A pragmatic algorithm to select appropriate antiseizure medications in patients with epilepsy

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Standard

A pragmatic algorithm to select appropriate antiseizure medications in patients with epilepsy. / Asadi-Pooya, Ali A.; Beniczky, Sandor; Rubboli, Guido; Sperling, Michael R.; Rampp, Stefan; Perucca, Emilio.

I: Epilepsia, Bind 61, Nr. 8, 08.2020, s. 1668-1677.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Harvard

Asadi-Pooya, AA, Beniczky, S, Rubboli, G, Sperling, MR, Rampp, S & Perucca, E 2020, 'A pragmatic algorithm to select appropriate antiseizure medications in patients with epilepsy', Epilepsia, bind 61, nr. 8, s. 1668-1677. https://doi.org/10.1111/epi.16610

APA

Asadi-Pooya, A. A., Beniczky, S., Rubboli, G., Sperling, M. R., Rampp, S., & Perucca, E. (2020). A pragmatic algorithm to select appropriate antiseizure medications in patients with epilepsy. Epilepsia, 61(8), 1668-1677. https://doi.org/10.1111/epi.16610

CBE

Asadi-Pooya AA, Beniczky S, Rubboli G, Sperling MR, Rampp S, Perucca E. 2020. A pragmatic algorithm to select appropriate antiseizure medications in patients with epilepsy. Epilepsia. 61(8):1668-1677. https://doi.org/10.1111/epi.16610

MLA

Vancouver

Asadi-Pooya AA, Beniczky S, Rubboli G, Sperling MR, Rampp S, Perucca E. A pragmatic algorithm to select appropriate antiseizure medications in patients with epilepsy. Epilepsia. 2020 aug;61(8):1668-1677. https://doi.org/10.1111/epi.16610

Author

Asadi-Pooya, Ali A. ; Beniczky, Sandor ; Rubboli, Guido ; Sperling, Michael R. ; Rampp, Stefan ; Perucca, Emilio. / A pragmatic algorithm to select appropriate antiseizure medications in patients with epilepsy. I: Epilepsia. 2020 ; Bind 61, Nr. 8. s. 1668-1677.

Bibtex

@article{c8b8eaf80c834133badaa8a51120f132,
title = "A pragmatic algorithm to select appropriate antiseizure medications in patients with epilepsy",
abstract = "Objective 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. Methods Utilizing available evidence and a Delphi panel-based consensus process, a group of epilepsy experts developed an algorithm for selection of ASMs, depending on the seizure type(s) and the presence of relevant clinical variables (age, gender, comorbidities, and comedications). The algorithm was implemented into a web-based application that was tested and improved in an iterative process. Results The algorithm categorizes ASMs deemed to be appropriate for each seizure type or combination of seizure types into three groups, with group 1 ASMs considered preferred, group 2 considered second line, and group 3 considered third line. Depending on the presence of relevant clinical variables, the ranking of individual ASMs is adjusted in the prioritization scheme to tailor recommendations to the characteristics of the individual. The algorithm is available on a web-based application at: #/. Significance The proposed algorithm is user-friendly, requires less than 2 minutes to complete, and provides the user with a range of appropriate treatment options from which to choose. This should facilitate its broad utilization and contribute to improve epilepsy management for healthcare providers who desire advice, particularly those who lack special expertise in the field.",
keywords = "algorithm, drug, epilepsy, seizure, treatment, ANTIEPILEPTIC DRUGS, DIAGNOSIS, SEIZURES, PEOPLE, ADULTS, APP",
author = "Asadi-Pooya, {Ali A.} and Sandor Beniczky and Guido Rubboli and Sperling, {Michael R.} and Stefan Rampp and Emilio Perucca",
year = "2020",
month = aug,
doi = "10.1111/epi.16610",
language = "English",
volume = "61",
pages = "1668--1677",
journal = "Epilepsia",
issn = "0013-9580",
publisher = "Wiley-Blackwell Publishing, Inc.",
number = "8",

}

RIS

TY - JOUR

T1 - A pragmatic algorithm to select appropriate antiseizure medications in patients with epilepsy

AU - Asadi-Pooya, Ali A.

AU - Beniczky, Sandor

AU - Rubboli, Guido

AU - Sperling, Michael R.

AU - Rampp, Stefan

AU - Perucca, Emilio

PY - 2020/8

Y1 - 2020/8

N2 - Objective 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. Methods Utilizing available evidence and a Delphi panel-based consensus process, a group of epilepsy experts developed an algorithm for selection of ASMs, depending on the seizure type(s) and the presence of relevant clinical variables (age, gender, comorbidities, and comedications). The algorithm was implemented into a web-based application that was tested and improved in an iterative process. Results The algorithm categorizes ASMs deemed to be appropriate for each seizure type or combination of seizure types into three groups, with group 1 ASMs considered preferred, group 2 considered second line, and group 3 considered third line. Depending on the presence of relevant clinical variables, the ranking of individual ASMs is adjusted in the prioritization scheme to tailor recommendations to the characteristics of the individual. The algorithm is available on a web-based application at: #/. Significance The proposed algorithm is user-friendly, requires less than 2 minutes to complete, and provides the user with a range of appropriate treatment options from which to choose. This should facilitate its broad utilization and contribute to improve epilepsy management for healthcare providers who desire advice, particularly those who lack special expertise in the field.

AB - Objective 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. Methods Utilizing available evidence and a Delphi panel-based consensus process, a group of epilepsy experts developed an algorithm for selection of ASMs, depending on the seizure type(s) and the presence of relevant clinical variables (age, gender, comorbidities, and comedications). The algorithm was implemented into a web-based application that was tested and improved in an iterative process. Results The algorithm categorizes ASMs deemed to be appropriate for each seizure type or combination of seizure types into three groups, with group 1 ASMs considered preferred, group 2 considered second line, and group 3 considered third line. Depending on the presence of relevant clinical variables, the ranking of individual ASMs is adjusted in the prioritization scheme to tailor recommendations to the characteristics of the individual. The algorithm is available on a web-based application at: #/. Significance The proposed algorithm is user-friendly, requires less than 2 minutes to complete, and provides the user with a range of appropriate treatment options from which to choose. This should facilitate its broad utilization and contribute to improve epilepsy management for healthcare providers who desire advice, particularly those who lack special expertise in the field.

KW - algorithm

KW - drug

KW - epilepsy

KW - seizure

KW - treatment

KW - ANTIEPILEPTIC DRUGS

KW - DIAGNOSIS

KW - SEIZURES

KW - PEOPLE

KW - ADULTS

KW - APP

U2 - 10.1111/epi.16610

DO - 10.1111/epi.16610

M3 - Journal article

C2 - 32697354

VL - 61

SP - 1668

EP - 1677

JO - Epilepsia

JF - Epilepsia

SN - 0013-9580

IS - 8

ER -