Literature DB >> 10673182

An objective analysis of the pressure-volume curve in the acute respiratory distress syndrome.

R S Harris1, D R Hess, J G Venegas.   

Abstract

To assess the interobserver and intraobserver variability in the clinical evaluation of the quasi-static pressure-volume (P-V) curve, we analyzed 24 sets of inflation and deflation P-V curves obtained from patients with ARDS. We used a recently described sigmoidal equation to curve-fit the P-V data sets and objectively define the point of maximum compliance increase of the inflation limb (P(mci, i)) and the true inflection point of the deflation limb (P(inf,d)). These points were compared with graphic determinations of lower Pflex by seven clinicians. The graphic and curve-fitting methods were also compared for their ability to reproduce the same parameter value in data sets with reduced number of data points. The sigmoidal equation fit the P-V data with great accuracy (R(2) = 0.9992). The average of Pflex determinations was found to be correlated with P(mci,i) (R = 0.89) and P(inf,d) (R = 0.76). Individual determinations of Pflex were less correlated with the corresponding objective parameters (R = 0.67 and 0.62, respectively). Pflex + 2 cm H(2)O was a more accurate estimator of P(inf,d) (2 SD = +/-6.05 cm H(2)O) than Pflex was of P(mci,i) (2 SD = +/-8.02 cm H(2)O). There was significant interobserver variability in Pflex, with a maximum difference of 11 cm H(2)O for the same patient (SD = 1.9 cm H(2)O). Clinicians had difficulty reproducing Pflex in smaller data sets with differences as great as 17 cm H(2)O (SD = 2.8 cm H(2)O). In contrast, the curve-fitting method reproduced P(mci,i) with great accuracy in reduced data sets (maximum difference of 1.5 cm H(2)O and SD = 0.3 cm H(2)O). We conclude that Pflex rarely coincided with the point of maximum compliance increase defined by a sigmoid curve-fit with large differences in Pflex seen both among and within observers. Calculating objective parameters such as P(mci,i) or P(inf,d) from curve-fitted P-V data can minimize this large variability.

Entities:  

Mesh:

Year:  2000        PMID: 10673182     DOI: 10.1164/ajrccm.161.2.9901061

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  33 in total

Review 1.  The pulmonary physician in critical care. 8: Ventilatory management of ALI/ARDS.

Authors:  J J Cordingley; B F Keogh
Journal:  Thorax       Date:  2002-08       Impact factor: 9.139

2.  Effects of positive end-expiratory pressure on the sigmoid equation in experimental acute lung injury.

Authors:  Frederique Bayle; Claude Guerin; Jean-Paul Viale; Jean-Christophe Richard; Guy Annat
Journal:  Intensive Care Med       Date:  2004-09-10       Impact factor: 17.440

3.  Static pressure-volume curve characteristics are moderate estimators of optimal airway pressures in a mathematical model of (primary/pulmonary) acute respiratory distress syndrome.

Authors:  Dick G Markhorst; Huibert R van Genderingen; Adrianus J van Vught
Journal:  Intensive Care Med       Date:  2004-09-15       Impact factor: 17.440

4.  Breath-to-breath analysis of abdominal and rib cage motion in surfactant-depleted piglets during high-frequency oscillatory ventilation.

Authors:  Dick G Markhorst; Jos R C Jansen; Adrianus J van Vught; Huibert R van Genderingen
Journal:  Intensive Care Med       Date:  2005-01-20       Impact factor: 17.440

5.  Effects of continuous negative extra-abdominal pressure on cardiorespiratory function during abdominal hypertension: an experimental study.

Authors:  Franco Valenza; Manuela Irace; Massimiliano Guglielmi; Stefano Gatti; Nicola Bottino; Cecilia Tedesco; Micol Maffioletti; Patrizia Maccagni; Tommaso Fossali; Gabriele Aletti; Luciano Gattinoni
Journal:  Intensive Care Med       Date:  2004-10-26       Impact factor: 17.440

6.  Assessment of airway closure from deflation lung volume-pressure curve: sigmoidal equation revisited.

Authors:  Frédérique Bayle; Claude Guérin; Sophie Debord; Michel Badet; Stéphane Lemasson; Jean-Charles Poupelin; Jean-Christophe Richard
Journal:  Intensive Care Med       Date:  2006-04-07       Impact factor: 17.440

7.  Correlation between alveolar recruitment/derecruitment and inflection points on the pressure-volume curve.

Authors:  Joseph D DiRocco; David E Carney; Gary F Nieman
Journal:  Intensive Care Med       Date:  2007-05-25       Impact factor: 17.440

8.  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

9.  A comparison of methods to identify open-lung PEEP.

Authors:  Maria Paula Caramez; Robert M Kacmarek; Mohamed Helmy; Eriko Miyoshi; Atul Malhotra; Marcelo B P Amato; R Scott Harris
Journal:  Intensive Care Med       Date:  2009-01-31       Impact factor: 17.440

10.  PEEP titration guided by ventilation homogeneity: a feasibility study using electrical impedance tomography.

Authors:  Zhanqi Zhao; Daniel Steinmann; Inéz Frerichs; Josef Guttmann; Knut Möller
Journal:  Crit Care       Date:  2010-01-30       Impact factor: 9.097

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.