Literature DB >> 1499713

Respiratory mechanics studied by multiple linear regression in unsedated ventilated patients.

R Peslin1, J F da Silva, F Chabot, C Duvivier.   

Abstract

Respiratory mechanics during artificial ventilation are commonly studied with methods which require a specific respiratory pattern. An alternative is to analyse the relationship between tracheal pressure (P) and flow (V') by multiple linear regression (MLR) using a suitable model. The value of this approach was evaluated in 12 unsedated patients, mechanically-ventilated for acute respiratory failure, and most with a history of chronic obstructive or restrictive respiratory disease. After correction for the non-linear resistance of the endotracheal tube, the data were analysed with the linear first order model: P = P0 + E.V + R.V' where E and R are total respiratory elastance and resistance, and P0 is the static recoil pressure at end-expiration. After exclusion of the cycles which clearly exhibited muscular activity, a good fit was observed in 25 out of 36 records (relative root-mean-square error less than 10%); the values of E and R were reproducible within cycles, and consistent with the patient's condition and the ventilatory mode. The intrinsic positive end-expiratory pressure (PEEPi), as derived from P0 and the applied PEEP, averaged 1.1 +/- 1.0 hPa. Using more sophisticated models, allowing for mechanical non-homogeneity or non-linearity of R or E, rarely improved the fit and often provided unrealistic data. In several subjects the discrepancy between the data and the first order model was consistent with expiratory flow limitation, which may severely impair the analysis. We conclude that, except in the case of expiratory flow limitation, the method is useful for routine clinical use and better implemented with the simple linear model.

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Year:  1992        PMID: 1499713

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


  10 in total

1.  Estimation of expiratory time constants via fuzzy clustering.

Authors:  Marlies S Lourens; Lejla Ali; Bart van den Berg; Anton F M Verbraak; Jan M Bogaard; Henk C Hoogsteden; Robert Babuska
Journal:  J Clin Monit Comput       Date:  2002-01       Impact factor: 2.502

2.  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

3.  Thoracic percussion yields reversible mechanical changes in healthy subjects.

Authors:  Fernando S Guimarães; Walter A Zin
Journal:  Eur J Appl Physiol       Date:  2008-06-27       Impact factor: 3.078

4.  Monitoring of total positive end-expiratory pressure during mechanical ventilation by artificial neural networks.

Authors:  Gaetano Perchiazzi; Christian Rylander; Mariangela Pellegrini; Anders Larsson; Göran Hedenstierna
Journal:  J Clin Monit Comput       Date:  2016-04-11       Impact factor: 2.502

5.  Assessment of time-domain analyses for estimation of low-frequency respiratory mechanical properties and impedance spectra.

Authors:  D W Kaczka; G M Barnas; B Suki; K R Lutchen
Journal:  Ann Biomed Eng       Date:  1995 Mar-Apr       Impact factor: 3.934

6.  Effects of fentanyl overdose-induced muscle rigidity and dexmedetomidine on respiratory mechanics and pulmonary gas exchange in sedated rats.

Authors:  Philippe Haouzi; Nicole Tubbs
Journal:  J Appl Physiol (1985)       Date:  2022-04-14

7.  Forced oscillation assessment of respiratory mechanics in ventilated patients.

Authors:  D Navajas; R Farré
Journal:  Crit Care       Date:  2000-12-20       Impact factor: 9.097

8.  Non-invasive assessment of respiratory muscle activity during pressure support ventilation: accuracy of end-inspiration occlusion and least square fitting methods.

Authors:  Giuseppe Natalini; Barbara Buizza; Anna Granato; Eros Aniballi; Luigi Pisani; Gianni Ciabatti; Valeria Lippolis; Antonio Rosano; Nicola Latronico; Salvatore Grasso; Massimo Antonelli; Achille Bernardini
Journal:  J Clin Monit Comput       Date:  2020-07-02       Impact factor: 2.502

9.  Non-interventional monitoring of expiratory flow limitation during experimental mechanical ventilation.

Authors:  Giorgos Marinakis; Michael Paraschos; Maria Patrani; Theodoros Tsoutsouras; Miltos Vassiliou
Journal:  ERJ Open Res       Date:  2021-01-25

10.  Feasibility of titrating PEEP to minimum elastance for mechanically ventilated patients.

Authors:  Yeong Shiong Chiew; Christopher G Pretty; Geoffrey M Shaw; Yeong Woei Chiew; Bernard Lambermont; Thomas Desaive; J Geoffrey Chase
Journal:  Pilot Feasibility Stud       Date:  2015-03-21
  10 in total

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