Frequency and predictors of psychological distress after a diagnosis of epilepsy: A community-based study

Depression and anxiety among patients with epilepsy: A cross-sectional study from Riyadh, Saudi Arabia

Background

It is well established that epileptic disorders are associated with a wide range of psychosocial issues that overburden the affected individuals and limit their lifestyle. This study aimed to determine the commonalities between depression and anxiety symptoms among patients with epilepsy (PWE). In addition, we assessed whether depression and anxiety rates varied depending on factors related to the disease.

Materials and Methods

A cross-sectional study was conducted between October 2021 and March 2022 among all PWE at Prince Mohammed bin Abdulaziz Hospital, and 147 patients who responded to the questionnaires were included for analysis (65.6% response rate). Depression was measured using the Patient Health Questionnaire depression scale (PHQ-9), while anxiety levels were measured using the Generalized Anxiety Disorder scale (GAD-7). Demographic variables such as sex, age, marital status, and factors related to epilepsy were also recorded.

Results

The results showed that 39.5% and 27.9% of participants had major depressive disorder (MDD) and generalized anxiety disorder (GAD), respectively. The presence of factors that increased susceptibility to seizures was associated with a greater expression of depression (P = 0.035) and anxiety (P = 0.002) symptoms. The presence of symptoms/signs that precede seizures was associated with a higher risk of moderate and severe depression (P = 0.001) and moderate and severe anxiety (P < 0.001). Irregular use of medications was associated with a higher risk of moderate and severe depression (P = 0.037); however, lamotrigine was associated with lower rates of depression among the participants (P = 0.023).

Conclusion

This study found that PWE had a higher prevalence of MDD and GAD than the general population. However, this accepted paradigm has yet to reflect a meaningful change in constructing condition-specific recommendations for PWE. Our study revealed that the presence of subjectively recognized signs of an impending ictal episode was significantly associated with a higher risk of moderate and severe depression and anxiety. Furthermore, factors that increase the susceptibility to seizures were associated with a higher risk of depression and anxiety. Irregular medication use was associated with a higher risk of moderate and severe depression. However, lamotrigine was associated with lower rates of depression among participants.

Anxiety and depressive symptoms in adults with new-onset seizures: A scoping review

OBJECTIVE

Anxiety and depression are common comorbidities in people living with epilepsy. Emerging research suggests that these conditions may even predate epilepsy onset. This review aimed to summarize the prevalence of clinically significant anxiety and depressive symptoms in people with first seizures and newly diagnosed epilepsy, as well as clinicodemographic factors associated with these symptoms.

METHODS

A scoping literature review was performed. OVID Medline and Embase were searched from January 1, 2000, through May 1, 2022. Articles of interest were selected based on predetermined inclusion and exclusion criteria.

RESULTS

From 1836 studies identified on screening, 16 met eligibility criteria and were included in the review. Clinically significant anxiety and depressive symptoms, as determined by validated cutoff scores for anxiety and depression screening instruments, were common in people with first seizures (range 13-28%) and newly diagnosed epilepsy (range 11-45%). They were associated with a range of clinicodemographic factors including past psychiatric history and trauma, personality traits, self-esteem, and stigma profiles.

SIGNIFICANCE

There is substantial evidence that clinically significant anxiety and depressive symptoms are often present at the time and shortly following the first seizure or epilepsy diagnosis. Future research is needed to better understand the complex interactions between these common psychiatric comorbidities, new-onset seizure disorders, and certain clinicodemographic characteristics. This knowledge may inform targeted and holistic treatment approaches.

Electroencephalogram utilization and psychiatric comorbidities among children and adolescents with epilepsy in rural Southwestern Uganda

OBJECTIVE

This study aimed at describing routine electroencephalogram (EEG) findings among children and adolescents with a clinical diagnosis of epilepsy and determines how interictal EEG abnormalities vary with the psychiatric comorbidities.

METHODS

We conducted a cross-sectional study among children and adolescents with epilepsy aged 5-18 years receiving care from a regional referral hospital in Southwestern Uganda. Psychiatric comorbidities were assessed using an adapted parent version of Child and Adolescent Symptom Inventory-5. Thirty-minute EEG samples were taken from routine EEG recordings that were locally performed and remotely interpreted for all participants.

RESULTS

Of the 140 participants, 71 (50.7%) had normal EEG findings and 51 (36.4%) had epileptiform abnormalities while 18 (12.9%) had non-epileptiform. Of those who had epileptiform abnormalities on EEG, 23 (45.1%) were focal, 26 (51.0%) were generalized, and 2 (3.9%) were focal with bilateral spread. There was no significant association between the different psychiatric comorbidities and the interictal EEG abnormalities.

CONCLUSIONS

Among children and adolescents with a clinical diagnosis of epilepsy in Southwestern Uganda, only 36% showed epileptiform abnormalities on their EEG recordings. There was no association between the interictal EEG abnormalities and psychiatric comorbidities.

Predictors of Comorbid Anxiety Symptoms After a New Diagnosis of Epilepsy: A Prospective 12-Month Follow-Up Observation

Objectives: We aimed to identify the factors contributing to comorbid anxiety symptoms over a 12-month follow-up period in Chinese adults with newly diagnosed epilepsy. Methods: Adult patients with newly diagnosed epilepsy (PWNDE) were recruited from First Hospital, Jilin University. Anxiety symptoms were assessed using the Generalized Anxiety Disorder-7 questionnaire (GAD-7; Chinese version) at 12 months. Multivariate stepwise logistic regression analysis was employed to identify the predictors for anxiety symptoms at 12 months. Results: A total of 157 PWNDE completed the study and were included in the final analysis. The percentage of participants with anxiety symptoms significantly decreased from 31.2% at baseline to 23.6% at 12 months (p = 0.027). Multivariate stepwise logistic regression analysis indicated that depressive symptoms at baseline [odds ratio (OR) 3.877 (95% confidence interval (CI) 1.683-8.933); P = 0.001] and the number of antiseizure medications (ASMs) during the follow-up period [OR 2.814 (95% CI 1.365-5.803); P = 0.005] were independent factors contributing to comorbid anxiety symptoms at 12 months. Conclusion: Depressive symptoms at baseline and the number of ASMs during the follow-up period were significant predictors of comorbid anxiety symptoms 12 months after a diagnosis of epilepsy.

Anxiety and Depression in Newly Diagnosed Epilepsy: A Matter of Psychological History?

Purpose: Anxiety and depression are highly prevalent in patients with epilepsy (PWE), and these symptoms can even precede the onset of the pathology. We aimed to define the prevalence of anxiety and depressive symptoms at the time of the epilepsy diagnosis and the factors related to their presence in newly diagnosed adult patients.

Methods: One hundred and twelve newly diagnosed patients were assessed, usually in the week after diagnosis. Patients were untreated at this time. We used the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E, cut-off ≥15) and the Generalized Anxiety Disorder 7-Item scale (GAD-7, cut-off >7). A semi-structured interview was conducted to collect sociodemographic and epilepsy data and patients' psychiatric history. We first compared patients with and without anxiety symptoms, then patients with and without depressive symptoms.

Results: According to the GAD-7 scale, the prevalence of anxiety symptoms at the time of diagnosis was 35%. Patients with anxiety symptoms had significantly more psychiatric history (26%, p = 0.001) and more history of psychological trauma (51%, p = 0.003) than patients with no anxiety symptoms. According to the NDDI-E scores, the prevalence of depressive symptoms at the time of the diagnosis was 11%. Patients with depressive symptoms had significantly more psychiatric history (43%, p < 0.001) and more history of psychological trauma (65%, p = 0.007) than patients with no depressive symptoms. No difference between groups was found for other sociodemographic variables (age and gender), epilepsy characteristics (number of seizures prior to diagnosis, time from first seizure to diagnosis, type of epilepsy, and localization in focal epilepsy), or neurological comorbidities.

Conclusions: Anxiety symptoms are common whereas depressive symptoms are less prevalent at the time of diagnosis. It appears essential to be aware of anxiety and depression in newly diagnosed epileptic patients. They should be screened and routinely monitored, especially those patients with a history of psychological trauma and/or psychiatric disorders. Longitudinal follow-up is required to identify whether these factors and anxiety and depression themselves have an impact on the future course of care.

Adherence to levetiracetam for management of epilepsy: Assessment with electronic monitors

INTRODUCTION

Anti-seizure medications are used to manage epilepsy and require long-term adherence to maintain therapeutic drug levels. We assessed adherence to levetiracetam and the use of a digital intervention to improve adherence in patients with epilepsy.

METHODS

30 participants with epilepsy were randomized 1:1 either to a digital email adherence intervention or control group. All patients were provided levetiracetam equipped with electronic monitoring caps to assess patient adherence to medication. Patients were followed for 6 months, with return visits at 1 month, 3 months, and 6 months.

RESULTS

Subjects randomized to the control arm (n = 15) took 66% of the prescribed doses compared to the intervention group, who took 65% of prescribed doses (n = 15). Nine participants did not complete the study. Of the twenty-one participants that completed the study, the overall rate of adherence was 72% of prescribed doses taken. Two subjects in the control group and three subjects in the intervention group were adherent every month of the study-taking at least 80% of prescribed doses. Those randomized to the control group took the correct number of doses 44% of days in the study, and those in the intervention group took the correct number of doses 37% of days.

DISCUSSION

Poor adherence to levetiracetam is common. An internet-based email survey intervention did not improve adherence to levetiracetam in epilepsy patients. Further advances in adherence are needed to help patients receive the maximum benefit of their medical treatments.

Factors contributing to comorbid depressive symptoms in adult people with newly diagnosed epilepsy: A 12-month longitudinal study

OBJECTIVES

We aimed to investigate the point prevalence of comorbid depressive symptoms from the time of newly diagnosed epilepsy to 12 months and to identify the factors contributing to comorbid depressive symptoms over a 12-month period in patients with newly diagnosed epilepsy (PWNDE).

METHODS

A consecutive cohort of PWNDE from the First Hospital of Jilin University was recruited. Depressive symptoms were evaluated using the Chinese version of the Neurological Disorders Depression Inventory for Epilepsy scale (C-NDDI-E). Multivariate stepwise logistic regression models were used to confirm the factors contributing to depressive symptoms in patients.

RESULTS

The point prevalence of depressive symptoms among PWNDE slightly decreased from 24.8% at baseline to 22.3% at 12 months. A MoCA score < 26 was identified as an independent risk factor contributing to depressive symptoms at baseline (OR = 2.419, 95% CI: 1.093-5.350, P = 0.029) and at 12 months (OR = 3.007, 95% CI: 1.223-7.390, P = 0.016). The adjusted OR for depressive symptoms in female patients was 0.365 (95% CI: 0.171-0.779, P = 0.009) compared with male patients. Depressive symptoms at baseline (OR = 4.539, 95% CI: 1.973-10.445, P < 0.001) were identified as significant predictors of depressive symptoms at 12 months.

CONCLUSION

There was a slight decrease in the prevalence of comorbid depressive symptoms in PWNDE over the 12-month period after epilepsy diagnosis. Cognitive impairment and baseline depressive symptoms were independent risk factors for comorbid depressive symptoms at 12 months.

[Cognitive impairment and social functioning in organic personality disorder due to epilepsy]

OBJECTIVE

To develop criteria for the diagnosis of cognitive impairment (CI) and to determine the degree of social functioning in organic personality disorder due to epilepsy.

MATERIAL AND METHODS

One hundred and twenty-six patients with epilepsy, aged 18 to 65 years, with disease duration of 11 to 20 years, were examined. The main research method is clinical-psychopathological. The Mini-mental state examination (MMSE) was administered to assess the severity of CI. The Global Assessment of Functioning (GAF) scale was used to assess social functioning.

RESULTS AND CONCLUSION

The structure of organic personality disorder due to epilepsy is determined by a combination of CI and personality changes with a predominance of explosive (short temper, irritability, brutality, explosiveness) or defensive (passivity, suggestibility, vulnerability, suspiciousness, sensitivity, subordination) traits. CI includes impaired thinking, attention, and memory and is manifested by inertia, stiffness, toughness, rigidity, slowing down the pace of thought processes, as well as difficulty in concentrating, impaired direct and indirect memory. Three groups of patients with mild, moderate and severe CI are isolated. In the group with mild CI, thorough thinking with a slow pace and a decrease in the ability to learn new things, which was com. When assessing impairment of social functioning fa moderate and severe of maladaptation with impairments in all areas of activity is revealed in people with explosive personality characteristics and a mild degree - in people with defensive features. It has been shown that the analysis of cognitive impairment is critical in the diagnosis of organic personality disorder due to epilepsy.

Gender differences in seizure recurrence and antiepileptic drug polytherapy predicting health-related quality of life of persons 1 year after diagnosis of epilepsy

PURPOSE

The aim of this study was to determine whether gender influences the prediction of health-related quality of life (HRQoL) in persons with newly diagnosed epilepsy (NDE).

METHODS

This was a 1-year longitudinal study. Persons with NDE were assessed with the Quality of Life in Epilepsy Inventory-31 (QOLIE-31), the Hospital Anxiety Depression Scale (HADS), the Stigma Scale, and the Rosenberg Self-esteem Scale. An analysis of covariance (ANCOVA) with interaction terms was used.

RESULTS

Among 134 adults with NDE, there were no gender differences in the scores of the QOLIE-31 and its subscales. A multivariate linear regression analysis showed that the HADS-anxiety scores at diagnosis (p = 0.005) and seizure recurrence after diagnosis (p = 0.050) negatively predicted QOLIE-31 scores in persons with NDE. There were significant effects of the gender interaction with seizure recurrence (F = 8.745, p = 0.004, partial eta² = 0.066) and antiepileptic drug (AED) polytherapy (F = 6.320, p = 0.013, partial eta² = 0.049) in the adjusted model. Specifically, seizure recurrence negatively predicted the QOLIE-31 scores only in men. By contrast, AED polytherapy negatively predicted the QOLIE-31 scores only in women.

CONCLUSIONS

There are gender differences in certain epilepsy-related factors predicting HRQoL at 1 year in persons with NDE.

Would people living with epilepsy benefit from palliative care?

Palliative care (PC) is an approach to the care of persons living with serious illness and their families that focuses on improving quality of life and reducing suffering by addressing complex medical symptoms, psychosocial needs, spiritual well-being, and advance care planning. While PC has traditionally been associated with hospice care for persons with cancer, there is now recognition that PC is relevant to many noncancer diagnoses, including neurologic illness, and at multiple points along the illness journey, not just end of life. Despite the recent growth of the field of neuropalliative care there has been scant attention paid to the relevance of PC principles in epilepsy or the potential for PC approaches to improve outcomes for persons living with epilepsy and their families. We believe this has been a significant oversight and that PC may provide a useful framework for addressing the many sources of suffering facing persons living with epilepsy, for engaging patients and families in challenging conversations, and to focus efforts to improve models of care for this population. In this manuscript we review areas of significant unmet needs where a PC approach may improve patient and family-centered outcomes, including complex symptom management, goals of care, advance care planning, psychosocial support for patient and family and spiritual well-being. When relevant we highlight areas where epilepsy patients may have unique PC needs compared to other patient populations and conclude with suggestions for future research, clinical, and educational efforts.

Course and impact of sleep disturbance in newly diagnosed epilepsy: A prospective registry study

OBJECTIVE

To determine the course of sleep distrurbance (insomnia symptoms and short sleep duration) after a diagnosis of epilepsy and their associations with seizure control, mood, disability, and quality of life.

PATIENTS AND METHODS

One hundred and sixty-nine adults were drawn from the Sydney Epilepsy Incidence Study to Measure Illness Consequences (SEISMIC), a prospective, multicenter, community-wide study in Sydney, Australia. Socio-demographic, psychosocial, clinical characteristics, and information on sleep disturbance were obtained early (median 48 [IQR15-113] days) after a diagnosis of epilepsy, and at 12 months. Logistic regression models were used to determine associations between patterns of sleep disturbance with outcomes at 12 months.

RESULTS

Insomnia symptoms and/or short sleep duration were present in 18-23% of participants at both time points, with over half (54-61%) showing a chronic pattern. There was no association of sleep disturbance pattern with recurrent seizures, medication use or disability. Chronic insomnia symptoms and short sleep duration were strongly associated with worse mental health (aOR 3.76, 95% CI 1.28-11.06; and aOR 5.41, 95% CI 1.86-15.79) and poorer quality of life at 12 months (aOR 3.02, 95% CI 1.03-8.84; and aOR 3.11, 95% CI 1.10-8.82), after adjusting for clinical features of epilepsy and comorbidity. Those whose sleep disturbance remitted had no adverse outcomes.

CONCLUSIONS

Insomnia symptoms and short sleep duration are less common in people with recently-diagnosed than chronic epilepsy. The temporal association with poor psycholosocial outcomes supports specific interventions addressing sleep disturbance.

Validation of the integrative model of adjustment to chronic conditions: Applicability to adult-onset epilepsy

Adapting to life with adult-onset epilepsy is a challenge and there is a need for better interventions to support people, who have difficulty with psychosocial adjustment to the condition. The integrative model of adjustment to chronic conditions was developed for type 2 diabetes. This study aimed to demonstrate the applicability of the model to adult-onset epilepsy and thus make an original contribution to the development of relevant interventions. Qualitative data from a previous phenomenological study on the experience of adult-onset epilepsy were mapped onto the integrative model of adjustment to chronic conditions using framework analysis. Ten of the original 39 datasets were selected. All 10 datasets were from females diagnosed with epilepsy within 5 years before participation in the original study. The results demonstrated applicability of the integrative model of adjustment to chronic conditions after minor revisions to the model. These findings support further development of the integrative model of adjustment to chronic conditions for use as a clinical intervention for people with adult-onset epilepsy.

Disability patterns over the first year after a diagnosis of epilepsy

OBJECTIVE

To determine the patterns and predictors of disability over the first 12 months after a diagnosis of epilepsy.

PATIENTS AND METHODS

The Sydney Epilepsy Incidence Study to Measure Illness Consequences (SEISMIC) was a prospective, multicenter, community-based study of people with newly diagnosed epilepsy in Sydney, Australia. Disability was assessed using the World Health Organization's, Disability Assessment Schedule (WHODAS) 2.0 12-item version, at baseline (i.e. within 28 days of diagnosis) and 12 months post-diagnosis. Demographic, socioeconomic, clinical and epilepsy-related data, obtained through structured interviews, were entered into multivariable linear regression and shift analysis to determine predictors of greater disability.

RESULTS

Of 259 adults (≥18 years), 190 (73%) had complete WHODAS at baseline (mean ± SD scores 4 ± 6) and follow-up (4 ± 8). After adjustment for age, sex and co-morbidity, greater overall disability at 12 months was associated with lower education (P = 0.05), economic hardship (P = 0.004), multiple antiepileptic medications (P = 0.02) and greater disability (P < 0.001) at the time of diagnosis; these variables explained 38.3% of the variance. Among the 12 WHODAS items, "being emotionally affected by health problems" was the most frequent disability problem identified at both time points (all P < 0.0001). The proportion of participants without problems in that domain improved over 12 months (from 24% to 50%, P < 0.0001), whereas the other 11 items remained relatively stable. Independent baseline predictors of a worse emotional outcome at 12 months were severe/extreme emotional distress (odds ratio [OR] 4.52, 95% confidence intervals [CI] 1.67-12.24), economic hardship (OR 2.30, 95% CI 1.24-4.25) and perceived stigma (OR 2.02, 95% CI 1.03-3.93).

CONCLUSION

Most people report problems with emotional health after a diagnosis of epilepsy but many recover over the next 12 months. Services addressing the social and psychological impact of diagnosis may be needed to improve outcome.

Factors contributing to anxiety and depressive symptoms in adults with new-onset epilepsy

PURPOSE

We investigated factors contributing to anxiety and depressive symptoms over a 1-year period in Korean adults with new-onset epilepsy.

METHODS

This longitudinal multicenter study included adults diagnosed with epilepsy within 12 months of a first seizure. Using stepwise regression analyses, we determined whether Hospital Anxiety Depression Scale (HADS) scores could be predicted by demographic, clinical, and psychosocial variables at baseline and at 12 months.

RESULTS

Of 141 patients included at baseline, 63 (44.7%) and 60 (42.6%) had Hospital Anxiety Depression Scale-Anxiety (HADS-A) and Hospital Anxiety Depression Scale-Depression (HADS-D) scores >7, respectively. Of 98 patients who completed the 12-month study, the corresponding figures decreased to 32.7% and 36.7%, respectively. Higher HADS-A scores both at baseline and 12 months were predicted by higher neuroticism, stigma, and lower self-esteem (p < 0.05). Higher HADS-D scores at baseline were predicted by higher neuroticism, lower self-esteem, marital status, and lower extroversion (p < 0.05) whereas those at 12 months were predicted by self-esteem, seizure recurrence, and age at epilepsy onset (p < 0.05). Neuroticism or self-esteem was the strongest predictor of psychological distress.

CONCLUSIONS

Anxiety and depressive symptoms are common at the time of diagnosis in Korean adults with new-onset epilepsy. While these decrease over time, they remained high 12 months after epilepsy diagnosis. Psychological factors, particularly neuroticism and self-esteem, may be the most important risk factors. Epilepsy variables, such as seizure recurrence and age at onset, may also be important factors for depressed mood at 12 months.

Incidence, Risk Factors and Consequences of Epilepsy-Related Injuries and Accidents: A Retrospective, Single Center Study

Introduction: This study was designed to evaluate risk factors and incidence of epilepsy-related injuries and accidents (ERIA) at an outpatient clinic of a German epilepsy center providing healthcare to a mixed urban and rural population of over one million inhabitants. Methods: Data acquisition was performed between 10/2013 and 09/2014 using a validated patient questionnaire on socioeconomic status, course of epilepsy, quality of life (QoL), depression, injuries and accidents associated with seizures or inadequate periictal patterns of behavior concerning a period of 3 months. Univariate analysis, multiple testing and regression analysis were performed to identify possible variables associated with ERIA. Results: A total of 292 patients (mean age 40.8 years, range 18-86; 55% female) were enrolled and analyzed. Focal epilepsy was diagnosed in 75% of the patients. The majority was on an antiepileptic drug (AEDs) polytherapy (mean number of AEDs: 1.65). Overall, 41 patients (14.0%) suffered from epilepsy-related injuries and accidents in a 3-month period. Besides lacerations (n = 18, 6.2%), abrasions and bruises (n = 9, 3.1%), fractures (n = 6, 2.2%) and burns (n = 3, 1.0%), 17 mild injuries (5.8%) were reported. In 20 (6.8% of the total cohort) cases, urgent medical treatment with hospitalization was necessary. Epilepsy-related injuries and accidents were related to active epilepsy, occurrence of generalized tonic-clonic seizures (GTCS) and drug-refractory course as well as reported ictal falls, ictal loss of consciousness and abnormal peri-ictal behavior in the medical history. In addition, patients with ERIA had significantly higher depression rates and lower QoL. Conclusion: ERIA and their consequences should be given more attention and standardized assessment for ERIA should be performed in every outpatient visit.