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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Autores Principales: 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
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/24099
https://doi.org/10.3389/fphys.2019.00865
id ir-10336-24099
recordtype dspace
spelling 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
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score 12,131701