Clinical correlates of memory complaints during AED treatment.

OBJECTIVES: To investigate clinical correlates of memory complaints (MC) during anti-epileptic drug (AEDs) treatment in adults with epilepsy with special attention to the role of depression, using user-friendly standardized clinical instruments which can be adopted in any outpatient setting. MATERIALS & METHODS: Data from a consecutive sample of adult outpatients with epilepsy assessed with the Neurological Disorder Depression Inventory for Epilepsy (NDDIE), the Adverse Event Profile (AEP) and the Emotional Thermometer (ET) were analysed. RESULTS: From a total sample of 443 patients, 28.4% reported MC as 'always' a problem. These patients were less likely to be seizure free (18.3% vs 34.3%; P < 0.001), had a high number of previous AED trials (4 vs 3; P < 0.001) and high AEP total scores (49 vs 34.2; P < 0.001). There was no correlation with specific AED type or combination. Depression was the major determinant with a 2-fold increased risk (95%CI 1.15-3.86; P = 0.016). When depression was already known and under treatment, patients with MC were less likely to be in remission from depression despite antidepressant treatment (11.9% vs 1.6% P < 0.001). Among patients without depression, those reporting MC presented with significantly high scores for depression (3.3 vs 2; t = 3.07; P = 0.003), anxiety (4.5 vs 2.7; t = 4.43; P < 0.001), anger (3 vs 2; t = 2.623; P = 0.009) and distress (3.8 vs 2.2; t = 4.027; P < 0.001) than those without MC. CONCLUSIONS: Depression has to be appropriately treated and full remission from depression should represent the ultimate goal as subthreshold or residual mood and anxiety symptoms can contribute to MC

Screening of anxiety and quality of life in people with epilepsy.

PURPOSE: Up to 60% of people with epilepsy (PwE) have psychiatric comorbidity including anxiety. Anxiety remains under recognized in PwE. This study investigates if screening tools validated for depression could be used to detect anxiety disorders in PWE. Additionally it analyses the effect of anxiety on QoL. METHOD: 261 participants with a confirmed diagnosis of epilepsy were included. Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and Emotional Thermometers (ET), both validated to screen for depression were used. Hospital Anxiety and Depression Scale-Anxiety (HADS-A) with a cut off for moderate and severe anxiety was used as the reference standard. QoL was measured with EQ5-D. Sensitivity, specificity, positive and negative predictive value and ROC analysis as well as multivariate regression analysis were performed. RESULTS: Patients with depression (n=46) were excluded as multivariate regression analysis showed that depression was the only significant determinant of having anxiety in the group. Against HADS-A, NDDI-E and ET-7 showed highest level of accuracy in recognizing anxiety with ET7 being the most effective tool. QoL was significantly reduced in PwE and anxiety. CONCLUSION: Our study showed that reliable screening for moderate to severe anxiety in PwE without co-morbid depression is feasible with screening tools for depression. The cut off values for anxiety are different from those for depression in ET7 but very similar in NDDI-E. ET7 can be applied to screen simultaneously for depression and "pure" anxiety. Anxiety reduces significantly QoL. We recommend screening as an initial first step to rule out patients who are unlikely to have anxiety

Fatigue during treatment with antiepileptic drugs: a levetiracetam specific adverse event?

Purpose To examine the prevalence and clinical correlates of fatigue as an adverse event (AE) of antiepileptic drug (AED) treatment in patients with epilepsy. Methods Data from 443 adult outpatients with epilepsy assessed with the Adverse Event Profile (AEP) and the Neurological Disorder Depression Inventory for Epilepsy (NDDIE) were analysed. Results Fatigue is reported by 36.6% of patients as always a problem during AED treatment. Fatigue is more likely to be reported by females (64.8% vs. 35.2%; Chi-Square = 16.762; df = 3; p = 0.001) and during treatment with levetiracetam (42.3% vs. 33.2%; Chi-Square = 11.462; df = 3; p = 0.009). The associations with the female gender and levetiracetam treatment were not mediated by depression, as identified with the NDDIE, and could not be simply explained by the large number of subjects on levetiracetam treatment, as analogous figures resulted from the analysis of a monotherapy subsample (41.7% vs. 30.3%; Chi-Square = 11.547; df = 3; p = 0.009). Conclusions One third of patients with epilepsy reports fatigue as a significant problem during AED treatment. Fatigue is more likely to be reported by females and seems to be specifically associated with LEV treatment. However, fatigue is not mediated by a negative effect of LEV on mood

International Veterinary Epilepsy Task Force recommendations for a veterinary epilepsy-specific MRI protocol

Epilepsy is one of the most common chronic neurological diseases in veterinary practice. Magnetic resonance imaging (MRI) is regarded as an important diagnostic test to reach the diagnosis of idiopathic epilepsy. However, given that the diagnosis requires the exclusion of other differentials for seizures, the parameters for MRI examination should allow the detection of subtle lesions which may not be obvious with existing techniques. In addition, there are several differentials for idiopathic epilepsy in humans, for example some focal cortical dysplasias, which may only apparent with special sequences, imaging planes and/or particular techniques used in performing the MRI scan. As a result, there is a need to standardize MRI examination in veterinary patients with techniques that reliably diagnose subtle lesions, identify post-seizure changes, and which will allow for future identification of underlying causes of seizures not yet apparent in the veterinary literature. There is a need for a standardized veterinary epilepsy-specific MRI protocol which will facilitate more detailed examination of areas susceptible to generating and perpetuating seizures, is cost efficient, simple to perform and can be adapted for both low and high field scanners. Standardisation of imaging will improve clinical communication and uniformity of case definition between research studies. A 6–7 sequence epilepsy-specific MRI protocol for veterinary patients is proposed and further advanced MR and functional imaging is reviewed

EAN consensus statement for management of patients with neurological diseases during the COVID‐19 pandemic

Background and purpose The recent SARS‐CoV‐2 pandemic has posed multiple challenges to the practice of clinical neurology including recognition of emerging neurological complications and management of coexistent neurological diseases. In a fast‐evolving pandemic, evidence‐based studies are lacking in many areas. This paper presents European Academy of Neurology (EAN) expert consensus statements to guide neurologists caring for patients with COVID‐19. Methods A refined Delphi methodology was applied. In round 1, statements were provided by EAN scientific panels (SPs). In round 2, these statements were circulated to SP members not involved in writing them, asking for agreement/disagreement. Items with agreement >70% were retained for round 3, in which SP co‐chairs rated importance on a five‐point Likert scale. Results were graded by importance and reported as consensus statements. Results In round one, 70 statements were provided by 23 SPs. In round two, 259/1061 SP member responses were received. Fifty‐nine statements obtained >70% agreement and were retained. In round three, responses were received from 55 co‐chairs of 29 SPs. Whilst general recommendations related to prevention of COVID‐19 transmission had high levels of agreement and importance, opinion was more varied concerning statements related to therapy. Conclusion This is the first structured consensus statement on good clinical practice in patients with neurological disease during the COVID‐19 pandemic that provides immediate guidance for neurologists. In this fast‐evolving pandemic, a rapid response using refined Delphi methodology is possible, but guidance may be subject to change as further evidence emerges

Histopathological Findings in Brain Tissue Obtained during Epilepsy Surgery

BACKGROUND: Detailed neuropathological information on the structural brain lesions underlying seizures is valuable for understanding drug-resistant focal epilepsy. / METHODS: We report the diagnoses made on the basis of resected brain specimens from 9523 patients who underwent epilepsy surgery for drug-resistant seizures in 36 centers from 12 European countries over 25 years. Histopathological diagnoses were determined through examination of the specimens in local hospitals (41%) or at the German Neuropathology Reference Center for Epilepsy Surgery (59%). / RESULTS: The onset of seizures occurred before 18 years of age in 75.9% of patients overall, and 72.5% of the patients underwent surgery as adults. The mean duration of epilepsy before surgical resection was 20.1 years among adults and 5.3 years among children. The temporal lobe was involved in 71.9% of operations. There were 36 histopathological diagnoses in seven major disease categories. The most common categories were hippocampal sclerosis, found in 36.4% of the patients (88.7% of cases were in adults), tumors (mainly ganglioglioma) in 23.6%, and malformations of cortical development in 19.8% (focal cortical dysplasia was the most common type, 52.7% of cases of which were in children). No histopathological diagnosis could be established for 7.7% of the patients. / CONCLUSIONS: In patients with drug-resistant focal epilepsy requiring surgery, hippocampal sclerosis was the most common histopathological diagnosis among adults, and focal cortical dysplasia was the most common diagnosis among children. Tumors were the second most common lesion in both groups. (Funded by the European Union and others.

Depression correlates with quality of life in people with epilepsy independent of the measures used

Purpose: A number of studies have suggested that depressed mood is one of the most important predictors of quality of life (QoL) in patients with epilepsy. However, QoL measure used in previous studies was limited to the Quality Of Life in Epilepsy (QOLIE) scales. It could be questioned whether correlation of QOLIE with measures of depression is influenced by the properties of the instruments used rather than being a valid effect. By using visual analogue scales, the current study aims to clarify whether depression and QoL are truly correlated in patients with epilepsy. Methods: Data from a sample of 261 outpatients with epilepsy attending the Epilepsy Clinics of the Atkinson Morley Outpatient Department, St George’s Hospital in London, have been analysed. Patients were screened using the European Quality of Life scale (EQ-5D-3L) which includes an overall visual analogue score (EQ-VAS), the Emotional Thermometer (ET7), Beck Depression Inventory-II (BDI-II), the Hospital Anxiety and Depression Scale (HADS), and the Major Depression Inventory (MDI). Results: Depression was found to significantly correlate with EQ-VAS score with r coefficient ranging from 0.42 to 0.51 and r2 coefficients ranging between 0.18 and 0.26. In addition, we identified patients who were depressed according to DSM-IV criteria (MD) and those with atypical forms of depression (AD). EQ-5D-3L scores in these subjects as compared to those without depression (ND) showed a different impact of AD and MD on QoL. Conclusions: The relationship between depression and quality of life in people with epilepsy has been demonstrated to be a robust and valid effect, not a result of potential bias of the specific measures used. However, the strength of the association is influenced by the individual instrument. Atypical or subsyndromic forms of depression are as relevant as DSM-based depression in terms of impact on QoL