Number Of Antiseizure Medications Research Articles

Longitudinal evaluation of retinal neuroaxonal loss in epilepsy using optical coherence tomography.

People with epilepsy (PwE) suffer from progressive brain atrophy, which is reflected as neuroaxonal loss on the retinal level. This study aims to provide initial insight into the longitudinal dynamics of the retinal neuroaxonal loss and possible driving factors. PwE and healthy controls (HC; 18-55 years of age) underwent spectral domain optical coherence tomography at baseline and 7.0 ± 1.5 and 6.7 ± 1.0 months later, respectively. The change in retinal thickness/volume and annualized percentage change (APC) were calculated for the peripapillary retinal nerve fiber layer (pRNFL), the macular RNFL (mRNFL), the ganglion cell inner plexiform layer (GCIP), the inner nuclear layer, and the total macular volume (TMV). Group comparisons and multiple linear models with stepwise backward selection were performed to evaluate associations with demographic and clinical parameters. PwE (n = 44, 21 females, mean age = 35.6 ± 10.9 years) revealed a significant decrease in the pRNFL, mRNFL, GCIP, and TMV thickness or volume in the study interval. When compared to HC (n = 56, 37 females, mean age = 32.7 ± 8.3 years), the APC of the pRNFL (-.98 ± 3.13%/year) and the GCIP (-1.24 ± 2.56%/year) were significantly more pronounced in PwE (p = .01 and p = .046, respectively). Of note, atrophy of the mRNFL was significantly influenced by the number of antiseizure medications (ASMs; p = .047) and increasing age of PwE (p = .03). Contradictory results, however, were revealed for the impact of seizures. In epilepsy, progression of retinal neuroaxonal loss was already detectable at short-term follow-up. PwE who receive a high number of ASMs seem to be at risk for accelerated neuroaxonal loss, stressing the importance of well-considered and effective antiseizure therapy.

Estimated Disease Progression Trajectory of White Matter Disruption in Unilateral Temporal Lobe Epilepsy: A Data-Driven Machine Learning Approach.

Although the involvement of progressive brain alterations in epilepsy was recently suggested, individual patients' trajectories of white matter (WM) disruption are not known. We investigated the disease progression patterns of WM damage and its associations with clinical metrics. We examined the cross-sectional diffusion tensor imaging (DTI) data of 155 patients with unilateral temporal lobe epilepsy (TLE) and 270 age/gender-matched healthy controls, and we then calculated the average fractional anisotropy (FA) values within 20 WM tracts of the whole brain. We used the Subtype and Stage Inference (SuStaIn) program to detect the progression trajectory of FA changes and investigated its association with clinical parameters including onset age, disease duration, drug-responsiveness, and the number of anti-seizure medications (ASMs). The SuStaIn algorithm identified a single subtype model in which the initial damage occurs in the ipsilateral uncinate fasciculus (UF), followed by damage in the forceps, superior longitudinal fasciculus (SLF), and anterior thalamic radiation (ATR). This pattern was replicated when analyzing TLE with hippocampal sclerosis (n = 50) and TLE with no lesions (n = 105) separately. Further-progressed stages were associated with longer disease duration (p < 0.001) and a greater number of ASMs (p = 0.001). the disease progression model based on WM tracts may be useful as a novel individual-level biomarker.

Prognostication in Epilepsy with Integrated Analysis of Blood Parameters and Clinical Data.

Background/Objectives: Determining the outcome of epilepsy is crucial for making proactive and timely treatment decisions and for counseling patients. Recent research efforts have focused on using various imaging techniques and EEG for prognostication; however, there is insufficient evidence regarding the role of blood parameters. Our study aimed to investigate the additional prognostic value of routine blood parameters in predicting epilepsy outcomes. Methods: We analyzed data from 1782 patients who underwent routine blood tests within 90 days of their first visit and had a minimum follow-up duration of three years. The etiological types were structural (35.1%), genetic (14.2%), immune (4.7%), infectious (2.9%), and unknown (42.6%). The outcome was defined as the presence of seizures in the last year. Results: Initially, a multivariate analysis was conducted based on clinical variables, MRI data, and EEG data. This analysis revealed that sex, age of onset, referred cases, epileptiform discharge, structural etiology, and the number of antiseizure medications were related to the outcome, with an area under the curve (AUC) of 0.705. Among the blood parameters, fibrinogen, bilirubin, uric acid, and aPTT were significant, with AUCs of 0.602, 0.597, 0.455, and 0.549, respectively. Including these blood parameters in the analysis slightly improved the AUC to 0.710. Conclusions: Some blood parameters were found to be related to the final outcome, potentially paving the way to understanding the mechanisms of epileptogenesis and drug resistance.

The effectiveness and safety of bevacizumab in improving the efficacy of antiseizure medication in treating refractory epilepsy induced by stereotactic radiosurgery in meningiomas

Background: Refractory epilepsy (RE) increases rapidly after stereotactic radiosurgery (SRS), but the reports on RE treatment are rare, with various methods and efficacy. In recent years, bevacizumab (BEV) has been widely used as it is effective in eliminating intracranial oedema and reducing radioactive damage. The aim of this study was to evaluate the application of additional BEV to RE after SRS in the real world. Methods: Seizure freedom and seizure response were defined as 100% and &gt; 50% reduction in seizure frequency at baseline and 6-, 9- and 12-month follow-ups. The sustained seizure-free (SSF), sustained seizure response (SSR) was used to assess the effectiveness of BEV. The number of anti-seizure medications (ASM), seizure severity (NH3), and epilepsy quality of life rating scale (QOLIE-31) scores were compared before and 12 months after treatment. Results: Forty-one patients were included from January 2020 to December 2022. During the 1-year follow-up, 5 patients (12.2%) achieved SSF lasting 12 months, and 4.9% and 7.3% enjoyed SSF more than 6 months and 9 months, respectively. Twelve patients (29.3%) achieved SSR lasting for 12 months, and 19.5% and 24.4% of the study cohort achieved SSR more than 6 months and 9 months, respectively. Patients’ ASM, NH3, and QOLIE-31 scores significantly improved 12 months after treatment, and the adverse reactions were controllable. Conclusion: This study is the first to explore and report the additional use of BEV in the treatment of RE after SRS in meningiomas. BEV was effective and safe in the treatment of SRS-induced RE.

Differences and potential mechanisms of theta oscillation and temporoparietal and temporal-central networks in temporal lobe epilepsy patients with unilateral hippocampal sclerosis

BackgroundThere is a lack of further exploration of the epileptogenic network of specific types of epilepsy, such as unilateral hippocampal sclerosis (HS), and there is an urgent need to find exact evidence to confirm the consistency of its brain network changes.MethodsWe enrolled 22 mesial temporal lobe epilepsy with hippocampal sclerosis (mTLE-HS) patients to compare the differences in brain activity between 22 healthy controls (HCs) and them. Resting-state electroencephalography (EEG) was also measured. Then, we calculated the power spectral density and phase locking values in and between these electrodes.ResultsThe results showed the increased theta power was related to the high severity of epilepsy in the temporal, parietal, and central regions in mTLE-HS patients, and there were positive correlations between theta power in the contralateral temporal region and seizure frequency. Theta power in the ipsilateral parietal lobe is positively correlated with the number of anti-seizure medications (ASMs), but not with the usage of third-generation ASMs. Meanwhile, the temporal lobe of mTLE-HS patients had more connectivity with parietal lobe and central region.ConclusionsTheta power is an important EEG indicator of mTLE-HS, positively correlates with epilepsy severity and seizure frequency, and has network properties that can be observed outside the lesion. Moreover, the usage of third-generation ASMs did not affect the risk of increased theta power. Lastly, the temporoparietal and temporal-central networks are likely to be causative pathways in epilepsy patients with cognitive impairment. This study provides a potential guideline for the treatment of mTLE-HS in clinical practice.

Performance validity in a presurgical epilepsy population

Objective: This study examined the performance validity test (PVT) pass/fail rate in a sample of presurgical epilepsy candidates; assessed whether performance validity was associated with reduced performance across cognitive domains; investigated the relationship between performance validity and self-report mood questionnaires; and assessed whether PVT performance was associated with demographic or clinical factors (i.e. sex, race/ethnicity, age, years of education, reported history of special education, seizure longevity, and number of anti-seizure medications). Methods: One hundred and eighty-three presurgical epilepsy candidates were examined. Each patient’s assessment battery included a stand-alone performance validity measure and two embedded validity measures. Results: PVT failure rate in this sample (10%) was associated with reduced performance on all neurocognitive measures: Full Scale IQ (FSIQ; r = −0.26), CVLT-II Total Learning (r = −0.36) and Long Delay Free Recall (LDFR; r = −0.38), BVMT-R Delayed Recall (r = −0.28), and Wisconsin Card Sorting Test (Categories Completed; r = −0.32). In addition, PVT failure rate was associated with elevated scores on the Beck Anxiety Inventory (r = .22) but not on the Beck Depression Inventory (BDI-II; r = .14). Correlations that were significant at the α = 0.05 level maintained significance following post hoc Bonferroni correction. The valid and invalid groups did not differ significantly in sex, race/ethnicity, age, years of education, reported history of special education, seizure longevity, and number of anti-seizure medications. Conclusions: Results from this study suggest that PVT performance was not impacted by demographic or clinical factors and therefore may be a reliable indicator of performance validity in a presurgical epilepsy sample.

Prescription patterns and therapeutic gaps among persons with epilepsy in Southwestern Nigeria.

Introduction: Pharmacotherapy with antiseizure medications (ASMs) has been a cornerstone for achieving long-term remissions in persons with epilepsy (PWEs). This study aims to determine the prescription patterns and treatment gaps (TGs) among PWEs. Methods: Accordingly, a descriptive cross-sectional study was conducted with 940 PWEs aged ≥18years having clinically confirmed diagnosis of epilepsy based on the International League Against Epilepsy (ILAE) criteria. At a scheduled interview with each participant, a previously established questionnaire was used to obtain clinical information relating to epilepsy in terms of the age of onset, etiology, duration of epilepsy, frequency, types, and number of ASMs used. Results: There were fewer male participants [445 (47.4%) vs. 495 (53.6%)] than females, with a higher mean age of onset [(35.19 ± 21.10 vs. 31.58 ± 20.82years; p = 0.009]. The medication characteristics showed that 336 (35.7%) of the 940 PWEs recruited were not on any ASMs, whereas the remaining 604 (64.3%) patients were on ASMs, with 504 (83.4%) on monotherapy vs. 100 (16.6%) on polytherapy. The PWEs on ASM monotherapy had a higher mean age [40.92 ± 19.40 vs. 33.61 ± 16.51years; p < 0.001] and higher mean age of onset [34.47 ± 21.80 vs. 25.39 ± 19.78years; p < 0.001] than those on polytherapy. Furthermore, there were more persons on ASM monotherapy among the participants with seizure duration < 2years [251 (87.5%) vs. 36 (12.5%)] and seizure duration > 2years [253 (79.8%) vs 64 (20.2%)]. Conclusion: The majority of the participants receiving ASMs were on monotherapy, with carbamazepine being the most frequently prescribed medication. Furthermore, about a third of the participants had TGs; therefore, healthcare providers should focus on alleviating the TGs among PWEs.

The Number of Antiseizure Medications Taken and not the Lipid Profile was Associated with Seizure Control in Adult Patients with Epilepsy.

Previous studies show changes in lipid metabolism in epilepsy. The aim of this study was to investigate the association between lipid profile and clinical variables in adult patients with epilepsy (APE). Seventy-two APE participated in this pilot study at an outpatient neurology service. The lipid profile (total cholesterol, low-density lipoprotein (LDL) cholesterol, very-low-density lipoproteins (VLDL) cholesterol, high-density lipoprotein (HDL) cholesterol and triglycerides), age at disease onset, disease duration, seizures frequency, and the number of antiseizure medications (ASM) used were investigated. Data were analyzed using the Chi-square, Fisher, Mann-Whitney, Spearman coefficient, and logistic regression tests. There were significant differences in HDL (p = 0.0023) and total cholesterol (p = 0.0452) levels in connection with the number of ASM used. There was a significant difference in seizure control among the different numbers of ASM used (p = 0.0382). Higher HDL values were found in females (p = 0.0170). The logistic regression showed that only the number of ASM used was associated with seizure control (p = 0.0408; OR = 2.800; 95% CI = 1.044; 7.509). The number of ASM taken and not the lipid profile was associated with seizure control in APE.

Medication Reconciliation Errors on Discharge for Epilepsy Monitoring Unit Patients.

Medication errors are common in the inpatient setting. Epilepsy patients who miss doses of their antiseizure medications are at risk for breakthrough seizures and subsequent complications. The purpose of this study was to quantify and characterize anti-seizure medications reconciliation errors on discharge from the epilepsy monitoring unit (EMU). Consecutive admissions to an academic medical center EMU were retrospectively reviewed. Medication reconciliation errors on discharge, including drug errors, dosing errors, and dose timing errors, were recorded. Associations between medication errors and clinical and demographic variables were analyzed using binary logistic regression for continuous variables and Fisher exact tests for categorical variables. One hundred and eleven admissions between January 1, 2021 and December 31, 2021 were identified. Fourteen anti-seizure medication reconciliation errors were recorded during 11 unique admissions (9.9% of admissions). The most common error type was dosing error (10/14 errors; 71.4%). Number of antiseizure medications on admission (p=0.004), total number of medications on admission (p=0.013), number of medication changes during admission (p=0.0007), and length of stay (p=0.0001) were associated with increased likelihood of errors. Medication reconciliation errors upon discharge from the EMU occur during approximately 10% of admissions. A higher number of preadmission antiseizure medications, higher total number of preadmission medications, higher number of medication changes during admission, and longer length of stay are associated with increased risk of discharge medication reconciliation errors. Careful attention should be paid to patients with these risk factors.

Insomnia in patients with MRI-negative epilepsy: The associated factors and 3D-pCASL cerebral blood flow perfusion changes

ObjectiveThis study aimed to identify the factors associated with insomnia in MRI-negative epilepsy and uncover the underlying pathological mechanism driving insomnia within the context of epilepsy. MethodsWe conducted a retrospective study of patients with MRI-negative epilepsy recruited consecutively from December 2021 to December 2022. All subjects completed the Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS). Additionally, some subjects underwent the three-dimensional pseudo continuous arterial spin labeling(3D-pCASL) imaging examination. Bilateral frontal lobe, temporal lobe, hippocampus, thalamus, amygdala, caudate nucleus and lenticular nucleus were selected as regions of interest(ROI) and cerebral blood flow(CBF) values were measured in these regions. Subjects were classified into insomnia (ISI ≥ 10) or non-insomnia (ISI < 10) groups, and univariate and stepwise logistic regression analyses were employed to identify the factors associated with insomnia. Furthermore, CBF values in each ROI were compared between the two groups to identify the brain regions potentially related to the underlying pathological mechanism of insomnia in epilepsy. ResultsA total of 73 patients with MRI-negative epilepsy were recruited in this study(men, 49.3 %). Among them, 14 patients(19.2 %) had insomnia. Univariate regression revealed that nocturnal seizures, number of anti-seizure medication(ASM), anxiety, use of valproic acid(VPA), depression, and excessive daytime sleepiness(EDS) may be associated with insomnia in MRI-negative epilepsy (all p＜0.05). Stepwise regression demonstrated that nocturnal seizures, anxiety, and EDS were independently associated with insomnia in MRI-negative epilepsy (OR[95 %CI]P: 14.64[2.02–106.27]0.008,49.35[3.06–796.61]0.006, 13.28[1.25–140.66]0.032, respectively). Furthermore, CBF values in the left amygdala were significantly lower in patients with MRI- negative epilepsy who had insomnia. ConclusionThe prevalence of insomnia in MRI-negative epilepsy is 19.2%. Nocturnal seizures, anxiety, and EDS were independently associated with insomnia in MRI-negative epilepsy. The noteworthy decrease in CBF values in the left amygdala might be connected to the underlying pathological mechanism of insomnia in epilepsy.

Treatment odyssey to epilepsy surgery in children with focal cortical dysplasia: Risk factors for delayed surgical intervention

ObjectiveTo elucidate the patient's journey to epilepsy surgery and identify the risk factors contributing to surgical delay in pediatric patients with drug-resistant epilepsy (DRE) due to focal cortical dysplasia (FCD). MethodsA retrospective review was conducted of 93 pediatric patients who underwent curative epilepsy surgery for FCD between January 2012 and March 2023 at a tertiary epilepsy center. The Odyssey plot demonstrated the treatment process before epilepsy surgery, including key milestones of epilepsy onset, first hospital visit, epilepsy diagnosis, MRI diagnosis, DRE diagnosis, and surgery. The primary outcome was surgical delay; the duration from DRE to surgery. Multivariate linear regression models were used to examine the association between surgical delay and clinical, investigative, and treatment characteristics. ResultsThe median age at seizure onset was 1.3 years (interquartile range [IQR] 0.14–3.1), and at the time of surgery, it was 6 years (range 1–11). Notably, 46% experienced surgical delays exceeding two years. The Odyssey plot visually highlighted that surgical delay comprised a significant portion of the patient journey. Although most patients underwent MRI before referral, MRI abnormalities were identified before referral only in 39% of the prolonged group, compared to 70% of the non-prolonged group. Multivariate analyses showed that delayed notification of MRI abnormalities, longer duration from epilepsy onset to DRE, older age at onset, number of antiseizure medications tried, and moderate to severe intellectual disability were significantly associated with prolonged surgical delay. ConclusionPediatric DRE patients with FCD experienced a long journey until surgery. Early and accurate identification of MRI abnormalities is important to minimize surgical delays.

Impact of depressive symptoms on adverse effects in people with epilepsy on antiseizure medication therapy.

We studied the impact of depressive symptoms on adverse effects (AEs) in people with epilepsy (PWE) on antiseizure medication (ASM) therapy. An effect of depression on the AE burden has already been reported. We studied the correlation of various depressive symptoms with specific AEs to assess which AEs are especially prone to being confounded by particular depressive symptoms. PWE filled in a variety of questionnaires including the "Neurological Disorder Depression Inventory for Epilepsy" (NDDI-E), "Emotional Thermometers 4" (ET4) and "Liverpool Adverse Events Profile" (LAEP). Depression was defined by a NDDI-E score > 13. Depressive symptoms consisted of NDDI-E and ET4 items. Discriminant analysis identified those AEs (=LAEP items) that were most highly influenced by depression. Logistic regression analysis yielded correlations of different depressive symptoms with specific AEs. We included 432 PWE. The strongest discriminators for depression were the LAEP items "Depression", "Nervousness/agitation," and "Tiredness". Out of all depressive symptoms "Everything I do is a struggle" most strongly correlated with total LAEP score (odds ratio [OR] = 3.1) and correlated with all but one LAEP item. Other depressive symptoms correlated to varying degrees with total LAEP and item scores. The number of ASMs, lack of seizure remission, and female gender correlated with high LAEP scores. To the best of our knowledge, we are the first to show that various depressive symptoms correlate with specific LAEP items. This information can be helpful for quick evaluation of whether the reporting of different LAEP items may be confounded by particular depressive symptoms. This is relevant because changes in therapy may differ depending on if AEs are confounded by depressive symptoms. Simply reporting a particular depressive symptom may give a clue to whether specific AEs are confounded by depression. Our findings confirm the importance of screening for depression in all PWE. In this study we measured depressive disorder and side effects caused by medication used to treat epilepsy with self-reported questionnaires in a cohort of people with epilepsy. We found depressive disorder to influence the perception of side effects that are caused by drugs used to treat epilepsy. This knowledge can help to identify if the reporting of side effects is influenced by depression. Treating depression may help to reduce side effects and may thus increase the tolerability of anti-epileptic medication. People who tolerate their medication are more likely to take it and are thus less likely to develop epileptic seizure.

Effects of stigma on the quality of life in patients with epilepsy

BackgroundThis study was aimed to evaluate the stigma and quality of life (QoL) in adult patients with epilepsy (PWEs) and explore the relationship between stigma and QoL.MethodsTwo hundred and ninety-eight PWEs admitted to the Epilepsy Center of the First Affiliated Hospital of Chongqing Medical University during September 2020 and March 2021 were enrolled in this study. All participants completed self-reported questionnaires including the Stigma Scale for Epilepsy and the Quality of Life in Epilepsy Inventory-31 (QOLIE-31).ResultsA total of 146 (49%) PWEs reported an experience of stigma. The total score of QOLIE-31 and the individual scores of seven subscales (worry about new seizures, emotion, well-being, energy and fatigue, cognitive impairment, medication effect, and social function) were significantly decreased in these patients (P < 0.001). Multivariate stepwise linear regression analysis showed that the annual household income per capita, the number of antiseizure medications and stigma had statistically significant effects on QoL (P < 0.05). Among them, stigma had the most significant negative effect.ConclusionsNearly half of PWEs have experienced stigma. Stigma, lower household income per capita, and polypharmacy treatment are associated with poorer QoL. Stigma has the most obvious negative impact.

Risk factors for infection and outcomes in infants with neonatal encephalopathy: a cohort study

BackgroundTo determine the association between early infection risk factors and short-term outcomes in infants with neonatal encephalopathy following perinatal asphyxia (NE).MethodsA retrospective population-based cohort study utilizing the National Neonatal Research Database that included infants with NE admitted to neonatal units in England and Wales, Jan 2008–Feb 2018. Exposure: one or more of rupture of membranes >18 h, maternal group B streptococcus colonization, chorioamnionitis, maternal pyrexia or antepartum antibiotics. Primary outcome: death or nasogastric feeds/nil by mouth (NG/NBM) at discharge. Secondary outcomes: organ dysfunction; length of stay; intraventricular hemorrhage; antiseizure medications use.Results998 (13.7%) out of 7265 NE infants had exposure to early infection risk factors. Primary outcome (20.3% vs. 23.1%, OR 0.87 (95% CI 0.71–1.08), p = 0.22), death (12.8% vs. 14.0%, p = 0.32) and NG/NBM (17.4% vs. 19.9%. p = 0.07) did not differ between the exposed and unexposed group. Time to full sucking feeds (OR 0.81 (0.69–0.95)), duration (OR 0.82 (0.71–0.95)) and the number of antiseizure medications (OR 0.84 (0.72–0.98)) were lower in exposed than unexposed infants after adjusting for confounders. Therapeutic hypothermia did not alter the results.ConclusionsInfants with NE exposed to risk factors for early-onset infection did not have worse short-term adverse outcomes.ImpactRisk factors for early-onset neonatal infection, including rupture of membranes >18 h, maternal group B streptococcus colonization, chorioamnionitis, maternal pyrexia or antepartum antibiotics, were not associated with death or short-term morbidity after cooling for NE.Despite exposure to risk factors for early-onset neonatal infection, infants with NE reached oral feeds earlier and needed fewer anti-seizure medications for a shorter duration than infants with NE but without such risk factors.This study supports current provision of therapeutic hypothermia for infants with NE and any risk factors for early-onset neonatal infection.

Frailty as a comprehensive health measure beyond seizure control in patients with epilepsy: A cross-sectional study.

Due to the high clinical heterogeneity of epilepsy, there is a critical need for novel metrics aimed at capturing its biological and phenotypic complexity. Frailty is increasingly recognized in various medical disciplines as a useful construct to understand differences in susceptibility to adverse outcomes. Here, we develop a frailty index (FI) for patients with epilepsy (PwE) and explore its association with demographic and clinical features. In this cross-sectional study, we consecutively enrolled 153 PwE from an outpatient epilepsy clinic. Participants were assessed for various health deficits to calculate the FI. Associations between FI and demographic/clinical features, antiseizure medications (ASMs), and patient-reported outcomes were analyzed using general linear models and Spearman correlation. The median age at the time of study visit was 47 years (interquartile range = 33-60), and 89 (58.2%) patients were females. Multiple linear regression revealed that the developed 33-item FI showed an independent association with age, female sex, higher body mass index, family history of epilepsy, intellectual disability, and the number of ASMs used. A robust analysis of covariance showed higher FI levels in patients using cytochrome P450 3A4-inducer ASMs. We found a moderate positive correlation between FI and psychological distress, lower quality of life, and physical frailty, measured by the Hospital Anxiety and Depression Scale, Quality of Life in Epilepsy Inventory-10, and handgrip strength, respectively. Finally, a weak association was observed between higher FI scores and an increased number of epileptic falls. This study highlights the significance of frailty as a comprehensive health measure in epilepsy. It suggests that frailty in this specific population is not only a manifestation of aging but is inherently linked to epilepsy and treatment-related factors. Future research is warranted to validate and refine the FI in diverse epilepsy populations and investigate its impact on specific adverse outcomes in longitudinal studies.

Mediating effects of sleep quality between clinical characteristics and quality of life in children with epilepsy: A cross-sectional study from Southwest China

BackgroundAlthough sleep quality (SQ) reportedly affects the health-related quality of life (QOL) of patients with epilepsy, little is known about the potential association between SQ and QOL, particularly in children with epilepsy (CWE). Our study aimed to investigate the mediating effect of SQ on the QOL of CWE to obtain more information for the prevention and treatment of epilepsy in children. MethodsWe collected general demographic and clinical data of 212 CWE and 79 controls (children who visited the Health Examination Department), and their guardians were instructed to answer the Children’s Sleep Habits Questionnaire (CSHQ) and the optimized Quality of Life in Childhood Epilepsy Questionnaire-16 (QOLCE-16). The t-test, analysis of variance, chi-square test, and Fisher’s exact test were used for between group comparisons. The Pearson correlation was used to analyze the correlation between variables. The direct, indirect, and total effects of predictors on the QOL of CWE were estimated based on an adjusted mediation model. ResultsCWE had significantly smaller long-term urban residence rates, less educated guardians, higher total CSHQ score, higher incidence of poor SQ, higher bedtime resistance, more sleep anxiety, worse sleep-disordered breathing, increased parasomnia, more daytime sleepiness, more frequent night waking, and greater sleep onset delay than controls (P < 0.05 for all). The univariable analysis showed significant differences in total CSHQ scores between CWE with different seizure frequency in the last month, whether or not drug-resistant epilepsy (DRE), and with different video electroencephalogram (VEEG) findings (P < 0.05 for all). Differences in QOLCE-16 scores between CWE with different guardian’s employment status, age at diagnosis, number of anti-seizure medication (ASM) types, seizure frequency in the last month, DRE status, seizure type, VEEG findings, neuropsychological evaluation findings, magnetic resonance imaging (MRI) findings, and etiology were statistically significant (P < 0.05 for all). The correlation study indicated that the total CSHQ score was negatively correlated with the QOLCE-16 score (P < 0.05). The mediation analysis showed that DRE and VEEG abnormalities had a standardized direct effect on the QOL. Seizure frequency in the last month, DRE, and VEEG abnormalities had an indirect effect on the QOL through SQ, and their mediating effect values of SQ were 31.61 %, 13.45 %, and 14.35 %, respectively. ConclusionOur findings uncovered the relationship of some clinical characteristics with SQ and QOL and characterized the nature of factors affecting the QOL of CWE. SQ could be a key factor in the prognosis of CWE experiencing epileptic seizures, and more attention should be paid on the management of SQ in interventions for epilepsy.

Gluten sensitivity based on HLA genotyping in patients with epilepsy in a tertiary hospital in Malaysia

AbstractIntroductionGluten sensitivity (GS) is present in approximately 1% of the Malaysian population (Yap et al., PLoS One, 10, 2015, e0121908). GS is associated with several neurological conditions including epilepsy. Individuals with GS often exhibit a genetic predisposition associated with human leukocyte antigens (HLA) (Cecilio &amp; Bonatto, Arq Bras Cir Dig, 28, 2015, 183). The purpose of this study was to investigate the prevalence of GS based on HLA genotyping in patients with epilepsy (PWE).MethodIn total, 50 PWE and 50 controls were recruited. DNA was extracted from the venous blood samples and genotyped for HLA‐DQ2.2, DQ2.5, DQ7 and DQ 8. In this study, GS was diagnosed if any subject showed positive for one or more of the HLA‐DQ alleles. The type of epilepsy and number of antiseizure medication (ASM) used were recorded.ResultsOnly 2 alleles (HLA‐DQ 2.2 &amp; HLA‐DQ8) were detected among 46 out of 100 subjects. 18 PWE and 19 controls were positive for HLA‐DQ8 (p = 0.836). 9 of the PWE, but no controls were positive for HLA‐DQ 2.2 (p = 0.003). 8 of these 9 PWE who were positive for HLA‐DQ 2.2 were also positive for HLA‐DQ8 (double positive), and these patients required multiple ASM for seizure control (p = 0.006).ConclusionHLA‐DQ2.2 was seen highly prevalent in PWE. The double positives required more than one ASM for seizure control postulating malabsorption of ASM in these individuals. These findings suggest that HLA‐DQ genotyping may be a valuable additional test in PWE especially in those needing more than one ASM. Prescribing gluten‐free diet (GFD) to PWE with GS may potentially be an additional measure to achieve seizure control.

Analysis of related factors for neuropsychiatric comorbidities in children with epilepsy

ObjectiveTo analyze the risk factors affecting psychiatric behavior and study the psychobehavioral conditions of children with epilepsy.MethodWe randomly selected and enrolled 294 children with epilepsy who visited and were hospitalized in the pediatric clinic of Hebei General Hospital between January 2017 and January 2022, as the study participants. We comprehensively assessed their cognitive functions using the Gesell development schedule or Wechsler Intelligence Scales. The participants were divided into the study group (n = 123) with cognitive impairment and the control group (n = 171) with normal cognitive functions, for analysis.ResultsThere were statistically significant differences between the two groups in disease course, frequency of epilepsy, status epilepticus, and the number of antiseizure medications (ASMs) used (P < 0.05), while there were no statistically significant differences in age, gender, age of onset, form of onset, interictal epileptiform discharge, history of febrile convulsion, and the time from onset to initial visit (P > 0.05). Based on multivariate logistic regression analysis, the course of disease, frequency of onset, status epilepticus and number of ASMs used were identified as high-risk factors for cognitive impairment in children with epilepsy. Similarly, early onset, long course of disease, known etiology, and combination of multiple drugs have a negative impact on behavioral problems, school education, and social adaptability.ConclusionThe course of disease, the frequency of onset, status epilepticus, and the number of ASMs used are high-risk factors for cognitive impairment in children with epilepsy, which can be prevented and controlled early. When selecting ASMs, their advantages and disadvantages should be weighed. Moreover, the availability of alternative treatment options must be considered. With the help of genomic technology, the causes of epilepsy should be identified as early as possible, and precision medicine and gene therapy for children with epilepsy should be actively developed.

Predictors of medical intractability in children with epilepsy onset during the first two years of life, excluding infantile epileptic spasm syndrome

PurposeEarly childhood epilepsy presents a significant challenge, with approximately 30 % of individuals experiencing treatment failure. This study aimed to identify predictors of medical intractability in children with epilepsy onset during the first two years of life, excluding infantile epileptic spasm syndrome. MethodsA total of 323 children were retrospectively evaluated. The analyses included a review of medical records for demographic, laboratory, radiological, and electroencephalographic (EEG) findings. Children were diagnosed with drug-resistant epilepsy (DRE) according to the ILAE diagnostic criteria. Twenty-one potential prognostic predictors were examined in relation to medical intractability. ResultsAmong the 323 children (56.7 % male), 119 (36.8 %) had unknown epilepsy, 131 (40.6 %) had structural epilepsy, 53 (16.4 %) had genetic epilepsy, and 20 (6.2 %) had metabolic epilepsy. Over a median follow-up of 68 months, 55.4 % of the children achieved ≥6 months of seizure freedom, 33.1 % developed DRE, and the remaining 11.5 % had rare ongoing seizures but did not meet the criteria for DRE because they were only treated with one antiseizure medication at the last follow-up. Univariate logistic regression analyses identified ten risk factors significantly associated with DRE. Multivariate logistic regression analyses revealed that the presence of developmental delay at epilepsy onset (p = 0.000; OR 7.890; 95 %CI 2.713 to 22.945), history of status epilepticus (p = 0.000; OR 8.247; 95 %CI 3.619 to 18.793), number of antiseizure medications (ASMs) at the sixth month of diagnosis (p = 0.000; OR 20.585; 95 %CI 8.993 to 47.117), and initial EEG findings (p = 0.046; OR 2.366; 95 %CI 1.015 to 5.518) were predictors of medical intractability. Nineteen (5.9 %) children died during follow-up for various reasons, including progressive neurogenetic or neurodegenerative disorders. ConclusionDevelopmental delay at epilepsy onset, a history of status epilepticus, the use of two or more ASMs in the sixth month of diagnosis, and abnormal initial EEG findings were associated with medical intractability.

Which psychogenic nonepileptic seizure (PNES) patients are more likely to be treated with anti-seizure medications?

BackgroundThe average time for psychogenic nonepileptic seizures (PNES) diagnosis is about 7.5 years. Many patients receive inadequate treatment and sometimes even life-threatening treatments such as tracheal intubation during this time. PurposeTo determine the risk factors for misdiagnosis of PNES as Epilepsy. MethodsThe medical records of patients who underwent video-electroencephalogram (EEG) monitoring were reviewed retrospectively. Patients who had PNES without epileptic seizures (ES) were included in this study. Baseline personal and monitoring characteristics were collected. The patients were then divided into two groups based on their therapeutic status. Patients in the treatment group were again divided into two groups based on the number of anti-seizure medications (ASM) they were treated with. ResultsFifty-seven patients diagnosed with PNES were included in this study. Thirty-seven patients were under treatment, and 20 patients were not under treatment at the time of monitoring. Motor seizures, abnormal interictal EEG patterns, and pathological brain imaging findings were more frequent among patients in the treatment group (p<0.05). Patients with motor seizures were more likely to be treated with multiple ASM than patients with only dialeptic nonmotor seizures (p<0.05). Lastly, patients in the treatment group were monitored longer and had fewer seizures during monitoring (p<0.05). ConclusionPNES patients with abnormal EEG patterns and pathological brain imaging findings are more likely to be treated with ASM. The pure dialeptic nature of seizures is less likely to be misdiagnosed as ES. In addition, patients with such seizures are less likely to be treated with multiple treatment lines.