Large datasets from Electronic Health Records predict seizures after ischemic strokes: A Machine Learning approach.

Objective: To develop an artificial intelligence, machine learning prediction model for estimating the risk of seizures 1 year and 5 years after ischemic stroke (IS) using a large dataset from Electronic Health Records. Background: Seizures are frequent after ischemic strokes and are associated with increased mortality, poor functional outcomes, and lower quality of life. Separating patients at high risk of seizures from those at low risk of seizures is needed for treatment and clinical trial planning, but remains challenging. Machine learning (ML) is a potential approach to solve this paradigm. Design/Methods: We identified patients (aged ≥18 years) with IS without a prior diagnosis of seizures from 2015 until inception (08/09/22) in the TriNetX Research Network, using the International Classification of Diseases, Tenth Revision (ICD-10) I63, excluding I63.6 (venous infarction). The outcome of interest was any ICD-10 diagnosis of seizures (G40/G41) at 1 year and 5 years following the index IS. We applied a conventional logistic regression and a Light Gradient Boosted Machine algorithm to predict the risk of seizures at 1 year and 5 years. The performance of the model was assessed using the area under the receiver operating characteristics (AUROC), the area under the precision-recall curve (AUPRC), F1 statistic, model accuracy, balanced accuracy, precision, and recall, with and without anti-seizure medication use in the models. Results: Our study cohort included 430,254 IS patients. Seizures were present in 18,502 (4.3%) and (5.3%) patients within 1 and 5 years after IS, respectively. At 1-year, the AUROC, AUPRC, F1 statistic, accuracy, balanced-accuracy, precision, and recall were respectively 0.7854 (standard error: 0.0038), 0.2426 (0.0048), 0.2299 (0.0034), 0.8236 (0.001), 0.7226 (0.0049), 0.1415 (0.0021), and 0.6122, (0.0095). Corresponding metrics at 5 years were 0.7607 (0.0031), 0.247 (0.0064), 0.2441 (0.0032), 0.8125 (0.0013), 0.7001 (0.0045), 0.155 (0.002) and 0.5745 (0.0095). Conclusion: Our findings suggest that ML models show good model performance for predicting seizures after IS.

Post-stroke Everything.

PURPOSE OF REVIEW: This review aims at providing updates on selected post-stroke complications. We examined recent advances in diagnosing and treating the following post-stroke complications: cognitive impairment, epilepsy, depression, fatigue, tremors, dysphagia, and pain. RECENT FINDINGS: Advances in understanding the mechanisms of post-stroke complications, in general, are needed despite advances made in understanding, treating, and preventing these complications. There are growing progresses in integrating new tools to diagnose post-stroke cognitive impairment. The potential role of acute stroke reperfusion treatment in post-stroke epilepsy and its impact on other stroke complications is getting more transparent. Post-stroke depression remains underestimated and new tools to diagnose depression after stroke are being developed. New promising pharmacological approaches to treating post-stroke pain are emerging. Tremors related to stroke are poorly understood and under-evaluated, while treatment towards post-stroke dysphagia has benefited from new non-pharmacological to pharmacological approaches. CONCLUSIONS: An integrative approach to stroke complications and collaborations between providers across specialties are more likely to improve stroke outcomes.

Associations of small vessel disease and acute symptomatic seizures in ischemic stroke patients.

BACKGROUND AND PURPOSE: Cerebral microbleeds (CMBs), markers of small vessel disease are frequent in ischemic stroke, yet the association with acute symptomatic seizures (ASS) has not been well characterized. METHODS: A retrospective cohort of hospitalized patients with anterior circulation ischemic stroke. The association of CMBs with acute symptomatic seizures was assessed using a logistic regression model and causal mediation analysis. RESULTS: Of 381 patients, 17 developed seizures. Compared with patients without CMBs, those with CMBs had a three-fold higher unadjusted odds of seizures (unadjusted OR: 3.84, 95% 1.16-12.71, p = 0.027). After adjusting for confounders such as stroke severity, cortical infarct location, and hemorrhagic transformation, the association between CMBs and ASS was attenuated (adjusted OR: 3.11, 95%CI: 0.74-11.03, p = 0.09). The association was not mediated by stroke severity. CONCLUSION: In this cohort of hospitalized patients with anterior circulation ischemic stroke, CMBs were more likely to be found in patients with ASS than those without ASS, an association that was attenuated when accounting for stroke severity, cortical infarct location, and hemorrhagic transformation. Evaluation of the long-term risk of seizures associated with CMBs and other markers of small vessel disease is warranted.

Use of Integrative, Complementary, and Alternative Medicine in Children with Epilepsy: A Global Scoping Review.

(1) Background: Epilepsy is one of the most common chronic neurological disorders in childhood. Complementary and alternative medicine (CAM) use is highly prevalent in patients with epilepsy. Despite CAM's widespread and increasing popularity, its prevalence, forms, perceived benefits, and potential risks in pediatric epilepsy are rarely explored. (2) Methods: We performed a scoping review of the available literature on the use of CAM in pediatric epilepsy. (3) Results: Overall, global cross-sectional studies showed a variable degree of CAM usage among children with epilepsy, ranging from 13 to 44% in prevalence. Popular types of CAMs reported were supplements, cannabis products, aromatherapy, herbal remedies, dietary therapy, massage therapy, and prayer. Families often report that CAM is effective, although there are limited objective measures of this. Potential risks lie in the use of CAM, such as herbal remedies, and/or unregulated, contaminated, or unpurified products. Studies also underscored inadequate patient-physician discussions regarding CAM. (4) Conclusions: A better understanding of this topic would aid clinicians in guiding patients/families on the use of CAM. Further studies on the efficacy of the different types of CAM used, as well as potential side effects and drug interactions are needed.

Prevalence and prognosis of seizures among patients undergoing mechanical thrombectomy for acute ischemic stroke: A look at pre-2015 aha/asa guidelines update regarding endovascular treatment.

BACKGROUND: Mechanical Thrombectomy (MT) is standard of care for eligible patients with Acute Ischemic Stroke (AIS) due to large vessel occlusion (LVO). With increasing use of MT, clinicians are more likely to encounter seizures, a potential complication of AIS treated with MT. Tracking future trends in the burden of post-stroke seizure associated with MT will require baseline pre-approval benchmark estimates of its frequency and outcomes. METHODS: All patients with AIS who underwent MT (International Classification of Diseases, Ninth Revision, Clinical Modification; ICD-9-CM procedure code: 39.74) were identified from the National Inpatient Sample (NIS) 2006-2014, using appropriate ICD-9-CM codes. We identified a subset of patients with seizures using ICD-9-CM secondary discharge diagnoses codes 780.3x and 345.x. We computed the rate of seizures overall and across pre-specified demographic, clinical, and healthcare system-related variables. Finally, we assessed the independent association of mortality with seizures using a multivariable logistic regression model. RESULTS: Of 30137 (weighted) patients with AIS who underwent MT, 1,363 (4.5%) had seizures. Patients who had seizures were younger, privately insured, or Medicaid beneficiaries, and frequently died in the hospital. There were no statistically significant differences between the seizures and no-seizures groups by race, sex, IV thrombolysis with recombinant tissue plasminogen activator, length of stay, and the number of medical comorbidities. However, patients who underwent MT and developed seizures had 75% higher odds of in-hospital mortality (adjusted OR 95% CI 1.75; 1.22-2.49). CONCLUSION: In this nationwide sample, prior to the 2015 AHA/ASA guidelines update supporting MT use, seizures occurred in one of twenty patients with AIS treated with MT, and occurrence of seizure was independently associated with a nearly two-fold increase in the odds of in-hospitality death.

The association of multiple chronic conditions and healthcare expenditures among adults with epilepsy in the United States.

RATIONALE: Epilepsy is a frequent neurologic condition with important financial strains on the US healthcare system. The co-occurrence of multiple chronic conditions (MCC) may have additional financial repercussions on this patient population. We aimed to assess the association of coexisting chronic conditions on healthcare expenditures among adult patients with epilepsy. METHODS: We identified a total of 1,942,413 adults (≥18 years) with epilepsy using the clinical classification code 83 from the MEPS-HC (Medical Expenditure Panel Survey Household Component) database between 2003 and 2014. Chronic conditions were selected using the clinical classification system (ccs), and categorized into 0, 1, or 2 chronic conditions in addition to epilepsy. We computed unadjusted healthcare expenditures per year and per individual (total direct healthcare expenditure, inpatient expenditure, outpatient expenditure, prescription medication expenditure, emergency room visit expenditure, home healthcare expenditure and other) by number of chronic conditions. We applied a two-part model with probit (probability of zero vs non-zero cost) and generalized linear model (GLM) gamma family and log link (for cost greater than zero) to examine the independent association between chronic conditions, and annual expenditures per individual, generating incremental costs with 0 chronic condition as reference. RESULTS: Over half of the patients with epilepsy had at least two chronic conditions (CC). Yearly, for each patient with one and two chronic conditions, unadjusted total healthcare expenditures were two times ($10,202; 95 %CI $6,551-13,853) to nearly three times ($21,277; 95 %CI $12,971-25,583) higher than those with no chronic conditions ($6,177; 95 %CI $4,895-7,459), respectively. In general healthcare expenditures increased with the number of chronic conditions for pre-specified cost categories. The incremental (adjusted) total healthcare expenditure increased with the number of chronic conditions (1CC vs 0 CC: $3,238; 95 %CI $524-5,851 p-value = 0.015 and ≥2 CC vs 0 CC: $8,145; 95 %CI $5,935-10,895 p-value < 0.001). In general, for all cost categories, incremental healthcare expenditures increased with the number of chronic conditions with the largest increment noted between those with 2 CC and those with 0 CC for inpatient ($2,025: 95 %CI $867-3,1830), outpatient ($2,141; 95 %CI $1,321-2,962), and medication ($1,852; 95 %CI $1,393-2,310). CONCLUSION: Chronic conditions are frequent among adult patients with epilepsy and are associated with a dose-response increase in healthcare expenditure, a difference driven by inpatient, outpatient, and medication prescription expenditures. Greater coordination of epilepsy care accounting for the presence of multiple chronic conditions may help lower the cost of epilepsy.

Decompressive hemicraniectomy for stroke by race/ethnicity in the United States.

Objective: Racial and ethnic differences in the performance of indicated neurosurgical procedures have been reported. However, it is not clear whether there are racial or ethnic differences in the performance of decompressive hemicraniectomy (DHC) for acute ischemic stroke. This study evaluated the rate, trends, and independent association of race and ethnicity with DHC among hospitalized ischemic stroke patients in the United States. Materials and methods: We used the International Classification of Diseases, Clinical Modification (ICD-9-CM) to identify adult patients (18-year-old and older) with a primary discharge diagnosis of ischemic stroke, excluding those with a posterior circulation ischemic stroke in the Nationwide Inpatient Sample between 2006 and 2014. We computed the rate and trends of DHC. We then applied a multivariable logistic regression model to evaluate the independent association of race with DHC. Results: A total 715,649 patients had anterior ischemic stroke, including 1514 who underwent DHC (2.1 per 1000). The rate of DHC increased overall from 1 per 1000 in 2006 to 3 per 1000 in 2014. Similar upward trends were noted among Non-Hispanic Whites, Non-Hispanic Blacks, and Hispanics. Hispanics with anterior ischemic stroke were 1.28 times more likely than non-Hispanic Whites to have DHC but no difference was observed between Non-Hispanic Blacks and Non-Hispanic Whites. Conclusions: In this nationally representative sample of patients with anterior ischemic strokes, being of Hispanic ethnicity was independently associated with a higher frequency of receiving DHC compared to being Non-Hispanic White. Future studies should confirm this difference and explore the underlying reasons for it.

Prevalence, predictors, and prognosis of mortality among elderly stroke patients with convulsive status epilepticus in the United States.

BACKGROUND: Stroke is the most common cause of epilepsy in the elderly. However, despite the high mortality typically associated with convulsive status epilepticus (CSE), there is a dearth of nationwide data on the magnitude and association of CSE with mortality among hospitalized elderly with stroke in the United States. METHODS: We analyzed the 2006-2014 National Inpatient Sample (NIS) to identify elderly patients (65+ years) with a primary discharge diagnosis of stroke using the International Classification of Diseases, Ninth Revision-Clinical Modification (ICD-9-CM) codes 433.X1, 434.X1, 436, 430, 431, 432.0, 432.1, and 432.9. We examined a subgroup with a secondary discharge diagnosis of convulsive status epilepticus (ICD-9-CM: 345.3). We estimated the hospital mortality rate by CSE status and then evaluated the independent association of CSE and other key factors with mortality among hospitalized elderly with stroke. RESULTS: A total of 1220 elderly patients (0.14%) had a secondary discharge diagnosis of CSE. Inpatient mortality rate was 25.8% among those with CSE vs. 7.7% for non-CSE patients. CSE was independently associated with a 4-fold increased odds of in-hospital death. Increased age, medical comorbidities, weekend admissions, being a Medicare beneficiary, and hospitalization in large urban teaching hospitals were also independently associated with a greater likelihood of in-hospital death. The small number of events did not allow analysis by stroke subtypes. CONCLUSION: While CSE occurs in just 14 of 10,000 hospitalized elderly stroke patients in the United States, it is associated with a 4-fold higher odds of in-hospital death.

Birth prevalence of neural tube defects in eastern Africa: a systematic review and meta-analysis.

BACKGROUND: Neural tube defects (NTDs) are associated with high rates of neonatal mortality and morbidity worldwide. The promotion of folic acid fortification and supplementation in pregnant women by the Food and Drug Administration significantly decreased the incidence of NTDs in the United States. This practice is not widely adopted in Eastern Africa countries. We hypothesized that these countries experience a higher burden of NTDs than countries that promote the use of folic acid. We aimed to estimate the birth prevalence of NTDs in the United Nations (UN) Eastern African region. METHODS: PubMed (Medline), Embase, and Cochrane Library databases were systematically searched from inception to December 17, 2021. We included randomized controlled trials or observational studies that reported the prevalence estimates of NTDs in Eastern Africa. Random effects model was used to pool the effect estimates. The GRADE (Grading of Recommendations, Assessment, Development and Evaluation) approach was used to assess the certainty of the evidence. Outcome measures were overall and specific (spina bifida, anencephaly, encephalocele) rates of NTDs per 10,000 births, including live and stillborn cases. RESULTS: The meta-analysis included 20 studies consisting of 752,936 individuals. The pooled prevalence of all NTDs per 10,000 births in Eastern Africa was 33.30 (95% CI: 21.58 to 51.34). Between-study heterogeneity was high (I2 = 97%, p < 0.0001), The rate was highest in Ethiopia (60 per 10,000). Birth prevalence of spina bifida (20 per 10,000) was higher than anencephaly (9 per 10,000) and encephalocele (2.33 per 10,000). No studies on NTDs were identified in 70% of the UN Eastern Africa region. Birth prevalence increased by 4% per year from 1983 to 2018. The level of evidence as qualified with GRADE was moderate. CONCLUSION: The birth prevalence of NTDs in the United Nations region of Eastern Africa is 5 times as high as observed in Western countries with mandatory folic acid supplementation in place. Therefore, mandatory folic acid supplementation of stable foods may decrease the risk of NTDs in Eastern Africa.

Poststroke Seizures and the Risk of Dementia Among Young Stroke Survivors.

BACKGROUND: The impact of new onset seizures in young stroke survivors on the subsequent development of dementia is poorly understood. This study aimed to assess the association between new onset of seizure and dementia in a population-based study of stroke patients. METHODS: The IBM Watson Health MarketScan® Commercial Claims and Encounters database, for the years 2005-2014 served as the data source for this study. Using the International Classification of Diseases, Ninth Revision (ICD-9), we identified patients aged 18-60 years with ischemic strokes, IS (433.x1, 434.x1, and 436) and hemorrhagic strokes, HS (430, 431, 432.0, 432.1, and 432.9) between January 1, 2006, and December 31, 2009, which constituted our baseline study cohort. At baseline, all included participants were free of claims for dementia, brain tumors, toxin exposure, traumatic brain injury, and neuro-infectious diseases, identified using ICD-9 codes. They had at least 1-year continuous enrollment before the index stroke diagnosis and 5 years after, with no seizure claims within 1 year after the index date. The exposure of interest was seizures: a time-dependent variable. The study outcome of interest was dementia (ICD-9: 290.0, 290.10-13, 290.20-21, 290.3, 290.40-43, 291.2, 292.82, 294.10-11, 294.20-21, 294.8, 331.0, 331.11, 331.19, and 331.82), which occurred during the follow-up period from January 1, 2010, to December 31, 2014. A Cox proportional hazards regression model was applied to calculate the hazard ratio (HR) and 95% confidence interval (CI) for the independent association of seizures with the occurrence of dementia. FINDINGS: At the end of the baseline period, we identified 23,680 stroke patients (IS: 20,642 and HS: 3,038). The cumulative incidence of seizure was 6.7%, 6.4%, and 8.3% for all strokes, IS, and HS, respectively. The cumulative incidence of dementia was 1.3%, 1.4%, and 0.9% for all strokes, IS, and HS, respectively. After multivariable adjustment, young patients with stroke who developed seizures had a greater risk of dementia compared with those without seizures (All strokes adjusted HR: 2.53, 95%CI 1.84-3.48; IS: 2.52, 1.79-3.53; HS: 2.80, 1.05-7.43). CONCLUSION: These findings suggest that the onset of seizures in young stroke survivors is associated with a 2.53 times increased risk of developing dementia. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that post stroke seizures increase the probability of dementia in young stroke survivors.

Prevalence and Predictors of Stroke in Patients with Crohn's Disease: A Nationwide Study.

OBJECTIVES: Mounting evidence points to the microbiome as a susceptibility factor for neurological disorders. Patients with Crohn's disease (CD) are at higher ischemic stroke (IS) risk, but no large scale epidemiologic studies have identified risk factors for stroke in this population. MATERIALS AND METHODS: We analyzed the 2017 Nationwide Inpatient Sample (NIS) dataset to identify patients with a discharge diagnosis of Crohn's disease using the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) code K50.X. We identified patients with a primary/secondary discharge diagnosis of IS using ICD-10-CM code I63.X. We compared sociodemographic and clinical variables between stroke and non-stroke patients with CD. Logistic regression analysis was applied to identify factors associated with IS. RESULTS: Of 30,212 patients with CD, 369 (1.2 %) had a discharge diagnosis of IS. Older age (odds ratio [OR], 1.03 [95% CI, 1.02-1.04], top quartile income (OR, 1.58 [95% CI, 1.10-2.30]), and hospitalization in a South Atlantic (OR, 1.82 [95% CI, 1.11-3.14]), East South Central (OR, 2.30 [95% CI, 1.28-4.25]), or West South Central hospital (OR, 2.40 [95% CI, 1.39-4.28]) were independently associated with IS. Clinical variables independently associated with IS in patients with CD included: atrial fibrillation (OR, 1.66 [95% CI, 1.15-2.33]), atherosclerosis (OR, 2.41 [95% CI, 1.32-4.10]), hyperlipidemia (OR, 1.69 [95% CI, 1.33-2.15]), hypertension (OR, 1.53 [95% CI, 1.18-1.98]) and valvular disease (OR, 1.62 [95% CI, 1.01-2.48). CONCLUSION: A subset of traditional stroke risk factors are associated with IS in patients with CD. CD patients with these conditions could be targeted for vascular risk reduction and surveillance.

Short-term and Long-term Rates of Postacute Sequelae of SARS-CoV-2 Infection: A Systematic Review.

Importance: Short-term and long-term persistent postacute sequelae of COVID-19 (PASC) have not been systematically evaluated. The incidence and evolution of PASC are dependent on time from infection, organ systems and tissue affected, vaccination status, variant of the virus, and geographic region. Objective: To estimate organ system-specific frequency and evolution of PASC. Evidence Review: PubMed (MEDLINE), Scopus, the World Health Organization Global Literature on Coronavirus Disease, and CoronaCentral databases were searched from December 2019 through March 2021. A total of 2100 studies were identified from databases and through cited references. Studies providing data on PASC in children and adults were included. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines for abstracting data were followed and performed independently by 2 reviewers. Quality was assessed using the Newcastle-Ottawa Scale for cohort studies. The main outcome was frequency of PASC diagnosed by (1) laboratory investigation, (2) radiologic pathology, and (3) clinical signs and symptoms. PASC were classified by organ system, ie, neurologic; cardiovascular; respiratory; digestive; dermatologic; and ear, nose, and throat as well as mental health, constitutional symptoms, and functional mobility. Findings: From a total of 2100 studies identified, 57 studies with 250 351 survivors of COVID-19 met inclusion criteria. The mean (SD) age of survivors was 54.4 (8.9) years, 140 196 (56%) were male, and 197 777 (79%) were hospitalized during acute COVID-19. High-income countries contributed 45 studies (79%). The median (IQR) proportion of COVID-19 survivors experiencing at least 1 PASC was 54.0% (45.0%-69.0%; 13 studies) at 1 month (short-term), 55.0% (34.8%-65.5%; 38 studies) at 2 to 5 months (intermediate-term), and 54.0% (31.0%-67.0%; 9 studies) at 6 or more months (long-term). Most prevalent pulmonary sequelae, neurologic disorders, mental health disorders, functional mobility impairments, and general and constitutional symptoms were chest imaging abnormality (median [IQR], 62.2% [45.8%-76.5%]), difficulty concentrating (median [IQR], 23.8% [20.4%-25.9%]), generalized anxiety disorder (median [IQR], 29.6% [14.0%-44.0%]), general functional impairments (median [IQR], 44.0% [23.4%-62.6%]), and fatigue or muscle weakness (median [IQR], 37.5% [25.4%-54.5%]), respectively. Other frequently reported symptoms included cardiac, dermatologic, digestive, and ear, nose, and throat disorders. Conclusions and Relevance: In this systematic review, more than half of COVID-19 survivors experienced PASC 6 months after recovery. The most common PASC involved functional mobility impairments, pulmonary abnormalities, and mental health disorders. These long-term PASC effects occur on a scale that could overwhelm existing health care capacity, particularly in low- and middle-income countries.

Factors Associated With Prolonged Length of Stay in Patients Hospitalized With Generalized Convulsive Status Epilepticus in the United States.

OBJECTIVE: Generalized convulsive status epilepticus (GCSE) is a severe complication of epilepsy, which typically requires extended hospitalization, resulting in substantial resource utilization, hospital expenditures, and patient costs. In this nationwide analysis, we examined hospital length of stay (LOS) patterns for GCSE, and the factors that influence prolonged LOS. METHODS: We extracted data for adult patients (age 18 years and above) with a primary discharge diagnosis of GCSE from the National Inpatient Sample (NIS) from 2006-2014, the largest all-payer inpatient care database in the United States. We computed LOS (≤1, 2-6, and ≥7 days), overall, and across pre-specified patient-related, hospital-related, and healthcare system-related variables available in the NIS. We identified factors independently associated with prolonged hospitalization (2 or more days), using a multivariable logistic regression model. RESULTS: Of 57,832 discharged with a primary diagnosis of GCSE, 6,133 (10.7%) had a LOS ≤1 day, 27,327 (7.3%) stayed for 2-6 days, and 24,372 (42.1%) stayed for ≥7 days. After adjusting for confounders, patients who were older, female, Black, and Hispanic, who underwent continuous EEG video monitoring, were Medicare beneficiaries, had medical comorbidities, or were admitted to large/urban hospitals, were all significantly more likely to have prolonged LOS. CONCLUSION: Over 40% of patients hospitalized for GCSE in the United States spend at least a week in the hospital. Efforts to shorten hospitalization for GCSE may need to primarily focus on patient groups with select sociodemographic and clinical characteristics.

Racial Disparities in Ischemic Stroke Among Patients with COVID-19 in the United States.

BACKGROUND: Cerebrovascular prevalence is high in patients with coronavirus disease 2019 (COVID-19). However, whether racial disparities exist among this population have not been systematically explored. METHODS: We performed a retrospective study to assess the prevalence of stroke stratified by race among patients aged 18 years or older with COVID-19 who visited emergency department (ED) up to August 13, 2020 in the United States (US). We used multivariable logistic regression to compare the odds of stroke in Black patients with COVID-19 compared to their non-Black counterparts while adjusting for the major potential confounders. RESULTS: Among 8815 patients with ED visits with COVID-19, 77 (0.87%), 95% confidence interval CI (95% CI): 0.69% to 1.10%) had ischemic stroke. The mean age of patients with stroke was 64 years (SD: 2 years); 28 (43%) were men, 55 (71%) had hypertension, and 29 (50%) were Black. The prevalence of ischemic stroke in Blacks, non-Hispanic Whites and Hispanics was 1.26% (95% CI: 0.86% to 1.83%), 0.84% (95% CI: 0.51% to 1.37%) and 0.49% (95% CI: 0.26% to 0.88%) respectively. After adjustment for age, sex, hypertension, diabetes, obesity, drinking and smoking, the likelihood of stroke was higher in Black than non-Black patients (adjusted odds ratio, 2.76; 95% CI, 1.13 to 7.15, p=0.03). CONCLUSIONS: Racial disparities in the prevalence of stroke among patients with COVID-19 exist, higher in Black population.

Contemporary trends in antiepileptic drug treatment among women of childbearing age with epilepsy in the United States: 2004-2015.

OBJECTIVE: Certain antiepileptic drugs are associated with an increased risk for major congenital malformations (MCM). However, little is known regarding recent patterns of antiepileptic drug (ASM) prescriptions to women of childbearing age with epilepsy (WCE) in the United States. METHODS: Data from the Medical Expenditure Panel Survey was analyzed between the years 2004-2015 to determine trends in national antiepileptic drug prescriptions for WCE. Analysis of associations between demographic covariates and prescription of ASMs with MCM rate > 5% (topiramate, valproate, or phenobarbital) was performed with logistic regression. RESULTS: There was a weighted total of 395,292 WCE. 29.1% (23.2%-35.8%) of WCE were prescribed an AED with MCM rate > 5%. The odds of a LEV prescription significantly increased in the 2010-2012 (OR 2.91, 95% CI 1.09-7.79) and 2013-2015 (OR 5.06, 95% CI 2.02-12.67) intervals compared to 2004-2006. Conversely, the odds of PB prescriptions significantly decreased in 2010-2012 (OR 0.13, 95% CI 0.02-0.83) and 2013-2015 (OR 0.13, 95% CI 0.02-0.93) compared to 2004-2006. WCE between the ages of 25-34 (OR = 2.67, 95% CI = 1.32-5.41) and 35-44 years (OR = 2.59, 95% CI = 1.23-5.45), had lower odds of being prescribed ASMs with MCM rate > 5% compared to those between the ages of 15-24 years. SIGNIFICANCE: Between 2004 and 2015, the prescriptions of ASMs given to WCE has changed. Regardless, nearly one third were prescribed potentially teratogenic medications despite available and affordable safer alternatives. Identifying factors associated with the prescription of teratogenic drugs to WCE is critical so that it may be further limited in the future.

Risk models to predict late-onset seizures after stroke: A systematic review.

BACKGROUND AND PURPOSE: We performed a systematic review to evaluate available risk models to predict late seizure onset among stroke survivors. METHODS: We searched major databases (PubMed, SCOPUS, and Cochrane Library) from inception to October 2020 for articles on the development and/or validation of risk models to predict late seizures after a stroke. The impact of models to predict late-onset seizures was also assessed. We included seven articles in the final analysis. For each of these studies, we evaluated the study design and scope of predictors analyzed to derive each model. We assessed the performance of the models during internal and external validation in terms of discrimination and calibration. RESULTS: Three studies focused on ischemic stroke alone, with c-statistic values ranging from 0.73 to 0.77. The SeLECT model from Switzerland was externally validated in Italian, German, and Austrian cohorts where c-statistics ranged from 0.69 to 0.81. This model along with the PSEiCARe model, were internally validated and calibration performance was provided for both models. The CAVS and CAVE models reported on the risk of late-onset seizures in patients with hemorrhagic stroke. The CAVS model derivation cohort was racially diverse. The CAVS model's c-statistic was 0.76, while the CAVE model had a c-statistic of 0.81. Calibration and internal validation were not performed for either study. The CAVS model, created from a Finnish population, was externally validated in American and French cohorts, with c-statistics of 0.73 and 0.69, respectively. Finally, the two studies focusing on both types of stroke came from the PoSERS and INPOSE models. Neither model provided c-statistics, calibration metrics, internal or external validation information. We found no evidence of the presence of impact studies to assess the effect of adopting late-onset seizure risk models after stroke on clinical outcomes. CONCLUSION: The SeLECT model was the only model developed in line with proposed guidelines for appropriate model development. The model, which was externally validated in a very similar and homogeneous population, may need to be tested in a more racially/ethnic diverse and younger population; testing the SeLECT model, accounting for overall brain health is likely to improve the identification of high-risk patients for late post stroke seizures.

Seizures in Patients With Metastatic Brain Tumors: Prevalence, Clinical Characteristics, and Features on EEG.

INTRODUCTION: Metastases to the brain (MB) occur in up to 30% of adults with cancer; of these, 15% to 35% may have seizures. We investigated clinical and pathologic associations with seizure and EEG findings in patients with MB, given the sparse literature in this area. METHODS: We performed a retrospective chart review of adults with pathologically confirmed MB treated at a large tertiary care center between April 8, 2006, and December 14, 2018. Primary outcomes were odds of "chart-documented seizure" (CDS) in the full sample and EEG-captured seizure or any epileptiform discharges among those monitored on EEG. RESULTS: We studied 187 patients with MB, of whom 55 (28.3%) were monitored on EEG. We found an overall CDS prevalence of 29.4% and an EEG-captured seizure of 18.9% among patients monitored on EEG. Of those monitored on EEG, 47.2% had epileptiform discharges. Adenocarcinoma pathology was associated with lower odds of CDS (odds ratio [OR] 0.50, 95% CI 0.26-0.96) and EEG-captured seizure (OR 0.09, 95% CI 0.01-0.87) versus other pathologies. When modeled separately, melanoma pathology was associated with CDS (OR 4.45, 95% CI 1.58-12.57) versus other pathologies. Hemorrhagic MB were associated with any epileptiform discharges (OR 5.50, 95% CI 1.65-18.37), regardless of pathology modeled. Increasing size of the largest dimension of the largest MB was associated with lower odds of CDS (OR 0.68, 95% CI 0.52-0.89 when adenocarcinoma modeled, OR 0.69, 95% CI 0.53-0.91 when melanoma modeled). CONCLUSIONS: Seizures and epileptiform discharges are common in patients with MB. Tumor size and pathology were significantly associated with CDS. Larger studies are needed for further analysis.