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Risk Factors for Seizure Worsening After Epilepsy Surgery in Children and Adults: A Population-Based Register Study.

ABSTRACT: BACKGROUND:Increased seizure frequency and new-onset tonic-clonic seizures (TCS) have been reported after epilepsy surgery. OBJECTIVE:To analyze potential risk factors for these outcomes in a large cohort. METHODS:We studied prospectively collected data in the Swedish National Epilepsy Surgery Register on increased seizure frequency and new-onset TCS after epilepsy surgery 1990-2015. RESULTS:Two-year seizure outcome was available for 1407 procedures, and data on seizure types for 1372. Increased seizure frequency at follow-up compared to baseline occurred in 56 cases (4.0%) and new-onset TCS in 53 (3.9%; 6.6% of the patients without preoperative TCS). Increased frequency was more common in reoperations compared to first surgeries (7.9% vs 3.1%; P = .001) and so too for new-onset TCS (6.7% vs 3.2%; P = .017). For first surgeries, binary logistic regression was used to analyze predictors for each outcome. In univariable analysis, significant predictors for increased seizure frequency were lower age of onset, lower age at surgery, shorter epilepsy duration, preoperative neurological deficit, intellectual disability, high preoperative seizure frequency, and extratemporal procedures. For new-onset TCS, significant predictors were preoperative deficit, intellectual disability, and nonresective procedures. In multivariable analysis, independent predictors for increased seizure frequency were lower age at surgery (odds ratio (OR) 0.70 per increasing 10-yr interval, 95% CI 0.53-0.93), type of surgery (OR 0.42 for temporal lobe resections compared to other procedures, 95% CI 0.19-0.92), and for new-onset TCS preoperative neurological deficit (OR 2.57, 95% CI 1.32-5.01). CONCLUSION:Seizure worsening is rare but should be discussed when counseling patients. The identified risk factors may assist informed decision-making before surgery.

SUBMITTER: Bjellvi J

PROVIDER: S-EPMC7490157 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Risk Factors for Seizure Worsening After Epilepsy Surgery in Children and Adults: A Population-Based Register Study.

Bjellvi Johan J Edelvik Tranberg Anna A Rydenhag Bertil B Malmgren Kristina K

Neurosurgery 20200901 4

<h4>Background</h4>Increased seizure frequency and new-onset tonic-clonic seizures (TCS) have been reported after epilepsy surgery.<h4>Objective</h4>To analyze potential risk factors for these outcomes in a large cohort.<h4>Methods</h4>We studied prospectively collected data in the Swedish National Epilepsy Surgery Register on increased seizure frequency and new-onset TCS after epilepsy surgery 1990-2015.<h4>Results</h4>Two-year seizure outcome was available for 1407 procedures, and data on seiz ...[more]

PMID: 31792497

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Project description:BackgroundPeople with epilepsy are burdened with the apparent unpredictability of seizures. In the past decade, converging evidence from studies using chronic EEG (cEEG) revealed that epileptic brain activity shows robust cycles, operating over hours (circadian) and days (multidien). We hypothesised that these cycles can be leveraged to estimate future seizure probability, and we tested the feasibility of forecasting seizures days in advance.MethodsWe did a feasibility study in distinct development and validation cohorts, involving retrospective analysis of cEEG data recorded with an implanted device in adults (age ?18 years) with drug-resistant focal epilepsy followed at 35 centres across the USA between Jan 19, 2004, and May 18, 2018. Patients were required to have had 20 or more electrographic seizures (development cohort) or self-reported seizures (validation cohort). In all patients, the device recorded interictal epileptiform activity (IEA; ?6 months of continuous hourly data), the fluctuations in which helped estimate varying seizure risk. Point process statistical models trained on initial portions of each patient's cEEG data (both cohorts) generated forecasts of seizure probability that were tested on subsequent unseen seizure data and evaluated against surrogate time-series. The primary outcome was the percentage of patients with forecasts showing improvement over chance (IoC).FindingsWe screened 72 and 256 patients, and included 18 and 157 patients in the development and validation cohorts, respectively. Models incorporating information about multidien IEA cycles alone generated daily seizure forecasts for the next calendar day with IoC in 15 (83%) patients in the development cohort and 103 (66%) patients in the validation cohort. The forecasting horizon could be extended up to 3 days while maintaining IoC in two (11%) of 18 patients and 61 (39%) of 157 patients. Forecasts with a shorter horizon of 1 h, possible only for electrographic seizures in the development cohort, showed IoC in all 18 (100%) patients.InterpretationThis study shows that seizure probability can be forecasted days in advance by leveraging multidien IEA cycles recorded with an implanted device. This study will serve as a basis for prospective clinical trials to establish how people with epilepsy might benefit from seizure forecasting over long horizons.FundingNone. VIDEO ABSTRACT.

Project description:BackgroundThe incidence of ischemic stroke has been increasing in the young population over the past 20 years. Poststroke epilepsy (PSE) is a common complication after stroke. However, few population-based studies with sufficient follow-up have investigated factors associated with PSE, especially factors related to comorbidities and unhealthy lifestyles in the modern young population. Accordingly, this study aimed to determine the long-term incidence and these risk factors for PSE young adults.MethodsThis cohort study was conducted using data from the Taiwan National Health Insurance Research Database (NHIRD) from 2002 to 2018. All patients aged between 19 and 44 years and diagnosed with ischemic stroke from 2002 to 2015 were retrospectively enrolled with a follow-up of at least 3 years. Multivariable Cox regression models were performed to identify predictors of PSE, including patients' demographics, baseline conditions, stroke severity, etiologies, comorbidities, and unhealthy behaviors.ResultsAmong 6,512 ischemic stroke patients, 402 cases (6.2%) developed PSE who were with a mean follow-up period of 8.3 years (SD = 4.3 years). During the overall follow-up, stroke severity and manifestations were associated with PSE, including National Institutes of Health Stroke Scale (NIHSS) score ≥10 (aHR, 1.98; 95% CI, 1.50-2.61), seizure at first stroke admission [adjusted hazard ratio (aHR), 57.39; 95% confidence interval (CI), 43.02-76.55], length of hospital stay ≥14 days (aHR, 1.60; 95% CI, 1.26-2.02), recurrent stroke (aHR, 2.32; 95% CI, 1.85-2.90), aphasia (aHR, 1.77; 95% CI, 1.20-2.60), and malignancy (aHR, 2.05; 95% CI, 1.30-3.24). Furthermore, stroke patients with drug abuse were 2.90 times more likely to develop PSE than those without (aHR, 2.90; 95% CI, 1.53-5.50). By contrast, statin use (aHR, 0.62; 95% CI, 0.48-0.80) was associated with a lower risk of PSE. The risk factors at 1-year and 5-year PSE were similar to that of an overall follow-up.ConclusionsStroke severity, aphasia, malignancy, and drug abuse were associated increased risk of PSE and statin use may protect against PSE in young adults. Reducing the severity of stroke, statin use and controlling unhealthy behaviors might be able to decrease the development of PSE. Since PSE is associated with poor outcomes, early identification or intervention of PSE based on the risk factors might reduce the harmful effects of PSE.

Project description:ObjectivesTo summarize the clinical features of epilepsy related to DEPDC5, NPRL2, and NPRL3 genes encoding the GATOR1 complex in children and to evaluate the factors affecting the prognosis of these epilepsies.MethodsIn this retrospective study, we reviewed the clinical and genetic characteristics of children with epilepsy related to GATOR1 variants who were admitted to the Peking University First Hospital between January 2016 and December 2021. Potential prognostic factors were assessed by comparing children with and without ongoing seizures.ResultsFifty probands, including 31 boys and 19 girls were recruited. The median age at onset of epilepsy was 4 months, and 64% of patients had early-onset epilepsy (≤1 year). The most frequent epileptic seizure type was focal seizure (86%). Among the 50 patients, only six were with de novo variants. According to the novel classification framework for GATOR1 variants, 36 patients were with pathogenic variants and 14 with likely pathogenic variants. DEPDC5 variants were found in 37 patients, NPRL3 in 9, and NPRL2 in 4. The phenotype was similar among the probands, with variants in DEPDC5, NRPL2, or NPRL3. 76% (38/50) of epilepsy related to GATOR1 variants was neuroimaging positive, including brain MRI positive in 31 patients, and MRI combined F-18-fluorodeoxyglucose positron emission tomography positive in the other seven patients. Twenty-seven patients underwent epilepsy surgery. In total, after initial antiseizure medications alone, 92% (46/50) of patients were drug-resistant epilepsies, only 8% (4/50) of the probands became seizure-free but seizure-free (≥6 m) occurred in 92.6% (25/27) of patients with drug-resistant epilepsy after epilepsy surgery at the last follow-up. Patients undergoing epilepsy surgery had better epilepsy prognosis.SignificanceEpilepsy related to GATOR1 variants had high possibility to be drug-resistant epilepsy and to have positive neuroimaging finding. Epilepsy surgery is the only favorable factor for better seizure prognosis in this kind epilepsy.

Project description:ObjectiveTo perform a systematic review and individual participant data meta-analysis to identify preoperative factors associated with a good seizure outcome in children with Tuberous Sclerosis Complex undergoing resective epilepsy surgery.Data sourcesElectronic databases (MEDLINE, EMBASE, CINAHL and Web of Science), archives of major epilepsy and neurosurgery meetings, and bibliographies of relevant articles, with no language or date restrictions.Study selectionWe included case-control or cohort studies of consecutive participants undergoing resective epilepsy surgery that reported seizure outcomes. We performed title and abstract and full text screening independently and in duplicate. We resolved disagreements through discussion.Data extractionOne author performed data extraction which was verified by a second author using predefined data fields including study quality assessment using a risk of bias instrument we developed. We recorded all preoperative factors that may plausibly predict seizure outcomes.Data synthesisTo identify predictors of a good seizure outcome (i.e. Engel Class I or II) we used logistic regression adjusting for length of follow-up for each preoperative variable.ResultsOf 9863 citations, 20 articles reporting on 181 participants were eligible. Good seizure outcomes were observed in 126 (69%) participants (Engel Class I: 102(56%); Engel class II: 24(13%)). In univariable analyses, absence of generalized seizure semiology (OR = 3.1, 95%CI = 1.2-8.2, p = 0.022), no or mild developmental delay (OR = 7.3, 95%CI = 2.1-24.7, p = 0.001), unifocal ictal scalp electroencephalographic (EEG) abnormality (OR = 3.2, 95%CI = 1.4-7.6, p = 0.008) and EEG/Magnetic resonance imaging concordance (OR = 4.9, 95%CI = 1.8-13.5, p = 0.002) were associated with a good postoperative seizure outcome.ConclusionsSmall retrospective cohort studies are inherently prone to bias, some of which are overcome using individual participant data. The best available evidence suggests four preoperative factors predictive of good seizure outcomes following resective epilepsy surgery. Large long-term prospective multicenter observational studies are required to further evaluate the risk factors identified in this review.

Dataset Information

Risk Factors for Seizure Worsening After Epilepsy Surgery in Children and Adults: A Population-Based Register Study.

Publications

Risk Factors for Seizure Worsening After Epilepsy Surgery in Children and Adults: A Population-Based Register Study.

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