Comparison of common data elements from the Managing Epilepsy Well (MEW) Network integrated database and a well-characterized sample with nonepileptic seizures

Epilepsy, dissociative seizures, and mixed: Associations with time to video-EEG

PURPOSE

Video-electroencephalographic monitoring (VEM) is a core component to the diagnosis and evaluation of epilepsy and dissociative seizures (DS)-also known as functional or psychogenic seizures-but VEM evaluation often occurs later than recommended. To understand why delays occur, we compared how patient-reported clinical factors were associated with time from first seizure to VEM (TVEM) in patients with epilepsy, DS or mixed.

METHODS

We acquired data from 1245 consecutive patients with epilepsy, VEM-documented DS or mixed epilepsy and DS. We used multivariate log-normal regression with recursive feature elimination (RFE) to evaluate which of 76 clinical factors interacting with patients' diagnoses were associated with TVEM.

RESULTS

The mean and median TVEM were 14.6 years and 10 years, respectively (IQR 3-23 years). In the multivariate RFE model, the factors associated with longer TVEM in all patients included unemployment and not student status, more antiseizure medications (current and past), concussion, and ictal behavior suggestive of temporal lobe epilepsy. Average TVEM was shorter for DS than epilepsy, particularly for patients with depression, anxiety, migraines, and eye closure. Average TVEM was longer specifically for patients with DS taking more medications, more seizure types, non-metastatic cancer, and with other psychiatric comorbidities.

CONCLUSIONS

In all patients with seizures, trials of numerous antiseizure medications, unemployment and non-student status was associated with longer TVEM. These associations highlight a disconnect between International League Against Epilepsy practice parameters and observed referral patterns in epilepsy. In patients with dissociative seizures, some but not all factors classically associated with DS reduced TVEM.

The Managing Epilepsy Well (MEW) network database: Lessons learned in refining and implementing an integrated data tool in service of a national U.S. Research Collaborative

Epilepsy self-management (ESM) is the summative set of behaviors that people with epilepsy use to cope with seizures and optimize health. This report describes the implementation and evolution of the Managing Epilepsy Well Network Database (MEW DB), an integrated data resource intended to advance knowledge on ESM. The MEW DB utilizes a three-tiered (Tier 1-3) system of data organization, with tiers of data generally increasing in ascending complexity or collection burden. A MEW DB Steering Committee (SC) establishes consensus on planned analyses using a standardized new analysis request template. The data management structure facilitates harmonization and integration of additional data, or to update the database as new data become available. The current MEW DB comprises 1,563 people with epilepsy. Mean age was 39.9 years, 64.9% women (N = 1006), 12.8% African American (N = 170), 22.2% Hispanic (N = 306). On average, individuals have lived with epilepsy since their early 20s and are prescribed between 1 and 2 antiepileptic drugs. The MEW DB spans multiple socio-ecological levels to provide a robust multi-tiered framework for studying ESM. A total of 41 common data elements have been identified through iterative consensus. This integrated database takes advantage of an extensive collective background of archival evidence in ESM and brings together engaged investigators to build a dataset that represents diverse types of individuals with epilepsy, targets health domains important to ESM, and facilitates analyses that would not be possible with sites operating independently. Overall, the MEW DB serves the greater mission of this research collaborative and has potential to advance ESM research.

The Global Aging & Geriatric Experiments in Bipolar Disorder Database (GAGE-BD) project: Understanding older-age bipolar disorder by combining multiple datasets

OBJECTIVE

There is a dearth of research about the aging process among individuals with bipolar disorder (BD). One potential strategy to overcome the challenge of interpreting findings from existing limited older-age bipolar disorder (OABD) research studies is to pool or integrate data, taking advantage of potential overlap or similarities in assessment methods and harmonizing or cross-walking measurements where different measurement tools are used to evaluate overlapping construct domains. This report describes the methods and initial start-up activities of a first-ever initiative to create an integrated OABD-focused database, the Global Aging & Geriatric Experiments in Bipolar Disorder Database (GAGE-BD) project.

METHODS

Building on preliminary work conducted by members of the International Society for Bipolar Disorders OABD taskforce, the GAGE-BD project will be operationalized in four stages intended to ready the dataset for hypothesis-driven analyses, establish a consortium of investigators to guide exploration, and set the stage for prospective investigation using a common dataset that will facilitate a high degree of generalizability.

RESULTS

Initial efforts in GAGE-BD have brought together 14 international investigators representing a broad geographic distribution and data on over 1,000 OABD. Start-up efforts include communication and guidance on meeting regulatory requirements, establishing a Steering Committee to guide an incremental analysis strategy, and learning from existing multisite data collaborations and other support resources.

DISCUSSION

The GAGE-BD project aims to advance understanding of associations between age, BD symptoms, medical burden, cognition and functioning across the life span and set the stage for future prospective research that can advance the understanding of OABD.

Seizures, Nonepileptic Events, Trauma, Anxiety, or All of the Above

Psychiatric Comorbidity and Traumatic Brain Injury Attribution in Patients With Psychogenic Nonepileptic or Epileptic Seizures: A Multicenter Study of US Veterans

Salinsky M, Rutecki P, Parko K, Goy E, Storzbach D, O’Neil M, Binder L, Joos S. Epilepsia. 2018. Epub ahead of print. https://doi.org/10.1111/epi.14542

Objective: To determine the frequency and severity of psychiatric disorders and attribution of seizures to traumatic brain injury (TBI) in veterans with verified psychogenic nonepileptic seizures (PNES) versus epileptic seizures (ES). Methods: We studied 333 consecutive admissions to the monitoring units of 3 Veterans Administration epilepsy centers. All patients underwent continuous video-electroencephalographic recording to define definite PNES or ES. Evaluations included the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, 4th edition, posttraumatic stress disorder (PTSD) Checklist, Beck Depression Inventory II, and Patient Seizure Etiology Questionnaire. Interviews and questionnaires were completed prior to final seizure type diagnosis and patient debriefing. The primary outcome measure was a comparison of Axis I psychiatric diagnoses in patients diagnosed with PNES versus ES. Results: A total of 81 patients were diagnosed with PNES and 70 with ES. Posttraumatic stress disorder was the most frequent Axis I diagnosis in veterans with PNES (64% vs 13% of those with ES; P < .001). Posttraumatic stress disorder was common regardless of deployment to a war theater or combat exposure. Mood, substance abuse, and anxiety disorders were also more common in the PNES group. Traumatic brain injury was cited as a likely cause of seizures by 47% of veterans with PNES versus 25% of those with ES (P = .01). Posttraumatic stress disorder and attribution of seizures to TBI were found in 30% of veterans with PNES versus 3% of those with ES (P < .001). Significance: In veterans referred for inpatient seizure evaluation, PTSD was strongly associated with a diagnosis of PNES versus ES. The association of PNES with PTSD, attribution of seizures to TBI, or both, may prompt early consideration of PNES.

Caring electronically for young outpatients who have epilepsy

PURPOSE

The purpose of this study was to review electronic tools that might improve the delivery of epilepsy care, reduce medical care costs, and empower families to improve self-management capability.

METHOD

We reviewed the epilepsy-specific literature about self-management, electronic patient-reported or provider-reported outcomes, on-going remote surveillance, and alerting/warning systems.

CONCLUSIONS

The improved care delivery system that we envision includes self-management, electronic patient (or provider)-reported outcomes, on-going remote surveillance, and alerting/warning systems. This system and variants have the potential to reduce seizure burden through improved management, keep children out of the emergency department and hospital, and even reduce the number of outpatient visits.

Neuropsychiatric features of the coexistence of epilepsy and psychogenic nonepileptic seizures

OBJECTIVE

To investigate demographic, epidemiologic and psychiatric features suggestive of the coexistence epilepsy (ES) and psychogenic nonepileptic seizures (PNES) that may contribute to precocious suspicion of the association.

METHODS

In this exploratory study, all patients older than 16 years admitted to prolonged video-electroencephalogram monitoring were evaluated about demographic, epileptological and psychiatric features. Detailed psychiatric assessment using M.I.N.I.-plus 5.0, Beck Anxiety Inventory, Beck Depression Inventory and the Childhood Trauma Questionnaire (CTQ) was performed. Data were collected previous to the final diagnosis and patients with ES-only, PNES-only or coexistence of ES/PNES were compared.

RESULTS

Of 122 patients admitted to epilepsy monitoring unit, 86 patients were included and 25 (29%) had PNES. Twelve (14%) had PNES-only, 13 (15%) had ES/PNES and the remaining 61 (71%) had only ES. A coexistence of ES and PNES was associated with clinical report of more than one seizure type (p˂0.001), nonspecific white matter hyperintensities on MRI (p < .001) and a past of psychotic disorder (p = .005). In addition, these patients had significantly more emotional abuse and neglect (p < .002 and 0.001, respectively). Somatization (including conversion disorder) was the most common diagnosis in patients with PNES- only (83%) and co-existing of PNES and ES (69.2%), differentiating both from ES-only patients (p < .001).

CONCLUSION

The high prevalence of this coexistence ES/PNES in this study reinforces a need to properly investigate PNES, especially in patients with confirmed ES who become refractory to medical treatment with antiepileptic drugs. The neuropsychiatric assessment may help to diagnostic suspicion and in the planning of therapeutic interventions.

Youth With Psychogenic Non-Syncopal Collapse Have More Somatic and Psychiatric Symptoms and Lower Perceptions of Peer Relationships Than Youth With Syncope

BACKGROUND

Little is known about somatic and psychiatric symptoms and perceived peer relationships of patients with psychogenic nonsyncopal collapse.

OBJECTIVE

This study aimed to compare somatic and psychiatric symptoms and other elements potentially related to functional neurological symptom disorders between youth with psychogenic nonsyncopal collapse and those with neurally mediated syncope.

METHODS

Before testing, patients completed a structured interview and questionnaire addressing current symptoms, previous psychiatric diagnoses, referrals, diagnostic testing, prescribed medications, and patient self-ratings of anxiety, depression, and perceived peer relationships.

RESULTS

Compared with patients with syncope (n = 60), patients with psychogenic nonsyncopal collapse (n = 60) had higher ratings for lightheadedness and vertigo, more abdominal pain, more chronic headaches, more fatigue, more sleep disturbances, more prescriptions for antidepressant medicines, more encephalograms performed, more referrals to psychiatry, and more psychiatric diagnoses including anxiety, depression, posttraumatic stress disorder, previous nonfainting conversion disorders, and eating disorders (all p < 0.05). Patients with psychogenic nonsyncopal collapse rated their anxiety (10.5 ± 7.7 versus 5.9 ± 5.8, p < 0.001) and depression (8.7 ± 8.3 versus 3.1 ± 5, p < 0.001) symptoms higher and their peer relationships (37 ± 12.3 versus 47.6 ± 7.9, p < 0.001) lower than patients with syncope. Peer relationships remained significantly lower (p = 0.001) when analyzed with anxiety and depression.

CONCLUSION

Patients with psychogenic nonsyncopal collapse have more symptom complaints and perceptions of poorer peer social interactions than patients with syncope. These results broaden our understanding of the biopsychosocial profile that increases an individual's vulnerability to psychogenic nonsyncopal collapse specifically and to functional neurological symptom disorders in general.