Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability

Marit L. Sanders; Jan Willem J. Elting; Ronney B. Panerai; Marcel Aries; Edson Bor-Seng-Shu; Alexander Caicedo; Max Chacon; Erik D. Gommer; Sabine Van Huffel; Jose L. Jara; Kyriaki Kostoglou; Adam Mandi; Vasilis Z. Marmarelis; Georgios D. Mitsis; Martin Muller; Dragana Nikolic; Ricardo C. Nogueira; Stephen J. Payne; Corina Puppo; Dae C. Shin; David M. Simpson; Takashi Tarumi; Bernardo Yelicich; Rong Zhangs; Jurgen A. H. R. Claassen

doi:10.3389/fphys.2019.00865

Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability

Marit L. Sanders, Jan Willem J. Elting, Ronney B. Panerai, Marcel Aries, Edson Bor-Seng-Shu, Alexander Caicedo, Max Chacon, Erik D. Gommer, Sabine Van Huffel, Jose L. Jara, Kyriaki Kostoglou, Adam Mandi, Vasilis Z. Marmarelis, Georgios D. Mitsis, Martin Muller, Dragana Nikolic, Ricardo C. Nogueira, Stephen J. Payne, Corina Puppo, Dae C. ShinDavid M. Simpson, Takashi Tarumi, Bernardo Yelicich, Rong Zhangs, Jurgen A. H. R. Claassen^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

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 <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

Original language	English
Article number	865
Number of pages	11
Journal	Frontiers in physiology
Volume	10
Issue number	JUL
DOIs	https://doi.org/10.3389/fphys.2019.00865
Publication status	Published - 9 Jul 2019

Keywords

ARI index
cerebral blood flow
cerebral hemodynamics
transcranial Doppler
transfer function analysis
ARTERIAL-BLOOD-PRESSURE
SPONTANEOUS FLUCTUATIONS
FLOW REGULATION
ARX MODEL
HEMODYNAMICS
IMPROVES

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Sanders, M. L., Elting, J. W. J., Panerai, R. B., Aries, M., Bor-Seng-Shu, E., Caicedo, A., Chacon, M., Gommer, E. D., Van Huffel, S., Jara, J. L., Kostoglou, K., Mandi, A., Marmarelis, V. Z., Mitsis, G. D., Muller, M., Nikolic, D., Nogueira, R. C., Payne, S. J., Puppo, C., ... Claassen, J. A. H. R. (2019). Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability. Frontiers in physiology, 10(JUL), Article 865. https://doi.org/10.3389/fphys.2019.00865

@article{2bfc443d8ee64639abb079a45b674bb3,

title = "Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability",

abstract = "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 <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",

keywords = "ARI index, cerebral blood flow, cerebral hemodynamics, transcranial Doppler, transfer function analysis, ARTERIAL-BLOOD-PRESSURE, SPONTANEOUS FLUCTUATIONS, FLOW REGULATION, ARX MODEL, HEMODYNAMICS, IMPROVES",

author = "Sanders, {Marit L.} and Elting, {Jan Willem J.} and Panerai, {Ronney B.} and Marcel Aries and Edson Bor-Seng-Shu and Alexander Caicedo and Max Chacon and Gommer, {Erik D.} and {Van Huffel}, Sabine and Jara, {Jose L.} and Kyriaki Kostoglou and Adam Mandi and Marmarelis, {Vasilis Z.} and Mitsis, {Georgios D.} and Martin Muller and Dragana Nikolic and Nogueira, {Ricardo C.} and Payne, {Stephen J.} and Corina Puppo and Shin, {Dae C.} and Simpson, {David M.} and Takashi Tarumi and Bernardo Yelicich and Rong Zhangs and Claassen, {Jurgen A. H. R.}",

note = "Publisher Copyright: Copyright {\textcopyright} 2019 Sanders, Elting, Panerai, Aries, Bor-Seng-Shu, Caicedo, Chacon, Gommer, Van Huffel, Jara, Kostoglou, Mahdi, Marmarelis, Mitsis, M{\"u}ller, Nikolic, Nogueira, Payne, Puppo, Shin, Simpson, Tarumi, Yelicich, Zhang and Claassen.",

year = "2019",

month = jul,

day = "9",

doi = "10.3389/fphys.2019.00865",

language = "English",

volume = "10",

journal = "Frontiers in physiology",

issn = "1664-042X",

publisher = "Frontiers Media S.A.",

number = "JUL",

}

Sanders, ML, Elting, JWJ, Panerai, RB, Aries, M, Bor-Seng-Shu, E, Caicedo, A, Chacon, M, Gommer, ED, Van Huffel, S, Jara, JL, Kostoglou, K, Mandi, A, Marmarelis, VZ, Mitsis, GD, Muller, M, Nikolic, D, Nogueira, RC, Payne, SJ, Puppo, C, Shin, DC, Simpson, DM, Tarumi, T, Yelicich, B, Zhangs, R & Claassen, JAHR 2019, 'Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability', Frontiers in physiology, vol. 10, no. JUL, 865. https://doi.org/10.3389/fphys.2019.00865

TY - JOUR

T1 - Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability

AU - Sanders, Marit L.

AU - Elting, Jan Willem J.

AU - Panerai, Ronney B.

AU - Aries, Marcel

AU - Bor-Seng-Shu, Edson

AU - Caicedo, Alexander

AU - Chacon, Max

AU - Gommer, Erik D.

AU - Van Huffel, Sabine

AU - Jara, Jose L.

AU - Kostoglou, Kyriaki

AU - Mandi, Adam

AU - Marmarelis, Vasilis Z.

AU - Mitsis, Georgios D.

AU - Muller, Martin

AU - Nikolic, Dragana

AU - Nogueira, Ricardo C.

AU - Payne, Stephen J.

AU - Puppo, Corina

AU - Shin, Dae C.

AU - Simpson, David M.

AU - Tarumi, Takashi

AU - Yelicich, Bernardo

AU - Zhangs, Rong

AU - Claassen, Jurgen A. H. R.

N1 - Publisher Copyright: 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.

PY - 2019/7/9

Y1 - 2019/7/9

N2 - 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 <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

AB - 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 <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

KW - ARI index

KW - cerebral blood flow

KW - cerebral hemodynamics

KW - transcranial Doppler

KW - transfer function analysis

KW - ARTERIAL-BLOOD-PRESSURE

KW - SPONTANEOUS FLUCTUATIONS

KW - FLOW REGULATION

KW - ARX MODEL

KW - HEMODYNAMICS

KW - IMPROVES

U2 - 10.3389/fphys.2019.00865

DO - 10.3389/fphys.2019.00865

M3 - Article

SN - 1664-042X

VL - 10

JO - Frontiers in physiology

JF - Frontiers in physiology

IS - JUL

M1 - 865

ER -

Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability

Abstract

Keywords

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