Predictors of quality of life after resective extratemporal epilepsy surgery in adults in long-term follow-up

PurposeTo present long-term outcome and predictors of the health related quality of life (HRQOL) in a large group of patients operated for refractory extratemporal epilepsy.MethodsA German QOLIE-31 questionnaire and additional questions has been mailed for all adult patients operated for extratemporal epilepsy in the Bethel Epilepsy Centre, between 1992 and 2003, 87 patients were eligible for this study.ResultsSeizure freedom, intake of antiepileptic drugs (AEDs), presence of AEDs side effect medical comorbidities and driving a car were significantly correlated to HRQOL in all subscales of QOLIE-31. Gender, age at epilepsy onset, the presence of a partner, psychiatric disease, the presence of auras and tumour pathology have a correlation to QOL in some subscales.Stepwise regression for all patients revealed that seizure freedom and medical comorbidities were highly predictive for most of the subscales of QOLIE-31. Intake of anti-epileptic drugs and AED side effects had a modest effect on QOL. The need for psychiatric treatment predicted poor cognitive function scores. Epilepsy onset at an older age predicted a minimal increase in the overall health scores. An aura at the last follow-up predicted poor medication scores.Regarding the importance of the predictors, seizure freedom and medical comorbidities were the most important predictors of QOL after surgery. AED intake and side effects had an intermediate effect on QOL; however, the gender of the patient and age at epilepsy onset had a minimal effect on QOL.ConclusionsHRQOL after extratemporal epilepsy surgery has multiple determinants. Medical comorbidities should be considered a negative risk factor for QOL during preoperative and postoperative evaluation process.     

Is antiepileptic drug withdrawal status related to quality of life in seizure-free adult patients with epilepsy?

PurposeThis study aimed to determine factors that influence the quality of life (QOL) of seizure-free adult patients with epilepsy in western China and address whether these determinants vary by antiepileptic drug (AED) withdrawal.MethodsA cross-sectional study was conducted in the epilepsy outpatient clinic of West China Hospital, Sichuan University. Patients with epilepsy who were aged at least 18 years and seizure-free for at least 12 months were interviewed using the Quality of Life in Epilepsy Inventory-31 (QOLIE-31); the National Hospital Seizure Severity Scale (NHS3); the Liverpool Adverse Events Profile (LAEP); the Social Support Rating Scale (SSRS); the Family Adaptation, Partnership, Growth, Affection, and Resolve (APGAR) Questionnaire; and the Scale of Knowledge and Attitudes Toward Epilepsy. Eligible patients were divided into two groups: the nonwithdrawal group and the withdrawal group. The independent-samples t-test was used to compare the QOL between the groups, and linear regression analysis was used to explain the variance of their QOL.ResultsOne hundred and eighty-seven (135 nonwithdrawal and 52 withdrawal) patients were included in the analysis. The QOLIE-31 overall score of the nonwithdrawal group was lower than that of the withdrawal group (p < 0.01). The LAEP score was the strongest predictor of the QOLIE-31 overall score of all subjects, explaining 26.9% of the variance. The second strongest predictor was the SSRS score, explaining 12.9%, and the other predictors were the NHS3 score (5.2%), education level (2.3%), age (1.5%), and marriage (1.0%). Furthermore, the strongest predictors in the nonwithdrawal group were the LAEP and SSRS scores, while in the withdrawal group, the strongest predictors were stigma scores and employment.ConclusionAmong the seizure-free adult patients with epilepsy, those with AED withdrawal experienced better QOL than those continuing AED treatment. Furthermore, the determinants of QOL varied by AED withdrawal. Individual strategies to optimize QOL should be developed based on these differences.     

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.     

Affective symptoms and determinants of health-related quality of life in Mexican people with epilepsy

Epilepsy is known to be associated with multiple psychiatric comorbidities, such as depression, sleep-disorders, and anxiety. The objective of this study was to determine the prevalence and impact of affective symptoms over health-related quality of life (QOL) in Mexican people with epilepsy (PWE). We performed a cross-sectional observational study on 73 consecutive PWE and corresponding age- and sex-matched controls. HrQOL was assessed using the QOLIE-10 (QOL in Epilepsy-10) instrument. Clinical and demographic characteristics were recorded, and instruments evaluating depressive/anxiety symptoms, sleep quality, and insomnia were completed. PWE had more depressive/anxiety symptoms when compared with controls. QOLIE-10 scores were significantly inversely correlated with poor sleep quality, insomnia symptoms, depressive/anxiety symptoms, and number of anti-epileptic drugs used, but not with seizure type or number of seizures per month. A poor QOL was independently associated only with anti-epileptic drug polytherapy. PWE are burdened with depressive/anxiety symptoms at alarming rates. The presence of depressive symptoms along with sleep disturbances and more significantly, anti-epileptic drug polytherapy, appears to negatively impact QOL, to a greater degree than short-term seizure control.     

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.     

Health-related quality of life using QOLIE-31: before and after epilepsy surgery a prospective study at a tertiary care center

Background: Outcome following epilepsy surgery has traditionally been measured in terms of relief of seizures. However, changes in health-related quality of life (HRQOL) after surgery for intractable epilepsy are also important to document. There are no studies on the Indian population which assess the outcome of epilepsy surgery in terms of HRQOL. Materials and Methods: We conducted a prospective study on the patients undergoing epilepsy surgery for intractable seizures, between February 2004 and May 2006 at our center. All patients cleared for epilepsy surgery by the epilepsy surgery team were taken up for study. All patients Results: Thirty-six patients satisfying the inclusion/exclusion criteria were included in the analysis. Twenty-nine of these (Group 1) had good seizure outcome (Engel 1 and 2), while seven patients (Group 2) had poor seizure outcome (Engel 3 and 4) at six months. Overall, 77% of all study patients were completely seizure-free at follow-up. There was no baseline difference in the seven domains of QOLIE-31 between the two groups. There was very significant improvement (P value> 0.005 using paired sample T test) in all the domains of QOLIE-31 in the good outcome group after surgery. Health-related quality of life improvement was seen in all the domains in the poor outcome group also, however, it was statistically significant only for the following parameters: seizure worry, overall QOL, emotional wellbeing, energy fatigue and social functioning domains. Improvement in seizure worry, overall QOL, emotional wellbeing and social functioning was significantly more in Group 1 as compared to Group 2. Conclusion: Complete seizure-free state after surgery is associated with very significant improvement in HRQOL parameters. Several, but not all parameters of HRQOL as assessed by QOLIE-31, improved after surgery even in the poor seizure outcome group. The improvement in domains of seizure worry, overall QOL, emotional wellbeing and social functioning is significantly more in those patients in whom complete seizure-free state is achieved.     

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.     

Effects of psychosocial functioning,depression, seizure frequency,and employment on quality of life in patients with epilepsy

This study aimed to investigate the quality of life (QOL) in patients with epilepsy and its correlation with psychosocial impact, depression, seizure-related items, and living circumstances. One hundred two patients who visited the epilepsy clinic at Nagoya City University Hospital participated in this study. We used the Quality of Life in Epilepsy Inventory-31-P (QOLIE-31-P) as a measure of QOL, the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) as the screening instrument for rapid detection of major depression, and the Side Effects and Life Satisfaction Inventory (SEALS) to evaluate psychosocial functioning, seizure-related items, and living circumstances. Significant correlations of the QOLIE-31-P overall score with these questionnaires and seizure-related or demographic variables were identified and analyzed by stepwise linear regression. The QOLIE-31-P overall score correlated significantly with the NDDI-E, SEALS overall score, number of anticonvulsants, frequency of focal seizure with impairment of consciousness or awareness (focal seizure), sheltered work, and employment. The stepwise linear regression showed that the QOLIE-31-P overall score was explained by the effects of psychosocial functioning, depression, frequency of focal seizure, and employment, in that order, with these factors explaining 74% of the variance. Thus, using both the SEALS and NDDI-E may be useful to detect some aspects of QOL in clinical settings.     

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.     

PatientsLikeMe® Online Epilepsy Community: Patient characteristics and predictors of poor health-related quality of life

ObjectiveThe online PatientsLikeMe® Epilepsy Community allows patients with epilepsy to record, monitor, and share their demographic, disease, and treatment characteristics, providing valuable insights into patient perceptions and understanding of epilepsy. The objective of this retrospective analysis was to characterize the profile of users and their disease and identify factors predictive of poor health-related quality of life (HRQoL), while assessing the platform's potential in providing patient-reported data for research purposes.MethodsData recorded (January 2010–November 2011) by Epilepsy Community members, with an epilepsy diagnosis and who reported > 1 seizure, included the following: sociodemographic and disease characteristics, treatments, symptoms, side effects perceived as medication-related, seizure occurrence, and standardized questionnaires (Quality of Life in Epilepsy Inventory [QOLIE-31/P], EuroQoL 5-Dimensions Scale, 3 Levels [EQ-5D-3L], and Hospital Anxiety and Depression Scale [HADS]). Univariate and multivariate logistic regressions were conducted to identify predictors of poor HRQoL.ResultsDuring the study period, the Epilepsy Community comprised 3073 patients, of whom 71.5% were female, had a mean age of 37.8 years, and had a mean epilepsy duration of 17.7 years. The most frequently reported moderate/severe symptoms (n = 2135) included memory problems (60.2%), problems concentrating (53.8%), and fatigue (50.0%). Medication-related side effects (n = 639) included somnolence (23.2%), fatigue (17.2%), and memory impairment (13.8%). The QOLIE-31/P scores (n = 1121) were significantly worse in patients who experienced a recent seizure. For QOLIE-31/P, highly predictive factors for poor HRQoL included the following: mild/moderate problems concentrating, depression, memory problems, treatment side effects, occurrence of tonic–clonic seizures, and epilepsy duration ≤ 1 year. For EQ-5D-3L, highly predictive factors for poor HRQoL included the following: pain, depression, and comorbidities. Patients on newer AEDs were less likely to report poor HRQoL (QOLIE-31/P).SignificanceThese findings move further towards supporting the feasibility and usefulness of collecting real-world, anonymized data recorded by patients online. The data provide insights into factors impacting HRQoL, suggesting that a holistic treatment approach beyond seizure control should be considered in epilepsy.     

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.     

Frequent seizures and polytherapy can impair quality of life in persons with epilepsy

CONTEXT: Careful evaluation of pharmacotherapy, seizure control and quality of life (QOL) are helpful in improving epilepsy care but such data are relatively meager from developing countries. AIMS: To audit pharmacotherapy, seizure control and QOL in persons with epilepsy and to identify factors associated with impaired QOL. SETTINGS AND DESIGN & MATERIALS AND METHODS: The study was carried out using a cross-sectional design in the setting of a tertiary care epilepsy center in India. Persons with epilepsy with > 12 months follow-up at this Center and aged > 16 years were eligible for enrollment. Persons with other disabilities or pregnancy were excluded. Subjects were interviewed with a standard questionnaire and an adapted version of Quality of Life in Epilepsy - 31 (QOLIE-31). Data pertaining to treatment at the time of referral to this center was extracted from medical records. STATISTICAL ANALYSIS USED: Chi-square test, analysis of variance and multiple regression analysis were carried out for statistical significance. RESULTS: One hundred and twelve patients with epilepsy (59 males, mean age 31.2+/-10.7 years) were included. Forty-seven (42%) persons had Generalized Epilepsy (GE) and 65 persons (58%) had Localization-Related Epilepsy (LRE). At entry 24 persons (21.4%) were not on treatment and 59 persons (64.8%) had frequent seizures. At last follow-up 64 persons (57.1%) were seizure-free, 83 persons (74.1%) were on monotherapy and 29 were (25.9%) on polytherapy. Cost of drug at entry was INR 2276 (monotherapy) and INR 3629 (polytherapy) (45 INR = 1 USD). At the time of last follow-up, it was 1898 and 4929 respectively. QOLIE-31 Total Score (TQOL) ranged from 22.6 to 94.4 (mean 68.0 +/- 15.8). Multiple regression analysis showed significant correlation between low TQOL score and polytherapy (P=0.002) and occurrence of one or more seizures per month (P=0.001). CONCLUSIONS: Frequent seizures and polytherapy are associated with lower QOL in persons with epilepsy.     

A Brief Questionnaire to Screen for Quality of Life in Epilepsy The QOLIE-10

Summary: Purpose : To evaluate a brief questionnaire to screen aspects of health-related quality of life for persons with epilepsy.
Methods : A study of 304 adults with epilepsy was undertaken at 25 seizure clinics in the United States. It was used for derivation of a brief screening tool from a longer instrument (QOLIE-89).
Results : The 10–item questionnaire (QOLIE-10) covers general and epilepsy-specific domains, grouped into three factors: Epilepsy Effects (memory, physical effects, and mental effects of medication), Mental Health (energy, depression, overall quality of life), and Role Functioning (seizure worry, work, driving, social limits). Scale scores were significantly different among seizure groups (p = 0.003).
Conclusions : The QOLIE-10 can be completed by a patient in several minutes and reviewed rapidly by the physician. This screening tool could provide potentially useful information for initial assessment or follow-up of problem areas that are not commonly evaluated during routine clinical visits with patients with epilepsy.     

Severity of anxiety and depression are related to a higher perception of adverse effects of antiepileptic drugs

After reviewing the negative effects of antiepileptic drugs (AEDs) on general health and quality of life, the Commission on Outcome Measurement from the International League Against Epilepsy (ILAE) recommended incorporating reliable and valid tools in clinical essays in order to achieve a more accurate assessment of the subjective adverse effects rate and disease severity when using AEDs.PurposeThe aim of this study was to correlate the severity of adverse effects of AEDs, with the presence of anxiety and depression in patients with epilepsy.MethodsThe Spanish version of the Liverpool Adverse Events Profile (LAEP) and the Hospital Anxiety and Depression Scale (HADS) were applied on 130 consecutive outpatients with epilepsy from the epilepsy clinic at the Mexico's National Institute of Neurology and Neurosurgery. A correlation analysis was carried out to determine if the presence of depression and anxiety was related to the adverse effects of AEDs. The relation between LAEP scores with other epidemiological variables was also assessed.ResultsOur study found a positive correlation between the LAEP and the HADS scores (p = <0.01).The most common adverse effects were drowsiness (81.5% [n = 106]), difficulty in concentrating (76% [n = 99]), and nervousness and/or agitation (75% [n = 97]). Female gender, a history of febrile seizures, persistent seizures and polytherapy were associated with a higher toxicity on LAEP. In our study, age at epilepsy onset, duration of epilepsy, type of epilepsy and patients’ age were not related to higher LAEP scores.ConclusionAdverse effects to AEDs can be related with the presence of psychiatric disorders such as anxiety and depression in patients with epilepsy.     

Translation,cross-cultural adaptation,and validation of the Bulgarian version of the Liverpool Adverse Event Profile

BackgroundAdverse effects (AEs) of antiepileptic drugs (AEDs) affect the quality of life of patients with epilepsy and their outcomes. There are no questionnaires or studies on the reliability and validity of instruments measuring AEs of AEDs in patients with epilepsy in Bulgarian language.PurposeThe aim of the present study was the translation, cross-cultural adaptation, and validation of the LAEP in the Bulgarian language in order to use it in the Bulgarian-speaking population in providing a reliable instrument for the clinical monitoring of patients with epilepsy.MethodsOne hundred thirty-one patients (57 men and 74 women, mean age: 40.13 ± 13.37 years) took part in the investigation. The internal consistency and test–retest reliability were tested by Cronbach's α and ICC estimations. The convergent construct validity was tested by estimating the correlation of the LAEP-BG with the QOLIE-89 and the discriminant validity by evaluating the difference between LAEP-BG scores and clinical parameters such as the type of epilepsy using Kruskal–Wallis ANOVA.ResultsThe LAEP-BG showed high internal consistency and reliability. The Cronbach's α of the total scale was 0.86. No significant differences between the Cronbach's α coefficients of the total LAEP-BG and original English, Chinese, Spanish, Korean, and Portuguese–Brazilian versions of the questionnaire were observed. The ICCs, which evaluate the test–retest reliability, were higher than the recommended value of 0.75 and determined the strong positive correlations between the first and second examinations. The creation of two subscales “Neurological and psychiatric side effects” and “Non neurological side effects” of the LAEP-BG proposed by us showed good internal consistency (Cronbach's α of 0.85 and 0.71, respectively). The LAEP-BG scores significantly correlated with other questionnaires such as the Quality of Life in Epilepsy Inventory—89 (QOLIE-89) and showed a good discriminative validity between groups with different levels of self-assessed AEs of AEDs.ConclusionThe Bulgarian version of the Liverpool Adverse Event Profile (LAEP) is a reliable and valid tool in assessing the patient-reported AEs of AEDs and their impact on the patient's outcome.     

Quality of life in medication-resistant epilepsy: the effects of patient's age, age at seizure onset, and disease duration

OBJECTIVE: The goal of this study was to examine the effects of age, age at seizure onset, and duration of epilepsy on health-related quality of life (HRQOL) in patients with medication-resistant epilepsy. METHODS: We analyzed data for a sample of 99 patients with medication-resistant epilepsy drawn from admissions to the Epilepsy Monitoring Unit. Patients had completed the Quality of Life in Epilepsy-89 (QOLIE-89), Profile of Mood States (POMS), and Adverse Events Profile. Number of comorbidities and number of antiepileptic drugs were abstracted from the chart. The dependent variable was QOLIE-89 overall score. The data were analyzed using ordinary least-squares regression. RESULTS: The simple regression results showed no significant effect of patient's age on QOLIE-89 (P=0.354), whereas age at onset and duration had significant effects (P=0.004 and P=0.012, respectively); the higher the age at onset and the shorter the disease duration, the lower the HRQOL. After adding POMS Depression/Dejection, Adverse Events Profile, comorbidities, and antiepileptic drugs, the effects of age at onset and duration were no longer significant (P=0.084 and P=0.207). CONCLUSIONS: Adult-onset epilepsy can disrupt one's established social, economic, and psychological life, while better coping mechanisms and social support may improve HRQOL as the duration of epilepsy increases. The modest association of age at onset and disease duration with HRQOL is explained away by mood states and adverse events, which are much stronger predictors of HRQOL. Interventions to improve HRQOL in patients with medication-resistant epilepsy should, therefore, focus on treating mood disturbances and minimizing medication side effects.     

Factors influencing on quality of life in people with epilepsy.

OBJECTIVES: To assess the influence of different factors on health-related QOL in adults with epilepsy in Moscow, Russia. METHOD: We evaluated quality of life in 242 patients (98 de novo and 144 previously inadequately treated) by using QOLIE-31. Partial cryptogenic or symptomatic epilepsy was diagnosed in 214 patients, in 28-idiopathic generalized epilepsy. Stepwise regression analysis was performed to assess the influence of different factors on QOL. RESULTS: In patients with epilepsy in Russia the total score of QOLIE-31 was rather low-42.13+/-4.14. Relationship of quality of life (total score) and frequency of seizures and duration of disease was analyzed. Frequency of seizures was the most significant parameter related to QOL (R=0.46 with total score). Duration of disease also correlated with QOL score (R=0.24 with total score). Significant but rather weak association (link) between frequency of seizures and almost all of subscales of quality of life was noticed. Duration of epilepsy correlated with less number of subscales: Energy/fatigue, Medication effects, Social functioning, Overall QOL subscales. When factors influencing on QOL were separately analyzed in newly diagnosed and previously treated patients frequency of seizures was the most important parameter in both groups. CONCLUSIONS: Frequency of seizures is the most important factor influencing on QOL in adults with epilepsy (newly diagnosed and previously treated).     

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.     

Impact of stigma on the quality of life of patients with refractory epilepsy

PurposeTo assess the impact of perceived stigma on the quality of life of Bulgarian patients with refractory epilepsy.MethodsWe studied 70 adult patients with refractory epilepsy, without cognitive impairment, progressive somatic, neurological disease or recent seizures, and 70 patients with pharmacosensitive epilepsy. All participants completed a 3-item stigma scale, the patients with refractory epilepsy also completed a Health Related Quality of Life measure (the QOLIE-89).ResultsThe patients with refractory epilepsy had a mean disease duration 25.1 ± 1.3 years. 40.0% of patients (±5.9) had symptomatic epilepsy. Seventeen patients (24.2% ± 5.1) had partial seizures, 16 (22.8% ± 5.0) had generalized seizures and 37 (52.9 ± 6.0) had a mixture of partial and generalized seizures. Most participants had several seizures per week (45.7%) or month (30.0%) despite the fact that 90% were taking combination antiepileptic drug treatment. We found perceived stigma in 43.6% of patients with refractory epilepsy, and 28.7% self-reported severe stigmatization. Only 4 (5.7%) patients with pharmacosensitive epilepsy reported stigmatization which was mild or moderate in all cases. Perceived stigma had a negative impact on the overall score of the QOLIE-89 (T-score 47.8), as well as on all subscales of QOLIE-89, with the exception of “change in health” and “sexual relations”. Patients with refractory epilepsy reporting stigmatization most commonly had very low and low scores on the subscales “health perceptions” (82.9%), “emotional well-being” (71.5%), “memory” (63.4%) and “health discouragement” (62.5%). There was a negative correlation of all QOLIE-89 subscales with perceived stigma severity.ConclusionAll aspects of the quality of life of Bulgarian patients with refractory epilepsy correlate negatively with the severity of perceived stigma.     

Quality of life in seizure-free patients with epilepsy on monotherapy

Epilepsy is a multifaceted chronic disorder which has diverse and complex effects on the well-being of the patient. Although it is evident that seizure type and frequency play a critical role in the quality of life (QOL) of patients with epilepsy, it is less clear what the major determinants are that influence QOL in seizure-free patients receiving monotherapy. The aim of this study was to evaluate demographic, clinical, and socioeconomic factors influencing the QOL of seizure-free patients receiving monotherapy. All participants were patients from four medical centers who had epilepsy, were on monotherapy, and had been seizure-free for at least 1 year. Responders completed three questionnaires on demographic and clinical information, QOL, and antiepileptic drug (AED) side effects during routine follow-up visits in the epilepsy clinics. We present the data of 103 patients: 59 females (57.3%), mean age 37.75+/-13.66 years. Treatment side effects and unemployment (p<0.0001, p=0.037, respectively) were significant predictors for poor overall QOL, whereas age, gender, education, family status, comorbidity, seizure type, age of seizure onset, and epilepsy duration did not significantly affect overall QOL. There was no significant difference in side effects and QOL between patients receiving older versus newer AEDs. Ninety-four (92.2%) patients reported experiencing at least one side effect of AEDs when queried about specific symptoms, while only 11 (10.7%) patients replied affirmatively when asked whether they experienced "any" side effects. The most common side effects involved the central nervous system. In conclusion, this study reveals that the most significant factor influencing the QOL in seizure-free patients on monotherapy is AED side effects. QOL is a crucial component in the clinical care of patients with epilepsy, and physicians should take the time to ask specific questions on side effects of AEDs.