Literature DB >> 16338673

A proposal for a five-dimensional patient-oriented epilepsy classification.

Tobias Loddenkemper1, Christoph Kellinghaus, Elaine Wyllie, Imad M Najm, Ajay Gupta, Felix Rosenow, Hans O Lüders.   

Abstract

The recent proposal by the ILAE Task Force for Epilepsy Classification consists of a multi-axial syndrome-oriented approach. Epilepsy syndromes, as defined by the ILAE, group patients according to various, poorly defined parameters. The resulting syndromes have frequently no biological significance, with overlap among different syndromes and syndromes changing with age. Additionally, only a minority of patients can be classified syndromatically, and the axes of this classification system convey redundant information. We propose a five-dimensional, patient-oriented approach to classifying epilepsies. This approach shifts from the syndrome-oriented approach to a standard, neurological, methodological, patient-oriented approach, using independent criteria in each of the five dimensions. Similar to general neurology, the first step in each patient-physician encounter in epileptology is to take a history of the presenting symptoms and generate a hypothesis regarding the localization and etiology of the symptom within the nervous system. Therefore, the main dimensions of this classification consist of: 1) localization of the epileptogenic zone, 2) seizure semiology classified according to the semiological seizure classification, 3) etiology, 4) seizure frequency, and 5) related medical conditions. These dimensions characterize all of the information necessary for patient management, are independent parameters, and include more pertinent information with regards to patient management than the ILAE axes. All patients can be classified according to this five-dimensional system even at the initial patient encounter when no detailed test results are available. Information from clinical tests, such as MRI and EEG, are translated into the best possible working hypothesis at the time of classification, allowing for increasing precision of the classification as additional information becomes available. This patient-oriented classification envisions an epileptic seizure as an independent symptom of a central nervous system dysfunction due to different causes, with various cortical localizations, occurring at various frequencies, and in conjunction with other diseases and clinical symptoms.

Entities:  

Mesh:

Year:  2005        PMID: 16338673

Source DB:  PubMed          Journal:  Epileptic Disord        ISSN: 1294-9361            Impact factor:   1.819


  10 in total

Review 1.  Management of focal-onset seizures: an update on drug treatment.

Authors:  Svein I Johannessen; Elinor Ben-Menachem
Journal:  Drugs       Date:  2006       Impact factor: 9.546

2.  Acute onset of focal seizures, psychiatric features and confusion: a case of autoimmune encephalitis?

Authors:  Adam Al-Diwani; Richard J Butterworth; Anjan Nibber; Bethan Lang; Angela Vincent; Sarosh R Irani
Journal:  BMJ Case Rep       Date:  2012-10-30

Review 3.  State of the Art Approach to the Classification of Epileptic Seizures and Epilepsies.

Authors:  Ebru Barçin; Berrin Aktekin
Journal:  Noro Psikiyatr Ars       Date:  2014-09-01       Impact factor: 1.339

4.  Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care.

Authors:  Satya S Sahoo; Samden D Lhatoo; Deepak K Gupta; Licong Cui; Meng Zhao; Catherine Jayapandian; Alireza Bozorgi; Guo-Qiang Zhang
Journal:  J Am Med Inform Assoc       Date:  2013-05-18       Impact factor: 4.497

Review 5.  Computer modelling of epilepsy.

Authors:  William W Lytton
Journal:  Nat Rev Neurosci       Date:  2008-07-02       Impact factor: 34.870

6.  A Proposal for a Patient-Oriented Five-Dimensional Approach for Surveillance and Therapy in Multiple Sclerosis.

Authors:  Yavor Yalachkov; Christian Foerch; Mathias Wahl; Johannes Gehrig
Journal:  Front Neurol       Date:  2017-07-03       Impact factor: 4.003

7.  New-Onset Geriatric Epilepsy in China: A Single-Center Study.

Authors:  Jian-Hua Chen; Xiang-Qin Zhou; Qiang Lu; Li-Ri Jin; Yan Huang
Journal:  Chin Med J (Engl)       Date:  2018-12-20       Impact factor: 2.628

8.  Proposal for an updated seizure classification framework in clinical trials.

Authors:  Claude Steriade; Michael R Sperling; Bree DiVentura; Meryl Lozano; Renée A Shellhaas; Sudha Kilaru Kessler; Dennis Dlugos; Jacqueline French
Journal:  Epilepsia       Date:  2022-01-07       Impact factor: 6.740

Review 9.  Classifying epilepsy pragmatically: Past, present, and future.

Authors:  Nathan A Shlobin; Gagandeep Singh; Charles R Newton; Josemir W Sander
Journal:  J Neurol Sci       Date:  2021-05-29       Impact factor: 4.553

10.  The Clinical Characteristics of New-Onset Epilepsy in the Elderly and Risk Factors for Treatment Outcomes of Antiseizure Medications.

Authors:  Jing Qi; Xiao Liu; Na Xu; Qun Wang
Journal:  Front Neurol       Date:  2022-02-22       Impact factor: 4.003

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.