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Proposed Mechanism-Based Risk Stratification and Algorithm to Prevent Sudden Death in Epilepsy
Sudden Unexpected Death in Epilepsy (SUDEP) is the leading cause of death in young adults with uncontrolled seizures. First aid guidance to prevent SUDEP, though, has not been previously published because the rarity of monitored cases has made the underlying mechanism difficult to define. This stark...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868441/ https://www.ncbi.nlm.nih.gov/pubmed/33569036 http://dx.doi.org/10.3389/fneur.2020.618859 |
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author | Lucchesi, Michael Silverman, Joshua B. Sundaram, Krishnamurthi Kollmar, Richard Stewart, Mark |
author_facet | Lucchesi, Michael Silverman, Joshua B. Sundaram, Krishnamurthi Kollmar, Richard Stewart, Mark |
author_sort | Lucchesi, Michael |
collection | PubMed |
description | Sudden Unexpected Death in Epilepsy (SUDEP) is the leading cause of death in young adults with uncontrolled seizures. First aid guidance to prevent SUDEP, though, has not been previously published because the rarity of monitored cases has made the underlying mechanism difficult to define. This starkly contrasts with the first aid guidelines for sudden cardiac arrest that have been developed based on retrospective studies and expert consensus and the discussion of resuscitation challenges in various American Heart Association certificate courses. However, an increasing amount of evidence from documented SUDEP cases and near misses and from animal models points to a consistent sequence of events that starts with sudden airway occlusion and suggests a mechanistic basis for enhancing seizure first aid. In monitored cases, this sudden airway occlusion associated with seizure activity can be accurately inferred from inductance plethysmography or (depending on recording bandwidth) from electromyographic (EMG) bursts that are associated with inspiratory attempts appearing on the electroencephalogram (EEG) or the electrocardiogram (ECG). In an emergency setting or outside a hospital, seizure first aid can be improved by (1) keeping a lookout for sudden changes in airway status during a seizure, (2) distinguishing thoracic and abdominal movements during attempts to inspire from effective breathing, (3) applying a simple maneuver, the laryngospasm notch maneuver, that may help with airway management when aggressive airway management is unavailable, (4) providing oxygen early as a preventative step to reduce the risk of death, and (5) performing cardiopulmonary resuscitation before the limited post-ictal window of opportunity closes. We propose that these additions to first aid protocols can limit progression of any potential SUDEP case and prevent death. Risk stratification can be improved by recognition of airway occlusion, attendant hypoxia, and need for resuscitation. |
format | Online Article Text |
id | pubmed-7868441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78684412021-02-09 Proposed Mechanism-Based Risk Stratification and Algorithm to Prevent Sudden Death in Epilepsy Lucchesi, Michael Silverman, Joshua B. Sundaram, Krishnamurthi Kollmar, Richard Stewart, Mark Front Neurol Neurology Sudden Unexpected Death in Epilepsy (SUDEP) is the leading cause of death in young adults with uncontrolled seizures. First aid guidance to prevent SUDEP, though, has not been previously published because the rarity of monitored cases has made the underlying mechanism difficult to define. This starkly contrasts with the first aid guidelines for sudden cardiac arrest that have been developed based on retrospective studies and expert consensus and the discussion of resuscitation challenges in various American Heart Association certificate courses. However, an increasing amount of evidence from documented SUDEP cases and near misses and from animal models points to a consistent sequence of events that starts with sudden airway occlusion and suggests a mechanistic basis for enhancing seizure first aid. In monitored cases, this sudden airway occlusion associated with seizure activity can be accurately inferred from inductance plethysmography or (depending on recording bandwidth) from electromyographic (EMG) bursts that are associated with inspiratory attempts appearing on the electroencephalogram (EEG) or the electrocardiogram (ECG). In an emergency setting or outside a hospital, seizure first aid can be improved by (1) keeping a lookout for sudden changes in airway status during a seizure, (2) distinguishing thoracic and abdominal movements during attempts to inspire from effective breathing, (3) applying a simple maneuver, the laryngospasm notch maneuver, that may help with airway management when aggressive airway management is unavailable, (4) providing oxygen early as a preventative step to reduce the risk of death, and (5) performing cardiopulmonary resuscitation before the limited post-ictal window of opportunity closes. We propose that these additions to first aid protocols can limit progression of any potential SUDEP case and prevent death. Risk stratification can be improved by recognition of airway occlusion, attendant hypoxia, and need for resuscitation. Frontiers Media S.A. 2021-01-25 /pmc/articles/PMC7868441/ /pubmed/33569036 http://dx.doi.org/10.3389/fneur.2020.618859 Text en Copyright © 2021 Lucchesi, Silverman, Sundaram, Kollmar and Stewart. 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 Lucchesi, Michael Silverman, Joshua B. Sundaram, Krishnamurthi Kollmar, Richard Stewart, Mark Proposed Mechanism-Based Risk Stratification and Algorithm to Prevent Sudden Death in Epilepsy |
title | Proposed Mechanism-Based Risk Stratification and Algorithm to Prevent Sudden Death in Epilepsy |
title_full | Proposed Mechanism-Based Risk Stratification and Algorithm to Prevent Sudden Death in Epilepsy |
title_fullStr | Proposed Mechanism-Based Risk Stratification and Algorithm to Prevent Sudden Death in Epilepsy |
title_full_unstemmed | Proposed Mechanism-Based Risk Stratification and Algorithm to Prevent Sudden Death in Epilepsy |
title_short | Proposed Mechanism-Based Risk Stratification and Algorithm to Prevent Sudden Death in Epilepsy |
title_sort | proposed mechanism-based risk stratification and algorithm to prevent sudden death in epilepsy |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868441/ https://www.ncbi.nlm.nih.gov/pubmed/33569036 http://dx.doi.org/10.3389/fneur.2020.618859 |
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