Literature DB >> 11491159

Monitoring of nonlinear respiratory elastance using a multiple linear regression analysis.

K Muramatsu1, K Yukitake, M Nakamura, I Matsumoto, Y Motohiro.   

Abstract

The elastic pressure/volume (P/V) curve obtained by the multiple linear regression (MLR) technique using a new model, was compared with the quasi-static P/V points obtained by the rapid airway occlusion technique. Seven infants were studied during mechanical ventilation using a pressure controlled mode. The resistive pressure was subtracted from airway opening pressure, thus determining the elastance related pressure, which was then plotted against the volume to make an MLR-elastance curve. Quasi-static P/V curves of the rapid occlusion technique were constructed by plotting the different inspiratory and expiratory volumes against the corresponding values of the quasi-static airway pressure. The calculated MLR-elastance curves closely fit the experimental quasi-static P/V points obtained by the occlusion technique. There were, however, some discrepancies due to the viscoelastic behaviour of the respiratory system. Although slightly altered by these discrepancies, the multiple linear regression-elastance curves did fit the observed quasi-static pressure/volume characteristics for use in clinical practice. The multiple linear regression technique may prove to be clinically useful by continuous monitoring of respiratory system mechanics during mechanical ventilation.

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Year:  2001        PMID: 11491159     DOI: 10.1183/09031936.01.00017801

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  2 in total

1.  The endotracheal tube biases the estimates of pulmonary recruitment and overdistension.

Authors:  Frederico C Jandre; Felipe Cardozo Modesto; Alysson Roncally Silva Carvalho; Antonio Giannella-Neto
Journal:  Med Biol Eng Comput       Date:  2007-10-12       Impact factor: 2.602

2.  Time-varying respiratory system elastance: a physiological model for patients who are spontaneously breathing.

Authors:  Yeong Shiong Chiew; Christopher Pretty; Paul D Docherty; Bernard Lambermont; Geoffrey M Shaw; Thomas Desaive; J Geoffrey Chase
Journal:  PLoS One       Date:  2015-01-22       Impact factor: 3.240

  2 in total

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