Model analysis of multiple breath nitrogen washout data: robustness to variations in breathing pattern.

Autor: Bates, Jason H. T., Milne, Stephen, Handley, Blake M., Rutting, Sandra, Chapman, David G., King, Gregory G., Farah, Claude S., Robinson, Paul D., Thamrin, Cindy
Zdroj: Journal of Clinical Monitoring & Computing; Apr2023, Vol. 37 Issue 2, p409-420, 12p
Abstrakt: We recently developed a model-based method for analyzing multiple breath nitrogen washout data that does not require identification of Phase-III. In the present study, we assessed the effect of irregular breathing patterns on the intra-subject variabilities of the model parameters. Nitrogen fraction at the mouth was measured in 18 healthy and 20 asthmatic subjects during triplicate performances of multiple breath nitrogen washout, during controlled (target tidal volume 1 L at 8–12 breaths per minute) and free (unrestricted) breathing. The parameters Scond, Sacin and functional residual capacity (FRC) were obtained by conventional analysis of the slope of Phase-III. Fitting the model to the washout data provided functional residual capacity (FRCM), dead space volume (VD), the coefficient of variation of regional specific ventilation ( C V , V ˙ e ), and the model equivalent of Sacin (Sacin-M). Intra-participant coefficients of variation for the model parameters for both health and asthma were FRCM < 5.2%, VD < 5.4%, C V , V ˙ e < 9.0%, and Sacin-M < 45.6% for controlled breathing, and FRCM < 4.6%, VD < 5.3%, C V , V ˙ e < 13.2%, and Sacin-M < 103.2% for free breathing. The coefficients of variation limits for conventional parameters were FRC < 6.1%, with Scond < 73.6% and Sacin < 49.2% for controlled breathing and Scond < 35.0% and Sacin < 74.4% for free breathing. The model-fitting approach to multiple breath nitrogen washout analysis provides a measure of regional ventilation heterogeneity in C V , V ˙ e that is less affected by irregularities in the breathing pattern than its corresponding Phase-III slope analysis parameter Scond. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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