig. 2). There was no significant publication bias (p=0.29). We have summarized the reported independent risk factors for seizure worsening and their ORs in Table 2.
Figure 2.

Results of the meta-analysis for seizure worsening in patients with epilepsy during the COVID-19 pandemic. (A) A random-effects meta-analysis of the pooled proportion and forest plot of the meta-analysis; (B) Funnel plot of the meta-analysis. COVID-19: coronavirus disease 2019, CI: confidence interval

Table 2.

Reported Independent Risk Factors Identified by the Multivariate Analysis and Their ORs.

ReferenceFactorOR95% CI
(10)Full-time job0.610.15-2.47
Part-time job0.330.05-2.13
Student0.560.15-2.05
Not working/retired1.781.25-2.54
VNS2.540.47-13.68
Less than 3 months (time of the last seizure before the pandemic)0.220.10-0.50
More than 3 months (time of the last seizure before the pandemic)0-
Less than 3 months (last medical review before the pandemic)0.960.34-2.72
Three months or earlier (last medical review before the pandemic)0-
Shortage of ASMs0.170.22-1.34
No depression3.130.81-12.02
Mild depression0.970.24-4.00
Moderate depression1.330.31-5.67
Severe depression0.930.27-3.18
Extremely severe depression0-
Impaired sleep during the pandemic2.891.25-6.7
No feeling of stress2.80.9-8.7
A mild feeling of stress1.750.55-5.61
A moderate feeling of stress1.010.72-1.81
A severe feeling of stress1.661.20-2.27
Extremely feeling of stress0-
Concern about shortage of medications3.871.37-9.09
Concern to get COVID-19 infection3.081.23-7.73
Concern about seizure worsening1.190.41-2.41
(14)Number of ASM1.581.12-2.2
PSQI1.21.1-1.3
(17)Tumor-related etiology7.362.17-24.96
Drug-resistant epilepsy3.261.09-9.74
Insomnia3.651.21-10.95
(18)Seizure frequency0.9580.198-4.619
Number of ASM8.9411.905-41.961
Duration of illness1.0460.97-1.128
Lack of access to medication25.750.095-6986
(19)Exposure history to COVID-193.9531.713-9.122
Uncontrolled seizure after ASM therapy4.6561.268-17.092
Two or more seizures per month before the outbreak2.2451.275-3.952
Increased drug regimen during the outbreak9.490.712-126.529
Reduction/withdrawal/replacement/skipping of ASMs5.4171.848-15.886
Moderate-to-critical worries about the adverse effect of the outbreak on overall seizure-related issues2.5391.053-6.124
(23)Reported psychiatric condition and/or medication12.594.06-38.99
Sleep disorders8.412.31-30.70
Problems with limited access to healthcare4.711.34-16.56
Experiencing at least one seizure after 2/234.511.51-13.47
(24)Baseline seizure frequency1.511.04-2.20
Reported physical health (before lockdown)0.630.414-0.959
Reported physical health (during lockdown)0.980.749-1.647
Reported mental health (before lockdown)1.110.749-1.647
Reported mental health (during lockdown)0.9260.647-1.326
Reported stress during lockdown1.180.888-1.578
Ease of appropriate ASM use0.5860.401-0.856
GAD-71.0140.922-1.151
(30)Experiencing higher stress/anxiety5.781.57-21.18
Having a prior higher seizure frequency12.142.6-56.74

ASM: antiseizure medication, CI: confidence interval, COVID-19: coronavirus disease 2019, GAD-7: General Anxiety Disorder-7, OR: odds ratio, PSQI: Pittsburgh Sleep Quality Index, VNS: vagus nerve stimulation

Results of the meta-analysis for seizure worsening in patients with epilepsy during the COVID-19 pandemic. (A) A random-effects meta-analysis of the pooled proportion and forest plot of the meta-analysis; (B) Funnel plot of the meta-analysis. COVID-19: coronavirus disease 2019, CI: confidence interval Reported Independent Risk Factors Identified by the Multivariate Analysis and Their ORs. ASM: antiseizure medication, CI: confidence interval, COVID-19: coronavirus disease 2019, GAD-7: General Anxiety Disorder-7, OR: odds ratio, PSQI: Pittsburgh Sleep Quality Index, VNS: vagus nerve stimulation

Results of the subgroup analysis

Subgroup analysis for each outcome with the removal of studies that included reports from caregivers of patients with epilepsy still had high heterogeneity (I2=96%, p<0.01) (Fig. 3), with a pooled response proportion of 18.9% (95% CI: 13.5-25.0) (Fig. 3). Publication bias was examined using a funnel plot and Egger's test (Fig. 3). There was no significant publication bias (p=0.21).
Figure 3.

Results of the subgroup meta-analysis excluding studies that included a report from caregivers of patients with epilepsy. (A) A random-effects meta-analysis of the pooled proportion and forest plot of the meta-analysis; (B) Funnel plot of the meta-analysis. CI: confidence interval

Results of the subgroup meta-analysis excluding studies that included a report from caregivers of patients with epilepsy. (A) A random-effects meta-analysis of the pooled proportion and forest plot of the meta-analysis; (B) Funnel plot of the meta-analysis. CI: confidence interval

Discussion

This systematic review and meta-analysis including 24 studies showed that the incidence of seizure worsening during the COVID-19 pandemic was 18.5%. The possible causes of worsening seizure control included infection with SARS-CoV-2, stress due to limited social activity, lifestyle changes, and a lack of necessary medical intervention due to limited access to medical facilities. As shown in Table 2, stress due to limited social activities, lifestyle changes, and the lack of necessary medical intervention due to limited access to medical facilities are reported as risk factors for seizure worsening. Among these risk factors, limited access to medical facilities can be improved by promoting telemedicine (34). Wearable device/smartphone applications for monitoring or prescription of rescue doses of antiseizure medications for patients with these risk factors might also be helpful. In addition, Table 2 shows that people taking multiple antiseizure medications or those with poor seizure control are more likely to be vulnerable to the impact of the COVID-19 pandemic than others. This is probably because patients with severe epilepsy are more vulnerable to stress during the COVID-19 pandemic than others (35). A previous study reported that 28 of 227 cases (12.3%) experienced seizure worsening during the SARS outbreak, which is an infectious disease that spread in 2003 (36). In addition, 49 patients (21.6%) did not receive antiseizure medications due to loss of contact with medical care providers (36). Of note, the proportion of people with increased seizures due to COVID-19 was higher than that of people with increased seizures due to the SARS outbreak (SARS: 12.3% vs. COVID-19: 18.5%). This suggests that COVID-19 not only has a larger area of prevalence than SARS but also a greater impact on each person, such as patients with epilepsy. In addition, the prolonged duration of the pandemic, unlike SARS in 2003, may have contributed to the increase in seizures. As a limitation, the heterogeneity in the meta-analysis was very high (I2=96%). We performed subgroup analyses after excluding studies that included reporting by caregivers. This is because seizure worsening reported by caregivers may include the fact that home confinement during lockdown resulted in caregivers conducting observations more carefully (detection bias). However, even in the subgroup analysis by participants or validity of the measurement, the heterogeneity did not improve. These results indicate that the incidence of seizure worsening may vary greatly by study geography, such as the country or region where the study was conducted, the study period, and the condition of the disease, such as the severity of epilepsy or the presence of complications.

Conclusion

We investigated seizure worsening in patients with epilepsy during the COVID-19 pandemic by performing a systematic review and meta-analysis. Although the heterogeneity was high, our results showed a relatively high incidence of seizure worsening. During the COVID-19 pandemic, physicians need to be aware of the worsening of seizures in patients with epilepsy. The authors state that they have no Conflict of Interest (COI).

Financial Support

This work was supported by Internal Regulations on Tohoku University Advanced Graduate School Pioneering Research Support Project for PhD Students (grant number J210002127). Risk of Bias assessment for each article. Click here for additional data file.
  35 in total

1.  Experience during COVID-19 lockdown and self-managing strategies among caregivers of children with epilepsy: A study from low middle income country.

Authors:  Jithangi Wanigasinghe; Ashan Jayawickrama; Gemunu Hewawitharana; Jagath Munasinghe; Chathurika T Weeraratne; Pyara Ratnayake; Dimuthu S Wijesekara; Sanjaya Fernando; Priyanka Rupasinghe
Journal:  Seizure       Date:  2020-12-08       Impact factor: 3.184

2.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

3.  Incidence of anxiety in epilepsy during coronavirus disease (COVID-19) pandemic.

Authors:  Mehri Salari; Masoud Etemadifar; Koroush Gharagozli; Koorosh Etemad; Farzad Ashrafi; Helia Ashourizadeh
Journal:  Epilepsy Behav       Date:  2020-09-17       Impact factor: 2.937

4.  Recalling the COVID-19 lockdown: Insights from patients with epilepsy.

Authors:  Kristijonas Puteikis; Arminas Jasionis; Rūta Mameniškienė
Journal:  Epilepsy Behav       Date:  2020-11-29       Impact factor: 2.937

5.  The Impact of the COVID-19 Pandemic on People With Epilepsy. An Italian Survey and a Global Perspective.

Authors:  Barbara Mostacci; Laura Licchetta; Carlotta Cacciavillani; Lidia Di Vito; Lorenzo Ferri; Veronica Menghi; Carlotta Stipa; Patrizia Avoni; Federica Provini; Lorenzo Muccioli; Luca Vignatelli; Stefania Mazzoni; Paolo Tinuper; Francesca Bisulli
Journal:  Front Neurol       Date:  2020-12-18       Impact factor: 4.003

6.  Impact of COVID-19 on the lives and psychosocial well-being of persons with epilepsy during the third trimester of the pandemic: Results from an international, online survey.

Authors:  Charissa Millevert; Stijn Van Hees; Joseph Nelson Siewe Fodjo; Veerle Wijtvliet; Edlaine Faria de Moura Villela; Barbara Rosso; Antonio Gil-Nagel; Sarah Weckhuysen; Robert Colebunders
Journal:  Epilepsy Behav       Date:  2021-01-29       Impact factor: 3.337

7.  Impacts of the COVID-19 pandemic on Iranian patients with epilepsy.

Authors:  Ali A Asadi-Pooya; Mohsen Farazdaghi; Mehdi Bazrafshan
Journal:  Acta Neurol Scand       Date:  2020-07-22       Impact factor: 3.915

8.  Influence of the COVID-19 outbreak in people with epilepsy: Analysis of a Spanish population (EPICOVID registry).

Authors:  Alvaro Sanchez-Larsen; Esther Gonzalez-Villar; Inmaculada Díaz-Maroto; Almudena Layos-Romero; Álvaro Martínez-Martín; Cristian Alcahut-Rodriguez; Alberto Grande-Martin; David Sopelana-Garay
Journal:  Epilepsy Behav       Date:  2020-09-07       Impact factor: 2.937

9.  Epilepsy course during COVID-19 pandemic in three Italian epilepsy centers.

Authors:  Corrado Cabona; Francesco Deleo; Lucio Marinelli; Daniela Audenino; Dario Arnaldi; Francesca Rossi; Roberta Di Giacomo; Claudia Buffoni; Giuseppa Jolanda Rosa; Giuseppe Didato; Eleonora Arboscello; Marco de Curtis; Flavio Villani
Journal:  Epilepsy Behav       Date:  2020-08-25       Impact factor: 2.937

10.  COVID-19 outbreak: The impact of stress on seizures in patients with epilepsy.

Authors:  Shanshan Huang; Chunmei Wu; Yuchao Jia; Guo Li; Zhou Zhu; Kai Lu; Yuyan Yang; Furong Wang; Suiqiang Zhu
Journal:  Epilepsia       Date:  2020-08-06       Impact factor: 5.864

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