Multidimensional psychopathological profile differences between patients with psychogenic nonepileptic seizures and epileptic seizure disorders.

OBJECTIVE: Early differential diagnosis of psychogenic nonepileptic seizures (PNES) and epileptic seizures (ES) remains difficult. Self-reported psychopathology is often elevated in patients with PNES, although relatively few studies have examined multiple measures of psychopathology simultaneously. This study aimed to identify differences in multidimensional psychopathology profiles between PNES and ES patient groups. METHOD: This was a retrospective case-control study involving patients admitted for video-EEG monitoring (VEM) over a two-year period. Clinicodemographic variables and psychometric measures of depression, anxiety, dissociation, childhood trauma, maladaptive personality traits, and cognition were recorded. Diagnosis of PNES or ES was determined by multidisciplinary assessment and consensus opinion. General linear mixed models (GLMMs) were used to investigate profile differences between diagnostic groups across psychometric measures. A general psychopathology factor was then computed using principal components analysis (PCA) and differences between groups in this 'p' factor were investigated. RESULTS: 261 patients (77 % with ES and 23 % with PNES) were included in the study. The PNES group endorsed greater symptomatology with GLMM demonstrating a significant main effect of group (η2p = 0.05) and group by measure interaction (η2p = 0.03). Simple effects analysis indicated that the PNES group had particularly elevated scores for childhood trauma (ß = 0.78), dissociation (ß = 0.70), and depression (ß = 0.60). There was a high correlation between psychopathology measures, with a single p factor generated to explain 60 % variance in the psychometric scores. The p factor was elevated in the PNES group (ß = 0.61). ROC curve analysis indicated that these psychometric measures had limited usefulness when considered individually (AUC range = 0.63-0.69). CONCLUSION: Multidimensional psychopathological profile differences exist between patients with PNES and ES. Patients with PNES report more psychopathology overall, with particular elevations in childhood trauma, dissociation, and depression. Although not suitable to be used as a standalone screening tool to differentiate PNES and ES, understanding of these profiles at a construct level might help triage patients and guide further psychiatric examination and enquiry.

Psychiatric and cognitive characteristics of older adults admitted to a Video-EEG monitoring (VEM) unit.

OBJECTIVE: To compare the clinical, psychiatric, and cognitive characteristics of older with younger patients presenting to a video-EEG monitoring (VEM) unit. METHOD: This was a retrospective case-control study involving patients admitted for VEM over a two-year period (from April 2018 to April 2020) at two comprehensive epilepsy units. Patients were categorized into an older (≥60 years) and a younger (<60 years) group. Younger patients were individually matched to older adults to form a matched younger group. Diagnosis was determined by a consensus opinion of epileptologists, neurologists, and neuropsychiatrists. The main diagnostic categories were epilepsy, psychogenic nonepileptic seizures (PNES), and 'other' diagnosis (non-diagnostic and other nonepileptic diagnoses). Clinical psychiatric diagnoses were obtained from neuropsychiatric reports. Objective cognitive function was measured with the Neuropsychiatry Unit Cognitive Assessment Tool (NUCOG). Subjective cognitive function was assessed using the Quality of Life in Epilepsy Inventory-89 (QOLIE-89) cognitive subscales. RESULTS: Five-hundred and thirty three patients (71 older, 462 younger) aged 16-91 years were admitted to the VEM unit during the study period. There was a diagnosis of focal epilepsy in 55% of the older group and 48% of the younger group, generalized epilepsy in 3% of the older group and 10% of the younger group, and 'other' in 32% of the older group and 19% of the younger group. Ten percent (2 males and 5 females) of the older group were diagnosed with PNES compared to 22% of the younger group (p = 0.016). A depressive disorder was diagnosed in 34% of the older group and 24% of the younger group (p = 0.20). An anxiety disorder was diagnosed in 15% of the older group and 25% of the younger group (p = 0.15). Mild neurocognitive disorder was more common in the older group (34%) compared to the matched younger group (34% vs 3%, p < 0.001). The older group had lower mean NUCOG scores compared to the matched younger group (79.49 vs 87.73, p = <0.001). There was no evidence for a relationship between mean NUCOG score and overall subjective cognitive difficulties for the older group (r = 0.03, p = 0.83). Among older adults, those diagnosed with PNES had more experiences of childhood trauma. Measures of dissociation, depression, or general anxiety did not differ between PNES and non-PNES diagnoses in the older group. CONCLUSION: Psychiatric comorbidities are common among older adults admitted for VEM. The psychological impact of epilepsy and risk factors for PNES seen in younger patients are also applicable in the older group. The older group demonstrated more cognitive impairments than the younger group, although these were usually unrecognized by individuals. Older adults admitted to VEM will benefit from psychiatric and neuropsychological input to ensure a comprehensive care approach to evaluation and management.