Factors associated with quality of life in a low-income population with epilepsy

Quality of life in people with epilepsy: Associations with resilience, internalized stigma, and clinical factors in a low-income population

INTRODUCTION

Epilepsy is a common neurological disorder associated with comorbidities and a reduced quality of life (QoL). Internalized stigma is negatively correlatedwiththe QoL, whereas high levels of resilience are associated with increased QoL. Although the stigma towards people with epilepsy (PWE) is expected to be higher in low-income settings than in high-income settings, further research is needed. This study aimed to examine the extent to which resilience and internalized stigma correlatewith the QoL in PWE from a low-income population.

MATERIAL AND METHODS

A cross-sectional, observational, descriptive study was conducted on 60 PWE who visited the Neurology Department of the Hospital de Clinicas (Buenos Aires, Argentina) between May and September 2022. Demographic and clinical data were collected. Participants completed the Quality of Life, Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF), the Chronic Illness Anticipated Stigma Scale (CIASS), and the Resilience Scale (RS). Variables that showed a significant association with the QoL in the univariate analysis were included in a multiple regression model.

RESULTS

Participants had a low overall QoL score, with a median of 59 (95 %CI: 57.2-61.8). They had an average level of education and a high rate of unemployment. Perceived stigma was higher in the workplace than in the medical or family settings. Univariate analysis revealed that the QoL was associated with internalized stigma score, resilience score, seizure frequency, seizure etiology, work status, and educational level. The multiple regressionrevealed a significant decrease in the QoL when perceived stigma increased (p = 0.0016) or when the cause of epilepsy was structural (p = 0,006) and a significant increase in the QoL when the resilience score was higher (p = 0.0004).

CONCLUSION

The QoL of PWE in a low-income context is strongly associated with their levels of resilience and internalized stigma. When addressing the social burden of epilepsy, resilience support should be increased in the care of PWE to reduce internalized stigma and improve the QoL.

Identification of drug resistance in a validated cohort of incident epilepsy patients in the Danish National Patient Register

OBJECTIVE

The main purposes of this study were to validate the epilepsy diagnosis in incident epilepsy cases in the Danish National Patient Registry (DNPR), which contains information on nearly 9 000 000 individuals, and to identify persons in the validated cohort who fulfilled the International League Against Epilepsy (ILAE) criteria for drug-resistant epilepsy (DRE).

METHODS

We reviewed a random sample of medical records from all individuals registered with a first diagnosis of epilepsy (International Classification of Diseases, 10th Revision [ICD-10]: G40) or seizures (ICD-10: G41, R56, or F445) in the Central Denmark Region from 2010 to 2019. In persons with a validated incident epilepsy diagnosis, we determined the proportion with DRE at the latest contact. We performed logistic regression analyses to identify clinical factors that correlated with risk of DRE.

RESULTS

Of 20 723 persons with a first diagnosis of epilepsy (n = 11 812) or seizures (n = 8911), we reviewed the medical records of n = 1067 with incident epilepsy and n = 610 with incident seizures. Among those with a register diagnosis of epilepsy, the diagnosis was confirmed in 838 cases (45% females, mean age at onset = 42.4 years), providing a positive predictive value (PPV) of 79% (95% confidence interval [CI] = 76%-81%). The PPV of focal epilepsy was 86% (95% CI = 82%-89%), and the PPV of generalized epilepsy was 71% (95% CI = 61%-80%). Of 740 patients with confirmed incident epilepsy and ≥1 year of follow-up, 103 (14%) fulfilled the definition of DRE, 476 (64%) were drug responsive, and 161 (22%) had undefined responsiveness. In multivariable logistic regression analysis, early age at epilepsy onset, cognitive impairment, and a history of status epilepticus were associated with DRE.

SIGNIFICANCE

In the DNPR, we found a PPV of the epilepsy diagnosis of 79%. Among persons with confirmed epilepsy, 14% fulfilled ILAE criteria for DRE. Early age at epilepsy onset, cognitive impairment, and a history of status epilepticus were independently associated with drug resistance.

Health-related quality of life and associated factors among adult patients with epilepsy in public hospitals of Wolaita zone, southern Ethiopia. An embedded mixed method study

BACKGROUND

The socioeconomic and overall quality of life of patients with epilepsy are significantly impacted by the disease, which is one of the most prevalent chronic noncommunicable brain disorders. Less consideration has, however, been given to research in Ethiopia generally and the study setting in particular. Consequently, the purpose of this study was to assess the health-related quality of life and associated factors among adult patients with epilepsy in public hospitals in the Wolaita zone of southern Ethiopia.

METHODS

A facility-based embedded mixed method with cross-sectional and phenomenological study designs was carried out on 423 adult patients with epilepsy from August 1 to August 30, 2022. Systematic and criterion-purposive sampling was employed for the cross-sectional and phenomenological designs, respectively, to select study participants. Quantitative data were entered into Kobo Toolbox and then exported to SPSS Version 25 for analysis. The frequency, percentage, and cross-tabulation of the different variables were then determined. Finally, the magnitude and associated factors were first analyzed using binary logistic regression and then multivariate logistic regression. P < 0.05 was chosen as the level of statistical significance. An inductive thematic approach was used for qualitative data analysis.

RESULTS

A total of 423 patients with epilepsy were included in the study, making the response rate 100%. The overall prevalence of poor quality of life among patients with epilepsy in the study area was 53 percent (95% CI: 48.24-57.76). Being single (AOR = 4.457, 95% CI: 1.149, 17.282), having poor social support (AOR = 3.741, 95% CI: 2.107, 6.643), having uncontrolled seizures (AOR = 2.154, 95% CI: 1.234, 3.759), and having a high frequency of seizures (AOR = 5.192, 95% CI: 1.574, 17.126) were significantly associated factors with quality of life. Lack of social support, a fear of drug side effects, and worry about their disease were findings from the qualitative perspective added to the perspective of the quantitative findings.

CONCLUSION

One in every two patients with epilepsy in this study had a poor quality of life. Being single, the frequency of seizures, and a lack of social support all have a significant association. Public health initiatives should continue to strive to create positive awareness of epilepsy in society in addition to managing the clinical aspect of the disease.

Co-morbid mental health conditions in people with epilepsy and association with quality of life in low- and middle-income countries: a systematic review and meta-analysis

BACKGROUND

Comorbid mental health conditions are common in people with epilepsy and have a significant negative impact on important epilepsy outcomes, although the evidence is mostly from high-income countries. This systematic review aimed to synthesise evidence on the association between comorbid mental health conditions and quality of life and functioning among people with epilepsy living in low- and middle income countries (LMICs).

METHODS

We searched PubMed, EMBASE, CINAHL, Global Index medicus (GID) and PsycINFO databases from their dates of inception to January 2022. Only quantiative observational studies were included. Meta-analysis was conducted for studies that reported the same kind of quality of life and functioning outcome. Cohen's d was calculated from the mean difference in quality-of-life score between people with epilepsy who did and did not have a comorbid depression or anxiety condition. The protocol was registered with PROSPERO: CRD42020161487.

RESULTS

The search strategy identified a total of 2,101 articles, from which 33 full text articles were included. Depression was the most common comorbid mental health condition (33 studies), followed by anxiety (16 studies). Meta-analysis was conducted on 19 studies reporting quality of life measured with the same instrument. A large standardized mean effect size (ES) in quality of life score was found (pooled ES = -1.16, 95% confidence interval (CI) - 1.70, - 0.63) between those participants with comorbid depression compared to non-depressed participants. There was significant heterogeneity between studies (I2 = 97.6%, p < 0.001). The median ES (IQR) was - 1.20 (- 1.40, (- 0.64)). An intermediate standard effect size for anxiety on quality of life was also observed (pooled ES = -0.64, 95% CI - 1.14, - 0.13). There was only one study reporting on functioning in relation to comorbid mental health conditions.

CONCLUSION

Comorbid depression in people with epilepsy in LMICs is associated with poor quality of life although this evidence is based on highly heterogeneous studies. These findings support calls to integrate mental health care into services for people with epilepsy in LMICs. Future studies should use prospective designs in which the change in quality of life in relation to mental health or public health interventions across time can be measured.

Quality of life of children with residual seizures after epileptic resection surgery

Objective

Epilepsy dramatically affects the quality of life (QoL) of children, and resection surgery can improve their QoL by reducing seizures or completely controlling them. Children who have postoperative seizures tend to show a poorer QoL. The aim of the present study was to investigate the QoL of children with seizures after resection surgery and its influencing factors.

Methods

In the present study, we retrospectively reviewed 151 consecutive children who underwent resection surgery. We then divided them into two groups, seizure and seizure-free groups, according to the seizure outcomes 1 year after surgery. Variables were categorized into a number of factor types such as preoperative factors, surgery-related factors, postoperative factors, and family factors. QoL and seizure outcomes more than 3 years after surgery were assessed according to the ILAE seizure outcome classification and the CHEQOL-25 scale.

Results

Forty-three (28.5%) of the 151 children had seizures 1 year after surgery, and two children died during the follow-up period. The mean CHEQOL-25 scale for children with seizures was 63.5 ± 18.2, and 20 (48.8%) patients had poor QoL. Surgery-related factors, such as surgical complications and surgical sequelae, were not statistically associated with QoL. Preoperative language development retardation or language dysfunction [odds ratio (OR) = 29.3, P = 0.012) and postoperative ILAE seizure outcome classification (OR = 1.9, P = 0.045)] were significantly associated with QoL.

Significance

Children with seizures after resection surgery had a relatively poor QoL. Surgery-related factors, such as surgical complications and surgical sequelae, cannot predict the QoL. Preoperative language development retardation or language dysfunction and postoperative ILAE seizure outcome classification were independent predictors of the quality of life (QoL). For children who could not achieve the expected freedom from seizure after surgery, a lower ILAE grade (ILAE 1-3) is also an acceptable outcome since it predicts a higher QoL.

Exploring the association between epilepsy and depression: A systematic review and meta-analysis

OBJECTIVE

This study offers meta-analytic data on the potential association between epilepsy and depression especially for the prevalence of depression in epilepsy or vice versa.

METHODS

The relevant studies were searched and identified from nine electronic databases. Studies that mentioned the prevalence and/or incidence of epilepsy and depression were included. Hand searches were also included. The search language was English and the search time was through May 2022. Where feasible, random-effects models were used to generate pooled estimates.

RESULTS

After screening electronic databases and other resources, 48 studies from 6,234 citations were included in this meta-analysis. The period prevalence of epilepsy ranged from 1% to 6% in patients with depression. In population-based settings, the pooled period prevalence of depression in patients with epilepsy was 27% (95% CI, 23-31) and 34% in clinical settings (95% CI, 30-39). Twenty studies reported that seizure frequency, low income, unemployment of the patients, perception of stigma, anxiety, being female, unmarried status, disease course, worse quality of life, higher disability scores, and focal-impaired awareness seizures were risk factors for depression.

CONCLUSION

Our study found that epilepsy was associated with an increased risk of depression. Depression was associated with the severity of epilepsy.

The Metabolic Role of Ketogenic Diets in Treating Epilepsy

Epilepsy is a long-term neurological condition that results in recurrent seizures. Approximately 30% of patients with epilepsy have drug-resistant epilepsy (DRE). The ketogenic diet (KD) is considered an effective alternative treatment for epileptic patients. The aim of this study was to identify the metabolic role of the KD in epilepsy. Ketone bodies induce chemical messengers and alterations in neuronal metabolic activities to regulate neuroprotective mechanisms towards oxidative damage to decrease seizure rate. Here, we discuss the role of KD on epilepsy and related metabolic disorders, focusing on its mechanism of action, favorable effects, and limitations. We describe the significant role of the KD in managing epilepsy disorders.

Psycho-socio-clinical profiles and quality of life in seizure disorders: A cross-sectional registry study

OBJECTIVE

This prospective study aimed at comparing quality of life (QoL) and psycho-socio-clinical profiles between patients with epilepsy, psychogenic nonepileptic seizures (PNES), and syncope. We also intended to identify predictors of QoL in these three seizure disorders.

METHODS

A total of 245 inpatients (epilepsy n = 182, PNES n = 50, syncope n = 13) from a tertiary epilepsy clinic were included. Information on QoL as well as on psychological, sociodemographic, and clinical profiles was retrieved using questionnaires and medical records. Group comparisons on QoL and psycho-socio-clinical profiles were performed via analyses of variance, chi-square tests, and related post hoc tests. Predictors of QoL in epilepsy and PNES were determined using general linear modeling, which was not possible for syncope due to a small sample size.

RESULTS

Patients with epilepsy, PNES, and syncope reported levels of QoL impairment that did not differ significantly between groups (p = 0.266). However, there were significant group differences regarding sex distribution (p < 0.001), seizure disorder duration (p = 0.004), seizure frequency (p = 0.019), current treatment with antiseizure medications (ASM) (p < 0.001), number of current ASM (p < 0.001), and adverse ASM events (p = 0.019). More depressive symptoms (p = 0.001), more adverse ASM events (p = 0.036), and unemployment (p = 0.046) (in this order) independently predicted a diminished QoL in epilepsy. For PNES, more depressive symptoms were the only independent predictor of lower QoL (p = 0.029).

CONCLUSIONS

Patients with epilepsy, PNES, and syncope experience similarly diminished QoL and show a general psycho-socio-clinical burden with a specific pattern for each seizure disorder diagnosis. Although clinical aspects play an undisputed role for QoL in epilepsy, the psychosocial aspects and consequences are equally, or for PNES probably even more, meaningful. A comprehensive approach to research and treatment of seizure disorders seems mandatory to increase QoL for these patients. More research on QoL in syncope is needed.

Quality of life and associated factors among patients with epilepsy at specialized hospitals, Northwest Ethiopia; 2019

BACKGROUND

Epilepsy is a chronic non-communicable brain disorder and the second most burdensome disease in terms of disability-adjusted life years which is characterized by recurrent epileptic seizures, and a constant threat to the quality of life of the patient. Nearly 80% of people with epilepsy live in low- and middle-income countries and the risk of premature death in people with epilepsy is up to three times higher than for the general population. In many parts of the world, people with epilepsy and their families suffer from stigma and discrimination. This study was aimed to assess the quality of life and associated factors among adult people living with epilepsy using the world health organization quality of life assessment tool.

METHODS

Institution-based cross-sectional study design was conducted on 419 epileptic patients using a systematic random sampling technique. The data were collected using the WHOQOL-BREF questionnaire. The data were entered into EpiData version 3.1 and exported to SPSS version 25 software for further analysis and bivariate and multivariable binary logistic regression analyses were done to identify factors associated with the dependent variable. The level of significance was declared as P value <0.05.

RESULT

A total of 402 epileptic patients with a median age of 28 years were involved in the study. The result of this study was revealed that 47.8% (95% CI: 42%, 52%) of the respondents had poor quality of life. Respondents who were in the middle age group (AOR = 0.36, 95% CI: 0.19, 0.70), lower educational level (AOR = 3.11, 95%CI: 1.35, 7.15), those who had low drug adherence (AOR = 8.36, 95%CI: (2.41, 28.98) comorbid anxiety, (AOR = 3.63, 95% CI: 2.55, 8.42) and depression (AOR = 3.85, 95% CI: 2.16, 6.82) were found to be significantly associated with poor quality of life of epilepsy patients.

CONCLUSION

This study revealed that almost one in two epileptic patients had poor quality of life. Age of the respondents, lower educational level, comorbid anxiety and depression, and lower adherence to drugs were significantly associated with poor quality of life. Therefore, health institutions and clinicians should not focus only on the treatment of the disease itself rather they should address diseases' impact on the quality of life of patients.

Quality of Life and Associated Factors Among Patients with Epilepsy Attending Outpatient Department of Saint Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia, 2019

Background

Epilepsy is strongly associated with an impaired quality of life. Patients suffering from epilepsy have a poorer quality of life than both the general population and many other chronic disease sufferers. However, attention is not given on the quality of life of people with epilepsy other than focusing on symptom reduction. This increases the frequency of seizures, impacts on the ability to perform and increases health-related costs. The aim of this study was to assess quality of life and associated factors among patients with epilepsy attending the outpatient department of Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia.

Methods

An institution-based cross-sectional study design was conducted between May and June 2019 at Amanuel Mental Specialized Hospital. A systematic random sampling technique was used to get a total number of 447 samples. Data on quality of life was assessed through interviews using the World Health Organization Quality of Life—Brief (WHOQOL-BREF) Version. The collected data were coded, entered into EpiData 3.1, and analyzed by using SPSS version 20. Simple and multiple linear regression analysis models were fitted and the unstandardized β coefficient at 95% confidence interval was employed. The statistical significance was accepted at p-value <0.05.

Results

The mean score of quality of life was 61.1±11.6 (95%CI: 59.05, 61.23). Perceived stigma (β=−2.13, 95%CI:–2.96, −1.30), frequent seizure (β=−3.16, 95%CI: -4.27, −2.04), AED adherence (β=1.24, 95%CI: 1.10, 1.30), antiepileptic drug side effect (β=−0.32, 95%CI: -0.38, −0.26), anxiety (β-1.91, 95%CI: –2.95, −0.86), depression (β=−3.59, 95%CI: –4.67, −2.52), poor social support (β=−2.51, 95%CI: –3.62, −1.40) and moderate social support (β=−1.60, 95%CI: –2.58, −0.62) were significantly associated factors with quality of life.

Conclusion

The finding from this study indicated that quality of life of patients with epilepsy were moderate. Perceived stigma, frequent seizure, comorbid depression and anxiety, antiepileptic drug nonadherence, antiepileptic drug side effect and poor social support were the predictors of quality of life.

Depression, sleep quality, and social isolation among people with epilepsy in Bhutan: A cross-sectional study

PURPOSE

The aim of this study was to analyze the possible contributions of seizure burden, sleep quality, and social integration to depression among people with epilepsy (PWE) in Bhutan.

METHODS

Bhutan is a lower-middle-income country in Southeast Asia with a public healthcare system without neurologists. People with epilepsy were prospectively recruited from psychiatrist-run epilepsy clinics at the National Referral Hospital in the capital city of Thimphu. Adult participants with epilepsy were interviewed for clinical history, sleep quality using the Pittsburgh Sleep Quality Index, social networks using the Berkman-Syme Social Network Index, and depressive symptoms using the Patient Health Questionnaire - 9 (PHQ-9). A multivariable regression model was built to assess the relationship between depression as an outcome and the possible contributors of sleep quality, sex, and seizure in the prior month.

RESULTS

Out of 80 participants (39 women, mean age: 29.4 years old, range: 18-56 years, 58 [73%] with a seizure in the previous month), 33% had poor sleep quality, 68% were socially isolated, 30% had a mild depressive symptom burden or more, and 18% reported suicidal ideation at the time of their interview. Women had a higher average PHQ-9 score versus men, which showed a trend towards statistical significance (5.6 versus 3.3 PHQ-9 points, p = 0.07), and on average met criteria for mild depression. Social integration was not significantly associated with sleep quality and had no relationship with depressive burden. There was a small positive correlation between poorer sleep quality and depressive symptoms which showed a trend towards statistical significance (r = 0.21, p = 0.06). In a multivariable regression, poor sleep quality was associated with higher depressive symptom burden, adjusting for participant sex and having a seizure in the previous month (p = 0.01).

CONCLUSIONS

Our exploratory study disentangles the multilayered psychosocial burden of disease experienced by PWE in Bhutan, a lower-middle-income country with access to antiseizure medications and psychiatrists but not expert epilepsy services or human resources. Further investigation into the interrelationships among social isolation, poor sleep quality, depression, and seizure burden could identify preventable and remediable constituents of this burden.

Socioeconomic disparities in SUDEP in the US

OBJECTIVE

To determine the impact of socioeconomic status (SES) on sudden unexpected death in epilepsy (SUDEP) rates.

METHODS

We queried all decedents presented for medico-legal investigation at 3 medical examiner (ME) offices across the country (New York City, Maryland, San Diego County) in 2009 to 2010 and 2014 to 2015. We identified all decedents for whom epilepsy/seizure was listed as cause/contributor to death or comorbid condition on the death certificate. We then reviewed all available reports. Decedents determined to have SUDEP were included for analysis. We used median income in the ZIP code of residence as a surrogate for SES. For each region, zip code regions were ranked by median household income and divided into quartiles based on total population for 2 time periods. Region-, age-, and income-adjusted epilepsy prevalence was estimated in each zip code. SUDEP rates in the highest and lowest SES quartiles were evaluated to determine disparity. Examined SUDEP rates in 2 time periods were also compared.

RESULTS

There were 159 and 43 SUDEP cases in the lowest and highest SES quartiles. ME-investigated SUDEP rate ratio between the lowest and highest SES quartiles was 2.6 (95% confidence interval [CI] 1.7-4.1, p < 0.0001) in 2009 to 2010 and 3.3 (95% CI 1.9-6.0, p < 0.0001) in 2014 to 2015. There was a significant decline in overall SUDEP rate between the 2 study periods (36% decrease, 95% CI 22%-48%, p < 0.0001).

CONCLUSION

ME-investigated SUDEP incidence was significantly higher in people with the lowest SES compared to the highest SES. The difference persisted over a 5-year period despite decreased overall SUDEP rates.

Assessment of Quality of Life of Epileptic Patients in Ethiopia

Background

Patients with epilepsy are at an increased risk of poor quality of life.

Purpose

We aimed at assessing the quality of life and its determinants among epileptic patients at University of Gondar Referral Hospital (UoGRH), Ethiopia.

Methods

Institution based cross-sectional study was conducted on epileptic patients on follow up at UoGRH from January 15 to April 15, 2017. Information including socio-demographic profile and diagnosis was extracted from medical records and patients. Quality Of Life In Epilepsy-10 (QOLIE-10) tool was used to measure the quality of life. Independent t-test and one-way analysis of variance were used to look for factors associated with quality of life. The level of statistical significance was declared at P-value ≤ 0.05.

Results

A total of 354 patients were included in the study and mean age was 29.1 ± 11.7 years. The mean QOLIE-10 score was 19.85. One hundred ninety-four (54.8%) of participants had a good quality of life. Being illiterate, unemployment, and presence of co-morbid medical condition were associated with poorer quality of life.

Conclusion

Nearly half of the participants had a poor quality of life. Patients with co-morbidity, illiteracy, and unemployment should be given special emphasis in order to improve their quality of life.

Astroglial role in the pathophysiology of status epilepticus: an overview

Status epilepticus is a medical emergency with elevated morbidity and mortality rates, and represents a leading cause of epilepsy-related deaths. Though status epilepticus can occur at any age, it manifests more likely in children and elderly people. Despite the common prevalence of epileptic disorders, a complete explanation for the mechanisms leading to development of self-limited or long lasting seizures (as in status epilepticus) are still lacking. Apart from neurons, research evidence suggests the involvement of immune and glial cells in epileptogenesis. Among glial cells, astrocytes represent an ideal target for the study of the pathophysiology of status epilepticus, due to their key role in homeostatic balance of the central nervous system. During status epilepticus, astroglial cells are activated by the presence of cytokines, damage associated molecular patterns and reactive oxygen species. The persistent activation of astrocytes leads to a decrease in glutamate clearance with a corresponding accumulation in the synaptic extracellular space, increasing the chance of neuronal excitotoxicity. Moreover, major alterations in astrocytic gap junction coupling, inflammation and receptor expression, facilitate the generation of seizures. Astrocytes are also involved in dysregulation of inhibitory transmission in the central nervous system and directly participate in ionic homeostatic alterations during status epilepticus. In the present review, we focus on the functional and structural changes in astrocytic activity that participate in the development and maintenance of status epilepticus, with special attention on concurrent inflammatory alterations. We also include potential astrocytic treatment targets for status epilepticus.

The Perceived Social Stigma of People with Epilepsy with regard to the Question of Employability

Objective

To evaluate the perceived social stigma of people with epilepsy with regard to the question of employability.

Methods

A structured questionnaire was given to two groups of people with chronic diseases: those with epilepsy (study group) and those with heart disease (control group). The questions concerned employability.

Results

Having epilepsy was more strongly associated with higher unemployment rates (p < 0.0001); job layoffs (p = 0.001); being unfit to work (p < 0.0001); feeling shame for having the disease (p = 0.014); absence of partners (p = 0.026); and depression (p = 0.004). The tendency to hide their disease from their employers was similar for the two groups.

Conclusion

The age discrepancy between groups was an important limiting factor of this study. However, despite the limited number of participants and the age difference between the groups, there is no impediment in stating that people with epilepsy show high rates of unemployment, depression, and stigma.

Epidemiological profile of epilepsy in low income populations

Epilepsy is a global disease with an unequal distribution. About 80% of the affected individuals reside in low and middle income countries. The incidence and prevalence of epilepsy in low income populations is higher than in the rest of the world, this is partly explained by some risk factors such as head trauma, perinatal injury and CNS infections, which are more common in poor regions, especially in rural areas. Epilepsy is considered a treatable condition with high rates of therapeutic response. About three fourths of patients achieve control of the disease with the use of antiepileptic drugs, however, despite this benign prognosis, over 75% of patients from low income populations do not receive treatment at all. The cultural beliefs, the inequity in the distribution of public health services, the inadequate supply of antiepileptic drugs, the low number of neurologists involved in the attention of epilepsy, and the social stigma, are the main reasons that increase the treatment gap and the burden of disease in low income populations with epilepsy. We conducted a narrative review regarding the epidemiology of epilepsy in low income populations by searching PubMed, EMBASE, Google Scholar and thoroughly examining relevant bibliographies. This review aims to summarize the main epidemiological aspects of epilepsy in LMIC, emphasizing on incidence, prevalence, socio-demographic profile, TG, social stigma and QoL.

Correlates of quality of life among individuals with epilepsy enrolled in self-management research: From the US Centers for Disease Control and Prevention Managing Epilepsy Well Network

RATIONALE

Epilepsy is a chronic neurological condition that causes substantial burden on patients and families. Quality of life may be reduced due to the stress of coping with epilepsy. For nearly a decade, the Centers for Disease Control (CDC) Prevention Research Center's Managing Epilepsy Well (MEW) Network has been conducting research on epilepsy self-management to address research and practice gaps. Studies have been conducted by independent centers across the U.S. Recently, the MEW Network sites, collaboratively, began compiling an integrated database to facilitate aggregate secondary analysis of completed and ongoing studies. In this preliminary analysis, correlates of quality of life in people with epilepsy (PWE) were analyzed from pooled baseline data from the MEW Network.

METHODS

For this analysis, data originated from 6 epilepsy studies conducted across 4 research sites and comprised 459 PWE. Descriptive comparisons assessed common data elements that included gender, age, ethnicity, race, education, employment, income, seizure frequency, quality of life, and depression. Standardized rating scales were used for quality of life (QOLIE-10) and for depression (Patient Health Questionnaire, PHQ-9).

RESULTS

While not all datasets included all common data elements, baseline descriptive analysis found a mean age of 42 (SD 13.22), 289 women (63.0%), 59 African Americans (13.7%), and 58 Hispanics (18.5%). Most, 422 (92.8%), completed at least high school, while 169 (61.7%) were unmarried, divorced/separated, or widowed. Median 30-day seizure frequency was 0.71 (range 0-308). Depression at baseline was common, with a mean PHQ-9 score of 8.32 (SD 6.04); 69 (29.0%) had depression in the mild range (PHQ-9 score 5-9) and 92 (38.7%) had depression in the moderate to severe range (PHQ-9 score >9). Lower baseline quality of life was associated with greater depressive severity (p<.001), more frequent seizures (p<.04) and lower income (p<.05).

CONCLUSIONS

The MEW Network Integrated Database offers a unique opportunity for secondary analysis of data from multiple community-based epilepsy research studies. While findings must be tempered by potential sample bias, i.e. a relative under-representation of men and relatively small sample of some racial/ethnic subgroups, results of analyses derived from this first integrated epilepsy self-management database have potential to be useful to the field. Associations between depression severity and lower QOL in PWE are consistent with previous studies derived from clinical samples. Self-management efforts that focus on mental health comorbidity and seizure control may be one way to address modifiable factors that affect quality of life in PWE.

To what extent does depression influence quality of life of people with pharmacoresistant epilepsy in Argentina?

INTRODUCTION

Depression is the most frequent psychiatric co-morbidity in patients with epilepsy. Lifetime prevalence of depression is reported more frequently in temporal lobe epilepsy and is estimated at 35%. This co-morbidity appears to be related with various mechanisms. The aim of this study was to determine the quality of life (QoL) of patients with pharmacoresistant epilepsy with and without co-morbid depression in an Argentinean population.

METHODS

Patients admitted to the video-EEG monitoring unit during the period 2010-2013 went through a standardized psychiatric assessment using SCID-I (Structured Clinical Interview for Axis I diagnoses of DSM-IV), BDI II (Beck Depression Inventory) GAF (Global assessment of functioning), and Q LES Q-SF (for quality of life). Patients were divided in two groups: with and without depression (according to DSM-IV). Sociodemographic data, BDI II scores, GAF, and quality of life (QoL) were compared between the two groups. Comparisons were made using Student's t-test and Mann-Whitney U test. Frequency distributions were compared by Chi-square test. Spearman correlation coefficients were determined.

RESULTS

Seventy-seven patients with pharmacoresistant epilepsy were eligible for this study, 41 patients were included in the group with depression (mean BDI II 15.93), and 36 in the group without depression (mean BDI II 3.36) (p=0.001). The overall QoL was significantly lower in the group with depression compared to the group without depression (p<0.01). The most affected areas were: physical health (p=0.013), mood (p=0.006), course activities (referring to school as well as to hobbies or classes outside of school) (p=0.003), leisure time activities (p=0.011), social activities (p=0.047), general activities (p=0.042), and medication (p=0.022). Severity of depression according to BDI II had a negative correlation with overall QoL (r - 0.339, p<0.01). No correlations were found between seizure frequency, QoL and BDI II.

CONCLUSION

Patients with pharmacoresistant epilepsy and co-morbid depression reported worst QoL. Depression disrupts daily functioning (leisure, social functioning) and is a negative influence for subjective perception of health and medication. Interdisciplinary treatment should be considered (neurology-psychiatry-psychotherapy).

Increasing or fluctuating bispectral index values during post-resuscitation targeted temperature management can predict clinical seizures after rewarming

AIM

To investigate whether an increasing bispectral index (BIS) value during targeted temperature management (TTM) correlates with increased clinical seizures after TTM or worse neurological prognoses after TTM.

METHODS

We performed a retrospective prognostication study of patients who were treated with TTM after recovery of spontaneous circulation from cardiac arrest at a tertiary care hospital. We recorded the BIS regularly during TTM and calculated the correlations of the mean BIS values, standard deviations of the BIS values, and linear regression coefficient of the trend of the BIS values over time as index tests. Study outcomes included the occurrence of clinical seizures after TTM and unfavourable neurological outcomes (defined as a Cerebral Performance Scale score of 3-5). Receiver operating characteristics (ROC) analyses evaluated the predictability of the index tests for the study outcomes.

RESULTS

Of 534 patients with post-cardiac arrest who were admitted to the intensive care unit, 103 were enrolled in this study. Thirty-one patients (30.1%) experienced sequelae in the form of clinical seizures, and 52 (50.5%) had unfavourable neurological outcomes at 30days post-resuscitation. The standard deviation (area under the ROC curve [AUC]=0.763) and the regression coefficient (AUC=0.763) had higher predictability of clinical seizures than the mean BIS value (AUC=0.657); in contrast, the low mean BIS value best predicted unfavourable neurological outcomes (AUC=0.861) compared to the standard deviation (AUC=0.532) and regression coefficient (AUC=0.501).

CONCLUSION

An increase of, or greater fluctuation in, BIS during hypothermia may predict clinical seizures after TTM.