Literature DB >> 2676950

Determinants and limits of pressure-preset ventilation: a mathematical model of pressure control.

J J Marini1, P S Crooke, J D Truwit.   

Abstract

In recent years, four square-wave modes of pressure-preset mechanical ventilation (PPV)--pressure control, pressure support, inverse ratio, and airway pressure release ventilation--have been introduced to clinical practice. Conceptually, they share important features. Yet, because there remains widespread uncertainty regarding their ventilatory characteristics, efficacy, and appropriate use, the potential range of application is only now being investigated. To construct a unifying mathematical model of PPV, we developed a system of equations for prediction of the major "outcome" variables of PPV--tidal volume, minute ventilation, auto-positive end-expiratory pressure, mean alveolar pressure, and mechanical work--from the primary clinical "inputs" from patient (resistance, compliance) and clinician (applied pressure, frequency, inspiratory time fraction). Our analysis revealed distinct bounding limits for the outcome variables of ventilation and pressure and important implications for their clinical determinants. Although simplifying assumptions were required to enable construction of this mathematical analogue of respiratory system behavior, this model provides a firm conceptual framework for understanding the physiological interactions between PPV and the patients they are intended to help.

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Year:  1989        PMID: 2676950     DOI: 10.1152/jappl.1989.67.3.1081

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  17 in total

Review 1.  New concepts in mechanical ventilation for ARDS.

Authors:  M R Lessard
Journal:  Can J Anaesth       Date:  1996-05       Impact factor: 5.063

2.  Calculating mechanical power for pressure-controlled ventilation.

Authors:  Siri van der Meijden; Mitchel Molenaar; Peter Somhorst; Abraham Schoe
Journal:  Intensive Care Med       Date:  2019-07-29       Impact factor: 17.440

Review 3.  Bedside waveforms interpretation as a tool to identify patient-ventilator asynchronies.

Authors:  Dimitris Georgopoulos; George Prinianakis; Eumorfia Kondili
Journal:  Intensive Care Med       Date:  2005-11-09       Impact factor: 17.440

4.  New aspects of pulmonary mechanics: "slowly" distensible compartments of the respiratory system, identified by a PEEP step maneuver.

Authors:  R Fretschner; T P Laubscher; J X Brunner
Journal:  Intensive Care Med       Date:  1996-12       Impact factor: 17.440

5.  Changes in occlusion pressure (P0.1) and breathing pattern during pressure support ventilation.

Authors:  P F Perrigault; Y H Pouzeratte; S Jaber; X J Capdevila; M Hayot; G Boccara; M Ramonatxo; P Colson
Journal:  Thorax       Date:  1999-02       Impact factor: 9.139

6.  The automatic selection of ventilation parameters during the initial phase of mechanical ventilation.

Authors:  T P Laubscher; A Frutiger; S Fanconi; J X Brunner
Journal:  Intensive Care Med       Date:  1996-03       Impact factor: 17.440

7.  Reduction of patient-ventilator asynchrony by reducing tidal volume during pressure-support ventilation.

Authors:  Arnaud W Thille; Belen Cabello; Fabrice Galia; Aissam Lyazidi; Laurent Brochard
Journal:  Intensive Care Med       Date:  2008-04-24       Impact factor: 17.440

8.  Respiratory mechanics by least squares fitting in mechanically ventilated patients: applications during paralysis and during pressure support ventilation.

Authors:  G A Iotti; A Braschi; J X Brunner; T Smits; M Olivei; A Palo; R Veronesi
Journal:  Intensive Care Med       Date:  1995-05       Impact factor: 17.440

9.  A mathematical model for carbon dioxide elimination: an insight for tuning mechanical ventilation.

Authors:  Anake Pomprapa; David Schwaiberger; Burkhard Lachmann; Steffen Leonhardt
Journal:  Eur J Appl Physiol       Date:  2013-10-27       Impact factor: 3.078

10.  Mathematical modeling of ventilator-induced lung inflammation.

Authors:  Sarah Minucci; Rebecca L Heise; Michael S Valentine; Franck J Kamga Gninzeko; Angela M Reynolds
Journal:  J Theor Biol       Date:  2021-04-27       Impact factor: 2.405

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