The worldwide epilepsy treatment gap: A systematic review and recommendations for revised definitions - A report from the ILAE Epidemiology Commission.

OBJECTIVE: In order to more appropriately apply and understand the "epilepsy treatment gap" (ETG) concept in current health systems, revised conceptual and operational definitions of ETG are timely and necessary. This article therefore systematically reviews worldwide studies of the ETG, distinguishing high-, middle-, and low-income regions, and provides recommendations for an updated International League Against Epilepsy (ILAE) definition of ETG. METHODS: A systematic review of the ETG was performed using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards. The search was conducted from January 1990 to July 2019, in the online databases of Ovid MEDLINE and Embase. Identified abstracts were reviewed in duplicate and data independently extracted using a standard proforma. Data describing treatment gap information including both diagnostic and therapeutic aspects of access to epilepsy treatment were recorded. Descriptive statistics are presented. RESULTS: The treatment gap reported in the 45 distinctive populations represented 33 countries. Treatment gap definitions varied widely. The reported ETGs ranged broadly from 5.6% in Norway to 100% in parts of Tibet, Togo, and Uganda. The wide range of reported ETGs was multifactorial in origin including true differences in the availability and utilization of health care among study populations, variations in operational definitions of the epilepsy treatment gap, and methodological differences in sampling and identifying representative epilepsy cases in populations. Significance and recommendations For the ETG to be a useful metric to compare levels of unmet epilepsy care across different countries and regions, a standardized definition must be adapted, recognizing some of the limitations of the current definitions. Our proposed definition takes into account the lack of effective health care insurance, the diagnostic gap, the therapeutic gap, quality-of-care, and other unmet health care needs."

Thirty-day readmission after status epilepticus in the United States: Insights from the nationwide readmission database.

OBJECTIVE: To determine the incidence, causes, predictors, and costs of 30-day readmissions in patients admitted with status epilepticus (SE) from a large representative United States (US) population. METHODS: Adults (age ≥18 years) hospitalized with a primary diagnosis of SE (International Classification of Diseases-Ninth Revision-CM codes 345.2 or 345.3) between January 2013 and September 2015 were identified using the Nationwide Readmissions Database. A multivariable logistic regression model was used to identify predictors of 30-day readmissions. RESULTS: Of 42,232 patients with index SE, 6372 (15.0%) were readmitted within 30 days. In the multivariable analysis, intracranial hemorrhage (odds ratio, 1.56; 95% confidence interval, 1.12-2.18), psychosis (1.26 95%, 1.05-1.50), diabetes mellitus (1.12, 95%, 1.00-1.25), chronic kidney disease (1.50, 95%, 1.31-1.72), chronic liver disease (1.51; 95%, 1.24-1.84), >3 Elixhauser comorbidities (1.18; 95%, 1.06-1.31), length of stay >4 days during index hospitalization (1.41; 95%, 1.28-1.56) and discharge to skilled nursing facility (SNF) (1.14; 95%, 1.01-1.28) were independent predictors of 30-day readmission. The most common reason for readmission was seizures (45.1%). Median length of stay and costs of readmission were 4 days (interquartile range [IQR], 2-7 days) and $7882 (IQR, $4649-$15,012), respectively. CONCLUSION: Thirty-day readmissions after SE occurs in 15% of patients, the majority of which were due to seizures. Readmitted patients are more likely to have multiple comorbidities, a longer length of stay, and discharge to SNF. Awareness of these predictors can help identify and target high-risk patients for interventions to reduce readmissions and costs.

New-onset lesional and nonlesional epilepsy in the US population: Patient characteristics and patterns of antiepileptic drug use.

PURPOSE: Describe treatment patterns in patients from the United States with new-onset epilepsy, comparing those with and without lesional epilepsy. METHODS: In this observational study we used Truven Health MarketScan databases derived from commercial health insurance, Medicare and Medicaid claims covering at least 5 years, commencing in 2008. We identified incident epilepsy cases based on International Classification of Diseases, Ninth Revision, Clinical Modification codes indicating epilepsy or recurrent seizures, taking into account antiepileptic drug (AED) claims, consistent with International League Against Epilepsy Commission on Epidemiology recommendations. We identified patients with lesional epilepsy when associated diagnoses indicated central nervous system infection, neoplasm, traumatic brain injury, stroke, senile dementia and static encephalopathy. Lesional and nonlesional cohorts were matched 1:1 on baseline characteristics of age, sex and insurance type for group comparisons. RESULTS: In unmatched cohorts lesional epilepsy patients (N = 15,302) were more commonly older (mean age 48.7 years) compared with nonlesional epilepsy patients (N = 15,970; mean age 18.5 years). Among lesional patients <20 years of age, the leading putative etiology was static encephalopathy, while among ages ≥20 years and older, the leading putative etiology was stroke or cerebrovascular disease. In matched cohorts (7063 patients each), those with lesional epilepsy were significantly less likely to be untreated at 1 year versus those with nonlesional epilepsy (37.2% vs 56.1%). In children and adults among matched cohorts, levetiracetam was the most common AED prescribed for initial AED therapy for the lesional (39.5%) and nonlesional (32.1%) groups. Lesional epilepsy patients on monotherapy were only slightly less likely than nonlesional epilepsy patients to be on the same AED 1 year after treatment initiation (55.6% vs 59.7%). SIGNIFICANCE: Compared with patients with lesional epilepsy, a higher proportion of patients with nonlesional epilepsy remain untreated 1 year after diagnosis. There were differences in AED selection by epilepsy etiology; levetiracetam is the most commonly prescribed drug for both cohorts.

Assessment and effect of a gap between new-onset epilepsy diagnosis and treatment in the US.

OBJECTIVE: To estimate the treatment gap between a new epilepsy diagnosis and antiepileptic drug (AED) initiation in the United States. METHODS: Retrospective claims-based cohort study using Truven Health MarketScan databases (commercial and supplemental Medicare, calendar years 2010-2015; Medicaid, 2010-2014) and a validation study using PharMetrics Plus Database linked to LRx claims database (2009-2014). Persons met epilepsy diagnostic criteria, had an index date (first epilepsy diagnosis) with a preceding 2-year baseline (1 year for persons aged 1 to <2 years; none for persons <1 year), and continuous medical and pharmacy enrollment without epilepsy/seizure diagnosis or AED prescription during baseline. Outcomes included percentage of untreated persons (no AED prescription) up to 3 years' follow-up and comparative outcomes (incidence rate ratio: untreated persons/treated persons), including medical events and health care resource utilization. RESULTS: In the primary study, 59,970 persons met selection (or inclusion) criteria; 36.7% of persons with newly diagnosed epilepsy remained untreated up to 3 years after diagnosis. In the validation study (N = 30,890), 31.8% of persons remained untreated up to 3 years after diagnosis. Lack of AED treatment was associated with an adjusted incidence rate ratio (95% confidence interval) of 1.2 (1.2-1.3) for medical events, 2.3 (2.2-2.3) for hospitalizations, and 2.8 (2.7-2.9) for emergency department visits. CONCLUSIONS: One-third of newly diagnosed persons remain untreated up to 3 years after epilepsy diagnosis. The increased risk of medical events and health care utilization highlights the consequences of delayed treatment after epilepsy diagnosis, which might be preventable.

Antiepileptic Drug Treatment Patterns in Women of Childbearing Age With Epilepsy.

Importance: Limited population-based data are available on antiepileptic drug (AED) treatment patterns in women of childbearing age with epilepsy; the current population risk is not clear. Objectives: To examine the AED treatment patterns and identify differences in use of valproate sodium and topiramate by comorbidities among women of childbearing age with epilepsy. Design, Setting, and Participants: A retrospective cohort study used a nationwide commercial database and supplemental Medicare as well as Medicaid insurance claims data to identify 46 767 women with epilepsy aged 15 to 44 years. The eligible study cohort was enrolled between January 1, 2009, and December 31, 2013. Data analysis was conducted from January 1, 2017, to February 22, 2018. Exposures: Cases required an International Classification of Diseases, Ninth Revision, Clinical Modification-coded epilepsy diagnosis with continuous medical and pharmacy enrollment. Incident cases required a baseline of 2 or more years without an epilepsy diagnosis or AED prescription before the index date. For both incident and prevalent cases, focal and generalized epilepsy cohorts were matched by age, payer type, and enrollment period and then compared. Main Outcomes and Measures: Antiepileptic drug treatment pattern according to seizure type and comorbidities. Results: Of the 46 767 patients identified, there were 8003 incident cases (mean [SD] age, 27.3 [9.4] years) and 38 764 prevalent cases (mean [SD] age, 29.7 [9.0] years). Among 3219 women in the incident epilepsy group who received AEDs for 90 days or more, 3173 (98.6%) received monotherapy as first-line treatment; among 28 239 treated prevalent cases, 18 987 (67.2%) received monotherapy. In 3544 (44.3%) incident cases and 9480 (24.5%) prevalent cases, AED treatment was not documented during 180 days or more of follow-up after diagnosis. Valproate (incident: 35 [5.81%]; prevalent: 514 [13.1%]) and phenytoin (incident: 33 [5.48%]; prevalent: 178 [4.53%]) were more commonly used for generalized epilepsy and oxcarbazepine (incident: 53 [8.03%]; prevalent: 386 [9.89%]) was more often used for focal epilepsy. Levetiracetam (incident: focal, 267 [40.5%]; generalized, 271 [45.0%]; prevalent: focal, 794 [20.3%]; generalized, 871 [22.2%]), lamotrigine (incident: focal, 123 [18.6%]; generalized, 106 [17.6%]; prevalent: focal, 968 [24.8%]; generalized, 871 [22.2%]), and topiramate (incident: focal, 102 [15.5%]; generalized, 64 [10.6%]; prevalent: focal, 499 [12.8%]; generalized, 470 [12.0%]) were leading AEDs prescribed for both focal and generalized epilepsy. Valproate was more commonly prescribed for women with comorbid headache or migraine (incident: 53 of 1251 [4.2%]; prevalent: 839 of 8046 [10.4%]), mood disorder (incident: 63 of 860 [7.3%]; prevalent: 1110 of 6995 [15.9%]), and anxiety and dissociative disorders (incident: 57 of 881 [6.5%]; prevalent: 798 of 5912 [13.5%]). Topiramate was more likely prescribed for those with comorbid headache or migraine (incident: 335 of 1251 [26.8%]; prevalent: 2322 of 8046 [28.9%]). Conclusions and Relevance: Many women appear to be treated with valproate and topiramate despite known teratogenicity risks. Comorbidities may affect selecting certain AEDs despite their teratogenicity risks.

Independent role of neonatal seizures in subsequent neurological outcomes: a population-based study.

AIM: This population-based study aimed to estimate the impact of neonatal seizures on subsequent neurological outcomes, regardless of underlying etiology. METHOD: We performed a retrospective cohort study (1st January 2009-31st December 2014), using a USA nationwide claims database. Newborn infants enrolled in 2009 were followed for up to 6 years. Neonatal seizures were identified by combining the International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis code of 779.0 (convulsions in newborn), procedure codes of electroencephalogram and brain imaging, and antiepileptic drugs claims. Cox regression models were built to estimate the independent impact of neonatal seizures on developing epilepsy, intellectual disability, psychiatric/behavioral disorders, and headache. RESULTS: Out of 490 071 newborn infants (251 850 males [51.4%], 238 221 females [48.6%]), 800 neonatal seizure cases were identified. After controlling for sex, birthweight, preterm birth status, and underlying etiology, neonates with seizures were more likely to have epilepsy (hazard ratio=32.7; 95% confidence interval [CI]=27.7-38.7; p<0.001), intellectual disability (hazard ratio=2.0; 95% CI=1.8-2.3; p<0.001), and headache (hazard ratio=1.6; 95% CI=1.1-2.2; p=0.013) than those without seizures. INTERPRETATION: Observed covariates being equal, seizures in neonates appeared to play a significant role in developing epilepsy, intellectual disability, and headache. The findings showed a detrimental impact of the event in the very early life on neurological outcomes in later life. WHAT THIS PAPER ADDS: Seizures had their own impact on the development of adverse neurological outcomes. The magnitude of impact was quite large in epilepsy.

The primary prevention of epilepsy: A report of the Prevention Task Force of the International League Against Epilepsy.

Among the causes of epilepsy are several that are currently preventable. In this review, we summarize the public health burden of epilepsy arising from such causes and suggest priorities for primary epilepsy prevention. We conducted a systematic review of published epidemiologic studies of epilepsy of 4 preventable etiologic categories-perinatal insults, traumatic brain injury (TBI), central nervous system (CNS) infection, and stroke. Applying consistent criteria, we assessed the quality of each study and extracted data on measures of risk from those with adequate quality ratings, summarizing findings across studies as medians and interquartile ranges. Among higher-quality population-based studies, the median prevalence of active epilepsy across all ages was 11.1 per 1000 population in lower- and middle-income countries (LMIC) and 7.0 per 1000 in high-income countries (HIC). Perinatal brain insults were the largest attributable fraction of preventable etiologies in children, with median estimated fractions of 17% in LMIC and 15% in HIC. Stroke was the most common preventable etiology among older adults with epilepsy, both in LMIC and in HIC, accounting for half or more of all new onset cases. TBI was the attributed cause in nearly 5% of epilepsy cases in HIC and LMIC. CNS infections were a more common attributed cause in LMIC, accounting for about 5% of all epilepsy cases. Among some rural LMIC communities, the median proportion of epilepsy cases attributable to endemic neurocysticercosis was 34%. A large proportion of the overall public health burden of epilepsy is attributable to preventable causes. The attributable fraction for perinatal causes, infections, TBI, and stroke in sum reaches nearly 25% in both LMIC and HIC. Public health interventions addressing maternal and child health care, immunizations, public sanitation, brain injury prevention, and stroke prevention have the potential to significantly reduce the burden of epilepsy.

National Association of Medical Examiners Position Paper: Recommendations for the Investigation and Certification of Deaths in People with Epilepsy.

Sudden unexpected death of an individual with epilepsy (SUDEP) can pose a challenge to death investigators, as most deaths are unwitnessed and the individual is commonly found dead in bed. Anatomic findings (e.g., tongue/lip bite) are commonly absent and of varying specificity, limiting the evidence to implicate epilepsy as a cause of or contributor to death. Thus, it is likely that death certificates significantly underrepresent the true number of deaths in which epilepsy was a factor. To address this, members of the National Association of Medical Examiners, North American SUDEP Registry, Epilepsy Foundation SUDEP Institute, American Epilepsy Society, and the Centers for Disease Control and Prevention convened an expert panel to generate evidence-based recommendations for the practice of death investigation and autopsy, toxicological analysis, interpretation of autopsy and toxicology findings, and death certification to improve the precision of death certificate data available for public health surveillance of epilepsy-related deaths. The recommendations provided in this paper are intended to assist medical examiners, coroners, and death investigators when a sudden, unexpected death in a person with epilepsy is encountered.

Comorbidities and risk factors associated with newly diagnosed epilepsy in the U.S. pediatric population.

Neurobehavioral comorbidities can be related to underlying etiology of epilepsy, epilepsy itself, and adverse effects of antiepileptic drugs. We examined the relationship between neurobehavioral comorbidities and putative risk factors for epilepsy in children with newly diagnosed epilepsy. We conducted a retrospective analysis of children aged ≤18years in 50 states and the District of Columbia, using the Truven Health MarketScan® commercial claims and encounters database from January 1, 2009 to December 31, 2013. The eligible study cohort was continuously enrolled throughout 2013 as well as enrolled for any days during a baseline period of at least the prior 2years. Newly diagnosed cases of epilepsy were defined by International Classification of Diseases, Ninth Revision, Clinical Modification-coded diagnoses of epilepsy or recurrent seizures and evidence of prescribed antiepileptic drugs during 2013, when neither seizure codes nor seizure medication claims were recorded during baseline periods. Twelve neurobehavioral comorbidities and eleven putative risk factors for epilepsy were measured. More than 6 million children were analyzed (male, 51%; mean age, 8.8years). A total of 7654 children were identified as having newly diagnosed epilepsy (125 per 100,000, 99% CI=122-129). Neurobehavioral comorbidities were more prevalent in children with epilepsy than children without epilepsy (60%, 99% CI=58.1-61.0 vs. 23%, CI=23.1-23.2). Children with epilepsy were far more likely to have multiple comorbidities (36%, 99% CI=34.3-37.1) than those without epilepsy (8%, 99% CI=7.45-7.51, P<0.001). Preexisting putative risk factors for epilepsy were detected in 28% (99% CI=26.9-29.6) of children with epilepsy. After controlling for demographics, neurobehavioral comorbidities, family history of epilepsy, and other risk factors than primary interest, neonatal seizures had the strongest independent association with the development of epilepsy (OR=29.8, 99% CI=23.7-37.3, P<0.001). Compared with children with risk factors but no epilepsy, those with both epilepsy and risk factors were more likely to have intellectual disabilities (OR=13.4, 99% CI=11.9-15.0, P<0.001). The epilepsy and intellectual disabilities could share the common pathophysiology in the neuronal network.

Premature mortality of epilepsy in low- and middle-income countries: A systematic review from the Mortality Task Force of the International League Against Epilepsy.

To determine the magnitude of risk factors and causes of premature mortality associated with epilepsy in low- and middle-income countries (LMICs). We conducted a systematic search of the literature reporting mortality and epilepsy in the World Bank-defined LMICs. We assessed the quality of the studies based on representativeness; ascertainment of cases, diagnosis, and mortality; and extracted data on standardized mortality ratios (SMRs) and mortality rates in people with epilepsy. We examined risk factors and causes of death. The annual mortality rate was estimated at 19.8 (range 9.7-45.1) deaths per 1,000 people with epilepsy with a weighted median SMR of 2.6 (range 1.3-7.2) among higher-quality population-based studies. Clinical cohort studies yielded 7.1 (range 1.6-25.1) deaths per 1,000 people. The weighted median SMRs were 5.0 in male and 4.5 in female patients; relatively higher SMRs within studies were measured in children and adolescents, those with symptomatic epilepsies, and those reporting less adherence to treatment. The main causes of death in people with epilepsy living in LMICs include those directly attributable to epilepsy, which yield a mean proportional mortality ratio (PMR) of 27.3% (range 5-75.5%) derived from population-based studies. These direct causes comprise status epilepticus, with reported PMRs ranging from 5 to 56.6%, and sudden unexpected death in epilepsy (SUDEP), with reported PMRs ranging from 1 to 18.9%. Important causes of mortality indirectly related to epilepsy include drowning, head injury, and burns. Epilepsy in LMICs has a significantly greater premature mortality, as in high-income countries, but in LMICs the excess mortality is more likely to be associated with causes attributable to lack of access to medical facilities such as status epilepticus, and preventable causes such as drowning, head injuries, and burns. This excess premature mortality could be substantially reduced with education about the risk of death and improved access to treatments, including AEDs.

The burden of premature mortality of epilepsy in high-income countries: A systematic review from the Mortality Task Force of the International League Against Epilepsy.

Since previous reviews of epidemiologic studies of premature mortality among people with epilepsy were completed several years ago, a large body of new evidence about this subject has been published. We aim to update prior reviews of mortality in epilepsy and to reevaluate and quantify the risks, potential risk factors, and causes of these deaths. We systematically searched the Medline and Embase databases to identify published reports describing mortality risks in cohorts and populations of people with epilepsy. We reviewed relevant reports and applied criteria to identify those studies likely to accurately quantify these risks in representative populations. From these we extracted and summarized the reported data. All population-based studies reported an increased risk of premature mortality among people with epilepsy compared to general populations. Standard mortality ratios are especially high among people with epilepsy aged <50 years, among those whose epilepsy is categorized as structural/metabolic, those whose seizures do not fully remit under treatment, and those with convulsive seizures. Among deaths directly attributable to epilepsy or seizures, important immediate causes include sudden unexpected death in epilepsy (SUDEP), status epilepticus, unintentional injuries, and suicide. Epilepsy-associated premature mortality imposes a significant public health burden, and many of the specific causes of death are potentially preventable. These require increased attention from healthcare providers, researchers, and public health professionals.

Sudden unexpected death in epilepsy: epidemiology, mechanisms, and prevention.

Sudden unexpected death in epilepsy (SUDEP) can affect individuals of any age, but is most common in younger adults (aged 20-45 years). Generalised tonic-clonic seizures are the greatest risk factor for SUDEP; most often, SUDEP occurs after this type of seizure in bed during sleep hours and the person is found in a prone position. SUDEP excludes other forms of seizure-related sudden death that might be mechanistically related (eg, death after single febrile, unprovoked seizures, or status epilepticus). Typically, postictal apnoea and bradycardia progress to asystole and death. A crucial element of SUDEP is brainstem dysfunction, for which postictal generalised EEG suppression might be a biomarker. Dysfunction in serotonin and adenosine signalling systems, as well as genetic disorders affecting cardiac conduction and neuronal excitability, might also contribute. Because generalised tonic-clonic seizures precede most cases of SUDEP, patients must be better educated about prevention. The value of nocturnal monitoring to detect seizures and postictal stimulation is unproven but warrants further study.

Epilepsy or seizure disorder? The effect of cultural and socioeconomic factors on self-reported prevalence.

Self-reported epilepsy may be influenced by culture, knowledge, and beliefs. We screened 6420 residents of the District of Columbia (DC) for epilepsy to investigate whether socio-demographics were associated with whether they reported their diagnosis as epilepsy or as seizure disorder. Lifetime and active prevalence rates were 0.54% and 0.21%, respectively for 'epilepsy' and 1.30% and 0.70%, respectively for 'seizure disorder'. Seizure disorder was reported significantly more often than epilepsy among blacks, females, respondents≥50years, those with lower level education, respondents who lived alone and in low income neighborhoods, and those who resided in DC for at least five years. Clinicians should assure that patients and caregivers understand that epilepsy is synonymous with seizure disorder and other culturally appropriate terms, in order to optimize compliance with treatment, disease management instructions, and utilization of other resources targeted at persons with epilepsy. Furthermore, education and awareness campaigns aimed at improving access-to-care, reducing stigma, and increasing awareness of adverse events, such as SUDEP, should include a more diverse definition of epilepsy in their messages.

Estimating Epilepsy Incidence and Prevalence in the US Pediatric Population Using Nationwide Health Insurance Claims Data.

This study aims to determine prevalence and incidence of epilepsy in the US pediatric population. We analyzed commercial claims and Medicaid insurance claims data between 2008 and 2012. Over 8 million continuously enrolled lives aged 0 to 19 years were included. Our definition of a prevalent case of epilepsy was based on International Classification of Diseases-coded diagnoses of epilepsy or seizures and evidence of prescribed antiepileptic drugs. Incident cases were identified in subjects continuously enrolled for ≥2 years of which the first 2 years had no indication of epilepsy or seizures. The overall prevalence estimate for 2012 was 6.8 per 1,000 children. The overall incidence estimate for 2012 was 104 per 100,000 pediatric population. This study provides estimates of the prevalence and incidence of epilepsy in the US pediatric population, using large claims datasets from multiple US population sectors. The findings appear reasonably representative of the US-insured pediatric population.

Health-care access among adults with epilepsy: The U.S. National Health Interview Survey, 2010 and 2013.

INTRODUCTION: Community-based and other epidemiologic studies within the United States have identified substantial disparities in health care among adults with epilepsy. However, few data analyses addressing their health-care access are representative of the entire United States. This study aimed to examine national survey data about adults with epilepsy and to identify barriers to their health care. MATERIALS AND METHODS: We analyzed data from U.S. adults in the 2010 and the 2013 National Health Interview Surveys, multistage probability samples with supplemental questions on epilepsy. We defined active epilepsy as a history of physician-diagnosed epilepsy either currently under treatment or accompanied by seizures during the preceding year. We employed SAS-callable SUDAAN software to obtain weighted estimates of population proportions and rate ratios (RRs) adjusted for sex, age, and race/ethnicity. RESULTS: Compared to adults reporting no history of epilepsy, adults reporting active epilepsy were significantly more likely to be insured under Medicaid (RR=3.58) and less likely to have private health insurance (RR=0.58). Adults with active epilepsy were also less likely to be employed (RR=0.53) and much more likely to report being disabled (RR=6.14). They experience greater barriers to health-care access including an inability to afford medication (RR=2.40), mental health care (RR=3.23), eyeglasses (RR=2.36), or dental care (RR=1.98) and are more likely to report transportation as a barrier to health care (RR=5.28). CONCLUSIONS: These reported substantial disparities in, and barriers to, access to health care for adults with active epilepsy are amenable to intervention.

The Epidemiology of Traumatic Brain Injury in Children and Youths: A Review of Research Since 1990.

This report reviews recent research on the epidemiology of traumatic brain injuries among children and youth aged 0 to 20 years. Studies representing populations in North America, Europe, Australia, and New Zealand yield these median estimates of the annual incidence of childhood brain injuries: 691 per 100 000 population treated in emergency departments, 74 per 100 000 treated in hospital, and 9 per 100 000 resulting in death. Males have a higher risk of injury than females: 1.4 times higher among those aged less than 10 years and 2.2 times among those older than 10 years. The leading cause of injury among children aged less than 5 years is falls, whereas the leading cause of injury among youths aged 15 years and older is motor vehicle crashes. The prevalence of disability among all persons who have sustained traumatic brain injury in childhood is unknown, but among those who were hospitalized could approximate 20%.

Prevalence of pediatric epilepsy in low-income rural Midwestern counties.

Epilepsy is one of the most common disabling neurological disorders, but significant gaps exist in our knowledge about childhood epilepsy in rural populations. The present study assessed the prevalence of pediatric epilepsy in nine low-income rural counties in the Midwestern United States overall and by gender, age, etiology, seizure type, and syndrome. Multiple sources of case identification were used, including medical records, schools, community agencies, and family interviews. The prevalence of active epilepsy was 5.0/1000. Prevalence was 5.1/1000 in males and 5.0/1000 in females. Differences by age group and gender were not statistically significant. Future research should focus on methods of increasing study participation in rural communities, particularly those in which research studies are rare.

Descriptive epidemiology of epilepsy in the U.S. population: A different approach.

OBJECTIVE: Determine prevalence and incidence of epilepsy within two health insurance claims databases representing large sectors of the U.S. METHODS: A retrospective observational analysis using Commercial Claims and Medicare (CC&M) Supplemental and Medicaid insurance claims data between January 1, 2007 and December 31, 2011. Over 20 million continuously enrolled lives of all ages were included. Our definition of a prevalent case of epilepsy was based on International Classification of Diseases, Ninth Revision, Clinical Modification-coded diagnoses of epilepsy or seizures and evidence of prescribed antiepileptic drugs. Incident cases were identified among prevalent cases continuously enrolled for ≥ 2 years before the year of incidence determination with no epilepsy, seizure diagnoses, or antiepileptic drug prescriptions recorded. RESULTS: During 2010 and 2011, overall age-adjusted prevalence estimate, combining weighted estimates from all datasets, was 8.5 cases of epilepsy/1,000 population. With evaluation of CC&M and Medicaid data separately, age-adjusted prevalence estimates were 5.0 and 34.3/1,000 population, respectively, for the same period. The overall age-adjusted incidence estimate for 2011, combining weighted estimates from all datasets, was 79.1/100,000 population. Age-adjusted incidence estimates from CC&M and Medicaid data were 64.5 and 182.7/100,000 enrollees, respectively. Incidence data should be interpreted with caution due to possible misclassification of some prevalent cases. SIGNIFICANCE: The large number of patients identified as having epilepsy is statistically robust and provides a credible estimate of the prevalence of epilepsy. Our study draws from multiple U.S. population sectors, making it reasonably representative of the U.S.-insured population.

Newer antiepileptic drug use and other factors decreasing hospital encounters.

A retrospective analysis was conducted in one claims database and was confirmed in a second independent database (covering both commercial and government insurance plans between 11/2009 and 9/2011) for the understanding of factors influencing antiepileptic drug (AED) use and the role of AEDs and other health-care factors in hospital encounters. In both datasets, epilepsy cases were identified by AED use and epilepsy diagnosis coding. Variables analyzed for effect on hospitalization rates were as follows: (1) use of first-generation AEDs or second-generation AEDs, (2) treatment changes, and (3) factors that may affect AED choice. Lower rates of epilepsy-related hospital encounters (encounters with an epilepsy diagnosis code) were associated with use of second-generation AEDs, deliberate treatment changes, and treatment by a neurologist. Epilepsy-related hospital encounters were more frequent for patients not receiving an AED and for those with greater comorbidities. On average, patients taking ≥1 first-generation AED experienced epilepsy-related hospitalizations every 684days, while those taking ≥1second-generation AED were hospitalized every 1001days (relative risk reduction of 31%, p<0.01). Prescriptions for second-generation AEDs were more common among neurologists and among physicians near an epilepsy center. Use of second-generation AEDs, access to specialty care, and deliberate efforts to change medications following epilepsy-related hospital encounters improved outcomes of epilepsy treatment based on average time between epilepsy-related hospital encounters. These factors may be enhanced by public health policies, private insurance reimbursement policies, and education of patients and physicians.