Caregiver burden in psychogenic non-epileptic seizures

Stigma in functional neurological disorder (FND) - A systematic review

OBJECTIVE

The purpose of this systematic review was to evaluate stigma and Functional Neurological Disorder (FND) regarding: 1) prevalence and associated factors, 2) the nature and context of stigma in FND, and 3) stigma-reduction interventions.

METHODS

We searched four relevant databases from inception to December 2023, using search terms relevant to FND and stigma themes. We employed the method of synthesis by "aggregation and configuration" to synthesise and analyse the data into emergent themes.

RESULTS

We found 127 studies, spanning 148 countries, involving 18,886 participants. Of these, 4889 were patients, 13,123 were healthcare professionals, and 526 were caregivers. Quantitatively, stigma has been mainly studied in patients with functional seizures, and was higher than patients with epilepsy in three studies. Stigma experienced by patients is associated with poorer quality of life and caregiver burden. We found 10 themes and 29 subthemes revealing stigma as a systemic process, with intrapersonal, interpersonal and structural aspects. Few studies examined the perspective of caregivers, the public or online community. We identified six anti-stigma interventions.

CONCLUSION

Stigma in FND is a layered process, and affects patient quality of life and provision of care. Stigma needs to be addressed from the top structures, at governmental level, so that appropriate care pathways can be created, giving patients with FND parity of esteem with other medical conditions.

How stigma unfolds for patients with Functional Neurological Disorder

OBJECTIVE

The aim of this study was to explore experiences of stigma in Functional Neurological Disorder (FND) from the perspective of the patient as it manifests from the onset of symptoms, up to diagnosis and subsequently.

BACKGROUND

The existing literature clearly shows that stigma exists for many patients with FND, and is associated with poorer quality of life. However, it is less clear how stigma unfolds, and how it can be alleviated.

METHODS

We performed a qualitative interview study with patients who were diagnosed with FND, using data based on semi-structured interviews. Participants were recruited purposively via outpatient clinics. We analysed the data using a reflexive thematic analytic approach, through the lens of recognised stigma frameworks.

RESULTS

15 participants were included in the study, aged between 19 and 68 years, with varying presentations of FND. We identified six themes and 16 subthemes relevant to their stigma trajectory. We found that stigma unfolds through four main domains: 1) through their symptom experience; 2) through "othering" by the healthcare system; 3) through everyday interactions; and 4) from within the self. Across these four domains was a central theme of 5) stages of knowledge, which both fuelled and countered stigma. Lastly, 6) validation of the patient experience emerged as a theme that alleviated stigma.

CONCLUSIONS

Stigma did not unfold as a linear process, rather it came from multiple interacting sources. Interventions to target stigma could take the form of improved clinician training, communication, especially around point of diagnosis, and public interventions, co-produced with patients with FND.

Burden of Wilson Disease among patients and care partners in the United States: results from a cross-sectional survey

OBJECTIVE

This study assessed the burden of Wilson Disease (WD) among patients and care partners (WD-CPs) in the US and compared it to a US general population of adults (GPs) and care partners (GP-CPs).

METHODS

This cross-sectional, self-reported survey included patients with WD and WD-CPs aged ≥18 years recruited through the Wilson Disease Association (WDA), while data for GPs and GP-CPs were obtained from the 2022 National Health and Wellness Survey. GPs and GP-CPs were propensity score matched (3:1) with WD patients and WD-CPs for demographics and health characteristics. Bivariate analysis evaluated differences in comorbidity burden and health-related outcomes of the WD cohorts compared to matched GP cohorts.

RESULTS

Thirty-seven patients with WD and 53 WD-CPs completed the survey. Most patients reported some treatment burden (73.3%), experienced sleep problems (60%), and visited a healthcare provider (HCP) in the past 6 months (91.9%). Compared with matched GPs, patients with WD had a significantly higher mortality risk (p < .001) and reported greater rates of chronic liver disease, cirrhosis (both, p < .001), migraines (p = .032), non-alcoholic steatohepatitis (p = .004), sleep problems (p = .009) and HCP visits (p = .002). Most WD-CPs (75.5%) reported high burden of caring (mean ZBI-12 score, 26.5) and more negative impact on esteem than GP-CPs.

CONCLUSION

This study highlights the burden of WD experienced by patients and WD-CPs, with patients experiencing high treatment burden, comorbidity burden and healthcare resource utilization, and WD-CPs experiencing high impact of caring, including impact on employment and self-esteem.

Understanding the impact of pediatric single large-scale mtDNA deletion syndromes on caregivers: Burdens and challenges

Single large-scale mitochondrial deletion syndromes (SLSMDS) are ultra-rare, progressive multi-system diseases that make children largely dependent on their caregivers for both medical and non-medical needs. Yet, few studies have examined the burden felt among caregivers. As part of a larger research study, 42 caregivers of children with SLSMDS completed two surveys to assess caregiver burden. The Mitochondrial Care Network Patient Needs Survey (MCN-PNS) is a novel assessment that examines the logistical, time, and financial costs experienced by caregivers of children with SLSMDS. The Zarit Burden Interview (ZBI-22) is a validated assessment that examines caregivers' psychological health. Results demonstrate the unique burden experienced by caregivers of children with SLSMDS. One notable finding was the high psychological burden. Nearly 90% of caregivers experience psychological burden, with 20% of caregivers at risk for anxiety and depression. Caregivers were primarily concerned about what the future held for their child. Additional burdens included the time required to coordinate the child's healthcare visits and financial strains. Caregivers reported minimal delays in establishing care with a mitochondrial care specialist and felt confident in their understanding of their child's disease and treatment(s). Overall, there is a need for expanded logistical, financial, and psychological support from mitochondrial disease centers and advocacy groups for caregivers of children with SLSMDS.

Classification of Epileptic and Psychogenic Nonepileptic Seizures via Time-Frequency Features of EEG Data

The majority of psychogenic nonepileptic seizures (PNESs) are brought on by psychogenic causes, but because their symptoms resemble those of epilepsy, they are frequently misdiagnosed. Although EEG signals are normal in PNES cases, electroencephalography (EEG) recordings alone are not sufficient to identify the illness. Hence, accurate diagnosis and effective treatment depend on long-term video EEG data and a complete patient history. Video EEG setup, however, is more expensive than using standard EEG equipment. To distinguish PNES signals from conventional epileptic seizure (ES) signals, it is crucial to develop methods solely based on EEG recordings. The proposed study presents a technique utilizing short-term EEG data for the classification of inter-PNES, PNES, and ES segments using time-frequency methods such as the Continuous Wavelet transform (CWT), Short-Time Fourier transform (STFT), CWT-based synchrosqueezed transform (WSST), and STFT-based SST (FSST), which provide high-resolution time-frequency representations (TFRs). TFRs of EEG segments are utilized to generate 13 joint TF (J-TF)-based features, four gray-level co-occurrence matrix (GLCM)-based features, and 16 higher-order joint TF moment (HOJ-Mom)-based features. These features are then employed in the classification procedure. Both three-class (inter-PNES versus PNES versus ES: ACC: 80.9%, SEN: 81.8%, and PRE: 84.7%) and two-class (Inter-PNES versus PNES: ACC: 88.2%, SEN: 87.2%, and PRE: 86.1%; PNES versus ES: ACC: 98.5%, SEN: 99.3%, and PRE: 98.9%) classification algorithms performed well, according to the experimental results. The STFT and FSST strategies surpass the CWT and WSST strategies in terms of classification accuracy, sensitivity, and precision. Moreover, the J-TF-based feature sets often perform better than the other two.

Translating Phenomenology of Psychogenic Nonepileptic Seizures Into Nosology: Insights From Patients' and Caregivers' Profiles

BACKGROUND

Patients with psychogenic nonepileptic seizures (PNES) can be semiologically dichotomized into those with hyperkinetic and those with paucikinetic events. The objective of this study was to compare characteristics of patients with diverse phenomenology and their caregivers to evaluate for differences that could inform about disease nosology.

METHODS

Patients and caregivers monitored at the Epilepsy Monitoring Unit completed surveys about sociodemographic and disease characteristics, treatment and health care utilization, physical and psychosocial impact, and epilepsy knowledge. Patients were classified into hyperkinetic versus paucikinetic based on their recorded events. Comparison of the 2 populations was performed using Student t test for continuous variables and Fischer exact test for categorical variables.

RESULTS

Forty-three patients with Epilepsy Monitoring Unit confirmed PNES and 28 caregivers were enrolled. Patients with hyperkinetic events were more commonly non-White patients and necessitated greater caregiving time. Otherwise, no statistically significant differences were seen between the 2 semiologically diverse groups of patients and caregivers in their sociodemographic (age, sex, employment, income, marital, and education) and disease (age of onset, duration, seizures frequency) characteristics, treatment (number of antiseizure medications before diagnosis, side effects) and health care utilization (emergency room visits, hospitalizations, clinic visits), physical (injuries) and psychosocial (depression, anxiety, quality of life, stigma, burden) characteristics, nor in their knowledge about seizures.

CONCLUSIONS

Hyperkinetic events were more frequently encountered in non-White patients and required more caregiving time. Further research is required to elucidate if phenomenological dichotomy of PNES can inform about their nosological basis, and if it can guide treatment and define prognosis.

Depression and Anxiety in Adult Persons With Epilepsy and Their Caregivers: A Survey-Based Study at a Tertiary Care Center

ABSTRACT

This study evaluated the rates of depression and anxiety and their determinants in adult persons with epilepsy and their caregivers. Both completed surveys about demographic, disease-related, and psychosocial characteristics. One hundred patients and caregivers participated. A mood disorder was present in 89% of patients and 56% of caregivers. In the univariate analysis, the presence of mood disorder in the patient was associated with being unmarried, unemployed, frequent hospitalizations, side effects from polypharmacy, patient stigma, patient quality of life, caregiver anxiety, and caregiver burden. In the multivariate analysis, medication side effects sustained as an important determinant. In the univariate analysis, the presence of mood disorder in the caregiver was associated with seizure frequency, patient anxiety, patient quality of life, caregiver stigma, and caregiver burden. In the multivariate analysis, patient anxiety level and caregiver burden sustained as important determinants. Adult persons with epilepsy and their caregivers experience high rates of mood disorders, explained by certain clinical factors.

Psychiatric comorbidities in patients with psychogenic nonepileptic seizures

BACKGROUND

Psychogenic nonepileptic seizures (PNES) are major challenges for diagnosis and management. The heterogeneity of psychogenic seizures is attributed to diverse psychopathological comorbidities, and the causal relationship between PNES and underlying psychopathologies is still enigmatic.

OBJECTIVE

Our objective was to study psychiatric comorbidities and personality constructs in patients with PNES and compare them to a control group of patients with epilepsy.

METHOD

We randomly recruited 33 patients with PNES and 33 patients with epilepsy. All patients completed the Mini-International Neuropsychiatric Interview (MINI) to screen for psychiatric comorbidities, the Structured Clinical Interview for psychiatric disorders in Axis II (SCID II) to screen for personality disorders, and Goldberg's International Personality Item Pool (IPIP) Big Five personality questionnaire to study the psychological constructs of extroversion-introversion, agreeableness, conscientiousness, emotional stability-neuroticism, and intellect.

RESULT

Mood and anxiety disorders were highly prevalent in patients with PNES (72.7% and 54.5%, respectively); however, the prevalence of only cluster B personality disorder was higher in patients with PNES (69.7%) compared to 33.3% among patients with epilepsy (p < 0.05). Screening for personality disorders using SCID II showed that the prevalence of borderline and depressive personality disorders was significantly higher in patients with PNES (p < 0.001). Patients with psychogenic seizures were more likely to be receiving polydrug therapy (75.8%) compared to patients with epileptic seizures (45.5%); this difference was statistically significant (p < 0.05).

CONCLUSION

Psychiatric comorbidities are highly prevalent among patients with PNES.

Social aspects of life in patients with functional seizures: Closing the gap in the biopsychosocial formulation

The human, as a biological system, is an open system embedded within larger systems -including the family, culture, and socio-political environment. In this context, a patient with functional seizures (FS) is embedded in relationships, educational/professional institutions, culture, and society. Both connection to these broader systems and the quality of these connections, as well as the soundness of each system in and of itself, influence the health and well-being of patients in positive or negative ways. The social aspects of life are important determinants of health and quality of life across the lifespan. The current narrative review brings out several overarching themes in patients with FS. Sections on attachment, marriage, social networking, and stigma highlight the central roles of supportive and affirmative relationships across the lifespan. The section on education underscores the importance of keeping children and youth with FS connected within their school environments, as well as managing any barriers - learning difficulties, school response to FS events, stigma, etc.-that can diminish this connection. Finally, the sections on employment and driving highlight the value of being an active participant in one's society. In summary, FS impacts patients across most social aspects of life domains regardless of age - factors that are important when developing biopsychosocial formulations. This review concludes that the multidisciplinary management of FS requires careful assessment of social aspects of life in patients which can then be targeted for treatment, to improve their quality of life, facilitating recovery, and reducing the risk of relapse.

DDESVSFS: A simple, rapid and comprehensive screening tool for the Differential Diagnosis of Epileptic Seizures VS Functional Seizures

OBJECTIVE

Functional seizures (FS) are often misclassified as epileptic seizures (ES). This study aimed to create an easy to use but comprehensive screening tool to guide further evaluation of patients presenting with this diagnostic dilemma.

MATERIALS AND METHODS

Demographic, clinical and diagnostic data were collected on patients admitted for video-EEG monitoring for clarification of their diagnosis. Upon discharge, patients were classified as having ES vs FS. Using the collected characteristics and video-EEG diagnosis, we created a multivariable logistic regression model to identify predictors of ES. Then, we trained an integer-coefficient model with the most frequently selected predictors, creating a pointing system coined DDESVSFS, with scores ranging from -17 to +8 points.

RESULTS

43 patients with FS and 165 patients with ES were recruited. In the final integer-coefficient model, 8 predictors were identified as significant in differentiating ES from FS: normal electroencephalogram (-3 points), predisposing factors for FS (-3 points), increased number of comorbidities (-3 points), semiology suggestive of FS (-4 points), increased seizure frequency (-4 points), longer disease duration (+3 points), antiepileptic polypharmacy (+2 points) and compliance with antiepileptic drugs (+3 points). Cumulative scores of ≤ -9 points carried <5% predictive value for ES, while cumulative scores of ≥ -1 points carried >95% predictive value. The model performed well (AUC: 0.923, sensitivity: 0.945, specificity: 0.698).

CONCLUSIONS

We propose DDESVSFS as a simple, rapid and comprehensive prediction score for the Differential Diagnosis of Epileptic Seizures VS Functional Seizures. Large prospective studies are needed to evaluate its utility in clinical practice.