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Metabolic Evaluation of Epilepsy: A Diagnostic Algorithm With Focus on Treatable Conditions
Although inborn errors of metabolism do not represent the most common cause of seizures, their early identification is of utmost importance, since many will require therapeutic measures beyond that of common anti-epileptic drugs, either in order to control seizures, or to decrease the risk of neurod...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286965/ https://www.ncbi.nlm.nih.gov/pubmed/30559706 http://dx.doi.org/10.3389/fneur.2018.01016 |
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author | van Karnebeek, Clara D. M. Sayson, Bryan Lee, Jessica J. Y. Tseng, Laura A. Blau, Nenad Horvath, Gabriella A. Ferreira, Carlos R. |
author_facet | van Karnebeek, Clara D. M. Sayson, Bryan Lee, Jessica J. Y. Tseng, Laura A. Blau, Nenad Horvath, Gabriella A. Ferreira, Carlos R. |
author_sort | van Karnebeek, Clara D. M. |
collection | PubMed |
description | Although inborn errors of metabolism do not represent the most common cause of seizures, their early identification is of utmost importance, since many will require therapeutic measures beyond that of common anti-epileptic drugs, either in order to control seizures, or to decrease the risk of neurodegeneration. We translate the currently-known literature on metabolic etiologies of epilepsy (268 inborn errors of metabolism belonging to 21 categories, with 74 treatable errors), into a 2-tiered diagnostic algorithm, with the first-tier comprising accessible, affordable, and less invasive screening tests in urine and blood, with the potential to identify the majority of treatable conditions, while the second-tier tests are ordered based on individual clinical signs and symptoms. This resource aims to support the pediatrician, neurologist, biochemical, and clinical geneticists in early identification of treatable inborn errors of metabolism in a child with seizures, allowing for timely initiation of targeted therapy with the potential to improve outcomes. |
format | Online Article Text |
id | pubmed-6286965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-62869652018-12-17 Metabolic Evaluation of Epilepsy: A Diagnostic Algorithm With Focus on Treatable Conditions van Karnebeek, Clara D. M. Sayson, Bryan Lee, Jessica J. Y. Tseng, Laura A. Blau, Nenad Horvath, Gabriella A. Ferreira, Carlos R. Front Neurol Neurology Although inborn errors of metabolism do not represent the most common cause of seizures, their early identification is of utmost importance, since many will require therapeutic measures beyond that of common anti-epileptic drugs, either in order to control seizures, or to decrease the risk of neurodegeneration. We translate the currently-known literature on metabolic etiologies of epilepsy (268 inborn errors of metabolism belonging to 21 categories, with 74 treatable errors), into a 2-tiered diagnostic algorithm, with the first-tier comprising accessible, affordable, and less invasive screening tests in urine and blood, with the potential to identify the majority of treatable conditions, while the second-tier tests are ordered based on individual clinical signs and symptoms. This resource aims to support the pediatrician, neurologist, biochemical, and clinical geneticists in early identification of treatable inborn errors of metabolism in a child with seizures, allowing for timely initiation of targeted therapy with the potential to improve outcomes. Frontiers Media S.A. 2018-12-03 /pmc/articles/PMC6286965/ /pubmed/30559706 http://dx.doi.org/10.3389/fneur.2018.01016 Text en Copyright © 2018 van Karnebeek, Sayson, Lee, Tseng, Blau, Horvath and Ferreira. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology van Karnebeek, Clara D. M. Sayson, Bryan Lee, Jessica J. Y. Tseng, Laura A. Blau, Nenad Horvath, Gabriella A. Ferreira, Carlos R. Metabolic Evaluation of Epilepsy: A Diagnostic Algorithm With Focus on Treatable Conditions |
title | Metabolic Evaluation of Epilepsy: A Diagnostic Algorithm With Focus on Treatable Conditions |
title_full | Metabolic Evaluation of Epilepsy: A Diagnostic Algorithm With Focus on Treatable Conditions |
title_fullStr | Metabolic Evaluation of Epilepsy: A Diagnostic Algorithm With Focus on Treatable Conditions |
title_full_unstemmed | Metabolic Evaluation of Epilepsy: A Diagnostic Algorithm With Focus on Treatable Conditions |
title_short | Metabolic Evaluation of Epilepsy: A Diagnostic Algorithm With Focus on Treatable Conditions |
title_sort | metabolic evaluation of epilepsy: a diagnostic algorithm with focus on treatable conditions |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286965/ https://www.ncbi.nlm.nih.gov/pubmed/30559706 http://dx.doi.org/10.3389/fneur.2018.01016 |
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