The Experts below are selected from a list of 54 Experts worldwide ranked by ideXlab platform
Bruno Louis - One of the best experts on this subject based on the ideXlab platform.
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Low-pressure support vs automatic tube compensation during spontaneous breathing trial for weaning.
Annals of Intensive Care, 2019Co-Authors: Claude Guérin, Nicolas Terzi, Mehdi Mezidi, Loredana Baboi, Nader Chebib, Hodane Yonis, Laurent Argaud, Leo M. A. Heunks, Bruno LouisAbstract:During spontaneous breathing trial, low-pressure support is thought to compensate for endotracheal tube resistance, but it actually should provide overassistance. Automatic tube compensation is an option available in the ventilator to compensate for flow-resistance of endotracheal tube. Its effects on patient effort have been poorly investigated. We aimed to compare the effects of low-pressure support and automatic tube compensation during spontaneous breathing trial on breathing power and Lung Ventilation Distribution. We performed a randomized crossover study in 20 patients ready to wean. Each patient received both methods for 30 min separated by baseline Ventilation: pressure support 0 cmH2O and automatic tube compensation 100% in one period and pressure support 7 cmH2O without automatic tube compensation in the other period, a 4 cmH2O positive end-expiratory pressure being applied in each. Same ventilator brand (Evita XL, Draeger, Germany) was used. Breathing power was assessed from Campbell diagram with esophageal pressure, airway pressure, flow and volume recorded by a data logger. Lung Ventilation Distribution was assessed by using electrical impedance tomography (Pulmovista, Draeger, Germany). During the last 2 min of low-pressure support and automatic compensation period breathing power and Lung Ventilation Distribution were measured on each breath. Breathing power generated by the patient’s respiratory muscles was 7.2 (4.4–9.6) and 9.7 (5.7–21.9) J/min in low-pressure support and automatic tube compensation periods, respectively (P = 0.011). Lung Ventilation Distribution was not different between the two methods. We found that ATC was associated with higher breathing power than low PS during SBT without altering the Distribution of Lung Ventilation.
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Low-pressure support vs automatic tube compensation during spontaneous breathing trial for weaning
Annals of Intensive Care, 2019Co-Authors: Claude Guérin, Nicolas Terzi, Mehdi Mezidi, Loredana Baboi, Nader Chebib, Hodane Yonis, Laurent Argaud, Leo M. A. Heunks, Bruno LouisAbstract:Background During spontaneous breathing trial, low-pressure support is thought to compensate for endotracheal tube resistance, but it actually should provide overassistance. Automatic tube compensation is an option available in the ventilator to compensate for flow-resistance of endotracheal tube. Its effects on patient effort have been poorly investigated. We aimed to compare the effects of low-pressure support and automatic tube compensation during spontaneous breathing trial on breathing power and Lung Ventilation Distribution. Results We performed a randomized crossover study in 20 patients ready to wean. Each patient received both methods for 30 min separated by baseline Ventilation: pressure support 0 cmH_2O and automatic tube compensation 100% in one period and pressure support 7 cmH_2O without automatic tube compensation in the other period, a 4 cmH_2O positive end-expiratory pressure being applied in each. Same ventilator brand (Evita XL, Draeger, Germany) was used. Breathing power was assessed from Campbell diagram with esophageal pressure, airway pressure, flow and volume recorded by a data logger. Lung Ventilation Distribution was assessed by using electrical impedance tomography (Pulmovista, Draeger, Germany). During the last 2 min of low-pressure support and automatic compensation period breathing power and Lung Ventilation Distribution were measured on each breath. Breathing power generated by the patient’s respiratory muscles was 7.2 (4.4–9.6) and 9.7 (5.7–21.9) J/min in low-pressure support and automatic tube compensation periods, respectively ( P = 0.011). Lung Ventilation Distribution was not different between the two methods. Conclusions We found that ATC was associated with higher breathing power than low PS during SBT without altering the Distribution of Lung Ventilation.
Nicolas Pozin - One of the best experts on this subject based on the ideXlab platform.
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predicted airway obstruction Distribution based on dynamical Lung Ventilation data a coupled modeling machine learning methodology
International Journal for Numerical Methods in Biomedical Engineering, 2018Co-Authors: Nicolas Pozin, Spyridon Montesantos, Ira Katz, Marine Pichelin, Irene E Vignonclementel, Celine GrandmontAbstract:In asthma and COPD, some airways of the tracheo-bronchial tree can be constricted, from moderate narrowing up to closure. Those pathological patterns affect the Lung Ventilation Distribution. While some imaging techniques enable visualization and quantification of constrictions in proximal generations, no non-invasive technique provides precise insights on what happens in more distal areas. In this work, we propose a process that exploits Lung Ventilation measures to access positions of airways closures in the tree. This identification approach combines the Lung Ventilation model in which a tree is strongly coupled to a parenchyma description along with a machine learning approach. Based on synthetic data generated with typical temporal and spatial resolutions as well as reconstruction errors, we obtain very encouraging results with a detection rate higher than 90%.
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from dynamical Lung Ventilation data to plugs Distribution in asthma a numerical diagnosis tool
2017Co-Authors: Nicolas Pozin, Spyridon Montesantos, Ira Katz, Marine Pichelin, Irene E Vignonclementel, Celine GrandmontAbstract:In asthma and COPD, some airways of the tracheo-bronchial tree can be constricted, from moderate narrowing up to closure. Those pathological patterns affect the Lung Ventilation Distribution. While some imaging techniques enable visualization and quantification of constrictions in proximal generations, no non-invasive technique provides precise insights on what happens in more distal areas. In this work, we propose a process that exploits Lung Ventilation measures to access positions of airways closures in the tree. This identification approach combines the Lung Ventilation model in which a tree is strongly coupled to a parenchyma description along with a machine learning approach. Based on synthetic data generated with typical temporal and spatial resolutions as well as reconstruction errors, we obtain very encouraging results with a detection rate higher than 90%.
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From dynamical Lung Ventilation data to plugs Distribution in asthma – A numerical diagnosis tool
2017Co-Authors: Nicolas Pozin, Spyridon Montesantos, Ira Katz, Marine Pichelin, Irene E. Vignon-clementel, Celine GrandmontAbstract:In asthma and COPD, some airways of the tracheo-bronchial tree can be constricted, from moderate narrowing up to closure. Those pathological patterns affect the Lung Ventilation Distribution. While some imaging techniques enable visualization and quantification of constrictions in proximal generations, no non-invasive technique provides precise insights on what happens in more distal areas. In this work, we propose a process that exploits Lung Ventilation measures to access positions of airways closures in the tree. This identification approach combines the Lung Ventilation model in which a tree is strongly coupled to a parenchyma description along with a machine learning approach. Based on synthetic data generated with typical temporal and spatial resolutions as well as reconstruction errors, we obtain very encouraging results with a detection rate higher than 90%.
Claude Guérin - One of the best experts on this subject based on the ideXlab platform.
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Low-pressure support vs automatic tube compensation during spontaneous breathing trial for weaning.
Annals of Intensive Care, 2019Co-Authors: Claude Guérin, Nicolas Terzi, Mehdi Mezidi, Loredana Baboi, Nader Chebib, Hodane Yonis, Laurent Argaud, Leo M. A. Heunks, Bruno LouisAbstract:During spontaneous breathing trial, low-pressure support is thought to compensate for endotracheal tube resistance, but it actually should provide overassistance. Automatic tube compensation is an option available in the ventilator to compensate for flow-resistance of endotracheal tube. Its effects on patient effort have been poorly investigated. We aimed to compare the effects of low-pressure support and automatic tube compensation during spontaneous breathing trial on breathing power and Lung Ventilation Distribution. We performed a randomized crossover study in 20 patients ready to wean. Each patient received both methods for 30 min separated by baseline Ventilation: pressure support 0 cmH2O and automatic tube compensation 100% in one period and pressure support 7 cmH2O without automatic tube compensation in the other period, a 4 cmH2O positive end-expiratory pressure being applied in each. Same ventilator brand (Evita XL, Draeger, Germany) was used. Breathing power was assessed from Campbell diagram with esophageal pressure, airway pressure, flow and volume recorded by a data logger. Lung Ventilation Distribution was assessed by using electrical impedance tomography (Pulmovista, Draeger, Germany). During the last 2 min of low-pressure support and automatic compensation period breathing power and Lung Ventilation Distribution were measured on each breath. Breathing power generated by the patient’s respiratory muscles was 7.2 (4.4–9.6) and 9.7 (5.7–21.9) J/min in low-pressure support and automatic tube compensation periods, respectively (P = 0.011). Lung Ventilation Distribution was not different between the two methods. We found that ATC was associated with higher breathing power than low PS during SBT without altering the Distribution of Lung Ventilation.
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Low-pressure support vs automatic tube compensation during spontaneous breathing trial for weaning
Annals of Intensive Care, 2019Co-Authors: Claude Guérin, Nicolas Terzi, Mehdi Mezidi, Loredana Baboi, Nader Chebib, Hodane Yonis, Laurent Argaud, Leo M. A. Heunks, Bruno LouisAbstract:Background During spontaneous breathing trial, low-pressure support is thought to compensate for endotracheal tube resistance, but it actually should provide overassistance. Automatic tube compensation is an option available in the ventilator to compensate for flow-resistance of endotracheal tube. Its effects on patient effort have been poorly investigated. We aimed to compare the effects of low-pressure support and automatic tube compensation during spontaneous breathing trial on breathing power and Lung Ventilation Distribution. Results We performed a randomized crossover study in 20 patients ready to wean. Each patient received both methods for 30 min separated by baseline Ventilation: pressure support 0 cmH_2O and automatic tube compensation 100% in one period and pressure support 7 cmH_2O without automatic tube compensation in the other period, a 4 cmH_2O positive end-expiratory pressure being applied in each. Same ventilator brand (Evita XL, Draeger, Germany) was used. Breathing power was assessed from Campbell diagram with esophageal pressure, airway pressure, flow and volume recorded by a data logger. Lung Ventilation Distribution was assessed by using electrical impedance tomography (Pulmovista, Draeger, Germany). During the last 2 min of low-pressure support and automatic compensation period breathing power and Lung Ventilation Distribution were measured on each breath. Breathing power generated by the patient’s respiratory muscles was 7.2 (4.4–9.6) and 9.7 (5.7–21.9) J/min in low-pressure support and automatic tube compensation periods, respectively ( P = 0.011). Lung Ventilation Distribution was not different between the two methods. Conclusions We found that ATC was associated with higher breathing power than low PS during SBT without altering the Distribution of Lung Ventilation.
Celine Grandmont - One of the best experts on this subject based on the ideXlab platform.
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predicted airway obstruction Distribution based on dynamical Lung Ventilation data a coupled modeling machine learning methodology
International Journal for Numerical Methods in Biomedical Engineering, 2018Co-Authors: Nicolas Pozin, Spyridon Montesantos, Ira Katz, Marine Pichelin, Irene E Vignonclementel, Celine GrandmontAbstract:In asthma and COPD, some airways of the tracheo-bronchial tree can be constricted, from moderate narrowing up to closure. Those pathological patterns affect the Lung Ventilation Distribution. While some imaging techniques enable visualization and quantification of constrictions in proximal generations, no non-invasive technique provides precise insights on what happens in more distal areas. In this work, we propose a process that exploits Lung Ventilation measures to access positions of airways closures in the tree. This identification approach combines the Lung Ventilation model in which a tree is strongly coupled to a parenchyma description along with a machine learning approach. Based on synthetic data generated with typical temporal and spatial resolutions as well as reconstruction errors, we obtain very encouraging results with a detection rate higher than 90%.
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from dynamical Lung Ventilation data to plugs Distribution in asthma a numerical diagnosis tool
2017Co-Authors: Nicolas Pozin, Spyridon Montesantos, Ira Katz, Marine Pichelin, Irene E Vignonclementel, Celine GrandmontAbstract:In asthma and COPD, some airways of the tracheo-bronchial tree can be constricted, from moderate narrowing up to closure. Those pathological patterns affect the Lung Ventilation Distribution. While some imaging techniques enable visualization and quantification of constrictions in proximal generations, no non-invasive technique provides precise insights on what happens in more distal areas. In this work, we propose a process that exploits Lung Ventilation measures to access positions of airways closures in the tree. This identification approach combines the Lung Ventilation model in which a tree is strongly coupled to a parenchyma description along with a machine learning approach. Based on synthetic data generated with typical temporal and spatial resolutions as well as reconstruction errors, we obtain very encouraging results with a detection rate higher than 90%.
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From dynamical Lung Ventilation data to plugs Distribution in asthma – A numerical diagnosis tool
2017Co-Authors: Nicolas Pozin, Spyridon Montesantos, Ira Katz, Marine Pichelin, Irene E. Vignon-clementel, Celine GrandmontAbstract:In asthma and COPD, some airways of the tracheo-bronchial tree can be constricted, from moderate narrowing up to closure. Those pathological patterns affect the Lung Ventilation Distribution. While some imaging techniques enable visualization and quantification of constrictions in proximal generations, no non-invasive technique provides precise insights on what happens in more distal areas. In this work, we propose a process that exploits Lung Ventilation measures to access positions of airways closures in the tree. This identification approach combines the Lung Ventilation model in which a tree is strongly coupled to a parenchyma description along with a machine learning approach. Based on synthetic data generated with typical temporal and spatial resolutions as well as reconstruction errors, we obtain very encouraging results with a detection rate higher than 90%.
Leo M. A. Heunks - One of the best experts on this subject based on the ideXlab platform.
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Low-pressure support vs automatic tube compensation during spontaneous breathing trial for weaning.
Annals of Intensive Care, 2019Co-Authors: Claude Guérin, Nicolas Terzi, Mehdi Mezidi, Loredana Baboi, Nader Chebib, Hodane Yonis, Laurent Argaud, Leo M. A. Heunks, Bruno LouisAbstract:During spontaneous breathing trial, low-pressure support is thought to compensate for endotracheal tube resistance, but it actually should provide overassistance. Automatic tube compensation is an option available in the ventilator to compensate for flow-resistance of endotracheal tube. Its effects on patient effort have been poorly investigated. We aimed to compare the effects of low-pressure support and automatic tube compensation during spontaneous breathing trial on breathing power and Lung Ventilation Distribution. We performed a randomized crossover study in 20 patients ready to wean. Each patient received both methods for 30 min separated by baseline Ventilation: pressure support 0 cmH2O and automatic tube compensation 100% in one period and pressure support 7 cmH2O without automatic tube compensation in the other period, a 4 cmH2O positive end-expiratory pressure being applied in each. Same ventilator brand (Evita XL, Draeger, Germany) was used. Breathing power was assessed from Campbell diagram with esophageal pressure, airway pressure, flow and volume recorded by a data logger. Lung Ventilation Distribution was assessed by using electrical impedance tomography (Pulmovista, Draeger, Germany). During the last 2 min of low-pressure support and automatic compensation period breathing power and Lung Ventilation Distribution were measured on each breath. Breathing power generated by the patient’s respiratory muscles was 7.2 (4.4–9.6) and 9.7 (5.7–21.9) J/min in low-pressure support and automatic tube compensation periods, respectively (P = 0.011). Lung Ventilation Distribution was not different between the two methods. We found that ATC was associated with higher breathing power than low PS during SBT without altering the Distribution of Lung Ventilation.
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Low-pressure support vs automatic tube compensation during spontaneous breathing trial for weaning
Annals of Intensive Care, 2019Co-Authors: Claude Guérin, Nicolas Terzi, Mehdi Mezidi, Loredana Baboi, Nader Chebib, Hodane Yonis, Laurent Argaud, Leo M. A. Heunks, Bruno LouisAbstract:Background During spontaneous breathing trial, low-pressure support is thought to compensate for endotracheal tube resistance, but it actually should provide overassistance. Automatic tube compensation is an option available in the ventilator to compensate for flow-resistance of endotracheal tube. Its effects on patient effort have been poorly investigated. We aimed to compare the effects of low-pressure support and automatic tube compensation during spontaneous breathing trial on breathing power and Lung Ventilation Distribution. Results We performed a randomized crossover study in 20 patients ready to wean. Each patient received both methods for 30 min separated by baseline Ventilation: pressure support 0 cmH_2O and automatic tube compensation 100% in one period and pressure support 7 cmH_2O without automatic tube compensation in the other period, a 4 cmH_2O positive end-expiratory pressure being applied in each. Same ventilator brand (Evita XL, Draeger, Germany) was used. Breathing power was assessed from Campbell diagram with esophageal pressure, airway pressure, flow and volume recorded by a data logger. Lung Ventilation Distribution was assessed by using electrical impedance tomography (Pulmovista, Draeger, Germany). During the last 2 min of low-pressure support and automatic compensation period breathing power and Lung Ventilation Distribution were measured on each breath. Breathing power generated by the patient’s respiratory muscles was 7.2 (4.4–9.6) and 9.7 (5.7–21.9) J/min in low-pressure support and automatic tube compensation periods, respectively ( P = 0.011). Lung Ventilation Distribution was not different between the two methods. Conclusions We found that ATC was associated with higher breathing power than low PS during SBT without altering the Distribution of Lung Ventilation.
