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A pragmatic algorithm to select appropriate antiseizure medications in patients with epilepsy
Author(s) -
AsadiPooya Ali A.,
Beniczky Sándor,
Rubboli Guido,
Sperling Michael R.,
Rampp Stefan,
Perucca Emilio
Publication year - 2020
Publication title -
epilepsia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.687
H-Index - 191
eISSN - 1528-1167
pISSN - 0013-9580
DOI - 10.1111/epi.16610
Subject(s) - epilepsy , algorithm , ranking (information retrieval) , seizure types , delphi method , health care , computer science , medicine , first line , machine learning , psychology , artificial intelligence , psychiatry , economics , economic growth
Antiseizure medications (ASMs) are the first-line treatment for epilepsy. Many ASMs are available; this offers the opportunity to improve therapy by tailoring it to individual characteristics, but also increases the possibility of healthcare professionals making inappropriate treatment choices. To assist healthcare professionals, we developed a pragmatic algorithm aimed at facilitating medication selection for individuals whose epilepsy begins at age 10 years and older.