Estimation of critical closing pressure using intravascular blood pressure of the common carotid artery.


Journal

Medical engineering & physics
ISSN: 1873-4030
Titre abrégé: Med Eng Phys
Pays: England
ID NLM: 9422753

Informations de publication

Date de publication:
04 2022
Historique:
received: 19 07 2021
revised: 01 01 2022
accepted: 14 01 2022
entrez: 29 3 2022
pubmed: 30 3 2022
medline: 12 4 2022
Statut: ppublish

Résumé

Radial artery, femoral artery, and aortic arterial blood pressures (ABPs) can be used to estimate cerebral critical closing pressure (CrCP) and resistance-area product (RAP). However, the use of the common carotid artery (CCA) intravascular blood pressure to estimate CrCP is unclear. Thus, using continuous ABP monitoring, we compared the CrCP and RAP estimated from CCA measurements with the corresponding values acquired from the radial artery. In this retrospective cross-sectional study, we analyzed CrCP and RAP estimations from 21 patients with normal cerebral blood vessels between July 23, 2010, and February 9, 2011, using linear regression of the cerebral blood flow velocity-ABP relationship. Bland-Altman analysis showed that the average differences (95% limits of agreement) between the radial artery and the left CCA were -6.3 (-53.1 - 40.6) mmHg and -0.08 (-0.41 - 0.25) mmHg s cm The CrCP and RAP estimated from the CCA measurements are consistent with the corresponding values obtained from the radial artery.

Identifiants

pubmed: 35346428
pii: S1350-4533(22)00010-8
doi: 10.1016/j.medengphy.2022.103759
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103759

Informations de copyright

Copyright © 2022. Published by Elsevier Ltd.

Auteurs

Yunyun Liang (Y)

Department of Rehabilitation Medicine, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Pei Mo (P)

Department of Cardiology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Xinguang Yang (X)

Department of Neurology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Yihua He (Y)

Department of Neurology, The First Clinical School of Southern Medical University, Guangzhou, China.

Weijin Zhang (W)

Department of Neurology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Xianfan Zeng (X)

Department of Neurology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Longchang Xie (L)

Department of Neurology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Qingchun Gao (Q)

Department of Neurology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. Electronic address: qcgao@263.net.

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Classifications MeSH