View in EDS HTML Full Text PDF Full Text

Quantification of Cerebral Vascular Autoregulation Immediately Following Resuscitation from Cardiac Arrest.

Saved in:
Bibliographic Details
Title: Quantification of Cerebral Vascular Autoregulation Immediately Following Resuscitation from Cardiac Arrest.
Authors: Shen, Yucheng1 (AUTHOR), Wang, Qihong1,2 (AUTHOR), Modi, Hiren R.1,3 (AUTHOR), Pathak, Arvind P.4 (AUTHOR), Geocadin, Romergryko G.5,6,7 (AUTHOR), Thakor, Nitish V.1 (AUTHOR), Senarathna, Janaka4,8 (AUTHOR) dsenara1@jh.edu
Source: Annals of Biomedical Engineering. Aug2023, Vol. 51 Issue 8, p1847-1858. 12p.
Subjects: Cerebral circulation, Cardiac arrest, Cardiac resuscitation, Speckle interference, Cerebral angiography, Blood flow
Abstract: Cerebral vascular autoregulation is impaired following resuscitation from cardiac arrest (CA), and its quantification may allow assessing CA-induced brain injury. However, hyperemia occurring immediately post-resuscitation limits the application of most metrics that quantify autoregulation. Therefore, to characterize autoregulation during this critical period, we developed three novel metrics based on how the cerebrovascular resistance (CVR) covaries with changes in cerebral perfusion pressure (CPP): (i) θCVR, which quantifies the CVR vs CPP gradient, (ii) a CVR-based transfer function analysis, and (iii) CVRx, the correlation coefficient between CPP and CVR. We tested these metrics in a model of asphyxia induced CA and resuscitation using seven adult male Wistar rats. Mean arterial pressure (MAP) and cortical blood flow recorded for 30 min post-resuscitation via arterial cannulation and laser speckle contrast imaging, were used as surrogates of CPP and cerebral blood flow (CBF), while CVR was computed as the CPP/CBF ratio. Using our metrics, we found that the status of cerebral vascular autoregulation altered substantially during hyperemia, with changes spread throughout the 0–0.05 Hz frequency band. Our metrics push the boundary of how soon autoregulation can be assessed, and if validated against outcome markers, may help develop a reliable metric of brain injury post-resuscitation. [ABSTRACT FROM AUTHOR]
Copyright of Annals of Biomedical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 164751138
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Quantification of Cerebral Vascular Autoregulation Immediately Following Resuscitation from Cardiac Arrest.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Shen%2C+Yucheng%22">Shen, Yucheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Qihong%22">Wang, Qihong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Modi%2C+Hiren+R%2E%22">Modi, Hiren R.</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pathak%2C+Arvind+P%2E%22">Pathak, Arvind P.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Geocadin%2C+Romergryko+G%2E%22">Geocadin, Romergryko G.</searchLink><relatesTo>5,6,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Thakor%2C+Nitish+V%2E%22">Thakor, Nitish V.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Senarathna%2C+Janaka%22">Senarathna, Janaka</searchLink><relatesTo>4,8</relatesTo> (AUTHOR)<i> dsenara1@jh.edu</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Annals+of+Biomedical+Engineering%22">Annals of Biomedical Engineering</searchLink>. Aug2023, Vol. 51 Issue 8, p1847-1858. 12p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Cerebral+circulation%22">Cerebral circulation</searchLink><br /><searchLink fieldCode="DE" term="%22Cardiac+arrest%22">Cardiac arrest</searchLink><br /><searchLink fieldCode="DE" term="%22Cardiac+resuscitation%22">Cardiac resuscitation</searchLink><br /><searchLink fieldCode="DE" term="%22Speckle+interference%22">Speckle interference</searchLink><br /><searchLink fieldCode="DE" term="%22Cerebral+angiography%22">Cerebral angiography</searchLink><br /><searchLink fieldCode="DE" term="%22Blood+flow%22">Blood flow</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Cerebral vascular autoregulation is impaired following resuscitation from cardiac arrest (CA), and its quantification may allow assessing CA-induced brain injury. However, hyperemia occurring immediately post-resuscitation limits the application of most metrics that quantify autoregulation. Therefore, to characterize autoregulation during this critical period, we developed three novel metrics based on how the cerebrovascular resistance (CVR) covaries with changes in cerebral perfusion pressure (CPP): (i) θCVR, which quantifies the CVR vs CPP gradient, (ii) a CVR-based transfer function analysis, and (iii) CVRx, the correlation coefficient between CPP and CVR. We tested these metrics in a model of asphyxia induced CA and resuscitation using seven adult male Wistar rats. Mean arterial pressure (MAP) and cortical blood flow recorded for 30 min post-resuscitation via arterial cannulation and laser speckle contrast imaging, were used as surrogates of CPP and cerebral blood flow (CBF), while CVR was computed as the CPP/CBF ratio. Using our metrics, we found that the status of cerebral vascular autoregulation altered substantially during hyperemia, with changes spread throughout the 0–0.05 Hz frequency band. Our metrics push the boundary of how soon autoregulation can be assessed, and if validated against outcome markers, may help develop a reliable metric of brain injury post-resuscitation. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Annals of Biomedical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=164751138
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10439-023-03210-4
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 1847
    Subjects:
      – SubjectFull: Cerebral circulation
        Type: general
      – SubjectFull: Cardiac arrest
        Type: general
      – SubjectFull: Cardiac resuscitation
        Type: general
      – SubjectFull: Speckle interference
        Type: general
      – SubjectFull: Cerebral angiography
        Type: general
      – SubjectFull: Blood flow
        Type: general
    Titles:
      – TitleFull: Quantification of Cerebral Vascular Autoregulation Immediately Following Resuscitation from Cardiac Arrest.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Shen, Yucheng
      – PersonEntity:
          Name:
            NameFull: Wang, Qihong
      – PersonEntity:
          Name:
            NameFull: Modi, Hiren R.
      – PersonEntity:
          Name:
            NameFull: Pathak, Arvind P.
      – PersonEntity:
          Name:
            NameFull: Geocadin, Romergryko G.
      – PersonEntity:
          Name:
            NameFull: Thakor, Nitish V.
      – PersonEntity:
          Name:
            NameFull: Senarathna, Janaka
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: Aug2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 00906964
          Numbering:
            – Type: volume
              Value: 51
            – Type: issue
              Value: 8
          Titles:
            – TitleFull: Annals of Biomedical Engineering
              Type: main
ResultId 1