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Review of studies on dynamic cerebral autoregulation in the acute phase of stroke and the relationship with clinical outcome

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journal contribution
posted on 2021-11-17, 10:47 authored by Ricardo C Nogueira, Marcel Aries, Jatinder S Minhas, Nils H Petersen, Li Xiong, Jana M Kainerstorfer, Pedro Castro
Acute stroke is associated with high morbidity and mortality. In the last decades, new therapies have been investigated with the aim of improving clinical outcomes in the acute phase post stroke onset. However, despite such advances, a large number of patients do not demonstrate improvement, furthermore, some unfortunately deteriorate. Thus, there is a need for additional treatments targeted to the individual patient. A potential therapeutic target is interventions to optimize cerebral perfusion guided by cerebral hemodynamic parameters such as dynamic cerebral autoregulation (dCA). This narrative led to the development of the INFOMATAS (Identifying New targets FOr Management And Therapy in Acute Stroke) project, designed to foster interventions directed towards understanding and improving hemodynamic aspects of the cerebral circulation in acute cerebrovascular disease states. This comprehensive review aims to summarize relevant studies on assessing dCA in patients suffering acute ischemic stroke, intracerebral haemorrhage, and subarachnoid haemorrhage. The review will provide to the reader the most consistent findings, the inconsistent findings which still need to be explored further and discuss the main limitations of these studies. This will allow for the creation of a research agenda for the use of bedside dCA information for prognostication and targeted perfusion interventions.

History

Citation

Journal of Cerebral Blood Flow & Metabolism, 2021, https://doi.org/10.1177/0271678X211045222

Author affiliation

Department of Cardiovascular Sciences, University of Leicester

Version

  • AM (Accepted Manuscript)

Published in

Journal of Cerebral Blood Flow & Metabolism

Publisher

SAGE Publications

issn

0271-678X

eissn

1559-7016

Acceptance date

2021-08-09

Copyright date

2021

Available date

2021-11-17

Language

en