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Generalized estimation of the ventilatory distribution from the multiple-breath washout: a bench evaluation study.
Motta-Ribeiro, Gabriel Casulari; Jandre, Frederico Caetano; Wrigge, Hermann; Giannella-Neto, Antonio.
Afiliación
  • Motta-Ribeiro GC; Pulmonary Engineering Laboratory, Biomedical Engineering Programme, COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Jandre FC; Pulmonary Engineering Laboratory, Biomedical Engineering Programme, COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Wrigge H; Department of Anesthesiology and Intensive Care Medicine, University of Leipzig, Leipzig, Germany.
  • Giannella-Neto A; Pulmonary Engineering Laboratory, Biomedical Engineering Programme, COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil. agn@peb.ufrj.br.
Biomed Eng Online ; 17(1): 3, 2018 Jan 15.
Article en En | MEDLINE | ID: mdl-29335011
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Respiración / Respiración Artificial / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Biomed Eng Online Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2018 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Respiración / Respiración Artificial / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Biomed Eng Online Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2018 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido