Generalized estimation of the ventilatory distribution from the multiple-breath washout: A bench evaluation study

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Abstract

Background: The multiple-breath washout (MBW) is able to provide information about the distribution of ventilation-to-volume (v/V) ratios in the lungs. However, the classical, all-parallel model may return skewed results due to the mixing effect of a common dead space. The aim of this work is to examine whether a novel mathematical model and algorithm is able to estimate v/V of a physical model, and to compare its results with those of the classical model. The novel model takes into account a dead space in series with the parallel ventilated compartments, allows for variable tidal volume (VT) and end-expiratory lung volume (EELV), and does not require a ideal step change of the inert gas concentration. Methods: Two physical models with preset v/V units and a common series dead space (vd) were built and mechanically ventilated. The models underwent MBW with N2 as inert gas, throughout which flow and N2 concentration signals were acquired. Distribution of v/V was estimated-via nonnegative least squares, with Tikhonov regularization-with the classical, all-parallel model (with and without correction for non-ideal inspiratory N2 step) and with the new, generalized model including breath-by-breath vd estimates given by the Fowler method (with and without constrained VT and EELV). Results: The v/V distributions estimated with constrained EELV and VT by the generalized model were practically coincident with the actual v/V distribution for both physical models. The v/V distributions calculated with the classical model were shifted leftwards and broader as compared to the reference. Conclusions: The proposed model and algorithm provided better estimates of v/V than the classical model, particularly with constrained VT and EELV.

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Motta-Ribeiro, G. C., Jandre, F. C., Wrigge, H., & Giannella-Neto, A. (2018). Generalized estimation of the ventilatory distribution from the multiple-breath washout: A bench evaluation study. BioMedical Engineering Online, 17(1). https://doi.org/10.1186/s12938-018-0442-3

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