Association of subjective anxiety, depression, and sleep disturbance with quality-of-life ratings in adults with epilepsy

Purpose :  To determine the relative contributions of subjective anxiety, depression, sleep disturbance, and seizure-related variables to quality-of-life scores in adults with epilepsy, and the interrelationships among these factors.
Methods :  Consecutive adult patients with epilepsy attending neurology outpatient clinics were recruited. Patients completed the following scales: Hospital Anxiety and Depression Scale (HADS), Hamilton Anxiety Rating Scale, Medical Outcomes Study (MOS) Sleep Scale, Epworth Sleepiness Scale, and Quality of Life in Epilepsy Inventory-31 (QOLIE-31). Univariate and multivariate linear regression models were used to identify variables associated with QOLIE-31 overall score. Path analysis model was constructed to test for interrelations between the variables.
Results :  Two hundred forty-seven patients completed the questionnaires. By multivariate analysis, in order of degree of contribution, HADS anxiety subscale score, MOS Sleep Scale Sleep Problems Index score, HADS depression subscale score, number of current antiepileptic drugs used, and seizure freedom in the past 4 weeks, significantly correlated with QOLIE-31 overall score, accounting for 65.2% of the variance. Complex interrelationships were present between these factors. A general linear model to predict QOLIE-31 overall score in the presence of these factors was constructed.
Conclusion :  Subjective anxiety, depression, and sleep disturbance exerted greater effect than short-term seizure control on quality of life scores of patients with epilepsy. These factors should be considered simultaneously when evaluating effects of treatment on quality of life.     

Clinical and demographic characteristics predicting QOL in patients with epilepsy in the Czech Republic: How this can influence practice

ObjectiveThe aim of our study was to assess the influence of different clinical and demographic variables on quality of life (QOL) in patients with epilepsy in the Czech Republic.MethodsOutpatients with epilepsy (n = 268) who visited two neurology departments between 2005 and 2006 were included. Clinical and demographic characteristics were retrieved from medical records. Quality of life was measured by the Quality of Life in Epilepsy Inventory (QOLIE-31). Using multiple regression analysis, we determined which variables were associated with QOLIE-31 overall and subscale scores.ResultsSeizure frequency, employability and psychiatric comorbidity were found to be risk factors for QOLIE-31 overall score, accounting for 33% of the variance in the regression model. Seizure frequency was strong predictor for all seven subscales. Employability explained 10% of the variance in the QOLIE overall score and was the strongest predictor for Overall QOL, Emotional Well-being, Energy/Fatigue and Cognitive Function. Gender, type of seizures, age at onset of seizures, and systemic comorbidity had no significant association in this study.ConclusionsThe present study confirms that besides seizure frequency, employability and comorbid psychiatric conditions are strong predictors of QOL in patients with epilepsy. Interventions focusing on psychosocial problems and identification of factors that hamper employment in patients with epilepsy are necessary for improving QOL in these patients.     

What is the role of depressive symptoms among other predictors of quality of life in people with well-controlled epilepsy on monotherapy?

The quality of life (QOL) of individuals with well-controlled epilepsy (WCE) is often not considered. We therefore investigated predictors determining QOL in patients who had been seizure free at least 1 year on stable antiepileptic drug (AED) monotherapy. They were asked to complete self-report health questionnaires, including the Beck Depression Inventory (BDI), Adverse Event Profile (AEP), and Quality of Life in Epilepsy Inventory-31 (QOLIE-31). We looked for predictors of QOLIE-31 scores among the various demographic, socioeconomic, and clinical factors and BDI, and AEP scores. Depression symptoms were manifested by 18.7% of patients. People with depression symptoms were more likely to report adverse events than those without depression symptoms. The strongest predictor of QOL was BDI score, followed by AEP total score, years of education, and income. BDI score had 3.37 times the effect of AEP total score. In conclusion, QOL of patients with WCE is determined mainly by depressive symptoms.     

Factors associated with impaired quality of life in younger and older adults with epilepsy

The purpose of this study is to weigh psychological state, patients' demographics, seizure-related factors, and medical comorbidity in older adults with epilepsy against the same parameters in younger adults in an attempt to identify best quality of life (QoL) predictors. The Quality of Life in Epilepsy Inventory for Adults (QOLIE-31) and the Beck Depression Inventory-II (BDI-II) were completed by 146 patients with localization-related epilepsy. There was no statistical difference in the QOLIE-31 total score between younger and older adults. Best QoL predictors were BDI-II and seizure frequency, with BDI-II providing more than 3 times the impact of seizure frequency. BDI-II also substantively predicted most QOLIE-31 domains. Additionally, epilepsy duration positively correlated with overall QoL only among older adults. In summary, in younger as well as older adult epilepsy patients, depressive symptoms emerge as the strongest predictor of QoL. However, older adults appear to adapt better to their chronic health problem.     

The relationship of depression to antiepileptic drug adherence and quality of life in epilepsy

We sought to examine the impact of depression upon antiepileptic drug (AED) adherence in patients with epilepsy. We administered the Center for Epidemiologic Studies Depression Scale (CES-D), Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), Seizure Severity Questionnaire (SSQ), and Quality of Life in Epilepsy-10 (QOLIE-10) and measured AED adherence by utilizing the medication possession ratio (MPR) in adult patients with epilepsy identified through a pharmacy claims database. From a sampling frame of over 10,000 patients identified in claims, 2750 were randomly selected and contacted directly by mail to participate in the cross-sectional survey. A total of 465 eligible patients completed a survey. Survey data were combined with administrative claims data for analysis. We conducted a path analysis to assess the relationships between depression, adherence, seizure severity, and quality of life (QOL). Patients with depression scored significantly worse on measures of seizure severity (p = .003), QOL (p < .001), and adherence (p = .001). On path analysis, depression and QOL and seizure severity and QOL were related, but only the NDDI-E scores had a significant relationship with medication adherence (p = .001). Depression as measured by the NDDI-E was correlated with an increased risk of AED nonadherence. Depression or seizure severity adversely impacted QOL. These results demonstrate yet another important reason to screen for depression in epilepsy.     

Determinants of quality of life in people with epilepsy and their gender differences

Improving the patient's quality of life (QOL) is the most important goal of epilepsy management. We performed this study to determine the factors associated with QOL in people with epilepsy and to assess whether there are gender differences in these determinants. Patients were interviewed using the Quality of Life in Epilepsy Inventory-31(QOLIE-31), the Adverse Event Profile (AEP), the Self-Rating Anxiety Scale (SAS), and the Hamilton Depression Rating Scale (HAMD). Two hundred forty-seven patients (152 men, 95 women) were included in the analysis. Among all patients, regressive analyses showed that AEP score was the strongest predictor of the QOLIE-31 overall score, accounting for 10.4% of the variance. The next strongest predictors were the number of currently used antiepileptic drugs (AEDs) (3.6%), the HAMD score (2.5%), and the SAS score (1.2%). Importantly, there were gender differences in these predictors of QOL. The strongest predictors of the QOLIE-31 overall score in women were the AEP score and the number of AEDs. In contrast, the strongest predictors in men were the SAS score, the AEP score and the frequency of seizures. These results indicate that perceived adverse effects of treatments and number of AEDs exerted greater effects on QOL in women, whereas anxiety and seizure-related variables had a stronger impact on QOL among men. Accordingly, it may be necessary to individualize interventions to improve the QOL of people with epilepsy.     

Influence of clinical,demographic, and socioeconomic variables on quality of life in patients with epilepsy: findings from Georgian study

OBJECTIVE: To identify the clinical, demographic, and socioeconomic factors that are associated with a poor quality of life in patients with epilepsy in Georgia. METHODS: Clinical, demographic, and socioeconomic status data were collected from 115 adult epileptic outpatients being treated in the epilepsy programme at the Sarajishvili Institute of Neurology and Neurosurgery (SINN) in Tbilisi, Georgia. Health Related Quality of Life (HRQL) was measured by the Quality of Life in Epilepsy Inventory (QOLIE-31). Multiple regression analysis was used to determine which variables were associated with QOLIE-31 total and subcomponent scores. RESULTS: Mean age of the patient population was 37.9 (SD 15.8) years; 43.5% were females; 51.8% did not have a partner; 39.1% had some university education; 82.6% were unemployed. Of 115 epileptic patients 83.3% had partial, and 16.7% had generalised seizures. Overall, 32.2% of patients were seizure free, and 28.7% experienced more than 10 seizures over the past year. The variables that most strongly predicted a lower QOLIE-31 total score were a low education level, high seizure frequency, and long duration of epilepsy. The QOLIE-31 all subcomponent scores correlated strongly with seizure frequency. Advanced age was a significant predictor for a low overall quality of life, energy/fatigue, and cognitive scores. Female sex was the factor that significantly predicted a low seizure worry score. Education level strongly correlated with overall quality of life, and cognitive and social functioning scores. CONCLUSIONS: Clinical factors such as high seizure frequency and long duration of epilepsy had a significant influence on HRQL. Advanced age, female sex, and a low education level were the demographic factors that correlated strongly with low quality of life scores.     

Psychometric Properties of the German Translation of the QOLIE-31

The purpose of this work was to assess the psychometric properties of the German Translation of the Quality of Life in Epilepsy Inventory, QOLIE-31. Internal consistency, construct and criterion validity, and responsiveness were tested in 509 patients with epilepsy who were administered the questionnaires at application or at admittance to the epilepsy center Bethel. Construct validity was tested in patients with different seizure frequencies and different degrees of tolerability of antiepileptic drug (AED) therapy (adverse effects). The scales Epilepsy-Related Fears und Restrictions in Daily Life due to Epilepsy were used as criterion measures. Test-retest reliability (long-term stability) and responsiveness of the questionnaire were analyzed in subgroups of patients who responded to the questionnaires a second time (n = 256). Cronbach's alpha of the QOLIE-31 was 0.94 and varied between 0.76 and 0.90 for the seven subscales. The correlations of the QOLIE with Epilepsy-Related Fears and Restrictions in Daily Life revealed high correlations between Epilepsy-Related Fears and the QOLIE subscale Seizure Worry (r = 0.81, P < 0.01) and the total score (r = 0.62, P < 0.01) and between Restrictions in Daily Life and the QOLIE subscale Social Functioning (r = 0.71) and the total score (r = 0.70, P < 0.01). Seizure frequency had a significant effect especially on the QOLIE subscales Social Functioning, Seizure Worry, and Overall QOL, whereas tolerability of AED therapy affected especially the subscales Medication Effects, Overall QOL, and Energy-Fatigue. The test-retest reliability (intraclass correlation coefficient) was 0.79 for the overall score and varied between 0.59 and 0.78 for the seven subscales. The German Translation of QOLIE-31 is a reliable and valid questionnaire with which to assess QOL in patients with epilepsy and is conceptually similar to the English version. It is a sensitive questionnaire with respect to seizure frequency and tolerability of antiepileptic drug treatment.     

A prospective audit of adjunctive zonisamide in an everyday clinical setting

ObjectiveThe purpose of the study was to delineate how affective symptoms (AS) influence quality of life (QOL) for individuals with drug-refractory epilepsy (DRE) and those with well-controlled epilepsy (WCE) independently.MethodsAll subjects participating in the study were asked to complete reliable and validated self-report health questionnaires, including AS, measured with the Korean versions of the Beck Depression Inventory, Beck Anxiety Inventory, and Quality of Life in Epilepsy Inventory-31 (QOLIE-31). We examined predictors of QOLIE-31 scores among the various demographic and clinical factors. We compared the effects of AS on QOL between patients with DRE and those with WCE and investigated the differential effects of seizure control and AS on QOL.ResultsTwo hundred forty-nine patients with DRE or WCE were included in the study. The strongest predictor of QOL was AS, followed by seizure control and MRI abnormality. Affective symptoms had almost two times the effect of seizure control and six times the effect of MRI abnormality. Poorest QOL was noted in patients with DRE with AS, followed by those with WCE with AS, DRE without AS, and WCE without AS.ConclusionThe major determinant of QOL in patients with epilepsy is AS rather than DRE or WCE status.     

Sleep disturbances, socioeconomic status, and seizure control as main predictors of quality of life in epilepsy

Improving quality of life is the most important goal for patients with epilepsy. To recognize the factors associated with quality of life in patients with epilepsy in Mexico, we performed a cross-sectional survey using the Quality of Life in Epilepsy 31 (QOLIE-31) inventory to assess the quality of life of 401 adult patients with epilepsy at the National Institute of Neurology and Neurosurgery of Mexico. Clinical and demographical data were collected. Multiple regression was used to determine which factors affected quality of life in our patients. The variables that most strongly predicted a lower QOLIE-31 total score after multiple regression were sleep disorders (P<0.001), socioeconomic status (P<0.001), female gender (P=0.002), and high seizure frequency (P=0.001). In our study, neither depression nor time of evolution of epilepsy had significant influence on QOLIE-31 scores.     

Quality of life of patients with epilepsy (Hungarian survey).

We assessed the quality of life (QOL) of patients with epilepsy using the Quality of Life in Epilepsy Inventory (QOLIE-31). As the first step we compared our results with the data from an American survey in order to validate the test in Hungary. The results show that the Hungarian values were lower but that they followed the same trends as the American data. There was only one controversial result in the question-group of the 'the effects of treatment', which could be explained by the differences in habits and conventions, opportunities and expectations between Hungarian and American epileptic patients. We found significant differences in many aspects of quality of life with respect to (a) gender (general quality of life, seizure worry), (b) pharmacological treatment form (cognitive functions, medication effects, total score and social and role functioning) and (c) economic activity of patients (cognitive functions, emotional well-being, energy/fatigue, medication effects, overall quality of life, overall scores, seizure worry, social and role functioning). We have tried to explain the differences found by taking either the characteristics of epilepsy or the social background of the epileptic patient into consideration. Based on previous knowledge we have tried to define the situations where the assessment of quality of life for people with epilepsy, may be beneficial to their core.     

Assessment of health-related quality of life and influencing factors using QOLIE-31 in Japanese patients with epilepsy

The aim of epilepsy treatment is not only to eliminate seizures, but also to improve health-related quality of life (HRQOL). We conducted a postal self-administered survey of HRQOL for Japanese patients using the Quality of Life in Epilepsy inventory (QOLIE-31), Version 1.0, and analyzed factors influencing their quality of life (QOL). Data from 599 analyzable patients were evaluated and a number of factors influencing QOL were identified, including severity and frequency of seizures, seizure control, type of epilepsy, contributing events such as injuries and falls during seizures, number of antiepileptic drugs, employment status, and surgical outcome. These findings suggest that comprehensive management of the patient should be emphasized. Consideration of all the results led to classification of these factors as one of two types: “all or nothing” and “linear.” With respect to “all or nothing” factors (e.g. “daytime remarkable seizures”), patients may not be able to improve their QOL unless these factors can be completely controlled. Comparison of each score on the QOLIE-31 subscales with published data revealed that the scores for the subscale Medication Effects were markedly low.     

Quality of life and associated factors among adults with epilepsy in Nigeria

OBJECTIVE: Epilepsy is a common condition worldwide and has been observed to affect quality of life (QOL). Though, much has been written on this subject among western populations, little research has been done in developing countries of Africa including Nigeria. The study aims to identify factors associated with quality of life among adult epilepsy patients in this environment. METHOD: Respondents were evaluated using the 10-item Quality of Life in Epilepsy Inventory (QOLIE-10), the 30-item General Health Questionnaire (GHQ-30), the modified Mini Mental State Examination (mMMSE),and the Hospital Anxiety and Depression Scale (HADS). Diagnosis of epilepsy was based on clinical and electroencephalographic findings. RESULTS: The mean age of the 51 respondents was 27.7 years (SD = 9.7). Thirteen (25.5%) had an average of 2 seizure episodes in the month preceding the interview, while 37 (72.5%) have had the condition for more than 5 years. Factors that were significantly associated with overall quality of life included being female (p < 0.05), seizure frequency (p < 0.01), using more than 1 anti-epileptic drugs (AEDs) (p < 0.01), GHQ-30 score (p < 0.01), high anxiety score (p < 0.001), and high depression score (p < 0.01). Multiple regression analysis showed that depressive symptoms were the single most important factor explaining low QOL. Other factors were GHQ-30 score, seizure frequency, and being a woman. CONCLUSION: Controlling seizures and paying attention to the psychological needs of adult epileptics will have a positive effect on the QOL among Nigerian epileptics.     

Impact of epilepsy surgery on quality of life: Systematic review and meta-analysis

Improved quality of life (QoL) is an important outcome goal following epilepsy surgery. This study aims to quantify change in QoL for adults with drug-resistant epilepsy (DRE) who undergo epilepsy surgery, and to explore clinicodemographic factors associated with these changes. We conducted a systematic review and meta-analysis using Medline, Embase, and Cochrane Central Register of Controlled Trials. All studies reporting pre- and post-epilepsy surgery QoL scores in adults with DRE via validated instruments were included. Meta-analysis assessed the postsurgery change in QoL. Meta-regression assessed the effect of postoperative seizure outcomes on postoperative QoL as well as change in pre- and postoperative QoL scores. A total of 3774 titles and abstracts were reviewed, and ultimately 16 studies, comprising 1182 unique patients, were included. Quality of Life in Epilepsy Inventory–31 item (QOLIE-31) meta-analysis included six studies, and QOLIE-89 meta-analysis included four studies. Postoperative change in raw score was 20.5 for QOLIE-31 (95% confidence interval [CI] = 10.9–30.1, I² = 95.5) and 12.1 for QOLIE-89 (95% CI = 8.0–16.1, I² = 55.0%). This corresponds to clinically meaningful QOL improvements. Meta-regression demonstrated a higher postoperative QOLIE-31 score as well as change in pre- and postoperative QOLIE-31 score among studies of cohorts with higher proportions of patients with favorable seizure outcomes. At an individual study level, preoperative absence of mood disorders, better preoperative cognition, fewer trials of antiseizure medications before surgery, high levels of conscientiousness and openness to experience at the baseline, engagement in paid employment before and after surgery, and not being on antidepressants following surgery were associated with improved postoperative QoL. This study demonstrates the potential for epilepsy surgery to provide clinically meaningful improvements in QoL, as well as identifies clinicodemographic factors associated with this outcome. Limitations include substantial heterogeneity between individual studies and high risk of bias.     

Evaluating quality of life in epilepsy: The role of screening for adverse drug effects,depression, and anxiety

ObjectiveThe objective of this study was to evaluate the contribution of validated screening tools for antiepileptic drug (AED) adverse effects, depression, and anxiety to measure the quality of life (QoL) in people with epilepsy (PWE).MethodsPatients in a tertiary epilepsy service were screened for quality of life (using QOLIE-31), major depressive disorder (MDD) (NDDI-E), generalized anxiety disorder (GAD) (GAD-7), and AED effects (AEP). Mini International Neuropsychiatric Interview (MINI) generalized anxiety disorder module was also performed. For AEP validation in French, the internal structural validity was analyzed. Dimensional (NDDI-E and GAD-7 scores) and categorical (MDD and GAD) analyses were performed to investigate interactions between QoL and AEP.ResultsA total of 132 (87 females) subjects were included. The French version of the AEP demonstrated satisfactory psychometric properties (Cronbach's α 0.87). Correlations between NDDI-E, GAD-7, AEP, and QOLIE-31 scores were high, and significant for all subscales of QOLIE-31; no effect of seizure-related variables was seen. Some sex differences in QOLIE-31 subscales were found, and mean AEP score was higher in females. Age, sex, NDDI-E, GAD-7, and AEP scores accounted for 61% of variance of QOLIE-31 scores. Differential effects were seen on QOLIE-31 subscales: AEP strongly correlated with all subscales; GAD-7 scores more strongly correlated with “Seizure Worry”; NDDI-E with “Energy-Fatigue”; and both NDDI-E and GAD-7 scores strongly correlated with “Emotional Well-Being”. Categorical analysis of groups with MDD alone, GAD alone, MDD + GAD, and neither MDD nor GAD showed significant differences in AEP and QOLIE-31 scores, with MDD + GAD showing the most AED effects and the poorest QoL.SignificanceThe combination of screening tools for depression (NDDI-E), anxiety (GAD-7), and AED effects (AEP) has a strong power for evaluating QoL in PWE. Coexisting MMD and GAD were associated with the poorest quality of life and the highest AEP scores.     

Factors affecting the quality of life in patients with epilepsy in Seoul, South Korea

OBJECTIVES: The level of, and factors affecting the quality of life (QOL) in patients with epilepsy may be different in Korea where social prejudice toward them is still pronounced. However, these issues have not yet been addressed properly. METHODS: We consecutively identified 154 epilepsy patients who visited the outpatient clinic at the Seoul National University Hospital. An interview was performed by two research nurses with the use of a standardized questionnaire, which included data pertaining to seizure characteristics, symptoms of depression/anxiety, social support, family life/social life satisfaction, and the activities of daily living (ADLs). The QOL was assessed with the use of QOL in Epilepsy Inventory (QOLIE-31). RESULTS: Factors affecting the QOL were: age (P<0.01), education in years (P<0.01), employment status (P<0.05), employment type (P<0.05), current economic status (P<0.05), seizure frequency (P<0.01), the number of antiepileptic drugs (P<0.01), family life/social life dissatisfaction (P<0.01, respectively), social support (P<0.01), the symptoms of anxiety and depression (P<0.01, respectively) and ADL dysfunction (P<0.01). In multiple regression analysis, the symptom of anxiety was the most important factor in explaining lower QOL in patients with epilepsy, while depression (P<0.01), social life dissatisfaction (P<0.01), ADL dysfunction (P<0.05) and seizure frequency (P<0.05) were also significant factors. CONCLUSION: Psycho-social factors outweighed the physical factors in determining QOL in Korean epilepsy patients. Recognition of these factors will lead health professionals to develop different strategies to improve the QOL of these patients.     

Obsessive-Compulsive Symptoms and Their Impacts on Psychosocial Functioning in People with Epilepsy

Background and Purpose

Obsessive-compulsive symptoms (OCS) in people with epilepsy (PWE) have not been studied systematically. We evaluated the severity, predictors, and psychosocial impact of OCS in PWE.

Methods

We recruited PWE who visited our epilepsy clinic and age-, gender-, and education-matched healthy controls. Both PWE and healthy controls completed the Maudsley Obsessional-Compulsive Inventory (MOCI), which measures OCS. PWE also completed the Beck Depression Inventory (BDI) and the Quality of Life in Epilepsy Inventory-31 (QOLIE-31). We examined the severity of OCS in PWE relative to healthy controls. Predictors of OCS and the QOLIE-31 score were measured by regression analyses. A path analysis model was constructed to verify interrelations between the variables.

Results

The MOCI total score was significantly higher in PWE than in healthy controls (p=0.002). OCS were found in 20% of eligible patients. The strongest predictor of the MOCI total score was the BDI score (β=0.417, p<0.001), followed by EEG abnormality (β=0.194, p<0.001) and etiology (β=0.107, p=0.031). Epileptic syndrome, the side of the epileptic focus, and action mechanisms of antiepileptic drugs did not affect the MOCI total score. The strongest predictor of the QOLIE-31 overall score was the BDI score (β=-0.569, p<0.001), followed by seizure control (β=-0.163, p<0.001) and the MOCI total score (β=-0.148, p=0.001). The MOCI total score directly affected the QOLIE-31 overall score and also exerted indirect effects on the QOLIE-31 overall score through seizure control and the BDI score.

Conclusions

OCS are more likely to develop in PWE than in healthy people. The development of OCS appears to elicit psychosocial problems directly or indirectly by provoking depression or uncontrolled seizures.     

Prevalence of convulsive epilepsy and health-related quality of life of the population with convulsive epilepsy in rural areas of Tibet Autonomous Region in China: an initial survey

OBJECTIVE: The purpose of this study was to establish the prevalence rate of convulsive epilepsy and the treatment gap in some rural areas of Tibet Autonomous Region in China, to evaluate the quality of life (QOL) of patients with epilepsy and identify factors contributing to their QOL. METHODS: A door-to-door epidemiological survey using randomized cluster sampling was conducted in a rural population in Tibet. A screening questionnaire for convulsive epilepsy was used. Clinical and sociodemographic data were collected from patients confirmed as having convulsive epilepsy. QOL was measured with the Quality of Life in Epilepsy inventory (QOLIE-31). Factors associated with QOLIE-31 total and subcomponent scores were analyzed by multiple regression analysis. RESULTS: A total of 14,822 people were screened. Of these, 37 were confirmed to have convulsive epilepsy, which was active in 35. Lifetime prevalence was estimated to be 2.5 per 1000 in this population. Nearly 60% of patients received traditional Tibetan treatment; 97% of the patients with active epilepsy did not receive reasonable antiepileptic therapy in the week before the survey (treatment gap). The mean QOLIE-31 total score was 42.2 (SD 17.6), with the lowest subcomponent score 22.6 (SD 20.3) for Seizure Worry and the highest 85.8 (SD 18.6) for Medication Effects. High seizure frequency, low economic status, advanced age, late seizure onset, and high education level significantly correlated with low QOLIE-31 total and/or subcomponent scores. CONCLUSIONS: The prevalence rate for epilepsy was relatively lower than reported for other rural regions; however, the large treatment gap and poor QOL indicated the pressing needs for medical, financial, and social support in this population.     

Determinants of quality of life in epilepsy

Although depression is associated with diminished quality of life (QOL) in epilepsy patients, the relative contributions of epilepsy-specific concerns, as well as clinical and cognitive variables of QOL, have not been simultaneously investigated. A comprehensive neuropsychological test battery including the Beck Depression Inventory (BDI), Epilepsy Foundation of America's (EFA) Concerns Index, MMPI-2, QOLIE-89, WAIS-III, and Selective Reminding was administered to 115 epilepsy surgery candidates with normal Full Scale IQs. Linear regression analyses were performed to identify significant predictor combinations of QOLIE-89 total score. Regression analysis demonstrated that depressive symptomatology, whether reflected by the BDI (R2=0.45) or Depression scale of the MMPI-2 (R2=0.36), was a robust individual QOL predictor. Seizure Worry from the EFA Concerns Index was nearly as effective as the BDI in predicting QOLIE-89 (R2=0.42). When the BDI and EFA Concerns Index were combined into the same regression, both factors continued to contribute significantly to the QOLIE-89 total score, with both variables accounting for 61% of the variance. Although patients who developed their seizures at an older age had poorer QOL and patients with higher educational levels reported higher QOL, neither factor was related to QOL after accounting for the effects of psychological variables and epilepsy-related concerns. Although quality of life has multiple determinants, symptoms of depression and seizure worry are the most important factors affecting QOL in patients with intractable epilepsy.     

Health-related quality of life in Russian adults with epilepsy: The effect of socio-demographic and clinical factors

ObjectiveThe aim of this study was to evaluate socio-demographic and clinical factors influencing the health-related quality of life (HRQOL) of adult patients with epilepsy in a naturalistic treatment setting in Russia.MethodsThe QOLIE-31 questionnaire and the Beck Depression Inventory (BDI) were completed by 208 patients with a broad clinical spectrum of epilepsy (the mean age was 31.49 ± 13.20 years and ranged from 18 to 74 years).ResultsIn Russian adult patients with epilepsy, lower mean QOLIE-31 scores were obtained compared with previously published international data for overall HRQOL, emotional well-being, and cognitive functioning and social functioning subscales (p < 0.001). Univariate analysis revealed that duration of epilepsy negatively correlated with all QOLIE-31 subscores (p < 0.05), except for emotional well-being (p = 0.1). In multivariate regression analysis, BDI depression score was the predictor of overall score and all QOLIE-31 domains, except for emotional well-being. Age could be considered as a predictor of cognitive and social functioning, medical effects, and the total QOLIE -31 score. Seizure frequency was a factor associated with all HRQOL domains, except for medication effects and emotional well-being, whereas gender, education, family status, seizure type, employment, lateralization of epileptic foci, number of antiepileptic drugs, and the reported adverse events did not significantly affect HRQOL.ConclusionThe present study has revealed that longer duration of epilepsy, older age, higher seizure frequency, and depression are the potential predictors of worse HRQOL in adult Russian patients with epilepsy.