Title Characterisation of the acute hypoxic response using breathing variability parameters: A pilot study in humans.
Author Kohlbrenner, Dario; Marillier, Mathieu; Randy, Hugo; Ghaith, Abdallah; Furian, Michael; Verges, Samuel
Journal Respir Physiol Neurobiol Publication Year/Month 2023-Jun
PMID 37355056 PMCID -N/A-
Affiliation + expend 1.HP2 Laboratory, INSERM, Grenoble Alpes University, Grenoble, France; Faculty of Medicine, University of Zurich, Zurich, Switzerland; Department of Pulmonology, University Hospital Zurich, Zurich, Switzerland. Electronic address: dario.kohlbrenner@usz.ch.

PURPOSE: We aimed to investigate respiratory rate variability (RRV) and tidal volume (V(t)) variability during exposure to normobaric hypoxia (i.e., reduction in the fraction of inspired oxygen - FiO(2)), and the association of the changes in RRV and V(t) variability with the changes in pulse oxygen saturation (SpO(2)). METHODS: Thirty healthy human participants (15 females) were exposed to: (1) 15-min normoxia, (2) 10-min hypoxia simulating 2200 m, (3) 10-min hypoxia simulating 4000 m, (4) 10-min hypoxia simulating 5000 m, (5) 15-min recovery in normoxia. Linear regression modelling was applied with SpO(2) (dependent variable) and the changes in RRV and V(t) variability (independent variables), controlling for FiO(2), age, sex, changes in heart rate (HR), changes in HR variability (HRV), and changes in minute ventilation (V(E)). RESULTS: When modelling breathing parameter variability as root-mean-square standard deviation (RMSSD), a significant independent association of the changes in RRV with the changes in SpO(2) was found (B = -4.3e-04, 95% CI = -8.3e-04/-2.1e-05, p = 0.04). The changes in V(t) variability showed no significant association with the changes in SpO(2) (B = -1.6, 95% CI = -5.5/2.4, p = 0.42). When modelling parameters variability as SD, a significant independent association of the changes in RRV with the changes in SpO(2) was found (B = -8.2e-04, 95% CI = -1.5e-03/-9.4e-05, p = 0.03). The changes in V(t) variability showed no significant association with the changes in SpO(2) (B=1.4, 95% CI = -5.8/8.6, p = 0.69). CONCLUSION: Higher RRV is independently associated with lower SpO(2) during acute hypoxic exposure, while V(t) variability parameters are not. Therefore, RRV may be a potentially interesting parameter to characterize individual responses to acute hypoxia.

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