Antiseizure medication withdrawal in adult patients with idiopathic generalized epilepsy: Performance of two seizure recurrence prediction models.

PURPOSE: Currently, there is a limited availability of tools to predict seizure recurrence after discontinuation of antiseizure medications (ASMs). This study aimed to establish the seizure recurrence rate following ASM cessation in adult patients with idiopathic generalized epilepsy (IGE) and to assess the predictive performance of the Lamberink and the Stevelink prediction models using real-world data. METHODS: Retrospective longitudinal study in IGE patients who underwent ASM withdrawal in a tertiary epilepsy clinic since June 2011, with the latest follow up in January 2024. The minimum follow-up period was 12 months. Clinical and demographic variables were collected, and the seizure recurrence prediction models proposed by Lamberink and Stevelink were applied and evaluated. RESULTS: Forty-seven patients (mean age 33.15 ± 8 [20-55] years; 72.35 % women) were included. During the follow-up period, seizures recurred in 25 patients (53.2 %). Median time to recurrence was 8 months [IQR 3-13.5 months], and 17 patients (68 %) relapsed within the first year. None of the relapsing patients developed drug-resistant epilepsy. The only significant risk factor associated with recurrence was a seizure-free period of less than 2 years before discontinuing medication (91.7 % vs 40 %, p =.005). The Stevelink prediction model at both 2 (p =.015) and 5 years (p =.020) achieved statistical significance, with an AUC of 0.72 (95 % CI 0.56-0.88), while the Lamberink model showed inadequate prognostic capability. CONCLUSION: In our real-world cohort, a seizure-free period of at least 2 years was the only factor significantly associated with epilepsy remission after ASM withdrawal. Larger studies are needed to accurately predict seizure recurrence in IGE patients.

Prediction of long-term unprovoked seizures after status epilepticus.

OBJECTIVE: Possible long-term consequences of status epilepticus (SE) include cognitive and behavioral impairment and the development of chronic epilepsy. However, these aspects have not been systematically studied in clinical practice. We aimed to evaluate long-term seizure recurrence after SE and the potential risk factors for their development. METHODS: Data were obtained from a prospective registry of all SE episodes occurring in adult patients who attended our center from February 2011 to April 2022. Clinical data, electroencephalographic findings, treatment, and long-term data were prospectively recorded. We performed a cross-sectional study of consecutive SE patients without previous epilepsy diagnosis, and analyzed the development of unprovoked remote seizures. RESULTS: A total of 849 patients were registered in the database. After excluding in-hospital mortality (198/849, 23.3%) and patients with prior epilepsy history (291/849, 44.7%), 360 patients (42.4%) with a first SE episode were included. The median age was 68 years (interquartile range [IQR] = 56-79), and 176 patients (48.9%) were women. The median time to first-line treatment initiation was 2 h (IQR = .7-7.4), and it was correlated with SE duration (R = .375, p < .001). One hundred nine patients (30.3%) presented unprovoked seizures during a median follow-up of 1.8 years (IQR = .5-4.3). After adjusting for identifiable confounders in a multivariable Cox regression analysis, progressive symptomatic etiology (hazard ratio [HR] = 1.97, 95% confidence interval [CI] = 1.17-3.33, p = .011), time to first-line treatment initiation > 1.5 h (HR = 1.89, 95% CI = 1.25-2.87, p = .003), and superrefractory SE (HR = 2.34, 95% CI = 1.26-4.33, p = .007) were independently associated with a greater risk of unprovoked seizure recurrence. In contrast, older patients (HR = .99, 95% CI = .97-.99, p = .021) and an acute symptomatic etiology (HR = .44, 95% CI .28-.68, p < .001) were at lower risk of unprovoked seizure recurrence. SIGNIFICANCE: The etiology of SE, the delay in initiating SE treatment, and the presence of superrefractoriness have been identified as potentials factors associated with unprovoked remote seizures following a new onset SE. Therefore, prompt and appropriate management should be applied to avoid seizure recurrence.

Risk assessment of long-term epilepsy after de novo status epilepticus with clinical and electroencephalographic biomarkers: The AFTER score.

BACKGROUND: The risk of developing epilepsy after de novo status epilepticus (SE) is nonnegligible. The individualized management of patients with high risk of subsequent epilepsy could improve long-term quality of life and cognitive impairment. We aimed to ascertain potential biomarkers of subsequent epilepsy and to construct a scoring system possessing predictive value for the diagnosis of post-SE epilepsy during follow-up. METHODS: The study data were obtained from a prospective registry of all SE episodes occurring in patients over 16 years attended in our tertiary center from February 2011 to April 2022. Clinical data, electroencephalography findings, treatment, and long-term clinical data were prospectively recorded. We selected SE patients at risk of developing epilepsy (acute symptomatic and cryptogenic etiologies with no previous history of epilepsy) and analyzed the risk of developing subsequent epilepsy. RESULTS: We included 230 patients. Median age was 65 years ± 16.9 SD and 112/230 (48.7 %) were women. One-hundred ninety-eight patients (86.1 %) had an acute symptomatic SE, whereas 32 patients (13.9 %) presented with a cryptogenic SE. A total of 55 patients (23.9 %) developed an unprovoked remote seizure and were diagnosed with epilepsy. After adjusting for identifiable confounders in a multivariable Cox regression analysis cryptogenic etiology (HR 2.24 [1.13-4.46], p = 0.022), first-line treatment initiation ≥1 h (HR 2.12 [1.03-4.36], p = 0.041], RDA/LPD/GPD EEG patterns (HR 1.88 [1.07-3.32], p = 0.028), and super-refractoriness (HR 2.90 [1.40-5.99], p = 0.004) emerged as independent predictors of post-SE epilepsy. Based on these findings, we constructed the AFTER score (1 point for each item) with a robust capability to predict post-SE epilepsy at 5 years (AUC 74.3 %, 95 %CI 64.3-84.3 %, p < 0.001). CONCLUSIONS: The AFTER score is a robust predictor of the development of epilepsy after new onset SE using clinical and electroencephalographic biomarkers (such as etiology, time to first-line treatment initiation, EEG pattern and super-refractoriness). Prospective studies are warranted to validate the score in other populations.

Wall enhancement as a biomarker of intracranial aneurysm instability: a histo-radiological study.

BACKGROUND: The aim of this is to explore the histological basis of vessel wall enhancement (WE) on magnetic resonance imaging (MRI), which is a strong radiological biomarker of aneurysmal prone to rupture compared to other classical risk predictors (e.g., PHASES score, size, morphology). METHODS: A prospective observational study was performed including all consecutive patients presenting with a saccular intracranial aneurysm at Vall d'Hebron University Hospital between October 2017 and May 2019. The patients underwent high-resolution 3 T MRI, and their aneurysms were classified into asymptomatic, symptomatic, and ruptured. A histological and immunohistochemical study was performed in a subgroup of patients (n = 20, of which 15 presented with WE). Multiple regression analyses were performed to identify predictors of rupture and aneurysm symptoms. RESULTS: A total of 132 patients were enrolled in the study. WE was present in 36.5% of aneurysms: 22.9% asymptomatic, 76.9% symptomatic, and 100% ruptured. Immunohistochemical markers associated with WE were CD3 T cell receptor (p = 0.05) and CD45 leukocyte common antigen (p = 0.05). Moreover, WE is an independent predictor of symptomatic and ruptured aneurysms (p < 0.001). CONCLUSIONS: Aneurysms with WE present multiple histopathological changes that may contribute to wall disruption and represent the pathophysiological basis of radiological WE. Moreover, WE is an independent diagnostic predictor of aneurysm symptoms and rupture.

Can the body mass index influence the skin temperature of adolescents assessed by infrared thermography?

Infrared thermography (IRT) is a technology that has been used as an auxiliary tool in the diagnostic process of several diseases and in sports monitoring to prevent injuries. However, the evaluation of a thermogram can be influenced by several factors that need to be understood and controlled to avoid a misinterpretation of the thermogram and, consequently, an inappropriate clinical action. Among the possible factors that can affect IRT are anthropometric factors, especially those related to body composition. Based on these, our objective was to verify the influence of Body Mass Index (BMI) on skin temperature (Tsk) in male adolescents. One hundred male adolescents (age: 16.83 ±â€¯1.08 years; body mass: 66.51 ±â€¯13.35 kg; height: 1.75 ±â€¯7.04 m and BMI: 21.57 ±â€¯4.06 kg/m2) were evaluated and divided into three groups, based on the World Health Organization (WHO) proposed classification ranges: underweight (n = 33), normal weight (n = 34) and overweight/obesity (n = 34). Thermograms were obtained using the FLIR T420 thermal imager after a period of acclimatization of the subjects in a controlled environment (temperature: 21.3 ±â€¯0.7 °C and humidity: 55.3 ±â€¯2.2%); they were evaluated using the ThermoHuman® software, integrating the original regions of interest (ROI) into seven larger ROIs. The results showed that underweight individuals had higher Tsk values than normal weight and overweight/obese individuals for all evaluated ROIs, and overweight/obese individuals had lower Tsk values than normal weight individuals for most evaluated ROIs, except for arms region. BMI showed a correlation of -0.68 and -0.64 for the anterior and posterior regions of the trunk, respectively. Thermal normality tables were proposed for various ROIs according to BMI classification. Our study demonstrated that BMI can affect the Tsk values assessed by IRT and needs to be considered to interpret the thermograms.

Magnetic resonance imaging findings in focal-onset status epilepticus.

BACKGROUND AND PURPOSE: Magnetic resonance imaging (MRI) is commonly used in the diagnostic work-up for status epilepticus (SE). The purpose of this study was to characterize MRI features in SE patients and determine their association with clinical and electroencephalography (EEG) findings. The mid-term consequences of baseline MRI features were also analysed. METHODS: This is a prospective study including consecutive patients with SE who underwent brain MRI within 240 h after SE onset. The MRI protocol included T1-weighted (T1WI), T2-weighted (T2W), fluid-attenuated inversion recovery (FLAIR) and diffusion-weighted imaging (DWI) sequences. Follow-up MRI was performed after SE resolution in some patients. RESULTS: Sixty patients (56.7% men, mean age 58.3 years) were included. SE-related MRI abnormalities were seen in 31 (51.7%), manifesting as hyperintensities on T2W/FLAIR imaging (58.1%) and DWI (74.2%) sequences. Hippocampal and pulvinar involvement was seen in 58.0% and 25.8% of patients, respectively. MRI abnormalities were associated with a longer SE duration (p = 0.013) and the presence of lateralized periodic discharges (LPDs) on EEG (p < 0.001). Amongst the 33 follow-up MRIs, nine (27.3%) showed mesial temporal sclerosis (MTS), which was associated with severe clinical status (p = 0.031), hippocampal oedema (p = 0.001) and LPDs (p = 0.001) at baseline. A poorer clinical outcome was associated with baseline T2W/FLAIR imaging hyperintensities (p = 0.003). CONCLUSION: MRI showed abnormalities in more than half of SE patients. A longer SE duration and LPDs on EEG were associated with SE-related MRI abnormalities and the development of MTS.

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.

Acute effect of auxotonic and isometric contraction evaluated by infrared thermography in handball players.

The Infrared Thermography (IRT) is being used in the field of sport as a means of quantifying the effects of workload. The aims of this study were (i) to determine the variations in skin temperature (Tsk) of the lower limbs after an effort of auxotonic and isometric squat contractions using infrared thermography and (ii) to study jumping performance variations in handball players after those two different contraction types. A total of 15 national level handball players voluntarily participated in the study (age: 23.20 ± 5.23 years). Two types of protocols - isometric and auxotonic - were performed on different days, having previously calculated the maximal isometric squat strength and auxotonic 1RM. During the data collection, participants performed a specific standardized warm-up and then randomly performed 4x10 repetitions of auxotonic squat to 90° of knee flexion at 70% of 1RM and 4x10 s of isometric squat effort at 90° of knee flexion, at 70% of maximal isometric squat strength (both with a passive recovery of 90 s seated). Rate of perceived exertion (RPE) and countermovement jumping performance (CMJ) were measured before and immediately after efforts. Additionally, infrared thermography data from twelve regions of interest of the lower limbs were registered before, immediately after and 15 min after finishing the effort. The main results indicated no significant differences for RPE (p = 0.486), CMJ vertical height (VH; p = 0.344) and Tsk (p > 0.05) in any of the regions of interest after protocols. Significant differences (p < 0.05) were found for the time of data collection on Tsk with similar pre- and post-15 min values. In conclusion, Tsk decreased after both isometric and auxotonic effort at 70% of the maximal performance and recovered baseline values within 15 min of completion. Both efforts produced similar effects on skin temperature and did not affect jumping performance after exercise.

Equations based on anthropometric measurements for adipose tissue, body fat, or body density prediction in children and adolescents: a scoping review.

PURPOSE: Assessing the body composition of children and adolescents is important to monitor their health status. Anthropometric measurements are feasible and less-expensive than other techniques for body composition assessment. This study aimed to systematically map anthropometric equations to predict adipose tissue, body fat, or density in children and adolescents, and to analyze methodological aspects of the development of anthropometric equations using skinfolds. METHODS: A scoping review was carried out following the PRISMA-ScR criteria. The search was carried out in eight databases. The methodological structure protocol of this scoping review was retrospectively registered in the Open Science Framework ( https://osf.io/35uhc/ ). RESULTS: We included 78 reports and 593 anthropometric equations. The samples consisted of healthy individuals, people with different diseases or disabilities, and athletes from different sports. Dual-energy X-ray absorptiometry (DXA) was the reference method most commonly used in developing equations. Triceps and subscapular skinfolds were the anthropometric measurements most frequently used as predictors in the equations. Age, stage of sexual maturation, and peak height velocity were used as complementary variables in the equations. CONCLUSION: Our scoping review identified equations proposed for children and adolescents with a great diversity of characteristics. In many of the reports, important methodological aspects were not addressed, a factor that may be associated with equation bias. LEVEL IV: Evidence obtained from multiple time series analysis such as case studies. (NB: dramatic results in uncontrolled trials might also be regarded as this type of evidence).

Levetiracetam as first-line monotherapy for Idiopathic Generalized Epilepsy in women.

BACKGROUND: Levetiracetam (LEV) is effective in Idiopathic Generalized Epilepsy (IGE) and seems to be a good alternative to valproic acid in women of childbearing age. However, there is lack of approval for this indication as monotherapy. The aim of this study is to assess the efficacy of LEV as a first-line therapy in this population. METHODS: The study is a descriptive analysis of women aged between 16 and 45 years old diagnosed with IGE and treated with LEV as first-line monotherapy. Minimum follow-up was 24 months. RESULTS: 26 women. Mean age: 25.4 years (17-43). 14 Juvenile Myoclonic Epilepsy; 8 Tonic-Clonic Seizures Alone; 4 Juvenile Absence. Mean follow-up: 68.3 months (24-120). 11 patients (40.7%) continued to take LEV as monotherapy, of which 10 were seizure-free, and three (11.5%) continue to be seizure-free after withdrawing LEV. 12 patients (46.2%) required a change of treatment: 25% (3/12) due to lack of efficacy, 42% (5/12) due to adverse effects and 33% (4/12) due to both. Irritability was the most frequent adverse effect. At the last assessment, three patients (11.5%) continued to have seizures despite polytherapy. Estimated retention rates were 78.1% at one year (SE 7.3%) and 51% at 5 years (SE 9.8%). Estimated median retention time is 72 months (CI 95%: 50.9-93.1). CONCLUSION: LEV could be an effective drug as first-line treatment for IGE in women of childbearing potential. The adverse effects are its main limitation. Comparative studies are needed in order to establish it for this indication.

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.

Incidence and mortality in adults with epilepsy in northern Spain.

OBJECTIVES: We aimed to determine the regional incidence and mortality of adult epilepsy, compare mortality rates with the expected in the general population, and identify predictors of shorter survival. MATERIALS AND METHODS: We included all consecutive newly diagnosed epilepsy visited at a university hospital in Spain throughout 2012. We collected all relevant clinical data up to December 2018. We analyzed the incidence of epilepsy in our catchment area, studied mortality rates, and explored factors predictive of shorter survival. RESULTS: The annual incidence of epilepsy among adults was 37.7 cases/100,000 inhabitants. We studied 110 patients with newly diagnosed epilepsy. Mean age was 52.6 years, and 53.6% were men. Eighty-nine patients (80.9%) had focal epilepsy, 50 (45.5%) had a structural etiology, and 45 (40.9%) had an unknown cause. Nineteen patients died over a median follow-up of 5.3 years. Mortality was almost four times higher than expected in general population and was increased in patients aged 40-59 years. Mortality rates were 5.5%, 12%, and 16.8% in the first, second, and third year, after which they remained stable to the end of follow-up. Independent predictors of mortality were age (p = 0.001), tumor-related epilepsy (p = 0.003), and generalized seizures (p = 0.020). CONCLUSIONS: There is a high incidence of epilepsy among adults in our geographic area, with a mortality rate quadrupling that expected for the general population. Age, generalized seizures, and tumor-related epilepsy are independently associated with a higher risk of death.

The economic burden of newly diagnosed epilepsy in Spain.

OBJECTIVE: The aim of this study was to determine the hospital burden and economic impact of epilepsy in adults in Spain and identify characteristics associated with higher direct medical costs. METHOD: Patients newly diagnosed with epilepsy at the outpatient epilepsy unit of a tertiary hospital in Spain in 2012 were included. Sociodemographic and clinical data and use of health resources were collected retrospectively from electronic medical records from the time of diagnosis to the end of follow-up (2019). Direct costs (in 2012 Euro) were estimated and linear regression models built to explore predictors of higher costs. RESULTS: We studied 110 patients with newly diagnosed epilepsy. Their mean (SD) age was 52.6 (19.6) years and 53.6% were men. Eighty-nine patients (80.9%) had focal epilepsy and 45 (40.9%) had an unknown etiology. At 6 months, 79.1% of patients were classified as responders and 17.6% as having drug-resistant epilepsy. The mean direct cost in the first year of epilepsy diagnosis was €3816.06, 49.7% of which was due to hospital admissions. The mean annual cost per patient was €2584.17, 51.4% of which was due to anti-seizure medications (ASMs). Focal epilepsy and poor response in the first 6 months of treatment predicted higher annual costs, while focal epilepsy and pre-existing comorbidities predicted higher costs in the first year. CONCLUSIONS: The direct cost of newly diagnosed epilepsy in adults in our area is €2584 per patient/year. Anti-seizure medication use is the main cost driver. Focal epilepsy, comorbidities, and poor response to ASMs are independent predictors of higher costs.

Effect of late-onset epilepsy on cognitive functioning in patients with small vessel disease.

RATIONALE: Late-onset epilepsy (LOE) often has underlying cerebrovascular cause and has been associated with neurocognitive deficits and dementia. Nevertheless, the interplay between these factors has not been studied thus far. Hence, we conducted a retrospective cross-sectional study aimed to explore how unprovoked epileptic seizures along with vascular-related factors contribute to neurocognitive impairments in patients with cerebral small vessel disease. METHODS: Twenty-seven patients with LOE aged > 60 years with concomitant cerebral small vessel disease (cSVD) and a matched group of cSVD without epilepsy were cognitively assessed. Demographic, clinical, and vascular information were obtained and vascular burden score was calculated for each patient. Multiple linear regression models were used to explore the relationship between epilepsy and cognitive measures adjusting for demographic and vascular risk factors. RESULTS: Compared with cSVD, cSVD-LOE group showed a poorer performance on verbal memory measures, visuomotor tracking and speed processing and phonetic fluency. In the multiple regression analysis, the presence of epilepsy was found to be the major predictor for verbal memory dysfunction, specifically in verbal short recall (p = 0.008) and verbal learning (p < 0.001). No interactions between vascular burden and epilepsy were found. CONCLUSION: Patients who had cSVD with concurrent LOE showed poorer performance on memory function compared with patients with cSVD without epilepsy, and they showed a different cognitive profile from that typically manifested by patients with cSVD. The presence of epilepsy, but not seizure localization nor vascular burden, was the major contributor to the decrease in verbal memory.

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.

Is Spreading Depolarization a Risk Factor for Late Epilepsy? A Prospective Study in Patients with Traumatic Brain Injury and Malignant Ischemic Stroke Undergoing Decompressive Craniectomy.

OBJECTIVE: Spreading depolarizations (SDs) have been described in patients with ischemic and haemorrhagic stroke, traumatic brain injury, and migraine with aura, among other conditions. The exact pathophysiological mechanism of SDs is not yet fully established. Our aim in this study was to evaluate the relationship between the electrocorticography (ECoG) findings of SDs and/or epileptiform activity and subsequent epilepsy and electroclinical outcome. METHODS: This was a prospective observational study of 39 adults, 17 with malignant middle cerebral artery infarction (MMCAI) and 22 with traumatic brain injury, who underwent decompressive craniectomy and multimodal neuromonitoring including ECoG in penumbral tissue. Serial electroencephalography (EEG) recordings were obtained for all surviving patients. Functional disability at 6 and 12 months after injury were assessed using the Barthel, modified Rankin (mRS), and Extended Glasgow Outcome (GOS-E) scales. RESULTS: SDs were recorded in 58.9% of patients, being more common-particularly those of isoelectric type-in patients with MMCAI (p < 0.04). At follow-up, 74.7% of patients had epileptiform abnormalities on EEG and/or seizures. A significant correlation was observed between the degree of preserved brain activity on EEG and disability severity (R [mRS]: + 0.7, R [GOS-E, Barthel]: - 0.6, p < 0.001), and between the presence of multifocal epileptiform abnormalities on EEG and more severe disability on the GOS-E at 6 months (R: - 0.3, p = 0.03) and 12 months (R: - 0.3, p = 0.05). Patients with more SDs and higher depression ratios scored worse on the GOS-E (R: - 0.4 at 6 and 12 months) and Barthel (R: - 0.4 at 6 and 12 months) disability scales (p < 0.05). The number of SDs (p = 0.064) and the depression ratio (p = 0.1) on ECoG did not show a statistically significant correlation with late epilepsy. CONCLUSIONS: SDs are common in the cortex of ischemic or traumatic penumbra. Our study suggests an association between the presence of SDs in the acute phase and worse long-term outcome, although no association with subsequent epilepsy was found. More comprehensive studies, involving ECoG and EEG could help determine their association with epileptogenesis.

Physically active men with high brown adipose tissue activity showed increased energy expenditure after caffeine supplementation.

This study measured the effect of caffeine on brown adipose tissue (BAT) activity and the energy expenditure (EE) of subjects with high (HBAT) or low (LBAT) activation. We performed a quasi-experimental double-blind protocol in which 24 physically active healthy men were measured (age: 24.1 ± 6.0 yrs; BM: 75.3 ± 14.4 kg; HT: 171.8 ± 5.9 cm; BMI: 25.5 ± 4.9 kg/m2). Infrared thermography (IRT) protocol was used to separate the participants into the groups according to the BAT activation: high (HBAT; n = 11) and low (LBAT; n = 13). All participants ingested a single supplement caffeine capsule (CAF) of 375 mg (~5 mg/kg BM) or placebo (PLA). Our experimental protocol measured two groups (HBAT and LBAT) under two conditions (CAF and PLA), with intake 30-min before the data collection. BAT activity lasted 60-min (0, 10, 20, 30, 40, 50, 60 min) and was estimated by IRT in subclavicular (Δ SCV) and external (Δ EXT) regions of interest (ROI) and EE by indirect calorimetry. The main results indicated that HBAT at 40-min showed an increased EE versus the other groups and conditions (p = 0.009). There was a significant difference for BAT activation at the 30 (p = 0.019), 40 (p = 0.009), 50 (p = 0.007) and 60 min (p = 0.012) between HBAT-CAF vs. LBAT-CAF. There was also a significant difference at the 20 (p = 0.024), 30 (p = 0.036), 50 (p = 0.05) and 60 min (p = 0.011) between HBAT-CAF vs. HBAT-PLA. In conclusion CAF intake (≈5 mg) increases the thermogenic activity of BAT in healthy young men and increases EE in HBAT subjects.

Ischemic Preconditioning and Muscle Force Capabilities.

ABSTRACT: Valenzuela, PL, Martín-Candilejo, R, Sánchez-Martínez, G, Bouzas Marins, JC, de la Villa, P, and Sillero-Quintana, M. Ischemic preconditioning and muscle force capabilities. J Strength Cond Res 35(8): 2187-2192, 2021-This study analyzed the effects of ischemic preconditioning (IPC) on muscle force capabilities. Sixteen male subjects participated in this randomized, crossover, sham-controlled study. They were assigned to either IPC (3 × 5 minutes at 220 mm Hg in both arms with 5-minute rests) or a sham intervention (SHAM) (occlusion pressure set at 10 mm Hg). Forty minutes later, their force capabilities on the bench press exercise were assessed (load-velocity relationship with light, moderate, and heavy loads [30, 50, and 70% body mass, respectively]; 1 repetition maximum [1RM]; and number of repetitions to failure in 3 sets with 60% RM). The skin temperature (Tsk) of the pectoral and biceps muscles was analyzed as a secondary endpoint by means of infrared thermography. A significant decrease in the Tsk of the pectoral and biceps muscles was observed after the intervention (p < 0.01) and before the warm-up (p < 0.05) in IPC, but not in SHAM. However, exercise resulted in a similar Tsk increase in the pectoral muscles in both conditions (p > 0.05). No significant differences (p > 0.05 for all) were observed between conditions in the mean velocity attained with light (1.11 ± 0.11 and 1.09 ± 0.14 m·s-1, respectively), moderate (0.83 ± 0.14 and 0.83 ± 0.16 m·s-1), nor heavy loads (0.56 ± 0.17 and 0.54 ± 0.16 m·s-1), in 1RM (75.0 ± 18.9 and 73.1 ± 15.0 kg for IPC and SHAM, respectively; p = 0.181), nor in the number of repetitions performed (52 ± 13 and 54 ± 16 repetitions, p = 0.492). In summary, IPC decreased Tsk locally (biceps) and remotely (pectoral). However, it did not alter muscle force capabilities nor the Tsk response to exercise.

Lactate Concentration Is Related to Skin Temperature Variation After a Specific Incremental Judo Test.

ABSTRACT: Gomes Moreira, D, José Brito, C, de Almeida Ferreira, JJ, Bouzas Marins, JC, López Díaz de Durana, A, Couceiro Canalejo, J, Butragueño Revenga, J, and Sillero-Quintana, M. Lactate concentration is related to skin temperature variation after a specific incremental judo test. J Strength Cond Res 35(8): 2213-2221, 2021-This study aimed to analyze the skin temperature (tsk) response in judokas after a specific incremental test and to determine whether anthropometric and physiological measures can be explained by the variation in mean tsk. A total of 23 male judo athletes (age: 20.1 ± 4.7 years; height: 173.1 ± 8.1 cm; and body mass: 71.7 ± 8.1 kg) performed a specific incremental judo test. Skin temperature evaluations were collected in 26 regions of interest (ROIs), and the mean tsk was calculated using an equation including 10 of them. The time points before the test (pre-test), immediately after (0 minutes), and after 5, 10, and 15 minutes of the test were established to measure the tsk, mean tsk, auricular temperature (tau), and blood lactate (LAC). The athletes completed a mean of 7.0 ± 1.0 stages of the test, 95% confidence interval (CI; 6.2-7.1). The V̇o2peak achieved was 48.7 ± 5.3 ml·kg-1·min-1, 95% CI (46.4-51.0). Compared with pre-test values, only the forehead significantly decreased 5 minutes after the test (p < 0.05). The posterior right arm and posterior left arm remained increased 10 minutes after the test (p < 0.05). After 15 minutes, 19 of the 26 ROIs analyzed were significantly decreased (p < 0.05). Among all tested models of linear regression, only 2 were significant, the difference of tsk 5 minutes compared with pre-test (F1, 21 = 16.49, p = 0.001) and the difference of tsk 10 minutes compared with pre-test, to predict LAC concentration at the end of the test (F1, 21 = 9.30, p = 0.006). We concluded that 5 minutes after the test, the judokas present a higher tau and a higher tsk in 7 ROIs, and the tsk decreases 15 minutes after the test in 19 of the considered ROIs. The variation of mean tsk 5 and 10 minutes after the test compared with pre-test values is associated with blood LAC at the end of the test.

Blood biomarkers predictive of epilepsy after an acute stroke event.

OBJECTIVE: Blood biomarkers have not been widely investigated in poststroke epilepsy. In this study, we aimed to describe clinical factors and biomarkers present during acute stroke and analyze their association with the development of epilepsy at long term. METHODS: A panel of 14 blood biomarkers was evaluated in patients with ischemic and hemorrhagic stroke. Biomarkers were normalized and standardized using Z-scores. Stroke and epilepsy-related variables were also assessed: stroke severity, determined by National Institutes of Health Stroke Scale (NIHSS) score, stroke type and cause, time from stroke to onset of late seizures, and type of seizure. Multiple Cox regression models were used to identify clinical variables and biomarkers independently associated with epilepsy. RESULTS: From a cohort of 1115 patients, 895 patients were included. Mean ± standard deviation (SD) age was 72.0 ± 13.1 years, and 57.8% of patients were men. Fifty-one patients (5.7%) developed late seizures, with a median time to onset of 232 days (interquartile range [IQR] 86-491). NIHSS score ≥8 (P < .001, hazard ratio [HR] 4.013, 95% confidence interval [CI] 2.123-7.586) and a history of early onset seizures (P < .001, HR 4.038, 95% CI 1.802-9.045) were factors independently associated with a risk of developing epilepsy. Independent blood biomarkers predictive of epilepsy were high endostatin levels >1.203 (P = .046, HR 4.300, 95% CI 1.028-17.996) and low levels of heat shock 70 kDa protein-8 (Hsc70) <2.496 (P = .006, HR 3.795, 95% CI 1.476-9.760) and S100B <1.364 (P = .001, HR 2.955, 95% CI 1.534-5.491). The risk of epilepsy when these biomarkers were combined increased to 17%. The area under the receiver-operating characteristic (ROC) curve of the predictive model was stronger when clinical variables were combined with blood biomarkers (74.3%, 95% CI 65.2%-83.3%) than when they were used alone (68.9%, 95% CI 60.3%-77.6%). SIGNIFICANCE: Downregulated S100B and Hsc70 and upregulated endostatin may assist in prediction of poststroke epilepsy and may provide additional information to clinical risk factors. In addition, these data are hypothesis-generating for the epileptogenic process.