Dynamic cerebral autoregulation reproducibility is affected by physiological variability
Parameters describing dynamic cerebral autoregulation (DCA) have limited reproducibility. In an international, multi-center study, we evaluated the influence of multiple analytical methods on the reproducibility of DCA. Fourteen participating centers analyzed repeated measurements from 75 healthy su...
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ir-10336-240992022-05-02T12:37:14Z Dynamic cerebral autoregulation reproducibility is affected by physiological variability Sanders, Marit L. Elting, Jan Willem J. Panerai, Ronney B. Aries, Marcel Bor-Seng-Shu, Edson 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. Caicedo Dorado, Alexander Adult Analytic method Article Autoregulation Autoregulation index Blood flow velocity Blood pressure fluctuation Brain blood flow Correlation coefficient Dynamic cerebral autoregulation End tidal carbon dioxide tension Female Fourier transformation Hemodynamic parameters Human Human experiment Male Mean arterial pressure Middle aged Mild cognitive impairment Normal human Physiological process Reproducibility Transfer function analysis Ari index Cerebral blood flow Cerebral hemodynamics Transcranial doppler Transfer function analysis Parameters describing dynamic cerebral autoregulation (DCA) have limited reproducibility. In an international, multi-center study, we evaluated the influence of multiple analytical methods on the reproducibility of DCA. Fourteen participating centers analyzed repeated measurements from 75 healthy subjects, consisting of 5 min of spontaneous fluctuations in blood pressure and cerebral blood flow velocity signals, based on their usual methods of analysis. DCA methods were grouped into three broad categories, depending on output types: (1) transfer function analysis (TFA); (2) autoregulation index (ARI); and (3) correlation coefficient. Only TFA gain in the low frequency (LF) band showed good reproducibility in approximately half of the estimates of gain, defined as an intraclass correlation coefficient (ICC) of > 0.6. None of the other DCA metrics had good reproducibility. For TFA-like and ARI-like methods, ICCs were lower than values obtained with surrogate data (p less than 0.05). For TFA-like methods, ICCs were lower for the very LF band (gain 0.38 ± 0.057, phase 0.17 ± 0.13) than for LF band (gain 0.59 ± 0.078, phase 0.39 ± 0.11, p ? 0.001 for both gain and phase). For ARI-like methods, the mean ICC was 0.30 ± 0.12 and for the correlation methods 0.24 ± 0.23. Based on comparisons with ICC estimates obtained from surrogate data, we conclude that physiological variability or non-stationarity is likely to be the main reason for the poor reproducibility of DCA parameters. Copyright © 2019 Sanders, Elting, Panerai, Aries, Bor-Seng-Shu, Caicedo, Chacon, Gommer, Van Huffel, Jara, Kostoglou, Mahdi, Marmarelis, Mitsis, Müller, Nikolic, Nogueira, Payne, Puppo, Shin, Simpson, Tarumi, Yelicich, Zhang and Claassen. 2019 2020-05-26T00:08:37Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 1664042X https://repository.urosario.edu.co/handle/10336/24099 https://doi.org/10.3389/fphys.2019.00865 eng info:eu-repo/semantics/openAccess application/pdf Frontiers Media S.A. instname:Universidad del Rosario |
institution |
EdocUR - Universidad del Rosario |
collection |
DSpace |
language |
Inglés (English) |
topic |
Adult Analytic method Article Autoregulation Autoregulation index Blood flow velocity Blood pressure fluctuation Brain blood flow Correlation coefficient Dynamic cerebral autoregulation End tidal carbon dioxide tension Female Fourier transformation Hemodynamic parameters Human Human experiment Male Mean arterial pressure Middle aged Mild cognitive impairment Normal human Physiological process Reproducibility Transfer function analysis Ari index Cerebral blood flow Cerebral hemodynamics Transcranial doppler Transfer function analysis |
spellingShingle |
Adult Analytic method Article Autoregulation Autoregulation index Blood flow velocity Blood pressure fluctuation Brain blood flow Correlation coefficient Dynamic cerebral autoregulation End tidal carbon dioxide tension Female Fourier transformation Hemodynamic parameters Human Human experiment Male Mean arterial pressure Middle aged Mild cognitive impairment Normal human Physiological process Reproducibility Transfer function analysis Ari index Cerebral blood flow Cerebral hemodynamics Transcranial doppler Transfer function analysis Sanders, Marit L. Elting, Jan Willem J. Panerai, Ronney B. Aries, Marcel Bor-Seng-Shu, Edson 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. Caicedo Dorado, Alexander Dynamic cerebral autoregulation reproducibility is affected by physiological variability |
description |
Parameters describing dynamic cerebral autoregulation (DCA) have limited reproducibility. In an international, multi-center study, we evaluated the influence of multiple analytical methods on the reproducibility of DCA. Fourteen participating centers analyzed repeated measurements from 75 healthy subjects, consisting of 5 min of spontaneous fluctuations in blood pressure and cerebral blood flow velocity signals, based on their usual methods of analysis. DCA methods were grouped into three broad categories, depending on output types: (1) transfer function analysis (TFA); (2) autoregulation index (ARI); and (3) correlation coefficient. Only TFA gain in the low frequency (LF) band showed good reproducibility in approximately half of the estimates of gain, defined as an intraclass correlation coefficient (ICC) of > 0.6. None of the other DCA metrics had good reproducibility. For TFA-like and ARI-like methods, ICCs were lower than values obtained with surrogate data (p less than 0.05). For TFA-like methods, ICCs were lower for the very LF band (gain 0.38 ± 0.057, phase 0.17 ± 0.13) than for LF band (gain 0.59 ± 0.078, phase 0.39 ± 0.11, p ? 0.001 for both gain and phase). For ARI-like methods, the mean ICC was 0.30 ± 0.12 and for the correlation methods 0.24 ± 0.23. Based on comparisons with ICC estimates obtained from surrogate data, we conclude that physiological variability or non-stationarity is likely to be the main reason for the poor reproducibility of DCA parameters. Copyright © 2019 Sanders, Elting, Panerai, Aries, Bor-Seng-Shu, Caicedo, Chacon, Gommer, Van Huffel, Jara, Kostoglou, Mahdi, Marmarelis, Mitsis, Müller, Nikolic, Nogueira, Payne, Puppo, Shin, Simpson, Tarumi, Yelicich, Zhang and Claassen. |
format |
Artículo (Article) |
author |
Sanders, Marit L. Elting, Jan Willem J. Panerai, Ronney B. Aries, Marcel Bor-Seng-Shu, Edson 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. Caicedo Dorado, Alexander |
author_facet |
Sanders, Marit L. Elting, Jan Willem J. Panerai, Ronney B. Aries, Marcel Bor-Seng-Shu, Edson 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. Caicedo Dorado, Alexander |
author_sort |
Sanders, Marit L. |
title |
Dynamic cerebral autoregulation reproducibility is affected by physiological variability |
title_short |
Dynamic cerebral autoregulation reproducibility is affected by physiological variability |
title_full |
Dynamic cerebral autoregulation reproducibility is affected by physiological variability |
title_fullStr |
Dynamic cerebral autoregulation reproducibility is affected by physiological variability |
title_full_unstemmed |
Dynamic cerebral autoregulation reproducibility is affected by physiological variability |
title_sort |
dynamic cerebral autoregulation reproducibility is affected by physiological variability |
publisher |
Frontiers Media S.A. |
publishDate |
2019 |
url |
https://repository.urosario.edu.co/handle/10336/24099 https://doi.org/10.3389/fphys.2019.00865 |
_version_ |
1740172477860937728 |
score |
12,131701 |