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Heart rate changes in partial seizures: analysis of influencing factors among refractory patients

BACKGROUND: We analyzed the frequency of heart rate (HR) changes related to seizures, and we sought to identify the influencing factors of these changes during partial seizures, to summarize the regularity of the HR changes and gain some insight into the mechanisms involved in the neuronal regulatio...

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Autores principales: Chen, Wei, Guo, Chang-Li, Zhang, Pei-Song, Liu, Chong, Qiao, Hui, Zhang, Jian-Guo, Meng, Fan-Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4080606/
https://www.ncbi.nlm.nih.gov/pubmed/24950859
http://dx.doi.org/10.1186/1471-2377-14-135
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author Chen, Wei
Guo, Chang-Li
Zhang, Pei-Song
Liu, Chong
Qiao, Hui
Zhang, Jian-Guo
Meng, Fan-Gang
author_facet Chen, Wei
Guo, Chang-Li
Zhang, Pei-Song
Liu, Chong
Qiao, Hui
Zhang, Jian-Guo
Meng, Fan-Gang
author_sort Chen, Wei
collection PubMed
description BACKGROUND: We analyzed the frequency of heart rate (HR) changes related to seizures, and we sought to identify the influencing factors of these changes during partial seizures, to summarize the regularity of the HR changes and gain some insight into the mechanisms involved in the neuronal regulation of cardiovascular function. To date, detailed information on influencing factors of HR changes related to seizures by multiple linear regression analysis remains scarce. METHODS: Using video-electroencephalograph (EEG)-electrocardiograph (ECG) recordings, we retrospectively assessed the changes in the HR of 81 patients during a total of 181 seizures, including 27 simple partial seizures (SPS), 110 complex partial seizures (CPS) and 44 complex partial seizures secondarily generalized (CPS-G). The epileptogenic focus and the seizure type, age, gender, and sleep/wakefulness state of each patient were evaluated during and after the seizure onset. The HR changes were evaluated in the stage of epilepsy as time varies. RESULTS: Of the 181 seizures from 81 patients with ictal ECGs, 152 seizures (83.98%) from 74 patients were accompanied by ictal tachycardia (IT). And only 1 patient was accompanied by ictal bradycardia (IB). A patient has both IT and IB. We observed that HR difference was independently correlated with side, type and sleep/wakefulness state. In this analysis, the HR changes were related to the side, gender, seizure type, and sleep/wakefulness state. Right focus, male, sleep, and CPS-G showed more significant increases than that were observed in left, female, wakefulness, SPS and CPS. HR increases rapidly within 10 seconds before seizure onset and ictus, and typically slows to normal with seizure offset. CONCLUSION: CPS-G, sleep and right focus led to higher ictal HR. The HR in the stage of epilepsy has regularly been observed to change to become time-varying. The risk factors of ictal HR need to be controlled along with sleep, CPS-G and right focus. Our study first explains that the HR in seizures has a regular evolution varying with time. Our study might help to further clarify the basic mechanisms of interactions between heart and brain, making seizure detection and closed-loop systems a possible therapeutic alternative in refractory patients.
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spelling pubmed-40806062014-07-03 Heart rate changes in partial seizures: analysis of influencing factors among refractory patients Chen, Wei Guo, Chang-Li Zhang, Pei-Song Liu, Chong Qiao, Hui Zhang, Jian-Guo Meng, Fan-Gang BMC Neurol Research Article BACKGROUND: We analyzed the frequency of heart rate (HR) changes related to seizures, and we sought to identify the influencing factors of these changes during partial seizures, to summarize the regularity of the HR changes and gain some insight into the mechanisms involved in the neuronal regulation of cardiovascular function. To date, detailed information on influencing factors of HR changes related to seizures by multiple linear regression analysis remains scarce. METHODS: Using video-electroencephalograph (EEG)-electrocardiograph (ECG) recordings, we retrospectively assessed the changes in the HR of 81 patients during a total of 181 seizures, including 27 simple partial seizures (SPS), 110 complex partial seizures (CPS) and 44 complex partial seizures secondarily generalized (CPS-G). The epileptogenic focus and the seizure type, age, gender, and sleep/wakefulness state of each patient were evaluated during and after the seizure onset. The HR changes were evaluated in the stage of epilepsy as time varies. RESULTS: Of the 181 seizures from 81 patients with ictal ECGs, 152 seizures (83.98%) from 74 patients were accompanied by ictal tachycardia (IT). And only 1 patient was accompanied by ictal bradycardia (IB). A patient has both IT and IB. We observed that HR difference was independently correlated with side, type and sleep/wakefulness state. In this analysis, the HR changes were related to the side, gender, seizure type, and sleep/wakefulness state. Right focus, male, sleep, and CPS-G showed more significant increases than that were observed in left, female, wakefulness, SPS and CPS. HR increases rapidly within 10 seconds before seizure onset and ictus, and typically slows to normal with seizure offset. CONCLUSION: CPS-G, sleep and right focus led to higher ictal HR. The HR in the stage of epilepsy has regularly been observed to change to become time-varying. The risk factors of ictal HR need to be controlled along with sleep, CPS-G and right focus. Our study first explains that the HR in seizures has a regular evolution varying with time. Our study might help to further clarify the basic mechanisms of interactions between heart and brain, making seizure detection and closed-loop systems a possible therapeutic alternative in refractory patients. BioMed Central 2014-06-20 /pmc/articles/PMC4080606/ /pubmed/24950859 http://dx.doi.org/10.1186/1471-2377-14-135 Text en Copyright © 2014 Chen et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Chen, Wei
Guo, Chang-Li
Zhang, Pei-Song
Liu, Chong
Qiao, Hui
Zhang, Jian-Guo
Meng, Fan-Gang
Heart rate changes in partial seizures: analysis of influencing factors among refractory patients
title Heart rate changes in partial seizures: analysis of influencing factors among refractory patients
title_full Heart rate changes in partial seizures: analysis of influencing factors among refractory patients
title_fullStr Heart rate changes in partial seizures: analysis of influencing factors among refractory patients
title_full_unstemmed Heart rate changes in partial seizures: analysis of influencing factors among refractory patients
title_short Heart rate changes in partial seizures: analysis of influencing factors among refractory patients
title_sort heart rate changes in partial seizures: analysis of influencing factors among refractory patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4080606/
https://www.ncbi.nlm.nih.gov/pubmed/24950859
http://dx.doi.org/10.1186/1471-2377-14-135
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