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      Early EEG predicts poststroke epilepsy

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Summary

          Objective

          Electroencephalography (EEG) can identify biomarkers of epileptogenesis and ictogenesis. However, few studies have used EEG in the prediction of poststroke seizures. Our primary aim was to evaluate whether early EEG abnormalities can predict poststroke epilepsy.

          Methods

          A prospective study of consecutive acute anterior circulation ischemic stroke patients, without previous epileptic seizures, who were admitted to a stroke unit over 24 months and followed for 1 year. All patients underwent standardized clinical and diagnostic assessment during the hospital stay and after discharge. Video‐ EEG was performed in the first 72 h (first EEG), daily for the first 7 days, in case of neurological deterioration, at discharge, and at 12 months after stroke. The occurrence of epileptic seizures in the first year after stroke (primary outcome) was evaluated clinically and neurophysiologically during the hospital stay and at 12 months. A telephone interview was also performed at 6 months. The primary outcome was the occurrence of at least one unprovoked seizure (poststroke epilepsy). Secondary outcomes were the occurrence of at least one acute symptomatic seizure and (interictal and/or ictal) epileptiform activity on at least one EEG during the hospital stay for acute stroke. The first EEG variables were defined using international criteria/terminology. Bivariate and multivariate analyses with adjustment for age, admission National Institutes of Health Stroke Scale ( NIHSS) score, and Alberta Stroke Program Early CT Score (ASPECTS) were performed.

          Results

          A total of 151 patients were included; 38 patients (25.2%) had an acute symptomatic seizure and 23 (16%) had an unprovoked seizure.

          The first EEG background activity asymmetry and first EEG with interictal epileptiform activity were independent predictors of poststroke epilepsy during the first year after stroke ( P = 0.043 and P = 0.043, respectively). No EEG abnormality independently predicted acute symptomatic seizures. However, the presence of periodic discharges on the first EEG was an independent predictor of epileptiform activity (p = 0.009) during the hospital stay.

          Significance

          An early poststroke EEG can predict epilepsy in the first year after stroke, independently from clinical and imaging‐based infarct severity.

          Related collections

          Most cited references 27

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          Classification and natural history of clinically identifiable subtypes of cerebral infarction.

          We describe the incidence and natural history of four clinically identifiable subgroups of cerebral infarction in a community-based study of 675 patients with first-ever stroke. Of 543 patients with a cerebral infarct, 92 (17%) had large anterior circulation infarcts with both cortical and subcortical involvement (total anterior circulation infarcts, TACI); 185 (34%) had more restricted and predominantly cortical infarcts (partial anterior circulation infarcts, PACI); 129 (24%) had infarcts clearly associated with the vertebrobasilar arterial territory (posterior circulation infarcts, POCI); and 137 (25%) had infarcts confined to the territory of the deep perforating arteries (lacunar infarcts, LACI). There were striking differences in natural history between the groups. The TACI group had a negligible chance of good functional outcome and mortality was high. More than twice as many deaths were due to the complications of immobility than to direct neurological sequelae of the infarct. Patients in the PACI group were much more likely to have an early recurrent stroke than were patients in other groups. Those in the POCI group were at greater risk of a recurrent stroke later in the first year after the index event but had the best chance of a good functional outcome. Despite the small anatomical size of the infarcts in the LACI group, many patients remained substantially handicapped. The findings have important implications for the planning of stroke treatment trials and suggest that various therapies could be directed specifically at the subgroups.
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            Which EEG patterns warrant treatment in the critically ill? Reviewing the evidence for treatment of periodic epileptiform discharges and related patterns.

            Continuous electroencephalographic monitoring in critically ill patients has improved detection of nonconvulsive seizures and periodic discharges, but when and how aggressively to treat these electrographic patterns is unclear. A review of the literature was conducted to understand the nature of periodic discharges and the strength of the data on which management recommendations have been based. Periodic discharges are seen from a wide variety of etiologies, and the discharges themselves are electrographically heterogeneous. This spectrum suggests a need to consider these phenomena along a continuum between interictal and ictal, but more important clinically is the need to consider the likelihood of neuronal injury from each type of discharge in a given clinical setting. Recommendations for treatment are given, and a modification to current criteria for the diagnosis of nonconvulsive seizures is suggested.
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              • Article: not found

              Functional recovery after ischemic stroke--a matter of age: data from the Austrian Stroke Unit Registry.

              To analyze the association between patient age and good functional outcome after ischemic stroke with special focus on young patients who were numerically underrepresented in previous evaluations. Of 43,163 ischemic stroke patients prospectively enrolled in the Austrian Stroke Unit Registry, 6,084 (14.1%) were ≤55 years old. Functional outcome was available in a representative subsample of 14,256 patients free of prestroke disability, 2,223 of whom were 55 years or younger. Herein we analyzed the effects of age on good functional outcome 3 months after stroke (modified Rankin Scale score ≤2). Good outcome was achieved in 88.2% (unadjusted probability) of young stroke patients (≤55 years). In multivariable analysis, age emerged as a significant predictor of outcome independent of stroke severity, etiology, performance of thrombolysis, sex, risk factors, and stroke complications. When the age stratum 56-65 years was used as a reference, odds ratios (95% confidence interval [95% CI]) of good outcome were 3.4 (1.9-6.4), 2.2 (1.6-3.2), and 1.5 (1.2-1.9) for patients aged 18-35, 36-45, and 46-55 years and 0.70 (0.60-0.81), 0.32 (0.28-0.37), and 0.18 (0.14-0.22) for those aged 66-75, 76-85, and >85 years (p < 0.001). In absolute terms, the regression-adjusted probability of good outcome was highest in the age group 18-35 years and gradually declined by 3.1%-4.2% per decade until age 75 with a steep drop thereafter. Findings applied equally to sexes and patients with and without IV thrombolysis or diabetes. Age emerged as a highly significant inverse predictor of good functional outcome after ischemic stroke independent of stroke severity, characteristics, and complications with the age-outcome association exhibiting a nonlinear scale and extending to young stroke patients.
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                Author and article information

                Contributors
                ccbentes@gmail.com
                Journal
                Epilepsia Open
                Epilepsia Open
                10.1002/(ISSN)2470-9239
                EPI4
                Epilepsia Open
                John Wiley and Sons Inc. (Hoboken )
                2470-9239
                07 March 2018
                June 2018
                : 3
                : 2 ( doiID: 10.1002/epi4.2018.3.issue-2 )
                : 203-212
                Affiliations
                [ 1 ] EEG/Sleep Laboratory / Stroke Unit Department of Neurosciences and Mental Health (Neurology) Santa Maria Hospital ‐ North Lisbon Hospitalar Centre Lisbon Portugal
                [ 2 ] Faculty of Medicine University of Lisbon Lisbon Portugal
                [ 3 ] Department of Medicine São José Hospital ‐ Central Lisbon Hospitalar Centre Lisbon Portugal
                [ 4 ] Department of Neuroradiology Santa Maria Hospital ‐ North Lisbon Hospitalar Centre Lisbon Portugal
                [ 5 ] Eletroencefalography and Clinic Neurophysiology Centre (CENC) Lisbon Portugal
                Author notes
                [* ]Address correspondence to Carla Bentes, Laboratory of EEG/Sleep, Department of Neuroscience and Mental Health (Neurology), Hospital de Santa Maria ‐ Centro Hospitalar Lisboa Norte, Avenida Professor Egas Moniz, 1649‐035 Lisboa, Portugal. E‐mail: ccbentes@ 123456gmail.com
                Article
                EPI412103
                10.1002/epi4.12103
                5983181
                © 2018 The Authors. Epilepsia Open published by Wiley Periodicals Inc. on behalf of International League Against Epilepsy.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                Page count
                Figures: 1, Tables: 4, Pages: 10, Words: 7147
                Product
                Funding
                Funded by: 2012 Research Grant in Cerebrovascular Diseases (scientific promoter: Stroke Portuguese Society (SPAVC) – Sponsor: Tecnifar)
                Categories
                Full‐Length Original Research
                Full‐length Original Research
                Custom metadata
                2.0
                epi412103
                June 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.4.0 mode:remove_FC converted:01.06.2018

                eeg, ischemic stroke, epileptic seizures, prediction

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