Childhood absence epilepsy is one of the most prevalent pediatric epilepsy syndromes, but diagnostic delay is common and consequential. Childhood absence epilepsy is diagnosed by history and physical examination including hyperventilation with electroencephalography (EEG) used to confirm the diagnosis. Hyperventilation produces generalized spike-wave discharges on EEG in >90% of patients with childhood absence epilepsy and provokes clinical absence seizures consisting of brief loss of consciousness typically within 90 seconds. Child neurologists report a high volume of referrals for children with \"staring spells\" that strain already limited health care resources. Resources are further strained by the use of EEG for monitoring antiseizure medication effectiveness with unclear benefit. In this review, we examine the safety and efficacy of hyperventilation activation as a tool for the diagnosis and management of childhood absence seizures.

To assess the demographic and geographic variations in access time - defined as years between the date of symptom onset and initial date of neurological care - in pediatric patients presenting with staring spells.
We conducted a secondary analysis of a retrospective chart review study from 2011 to 2021. A total of 1,353 staring spell patients, aged 0 to 17.9 years, were analyzed for age, sex, race/ethnicity, insurance, county, average county annual per capita personal income, and access time.
Patients aged 0-2.9 years had the shortest median access time of 0.3 years, compared to 1.2 years in patients aged 3-12.9 years and 1.0 year in patients aged 13-17.9 years. Statistically significant differences were seen based on race/ethnicity and insurance with White patients having shorter access time of 0.5 years compared to Black patients with 1.0 year and self-pay patients having the shortest access time of 0.4 years compared to patients with private insurance (0.7 years). Warren County had the largest annual per capita personal income of $65,855 and access time of 0.5 years compared to Preble county with the least annual per capita personal income of $45,016 and access time of 1.1 years.
Demographic parameters of age, race/ethnicity, insurance, and annual county per capita personal income appeared to be associated with access time to initial neurological care in patients with staring spells. These associations need to be investigated further to ensure timely access to neurological care and to ensure equity in health care.

UNASSIGNED: It is a common occurrence for children with autism spectrum disorder to be diagnosed with staring spells. Staring spells are defined as periods of time when children \"space out\" and are subcategorized as either \"absence seizures\" (brain activity resembling a seizure but with no physical seizure symptoms) or \"non-epileptic spells\" (inattentiveness or daydreaming). Due to the subtle characteristics of staring spells, they are usually diagnosed via long-term video electroencephalogram. The child is monitored for 3-5 days with an electroencephalogram which records brain waves. An electroencephalogram may be difficult to perform in children with autism spectrum disorder due to behavior, cognitive, or sensory concerns. Therefore, we wanted to investigate other clinical characteristics that may help us differentiate between epileptic seizures versus non-epileptic spells in children with autism spectrum disorder presenting with staring spells. We reviewed 140 charts retrospectively from the years of 2010-2021. We abstracted demographic and clinical information from the electronic medical record system and reviewed electroencephalogram videos to group the 140 children into epileptic seizure diagnosis group versus non-epileptic spell group. Of the 140 children in this study, 22 were diagnosed with epileptic seizures and the remaining were diagnosed with non-epileptic spells. We found that the two groups differed in certain clinical characteristics such as how long the staring spells lasted, how many staring spells the child had in 1 week, and whether they responded to verbal commands. We believe that clinical features may be helpful in differentiating epileptic seizures from non-epileptic spells in children with autism spectrum disorder.

Evaluations to rule out epileptic vs nonepileptic staring spells may entail unnecessary evaluations that can be costly and time consuming. Our study aims to identify common etiologies for staring spells across 3 different pediatric age groups and to propose an age-based clinical guidance to help determine which patients warrant further workup. Methods: This was a single-center retrospective chart analysis of 1496 patients aged 0.0-17.9 years presenting with confirmed staring spell diagnosis from January 2011 to January 2021. The patients were divided into 3 groups based on their age: 0.0-2.9, 3.0-12.9, and 13.0-17.9 years. Patient information collected included demographics, clinical presentation, comorbidities, and final diagnosis. Multilevel likelihood ratios and a receiver operating characteristic curve were determined using 8 of the 11 clinical variables. A total of 1142 patients who met the inclusion criteria were included for the final analysis. The most common final diagnosis was attention-deficit hyperactivity disorder (ADHD) (35%), followed by normal behavior (33%). Generalized and focal epilepsy were diagnosed in 8% and 4% of the patients, respectively. In the 0.0-2.9-year age group, normal behavior was the final diagnosis in 72% patients. In the 3.0-12.9-year and 13.0-17.9-year age groups, ADHD was the most frequent final diagnosis in 46% and 60%, respectively. Overall, ADHD and normal behaviors remain the most common final diagnoses. Multilevel likelihood ratios can be used to develop an age-based guidance to differentiate between epileptic and nonepileptic staring spell diagnoses.