Quality improvement in neurology

Inequities in therapy for infantile spasms: a call to action

OBJECTIVE

To determine whether selection of treatment for children with infantile spasms (IS) varies by race/ethnicity.

METHODS

The prospective US National Infantile Spasms Consortium database includes children with IS treated from 2012-2018. We examined the relationship between race/ethnicity and receipt of standard IS therapy (prednisolone, adrenocorticotropic hormone, vigabatrin), adjusting for demographic and clinical variables using logistic regression. Our primary outcome was treatment course, which considered therapy prescribed for the first and, when needed, the second IS treatment together.

RESULTS

Of 555 children, 324 (58%) were Non-Hispanic white, 55 (10%) Non-Hispanic Black, 24 (4%) Non-Hispanic Asian, 80 (14%) Hispanic, and 72 (13%) Other/Unknown. Most (398, 72%) received a standard treatment course. Insurance type, geographic location, history of prematurity, prior seizures, developmental delay or regression, abnormal head circumference, hypsarrhythmia, and IS etiologies were associated with standard therapy. In adjusted models, Non-Hispanic Black children had lower odds of receiving a standard treatment course compared with Non-Hispanic white children (OR 0.42, 95% CI 0.20-0.89, p = 0.02). Adjusted models also showed that children with public (vs. private) insurance had lower odds of receiving standard therapy for treatment 1 (OR 0.42, CI 0.21-0.84, p = 0.01).

INTERPRETATION

Non-Hispanic Black children were more often treated with non-standard IS therapies than Non-Hispanic white children. Likewise, children with public (vs. private) insurance were less likely to receive standard therapies. Investigating drivers of inequities, and understanding the impact of racism on treatment decisions, are critical next steps to improve care for patients with IS. This article is protected by copyright. All rights reserved.

Screening for epilepsy-specific anxiety symptoms: French validation of the EASI

OBJECTIVES

(1) To translate and validate the Epilepsy Anxiety Survey Instrument (EASI) in French people with epilepsy (PWE); (2) to further investigate the screening properties of each dimension of the EASI in terms of Diagnostic and Statistical Manual of Mental Disorders (DSM) anxiety disorders and of epilepsy-specific anxiety disorders, namely, anticipatory anxiety of seizures (AAS) and epileptic social phobia.

METHODS

Following back-translation, the French EASI was tested in PWE > 18 years using the Mini-International Neuropsychiatric Interview (MINI) as gold standard for DSM anxiety disorders. We added 3 original questions to explore epilepsy-specific anxiety symptoms. The Generalized Anxiety Disorders-7 (GAD-7), Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), and Adverse Events Profile were performed for external validity. Receiver operator characteristics (ROC) were analyzed.

RESULTS

One hundred and forty nine native French speakers with epilepsy were included. Concerning DSM disorders, around 25% had GAD, 18% Agoraphobia, and <10% Social Phobia or Panic Disorder. Concerning possible epilepsy-specific anxiety disorder, 35% had AAS and 38% had epileptic social phobia. Bi-dimensional structure of the EASI was confirmed. Internal and external validity was satisfactory. ROC analysis showed AUC of 0.83 for detection of GAD and AUC 0.79 for other DSM anxiety disorders. ROC analysis of the 8-item French brEASI showed good performance for detection of GAD (AUC 0.83) and other DSM anxiety disorders (AUC 0.76) but not for epilepsy-specific anxiety symptoms (AUC 0.63). Conversely, dimension 2 of the French EASI (=10 items) allowed good detection of epilepsy-specific anxiety symptoms (AUC 0.78); cutoff > 4, sensitivity 82.4, specificity 66.7.

CONCLUSION

Epilepsy-specific anxiety symptoms were prevalent, in around 60%. The French version of the EASI showed robust performance. The French 8-item brEASI allows screening for all DSM anxiety disorders with superior performance than the GAD-7, but is less suited to screening for epilepsy-specific anxiety. We propose the "Epilepsy-Specific Anxiety" (ESA) 10-item screening instrument, based on dimension 2 of the EASI, as a complementary clinical and research tool.

United States Epilepsy Center Characteristics: A Data Analysis From the National Association of Epilepsy Centers

BACKGROUND AND OBJECTIVES

Patients with drug-resistant epilepsy (DRE) may benefit from specialized testing and treatments to better control seizures and improve quality of life. Most evaluations and procedures for DRE in the United States are performed at epilepsy centers accredited by the National Association of Epilepsy Centers (NAEC). On an annual basis, the NAEC collects data from accredited epilepsy centers on hospital-based epilepsy monitoring unit (EMU) size and admissions, diagnostic testing, surgeries, and other services. This article highlights trends in epilepsy center services from 2012 through 2019.

METHODS

We analyzed data reported in 2012, 2016, and 2019 from all level 3 and level 4 NAEC accredited epilepsy centers. Data were described using frequency for categorical variables and median for continuous variables and were analyzed by center level and center population category. EMU beds, EMU admissions, epileptologists, and aggregate procedure volumes were also described using rates per population per year.

RESULTS

During the period studied, the number of NAEC accredited centers increased from 161 to 256, with the largest increases in adult- and pediatric-only centers. Growth in EMU admissions (41%), EMU beds (26%), and epileptologists (109%) per population occurred. Access to specialized testing and services broadly expanded. The largest growth in procedure volumes occurred in laser interstitial thermal therapy (LiTT) (61%), responsive neurostimulation (RNS) implantations (114%), and intracranial monitoring without resection (152%) over the study period. Corpus callosotomies and vagus nerve stimulator (VNS) implantations decreased (-12.8% and -2.4%, respectively), while growth in temporal lobectomies (5.9%), extratemporal resections (11.9%), and hemispherectomies/otomies (13.1%) lagged center growth (59%), leading to a decrease in median volumes of these procedures per center.

DISCUSSION

During the study period, the availability of specialty epilepsy care in the United States improved as the NAEC implemented its accreditation program. Surgical case complexity increased while aggregate surgical volume remained stable or declined across most procedure types, with a corresponding decline in cases per center. This article describes recent data trends and current state of resources and practice across NAEC member centers and identifies several future directions for driving systematic improvements in epilepsy care.

Anti-inflammatory properties of lacosamide in an astrocyte-microglia co-culture model of inflammation

PURPOSE

Understanding the effects of antiepileptic drugs on glial cells and glia-mediated inflammation is a new approach to future treatment of epilepsy. Little is known about direct effects of the antiepileptic drug lacosamide (LCM) on glial cells. Therefore, we aimed to study the LCM effects on glial viability, microglial activation, expression of gap-junctional (GJ) protein Cx43 as well as intercellular communication in an in vitro astrocyte-microglia co-culture model of inflammation.

METHODS

Primary rat astrocytes co-cultures containing 5% (M5, "physiological" conditions) or 30% (M30, "pathological inflammatory" conditions) of microglia were treated with different concentrations of LCM [5, 15, 30, and 90 μg/ml] for 24 h. Glial cell viability was measured by MTT assay. Immunocytochemistry was performed to analyze the microglial activation state. Western blot analysis was used to quantify the astroglial Cx43 expression. The GJ cell communication was studied via Scrape Loading.

RESULTS

A concentration-dependent incubation with LCM did not affect the glial cell viability both under physiological and pathological conditions. LCM induced a significant concentration-dependent decrease of activated microglia with parallel increase of ramified microglia under pathological inflammatory conditions. This correlated with an increase in astroglial Cx43 expression. Nevertheless, the functional coupling via GJs was significantly reduced after incubation with LCM.

CONCLUSION

LCM has not shown effects on the glial cell viability. The reduced GJ coupling by LCM could be related to its anti-epileptic activity. The anti-inflammatory glial features of LCM with inhibition of microglial activation under inflammatory conditions support beneficial role in epilepsy associated with neuroinflammation.

Telehealth for patients with rare epilepsies

Recent developments in technology and exigencies of the COVID-19 pandemic have spurred innovations for telehealth in patients with rare epilepsies. This review details the many ways telehealth may be used in the diagnosis and management of rare, pharmacoresistant epilepsy and documents our experience as measured by surveying caregivers of pediatric patients with epilepsy. Most components of the epilepsy evaluation, including history and examination, neuroimaging, and electroencephalogram (EEG) can be performed or reviewed remotely, assuming similar technique and quality of diagnostic studies. Seizure and epilepsy diagnosis is enhanced through the assistance of caregiver smart phone video recordings and 'ambulatory' EEG. Monitoring patient seizure frequency through paper seizure diaries is now increasingly being replaced by electronic diaries in both clinical and research settings. Electronic seizure diaries have numerous advantages such as data durability, increased accessibility, real-time availability, and easier analysis. Telehealth enhances access to specialized epilepsy care, which has been shown to reduce mortality and improve patient compliance and outcomes. Telehealth can also enable evaluation of patients with rare epilepsy in centers of excellence and enhance enrollment in clinical trials. Reducing mortality risk in patients with epilepsy can be accomplished through remote counseling and addressing psychiatric co-morbidities. Findings from surveying caregivers of children with epilepsy treated at Children's National Hospital showed that 54/56 (96.4%) found that not having to commute to the appointment positively contributed to their telemedicine experience. Overall, most respondents had a positive experience with their telemedicine visit. Almost all respondents (98%) were either 'very happy' or 'happy' with their telemedicine visit and their ability to communicate over telemedicine with the provider and either 'very likely' or 'likely' to want to use telemedicine for some future clinic visits. Telehealth in rare epilepsies is feasible and, in many ways, comparable with traditional evaluation and management.

Positive anxiety or depression screen despite ongoing antidepressant prescription in people with epilepsy: A large cross-sectional analysis

Purpose

While antidepressants are recommended to manage anxiety or depression in epilepsy, limited effectiveness data exist in real-world epilepsy samples, and prior work indicated frequent positive screens despite antidepressant prescription. In response, this study evaluates factors associated with positive anxiety or depression screen during ongoing antidepressant prescription.

Methods

Clinical and sociodemographic characteristics were collected among consecutive adult epilepsy clinic patients completing validated anxiety and depression instruments. The sample was divided by presence vs absence of existing antidepressant prescription at time of screening. Among those on an antidepressant, multivariable logistic regression was performed on pre-selected characteristics to evaluate for association with positive anxiety and/or depression screen. Pre-selected characteristics included: antidepressant dose, antidepressant prescriber specialty, antiseizure medications (number, potential psychotropic effects), seizure frequency, employment, visit no-shows, and medical insurance.

Results

Of 563 people with epilepsy, 152 had evidence of antidepressant prescription at time of screening and 73/152(48%) had positive anxiety and/or depression screen. Multivariable modeling demonstrated low antidepressant dose and no-show visit(s) were associated with positive screens (adjusted OR 2.29, CI 1.00-5.48 and 3.11, 1.26-8.22 respectively).

Conclusion

Low antidepressant dose and factors potentially associated with adherence (visit no-shows) may contribute to persistent anxiety and/or depression among epilepsy patients on an antidepressant.

Anti-seizure medication treatment trials prior to pre-surgical evaluation

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Only 17% of patients were tried on only 1or anti-seizure medications.

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The mean number of ASMs tried at the time of referral was 5.62 (ranging from 1-15).

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Race and ethnicity were not associated with an increased number of ASM trials.

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Female sex was associated with a larger number of ASM trials.n.

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ASM trials may be determined by patient/provider preferences or barriers to care.

Purpose

Our study evaluates patterns of anti-seizure medication (ASM) usage prior to pre-surgical evaluation in drug resistant epilepsy (DRE).

Methods

We conducted a retrospective study of patients with DRE presenting for pre-surgical evaluation from 1/1/2017 to 12/31/2018. We abstracted demographic data, ASM usage, MRI and EEG findings, and distance from home to our center.

Results

In total, 54 patients (23 female) were included. The mean number of ASM trials at the time of pre-surgical evaluation was 5.62 (±3.3; range 1–15). A mean of 0.4 ASMs (±1.1; range 0–6) were initiated at our center prior to pre-surgical evaluation. MRI localization to regions other than the hippocampal or temporal region (p = 0.002) was associated with higher numbers of ASM trials. A trend for a larger number of ASM trials was seen for increased distance of patient primary residence from our center, right-sided ictal EEG laterality, and posterior quadrant or non-localized ictal EEG patterns.

Conclusions

Only 17% of patients were referred for pre-surgical evaluation after a trial of 1–2 ASMs. On average, patients tried 5.6 different ASMs with most of those trials predating referral to our center. Temporal lobe lesions were associated with fewer ASM trials prior to referral. Female sex was associated with an average of two more ASM trials than males. Our data do not allow us to determine how access to care, patient choice, and physician opinions impact the variability of ASM trials prior to referral for surgical evaluation. Our data indicate that delays to pre-surgical evaluation continue to occur.

Turkish validity and reliability of the Personal Impact of Epilepsy Scale

AIM

This study evaluated the validity and reliability of the Turkish Personal Impact of Epilepsy Scale (PIES).

MATERIALS AND METHOD

This methodological study was carried out at a university hospital in Erzurum, eastern Turkey between January and April 2021. The data were collected from 126 patients who agreed to participate in the study within these dates via face-to-face interviews, a personal information form, and the Turkish PIES. The PIES consists of 25 items, scored between 0 and 4, and three subscales. The scale itself is a 5-point, Likert-type scale. Following the scale's translation process, its content and construct validity were evaluated. Exploratory and confirmatory factor analysis were conducted for construct validity and item analysis, and internal consistency analysis took place to confirm the scale's reliability.

RESULTS

As a result of the evaluations and analyses, the Turkish PIES's content validity index was 0.94. In the exploratory analysis, the scale's total variance rate was 70.82%. The Cronbach's alpha value of the Seizures subscale was 0.728, that of the Medication Side Effects subscale was 0.947, for the Comorbidities subscale it was 0.929, and the total scale's Cronbach's alpha value was 0.954. The results of the EFA (Exploratory Factor Analysis) and CFA (Confirmatory Factor Analysis) showed that the Turkish PIES, per its 25 items and three-factor structure, is a sufficient measurement instrument. Good fit index values were also obtained as a result of the CFA.

CONCLUSION

The Turkish version of the PIES is a valid and reliable instrument to evaluate the effects of seizures, medication side effects, mood/social state, and quality of life of patients with epilepsy.

Conceptualization and implementation of an interdisciplinary clinic for children with drug-resistant epilepsy during the COVID-19 pandemic

OBJECTIVE

To describe the rapid conceptualization and implementation of an interdisciplinary epilepsy clinic for children with drug-resistant epilepsy (DRE) at Arkansas Children's Hospital (ACH) during the COVID 19 pandemic.

METHODS

Focusing on care design and care coordination for children with DRE, multiple stakeholder groups decided to implement a clinic after the systematic rating of constructs present in a theoretical meta-analytic framework. Based on the projected success, the new interdisciplinary clinic (composed of an epileptologist, a neurosurgeon, and a neuropsychologist and coordinated by a full-time nurse) was established. Clinic operations were further refined through discussions with patients, families, and care providers. We collected data retrospectively (August 2020 to June 2021) to determine referral patterns, clinic scheduling metrics, patient characteristics, clinical recommendations, and epilepsy quality metrics.

RESULTS

Of the 32 Consolidated Framework for Implementation Research constructs assessed, 24 were positively rated to predict a high probability of successful implementation of the clinic. For approximately 100 patient visits, appearance and usage rates were >75%, yielding a clinic utilization rate of approximately 60%. Among 76 unique patients (average age of 12 years, 60% focal epilepsy), 39 patients (51.3%) were deemed eligible for epilepsy surgery evaluation. The majority of the patients (53.9%) were advised for additional diagnostic testing, and 31.6% of patients were scheduled for vagus nerve stimulation. More patients (33%) had changes in their existing anti-seizure medication (ASM) regimen rather than an addition of a new ASM (7.9%). Standardized epilepsy quality measures showed >80% to 90% adherence in 3 (reproductive counseling, depression and anxiety screening, documentation of seizure frequency) out of 4 metrics.

SIGNIFICANCE

This is the first study to show that an interdisciplinary clinic can be a valuable attribute of care models in high-need children with DRE by enabling comprehensive one-stop service for diagnostic evaluation, surgical consideration, and brief assessment of psychiatric comorbidities without compromising consensus-based best practices.

Challenges of patients with epilepsy and measures for improving epilepsy care in western China: A qualitative study

OBJECTIVE

The aim of this qualitative study was to explore the challenges that patients with epilepsy (PWEs) face and the opportunities or areas where changes in nursing care may improve epilepsy care in western China.

METHODS

Semi-structured interviews with open-ended questions based on a review of the literature were conducted at the epilepsy center of a tertiary hospital in western China. A total of 18 PWEs, 18 caregivers and 11 neurology nurses were interviewed by using purposive sampling. The data were transcribed verbatim, and a content analysis was used to conduct the framework analysis.

RESULTS

Three key themes were identified, namely, the impact of epilepsy, barriers to epilepsy management, and measures in nursing care for improving epilepsy care. Psychological stress, the side effects of drugs and accidental injury related to seizures were reported to be the main negative impacts on patients. Limited knowledge about epilepsy, poor adherence to therapy, and a lack of effective communication between patients and medical staff were the major barriers to epilepsy management. Strengthening health education, assessing the frequency and type of seizures, screening for psychological disorders and mental intervention, and maintaining continuity of care were identified as crucial measures for nurses to improve epilepsy care.

CONCLUSIONS

This study highlights the challenges among PWEs and opportunities for improving the quality of epilepsy care in western China. Limited knowledge and poor drug adherence are the main barriers to epilepsy management, which might be improved by more health education and continuing care provided by nurses. Assessing seizures, screening for psychological disorders and providing appropriate psychological care would help improve epilepsy care.

Screening for Psychiatric Comorbidities and Psychotherapeutic Assessment in Inpatient Epilepsy Care: Preliminary Results of an Implementation Study

Background: Anxiety and depression remain underdiagnosed in routine clinical practice in up to two thirds of epilepsy patients despite significant impact on medical and psychosocial outcome. Barriers to adequate mental health care for epilepsy and/or psychogenic non-epileptic seizures (PNES) include a lack of integrated mental health specialists and standardized procedures. This naturalistic study outlines the procedures and outcome of a recently established psychotherapeutic service.

Methods: Routine screening included the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E, cut-off value > 13) and Generalized Anxiety Disorder scale (GAD-7, cut-off value > 5). Positively (above cut-off in at least one questionnaire) screened patients were seen for a standardized interview for mental health disorders and the development of a personalized treatment plan. PNES patients were seen irrespective of their screening score. Resources were provided to support self-help and access to psychotherapy. Patients were contacted 1 month after discharge to evaluate adherence to therapeutic recommendations.

Results: 120 patients were screened. Overall, 56 of 77 positively screened patients (77%) were found to have a psychiatric diagnosis through standardized interview. More epilepsy patients with an anxiety disorder had previously been undiagnosed compared to those with a depressive episode (63% vs. 30%); 24 epilepsy patients (62%) with a psychiatric comorbidity and 10 PNES patients (59%) were not receiving any mental health care. At follow-up, 16/17 (94%) epilepsy patients and 7/7 PNES patients without prior psychiatric treatment were adhering to therapeutic recommendations.

Conclusion: Integrating mental health specialists and establishing standardized screening and follow-up procedures improve adherence to mental health care recommendations in epilepsy and PNES patients.

Clinical and EEG factors associated with antiseizure medication resistance in idiopathic generalized epilepsy

OBJECTIVE

We sought to determine which combination of clinical and electroencephalography (EEG) characteristics differentiate between an antiseizure medication (ASM)-resistant vs ASM-responsive outcome for patients with idiopathic generalized epilepsy (IGE).

METHODS

This was a case-control study of ASM-resistant cases and ASM-responsive controls with IGE treated at five epilepsy centers in the United States and Australia between 2002 and 2018. We recorded clinical characteristics and findings from the first available EEG study for each patient. We then compared characteristics of cases vs controls using multivariable logistic regression to develop a predictive model of ASM-resistant IGE.

RESULTS

We identified 118 ASM-resistant cases and 114 ASM-responsive controls with IGE. First, we confirmed our recent finding that catamenial epilepsy is associated with ASM-resistant IGE (odds ratio [OR] 3.53, 95% confidence interval [CI] 1.32-10.41, for all study subjects) after covariate adjustment. Other independent factors seen with ASM resistance include certain seizure-type combinations (absence, myoclonic, and generalized tonic-clonic seizures [OR 7.06, 95% CI 2.55-20.96]; absence and generalized tonic-clonic seizures [OR 4.45, 95% CI 1.84-11.34]), as well as EEG markers of increased generalized spike-wave discharges (GSWs) in sleep (OR 3.43, 95% CI 1.12-11.36 for frequent and OR 7.21, 95% CI 1.50-54.07 for abundant discharges in sleep) and the presence of generalized polyspike trains (GPTs; OR 5.49, 95% CI 1.27-38.69). The discriminative ability of our final multivariable model, as measured by area under the receiver-operating characteristic curve, was 0.80.

SIGNIFICANCE

Multiple clinical and EEG characteristics independently predict ASM resistance in IGE. To improve understanding of a patient's prognosis, clinicians could consider asking about specific seizure-type combinations and track whether they experience catamenial epilepsy. Obtaining prolonged EEG studies to record the burden of GSWs in sleep and assessing for the presence of GPTs may provide additional predictive value.

Epilepsy quality performance in a national sample of neurologists and primary care providers: Characterizing trends in acute and chronic care management

INTRODUCTION

Epilepsy-specific quality indicators and performance measures have been published and revised multiple times. The application of epilepsy-specific quality measures has been demonstrated in a few healthcare systems. However, there is no information to date on changes in epilepsy performance measures over time, and across settings, in a national sample. The Department of Veterans Affairs (VA) healthcare system provides an opportunity to study the changes in epilepsy-specific performance over time, in acute versus chronic epilepsy care, as well as in primary versus specialty care.

METHODS

Chart extractions of newly diagnosed epilepsy and chronic care of Veterans with epilepsy within the VA system were performed. Veterans with ICD-9-CM diagnosis 345.XX and 780.39 from 2007-2014 were identified. Epilepsy-specific performance measures based on the Quality Indicators in Epilepsy Treatment (QUIET) VA measurement were ascertained for each Veteran with epilepsy. Difference in care across time (2009, 2012, and 2014), source of epilepsy care (primary care only, neurology only, and shared care between neurology and primary care) was analyzed. Differences in proportion of care measures across variables were compared using chi-square statistics.

RESULTS

Chart reviews of 2386 Veterans with epilepsy included 297 women (11.2%), 281 (10.5%) receiving acute care and 2105 (89.5%) receiving chronic care. Across all years 203 (72.5%) had electroencephalograph ordered/performed, 225 (80.4%) had neuroimaging ordered/performed, 106 (37.9%) were instructed about driving precautions, 71 (25.4%) were educated about safety and injury prevention, and 251 (89.6%) had anti-seizure medication monotherapy initiated. The proportion of people with new-onset seizures educated about diagnosis and type of seizure increased over time 30 (34.9%) in 2008, 42 (43.8%) in 2012, and 52 (53.1%). Of the 2105 Veterans receiving chronic care 864 (41.1%) encounters documented compliance of anti-seizure medication, 361 (17.15%) encounters addressed driving restrictions, 1345 (63.9%) encounters documented general education and counseling, 250 (11.9%) of encounters documented safety and injury prevention, 488 (23.2%) of encounters documented medication side effects, and 463 (22.0%) of encounters documented discussion of treatment options. With chronic epilepsy care, documentation of quality measures did not change with time. Veterans who were co-managed by primary care and neurology had a higher proportion of driving instruction and safety instructions compared to neurology or primary care alone.

DISCUSSION

In general, the epilepsy performance measures were high (>70% of new-onset epilepsy) for documentation diagnostic procedures (such as EEG and neuroimaging) and low across key educational and counseling measures (<50%). Despite the emphasis on the importance of psychosocial education and holistic management in the academic literature, through advocacy work, and during professional meetings, there was not a significant improvement in education and counseling over time. Some aspects of psychosocial education were performed better among primary care providers compared to neurologists. However, more attention and work need to be dedicated on implementing and documenting education and counseling people with epilepsy in the clinical setting.

Individuals who develop drug-resistant epilepsy within a year after initial diagnosis have higher burden of mental and physical diseases one-year prior to epilepsy diagnosis as compared to those whose seizures were controlled during the same interval

INTRODUCTION

Epilepsy is a neurological disease characterized by recurrent, unprovoked seizures and its impact on biological, cognitive, psychological, and social outcomes. An unmet need for finding effective treatment options exists. Identifying medical diagnoses present prior to a diagnosis of epilepsy is an important step in increasing our understanding of how people with epilepsy may respond to therapy, help guide clinicians in managing associated comorbid conditions, and inform future research.

METHODS

A population-based retrospective comparative cohort study was conducted using administrative claims data to explore differences in medical diagnoses prior to an initial diagnosis of epilepsy between patients with and without drug-resistant epilepsy (DRE) identified within one-year post diagnosis by evaluating standardized mean differences between the groups.

RESULTS

A total of 205,183 patients with newly diagnosed epilepsy were identified. Of those, 4.1% (n = 8340) were considered drug resistant one-year post diagnosis. Pain and mood disorders were the common physical and psychiatric diagnoses in both cohorts. Differences between the newly diagnosed epilepsy and DRE cohorts were observed. Patients in the DRE cohort were younger, had more encounters with the healthcare system, and higher burden of disease for both physical (e.g., headache, neuropathy, muscular-skeletal disorders, and traumatic brain injury) and psychiatric diagnoses (e.g., depression, anxiety, bipolar disorder, suicidal thoughts, drug dependency, and sleep disorders).

CONCLUSION

Physical and psychiatric diagnoses are common one year prior to first diagnosis of epilepsy in administrative claims data. Compared to patients without DRE, those who develop DRE within one-year post initial diagnosis demonstrated a higher burden of disease.

Lacosamide serum concentrations during pregnancy

Still considered a new ASD, teratogenicity from lacosamide (LCM) exposure during pregnancy is unknown. LCM metabolism through several cytochrome P450 enzymes and minor glucuronidation metabolism in the liver may increase during pregnancy and theoretically lead to lower LCM levels during pregnancy and the risk of increased seizures. Our objective was to determine the impact of pregnancy on serum LCM levels in a series of women with epilepsy (WWE). We identified seven pregnancies with exposure to LCM with at least one level drawn during pregnancy. Patient ages ranged from 18 to 38 years (mean 26.4 years) and total daily doses of LCM ranged from 200 to 600 mg/day. Two patients had increased dose adjustments in response to breakthrough seizures. Dose normalized concentrations (DNC) showed an overall decrease over time through each trimester (p = 0.002) and significantly lower during trimester 2 and 3 (p = 0.001 and p = 0.004, respectively) compared to pre-pregnancy levels. There were no significant changes in seizure frequency and none of the neonates had teratogenic findings at time of birth. We are the first to report a case series on the changes in LCM levels during pregnancy with significant decreased LCM DNC levels during the second and third trimesters in comparison to pre-pregnancy values.

Enhanced rates of detection and treatment of depression and anxiety disorders among adult patients with epilepsy using automated EMR-based screening

OBJECTIVE

Depression and anxiety disorders are common among patients with epilepsy (PWE). These comorbidities have been shown to influence prognosis and may have a greater impact on quality of life than seizure control. Despite guideline recommendations and expert consensus to regularly screen for and treat both conditions, there is evidence that they are underdiagnosed and undertreated. Our goal was to test a novel screening method to determine if it would increase the rate of detecting and treating depression and anxiety disorders among PWE.

METHOD

The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and the Brief Epilepsy Anxiety Survey Instrument (brEASI) were selected as validated screening instruments for depression and anxiety disorders, respectively. They were sent via an electronic medical record-linked patient portal to all patients of four epileptologists 48 h prior to their clinic appointment. We evaluated whether this increased the rate of detecting and treating depression and anxiety disorders relative to a historical control group.

RESULTS

A total of 563 patients were included of whom 351 were sent the screening instruments. 62.7% of patients completed the screening instruments of whom 47.7% screened positive for either depression only (16.4%), anxiety disorders only (5.5%) or both (25.9%); a statistically significant increase relative to the control group. There was also a significantly increased proportion of patients for whom treatment was initiated for depression (p < 0.01), anxiety disorders (p < 0.01), or both (p < 0.01).

CONCLUSIONS

We identified an easily applicable and efficient means of enhancing detection and treatment rates for depression and anxiety disorders among PWE in a busy clinic setting.

Utility of mental health and sleep screening questionnaires for patients admitted to a seizure monitoring unit

RATIONALE

Patients with seizure disorders have relatively high rates of comorbid psychological and sleep disorders. Because these can profoundly affect quality of life, early recognition and treatment are of potential benefit. As a quality improvement project, we evaluated the performance and utility of a set of mental health and sleep quality screening questionnaires in patients admitted to a VA seizure monitoring unit (SMU).

METHODS

Questionnaires, including the Beck Depression Inventory-II (BDI-II), the post-traumatic stress disorder (PTSD) checklist (PCL), the Quality of Life in Epilepsy Inventory-31 (QOLIE-31), and the Pittsburgh Sleep Quality Index (PSQI), were administered to 100 patients admitted to the Portland VAMC SMU. Scored results were entered into the electronic medical record (EMR) within 72 h of hospital admission. We assessed how many patients exceeded questionnaire cutoff scores, and whether these patients had prior mental health or sleep diagnoses or evaluations within the six months preceding admission. Following hospital discharge, providers completed a survey regarding the utility of the questionnaire results. We also reviewed EMR documented mental health and sleep visits during the six months following the SMU admission.

RESULTS

Forty-seven patients (47.5%) exceeded the cutoff score for the BDI-II, including 15 without an admission diagnosis of depression, and 14 who had not seen a mental health provider in the previous six months. Similarly, 33 patients (33.3%) exceeded the cutoff score for the PCL, including nine without a diagnosis of PTSD. Scores on the BDI-II and PCL were highly correlated with the QOLIE-31 total score (r = 0.7). Seventy patients (70.7%) exceeded the cutoff score for poor sleep quality, and 37 did not have a sleep disorder diagnosis. Providers indicated that the questionnaire results were moderately or very helpful in most cases and influenced discharge recommendations to patients and referring providers in more than 50% of cases. Discharge recommendations for mental health or sleep follow-up were associated with EMR documented consultations within the six months following SMU admission.

CONCLUSIONS

The results suggest that a standard set of screening questionnaires can identify SMU patients at risk for mental health and sleep disorders, including patients not currently diagnosed or recently evaluated. Questionnaire results were perceived as helpful by providers and influenced discharge recommendations. Given that these disorders are treatable and have a major influence on health-related quality of life, the effort to collect and document this information is well justified.

Impact of intellectual and developmental disability on quality-of-life priorities in adults with epilepsy

OBJECTIVE

Adults living with intellectual and developmental disability (IDD) and epilepsy (IDD-E) face challenges in addition to those faced by the general population of adults with epilepsy, which may be associated with distinct priorities for improving health-related quality of life (HR-QOL). This study sought to (1) conduct a survey of HR-QOL priorities identified by adults with IDD-E and caregivers, and (2) perform an exploratory cross-sectional comparison to adults with epilepsy who do not have IDD.

METHODS

This cross-sectional study recruited 65 adults with IDD-E and 134 adults with epilepsy without IDD and caregivers. Using a three-step development process, 256 items from existing quality-of-life scales recommended by the American Academy of Neurology (AAN) were rated by patients/caregivers for their importance as HR-QOL priorities. HR-QOL items identified as critical to the majority of the sample of adults with IDD-E were reported. Health-related quality of life priorities were compared between adults with IDD-E and adults with epilepsy without IDD.

RESULTS

Health-related quality of life was significantly lower in adults with IDD-E. Health-related quality of life domains identified as critical priorities by adults with IDD-E included seizure burden, anti-seizure medication side effects, seizure unpredictability, and family impact. Priorities for improving HR-QOL differed between adults with and without IDD-E, with concerns about family impact, difficulty finding appropriate living conditions, inadequate assistance, and difficulty transitioning from pediatric-to-adult care valued significantly more among those with IDD-E.

SIGNIFICANCE

Intellectual and developmental disability is an important determinant of HR-QOL among adults with epilepsy. We report HR-QOL priorities identified by adults with IDD-E and their caregivers. These results may help epilepsy clinicians and researchers develop tailored strategies to address priorities of the patient with IDD-E/caregiver community.

Development and Evaluation of Computable Phenotypes in Pediatric Epilepsy:3 Cases

INTRODUCTION

Computable phenotypes allow identification of well-defined patient cohorts from electronic health record data. Little is known about the accuracy of diagnostic codes for important clinical concepts in pediatric epilepsy, such as (1) risk factors like neonatal hypoxic-ischemic encephalopathy; (2) clinical concepts like treatment resistance; (3) and syndromes like juvenile myoclonic epilepsy. We developed and evaluated the performance of computable phenotypes for these examples using electronic health record data at one center.

METHODS

We identified gold standard cohorts for neonatal hypoxic-ischemic encephalopathy, pediatric treatment-resistant epilepsy, and juvenile myoclonic epilepsy via existing registries and review of clinical notes. From the electronic health record, we extracted diagnostic and procedure codes for all children with a diagnosis of epilepsy and seizures. We used these codes to develop computable phenotypes and evaluated by sensitivity, positive predictive value, and the F-measure.

RESULTS

For neonatal hypoxic-ischemic encephalopathy, the best-performing computable phenotype (HIE ICD-9/10 and [brain magnetic resonance imaging (MRI) or electroencephalography (EEG) within 120 days of life] and absence of commonly miscoded conditions) had high sensitivity (95.7%, 95% confidence interval [CI] 85-99), positive predictive value (100%, 95% CI 95-100), and F measure (0.98). For treatment-resistant epilepsy, the best-performing computable phenotype (3 or more antiseizure medicines in the last 2 years or treatment-resistant ICD-10) had a sensitivity of 86.9% (95% CI 79-93), positive predictive value of 69.6% (95% CI 60-79), and F-measure of 0.77. For juvenile myoclonic epilepsy, the best performing computable phenotype (JME ICD-10) had poor sensitivity (52%, 95% CI 43-60) but high positive predictive value (90.4%, 95% CI 81-96); the F measure was 0.66.

CONCLUSION

The variable accuracy of our computable phenotypes (hypoxic-ischemic encephalopathy high, treatment resistance medium, and juvenile myoclonic epilepsy low) demonstrates the heterogeneity of success using administrative data to identify cohorts important for pediatric epilepsy research.

Confirmation of infantile spasms resolution by prolonged outpatient EEGs

OBJECTIVE

There is no consensus on the type or duration of the posttreatment EEG needed for assessing treatment response for infantile spasms (IS). We assessed whether outpatient electroencephalograms (EEGs) are sufficient to confirm infantile spasms (IS) treatment response.

METHODS

Three-year retrospective review identified new-onset IS patients. Only presumed responder to IS treatment at 2 weeks with a prolonged (>90 minutes) outpatient EEG to assess treatment response and at least 3-month follow-up were included. Hypsarrhythmia, electroclinical spasms, and sleep were evaluated for the first hour and for the duration of the EEG.

RESULTS

We included 37 consecutive patients with new-onset IS and presumed clinical response at 2 weeks posttreatment. Follow-up outpatient prolonged EEGs (median: 150 minutes, range: 90-240 minutes) were obtained 14 days (IQR: 13-17) after treatment initiation. EEGs detected ongoing IS in 11 of 37 (30%) presumed early responders. Prolonged outpatient EEG had a sensitivity of 85% (confidence interval [CI] 55%-98%) for detecting treatment failure. When hypsarrhythmia and/or electroclinical spasms were not seen, EEG had a negative predictive value 92% (CI: 75%-99%) for confirming continued IS resolution. Outpatient EEG combined with clinical assessment, however, identified all treatment failures at 2 weeks. Compared with the entire prolonged EEG, the first-hour recording missed IS in 45% (5/11). While sleep was captured in 95% (35/37) of the full EEG recording, the first hour of recording captured sleep in only 54% (20/37).

SIGNIFICANCE

Infantile spasms treatment response can be confirmed with a clinical history of spasm freedom and an outpatient prolonged EEG without evidence for ongoing spasms (hypsarrhythmia/electroclinical spams on EEG). Outpatient prolonged EEG, but not routine EEGs, represents an alternative to inpatient long-term monitoring for IS posttreatment EEG follow-up.

Employment and occupational safety among patients with seizure disorders - findings from a tertiary hospital in Saudi Arabia

OBJECTIVE

Observational studies suggest that persons with seizure disorders are socially disadvantaged compared to the general population. There are scarce reports in the literature on the prevalence of employment and occupational safety among patients with seizure disorders in Saudi Arabia. We aimed to describe the occupational statuses of patients with seizure disorders and determine factors associated with unemployment.

METHODS

This was a cross-sectional study conducted at King Faisal Specialist Hospital and Research Center in Riyadh, Saudi Arabia. Five-hundred-and-forty patients with known seizure disorders or epilepsy who attended neurology and neurosurgery outpatient clinics between January and November 2018 completed a semi-structured questionnaire delivered by interview.

RESULTS

Forty-four percent of participants were unemployed (27% of males and 64% of females). Fifteen percent of currently or previously employed participants reported that they had formerly resigned from their job due to their seizure disorder, most commonly as a result of their own fears or concerns. Almost half of the participants reported that their employer made arrangements in the workplace for their seizure disorder, while 18% reported that they did not disclose their diagnosis. Gender, age, and highest educational level were associated with employment status and reason for unemployment. Patients with seizures secondary to trauma were less than half as likely to be employed compared to other participants (aOR = 0.45 95%CI 0.21-0.97, p = 0.042). Holding a driving license increased the odds of being employed (aOR = 2.68 95%CI 1.32-5.46, p = 0.007). Participants on 4 or more antiepileptic medications were more likely to report not being well enough to work.

SIGNIFICANCE

Patients with seizure disorders are at increased risk of unemployment, even though many desire work. Unemployment is linked to social factors rather than disease-specific characteristics. Employers in Saudi Arabia generally accommodate patients in the workplace; however, individuals should further be empowered with information on safety in the workplace and their rights to employment.

sEEG for Expansion of a Surgical Epilepsy Program: Safety and Efficacy in 152 Consecutive Cases

Objective

Stereoelectroencephalography (sEEG) is an intracranial encephalography method of expanding use. The need for increased epilepsy surgery access has led to the consideration of sEEG adoption by new or expanding surgical epilepsy programs. Data regarding safety and efficacy are uncommon outside of high‐volume, well‐established centers, which may be less applicable to newer or low‐volume centers. The objective of this study was to add to the sEEG outcomes in the literature from the perspective of a rapidly expanding center.

Methods

A retrospective chart review of consecutive sEEG cases from January 2016 to December 2019 was performed. Data extraction included demographic data, surgical data, and outcome data, which pertinently examined surgical method, progression to therapeutic procedure, clinically significant adverse events, and Engel outcomes.

Results

One hundred and fifty‐two sEEG procedures were performed on 131 patients. Procedures averaged 10.5 electrodes for a total of 1603 electrodes. The majority (84%) of patients progressed to a therapeutic procedure. Six clinically significant complications occurred: three retained electrodes, two hemorrhages, and one failure to complete investigation. Only one complication resulted in a permanent deficit. Engel 1 outcome was achieved in 63.3% of patients reaching one‐year follow‐up after a curative procedure.

Significance

New or expanding epilepsy surgery centers can appropriately consider the use of sEEG. The complication rate is low and the majority of patients progress to therapeutic surgery. Procedural safety, progression to therapeutic intervention, and Engel outcomes are comparable to cohorts from long‐established epilepsy surgery programs.

Implementation of an older adult epilepsy clinic utilizing pharmacist services

BACKGROUND

Antiseizure medications are commonly associated with adverse effects including behavioral and cognitive issues, drug interactions, idiosyncratic reactions, and long-term complications, which can lead to non-adherence. At the same time, there are limited reports describing multidisciplinary models of epilepsy care that include pharmacists.

OBJECTIVE

To describe the pharmacist services in an epilepsy clinic for older adults and document the patient care delivered using this design.

PRACTICE DESCRIPTION

A subspecialty older adult epilepsy clinic, embedded within a neurology clinic, in an urban academic medical center.

PRACTICE INNOVATION

Integration of pharmacy services to document medication history, provide medication reconciliation, identify medication-related problems, and make interventions.

EVALUATION METHODS

Data were retrospectively evaluated for the patients seen by the pharmacist and epilepsy team between July 2019 and January 2021. Data were summarized with descriptive statistics.

RESULTS

Fifty-eight patients with a total of 94 encounters (70.7% of all specialty clinic visits) were seen collaboratively by the physician and the pharmacist. The majority of patients were African American (87.9%), aged 63.7 ± 8.2 years, and more frequently male (58.6%), and a high proportion had some baseline memory loss or diagnosis of dementia (53.4%). Medication reconciliation occurred in 94 (100%) encounters. More than half the encounters required reconciliation to the existing medication list by adding medication (55.3 % of encounters) or deleting mediations (53.2% of encounters). Presence of adverse effects was the most common medication-related problem identified (23.4%). Resolutions to the medication-related problems were also reported.

CONCLUSION

The population of older adults with epilepsy is expected to increase in prevalence. Pharmacists are able to impact medication-related problems in a vulnerable, high-risk patient population. The multidisciplinary model we describe here can be used as a template to provide care in ambulatory care practices involving other neurology specialties with a high proportion of older adult patients.

Efficacy and safety of cenobamate in patients with uncontrolled focal seizures: A meta-analysis

OBJECTIVE

To investigate the efficacy and safety of adjunctive cenobamate for treatment of uncontrolled focal seizures.

METHODS

We performed a systematic search of Web of Science, MEDLINE (Ovid and PubMed), Cochrane Library, EMBASE and Google Scholar to identify eligible studies. We included randomized placebo-controlled trials (RCTs) for uncontrolled focal seizures. We calculated the risk ratio (RR) of ≥50%, ≥75% and 100% reduction in seizure frequency from baseline, as well as dropout and serious adverse events related to treatment. Quality of included trials was assessed using the Cochrane Collaboration's tool.

RESULTS

Two RCTs with a total of 658 patients were included. A significantly larger proportion of patients allocated to cenobamate achieved 50% seizure reduction (RR 2.06, 95% CI 1.70-2.51, p < 0.001) as compared to placebo, subgroup analysis demonstrated that the most effective dose was at 400 mg (RR 2.28, 95% CI 1.57-3.32, p < 0.001). Patients achieving seizure-freedom during the treatment period were 14.9% with cenobamate and 4.5% with placebo (RR 5.32, 95% CI 2.94-9.62, p < 0.001). Dropouts (RR 1.40, 95% CI 1.01-1.94, p = 0.05) and incidence of serious adverse events (RR 1.48, 95% CI 0.93-2.33, p = 0.1) were not significantly higher in patients receiving cenobamate. However, subgroup analyses based on doses suggested that patients exposed to 400 mg cenobamate were more likely to dropout than placebo (RR 2.09, 95% CI 1.17- 3.71, p = 0.012).

CONCLUSION

Cenobamate demonstrated favourable efficacy for treatment of uncontrolled focal seizures and showed a dose-related fashion. Cenobamate could be well tolerated, the most common adverse events associated with cenobamate were dizziness, somnolence, fatigue, headache and nausea. Nevertheless, majority of them were mild to moderate in severity.

Evaluation and management of drug resistant epilepsy in children

Epilepsy is one of the most common neurological conditions in children. Most children with epilepsy respond to anti- epileptic drugs (AEDs) but approximately 30% of children develop drug resistant epilepsy (DRE) defined as 'the failure of adequate trials of two tolerated, appropriately chosen and used anti-epileptic drugs (AEDs)'. DRE is associated with serious consequences including higher mortality and worse cognitive outcomes. DRE impacts several aspects of the child's and the caregiver's life.

Examining brief and ultra-brief anxiety and depression screening methods in a real-world epilepsy clinic sample

OBJECTIVE

Recent epilepsy quality measure recommendations for depression and anxiety screening endorse ultra-brief screeners, the Patient Health Questionnaire-2 (PHQ-2) and Generalized Anxiety Disorder-2 (GAD-2). Thus, it is important to assess how symptom detection may be affected using ultra-brief screeners compared with slightly longer, well-validated instruments: Neurological Disorders Depression Inventory-Epilepsy (NDDI-E) and Generalized Anxiety Disorder-7 (GAD-7). The objective was to compare symptom detection by brief versus ultra-brief depression and anxiety screeners in a large real-world epilepsy clinic sample.

METHODS

This was a prospective, cross-sectional assessment of consecutive patients in an adult tertiary epilepsy practice who completed the GAD-7 and NDDI-E with embedded ultra-brief scales (GAD-2; GAD-Single Item: GAD-SI; NDDI-E 2 item: NDDIE-2) on a tablet and had clinic staff administered ultra-brief PHQ-2 (yes/no version) documented in the medical record at the same visit. Prevalences of positive anxiety and depression screens were calculated for each instrument overall, and by epilepsy status. Concordance correlation coefficients (CCC) were calculated comparing the ultra-brief with brief anxiety and depression instruments, and receiver operating curves (ROC) were calculated using the longer instruments as alternative standards.

RESULTS

Among N = 422 individuals the prevalence of positive anxiety screen by GAD-7 was 24% and positive depression screen by NDDI-E was 20%. Positive anxiety and depression screens were significantly less prevalent among seizure-free individuals than those with continued seizures. The verbally administered yes/no PHQ-2 had only 1 positive screen (0.2%). Other than poor concordance between the PHQ-2 and NDDI-E, the screener pairs had acceptable concordance (CCC 0.79 to 0.92). Areas under the ROC curves were acceptable for the NDDIE-2, GAD-2 and GAD-SI (0.96, 0.98, and 0.89, respectively).

SIGNIFICANCE

In this sample, clinic staff interview-administered yes/no PHQ-2 had exceedingly low sensitivity compared with the NDDI-E self-reported on a tablet. Further investigation is warranted to assess if poor detection is due to characteristics of this PHQ-2 in epilepsy samples, or method of administration in this clinic. The other ultra-brief anxiety and depression instruments demonstrated good concordance with the longer, well-validated instruments and may be useful in clinical practice.

Telemedicine Can Support Measurable and High-Quality Epilepsy Care During the COVID-19 Pandemic

Routine outpatient epilepsy care has shifted from in-person to telemedicine visits in response to safety concerns posed by the coronavirus disease 2019 (COVID-19) pandemic. But whether telemedicine can support and maintain standardized documentation of high-quality epilepsy care remains unknown. In response, the authors conducted a quality improvement study at a level 4 epilepsy center between January 20, 2019, and May 31, 2020. Weekly average completion proportion of standardized documentation used by a team of neurologists for adult patients for the diagnosis of epilepsy, seizure classification, and frequency were analyzed. By December 15, 2019, a 94% average weekly completion proportion of standardized epilepsy care documentation was achieved that was maintained through May 31, 2020. Moreover, during the period of predominately telemedicine encounters in response to the pandemic, the completion proportion was 90%. This study indicates that high completion of standardized documentation of seizure-related information can be sustained during telemedicine appointments for routine outpatient epilepsy care at a level 4 epilepsy center.

Establishing a learning healthcare system to improve health outcomes for people with epilepsy

OBJECTIVE

To describe the organization of the Epilepsy Learning Healthcare System (ELHS), a network that aims to improve care outcomes for people with epilepsy (PWE).

MATERIALS AND METHODS

Patients and family partners, providers, researchers, epidemiologists, and other leaders collaborated to recruit epilepsy centers and community services organizations into a novel learning network. A multidisciplinary Coordinating Committee developed ELHS governance and organizational structure, including four key planning Cores (Community, Clinical, Quality Improvement, and Data). Through Quality Improvement (QI) methodology grounded in the Institute for Healthcare Improvement (IHI) model, including iterative Plan-Do-Study-Act (PDSA) rapid learning cycles and other learning and sharing sessions, ELHS equipped epilepsy centers and community organizations with tools to standardize, measure, share, and improve key aspects of epilepsy care. The initial learning cycles addressed provider documentation of seizure frequency and type, and also screening for medication adherence barriers. Rapid learning cycles have been carried out on these initial measures in both clinical centers and community-based settings. Additional key measures have been defined for quality of life, screening, and treatment for mental health and behavioral comorbidities, transition from pediatric to adult care, counseling for women and girls living with epilepsy, referral for specialty care, and prevention and treatment of seizure clusters and status epilepticus.

RESULTS

It is feasible to adopt a learning healthcare system framework in epilepsy centers and community services organizations. Through structured collaboration between epilepsy care providers, community support organizations, PWE, and their families/caregivers we have identified new opportunities to improve outcomes that are not available in traditional care models.

Managing depression and anxiety in people with epilepsy: A survey of epilepsy health professionals by the ILAE Psychology Task Force

Objectives

The Psychology Task Force of the Medical Therapies Commission of the International League Against Epilepsy (ILAE) has been charged with taking steps to improve global mental health care for people with epilepsy. This study aimed to inform the direction and priorities of the Task Force by examining epilepsy healthcare providers' current practical experiences, barriers, and unmet needs around addressing depression and anxiety in their patients.

Methods

A voluntary 27-item online survey was distributed via ILAE chapters and networks. It assessed practices in the areas of screening, referral, management, and psychological care for depression and anxiety. A total of 445 participants, from 67 countries (68% high income), commenced the survey, with 87% completing all components. Most respondents (80%) were either neurologists or epileptologists.

Results

Less than half of respondents felt adequately resourced to manage depression and anxiety. There was a lack of consensus about which health professionals were responsible for screening and management of these comorbidities. About a third only assessed for depression and anxiety following spontaneous report and lack of time was a common barrier (>50%). Routine referrals to psychiatrists (>55%) and psychologists (>41%) were common, but approximately one third relied on watchful waiting. A lack of both trained mental health specialists (>55%) and standardized procedures (>38%) was common barriers to referral practices. The majority (>75%) of respondents' patients identified with depression or anxiety had previously accessed psychotropic medications or psychological treatments. However, multiple barriers to psychological treatments were endorsed, including accessibility difficulties (52%).

Significance

The findings suggest that while the importance of managing depression and anxiety in patients with epilepsy is being recognized, there are ongoing barriers to effective mental health care. Key future directions include the need for updated protocols in this area and the integration of mental health professionals within epilepsy settings.

Neurologist prescribing versus psychiatry referral: Examining patient preferences for anxiety and depression management in a symptomatic epilepsy clinic sample

OBJECTIVE

Anxiety and depression symptoms in epilepsy are common, impactful and under-recognized and undertreated. While prior survey data suggests equipoise among epileptologists for managing anxiety and/or depression via prescribing in the epilepsy clinic versus psychiatry referral, patient preferences are unknown and should potentially influence practice habits among epileptologists. Thus, the primary objective of this study was to determine patient preference for anxiety and/or depression prescribing by neurologists versus psychiatry referral among an adult epilepsy clinic sample of symptomatic patients.

METHODS

Management preferences for anxiety and/or depression were surveyed in an adult tertiary care epilepsy clinic. Individuals who screened positive for anxiety and/or depression symptoms on validated instruments during a routine care-embedded learning health system study were recruited. Demographics, social variables, psychiatric treatment history, and treatment priorities and preferences were surveyed. Preference was defined as a slightly greater than 2:1 ratio in favor neurology prescribing or psychiatry referral. The study was powered to assess this primary objective using a two-sample binomial test. Multinomial logistic regression examined an a priori multivariable model of treatment preference (secondary objective).

RESULTS

The study sample included N = 63 symptomatic adults, with 64% women and mean age 42.2 years. Most reported past or current treatment for anxiety and/or depression, and treatment for these symptoms was a high or moderate priority among 65.1% of the sample. Neurologist prescribing was preferred in 83.0% (nearly 5:1) over psychiatry referral among those who chose neurology or psychiatry (as opposed to neither of the two; p < 0.001, 95% CI 0.702-0.919). Overall, 69.8% of the total study sample preferred neurology prescribing. Multivariable modeling indicated preference for neither management option (compared with neurologist prescribing) was associated with low overall treatment prioritization and having never received neurologist medication management. None of the factors examined in the a priori multivariable model were associated with selecting psychiatry referral (compared to neurologist prescribing).

CONCLUSION

In this sample, most patients indicated a preference for neurologists to prescribe for anxiety or depression symptoms in the epilepsy clinic. Care models involving neurologist prescribing for anxiety and depression symptoms merit further investigation and potential adoption in clinical practice.

Validating Coding for the Identification of Pediatric Treatment Resistant Epilepsy Patients

The International Classification of Diseases (ICD) system includes sub codes to indicate that an individual with epilepsy is treatment resistant. These codes would be a valuable tool to identify individuals for quality improvement and population health, as well as for recruitment into clinical trials. However, the accuracy of these codes is unclear. We performed a single center cross sectional study to understand the accuracy of ICD codes for treatment resistant epilepsy. We identified 344 individuals, roughly half with treatment resistant epilepsy The ICD code had a sensitivity of 90% (147 of 164) and specificity of 86% (155 of 180). The miscoding of children with refractory epilepsy was attributed to the following reasons: 5 patients had epilepsy surgery, 4 had absence epilepsy, 4 patients were seen by different providers, and 1 patient was most recently seen in movement disorders clinic. ICD codes accurately identify children with treatment resistant epilepsy.

Design and implementation of electronic health record common data elements for pediatric epilepsy: Foundations for a learning health care system

OBJECTIVE

Common data elements (CDEs) are standardized questions and answer choices that allow aggregation, analysis, and comparison of observations from multiple sources. Clinical CDEs are foundational for learning health care systems, a data-driven approach to health care focused on continuous improvement of outcomes. We aimed to create clinical CDEs for pediatric epilepsy.

METHODS

A multiple stakeholder group (clinicians, researchers, parents, caregivers, advocates, and electronic health record [EHR] vendors) developed clinical CDEs for routine care of children with epilepsy. Initial drafts drew from clinical epilepsy note templates, CDEs created for clinical research, items in existing registries, consensus documents and guidelines, quality metrics, and outcomes needed for demonstration projects. The CDEs were refined through discussion and field testing. We describe the development process, rationale for CDE selection, findings from piloting, and the CDEs themselves. We also describe early implementation, including experience with EHR systems and compatibility with the International League Against Epilepsy classification of seizure types.

RESULTS

Common data elements were drafted in August 2017 and finalized in January 2020. Prioritized outcomes included seizure control, seizure freedom, American Academy of Neurology quality measures, presence of common comorbidities, and quality of life. The CDEs were piloted at 224 visits at 10 centers. The final CDEs included 36 questions in nine sections (number of questions): diagnosis (1), seizure frequency (9), quality of life (2), epilepsy history (6), etiology (8), comorbidities (2), treatment (2), process measures (5), and longitudinal history notes (1). Seizures are categorized as generalized tonic-clonic (regardless of onset), motor, nonmotor, and epileptic spasms. Focality is collected as epilepsy type rather than seizure type. Seizure frequency is measured in nine levels (all used during piloting). The CDEs were implemented in three vendor systems. Early clinical adoption included 1294 encounters at one center.

SIGNIFICANCE

We created, piloted, refined, finalized, and implemented a novel set of clinical CDEs for pediatric epilepsy.

Objective score from initial interview identifies patients with probable dissociative seizures

OBJECTIVE

To develop a Dissociative Seizures Likelihood Score (DSLS), which is a comprehensive, evidence-based tool using information available during the first outpatient visit to identify patients with "probable" dissociative seizures (DS) to allow early triage to more extensive diagnostic assessment.

METHODS

Based on data from 1616 patients with video-electroencephalography (vEEG) confirmed diagnoses, we compared the clinical history from a single neurology interview of patients in five mutually exclusive groups: epileptic seizures (ES), DS, physiologic nonepileptic seizure-like events (PSLE), mixed DS plus ES, and inconclusive monitoring. We used data-driven methods to determine the diagnostic utility of 76 features from retrospective chart review and applied this model to prospective interviews.

RESULTS

The DSLS using recursive feature elimination (RFE) correctly identified 77% (95% confidence interval (CI), 74-80%) of prospective patients with either ES or DS, with a sensitivity of 74% and specificity of 84%. This accuracy was not significantly inferior than neurologists' impression (84%, 95% CI: 80-88%) and the kappa between neurologists' and the DSLS was 21% (95% CI: 1-41%). Only 3% of patients with DS were missed by both the fellows and our score (95% CI 0-11%).

SIGNIFICANCE

The evidence-based DSLS establishes one method to reliably identify some patients with probable DS using clinical history. The DSLS supports and does not replace clinical decision making. While not all patients with DS can be identified by clinical history alone, these methods combined with clinical judgement could be used to identify patients who warrant further diagnostic assessment at a comprehensive epilepsy center.

Disability in people with epilepsy: A nationally representative cross-sectional study

OBJECTIVE

The objective of this study was to explore the prevalence and predictors of limitations causing disability in patients treated for seizures or epilepsy compared with patients without epilepsy.

METHODS

This was a retrospective cross-sectional study using the National Health and Nutrition Examination Survey (NHANES). We included all participants ≥20 years old for 2013-2018. We classified patients as having epilepsy if they reported taking at least one prescription medication to treat seizures or epilepsy. Physical, mental, and social limitations were determined from interview questions. We report the prevalence of any limitation and total number of limitations for participants without vs. with epilepsy using serial negative binomial regressions and severity of individual limitations according to epilepsy status.

RESULTS

We included 17,057 participants, of whom 148 (0.8%) had epilepsy. Overall, 80% (95% confidence interval [CI]: 73%-86%) with epilepsy vs. 38% (95% CI: 36%-39%) without epilepsy reported at least 1 limitation (p < 0.01). The mean number of limitations was 7.5 (95% CI: 6.2-8.8) for those with epilepsy vs. 2.4 (95% CI: 2.3-2.6) for those without epilepsy (p < 0.01). Epilepsy was associated with an incidence rate ratio (IRR) of 3.1 (95% CI: 2.6-3.7) in an unadjusted negative binomial regression. After adjusting for demographics and comorbidities, this association was no longer significant (IRR: 1.2, 95% CI: 0.9-1.7). Limitations cited by 40-50% of participants with epilepsy included stooping/kneeling/crouching, standing for long periods of time, and pushing/pulling objects. Limitation severity was consistently higher in patients with epilepsy.

CONCLUSIONS

Patients with epilepsy had 3.1 times as many physical, mental, or social limitations compared with those without epilepsy, and disability severity was consistently higher. This effect was attenuated after considering baseline variables such as smoking and depression severity. Our work implies the importance of structured mental health screening and self-management programs targeting mood, weight, and lifestyle as potential leverage points towards alleviating epilepsy-related disability.

Incremental burden of mental health conditions in adult patients with focal seizures

INTRODUCTION

Clinical research has consistently established mental health conditions (MHCs) as frequent comorbidities of epilepsy. However, the extent of economic burden of comorbid MHC in patients with focal seizures has not been systematically investigated. This retrospective cohort analysis of health plan claims compared healthcare use and costs among adult patients with focal seizures with and without comorbid MHC.

METHODS

We utilized the Inovalon Medical Outcomes Research for Effectiveness and Economics (MORE²) Registry, longitudinal data from over 150 commercial, Medicare Advantage, and managed Medicaid health plans for the analysis, and identified a cohort of patients with focal (partial-onset) seizure with relevant ICD9/10 diagnosis codes with and without MHC. Mental health conditions were defined as diagnoses for anxiety, bipolar condition/mania, attention-deficit conduct condition, major depression, schizophrenia, and other psychotic conditions, and patients without MHC were propensity score-matched to patients with preexisting MHC on baseline patient characteristics. The assessment examined a series of outcomes, including 1) direct healthcare resource utilization and 2) total provider reimbursement.

RESULTS

Patients with preexisting MHC were more likely to receive adjunctive epilepsy therapy as well as broad-spectrum antiepileptic drugs/antiseizure medications (ASMs). Additionally, patients with focal seizures and MHC were significantly more likely to utilize high-cost healthcare services. The presence of MHC was associated with approximately 50% greater utilization of emergency department (ED), physician, and inpatient services. Consequently, healthcare expenditures were significantly higher among patients with MHC ($17,596 vs. $10,857; 62% higher, p < 0.001), with the trend consistent across all care settings.

CONCLUSIONS

This analysis illustrates the health service utilization and cost implications of MHC among patients with focal seizures. The data suggest that patients with MHC have a greater overall clinical burden, which may be associated with higher healthcare resource use and expenditures. Because of the potential burden and costs associated with MHC, neurologists should consider screening patients with focal seizures for mental health disorders to identify and initiate treatment for comorbid mental health disorders.

Implementation of a Standardized Seizure Action Plan to Improve Communication and Parental Education

BACKGROUND

Quality measures have highlighted the need for efficient treatment of status epilepticus. One strategy is prevention of refractory status epilepticus through individualized seizure action plans. As a quality improvement project, we implemented a standardized seizure action plan to improve the delivery of key information to families of children with seizures.

METHODS

We implemented our standardized seizure action plan using plan-do-study-act cycles. The plans were distributed to caregivers of children (zero to 18 years) seen for seizures in outpatient neurology clinics. Families were given questionnaires at the beginning of each visit to gauge their understanding of their child's diagnosis, treatment, and comfort in emergency seizure management. Provider utilization rates and questionnaire responses were analyzed over time to assess the effectiveness of the action plan.

RESULTS

Provider utilization rates of the standardized seizure action plan improved from 0% to 58.1%. At baseline, 31.5% caregivers indicated that they did not know their child's epilepsy syndrome or seizure type, 29.6% did not know the emergency protocol at their child's school, 9.2% did not know when to consider a seizure an emergency or what to do if their child's seizure had become an emergency, and 17.5% were not comfortable administering rescue medication. Caregivers who received the action plan had improved responses at subsequent visits (P < 0.001), whereas those who did not receive the standardized form did not improve.

CONCLUSIONS

Standardizing provision of seizure action plans in pediatric neurology clinic can improve key elements of caregiver education regarding epilepsy diagnoses and seizure emergencies.

Telehealth in pediatric epilepsy care: A rapid transition during the COVID-19 pandemic

Telehealth's first literature reference is an article in 1879 in the Lancet about using the telephone to reduce unnecessary office visits (Institute of Medicine & Board on Health Care Services, 2012). However, providers have been slow to adopt telehealth into their clinical practice secondary to barriers such as cost and reimbursement (Kane and Gillis, 2018) [2]. The advent of shelter in place orders combined with the ongoing need defined by the Centers for Medicare & Medicaid Services (CMS) Administrator Seema Verma "for all Americans, and particularly vulnerable populations who are at heightened risk, to be able to access their providers" has resulted in the rapid implementation of telehealth across multiple specialties. The goal of this paper is to provide a practical framework for translating quality care in epilepsy as defined by the American Academy of Neurology (AAN) guidelines into a virtual care environment. We will also discuss the use and limitations of point of care testing in epilepsy management.

Measuring the impact of epilepsy on families

OBJECTIVE

Caring for a child with illness or a child with disability impacts family in various ways. The ability to assess the impact of this care on families is one way to proactively provide the necessary support and resources for impacted families. Accordingly, the goal of the current study was to assess the impact of pediatric epilepsy on individual families in a comprehensive epilepsy clinic using a slightly modified version of the Impact on Families Scale (IFS).

METHODS

Families of patients with epilepsy completed the IFS up to three times. The IFS score and the six categories (i.e., total impact, financial impact, general impact, family/social impact, coping, and sibling impact) were assessed using Student's two sample t-test to determine the differences between binary groups and Pearson's correlation to assess the associations with continuous variables. Linear regression modeling was used to develop a model to predict IFS score.

RESULTS

Three hundred and forty-one patients completed the scale at one time point, 314 at two time points, and 61 at three time points. The overall impact of epilepsy on families was 109 (95% confidence interval (CI): 106-112) at time point 1, 111 (95% CI: 108-114) at time point 2, and 112 (95% CI: 105-119) at time point 3. There was no statistical difference in IFS score among the three time points. There were no associations with age or gender. Multivariable modeling using stepwise regression indicated that treatment resistance and seizure-free status were associated with IFS score. No interaction effects were identified.

CONCLUSIONS

Findings from the current study suggest that the impact of epilepsy is highest for families that have children with active seizures at the time of their clinical visit and for those with children having treatment-resistant epilepsy. Although intuitive, this is the first study, to our knowledge, that has empirically verified these findings.

Managing Transition of Care in Adolescent Females with Epilepsy

Transition of care from pediatric epilepsy clinics to adult health care is often a challenging process, especially due to limited availability of relevant guidelines. It carries even more significant implications in specific population subsets such as adolescent females, given a myriad of physiological as well as psychosocial changes seen in this age group. Women with epilepsy face distinct challenges because of hormonal variations on seizures (catamenial epilepsy). Furthermore, seizures and antiepileptic drugs impact menstruation, pregnancy, and lactation. These patients are at a higher risk for developing mental health problems, and a close follow-up with appropriate screening for psychiatric disorders is prudent.

Several factors contributing to poor transition of care include limited availability of a multidisciplinary set-up and social-support services, delayed referral to specialist(s), and tendency for treatment nonadherence. In this review, we discuss the current scenario of transition of care in adolescent females with epilepsy and explore avenues for improvement based on our subspecialty clinic experiences. We illustrate the value of interdisciplinary care proactively involving neurologists/epileptologists, primary care physicians, obstetricians–gynecologists, and relevant social services and emphasize shared decision-making, effective contraceptive methods, preconceptual counseling, maintenance of bone-health, and enhanced quality of life.

Validation of EpiTRAQ, a transition readiness assessment tool for adolescents and young adults with epilepsy

OBJECTIVE

To design and validate a transition readiness assessment tool for adolescents and young adults with epilepsy and without intellectual disability.

METHODS

We adapted a general transition readiness assessment tool (TRAQ) to add epilepsy-relevant items based on concepts in current epilepsy quality measures. The adapted tool, EpiTRAQ, maintained the original structure and scoring system. Concurrent with clinical implementation in pediatric and adult epilepsy clinics at an academic medical center, we assessed the validity and reliability of this adapted tool for patients 16-26 years of age. This process included initial validation with 302 patients who completed EpiTRAQ between October 2017 and May 2018; repeat validation with 381 patients who completed EpiTRAQ between June 2018 and September 2019; and retest reliability among 153 patients with more than one completed EpiTRAQ.

RESULTS

Mean scores were comparable between initial and repeat validation populations (absolute value differences between 0.05 and 0.1); internal consistency ranged from good to high. For both the initial and repeat validation, mean scores and internal consistency demonstrated high comparability to the original TRAQ validation results. Upon retest, few patients rated themselves with a lower score, while the majority rated themselves with higher scores.

SIGNIFICANCE

EpiTRAQ is a valid and reliable tool for assessing transition readiness in adolescents and young adults with epilepsy and without intellectual disability.

Continued Gap in Seizure Frequency Documentation

Proper documentation during neurology clinic visits is essential. Medical providers that document precise and standardized findings aid other providers, nurses, and research personnel. The American Academy of Neurology (AAN) created standardized quality measures in order to improve delivery of care for patients with epilepsy, providers, and systems. In this article, we reviewed a total of 777 charts in order to find documentation on seizure frequency from the most recent clinical visit. Data was collected from electronic healthcare records. During initial chart review, the following information was noted: age, gender, seizure type(s), etiology type(s), provider (neurologist or epileptologist), whether seizure frequency was noted, and the reason for no documentation. The data review represented a sample of the epilepsy population seen at our institution. Of the 734 individuals, 475 patients had seizure frequency documented (65%). Two hundred and fifty-nine (259) people (35%) were missing seizure frequency data. For those individuals, we determined the reasoning behind why this data was not present in the chart note. Of those 259 charts, there were 65 (25%) charts missing seizure frequency, 161 (62%) charts that were vague, and 33 (13%) charts where seizure frequency could not be determined. Based on our findings, the documentation of seizure frequency is a gap in care.

Implementing standardized provider documentation in a tertiary epilepsy clinic

OBJECTIVE

To incorporate standardized documentation into an epilepsy clinic and to use these standardized data to compare patients' perception of epilepsy diagnosis to provider documentation.

METHODS

Using quality improvement methodology, we implemented interventions to increase documentation of epilepsy diagnosis, seizure frequency, and type from 49.8% to 70% of adult nonemployee patients seen by 6 providers over 5 months of routine clinical care. The main intervention consisted of an interactive SmartPhrase that mirrored a documentation template developed by the Epilepsy Learning Healthcare System. We assessed the weekly proportion of complete SmartPhrases among eligible patient encounters with a statistical process control chart. We used a subset of patients with established epilepsy care linked to existing patient-reported survey data to examine the proportion of patient-to-provider agreement on epilepsy diagnosis (yes vs no/unsure). We also examined sociodemographic and clinical characteristics of patients who disagreed vs agreed with provider's documentation of epilepsy diagnosis.

RESULTS

The median SmartPhrase weekly completion rate was 78%. Established patients disagreed with providers with respect to epilepsy diagnosis in 18.5% of encounters (κ = 0.13), indicating that they did not have or were unsure if they had epilepsy despite having a provider-documented epilepsy diagnosis. Patients who disagreed with providers were similar to those who agreed with respect to age, sex, ethnicity, marital status, seizure frequency, type, and other quality-of-life measures.

CONCLUSION

This project supports the feasibility of implementing standardized documentation of data relevant to epilepsy care in a tertiary epilepsy clinic and highlights an opportunity for improvement in patient-provider communication.

Accuracy of ICD-10-CM claims-based definitions for epilepsy and seizure type

OBJECTIVE

To evaluate the accuracy of ICD-10-CM claims-based definitions for epilepsy and classifying seizure types in the outpatient setting.

METHODS

We reviewed electronic health records (EHR) for a cohort of adults aged 18+ years seen by six neurologists who had an outpatient visit at a level 4 epilepsy center between 01/2019-09/2019. The neurologists used a standardized documentation template to capture the diagnosis of epilepsy (yes/no/unsure), seizure type (focal/generalized/unknown), and seizure frequency in the EHR. Using linked ICD-10-CM codes assigned by the provider, we assessed the accuracy of claims-based definitions for epilepsy, focal seizure type, and generalized seizure type against the reference-standard EHR documentation by estimating sensitivity (Sn), specificity (Sp), positive predictive value (PPV), and negative predictive value (NPV).

RESULTS

There were 673 eligible outpatient encounters. After review of EHRs for standardized documentation, an analytic sample consisted of 520 encounters representing 402 unique patients. In the EHR documentation, 93.5 % (n = 486/520) of encounters were with patients with a diagnosis of epilepsy. Of those, 66.0 % (n = 321/486) had ≥1 focal seizure, 41.6 % (n = 202/486) had ≥1 generalized seizure, and 7% (n = 34/486) had ≥1 unknown seizure. An ICD-10-CM definition for epilepsy (i.e., ICD-10 G40.X) achieved Sn = 84.4 % (95 % CI 80.8-87.5%), Sp = 79.4 % (95 % CI 62.1-91.3%), PPV = 98.3 % (95 % CI 96.6-99.3%), and NPV = 26.2 % (95 % CI 18.0-35.8%). The classification of focal vs generalized/unknown seizures achieved Sn = 69.8 % (95 % CI 64.4-74.8%), Sp = 79.4 % (95 % CI 72.4-85.3%), PPV = 86.8 % (95 % CI 82.1-90.7%), and NPV = 57.5 % (95 % CI 50.8-64.0%).

CONCLUSIONS

Claims-based definitions using groups of ICD-10-CM codes assigned by neurologists in routine outpatient clinic visits at a level 4 epilepsy center performed well in discriminating between patients with and without a diagnosis of epilepsy and between seizure types.