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In the last decades, there has been great progress in the field of stroke. With the introduction of acute therapies (intravenous thrombolysis and intra-arterial treatment), the outcome after stroke has improved significantly. Better prevention, improved acute therapy, and acute rehabilitation improved the morbidity and mortality rate after stroke. Gender differences in risk factors and epidemiology have been known for a long time, but lately attention to gender differences in stroke has increased. The aim of this mini-review is to demonstrate gender disparities in stroke with a focus on epidemiology, specific risk factors (gender-specific and unspecific), and outcomes. The influence of some risk factors for stroke is stronger in women (atrial fibrillation and hypertension) and there are risk factors exclusive to women such as pregnancy, pregnancy-associated hypertensive disorders, oral contraceptives, and hormonal replacement treatment. Data on the impact of other risk factors are inconsistent. The worse outcome after a stroke is mainly caused by demographic characteristics in women. Specific gender research is needed to better understand gender disparities in stroke to improve prevention strategies and treatment for women.

Prediction of long-term disability in patients with multiple sclerosis (MS) is essential. Magnetic resonance imaging (MRI) measurement of brain volume may be of predictive value but sophisticated MRI techniques are often inaccessible in clinical practice. The corpus callosum index (CCI) is a normalized measurement that reflects changes of brain volume. We investigated medical records and 533 MRI scans at diagnosis and during clinical follow-up of 169 MS patients (mean age 42 ± 11 years, 86% relapsing-remitting MS, time since first relapse 11 ± 9 years). CCI at diagnosis was 0.345 ± 0.04 and correlated with duration of disease ( p  = 0.002; r  = −0.234) and expanded disability status scale (EDSS) score at diagnosis ( r  = −0.428; p  < 0.001). Linear regression analyses identified age, duration of disease, relapse rate and EDSS at diagnosis as independent predictors for disability after mean of 7.1 years (Nagelkerkes’ R:0.56). Annual CCI decrease was 0.01 ± 0.02 (annual tissue loss: 1.3%). In secondary progressive MS patients, CCI decrease was double compared to that in relapsing-remitting MS patients ( p  = 0.04). There was a trend of greater CCI decrease in untreated patients compared to those who received disease modifying drugs ( p  = 0.2). CCI is an easy to use MRI marker for estimating brain atrophy in patients with MS. Brain atrophy as measured with CCI was associated with disability progression but it was not an independent predictor of long-term disability.

Cognitive impairment (CI) can be demonstrated in 40–65% of multiple sclerosis (MS) patients, sometimes starting from the early stages of the disease. The objective of this study was a community-based investigation of FLAIR-hyperintense lesion volumes (LV) and their association with CI in patients with relapsing remitting (RR) MS. The neurocognitive assessment was conducted with the brief cognitive screening instrument, MUSIC. Magnetic resonance imaging (MRI) scans were obtained with a 1.5Tesla Sigma Magnetom MRI scanner. We conducted a stepwise multiple regression analysis to assess the relative contribution of the main clinical, demographic and MRI-variables in predicting cognitive impairment. We recruited 78 patients with RRMS. The mean MUSIC score was 20.6±5.4. Forty five percent of patients (n=35, mean score 15.1±3.3) had CI and 55% (n=43, mean score 24.4±2.5) had no sign of CI. In the correlation analysis of the MUSIC subtests only the interference test correlated negatively with the LV (r=−0.23). Multivariate linear regression analysis using MUSIC as the dependent continuous variable revealed LV and disability severity as independent factors associated with MUSIC (p value of the regression model<0.001; adjusted R-square=0.11). The results of the present study suggest an association between white matter damage and CI in MS. We could demonstrate an association between attention difficulties and the LV in MS patients. Trial Registration: ClinicalTrials.gov Identifier: NCT01250665 and NCT01250678.

Stroke is one of the leading causes of acquired epilepsy in adults. An instrument to predict whether people are at high risk of developing post-stroke seizures is not available. We aimed to develop and validate a prognostic model of late (>7 days) seizures after ischaemic stroke. In this multivariable prediction model development and validation study, we developed the SeLECT score based on five clinical predictors in 1200 participants who had an ischaemic stroke in Switzerland using backward elimination of a multivariable Cox proportional hazards model. We externally validated this score in 1169 participants from three independent international cohorts in Austria, Germany, and Italy, and assessed its performance with the concordance statistic and calibration plots. Data were complete for 99·2% of the predictors (99·2% for Switzerland, 100% for Austria, 97% for Germany, and 99·7% for Italy) and 100% of the outcome parameters. Overall, the risk of late seizures was 4% (95% CI 4–5) 1 year after stroke and 8% (6–9) 5 years after stroke. The final model included five variables and was named SeLECT on the basis of the first letters of the included parameters (severity of stroke, large-artery atherosclerotic aetiology, early seizures, cortical involvement, and territory of middle cerebral artery involvement). The lowest SeLECT value (0 points) was associated with a 0·7% (95% CI 0·4–1·0) risk of late seizures within 1 year after stroke (1·3% [95% CI 0·7–1·8] within 5 years), whereas the highest value (9 points) predicted a 63% (42–77) risk of late seizures within 1 year (83% [62–93] within 5 years). The model had an overall concordance statistic of 0·77 (95% CI 0·71–0·82) in the validation cohorts. Calibration plots indicated high agreement of predicted and observed outcomes. This easily applied instrument was shown to be a good predictor of the risk of late seizures after stroke in three external validation cohorts and is freely available as a smartphone app. The SeLECT score has the potential to identify individuals at high risk of seizures and is a step towards more personalised medicine. It can inform the selection of an enriched population for antiepileptogenic treatment trials and will guide the recruitment for biomarker studies of epileptogenesis. None.

Evidence for the comparative teratogenic risk of antiepileptic drugs is insufficient, particularly in relation to the dosage used. Therefore, we aimed to compare the occurrence of major congenital malformations following prenatal exposure to the eight most commonly used antiepileptic drugs in monotherapy. We did a longitudinal, prospective cohort study based on the EURAP international registry. We included data from pregnancies in women who were exposed to antiepileptic drug monotherapy at conception, prospectively identified from 42 countries contributing to EURAP. Follow-up data were obtained after each trimester, at birth, and 1 year after birth. The primary objective was to compare the risk of major congenital malformations assessed at 1 year after birth in offspring exposed prenatally to one of eight commonly used antiepileptic drugs (carbamazepine, lamotrigine, levetiracetam, oxcarbazepine, phenobarbital, phenytoin, topiramate, and valproate) and, whenever a dose dependency was identified, to compare the risks at different dose ranges. Logistic regression was used to make direct comparisons between treatments after adjustment for potential confounders and prognostic factors. Between June 20, 1999, and May 20, 2016, 7555 prospective pregnancies met the eligibility criteria. Of those eligible, 7355 pregnancies were exposed to one of the eight antiepileptic drugs for which the prevalence of major congenital malformations was 142 (10·3%) of 1381 pregnancies for valproate, 19 (6·5%) of 294 for phenobarbital, eight (6·4%) of 125 for phenytoin, 107 (5·5%) of 1957 for carbamazepine, six (3·9%) of 152 for topiramate, ten (3·0%) of 333 for oxcarbazepine, 74 (2·9%) of 2514 for lamotrigine, and 17 (2·8%) of 599 for levetiracetam. The prevalence of major congenital malformations increased with the dose at time of conception for carbamazepine (p=0·0140), lamotrigine (p=0·0145), phenobarbital (p=0·0390), and valproate (p<0·0001). After adjustment, multivariable analysis showed that the prevalence of major congenital malformations was significantly higher for all doses of carbamazepine and valproate as well as for phenobarbital at doses of more than 80 mg/day than for lamotrigine at doses of 325 mg/day or less. Valproate at doses of 650 mg/day or less was also associated with increased risk of major congenital malformations compared with levetiracetam at doses of 250–4000 mg/day (odds ratio [OR] 2·43, 95% CI 1·30–4·55; p=0·0069). Carbamazepine at doses of more than 700 mg/day was associated with increased risk of major congenital malformations compared with levetiracetam at doses of 250–4000 mg/day (OR 2·41, 95% CI 1·33–4·38; p=0·0055) and oxcarbazepine at doses of 75–4500 mg/day (2·37, 1·17–4·80; p=0·0169). Different antiepileptic drugs and dosages have different teratogenic risks. Risks of major congenital malformation associated with lamotrigine, levetiracetam, and oxcarbazepine were within the range reported in the literature for offspring unexposed to antiepileptic drugs. These findings facilitate rational selection of these drugs, taking into account comparative risks associated with treatment alternatives. Data for topiramate and phenytoin should be interpreted cautiously because of the small number of exposures in this study. Bial, Eisai, GlaxoSmithKline, Janssen-Cilag, Novartis, Pfizer, Sanofi-Aventis, UCB, the Netherlands Epilepsy Foundation, and Stockholm County Council.

Ischaemic stroke (IS) in young adults has been increasingly recognized as a serious health condition. Stroke aetiology is different in young adults than in the older population. This study aimed to investigate aetiology and risk factors, and to search for predictors of outcome and recurrence in young IS patients. We conducted a prospective multicentre study of consecutive IS patients aged 16–55 years. Baseline demographic data, risk factors, stroke aetiology including systematic genetic screening for Fabry disease and severity were assessed and related to functional neurological outcome (modified Rankin Scale, mRS), case fatality, employment status, place of residence, and recurrent cerebrovascular events at 3 months. In 624 IS patients (60 % men), median age was 46 (IQR 39–51) years and median NIHSS on admission 3 (IQR 1–8). Modifiable vascular risk factors were found in 73 %. Stroke aetiology was mostly cardioembolism (32 %) and of other defined origin (24 %), including cervicocerebral artery dissection (17 %). Fabry disease was diagnosed in 2 patients (0.3 %). Aetiology remained unknown in 20 %. Outcome at 3 months was favourable (mRS 0–1) in 61 % and fatal in 2.9 %. Stroke severity ( p  < 0.001) and diabetes mellitus ( p  = 0.023) predicted unfavourable outcome. Stroke recurrence rate at 3 months was 2.7 %. Previous stroke or TIA predicted recurrent cerebrovascular events ( p  = 0.012). In conclusion, most young adults with IS had modifiable vascular risk factors, emphasizing the importance of prevention strategies. Outcome was unfavourable in more than a third of patients and was associated with initial stroke severity and diabetes mellitus. Previous cerebrovascular events predicted recurrent ones.

BackgroundIn addition to other stroke-related deficits, the risk of seizures may impact driving ability after stroke.MethodsWe analysed data from a multicentre international cohort, including 4452 adults with acute ischaemic stroke and no prior seizures. We calculated the Chance of Occurrence of Seizure in the next Year (COSY) according to the SeLECT2.0 prognostic model. We considered COSY<20% safe for private and <2% for professional driving, aligning with commonly used cut-offs.ResultsSeizure risks in the next year were mainly influenced by the baseline risk-stratified according to the SeLECT2.0 score and, to a lesser extent, by the poststroke seizure-free interval (SFI). Those without acute symptomatic seizures (SeLECT2.0 0–6 points) had low COSY (0.7%–11%) immediately after stroke, not requiring an SFI. In stroke survivors with acute symptomatic seizures (SeLECT2.0 3–13 points), COSY after a 3-month SFI ranged from 2% to 92%, showing substantial interindividual variability. Stroke survivors with acute symptomatic status epilepticus (SeLECT2.0 7–13 points) had the highest risk (14%–92%).ConclusionsPersonalised prognostic models, such as SeLECT2.0, may offer better guidance for poststroke driving decisions than generic SFIs. Our findings provide practical tools, including a smartphone-based or web-based application, to assess seizure risks and determine appropriate SFIs for safe driving.

Fatigue is one of the most disabling symptoms in multiple sclerosis (MS) patients. There is no or only weak correlation between conventional magnetic resonance imaging (MRI) parameters and level of fatigue. The aim of this study was to investigate the relationship between progression of corpus callosum (CC) atrophy and fatigue in MS patients. This was a cohort study in 70 patients with relapsing form of MS (RRMS) and serial MRIs over a mean follow-up of 4.8 years [67% female, mean age 42 ± 11 years, mean disease duration 9.7 ± 7.6 years, mean Expanded Disability Status Scale (EDSS) 2.8 ± 1.6]. Fatigue was assessed by the Fatigue Severity Scale (FSS). CC size was measured with the CC index (CCI). In total, 40% of the patients suffered from fatigue (mean FSS score 5.3 ±1.1) and 60% patients had no fatigue (mean FSS score of 2.1 ± 1). Patients with fatigue had higher EDSS scores ( p  = 0.01) and CC atrophy was more pronounced in patients with fatigue (−21.8 vs. −12.1%, p  = 0.005). FSS correlated with CCI change over time ( r  = −0.33; p  = 0.009) and EDSS ( p  = 0.008; r  = 0.361). The association between annualized CCI change and FSS was independent from EDSS, disease duration, gender and age in a multivariate linear regression analysis ( p  < 0.001). Progression of CC atrophy may play a role in the evolution of MS-related fatigue.

Background: Natalizumab is a humanized monoclonal antibody directed against very late activation antigen 4 (VLA-4) and has a potent effect on disease activity in multiple sclerosis. Blockade of VLA-4 with natalizumab may not only interfere with autoimmunological mechanisms but also with central nervous system immune surveillance. Methods: Longitudinal ex vivo and in vitro study to determine the effect of natalizumab on the frequency of distinct immune cells and on the frequency and suppressive function of natural CD4+CD25+ regulatory T cells (Tregs). Results: Natalizumab binding to VLA-4 was more marked for B cells than for T cells (49% reduction in VLA-4-expressing B cells compared to 24.5% reduction of T cells). There was an increase in circulating B cells over T cells (2.6 vs. 1.5 fold, p < 0.001). Natural killer cells increased 1.5-fold (p = 0.01). Natalizumab led to a relative decrease in CD4+CD25+ Tregs from 18.9 to 14.1% (p = 0.04). The impaired suppressive capacity of Tregs was not restored. Conclusion: Natalizumab reduces VLA-4 expression on all investigated immune cells, but changes were most marked for B cells. Further differential effects on immune cells may be relevant to opportunistic central nervous system infections during treatment with natalizumab.

The objective is to prospectively investigate short- and mid-term changes of heart rate variability (HRV) in patients with relapsing–remitting multiple sclerosis (RRMS), being started on fingolimod. In this prospective clinical trial, patient ( n  = 33) with RRMS starting treatment with fingolimod underwent a time-domain-based analysis of HRV (breathing at rest, deep breath, and in response to the Valsalva maneuver) shortly before, 4.5 h and 3 months after first intake. Blood pressure changes after the Valsalva maneuver were used as a marker of the sympathetic noradrenergic system. We used a non-invasive continuous beat-to-beat heart rate and blood pressure monitoring. In addition, the Fatigue Severity Scale and the refined and abbreviated Composite Autonomic Symptom Score were applied. Significant changes in HRV in RRMS patients, following treatment with fingolimod, were detected. After an initial increase in HRV, measured 4.5 h after the first intake of fingolimod, a substantial decrease in HRV occurred within 3 months on continuous treatment. There is a growing body of evidence for short-term cardiovascular side effects in continuous treatment with fingolimod, driven by the ANS. The mechanisms and the clinical relevance of the observed changes in HRV need further evaluation, especially in longer and larger prospective studies.