Why and how to assess cerebral autoregulation?

bedside monitoring cerebral autoregulation cerebral blood flow limits of cerebral autoregulation near-infrared spectroscopy optimal blood pressure

Journal

Best practice & research. Clinical anaesthesiology
ISSN: 1878-1608
Titre abrégé: Best Pract Res Clin Anaesthesiol
Pays: Netherlands
ID NLM: 101121446

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 08 05 2019
revised: 13 05 2019
accepted: 16 05 2019
entrez: 5 10 2019
pubmed: 5 10 2019
medline: 23 2 2020
Statut: ppublish

Résumé

Around the turn of the century, a better understanding of the complex physiology of cerebral blood flow (CBF) regulation has emerged. It is now acknowledged that cerebral autoregulation is much more complicated than we previously thought it was, with the shape of the autoregulation curve and limits of autoregulation that may vary enormously and unpredictably, both within and between patients. The consequence is that to safeguard the cerebral circulation, the dogma that an empirically chosen blood pressure guarantees adequate CBF in any individual patient has to be abandoned. Integration of cerebral autoregulation monitoring in daily perioperative patient care offers the opportunity to guide blood pressure management to the individual patient's need. The most common approach tests the effect of changes in blood pressure on an estimate of CBF. However, a "gold standard" to assess cerebral autoregulation is not yet available, and the literature shows considerable disparity of methods and criteria.

Identifiants

pubmed: 31582100
pii: S1521-6896(19)30060-6
doi: 10.1016/j.bpa.2019.05.007
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

211-220

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Annelies Moerman (A)

Department of Anesthesiology, Ghent University Hospital, Ghent University, Corneel Heymanslaan 10, B-9000, Ghent, Belgium. Electronic address: annelies.moerman@ugent.be.

Stefan De Hert (S)

Department of Anesthesiology, Ghent University Hospital, Ghent University, Corneel Heymanslaan 10, B-9000, Ghent, Belgium. Electronic address: stefan.dehert@ugent.be.

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Classifications MeSH