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Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?
Elting, Jan Willem; Sanders, Marit L; Panerai, Ronney B; Aries, Marcel; Bor-Seng-Shu, Edson; Caicedo, Alexander; Chacon, Max; Gommer, Erik D; Van Huffel, Sabine; Jara, José L; Kostoglou, Kyriaki; Mahdi, Adam; Marmarelis, Vasilis Z; Mitsis, Georgios D; Müller, Martin; Nikolic, Dragana; Nogueira, Ricardo C; Payne, Stephen J; Puppo, Corina; Shin, Dae C; Simpson, David M; Tarumi, Takashi; Yelicich, Bernardo; Zhang, Rong; Claassen, Jurgen A H R.
Affiliation
  • Elting JW; Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands.
  • Sanders ML; Department of Geriatric Medicine, Radboudumc Alzheimer Centre and Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Panerai RB; Department of Cardiovascular Sciences and Leicester Biomedical Research Centre in Cardiovascular Sciences, Glenfield Hospital, Leicester, United Kingdom.
  • Aries M; Department of Intensive Care, University of Maastricht, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Bor-Seng-Shu E; Department of Neurology, Hospital das Clinicas University of Sao Paulo, Sao Paulo, Brazil.
  • Caicedo A; Mathematics and Computer Science, Faculty of Natural Sciences and Mathematics, Universidad del Rosario, Bogotá, Colombia.
  • Chacon M; Departemento de Ingeniería Informática, Universidad de Santiago de Chile, Santiago de Chile, Chile.
  • Gommer ED; Department of Clinical Neurophysiology, University of Maastricht, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Van Huffel S; Department of Electronic Engineering, Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, Katholieke Universiteit Leuven, Leuven, Belgium.
  • Jara JL; Departemento de Ingeniería Informática, Universidad de Santiago de Chile, Santiago de Chile, Chile.
  • Kostoglou K; Department of Electrical, Computer and Software Engineering, McGill University, Montreal, Canada.
  • Mahdi A; Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Marmarelis VZ; Department of Biomedical Engineering, University of Southern California, Los Angeles, California, United States of America.
  • Mitsis GD; Department of Bioengineering, McGill University, Montreal, Canada.
  • Müller M; Department of Neurology, Luzerner Kantonsspital, Luzern, Switzerland.
  • Nikolic D; Institute of Sound and Vibration Research, University of Southampton, Southampton, United Kingdom.
  • Nogueira RC; Department of Neurology, Hospital das Clinicas University of Sao Paulo, Sao Paulo, Brazil.
  • Payne SJ; Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Puppo C; Departamento de Emergencia, Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay.
  • Shin DC; Department of Biomedical Engineering, University of Southern California, Los Angeles, California, United States of America.
  • Simpson DM; Institute of Sound and Vibration Research, University of Southampton, Southampton, United Kingdom.
  • Tarumi T; The Institute for Exercise and Environmental Medicine, Presbyterian Hospital Dallas, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
  • Yelicich B; Departamento de Emergencia, Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay.
  • Zhang R; The Institute for Exercise and Environmental Medicine, Presbyterian Hospital Dallas, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
  • Claassen JAHR; Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands.
PLoS One ; 15(1): e0227651, 2020.
Article in En | MEDLINE | ID: mdl-31923919
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Pressure Determination / Cerebrovascular Circulation / Homeostasis Type of study: Clinical_trials / Prognostic_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2020 Document type: Article Affiliation country: Netherlands Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Pressure Determination / Cerebrovascular Circulation / Homeostasis Type of study: Clinical_trials / Prognostic_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2020 Document type: Article Affiliation country: Netherlands Country of publication: United States