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A network physiology approach to oxygen saturation variability during normobaric hypoxia

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A network physiology approach to oxygen saturation variability during normobaric hypoxia. / Jiang, Yuji; Costello, Joseph T.; Williams, Thomas B.; Panyapiean, Nawamin; Bhogal, Amar S.; Tipton, Michael J.; Corbett, Jo; Mani, Ali R.

In: Experimental Physiology, Vol. 106, 01.01.2021, p. 151-159.

Research output: Contribution to journalArticlepeer-review

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Jiang, Yuji ; Costello, Joseph T. ; Williams, Thomas B. ; Panyapiean, Nawamin ; Bhogal, Amar S. ; Tipton, Michael J. ; Corbett, Jo ; Mani, Ali R. / A network physiology approach to oxygen saturation variability during normobaric hypoxia. In: Experimental Physiology. 2021 ; Vol. 106. pp. 151-159.

Bibtex

@article{36d449f4535a49c2ba37ec9383e2ab1c,
title = "A network physiology approach to oxygen saturation variability during normobaric hypoxia",
abstract = "Peripheral capillary oxygen saturation (SpO2 ) exhibits a complex pattern of fluctuations during hypoxia. The physiological interpretation of SpO2 variability is not well understood. In this study, we tested the hypothesis that SpO2 fluctuation carries information about integrated cardio-respiratory control in healthy individuals using a network physiology approach. We explored the use of transfer entropy in order to compute the flow of information between cardio-respiratory signals during hypoxia. Twelve healthy males (mean (SD) age 22 (4) years) were exposed to four simulated environments (fraction of inspired oxygen (FIO2 ): 0.12, 0.145, 0.17, and 0.2093) for 45 min, in a single blind randomized controlled design. The flow of information between different physiological parameters (SpO2 , respiratory frequency, tidal volume, minute ventilation, heart rate, end-tidal pressure of O2 and CO2) were analysed using transfer entropy. Normobaric hypoxia was associated with a significant increase in entropy of the SpO2 time series. The transfer entropy analysis showed that, particularly at FIO2 0.145 and 0.12, the flow of information between SpO2 and other physiological variables exhibits a bidirectional relationship. While reciprocal interactions were observed between different cardio-respiratory parameters during hypoxia, SpO2 remained the main hub of this network. SpO2 fluctuations during graded hypoxia exposure carry information about cardio-respiratory control. Therefore, SpO2 entropy analysis has the potential for non-invasive assessment of the functional connectivity of respiratory control system in various healthcare settings.",
keywords = "altitude, hypoxic, sample entropy, SpO2, transfer entropy",
author = "Yuji Jiang and Costello, {Joseph T.} and Williams, {Thomas B.} and Nawamin Panyapiean and Bhogal, {Amar S.} and Tipton, {Michael J.} and Jo Corbett and Mani, {Ali R.}",
year = "2021",
month = jan,
day = "1",
doi = "10.1113/EP088755",
language = "English",
volume = "106",
pages = "151--159",
journal = "Experimental Physiology",
issn = "0958-0670",
publisher = "Wiley-Blackwell",

}

RIS

TY - JOUR

T1 - A network physiology approach to oxygen saturation variability during normobaric hypoxia

AU - Jiang, Yuji

AU - Costello, Joseph T.

AU - Williams, Thomas B.

AU - Panyapiean, Nawamin

AU - Bhogal, Amar S.

AU - Tipton, Michael J.

AU - Corbett, Jo

AU - Mani, Ali R.

PY - 2021/1/1

Y1 - 2021/1/1

N2 - Peripheral capillary oxygen saturation (SpO2 ) exhibits a complex pattern of fluctuations during hypoxia. The physiological interpretation of SpO2 variability is not well understood. In this study, we tested the hypothesis that SpO2 fluctuation carries information about integrated cardio-respiratory control in healthy individuals using a network physiology approach. We explored the use of transfer entropy in order to compute the flow of information between cardio-respiratory signals during hypoxia. Twelve healthy males (mean (SD) age 22 (4) years) were exposed to four simulated environments (fraction of inspired oxygen (FIO2 ): 0.12, 0.145, 0.17, and 0.2093) for 45 min, in a single blind randomized controlled design. The flow of information between different physiological parameters (SpO2 , respiratory frequency, tidal volume, minute ventilation, heart rate, end-tidal pressure of O2 and CO2) were analysed using transfer entropy. Normobaric hypoxia was associated with a significant increase in entropy of the SpO2 time series. The transfer entropy analysis showed that, particularly at FIO2 0.145 and 0.12, the flow of information between SpO2 and other physiological variables exhibits a bidirectional relationship. While reciprocal interactions were observed between different cardio-respiratory parameters during hypoxia, SpO2 remained the main hub of this network. SpO2 fluctuations during graded hypoxia exposure carry information about cardio-respiratory control. Therefore, SpO2 entropy analysis has the potential for non-invasive assessment of the functional connectivity of respiratory control system in various healthcare settings.

AB - Peripheral capillary oxygen saturation (SpO2 ) exhibits a complex pattern of fluctuations during hypoxia. The physiological interpretation of SpO2 variability is not well understood. In this study, we tested the hypothesis that SpO2 fluctuation carries information about integrated cardio-respiratory control in healthy individuals using a network physiology approach. We explored the use of transfer entropy in order to compute the flow of information between cardio-respiratory signals during hypoxia. Twelve healthy males (mean (SD) age 22 (4) years) were exposed to four simulated environments (fraction of inspired oxygen (FIO2 ): 0.12, 0.145, 0.17, and 0.2093) for 45 min, in a single blind randomized controlled design. The flow of information between different physiological parameters (SpO2 , respiratory frequency, tidal volume, minute ventilation, heart rate, end-tidal pressure of O2 and CO2) were analysed using transfer entropy. Normobaric hypoxia was associated with a significant increase in entropy of the SpO2 time series. The transfer entropy analysis showed that, particularly at FIO2 0.145 and 0.12, the flow of information between SpO2 and other physiological variables exhibits a bidirectional relationship. While reciprocal interactions were observed between different cardio-respiratory parameters during hypoxia, SpO2 remained the main hub of this network. SpO2 fluctuations during graded hypoxia exposure carry information about cardio-respiratory control. Therefore, SpO2 entropy analysis has the potential for non-invasive assessment of the functional connectivity of respiratory control system in various healthcare settings.

KW - altitude

KW - hypoxic

KW - sample entropy

KW - SpO2

KW - transfer entropy

UR - https://onlinelibrary.wiley.com/doi/abs/10.1113/EP088755

U2 - 10.1113/EP088755

DO - 10.1113/EP088755

M3 - Article

VL - 106

SP - 151

EP - 159

JO - Experimental Physiology

JF - Experimental Physiology

SN - 0958-0670

ER -

ID: 21954001