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

We tested the influence of blood pressure variability on the reproducibility of dynamic cerebral autoregulation (DCA) estimates. Data were analyzed from the 2(nd) CARNet bootstrap initiative, where mean arterial blood pressure (MABP), cerebral blood flow velocity (CBFV) and end tidal CO2 were measur...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954074/
https://www.ncbi.nlm.nih.gov/pubmed/31923919
http://dx.doi.org/10.1371/journal.pone.0227651
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author 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.
author_facet 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.
author_sort Elting, Jan Willem
collection PubMed
description We tested the influence of blood pressure variability on the reproducibility of dynamic cerebral autoregulation (DCA) estimates. Data were analyzed from the 2(nd) 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.
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spelling pubmed-69540742020-01-21 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. PLoS One Research Article We tested the influence of blood pressure variability on the reproducibility of dynamic cerebral autoregulation (DCA) estimates. Data were analyzed from the 2(nd) 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. Public Library of Science 2020-01-10 /pmc/articles/PMC6954074/ /pubmed/31923919 http://dx.doi.org/10.1371/journal.pone.0227651 Text en © 2020 Elting et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
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.
Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?
title Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?
title_full Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?
title_fullStr Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?
title_full_unstemmed Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?
title_short Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?
title_sort assessment of dynamic cerebral autoregulation in humans: is reproducibility dependent on blood pressure variability?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954074/
https://www.ncbi.nlm.nih.gov/pubmed/31923919
http://dx.doi.org/10.1371/journal.pone.0227651
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