BACKGROUND: Recently, a new technology has been introduced aiming to monitor and improve patient ventilator interaction (PVI monitor). With the PVI monitor, a signal representing an estimation of the patient's total inspiratory muscle pressure (Pmus(PVI)) is calculated from the equation of motion, utilizing estimated values of resistance and elastance of the respiratory system. OBJECTIVE: The aim of the study was to prospectively examine the accuracy of Pmus(PVI) to quantify inspiratory muscle pressure. METHODS AND INTERVENTIONS: Eleven critically ill patients mechanically ventilated on proportional assist ventilation with load-adjustable gain factors were studied at three levels of assist (30, 50 and 70%). Airway, esophageal, gastric and transdiaphragmatic (Pdi) pressures, volume and flow were measured breath by breath, whereas the total inspiratory muscle pressure (Pmus) was calculated using the Campbell diagram. RESULTS: For a given assist, Pmus(PVI) throughout inspiration did not differ from the corresponding values calculated using the Pdi and Pmus signals. Inspiratory and expiratory time did not differ among the various methods of calculation. Inspiratory muscle pressure decreased with increasing assist, and the magnitude of this decrease did not differ among the various methods of pressure calculation. CONCLUSIONS: A signal generated from flow, volume and airway pressure may be used to provide breath-by-breath quantitative information of inspiratory muscle pressure.
BACKGROUND: Recently, a new technology has been introduced aiming to monitor and improve patient ventilator interaction (PVI monitor). With the PVI monitor, a signal representing an estimation of the patient's total inspiratory muscle pressure (Pmus(PVI)) is calculated from the equation of motion, utilizing estimated values of resistance and elastance of the respiratory system. OBJECTIVE: The aim of the study was to prospectively examine the accuracy of Pmus(PVI) to quantify inspiratory muscle pressure. METHODS AND INTERVENTIONS: Eleven critically illpatients mechanically ventilated on proportional assist ventilation with load-adjustable gain factors were studied at three levels of assist (30, 50 and 70%). Airway, esophageal, gastric and transdiaphragmatic (Pdi) pressures, volume and flow were measured breath by breath, whereas the total inspiratory muscle pressure (Pmus) was calculated using the Campbell diagram. RESULTS: For a given assist, Pmus(PVI) throughout inspiration did not differ from the corresponding values calculated using the Pdi and Pmus signals. Inspiratory and expiratory time did not differ among the various methods of calculation. Inspiratory muscle pressure decreased with increasing assist, and the magnitude of this decrease did not differ among the various methods of pressure calculation. CONCLUSIONS: A signal generated from flow, volume and airway pressure may be used to provide breath-by-breath quantitative information of inspiratory muscle pressure.
Authors: Christer Sinderby; Jennifer Beck; Jadranka Spahija; Michel de Marchie; Jacques Lacroix; Paolo Navalesi; Arthur S Slutsky Journal: Chest Date: 2007-03 Impact factor: 9.410
Authors: Arnaud W Thille; Pablo Rodriguez; Belen Cabello; François Lellouche; Laurent Brochard Journal: Intensive Care Med Date: 2006-08-01 Impact factor: 17.440
Authors: R Phillip Dellinger; Mitchell M Levy; Jean M Carlet; Julian Bion; Margaret M Parker; Roman Jaeschke; Konrad Reinhart; Derek C Angus; Christian Brun-Buisson; Richard Beale; Thierry Calandra; Jean-Francois Dhainaut; Herwig Gerlach; Maurene Harvey; John J Marini; John Marshall; Marco Ranieri; Graham Ramsay; Jonathan Sevransky; B Taylor Thompson; Sean Townsend; Jeffrey S Vender; Janice L Zimmerman; Jean-Louis Vincent Journal: Crit Care Med Date: 2008-01 Impact factor: 7.598
Authors: G Conti; D Dell'Utri; V Vilardi; R A De Blasi; P Pelaia; M Antonelli; M Bufi; G Rosa; A Gasparetto Journal: Acta Anaesthesiol Scand Date: 1993-01 Impact factor: 2.105
Authors: Massimo Antonelli; Elie Azoulay; Marc Bonten; Jean Chastre; Giuseppe Citerio; Giorgio Conti; Daniel De Backer; Herwig Gerlach; Goran Hedenstierna; Michael Joannidis; Duncan Macrae; Jordi Mancebo; Salvatore M Maggiore; Alexandre Mebazaa; Jean-Charles Preiser; Jerôme Pugin; Jan Wernerman; Haibo Zhang Journal: Intensive Care Med Date: 2011-02-03 Impact factor: 17.440