Dataset Information

Frequency of post-stroke electroencephalographic epileptiform activity - a systematic review and meta-analysis of observational studies.

ABSTRACT: Introduction:Cerebrovascular diseases are the most frequent risk factor for epilepsy in the elderly, and epileptic phenomenon following stroke is known to worsen the prognosis. Although electroencephalography is the gold standard epilepsy biomarker, it is rarely used in post-stroke studies, and the frequency of post-stroke epileptiform activity is still uncertain. Patients and methods:We analysed studies indexed to MEDLINE, Embase, Web of Science, PsycINFO and OpenGrey (up to March 2015), reporting post-stroke electroencephalographic epileptiform activity frequency in adults. Epileptiform activity was classified as ictal (electrographic seizures) and interictal (non-periodic spikes and sharp waves). Data selection, extraction and appraisal were done in duplicate. Random-effects meta-analysis was used to pool frequencies. Results:The pooled frequency of post-stroke ictal and interictal epileptiform activity was 7% (95% CI 3%-12%) and 8% (95% CI 4%-13%), respectively. The use of continuous electroencephalogram was not associated with an increased frequency of electrographic seizures (p = 0.05), nor did the management setting (Intensive Care Unit versus non- Intensive Care Unit, p = 0.31). However, studies with continuous electroencephalogram showed a higher frequency of interictal epileptiform activity (p = 0.01). Discussion:This study provides the best available estimates of the frequency of post-stroke electroencephalographic epileptiform activity. Due to detection bias, it was not possible to correlate clinical and electrographic seizures. Conclusion:The frequency of ictal and interictal epileptiform activity in the electroencephalogram was comparable with previous frequency analyses of clinical seizures. The frequency of ictal epileptiform activity did not change with continuous record or clinical setting, while the frequency of interictal epileptiform activity increased with continuous record.

SUBMITTER: Bentes C

PROVIDER: S-EPMC6453191 | biostudies-other | 2017 Dec

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Frequency of post-stroke electroencephalographic epileptiform activity - a systematic review and meta-analysis of observational studies.

Bentes Carla C Rodrigues Filipe B FB Sousa Diana D Duarte Gonçalo S GS Franco Ana C AC Marques Raquel R Nzwalo Hipólito H Peralta Ana R AR Ferro José M JM Costa João J

European stroke journal 20170913 4

<h4>Introduction</h4>Cerebrovascular diseases are the most frequent risk factor for epilepsy in the elderly, and epileptic phenomenon following stroke is known to worsen the prognosis. Although electroencephalography is the gold standard epilepsy biomarker, it is rarely used in post-stroke studies, and the frequency of post-stroke epileptiform activity is still uncertain.<h4>Patients and methods</h4>We analysed studies indexed to MEDLINE, Embase, Web of Science, PsycINFO and OpenGrey (up to Marc ...[more]

PMID: 31008328

Similar Datasets

Project description:BackgroundDepression is the most frequent psychiatric condition after stroke and is associated with negative health outcomes. We aim to undertake a systematic review and meta-analysis of the prevalence and natural history of depression after stroke.Methods and findingsStudies published up to 4 November 2022 on Medline, Embase, PsycINFO, and Web of Science Core Collection were searched. We included studies of adults with stroke, where depression was assessed at a prespecified time point. Studies excluding people with aphasia and history of depression are excluded. Critical Appraisal Skills Programme(CASP) cohort study tool was used to assess risk of bias. A total of 77 studies were included in the pooled estimates of the prevalence of poststroke depression (PSD). The overall prevalence of depression was 27% (95% CI 25 to 30). Prevalence of depression was 24% (95% CI 21 to 28) by clinical interview and 29% (95% CI 25 to 32) by rating scales. Twenty-four studies with more than one assessment time point reported the natural history of PSD. Among people who were depressed within 3 months of stroke, 53% (95% CI 47 to 59) experienced persistent depression, while 44% (95% CI 38 to 50) recovered. The incidence of later depression (3 to 12 months after stroke) was 9% (95% CI 7 to 12). The cumulative incidence during 1 year after stroke was 38% (95% CI 33 to 43), and the majority (71% (95% CI 65 to 76)) of depression had onset within 3 months after stroke. The main limitation of the present study is that excluding people in source studies with severe impairments may produce imprecise estimates of the prevalence of PSD.ConclusionsIn this study, we observed that stroke survivors with early-onset depression (within 3 months after stroke) are at high risks for remaining depressed and make up two-thirds of the incident cases during 1 year after stroke. This highlights the need for ongoing clinical monitoring of patients depressed shortly after stroke.Trial registrationPROSPERO CRD42022314146.

Project description:BackgroundAcupuncture for post-stroke depression (PSD) has been evolving, but uncertainty remains. To assess the existing evidence from randomized clinical trials (RCTs) of acupuncture for PSD, we sought to draw conclusions by synthesizing RCTs.MethodsAn exhaustive literature search was conducted in seven electronic databases from their inception dates to April 19, 2020, to identify systematic reviews (SRs) and meta-analyses (MAs) on this topic. The primary RCTs included in the SRs/MAs were identified. We also conducted a supplementary search for RCTs published from January 1, 2015, to May 12, 2020. Two reviewers extracted data separately and pooled data using RevMan 5.3 software. The quality of evidence was critically appraised with the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) system.ResultsA total of 17 RCTs involving 1402 patients were included. Meta-analysis showed that participants who received a combination of acupuncture and conventional treatments exhibited significantly lower scores on the HAM-D17, HAM-D24 and HAM-D (MD, - 5.08 [95% CI, - 6.48 to - 3.67], I2 = 0%), (MD, - 9.72 [95% CI, - 14.54 to - 4.91], I2 = 65%) and (MD, - 2.72 [95% CI, - 3.61 to - 1.82], respectively) than those who received conventional treatment. However, there was no significant difference in acupuncture versus antidepressants in terms of the 17-item, 24-item and HAM-D scales (MD, - 0.43 [95% CI, - 1.61 to 0.75], I2 = 51%), (MD, - 3.09 [95% CI, - 10.81 to 4.63], I2 = 90%) and (MD, - 1.55 [95% CI, - 4.36 to 1.26], I2 = 95%, respectively). For adverse events, acupuncture was associated with fewer adverse events than antidepressants (RR, 0.16 [95% CI, 0.07 to 0.39], I2 = 35%), but there was no significant difference in the occurrence of adverse events between the combination of acupuncture and conventional treatments versus conventional treatments (RR, 0.63 [95% CI, 0.21 to 1.83], I2 = 38%). The quality of evidence was low to very low due to the substantial heterogeneity among the included studies.ConclusionsThe current review indicates that acupuncture has greater effect on PSD and better safety profile than antidepressants, but high-quality evidence evaluating acupuncture for PSD is still needed.

Project description:BackgroundFatigue is a common and disabling symptom following stroke, but its underlying mechanisms are unknown. Associations with a number of imaging features have been proposed.AimsWe aimed to assess whether neuroimaging parameters could better inform our understanding of possible causes of post-stroke fatigue (PSF) through systematic review and meta-analysis.MethodsUsing a predefined protocol registered with PROSPERO (ID: CRD42022303168), we searched EMBASE, MEDLINE, PubMed, and PsycInfo for studies assessing PSF and computerized tomography (CT), magnetic resonance (MR), positron emission tomography (PET) imaging, or diffusion tensor imaging (DTI). We extracted neuroimaging parameters and narratively analyzed study results to assess any association with PSF. Where there were 3+ similar studies, we carried out a meta-analysis using inverse-variance random-effects model to estimate the total association of each neuroimaging parameter on PSF. The risk of bias was assessed using the Newcastle and Ottawa Scale.ResultsWe identified 46 studies (N = 6543); in many studies, associations with fatigue were secondary or subanalyses (28.3%). Imaging parameters were assessed across eight variables: lesion lateralization, lesion location, lesion volume, brain atrophy, infarct number, cerebral microbleeds, white matter hyperintensities (WMHs), and network measures. Most variables showed no conclusive evidence for any association with fatigue. Meta-analysis, where possible, showed no association of the following with PSF; left lesion lateralization (OR: 0.88, 95% CI (0.64, 1. 22) (p = 0.45)), infratentorial lesion location (OR: 1.83, 95% CI (0.63, 5.32) (p = 0.27)), and WMH (OR: 1.21, 95% CI (0.84, 1.75) (p = 0.29)). Many studies assessed lesion location with mixed findings; only one used voxel-symptom lesion-mapping (VSLM). Some small studies suggested an association between altered functional brain networks, namely frontal, fronto-striato-thalamic, and sensory processing networks, with PSF.ConclusionThere was little evidence for the association between any neuroimaging parameters and PSF. Future studies should utilize advanced imaging techniques to fully understand the role of lesion location in PSF, while the role of altered brain networks in mediating PSF merits further research.

Dataset Information

Frequency of post-stroke electroencephalographic epileptiform activity - a systematic review and meta-analysis of observational studies.

Publications

Frequency of post-stroke electroencephalographic epileptiform activity - a systematic review and meta-analysis of observational studies.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets