Awareness of cognitive deficits in older adults with epilepsy and mild cognitive impairment

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.

Self-awareness and underestimation of cognitive abilities in patients with adult temporal lobe epilepsy after surgical treatment

INTRODUCTION

Self-awareness of cognitive, emotional, functional, and social performance is critical for compliance with treatment. However, few studies have investigated self-awareness and the associated effects on other cognitive variables in patients with temporal lobe epilepsy (TLE) after surgical treatment.

AIM

This study was designed to investigate the prevalence of impaired self-awareness (ISA) in patients with TLE who have undergone surgical treatment. Associated correlations with clinical variables (frequency of seizures before surgery, time elapsed since the epilepsy diagnosis, depression, and anxiety) and verbal and visual episodic memory function and differences between patients with right and left TLE were also investigated.

METHOD

Twenty-three adults with TLE after surgical treatment were assessed with the Patient Competency Rating Scale (PCRS-R-BR), the Rey Auditory Verbal Learning Task (RAVLT), and the Modified Ruche Visuospatial Learning Test (RUCHE-M). Patients were considered to have memory dysfunction if delayed recall as assessed with the RUCHE-M or RAVLT was at or below the 25th percentile. Patients were considered to have ISA if PCRS-R-BR discrepancy scores were at or above the 75th percentile. Underestimated cognitive ability (UCA) was defined as a PCRS-R-BR discrepancy percentile score ≤25. Results were analyzed using frequency, Spearman correlation, regression analyses, and the Mann-Whitney test.

RESULTS

Frequency analysis of the total sample indicated ISA in 39.13% of patients (n = 9), UCA in 39.13% of patients (n = 9), and impaired verbal and/or visual memory performance in 69.56% of patients (n = 16). Moderate positive correlations were found between the frequency of seizures before surgical treatment and relatives' reports, as well as between the duration of time that had elapsed since the epilepsy diagnosis and patient reports. Negative and moderate correlations were found between the frequency of seizures and the discrepancy score, as well as between depression and patient reports. No differences in PCRS-R-BR were found between patients with right vs. left TLE. No clinical variables significantly predicted self-report or self-awareness.

CONCLUSION

Patients with TLE exhibit various patterns of ISA and negative effects on cognitive function after surgical treatment. Emotional factors and relatives' reports must be considered when assessing these patients.

Epilepsy and aging

The intersection of epilepsy and aging has broad, significant implications. Substantial increases in seizures occur both in the elderly population, who are at a higher risk of developing new-onset epilepsy, and in those with chronic epilepsy who become aged. There are notable gaps in our understanding of aging and epilepsy at the basic and practical levels, which have important consequences. We are in the early stages of understanding the complex relationships between epilepsy and other age-related brain diseases such as stroke, dementia, traumatic brain injury (TBI), and cancer. Furthermore, the clinician must recognize that the presentation and treatment of epilepsy in the elderly are different from those of younger populations. Given the developing awareness of the problem and the capabilities of contemporary, multidisciplinary approaches to advance understanding about the biology of aging and epilepsy, it is reasonable to expect that we will unravel some of the intricacies of epilepsy in the elderly; it is also reasonable to expect that these gains will lead to further improvements in our understanding and treatment of epilepsy for all age groups.