Literature DB >> 9762774

Measurement of overinflation by multiple linear regression analysis in patients with acute lung injury.

A D Bersten1.   

Abstract

Strategies to optimize alveolar recruitment and prevent lung overinflation are central to ventilatory management of patients with acute lung injury (ALI). The recent description of overinflation using multilinear regression analysis of airway pressure (Paw) and flow (V') data allows a functional assessment of lung mechanics. However, this technique has not been studied in ALI patients. During 15 positive end-expiratory pressure (PEEP) trials in 10 ALI patients, respiratory elastance was partitioned into volume-independent (E1) and volume-dependent (E2VT) components, where Paw=(E1+E2VT)V+RrsV'+Po; where V is volume, VT is tidal volume, Rrs is respiratory resistance and Po is static recoil pressure at end-expiration (equivalent to total PEEP). Then, %E2 was calculated as (100E2VT)/(E1+E2VT); a measure of lung overinflation when %E2>30%. Alveolar recruitment, assessed as a PEEP-induced increase in V>50 mL at a constant Paw occurred in 14 of 15 trials (299+/-34 mL, mean+/-SEM), but was independent of the degree of lung inflation. Lung overinflation was common (six of 15 clinically set PEEP levels) and occurred despite a dynamic elastic distending pressure (Pel,dyn) <30 cmH2O during 18 of 36 PEEP titrations. During a PEEP titration the resultant %E2 was directly related to delta(peak airway pressure-Po) (rs=0.86, p<0.001) and delta(Pel,dyn-Po) (rs=0.89, p<0.001). The 95% predictive intervals for a 2 cmH2O change in either driving pressure were %E2 values of 30.4-68.1% and 32.8-69.2%, respectively. Single or continuous measurement of %E2 (a measure of lung inflation) is a readily available method for titrating ventilatory parameters. Further, during a positive end-expiratory pressure titration a change in ventilatory driving pressure > or =2 cmH2O is indicative of overinflation.

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Year:  1998        PMID: 9762774     DOI: 10.1183/09031936.98.12030526

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


  10 in total

1.  Monitoring of intratidal lung mechanics: a Graphical User Interface for a model-based decision support system for PEEP-titration in mechanical ventilation.

Authors:  S Buehler; S Lozano-Zahonero; S Schumann; J Guttmann
Journal:  J Clin Monit Comput       Date:  2014-02-19       Impact factor: 2.502

2.  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

Review 3.  Respiratory system dynamical mechanical properties: modeling in time and frequency domain.

Authors:  Alysson Roncally Carvalho; Walter Araujo Zin
Journal:  Biophys Rev       Date:  2011-05-19

4.  Alveolar Tidal recruitment/derecruitment and Overdistension During Four Levels of End-Expiratory Pressure with Protective Tidal Volume During Anesthesia in a Murine Lung-Healthy Model.

Authors:  Joao Henrique Neves Soares; Alysson Roncally Carvalho; Bruno Curty Bergamini; Maria Alice Kuster Gress; Frederico Caetano Jandre; Walter Araujo Zin; Antonio Giannella-Neto
Journal:  Lung       Date:  2018-02-12       Impact factor: 2.584

5.  Ability of dynamic airway pressure curve profile and elastance for positive end-expiratory pressure titration.

Authors:  Alysson R Carvalho; Peter M Spieth; Paolo Pelosi; Marcos F Vidal Melo; Thea Koch; Frederico C Jandre; Antonio Giannella-Neto; Marcelo Gama de Abreu
Journal:  Intensive Care Med       Date:  2008-09-30       Impact factor: 17.440

6.  Bedside estimation of recruitable alveolar collapse and hyperdistension by electrical impedance tomography.

Authors:  Eduardo L V Costa; João Batista Borges; Alexandre Melo; Fernando Suarez-Sipmann; Carlos Toufen; Stephan H Bohm; Marcelo B P Amato
Journal:  Intensive Care Med       Date:  2009-03-03       Impact factor: 17.440

7.  Cardiac output estimation using pulmonary mechanics in mechanically ventilated patients.

Authors:  Ashwath Sundaresan; J Geoffrey Chase; Christopher E Hann; Geoffrey M Shaw
Journal:  Biomed Eng Online       Date:  2010-11-25       Impact factor: 2.819

8.  Model-based optimal PEEP in mechanically ventilated ARDS patients in the intensive care unit.

Authors:  Ashwath Sundaresan; J Geoffrey Chase; Geoffrey M Shaw; Yeong Shiong Chiew; Thomas Desaive
Journal:  Biomed Eng Online       Date:  2011-07-27       Impact factor: 2.819

9.  Analysis of different model-based approaches for estimating dFRC for real-time application.

Authors:  Erwin J van Drunen; J Geoffrey Chase; Yeong Shiong Chiew; Geoffrey M Shaw; Thomas Desaive
Journal:  Biomed Eng Online       Date:  2013-01-31       Impact factor: 2.819

10.  Comparison between Variable and Conventional Volume-Controlled Ventilation on Cardiorespiratory Parameters in Experimental Emphysema.

Authors:  Isabela Henriques; Gisele A Padilha; Robert Huhle; Caio Wierzchon; Paulo J B Miranda; Isalira P Ramos; Nazareth Rocha; Fernanda F Cruz; Raquel S Santos; Milena V de Oliveira; Sergio A Souza; Regina C Goldenberg; Ronir R Luiz; Paolo Pelosi; Marcelo G de Abreu; Pedro L Silva; Patricia R M Rocco
Journal:  Front Physiol       Date:  2016-06-30       Impact factor: 4.566

  10 in total

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