Cargando…

Multimodal Monitoring in Large Hemispheric Infarction: Quantitative Electroencephalography Combined With Transcranial Doppler for Prognosis Prediction

Background: We aimed to explore whether transcranial Doppler (TCD) combined with quantitative electroencephalography (QEEG) can improve prognosis evaluation in patients with a large hemispheric infarction (LHI) and to establish an accurate prognosis prediction model. Methods: We prospectively assess...

Descripción completa

Detalles Bibliográficos
Autores principales: Qi, Yajie, Xing, Yingqi, Wang, Lijuan, Zhang, Jie, Cao, Yanting, Liu, Li, Chen, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8693413/
https://www.ncbi.nlm.nih.gov/pubmed/34956039
http://dx.doi.org/10.3389/fneur.2021.724571
_version_ 1784619137154154496
author Qi, Yajie
Xing, Yingqi
Wang, Lijuan
Zhang, Jie
Cao, Yanting
Liu, Li
Chen, Ying
author_facet Qi, Yajie
Xing, Yingqi
Wang, Lijuan
Zhang, Jie
Cao, Yanting
Liu, Li
Chen, Ying
author_sort Qi, Yajie
collection PubMed
description Background: We aimed to explore whether transcranial Doppler (TCD) combined with quantitative electroencephalography (QEEG) can improve prognosis evaluation in patients with a large hemispheric infarction (LHI) and to establish an accurate prognosis prediction model. Methods: We prospectively assessed 90-day mortality in patients with LHI. Brain function was monitored using TCD-QEEG at the bedside of the patient. Results: Of the 59 (55.3 ± 10.6 years; 17 men) enrolled patients, 37 (67.3%) patients died within 90 days. The Cox regression analyses revealed that the Glasgow Coma Scale (GCS) score ≤ 8 [hazard ratio (HR), 3.228; 95% CI, 1.335–7.801; p = 0.009], TCD-terminal internal carotid artery as the offending vessel (HR, 3.830; 95% CI, 1.301–11.271; p = 0.015), and QEEG-a (delta + theta)/(alpha + beta) ratio ≥ 3 (HR, 3.647; 95% CI, 1.170–11.373; p = 0.026) independently predicted survival duration. Combining these three factors yielded an area under the receiver operating characteristic curve of 0.905 and had better predictive accuracy than those of individual variables (p < 0.05). Conclusion: TCD and QEEG complement the GCS score to create a reliable multimodal method for monitoring prognosis in patients with LHI.
format Online
Article
Text
id pubmed-8693413
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-86934132021-12-23 Multimodal Monitoring in Large Hemispheric Infarction: Quantitative Electroencephalography Combined With Transcranial Doppler for Prognosis Prediction Qi, Yajie Xing, Yingqi Wang, Lijuan Zhang, Jie Cao, Yanting Liu, Li Chen, Ying Front Neurol Neurology Background: We aimed to explore whether transcranial Doppler (TCD) combined with quantitative electroencephalography (QEEG) can improve prognosis evaluation in patients with a large hemispheric infarction (LHI) and to establish an accurate prognosis prediction model. Methods: We prospectively assessed 90-day mortality in patients with LHI. Brain function was monitored using TCD-QEEG at the bedside of the patient. Results: Of the 59 (55.3 ± 10.6 years; 17 men) enrolled patients, 37 (67.3%) patients died within 90 days. The Cox regression analyses revealed that the Glasgow Coma Scale (GCS) score ≤ 8 [hazard ratio (HR), 3.228; 95% CI, 1.335–7.801; p = 0.009], TCD-terminal internal carotid artery as the offending vessel (HR, 3.830; 95% CI, 1.301–11.271; p = 0.015), and QEEG-a (delta + theta)/(alpha + beta) ratio ≥ 3 (HR, 3.647; 95% CI, 1.170–11.373; p = 0.026) independently predicted survival duration. Combining these three factors yielded an area under the receiver operating characteristic curve of 0.905 and had better predictive accuracy than those of individual variables (p < 0.05). Conclusion: TCD and QEEG complement the GCS score to create a reliable multimodal method for monitoring prognosis in patients with LHI. Frontiers Media S.A. 2021-12-08 /pmc/articles/PMC8693413/ /pubmed/34956039 http://dx.doi.org/10.3389/fneur.2021.724571 Text en Copyright © 2021 Qi, Xing, Wang, Zhang, Cao, Liu and Chen. https://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
Qi, Yajie
Xing, Yingqi
Wang, Lijuan
Zhang, Jie
Cao, Yanting
Liu, Li
Chen, Ying
Multimodal Monitoring in Large Hemispheric Infarction: Quantitative Electroencephalography Combined With Transcranial Doppler for Prognosis Prediction
title Multimodal Monitoring in Large Hemispheric Infarction: Quantitative Electroencephalography Combined With Transcranial Doppler for Prognosis Prediction
title_full Multimodal Monitoring in Large Hemispheric Infarction: Quantitative Electroencephalography Combined With Transcranial Doppler for Prognosis Prediction
title_fullStr Multimodal Monitoring in Large Hemispheric Infarction: Quantitative Electroencephalography Combined With Transcranial Doppler for Prognosis Prediction
title_full_unstemmed Multimodal Monitoring in Large Hemispheric Infarction: Quantitative Electroencephalography Combined With Transcranial Doppler for Prognosis Prediction
title_short Multimodal Monitoring in Large Hemispheric Infarction: Quantitative Electroencephalography Combined With Transcranial Doppler for Prognosis Prediction
title_sort multimodal monitoring in large hemispheric infarction: quantitative electroencephalography combined with transcranial doppler for prognosis prediction
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8693413/
https://www.ncbi.nlm.nih.gov/pubmed/34956039
http://dx.doi.org/10.3389/fneur.2021.724571
work_keys_str_mv AT qiyajie multimodalmonitoringinlargehemisphericinfarctionquantitativeelectroencephalographycombinedwithtranscranialdopplerforprognosisprediction
AT xingyingqi multimodalmonitoringinlargehemisphericinfarctionquantitativeelectroencephalographycombinedwithtranscranialdopplerforprognosisprediction
AT wanglijuan multimodalmonitoringinlargehemisphericinfarctionquantitativeelectroencephalographycombinedwithtranscranialdopplerforprognosisprediction
AT zhangjie multimodalmonitoringinlargehemisphericinfarctionquantitativeelectroencephalographycombinedwithtranscranialdopplerforprognosisprediction
AT caoyanting multimodalmonitoringinlargehemisphericinfarctionquantitativeelectroencephalographycombinedwithtranscranialdopplerforprognosisprediction
AT liuli multimodalmonitoringinlargehemisphericinfarctionquantitativeelectroencephalographycombinedwithtranscranialdopplerforprognosisprediction
AT chenying multimodalmonitoringinlargehemisphericinfarctionquantitativeelectroencephalographycombinedwithtranscranialdopplerforprognosisprediction