Lacosamide in the general population and in people with intellectual disability: Similar responses?

This is the final version. Available from Elsevier via the DOI in this record. Purpose: Epilepsy prevalence is significantly higher in people with Intellectual Disability (ID) compared to people with epilepsy (PWE) from the general population. Increased psychological and behavioural problems, healthcare costs, morbidity, mortality and treatment resistance to antiepileptic drugs (AEDs) is associated with epilepsy in ID populations. Prescribing AEDs for PWE and ID is challenging and influenced heavily by studies conducted with the general population. Our study compares Lacosamide (LCM) response for the ID population to those from the general population; using data from an UK based epilepsy database register (EP ID/PDD AED Register). Methods: Pooled retrospective case notes data for PWE prescribed LCM at 11 UK NHS Trusts were analysed. Participants were classified as per WHO guidance into groups of moderate-profound ID, mild ID and General population. Demographics, concomitant AEDs, starting and maximum dosage, exposure length, adverse effects, dropout rates, seizure frequency were collected. Group differences were reported as odds ratios estimated from univariable logistic regression models. Results: Of 232 consented participants, 156 were from the general population and 76 had ID (24 mild, 52 moderate-profound). Twelve month withdrawal rates and reasons, efficacy, side-effects, start and maximum doses were similar between the groups. Dose titration between baseline and three months was significantly slower in the ID group (p = 0.02). Conclusion: There were no differences for LCM outcomes between general and ID groups. Slower LCM titration in ID populations in the first 3 months was associated with higher retention and lower behavioural side effects as compared to similar European studies.UC

Eslicarbazepine acetate response in intellectual disability population versus general population.

BACKGROUND: A quarter of people with intellectual disability (ID) have epilepsy, compared to approximately one in a hundred across the general population. Evidence for the safe and effective prescribing of antiepileptic drugs (AEDs) for those with ID is, however, limited. AIMS OF STUDY: This study seeks to strengthen the research evidence around Eslicarbazepine Acetate (ESL), a new AED, by comparing response of individuals with ID to those from the general population who do not have ID. METHODS: A single data set was created through retrospective data collection from English and Welsh NHS Trusts. The UK-based Epilepsy Database Research Register (Ep-ID) data collection and analysis method were used. RESULTS: Data were collected for 93 people (36 ID and 57 'no ID'). Seizure improvement of '>50%' was higher at 12 months for 'no ID' participants (56%), compared to ID participants (35%). Retention rates were slightly higher for those with ID (56% compared to 53%). Neither difference was significant. CONCLUSIONS: Tolerance and Efficacy for ID and 'no ID' people in our data set were similar. Seizure improvement and retention rates were slightly lower than that found in other European data sets, but findings strengthen the evidence for the use of ESL in the ID population

Brivaracetam efficacy and tolerability in clinical practice:A UK-based retrospective multicenter service evaluation

Purpose: This multicenter service evaluation explores the efficacy and tolerability of brivaracetam (BRV) in an unselected, consecutive population in ‘real-life’ clinical settings. Method: We retrospectively collected data from patient records at 11 UK hospitals and epilepsy centers. Consecutive patients prescribed BRV with at least 3 months of follow-up (FU) were included. Apart from reporting effectiveness and tolerability of BRV across the whole cohort, we compared treatment outcomes depending on previous levetiracetam use (LEV + versus LEV −), comorbid learning disability (LD + versus LD −), and epilepsy syndrome (focal versus generalized epilepsy). Results: Two hundred and ninety patients (46% male, median age: 38 years, range: 15 to 77) with ≥ 3 months of FU were included. The median duration of BRV exposure was 12 months (range: 1 day to 72 months). Overall BRV retention was 71.1%. While 56.1% of patients improved in terms of seizure frequency category (daily, weekly, monthly, yearly seizures), 23.1% did not improve on this measure and 20.8% deteriorated. In terms of seizure frequency, 21% of patients experienced a ≥ 50% reduction, with 7.0% of all patients becoming seizure-free. Treatment-emergent adverse events (AEs) were reported by 107 (36.9%) patients, but there were no serious AEs. The commonest AEs were sedation/fatigue (18.3%), mood changes (9.0%), and irritability/aggression (4.8%). There were no significant differences in drug retention, seizure frequency outcomes, or AEs between the LEV + and LEV − subgroups, or between patients with generalized or focal epilepsies. Although 15.5% of patients in the LD + group achieved a ≥ 50% reduction, this rate was lower than in the LD − group. Conclusions: This ‘real-life’ evaluation suggests that reductions in seizure frequency can be achieved with BRV in patients with highly refractory epilepsy. Brivaracetam may be a useful treatment option in patients who have previously failed to respond to or tolerate LEV, those with LD, or (off-label) those with generalized epilepsies

Heterogeneity of resting-state EEG features in juvenile myoclonic epilepsy and controls

Abnormal EEG features are a hallmark of epilepsy, and abnormal frequency and network features are apparent in EEGs from people with idiopathic generalized epilepsy in both ictal and interictal states. Here, we characterize differences in the resting-state EEG of individuals with juvenile myoclonic epilepsy and assess factors influencing the heterogeneity of EEG features. We collected EEG data from 147 participants with juvenile myoclonic epilepsy through the Biology of Juvenile Myoclonic Epilepsy study. Ninety-five control EEGs were acquired from two independent studies [Chowdhury et al. (2014) and EU-AIMS Longitudinal European Autism Project]. We extracted frequency and functional network-based features from 10 to 20s epochs of resting-state EEG, including relative power spectral density, peak alpha frequency, network topology measures and brain network ictogenicity: a computational measure of the propensity of networks to generate seizure dynamics. We tested for differences between epilepsy and control EEGs using univariate, multivariable and receiver operating curve analysis. In addition, we explored the heterogeneity of EEG features within and between cohorts by testing for associations with potentially influential factors such as age, sex, epoch length and time, as well as testing for associations with clinical phenotypes including anti-seizure medication, and seizure characteristics in the epilepsy cohort. P-values were corrected for multiple comparisons. Univariate analysis showed significant differences in power spectral density in delta (2-5Hz) (P = 0.0007, hedges' g = 0.55) and low-alpha (6-9Hz) (P = 2.9 × 10-8, g = 0.80) frequency bands, peak alpha frequency (P = 0.000007, g = 0.66), functional network mean degree (P = 0.0006, g = 0.48) and brain network ictogenicity (P = 0.00006, g = 0.56) between epilepsy and controls. Since age (P = 0.009) and epoch length (P = 1.7 × 10-8) differed between the two groups and were potential confounders, we controlled for these covariates in multivariable analysis where disparities in EEG features between epilepsy and controls remained. Receiver operating curve analysis showed low-alpha power spectral density was optimal at distinguishing epilepsy from controls, with an area under the curve of 0.72. Lower average normalized clustering coefficient and shorter average normalized path length were associated with poorer seizure control in epilepsy patients. To conclude, individuals with juvenile myoclonic epilepsy have increased power of neural oscillatory activity at low-alpha frequencies, and increased brain network ictogenicity compared with controls, supporting evidence from studies in other epilepsies with considerable external validity. In addition, the impact of confounders on different frequency-based and network-based EEG features observed in this study highlights the need for careful consideration and control of these factors in future EEG research in idiopathic generalized epilepsy particularly for their use as biomarkers