The Experts below are selected from a list of 402 Experts worldwide ranked by ideXlab platform

Jeanpaul Janssens - One of the best experts on this subject based on the ideXlab platform.

  • monitoring of noninvasive ventilation by built in software of home bilevel ventilators a bench study
    Chest, 2012
    Co-Authors: Olivier Contal, Laurence Vignaux, Christophe Combescure, Jeanlouis Pepin, Philippe Jolliet, Jeanpaul Janssens
    Abstract:

    Background Current bilevel positive-pressure ventilators for home noninvasive ventilation (NIV) provide physicians with software that records items important for patient monitoring, such as compliance, tidal volume (V t ), and leaks. However, to our knowledge, the validity of this information has not yet been independently assessed. Methods Testing was done for seven home ventilators on a bench model adapted to simulate NIV and generate unintentional leaks (ie, other than of the mask Exhalation Valve). Five levels of leaks were simulated using a computer-driven solenoid Valve (0-60 L/min) at different levels of inspiratory pressure (15 and 25 cm H 2 O) and at a fixed expiratory pressure (5 cm H 2 O), for a total of 10 conditions. Bench data were compared with results retrieved from ventilator software for leaks and V t . Results For assessing leaks, three of the devices tested were highly reliable, with a small bias (0.3-0.9 L/min), narrow limits of agreement (LA), and high correlations ( R 2 , 0.993-0.997) when comparing ventilator software and bench results; conversely, for four ventilators, bias ranged from −6.0 L/min to −25.9 L/min, exceeding −10 L/min for two devices, with wide LA and lower correlations ( R 2 , 0.70-0.98). Bias for leaks increased markedly with the importance of leaks in three devices. V t was underestimated by all devices, and bias (range, 66-236 mL) increased with higher insufflation pressures. Only two devices had a bias Conclusions Physicians monitoring patients who use home ventilation must be aware of differences in the estimation of leaks and V t by ventilator software. Also, leaks are reported in different ways according to the device used.

  • Original ResearchRespiratory CareMonitoring of Noninvasive Ventilation by Built-in Software of Home Bilevel Ventilators: A Bench Study
    Chest, 2012
    Co-Authors: Olivier Contal, Laurence Vignaux, Christophe Combescure, Jeanlouis Pepin, Philippe Jolliet, Jeanpaul Janssens
    Abstract:

    Background Current bilevel positive-pressure ventilators for home noninvasive ventilation (NIV) provide physicians with software that records items important for patient monitoring, such as compliance, tidal volume (V t ), and leaks. However, to our knowledge, the validity of this information has not yet been independently assessed. Methods Testing was done for seven home ventilators on a bench model adapted to simulate NIV and generate unintentional leaks (ie, other than of the mask Exhalation Valve). Five levels of leaks were simulated using a computer-driven solenoid Valve (0-60 L/min) at different levels of inspiratory pressure (15 and 25 cm H 2 O) and at a fixed expiratory pressure (5 cm H 2 O), for a total of 10 conditions. Bench data were compared with results retrieved from ventilator software for leaks and V t . Results For assessing leaks, three of the devices tested were highly reliable, with a small bias (0.3-0.9 L/min), narrow limits of agreement (LA), and high correlations ( R 2 , 0.993-0.997) when comparing ventilator software and bench results; conversely, for four ventilators, bias ranged from −6.0 L/min to −25.9 L/min, exceeding −10 L/min for two devices, with wide LA and lower correlations ( R 2 , 0.70-0.98). Bias for leaks increased markedly with the importance of leaks in three devices. V t was underestimated by all devices, and bias (range, 66-236 mL) increased with higher insufflation pressures. Only two devices had a bias Conclusions Physicians monitoring patients who use home ventilation must be aware of differences in the estimation of leaks and V t by ventilator software. Also, leaks are reported in different ways according to the device used.

Nikolaus Gravenstein - One of the best experts on this subject based on the ideXlab platform.

  • The Effect of a Bellows Leak in an Ohmeda 7810 Ventilator on Room Contamination, Inspired Oxygen, Airway Pressure, and Tidal Volume
    2015
    Co-Authors: Steven J. Barker, Samsun Lampotang, Justin C Sanchez, Baixi Chen, Nikolaus Gravenstein
    Abstract:

    We investigated the effect of a small bellows leak (bel-lows full at end-expiration) on inspired oxygen fraction (Fio2), exhaled tidal volume (Vt), airway pressure, and room contamination in an oxygen-driven anesthesia ventilator (Ohmeda 7810, Madison, WI). CO2 concen-tration at the ventilator Exhalation Valve, Fio2, Vt, and airway pressure were measured (n 3) while ventilat-ing a CO2-producing test lung at 8 breaths/min and an inspiratory/expiratory ratio of 1:2, with and without

  • the effect of a bellows leak in an ohmeda 7810 ventilator on room contamination inspired oxygen airway pressure and tidal volume
    Anesthesia & Analgesia, 2005
    Co-Authors: Samsun Lampotang, Justin C Sanchez, Baixi Chen, Nikolaus Gravenstein
    Abstract:

    We investigated the effect of a small bellows leak (bellowsfullatend-expiration)oninspiredoxygenfraction (Fio2), exhaled tidal volume (Vt), airway pressure, and room contamination in an oxygen-driven anesthesia ventilator (Ohmeda 7810, Madison, WI). CO2 concentration at the ventilator Exhalation Valve, Fio2 ,V t, and airway pressure were measured (n 3) while ventilating aC O2-producing test lung at 8 breaths/min and an inspiratory/expiratory ratio of 1:2, with and without a bellowsleak(4-mm-longtear).SetVtwas400,600,800, and 1000 mL. Fresh gas flow (FGF) was 0.3 L/min O2 and (a) 5.0 L/min air, (b) 2.0 L/min air, and (c) 0.2 L/min nitrogen. There was no clinical difference in Fio2 ,V t, PIP (peak inspiratory pressure) and PEEP (positive end-expiratory pressure), with and without a 4-mm bellows tear, at all FGFs and Vt settings. CO2 at the ventilator Exhalation Valve was always nonzero with a bellows leak, indicating that CO2-laden circuit gas was contaminating the drive gas via the bellows leak. A 4-mm bellows tear in an Ohmeda 7810 ventilator allows anesthetic gases to contaminate ambient air butdoesnotcauseclinicallysignificantchangesinFio2, exhaled Vt, PIP, or PEEP. (Anesth Analg 2005;101:151–4)

Jeanlouis Pepin - One of the best experts on this subject based on the ideXlab platform.

  • monitoring of noninvasive ventilation by built in software of home bilevel ventilators a bench study
    Chest, 2012
    Co-Authors: Olivier Contal, Laurence Vignaux, Christophe Combescure, Jeanlouis Pepin, Philippe Jolliet, Jeanpaul Janssens
    Abstract:

    Background Current bilevel positive-pressure ventilators for home noninvasive ventilation (NIV) provide physicians with software that records items important for patient monitoring, such as compliance, tidal volume (V t ), and leaks. However, to our knowledge, the validity of this information has not yet been independently assessed. Methods Testing was done for seven home ventilators on a bench model adapted to simulate NIV and generate unintentional leaks (ie, other than of the mask Exhalation Valve). Five levels of leaks were simulated using a computer-driven solenoid Valve (0-60 L/min) at different levels of inspiratory pressure (15 and 25 cm H 2 O) and at a fixed expiratory pressure (5 cm H 2 O), for a total of 10 conditions. Bench data were compared with results retrieved from ventilator software for leaks and V t . Results For assessing leaks, three of the devices tested were highly reliable, with a small bias (0.3-0.9 L/min), narrow limits of agreement (LA), and high correlations ( R 2 , 0.993-0.997) when comparing ventilator software and bench results; conversely, for four ventilators, bias ranged from −6.0 L/min to −25.9 L/min, exceeding −10 L/min for two devices, with wide LA and lower correlations ( R 2 , 0.70-0.98). Bias for leaks increased markedly with the importance of leaks in three devices. V t was underestimated by all devices, and bias (range, 66-236 mL) increased with higher insufflation pressures. Only two devices had a bias Conclusions Physicians monitoring patients who use home ventilation must be aware of differences in the estimation of leaks and V t by ventilator software. Also, leaks are reported in different ways according to the device used.

  • Original ResearchRespiratory CareMonitoring of Noninvasive Ventilation by Built-in Software of Home Bilevel Ventilators: A Bench Study
    Chest, 2012
    Co-Authors: Olivier Contal, Laurence Vignaux, Christophe Combescure, Jeanlouis Pepin, Philippe Jolliet, Jeanpaul Janssens
    Abstract:

    Background Current bilevel positive-pressure ventilators for home noninvasive ventilation (NIV) provide physicians with software that records items important for patient monitoring, such as compliance, tidal volume (V t ), and leaks. However, to our knowledge, the validity of this information has not yet been independently assessed. Methods Testing was done for seven home ventilators on a bench model adapted to simulate NIV and generate unintentional leaks (ie, other than of the mask Exhalation Valve). Five levels of leaks were simulated using a computer-driven solenoid Valve (0-60 L/min) at different levels of inspiratory pressure (15 and 25 cm H 2 O) and at a fixed expiratory pressure (5 cm H 2 O), for a total of 10 conditions. Bench data were compared with results retrieved from ventilator software for leaks and V t . Results For assessing leaks, three of the devices tested were highly reliable, with a small bias (0.3-0.9 L/min), narrow limits of agreement (LA), and high correlations ( R 2 , 0.993-0.997) when comparing ventilator software and bench results; conversely, for four ventilators, bias ranged from −6.0 L/min to −25.9 L/min, exceeding −10 L/min for two devices, with wide LA and lower correlations ( R 2 , 0.70-0.98). Bias for leaks increased markedly with the importance of leaks in three devices. V t was underestimated by all devices, and bias (range, 66-236 mL) increased with higher insufflation pressures. Only two devices had a bias Conclusions Physicians monitoring patients who use home ventilation must be aware of differences in the estimation of leaks and V t by ventilator software. Also, leaks are reported in different ways according to the device used.

Samsun Lampotang - One of the best experts on this subject based on the ideXlab platform.

  • The Effect of a Bellows Leak in an Ohmeda 7810 Ventilator on Room Contamination, Inspired Oxygen, Airway Pressure, and Tidal Volume
    2015
    Co-Authors: Steven J. Barker, Samsun Lampotang, Justin C Sanchez, Baixi Chen, Nikolaus Gravenstein
    Abstract:

    We investigated the effect of a small bellows leak (bel-lows full at end-expiration) on inspired oxygen fraction (Fio2), exhaled tidal volume (Vt), airway pressure, and room contamination in an oxygen-driven anesthesia ventilator (Ohmeda 7810, Madison, WI). CO2 concen-tration at the ventilator Exhalation Valve, Fio2, Vt, and airway pressure were measured (n 3) while ventilat-ing a CO2-producing test lung at 8 breaths/min and an inspiratory/expiratory ratio of 1:2, with and without

  • the effect of a bellows leak in an ohmeda 7810 ventilator on room contamination inspired oxygen airway pressure and tidal volume
    Anesthesia & Analgesia, 2005
    Co-Authors: Samsun Lampotang, Justin C Sanchez, Baixi Chen, Nikolaus Gravenstein
    Abstract:

    We investigated the effect of a small bellows leak (bellowsfullatend-expiration)oninspiredoxygenfraction (Fio2), exhaled tidal volume (Vt), airway pressure, and room contamination in an oxygen-driven anesthesia ventilator (Ohmeda 7810, Madison, WI). CO2 concentration at the ventilator Exhalation Valve, Fio2 ,V t, and airway pressure were measured (n 3) while ventilating aC O2-producing test lung at 8 breaths/min and an inspiratory/expiratory ratio of 1:2, with and without a bellowsleak(4-mm-longtear).SetVtwas400,600,800, and 1000 mL. Fresh gas flow (FGF) was 0.3 L/min O2 and (a) 5.0 L/min air, (b) 2.0 L/min air, and (c) 0.2 L/min nitrogen. There was no clinical difference in Fio2 ,V t, PIP (peak inspiratory pressure) and PEEP (positive end-expiratory pressure), with and without a 4-mm bellows tear, at all FGFs and Vt settings. CO2 at the ventilator Exhalation Valve was always nonzero with a bellows leak, indicating that CO2-laden circuit gas was contaminating the drive gas via the bellows leak. A 4-mm bellows tear in an Ohmeda 7810 ventilator allows anesthetic gases to contaminate ambient air butdoesnotcauseclinicallysignificantchangesinFio2, exhaled Vt, PIP, or PEEP. (Anesth Analg 2005;101:151–4)

Eumorfia Kondili - One of the best experts on this subject based on the ideXlab platform.

  • Bedside waveforms interpretation as a tool to identify patient-ventilator asynchronies
    Intensive Care Medicine, 2006
    Co-Authors: Dimitris Georgopoulos, George Prinianakis, Eumorfia Kondili
    Abstract:

    Objective During assisted modes of ventilatory support the ventilatory output is the final expression of the interaction between the ventilator and the patient’s controller of breathing. This interaction may lead to patient-ventilator asynchrony, preventing the ventilator from achieving its goals, and may cause patient harm. Flow, volume, and airway pressure signals are significantly affected by patient-ventilator interaction and may serve as a tool to guide the physician to take the appropriate action to improve the synchrony between patient and ventilator. This review discusses the basic waveforms during assisted mechanical ventilation and how their interpretation may influence the management of ventilated patients. The discussion is limited on waveform eye interpretation of the signals without using any intervention which may interrupt the process of mechanical ventilation. Discussion Flow, volume, and airway pressure may be used to (a) identify the mode of ventilator assistance, triggering delay, ineffective efforts, and autotriggering, (b) estimate qualitatively patient’s respiratory efforts, and (c) recognize delayed and premature opening of Exhalation Valve. These signals may also serve as a tool for gross estimation of respiratory system mechanics and monitor the effects of disease progression and various therapeutic interventions. Conclusions Flow, volume, and airway pressure waveforms are valuable real-time tools in identifying various aspects of patient-ventilator interaction