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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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. |
format | Online Article Text |
id | pubmed-6954074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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