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Prediction of Cerebral Hyperperfusion Syndrome with Velocity Blood Pressure Index

BACKGROUND: Cerebral hyperperfusion syndrome is an important complication of carotid endarterectomy (CEA). An >100% increase in middle cerebral artery velocity (MCAV) after CEA is used to predict the cerebral hyperperfusion syndrome (CHS) development, but the accuracy is limited. The increase in...

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Autores principales: Lai, Zhi-Chao, Liu, Bao, Chen, Yu, Ni, Leng, Liu, Chang-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4733740/
https://www.ncbi.nlm.nih.gov/pubmed/26063363
http://dx.doi.org/10.4103/0366-6999.158317
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author Lai, Zhi-Chao
Liu, Bao
Chen, Yu
Ni, Leng
Liu, Chang-Wei
author_facet Lai, Zhi-Chao
Liu, Bao
Chen, Yu
Ni, Leng
Liu, Chang-Wei
author_sort Lai, Zhi-Chao
collection PubMed
description BACKGROUND: Cerebral hyperperfusion syndrome is an important complication of carotid endarterectomy (CEA). An >100% increase in middle cerebral artery velocity (MCAV) after CEA is used to predict the cerebral hyperperfusion syndrome (CHS) development, but the accuracy is limited. The increase in blood pressure (BP) after surgery is a risk factor of CHS, but no study uses it to predict CHS. This study was to create a more precise parameter for prediction of CHS by combined the increase of MCAV and BP after CEA. METHODS: Systolic MCAV measured by transcranial Doppler and systematic BP were recorded preoperatively; 30 min postoperatively. The new parameter velocity BP index (VBI) was calculated from the postoperative increase ratios of MCAV and BP. The prediction powers of VBI and the increase ratio of MCAV (velocity ratio [VR]) were compared for predicting CHS occurrence. RESULTS: Totally, 6/185 cases suffered CHS. The best-fit cut-off point of 2.0 for VBI was identified, which had 83.3% sensitivity, 98.3% specificity, 62.5% positive predictive value and 99.4% negative predictive value for CHS development. This result is significantly better than VR (33.3%, 97.2%, 28.6% and 97.8%). The area under the curve (AUC) of receiver operating characteristic: AUC(VBI)= 0.981, 95% confidence interval [CI] 0.949–0.995; AUC(VR)= 0.935, 95% CI 0.890–0.966, P = 0.02. CONCLUSIONS: The new parameter VBI can more accurately predict patients at risk of CHS after CEA. This observation needs to be validated by larger studies.
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spelling pubmed-47337402016-04-04 Prediction of Cerebral Hyperperfusion Syndrome with Velocity Blood Pressure Index Lai, Zhi-Chao Liu, Bao Chen, Yu Ni, Leng Liu, Chang-Wei Chin Med J (Engl) Original Article BACKGROUND: Cerebral hyperperfusion syndrome is an important complication of carotid endarterectomy (CEA). An >100% increase in middle cerebral artery velocity (MCAV) after CEA is used to predict the cerebral hyperperfusion syndrome (CHS) development, but the accuracy is limited. The increase in blood pressure (BP) after surgery is a risk factor of CHS, but no study uses it to predict CHS. This study was to create a more precise parameter for prediction of CHS by combined the increase of MCAV and BP after CEA. METHODS: Systolic MCAV measured by transcranial Doppler and systematic BP were recorded preoperatively; 30 min postoperatively. The new parameter velocity BP index (VBI) was calculated from the postoperative increase ratios of MCAV and BP. The prediction powers of VBI and the increase ratio of MCAV (velocity ratio [VR]) were compared for predicting CHS occurrence. RESULTS: Totally, 6/185 cases suffered CHS. The best-fit cut-off point of 2.0 for VBI was identified, which had 83.3% sensitivity, 98.3% specificity, 62.5% positive predictive value and 99.4% negative predictive value for CHS development. This result is significantly better than VR (33.3%, 97.2%, 28.6% and 97.8%). The area under the curve (AUC) of receiver operating characteristic: AUC(VBI)= 0.981, 95% confidence interval [CI] 0.949–0.995; AUC(VR)= 0.935, 95% CI 0.890–0.966, P = 0.02. CONCLUSIONS: The new parameter VBI can more accurately predict patients at risk of CHS after CEA. This observation needs to be validated by larger studies. Medknow Publications & Media Pvt Ltd 2015-06-20 /pmc/articles/PMC4733740/ /pubmed/26063363 http://dx.doi.org/10.4103/0366-6999.158317 Text en Copyright: © 2015 Chinese Medical Journal http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Lai, Zhi-Chao
Liu, Bao
Chen, Yu
Ni, Leng
Liu, Chang-Wei
Prediction of Cerebral Hyperperfusion Syndrome with Velocity Blood Pressure Index
title Prediction of Cerebral Hyperperfusion Syndrome with Velocity Blood Pressure Index
title_full Prediction of Cerebral Hyperperfusion Syndrome with Velocity Blood Pressure Index
title_fullStr Prediction of Cerebral Hyperperfusion Syndrome with Velocity Blood Pressure Index
title_full_unstemmed Prediction of Cerebral Hyperperfusion Syndrome with Velocity Blood Pressure Index
title_short Prediction of Cerebral Hyperperfusion Syndrome with Velocity Blood Pressure Index
title_sort prediction of cerebral hyperperfusion syndrome with velocity blood pressure index
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4733740/
https://www.ncbi.nlm.nih.gov/pubmed/26063363
http://dx.doi.org/10.4103/0366-6999.158317
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