Review of studies on dynamic cerebral autoregulation in the acute phase of stroke and the relationship with clinical outcome. Issue 3 (March 2022)

• Record Type: Journal Article
• Authors: Nogueira, Ricardo C; Aries, Marcel; Minhas, Jatinder S; H Petersen, Nils; Xiong, Li; Kainerstorfer, Jana M; Castro, Pedro
• Is Part Of: Journal of cerebral blood flow & metabolism. Volume 42:Issue 3(2022)
• Page Start: 430
• Page End: 453
• Publication Date: 2022-03
• Subjects: Ischemic stroke -- dynamic cerebral autoregulation -- cerebral perfusion -- clinical outcome -- INFOMATAS; Cerebral circulation -- Periodicals; Brain -- Metabolism -- Periodicals; Brain -- Blood-vessels -- Periodicals; Cerebrovascular disease -- Periodicals; 612.824
• DOI: 10.1177/0271678X211045222
• Languages: English
• ISSNs: 0271-678X

Abstract

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.