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...

Full description

Bibliographic Details
Main Authors: Zhi-Chao Lai, Bao Liu, Yu Chen, Leng Ni, Chang-Wei Liu
Format: Article
Language:English
Published: Wolters Kluwer 2015-06-01
Series:Chinese Medical Journal
Online Access:http://journals.lww.com/10.4103/0366-6999.158317
_version_ 1797646828621004800
author Zhi-Chao Lai
Bao Liu
Yu Chen
Leng Ni
Chang-Wei Liu
author_facet Zhi-Chao Lai
Bao Liu
Yu Chen
Leng Ni
Chang-Wei Liu
author_sort Zhi-Chao Lai
collection DOAJ
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: AUCVBI= 0.981, 95% confidence interval [CI] 0.949-0.995; AUCVR= 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.
first_indexed 2024-03-11T15:08:25Z
format Article
id doaj.art-0879ea3934ad4b9cb0c3cec4bb381a87
institution Directory Open Access Journal
issn 0366-6999
2542-5641
language English
last_indexed 2024-03-11T15:08:25Z
publishDate 2015-06-01
publisher Wolters Kluwer
record_format Article
series Chinese Medical Journal
spelling doaj.art-0879ea3934ad4b9cb0c3cec4bb381a872023-10-30T03:37:28ZengWolters KluwerChinese Medical Journal0366-69992542-56412015-06-01128121611161710.4103/0366-6999.158317cm9-128-1611Prediction of Cerebral Hyperperfusion Syndrome with Velocity Blood Pressure IndexZhi-Chao Lai0Bao Liu1Yu Chen2Leng Ni3Chang-Wei Liu4Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, ChinaDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, ChinaDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, ChinaDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, ChinaDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, ChinaBackground:. 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: AUCVBI= 0.981, 95% confidence interval [CI] 0.949-0.995; AUCVR= 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.http://journals.lww.com/10.4103/0366-6999.158317
spellingShingle Zhi-Chao Lai
Bao Liu
Yu Chen
Leng Ni
Chang-Wei Liu
Prediction of Cerebral Hyperperfusion Syndrome with Velocity Blood Pressure Index
Chinese Medical Journal
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
url http://journals.lww.com/10.4103/0366-6999.158317
work_keys_str_mv AT zhichaolai predictionofcerebralhyperperfusionsyndromewithvelocitybloodpressureindex
AT baoliu predictionofcerebralhyperperfusionsyndromewithvelocitybloodpressureindex
AT yuchen predictionofcerebralhyperperfusionsyndromewithvelocitybloodpressureindex
AT lengni predictionofcerebralhyperperfusionsyndromewithvelocitybloodpressureindex
AT changweiliu predictionofcerebralhyperperfusionsyndromewithvelocitybloodpressureindex