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Association of Epileptiform Activity With Outcomes in Toxic-Metabolic Encephalopathy
The clinical significance of epileptiform abnormalities (EAs) specific to toxic-metabolic encephalopathy (TME) is unknown. OBJECTIVES: To quantify EA burden in patients with TME and its association with neurologic outcomes. DESIGN, SETTING, AND PARTICIPANT: This is a retrospective study. A cohort of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166342/ https://www.ncbi.nlm.nih.gov/pubmed/37168691 http://dx.doi.org/10.1097/CCE.0000000000000913 |
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author | Chen, Patrick M. Stekhoven, Sophie Schuurmans Haider, Adnan Jing, Jin Ge, Wendong Rosenthal, Eric S. Westover, M. Brandon Zafar, Sahar F. |
author_facet | Chen, Patrick M. Stekhoven, Sophie Schuurmans Haider, Adnan Jing, Jin Ge, Wendong Rosenthal, Eric S. Westover, M. Brandon Zafar, Sahar F. |
author_sort | Chen, Patrick M. |
collection | PubMed |
description | The clinical significance of epileptiform abnormalities (EAs) specific to toxic-metabolic encephalopathy (TME) is unknown. OBJECTIVES: To quantify EA burden in patients with TME and its association with neurologic outcomes. DESIGN, SETTING, AND PARTICIPANT: This is a retrospective study. A cohort of patients with TME and EA (positive) were age, Sequential Organ Failure Assessment Score, Acute Physiology and Chronic Health Evaluation II (APACHE-II) score matched to a cohort of TME patients without EA (control). Univariate analysis compared EA-positive patients against controls. Multivariable logistical regression adjusting for underlying disease etiology was performed to examine the relationship between EA burden and probability of poor neurologic outcome (modified Rankin Score [mRS] 4–6) at discharge. Consecutive admissions to inpatient floors or ICUs that underwent continuous electroencephalography (cEEG) monitoring at a single center between 2012 and 2019. Inclusion criteria were 1) patients with TME diagnosis, 2) age greater than 18 years, and 3) greater than or equal to 16 hours of cEEG. Patients with acute brain injury and cardiac arrest were excluded. MAIN OUTCOMES AND MEASURES: Poor neurologic outcome defined by mRS (mRS 4–6). RESULTS: One hundred sixteen patients were included, 58 with EA and 58 controls without EA, where matching was performed on age and APACHE-II score. The median age was 66 (Q1–Q3, 57–75) and median APACHE II score was 18 (Q1–Q3, 13–22). Overall cohort discharge mortality was 22% and 70% had a poor neurologic outcome. Peak EA burden was defined as the 12-hour window of recording with the highest prevalence of EAs. In multivariable analysis adjusted for Charlson Comorbidity Index and primary diagnosis, presence of EAs was associated with poor outcome (odds ratio 3.89; CI [1.05–14.2], p = 0.041). Increase in peak EA burden from 0% to 100% increased probability of poor discharge neurologic outcome by 30%. CONCLUSIONS AND RELEVANCE: Increasing burden of EA is associated with worse discharge outcomes in patients with TME. Future studies are needed to determine whether short-term treatment with anti-seizure medications while medically treating the underlying metabolic derangement improves outcomes. |
format | Online Article Text |
id | pubmed-10166342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-101663422023-05-09 Association of Epileptiform Activity With Outcomes in Toxic-Metabolic Encephalopathy Chen, Patrick M. Stekhoven, Sophie Schuurmans Haider, Adnan Jing, Jin Ge, Wendong Rosenthal, Eric S. Westover, M. Brandon Zafar, Sahar F. Crit Care Explor Observational Study The clinical significance of epileptiform abnormalities (EAs) specific to toxic-metabolic encephalopathy (TME) is unknown. OBJECTIVES: To quantify EA burden in patients with TME and its association with neurologic outcomes. DESIGN, SETTING, AND PARTICIPANT: This is a retrospective study. A cohort of patients with TME and EA (positive) were age, Sequential Organ Failure Assessment Score, Acute Physiology and Chronic Health Evaluation II (APACHE-II) score matched to a cohort of TME patients without EA (control). Univariate analysis compared EA-positive patients against controls. Multivariable logistical regression adjusting for underlying disease etiology was performed to examine the relationship between EA burden and probability of poor neurologic outcome (modified Rankin Score [mRS] 4–6) at discharge. Consecutive admissions to inpatient floors or ICUs that underwent continuous electroencephalography (cEEG) monitoring at a single center between 2012 and 2019. Inclusion criteria were 1) patients with TME diagnosis, 2) age greater than 18 years, and 3) greater than or equal to 16 hours of cEEG. Patients with acute brain injury and cardiac arrest were excluded. MAIN OUTCOMES AND MEASURES: Poor neurologic outcome defined by mRS (mRS 4–6). RESULTS: One hundred sixteen patients were included, 58 with EA and 58 controls without EA, where matching was performed on age and APACHE-II score. The median age was 66 (Q1–Q3, 57–75) and median APACHE II score was 18 (Q1–Q3, 13–22). Overall cohort discharge mortality was 22% and 70% had a poor neurologic outcome. Peak EA burden was defined as the 12-hour window of recording with the highest prevalence of EAs. In multivariable analysis adjusted for Charlson Comorbidity Index and primary diagnosis, presence of EAs was associated with poor outcome (odds ratio 3.89; CI [1.05–14.2], p = 0.041). Increase in peak EA burden from 0% to 100% increased probability of poor discharge neurologic outcome by 30%. CONCLUSIONS AND RELEVANCE: Increasing burden of EA is associated with worse discharge outcomes in patients with TME. Future studies are needed to determine whether short-term treatment with anti-seizure medications while medically treating the underlying metabolic derangement improves outcomes. Lippincott Williams & Wilkins 2023-05-05 /pmc/articles/PMC10166342/ /pubmed/37168691 http://dx.doi.org/10.1097/CCE.0000000000000913 Text en Copyright © 2023 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Observational Study Chen, Patrick M. Stekhoven, Sophie Schuurmans Haider, Adnan Jing, Jin Ge, Wendong Rosenthal, Eric S. Westover, M. Brandon Zafar, Sahar F. Association of Epileptiform Activity With Outcomes in Toxic-Metabolic Encephalopathy |
title | Association of Epileptiform Activity With Outcomes in Toxic-Metabolic Encephalopathy |
title_full | Association of Epileptiform Activity With Outcomes in Toxic-Metabolic Encephalopathy |
title_fullStr | Association of Epileptiform Activity With Outcomes in Toxic-Metabolic Encephalopathy |
title_full_unstemmed | Association of Epileptiform Activity With Outcomes in Toxic-Metabolic Encephalopathy |
title_short | Association of Epileptiform Activity With Outcomes in Toxic-Metabolic Encephalopathy |
title_sort | association of epileptiform activity with outcomes in toxic-metabolic encephalopathy |
topic | Observational Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166342/ https://www.ncbi.nlm.nih.gov/pubmed/37168691 http://dx.doi.org/10.1097/CCE.0000000000000913 |
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