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Predictive value of tidal volume and peak inspiratory pressure in normal frequency jet ventilation
by
Peng, Jian-Liang
, Lv, Jing
in
639/766
/ 692/308
/ Blood gas analysis
/ Bronchoscopy
/ Bronchoscopy - methods
/ High-Frequency Jet Ventilation - methods
/ Humanities and Social Sciences
/ Humans
/ Inhalation - physiology
/ Lung - physiology
/ Mechanical ventilation
/ Medical instruments
/ multidisciplinary
/ Normal frequency jet ventilation
/ Peak inspiratory pressure
/ Pipelines
/ Pneumatics
/ Pneumothorax
/ Predictive value
/ Regression analysis
/ Respiratory tract
/ Science
/ Science (multidisciplinary)
/ Statistical analysis
/ Tidal volume
/ Tidal Volume - physiology
/ Variables
/ Ventilation
/ Ventilators
2025
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Predictive value of tidal volume and peak inspiratory pressure in normal frequency jet ventilation
by
Peng, Jian-Liang
, Lv, Jing
in
639/766
/ 692/308
/ Blood gas analysis
/ Bronchoscopy
/ Bronchoscopy - methods
/ High-Frequency Jet Ventilation - methods
/ Humanities and Social Sciences
/ Humans
/ Inhalation - physiology
/ Lung - physiology
/ Mechanical ventilation
/ Medical instruments
/ multidisciplinary
/ Normal frequency jet ventilation
/ Peak inspiratory pressure
/ Pipelines
/ Pneumatics
/ Pneumothorax
/ Predictive value
/ Regression analysis
/ Respiratory tract
/ Science
/ Science (multidisciplinary)
/ Statistical analysis
/ Tidal volume
/ Tidal Volume - physiology
/ Variables
/ Ventilation
/ Ventilators
2025
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
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Predictive value of tidal volume and peak inspiratory pressure in normal frequency jet ventilation
by
Peng, Jian-Liang
, Lv, Jing
in
639/766
/ 692/308
/ Blood gas analysis
/ Bronchoscopy
/ Bronchoscopy - methods
/ High-Frequency Jet Ventilation - methods
/ Humanities and Social Sciences
/ Humans
/ Inhalation - physiology
/ Lung - physiology
/ Mechanical ventilation
/ Medical instruments
/ multidisciplinary
/ Normal frequency jet ventilation
/ Peak inspiratory pressure
/ Pipelines
/ Pneumatics
/ Pneumothorax
/ Predictive value
/ Regression analysis
/ Respiratory tract
/ Science
/ Science (multidisciplinary)
/ Statistical analysis
/ Tidal volume
/ Tidal Volume - physiology
/ Variables
/ Ventilation
/ Ventilators
2025
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Predictive value of tidal volume and peak inspiratory pressure in normal frequency jet ventilation
Journal Article
Predictive value of tidal volume and peak inspiratory pressure in normal frequency jet ventilation
2025
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Overview
Normal frequency jet ventilation (NFJV) is commonly used during rigid bronchoscopy; however, airway opening does not reliably measure or predict tidal volume (V
T
) or peak inspiratory pressure (PIP). This study aimed to investigate the comprehensive effects on V
T
and PIP concerning key variables, including driving pressure (DP
pipeline
), frequency (F
jet
), needle inner diameter (ID
needle
), and lung dynamic compliance (C
dyn
). Three jet needles (N
1
, N
2
, and N
3
) with different internal diameters (1.2–1.9 mm) were used to deliver jet ventilation via a rigid bronchoscope at DPs of 0.6–1.6 bar and frequencies of 10–60 min⁻¹. Airway pressure (Paw) was measured near the tracheal prominence of the simulated lung. Expiratory gas flow was diverted into a dedicated collection chamber fitted with a solenoid valve over a one-minute period, and the collected volume was measured as minute volume (MV). ①. Statistical analysis of the two lung models revealed consistent findings: both V
T
and PIP values in N
2
and N
3
demonstrated statistically significant differences compared to N
1
(
P
< 0.05). Additionally, significant differences in the V
T
and PIP values were observed between N
2
and N
3
(
P
< 0.05). ②. Multiple linear regression analyses indicated that DP
pipeline
, F
jet
, and ID
needle
had statistically significant effects on V
T
and PIP (
P
< 0.05). Conversely, C
dyn
significantly affected V
T
(
P
< 0.05) but did not have a significant impact on PIP (
P
> 0.05). The primary variables exerting a significant influence on V
T
and PIP were DP
pipeline
, F
jet
, and ID
needle
. Furthermore, C
dyn
significantly affected V
T
but not PIP. V
T
and PIP can be accurately predicted using regression equations.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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