Interictal brain activity changes in temporal lobe epilepsy: A quantitative electroencephalogram analysis.

OBJECTIVES: To evaluate the usefulness of quantitative electroencephalography (qEEG) in the analysis of baseline activity in patients with temporal lobe epilepsy (TLE) and identify measures potentially associated with disease duration and drug resistance. MATERIALS AND METHODS: Cross-sectional study of adult patients with TLE and controls who underwent video-EEG monitoring. Representative artifact-free resting wakefulness baseline EEG segments were selected for quantitative analysis. The fast Fourier transform (FFT) approach was used for the power spectral analysis, with computation of FFT power ratios and alpha-delta and alpha-theta ratios for both hemispheres. The resulting measures were compared between TLE patients and controls and their values as predictors of epilepsy duration and drug resistance analyzed. RESULTS: Thirty-nine TLE patients and 23 controls were included. The TLE patients had a lower alpha-delta ratio in the posterior quadrant ipsilateral to the epileptic focus and a lower alpha-theta ratio in the ipsilateral anterior/posterior quadrants and temporal region. A younger age at onset and longer epilepsy duration correlated with a higher theta power ratio in the contralateral anterior and posterior quadrants and temporal region. No qEEG measures predicted drug resistance. CONCLUSIONS: Quantitative electroencephalography background activity may contribute to the diagnosis of TLE and provide useful information on disease duration. A lower alpha-delta and alpha-theta ratio may be reliable baseline qEEG measures for identifying patients with TLE. A higher contralateral theta power ratio may be indicative of longer epilepsy duration.

Relationship between sleep quality and cognitive performance in patients with epilepsy.

PURPOSE: To investigate the relationship between self-reported sleep quality and cognitive function in patients with epilepsy (PWE), as well as anxiety and depressive symptoms and patient quality of life (QoL). METHODS: This multicenter cross-sectional study included PWE aged ≥12 years who were receiving ≥1 anti-seizure medication (ASM) and had not been diagnosed with a sleep disorder. Patients completed the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), the Montreal Cognitive Assessment test (MoCA), the Hospital Anxiety and Depression Scale (HADS), and the Quality of Life in Epilepsy Inventory-10 (QOLIE-10). RESULTS: The study enrolled 150 patients aged 16-83 years, mean age (standard deviation [SD]) 40.6 (15.2) years; 58.7% were female and 75.3% had focal epilepsy. Mean (SD) PSQI score was 4.71 (3.08), 44.4% of patients had impaired sleep quality (PSQI score ≥5), 19.9% had pathologic excessive daytime sleepiness (ESS score >12), and 32.7% had mild cognitive impairment (MoCA score <26). Within the PSQI, sleep disturbance (P = 0.036) and use of sleep medication (P = 0.006) scores were significantly higher in patients with mild cognitive impairment. Multiple regression analysis showed older age (regression coefficient [B], -0.086; 95% confidence interval [CI], -0.127, -0.045; P < 0.001) and the use of sleep medication component of the PSQI [B, -1.157; 95% CI, -2.064, -0.220; P = 0.013) were independently associated with lower MoCA score. Poor sleep quality was associated with probable anxiety and depression symptoms, and directly correlated with reduced QoL. CONCLUSIONS: In PWE, sleep quality was not significantly independently associated with mild cognitive impairment, although poor sleep quality had a negative effect on mood and QoL.

Medium-term effects of COVID-19 pandemic on epilepsy: A follow-up study.

OBJECTIVE: To analyze the medium-term impact of the COVID-19 pandemic on epilepsy patients, focusing on psychological effects and seizure control. METHODS: Prospective follow-up study to evaluate the medium-term effects of the COVID-19 pandemic on a cohort of epilepsy patients from a tertiary hospital previously surveyed during the first peak of the pandemic. Between July 1, 2020, and August 30, 2020, the patients answered an online 19-item questionnaire, HADS, and PSIQ scales. Short- and medium-term effects of the pandemic confinement and the perception of telemedicine were compared. RESULTS: 153 patients completed the questionnaire, mean ± SD age, 47.6 ± 19.3 years; 49.7% women. Depression was reported by 43 patients, significantly more prevalent than in the short-term analysis (29.2% vs. 19.7%; p = .038). Anxiety (38.1% vs. 36.1%; p = 0.749) and insomnia (28.9% vs. 30.9%, p = .761) remained highly prevalent. Seventeen patients reported an increase in seizure frequency (11.1% vs. 9.1%, p = .515). The three factors independently associated with an increase in seizure frequency in the medium term were drug-resistant epilepsy (odds ratio [OR] = 8.2, 95% CI 2.06-32.52), depression (OR = 6.46, 95% CI 1.80-23.11), and a reduction in income (OR = 5.47, 95% CI 1.51-19.88). A higher proportion of patients found telemedicine unsatisfactory (11.2% vs. 2.4%), and a lower percentage (44.8% vs. 56.8%) found it very satisfactory (p = .005). CONCLUSIONS: Depression rates increased significantly after the first wave. Depression, drug-resistant epilepsy, and a reduction in family income were independent risk factors for an increased seizure frequency. Perception of telemedicine worsened, indicating need for re-adaptation.

The mediating role of epileptic seizures, irritability, and depression on quality of life in people with epilepsy.

PURPOSE: Psychiatric comorbidity is common in epilepsy and has a considerable impact on patient quality of life (QoL). This study aimed to analyze the relationship between seizure frequency, irritability, and depression and describe how they mediate each other's effect on QoL in epilepsy. METHODS: This is a cross-sectional study of consecutive adults seen at an outpatient epilepsy clinic of a tertiary hospital in Barcelona, Spain. All the patients were evaluated for psychiatric comorbidity and administered the State-Trait Anger Expression Inventory-2 (STAXI-2), the Hospital Anxiety and Depression Scale (HADS), and the Quality Of Life in Epilepsy Inventory-10 (QOLIE-10). Mediation analysis with multiple linear regression followed by the Sobel test was performed. RESULTS: We studied 157 patients. Seizure frequency (R = -0.193, P = .053), irritability (R = 0.216, P = .039), and depression (R = -0.598, P < .001) had all a negative effect on QoL. In the adjusted linear regression model, depression was the only independent predictor of impaired QoL (B = -2.453 [95% confidence interval (CI): -3.161, -1.744], P < .001). The Sobel test showed that depression exerted a significant mediating effect on seizure frequency (Z = -1.984; P = .047) and irritability (Z = -3.669; P < .001) in their influence on QoL. CONCLUSION: Depression is an independent predictor of worse QoL and significantly mediated the effects of irritability and poor seizure control on QoL impairment in patients with epilepsy.

Epilepsy in time of COVID-19: A survey-based study.

OBJECTIVES: Collateral damage may occur in epilepsy management during the coronavirus (COVID-19) pandemic. We aimed to establish the impact of this pandemic on epilepsy patients in terms of patient-reported seizure control and emerging symptoms. MATERIALS & METHODS: This is a cross-sectional study including consecutive patients assessed by telephone contact in an epilepsy clinic during the first month of confinement. Demographic and clinical characteristics were recorded, and a 19-item questionnaire was systematically completed. Data regarding the impact of confinement, economic effects of the pandemic, and subjective perception of telemedicine were recorded. Additional clinical data were obtained in patients with a COVID-19 diagnosis. RESULTS: Two hundred and fifty-five patients were recruited: mean age 48.2 ± 19.8 years, 121 (47.5%) women. An increase in seizure frequency was reported by 25 (9.8%) patients. Sixty-eight (26.7%) patients reported confinement-related anxiety, 22 (8.6%) depression, 31 (12.2%) both, and 72 (28.2%) insomnia. Seventy-three (28.6%) patients reported a reduction in economic income. Logistic regression analysis showed that tumor-related epilepsy etiology [OR = 7.36 (95% CI 2.17-24.96)], drug-resistant epilepsy [OR = 3.44 (95% CI 1.19-9.95)], insomnia [OR = 3.25 (95% CI 1.18-8.96)], fear of epilepsy [OR = 3.26 (95% CI 1.09-9.74)], and income reduction [OR = 3.65 (95% CI 1.21-10.95)] were associated with a higher risk of increased seizure frequency. Telemedicine was considered satisfactory by 214 (83.9%) patients. Five patients were diagnosed with COVID-19, with no changes in seizure frequency. CONCLUSIONS: The COVID-19 pandemic has effects in epilepsy patients. Patients with tumor-related, drug-resistant epilepsy, insomnia, and economic difficulties are at a higher risk of increased seizure frequency. Telemedicine represents a suitable tool in this setting.

Lesion location and other predictive factors of dysphagia and its complications in acute stroke.

BACKGROUND AND AIMS: Early detection of dysphagia is crucial in stroke patients as a result of increased morbidity and mortality due to malnutrition and respiratory tract infections. The aim of this study was to identify possible predictors of the onset of dysphagia following stroke in order to be able to act precociously. METHODS: Observational, prospective study in which a Volume-Viscosity Swallow Test (V-VST) was carried out in the first 72 h following admission to assess dysphagia in acute stroke patients with a previous result of <3 in the Eating Assessment Tool-10. Lesions were analysed by computed tomography and/or magnetic resonance, using the ABC/2 formula to calculate their volume. Likewise, 3-month follow-up was carried out for the evaluation of the occurrence of respiratory tract infections and deaths. RESULTS: Out of 106 patients admitted for acute stroke, 60 (56.60%) presented dysphagia (44.40% showing alterations in the effectiveness of swallowing and 33.30% in its safety). The factors that were related to dysphagia were: older age (76.40 ± 11.50 vs 66.37 ± 13.85 years, p = 0.0001), stroke severity as measured on the National Institute of Health Stroke Scale (6.81 ± 5.83 vs 3.38 ± 3.46, p = 0.001) and greater volume of the lesion (23.47 ± 47.15 vs 7.50 ± 14.53 ml, p = 0.042). The variables that were influenced by a greater lesion size were the presence of cough, oxygen desaturation and impaired labial seal. Dysphagia was not affected by the lateralization of the lesion or by the type of stroke (ischaemic/haemorrhagic). Despite the fact that 68.80% of the patients with a temporoparietal lesion presented dysphagia, no significant differences were observed regarding the location of the lesion in the regions studied. 27.3% of the patients with frontal lesions presented respiratory infections after discharge (p = 0.018), a condition which was also observed in 20.0% of patients with dysphagia (p = 0.044). Mortality during the 3-month follow-up period was 20.0% for patients with a positive V-VST (p = 0.005), due to respiratory infection in 66.6% of the cases (p = 0.0001). CONCLUSIONS: Post-stroke dysphagia was associated with the occurrence of respiratory tract infection and mortality. Our study also provides more information about how certain demographic and clinical factors, as well as neuroimaging patterns, influence dysphagia. This fact may help to identify at an early stage those patients with a greater risk of developing swallowing alterations.