Outcomes of seizures, status epilepticus, and EEG findings in critically ill patient with COVID-19

Clinical outcomes of patients with seizure admitted for COVID-19: Findings from the Philippine CORONA study

Objective

Seizure is one of the neurologic manifestations of coronavirus disease 2019 (COVID-19) infection. There are few studies focused on the outcome of hospitalized patients with COVID-19 and seizure.

Methods

This was a subgroup analysis of patients with seizure based on a nationwide, multicenter, retrospective study of COVID-19 patients admitted in 37 hospitals in the Philippines.

Results

A total of 10,881 patients with COVID-19 infection were included. Among these, 27 (0.2 %) patients had pre-existing seizure/epilepsy and 125 (1.1 %) had new-onset seizure. The patients with pre-existing seizure/epilepsy had a mean age of 49 years and majority were males (63.0 %). The patients with new-onset seizure had a mean age of 57 years and majority were males (60.5 %). Among patients with pre-existing seizure/epilepsy, there were no significant differences in the proportion of severe/critical COVID-19 (p = 0.131), all-cause mortality (p = 0.177), full/partial neurologic recovery (p = 0.190), ventilator use (p = 0.106), length of intensive care unit stay (p = 0.276), and length of hospitalization (p = 0.591). Patients with new-onset seizure were 2.65 times more likely to have severe/critical COVID-19 infection (p < 0.001), 3.12 times more likely to die (p < 0.001), and 3.51 times more likely to require a ventilator (p < 0.001) than those without new-onset seizure. New-onset seizure, however, was not significantly associated with full/partial neurologic recovery (p = 0.184) and prolonged length of hospitalization (p = 0.050).

Conclusion

Severe/critical COVID-19 infection, higher mortality rate, and use of a ventilator were significantly higher among patients with new-onset seizure but not among patients with pre-existing seizure/epilepsy.

Spectrum of EEG Abnormalities in COVID-19 Patients

PURPOSE

Neurologic involvement is commonly reported in coronavirus disease (COVID-19) patients. The published literature regarding the COVID-19-related neurophysiological findings, including the EEG findings, is still quite limited. The objective of this study was to evaluate the EEG findings in patients with a COVID-19 infection and look for a possible correlations and prognosis.

METHODS

This is an inpatient hospital-based retrospective observational study. All admitted COVID-19 patients undergoing an EEG study between January 1, 2020 and June 30, 2021 were included in this study. EEG was ordered by the primary intensive care physician or a neurologist taking part in the clinical care of patients.

RESULTS

Sixty-six EEG studies in 57 patients were included. Mean age was 62.2 ± 16.3 years with male predominance (65%). Encephalopathy (70%) was the most common indication for an EEG. Background EEG abnormalities were seen in most of the patients (92.4%) with severe abnormalities correlating with the prognosis of the patient. Epileptiform discharges were only seen in 7.5% of the EEGs, with majority of the discharges arising from the frontal region. Mortality reported was high (47%).

CONCLUSIONS

Nonspecific diffuse background EEG abnormalities are commonly seen in COVID-19 patients. Epileptiform discharges are less common but mostly originate from frontal region. Most of these patients also had an abnormal neuroimaging. The significance of this peculiar finding needs further research.

SIGNIFICANCE

Nonspecific background EEG changes are common in COVID-19 patients. Among epileptiform discharges, focal epileptiform discharges arising from the frontal region were common, usually associated with an abnormal neuroimaging.

Clinical manifestations and EEG findings in children infected with COVID-19 and exhibiting neurological symptoms

BACKGROUND

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) infection has many neurological manifestations, and its effects on the nervous system are increasingly recognized. There has been no systematic analysis of electroencephalography (EEG) characteristics in children exhibiting neurological symptoms of Coronavirus disease 2019 (COVID-19). The primary aim of this study was to describe the EEG characteristics caused by COVID-19 infection in children who were showing neurological symptoms and to assess the relationship between COVID-19-related EEG changes and clinical features in these children.

METHOD

This study included 125 pediatric patients infected with SARS-CoV2 and showing neurological symptoms, and their continuous EEG was recorded. In addition, the demographic and clinical characteristics of these patients were analyzed and the correlation between the two was investigated.

RESULTS

Abnormal EEG findings were detected in 31.20% (N = 39) of the patients. Abnormal discharges (43.59%) were the most common EEG abnormalities, followed by background abnormalities (41.03%). The proportion of patients diagnosed with febrile seizure was higher in the normal EEG group than in the abnormal EEG group (P = 0.002), while the opposite was true for epilepsy and encephalitis/encephalopathy (P = 0.016 and P = 0.003, respectively). The independent associated factors of abnormal EEG were age and total length of stay (P < 0.001 and P = 0.003, respectively). Non-specific EEG abnormalities were found in COVID-19-related encephalitis/encephalopathy.

CONCLUSION

Our study corroborated that a small group of pediatric patients infected by COVID-19 and showing neurological symptoms may exhibit abnormal EEG. This study could help improve the understanding of clinical and EEG characteristics in children with COVID-19 and inform triage policies in other hospitals during the COVID-19 pandemic.

New Onset Seizures in Hospitalized COVID-19 Patients; A Systematic Review and Meta-Analysis

Objective

Seizures in COVID-19 patients continue to be a common reason for consulting the neurology service in the inpatient setting. This paper assesses the frequency of new onset seizures in adult hospitalized COVID-19 patients.

Method

PubMed and EMBASE were searched, with fifteen cohort studies identified to calculate the primary outcome, which was the frequency of new onset seizures in hospitalized COVID-19 patients. An inverse variance meta-analysis of single proportions with a random effects model was applied to these cohort studies to calculate the primary outcome. Risk of bias in individual studies was assessed using the 10-item risk of bias tool for prevalence studies.

Results

The meta-analysis revealed a frequency of .71% (95% confidential interval: .32-1.25, I2 = 89%, 147/28242 patients) for acute symptomatic seizures in patients with COVID-19. For secondary outcomes, the risk of seizures in patients who had EEG completed was 8.49% (95% confidential interval: .62-24.07, I2 = 14%, 44/535 patients). Slightly less than half of patients with COVID-19 and seizures were reported to have acute imaging abnormalities (45.7%) with acute vascular insults being commonly reported. Only a small percentage of COVID-19 patients with seizures (2.8%) met the criteria for COVID-19 encephalitis as determined by the international encephalitis consortium.

Conclusion

The frequency of seizures in COVID-19 was .71% (95% confidential interval: .32-1.25). Slightly less than half of COVID-19 patients had head imaging abnormalities as a complication of COVID-19 infection. Only a small percentage of patients with seizures and COVID-19 met the criteria for COVID-19 encephalitis.

Older adults with epilepsy and COVID-19: Outcomes in a multi-hospital health system

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.

Seizures in COVID-19: the relationship between biomarkers and prognosis

OBJECTIVE

To assess the prevalence of seizure, associated risk factors, and prognosis in patients with SARS-CoV-2 infection and identify predictive biomarkers in SARS-CoV-2 patients with seizure.

METHODS

A cohort of 17,806 patients with SARS-CoV-2 infection admitted to two university hospitals in Adana between March 11, 2020 and January 1, 2021 was analyzed retrospectively. The patients' demographic characteristics, laboratory findings, and systemic and neurological symptoms at admission and on the day of seizure onset were evaluated.

RESULTS

Neurological findings were detected in 877 of the 17,806 patients. Of these, 45 patients (0.25%) had seizure (status epilepticus in 4/45 patients, 8.9%). Patients with seizure had a mean age of 55.3 years (range 17-88) and 57.8% were male. Seizure was more common in the 18-44 (24.4%) and ≥ 65 age groups (44.4%) and in those with multiple comorbidity. The case fatality rate for patients with seizure among all SARS-CoV-2 patients was 0.135% (95% CI 80.86-188.71). However, no patient with a previous diagnosis of epilepsy died during SARS-CoV-2 infection. High neutrophil, platelet, and ferritin levels and low lymphocyte and calcium levels on the day of seizure development compared to admission were associated with higher mortality (p = 0.004, 0.008, 0.028, 0003, and 0.002, respectively).

CONCLUSIONS

Seizures are not uncommon during SARS-CoV-2 infection, with a higher risk of mortality in older patients and those with higher inflammatory markers.

In-hospital outcomes in patients with and without epilepsy diagnosed with COVID-19-A cohort study

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.

Chronic Neurological Disorders and Predisposition to Severe COVID-19 in Pediatric Patients in the United States

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.

Prevalence, pathogenesis and spectrum of neurological symptoms in COVID-19 and post-COVID-19 syndrome: a narrative review

Neurological symptoms are not uncommon during severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and reflect a broad spectrum of neurological disorders of which clinicians should be aware. The underlying pathogenesis of neurological disease in coronavirus disease 2019 (COVID-19) may be due to four mechanisms of nervous system dysfunction and injury: i) direct viral neurological invasion; ii) immune dysregulation; iii) endothelial dysfunction and coagulopathy; and iv) severe systemic COVID-19 disease. Neurological manifestations of acute COVID-19 include headache, peripheral neuropathies, seizures, encephalitis, Guillain-Barré syndrome, and cerebrovascular disease. Commonly reported long term neurological sequelae of COVID-19 are cognitive dysfunction and dysautonomia, which despite being associated with severe acute disease are also seen in people with mild disease. Assessment of cognitive dysfunction after COVID-19 is confounded by a high prevalence of comorbid fatigue, anxiety, and mood disorders. However, other markers of neuroaxonal breakdown suggest no significant neuronal injury apart from during severe acute COVID-19. The long term impact of COVID-19 on neurological diseases remains uncertain and requires ongoing vigilance.

A Near-Global Slowing of Background Activity and Epileptic Discharges in Children With Mild to Moderately Symptomatic COVID-19 Infection: An Electro-Neurophysiological Study

Background. To assess the functional involvement of the central nervous system (CNS) via quantitative electroencephalography (EEG) analysis in children with mild to moderate COVID-19 infection who were otherwise previously healthy children. Methods. This prospective, case-control study was conducted between June and September 2020. Sleep EEG records of at least 40 min were planned for children who tested positive for COVID-19 using real-time PCR analysis and within 4-6 months post-recovery. All of the EEG analyses in this study were performed on an Ubuntu 20.04.2 LTS Operating System with the developed software using Python 3.7.6. The quantitative analysis of the epileptic discharges within the EEG records was performed using random forest after elimination of the artifacts with a model training accuracy of 98% for each sample data point. The frequency analysis was performed using the Welch method. Results. Among the age and sex-matched groups, the global mean frequency was significantly lower among the COVID-19 patients, with a P-value of 0.004. The spike slow-wave and sharp slow-wave indices were significantly higher in the patients when compared to the controls. The mean frequency values were significantly lower in almost all of the electrodes recording the frontal, central, and occipital areas. For the temporal and parietal areas, those significantly low mean frequencies were limited to the right hemisphere. Conclusion. A near-global involvement of background activity with decreased frequency, in addition to epileptic discharges, was recorded in mild to moderately COVID-19 infected children post-infection.

The Clinical Neurophysiology of COVID-19- Direct Infection, Long-Term Sequelae and Para-Immunization responses: A literature review

The COVID-19 pandemic resulting from the SARS-CoV-2 virus is in its third year. There is continuously evolving information regarding its pathophysiology and its effects on the nervous system. Clinical neurophysiology techniques are commonly employed to assess for neuroanatomical localization and/or defining the spectrum of neurological illness. There is an evolving body of literature delineating the effects of the SARS-CoV-2 virus on the nervous system as well as para-immunization responses to vaccination against this virus. This review focuses on the use of neurophysiological diagnostic modalities in the evaluation of potential acute and long-term neurological complications in patients that experience direct infection with SARS-CoV-2 and analyzes those reports of para-immunization responses to vaccination against the SARS-CoV-2 virus. The neurophysiological modalities to be discussed include electroencephalography (EEG), evoked potentials (EPs), nerve conduction studies and electromyography (EMG/NCV), autonomic function tests, transcranial magnetic stimulation (TMS) and Transcranial Doppler ultrasound (TCD).

Bioinformatics approach to identify the influences of SARS-COV2 infections on atherosclerosis

Coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been a global pandemic since early 2020. Understanding the relationship between various systemic disease and COVID-19 through disease ontology (DO) analysis, an approach based on disease similarity studies, has found that COVID-19 is most strongly associated with atherosclerosis. The study provides new insights for the common pathogenesis of COVID-19 and atherosclerosis by looking for common transcriptional features. Two datasets (GSE152418 and GSE100927) were downloaded from GEO database to search for common differentially expressed genes (DEGs) and shared pathways. A total of 34 DEGs were identified. Among them, ten hub genes with high degrees of connectivity were picked out, namely C1QA, C1QB, C1QC, CD163, SIGLEC1, APOE, MS4A4A, VSIG4, CCR1 and STAB1. This study suggests the critical role played by Complement and coagulation cascades in COVID-19 and atherosclerosis. Our findings underscore the importance of C1q in the pathogenesis of COVID-19 and atherosclerosis. Activation of the complement system can lead to endothelial dysfunction. The DEGs identified in this study provide new biomarkers and potential therapeutic targets for the prevention of atherosclerosis.

Acute to Chronic Electro-Clinical Manifestations of Neuro-COVID and the Long-Haul Consequences in People With Epilepsy: A Review

Severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) infection can involve the central nervous system (CNS). Acute symptomatic seizures or epileptiform discharges have not been commonly reported in patients with altered mental status related to coronavirus disease 2019 (COVID-19) infection. However, long-term neurological symptoms have been reported after COVID-19 infection (i.e., brain fog, cognitive complaints, and confusion), suggesting chronic encephalopathy. People with epilepsy (PWE) have been specifically affected by the COVID-19 pandemic, with changes in their seizure frequency, quality of life, health care accessibility, and medication interactions. This narrative review highlights possible pathophysiological mechanisms of COVID-19 on the brain, related to short- and long-term epileptiform activity and the impact of this infection on PWE.

Electroencephalography at the height of a pandemic: EEG findings in patients with COVID-19

OBJECTIVE

To characterize continuous video electroencephalogram (VEEG) findings of hospitalized COVID-19 patients.

METHODS

We performed a retrospective chart review of patients admitted at three New York City hospitals who underwent VEEG at the peak of the COVID-19 pandemic. Demographics, comorbidities, neuroimaging, VEEG indications and findings, treatment, and outcomes were collected.

RESULTS

Of 93 patients monitored, 77% had severe COVID-19 and 40% died. Acute ischemic or hemorrhagic stroke was present in 26% and 15%, respectively. Most common VEEG indications were encephalopathy/coma (60%) and seizure-like movements (38%). Most common VEEG findings were generalized slowing (97%), generalized attenuation (31%), generalized periodic discharges (17%) and generalized sharp waves (15%). Epileptiform abnormalities were present in 43% and seizures in 8% of patients, all of whom had seizure risk factors. Factors associated with an epileptiform VEEG included increasing age (OR 1.07, p = 0.001) and hepatic/renal failure (OR 2.99, p = 0.03).

CONCLUSIONS

Most COVID-19 patients who underwent VEEG monitoring had severe COVID-19 and over one-third had acute cerebral injury (e.g., stroke, anoxia). Seizures were uncommon. VEEG findings were nonspecific.

SIGNIFICANCE

VEEG findings in this cohort of hospitalized COVID-19 patients were those often seen in critical illness. Seizures were uncommon and occurred in the setting of common seizure risk factors.

COVID-19 and the Brain

Entering the third year into the pandemic, overwhelming evidence demonstrates that Coronavirus disease 2019 (COVID-19) infection is a systemic illness, often with involvement of the central nervous system. Multiple mechanisms may underlie the development of neurologic manifestations of illness, including hypoxia, systemic illness, hypercoagulability, endothelial dysfunction, general critical illness, inflammatory response, and neurotropism of the severe acute respiratory syndrome coronavirus 2 (SARS-Co-V2) virus. COVID-19 infection is associated with neurologic involvement in all stages; acute infection, subacute/post-infection, and growing evidence also suggests during a chronic phase, the post-acute sequalae of COVID-19 (PASC). With over 20,000 published articles on COVID and the brain at the time of writing, it is virtually impossible to present an unbiased comprehensive review of how SARS-Co-V2 impacts the nervous system. In this review, we will present an overview of common neurologic manifestations, in particular focusing on the cerebrovascular complications, and proposed pathophysiology.

Evaluation and Treatment of Seizures and Epilepsy During the COVID-19 Pandemic

Purpose of Review

Seizures, including status epilepticus, have been reported in association with acute COVID-19 infection. People with epilepsy (PWE) have suffered from seizure exacerbations during the pandemic. This article reviews the data for clinical and electrographic seizures associated with COVID-19, technical EEG considerations for reducing risk of transmission, and factors contributing to seizure exacerbations in PWE as well as strategies to address this issue.

Recent Findings

An increasing number of studies of larger cohorts, accounting for a variety of variables and often utilizing EEG with standardized terminology, are assessing the prevalence of seizures in hospitalized patients with acute COVID-19 infections, and gaining insight into the prevalence of seizures and their effect on outcomes. Additionally, recent studies are evaluating the effect of the pandemic on PWE, barriers faced, and the usefulness of telehealth.

Summary

Although there is still much to learn regarding COVID-19, current studies help in assessing the risk of seizures, guiding EEG utilization, and optimizing the use of telehealth during the pandemic.

Analysis of neurology consultations in hospitalized patients with COVID-19

OBJECTIVE

The aim of this study was to evaluate patients who were hospitalized with a diagnosis of COVID-19 and were consulted by neurology during their hospital stay.

METHODS

All files of patients with COVID-19 who were admitted to Cerrahpasa Medical Faculty Hospital between March 11th and December 31st, 2020 were retrospectively reviewed, and files of patients who consulted by neurology during their stay were included. Demographic and clinical characteristics, neurologic diagnosis, outcome and related laboratory data were extracted from electronic medical records and analyzed. Patients were categorized into the first wave and second wave according to the date of hospitalization.

RESULTS

A total of 2257 patients were hospitalized for COVID-19; among them, 127 were consulted by a neurologist during their hospital stay. Fifteen patients received a consultation for possible drug interactions. Among the remaining 112 patients, the reason for neurology consultation was i. exacerbation of a neurological comorbidity vs ii. new-onset neurological manifestations. The median age was 68.5 ± 14.2 years, and 60.7% were men. Dementia and stroke were the leading neurological comorbidities. COVID-19 disease was more severe in the patients with the new-onset neurological comorbidity than in patients with exacerbation of a neurological comorbidity (p = 0.07). Serum creatinine kinase levels were higher in the new-onset patient group (p < 0.05). Exacerbation of previous neurological disease or new neurological impairment were jointly and severely related to high mortality (overall 35/112 vs 275/2145, p < 0.001; exacerbation 12/45 vs 275/2145 p < 0.01; new-onset 23/67 vs 275/2145, p < 0.001).

CONCLUSION

Serious neurological involvement is relatively uncommon in hospitalized patients with COVID-19 and is associated with increased mortality.

Worldwide epidemiology of neuro-coronavirus disease in children: lessons for the next pandemic

PURPOSE OF REVIEW

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic has overwhelmed the global community, negatively impacting patient health and research efforts; associated neurological manifestations are a significant cause of morbidity. This review outlines the worldwide epidemiology of neurologic manifestations of different SARS-CoV-2 clinical pediatric phenotypes, including acute coronavirus disease 2019 (COVID-19), multisystem inflammatory syndrome in children (MIS-C) and postacute sequelae of COVID-19 (PASC). We discuss strategies to develop adaptive global research platforms for future investigation into emerging pediatric neurologic conditions.

RECENT FINDINGS

Multicenter, multinational studies show that neurological manifestations of acute COVID-19, such as smell/taste disorders, headache, and stroke, are common in hospitalized adults (82%) and children (22%), associated with increased mortality in adults. Neurological manifestations of MIS-C are reported in up to 20% of children, including headache, irritability, and encephalopathy. Data on PASC are emerging and include fatigue, cognitive changes, and headache. Reports of neurological manifestations in each phenotype are limited by lack of pediatric-informed case definitions, common data elements, and resources.

SUMMARY

Coordinated, well resourced, multinational investigation into SARS-CoV-2-related neurological manifestations in children is critical to rapid identification of global and region-specific risk factors, and developing treatment and mitigation strategies for the current pandemic and future health neurologic emergencies.

A follow-up study of patients with COVID-19 presenting with seizures

OBJECTIVE

We performed a follow-up study of patients with COVID-19 presenting with seizures.

METHODS

All consecutive patients with seizures, who were referred to Namazee Hospital, Shiraz, Iran, with a diagnosis of COVID-19, from 10 August 2020 until 20 October 2020 were included in this longitudinal study. The clinical data were collected by the admitting physician. In a follow-up phone call to the discharged patients (after eight weeks or more), we inquired their seizure outcome.

RESULTS

In total, 32 patients were studied; 28 patients were followed. Twelve patients (37.5%) presented with a single tonic-clonic seizure and nine (28.1%) had convulsive status epilepticus; one patient had functional (psychogenic) seizures. Ten patients (31.3%) had pre-existing epilepsy, eight others (25%) had pre-existing CNS problems (without epilepsy), one person (3.1%) had pre-existing functional seizures, and 13 individuals (40.1%) neither had epilepsy nor had other CNS problems. Eight patients (28.6%) reported experiencing seizure(s) after being discharged from the hospital; six of these had pre-existing epilepsy and one had pre-existing functional seizures. One patient, who had a newly developed ischemic brain infarction, reported experiencing recurrent seizures.

CONCLUSION

Seizures in patients with COVID-19 are either acute symptomatic (in about two-thirds) or an exacerbation of a pre-existing epilepsy/functional seizures (in about one-third). A thorough investigation of the underlying etiology of seizures in patients with COVID-19 is necessary. Seizure outcome in patients, who are hospitalized with COVID-19 and seizures, is generally good.

Post-covid-19 neurological syndromes

The article highlights the pathogenesis, clinical manifestations of lesions of the central and peripheral nervous system that have arisen or persist in patients in the postcoid period (Long-COVID-19). Their correct assessment, the use of effective methods of complex treatment, targeted neurorehabilitation contribute to the reversibility of functional disorders, prevention, reduction of disability, improvement of quality of life indicators, prevention of the progression of cognitive, emotional, behavioral disorders initiated by SARS-CoV-2.