Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?

Autoři: Jan Willem Elting aff001;  Marit L. Sanders aff002;  Ronney B. Panerai aff003;  Marcel Aries aff004;  Edson Bor-Seng-Shu aff005;  Alexander Caicedo aff006;  Max Chacon aff007;  Erik D. Gommer aff008;  Sabine Van Huffel aff009;  José L. Jara aff007;  Kyriaki Kostoglou aff010;  Adam Mahdi aff011;  Vasilis Z. Marmarelis aff012;  Georgios D. Mitsis aff013;  Martin Müller aff014;  Dragana Nikolic aff015;  Ricardo C. Nogueira aff005;  Stephen J. Payne aff011;  Corina Puppo aff016;  Dae C. Shin aff012;  David M. Simpson aff015;  Takashi Tarumi aff017;  Bernardo Yelicich aff016;  Rong Zhang aff017;  Jurgen A. H. R. Claassen aff001
Působiště autorů: Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands aff001;  Department of Geriatric Medicine, Radboudumc Alzheimer Centre and Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands aff002;  Department of Cardiovascular Sciences and Leicester Biomedical Research Centre in Cardiovascular Sciences, Glenfield Hospital, Leicester, United Kingdom aff003;  Department of Intensive Care, University of Maastricht, Maastricht University Medical Center, Maastricht, The Netherlands aff004;  Department of Neurology, Hospital das Clinicas University of Sao Paulo, Sao Paulo, Brazil aff005;  Mathematics and Computer Science, Faculty of Natural Sciences and Mathematics, Universidad del Rosario, Bogotá, Colombia aff006;  Departemento de Ingeniería Informática, Universidad de Santiago de Chile, Santiago de Chile, Chile aff007;  Department of Clinical Neurophysiology, University of Maastricht, Maastricht University Medical Center, Maastricht, The Netherlands aff008;  Department of Electronic Engineering, Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, Katholieke Universiteit Leuven, Leuven, Belgium aff009;  Department of Electrical, Computer and Software Engineering, McGill University, Montreal, Canada aff010;  Department of Engineering Science, University of Oxford, Oxford, United Kingdom aff011;  Department of Biomedical Engineering, University of Southern California, Los Angeles, California, United States of America aff012;  Department of Bioengineering, McGill University, Montreal, Canada aff013;  Department of Neurology, Luzerner Kantonsspital, Luzern, Switzerland aff014;  Institute of Sound and Vibration Research, University of Southampton, Southampton, United Kingdom aff015;  Departamento de Emergencia, Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay aff016;  The Institute for Exercise and Environmental Medicine, Presbyterian Hospital Dallas, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America aff017
Vyšlo v časopise: PLoS ONE 15(1)
Kategorie: Research Article
doi: 10.1371/journal.pone.0227651


We tested the influence of blood pressure variability on the reproducibility of dynamic cerebral autoregulation (DCA) estimates. Data were analyzed from the 2nd CARNet bootstrap initiative, where mean arterial blood pressure (MABP), cerebral blood flow velocity (CBFV) and end tidal CO2 were measured twice in 75 healthy subjects. DCA was analyzed by 14 different centers with a variety of different analysis methods. Intraclass Correlation (ICC) values increased significantly when subjects with low power spectral density MABP (PSD-MABP) values were removed from the analysis for all gain, phase and autoregulation index (ARI) parameters. Gain in the low frequency band (LF) had the highest ICC, followed by phase LF and gain in the very low frequency band. No significant differences were found between analysis methods for gain parameters, but for phase and ARI parameters, significant differences between the analysis methods were found. Alternatively, the Spearman-Brown prediction formula indicated that prolongation of the measurement duration up to 35 minutes may be needed to achieve good reproducibility for some DCA parameters. We conclude that poor DCA reproducibility (ICC<0.4) can improve to good (ICC > 0.6) values when cases with low PSD-MABP are removed, and probably also when measurement duration is increased.

Klíčová slova:

Bioassays and physiological analysis – Blood flow – Blood pressure – Cerebral blood flow assay – Hypertension – Monte Carlo method – Reproducibility – Reproductive physiology


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