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Transfer function analysis of dynamic cerebral autoregulation: a CARNet white paper 2022 update

Version 2 2023-11-16, 16:20
Version 1 2022-08-08, 09:42
journal contribution
posted on 2022-08-08, 09:42 authored by Ronney Panerai, Patrice Brassard, Joel S Burma, Pedro Castro, Jurgen AHR Claassen, Johannes J van Lieshout, Jia Liu, Samuel JE Lucas, Jatinder S Minhas, Georgios D. Mitsis, Ricardo C. Nogueira, Shigehiko Ogoh, Stephen J Payne, Caroline A. Rickards, Andrew D. Robertson, Gabriel D Rodrigues, Jonathan D Smirl, David M. Simpson, Cerebrovascular Research Network (CARNet)

Cerebral autoregulation (CA) refers to the control of cerebral tissue blood flow (CBF) in response tochanges in perfusion pressure. Due to the challenges of measuring intracranial pressure, CA is oftendescribed as the relationship between mean arterial pressure (MAP) and CBF. Dynamic CA (dCA) canbe assessed using multiple techniques, with transfer function analysis (TFA) being the most common.A 2016 white paper by members of an international Cerebrovascular Research Network (CARNet)that is focused on CA strove to improve TFA standardization by way of introducing data acquisition,analysis, and reporting guidelines. Since then, additional evidence has allowed for the improvementand refinement of the original recommendations, as well as for the inclusion of new guidelines toreflect recent advances in the field. This second edition of the white paper contains more robust,evidence-based   recommendations,   which   have   been   expanded   to   address   current   streams   ofinquiry, including optimizing MAP variability, acquiring CBF estimates from alternative methods,estimating   alternative   dCA   metrics,   and   incorporating   dCA   quantification   into   clinical   trials.Implementation of these new and revised recommendations is important to improve the reliabilityand   reproducibility   of   dCA   studies,   and   to   facilitate   inter-institutional   collaboration   and   thecomparison of results between studies.

History

Author affiliation

Department of Cardiovascular Sciences, University of Leicester

Version

  • AM (Accepted Manuscript)

Published in

Journal of Cerebral Blood Flow and Metabolism

Publisher

SAGE Publications

issn

0271-678X

Acceptance date

2022-07-17

Copyright date

2022

Publisher DOI

Language

en

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