Literature DB >> 23583115

Early predictors of outcome in newly diagnosed epilepsy.

Rajiv Mohanraj1, Martin J Brodie.   

Abstract

Longitudinal studies of newly diagnosed epilepsy in children and adults have identified prognostic factors that allow early identification of patients whose seizures are likely to remain uncontrolled with antiepileptic medication. Results from outcome studies may be subject to bias, depending on the setting (community versus clinic), design (retrospective versus prospective) and characteristics of the patient cohort studied (age, types of epilepsy, specific comorbidities). Nevertheless, factors such as early response to medication, underlying aetiology, and number of seizures prior to initiation of treatment have consistently been found to be predictive of seizure outcomes. Other variables such as age, electroencephalographic findings and the presence or absence of psychiatric co-morbidities have been correlated with outcomes in some analyses. This review has examined studies of seizure outcomes in adults and children with newly diagnosed epilepsy identifying the risk factors that are associated with subsequent refractory epilepsy.
Copyright © 2013 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23583115     DOI: 10.1016/j.seizure.2013.02.002

Source DB:  PubMed          Journal:  Seizure        ISSN: 1059-1311            Impact factor:   3.184


  20 in total

1.  Meta-analyses of antiepileptic drugs for refractory partial (focal) epilepsy: an observation.

Authors:  Martin J Brodie
Journal:  Br J Clin Pharmacol       Date:  2013-11       Impact factor: 4.335

2.  Treatment Outcomes in Patients With Newly Diagnosed Epilepsy Treated With Established and New Antiepileptic Drugs: A 30-Year Longitudinal Cohort Study.

Authors:  Zhibin Chen; Martin J Brodie; Danny Liew; Patrick Kwan
Journal:  JAMA Neurol       Date:  2018-03-01       Impact factor: 18.302

3.  Long-term follow-up of a large cohort with focal epilepsy of unknown cause: deciphering their clinical and prognostic characteristics.

Authors:  Arife Çimen Atalar; Ebru Nur Vanlı-Yavuz; Ebru Yılmaz; Nerses Bebek; Betül Baykan
Journal:  J Neurol       Date:  2019-12-02       Impact factor: 4.849

Review 4.  Impact of predictive, preventive and precision medicine strategies in epilepsy.

Authors:  Rima Nabbout; Mathieu Kuchenbuch
Journal:  Nat Rev Neurol       Date:  2020-10-19       Impact factor: 42.937

5.  Comparison of Long-Term Outcomes of Monotherapy and Polytherapy in Seizure-Free Patients With Epilepsy Following Antiseizure Medication Withdrawal.

Authors:  Yuxuan Wang; Li Xia; Rong Li; Yudan Li; Jingyi Li; Qin Zhou; Songqing Pan
Journal:  Front Neurol       Date:  2021-05-24       Impact factor: 4.003

6.  Idiopathic epilepsy in the Italian Spinone in the United Kingdom: prevalence, clinical characteristics, and predictors of survival and seizure remission.

Authors:  L De Risio; R Newton; J Freeman; A Shea
Journal:  J Vet Intern Med       Date:  2015-04-30       Impact factor: 3.333

7.  C-11, a New Antiepileptic Drug Candidate: Evaluation of the Physicochemical Properties and Impact on the Protective Action of Selected Antiepileptic Drugs in the Mouse Maximal Electroshock-Induced Seizure Model.

Authors:  Mirosław Zagaja; Aleksandra Szewczyk; Joanna Szala-Rycaj; Grzegorz Raszewski; Magdalena Chrościńska-Krawczyk; Michał Abram; Krzysztof Kamiński; Marta Andres-Mach
Journal:  Molecules       Date:  2021-05-24       Impact factor: 4.411

8.  Clinical predictors of drug-resistant epilepsy in children

Authors:  Pakize Karaoğlu; Uluç Yaş; Ayşe İpek Polat; Müge Ayanoğlu; Semra Hız
Journal:  Turk J Med Sci       Date:  2021-06-28       Impact factor: 0.973

9.  Initial Response to Antiepileptic Drugs in Patients with Newly Diagnosed Epilepsy As a Predictor of Long-term Outcome.

Authors:  Lu Xia; Shuchun Ou; Songqing Pan
Journal:  Front Neurol       Date:  2017-12-08       Impact factor: 4.003

Review 10.  Drug-Resistant Epilepsy: Multiple Hypotheses, Few Answers.

Authors:  Fei Tang; Anika M S Hartz; Björn Bauer
Journal:  Front Neurol       Date:  2017-07-06       Impact factor: 4.003

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.