A geometric model analysis of conductive airways in expiratory flow limitation during artificial ventilation

被引:0
|
作者
Cevenini, G [1 ]
Bernardi, F [1 ]
Massai, MR [1 ]
Barbini, P [1 ]
机构
[1] Univ Siena, Dept Surg & Bioengn, I-53100 Siena, Italy
来源
关键词
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Expiratory flow limitation (EFL) was simulated in mechanical ventilation through a recently proposed tracheobronchial tree model which reproduces breathing mechanics in the time-domain using Weibel's symmetrical description of lung anatomy considered as 17 upper generations conducting air and seven deeper generations where gas exchange takes place. The model allows for flow turbulence, inertance and tissue viscoelasticity to be represented nonlinearly and distributed along the tracheobronchial tree in a lumped parameter description. An electric analogue of the simulator, consisting of a RLC ladder network, was numerically implemented by Matlab-Simulink software. Normal conditions and chronic obstructive pulmonary disease (COPD) were simulated by setting model parameters. An extra negative expiratory pressure (NEP) was introduced to detect EFL. The transmural pressures of conductive airways, their viscoelastic characteristics and their related distributions of transversal geometrical changes over the breathing cycle were evaluated. The results showed that during mechanical ventilation, large modifications in the elastic characteristics of the conductive airways explain EFL in simulated COPD. In particular, a marked expiratory reduction in medium bronchi diameter, up to 20-30% of their maximum value, and a progressive decrease in small bronchi diameter during expiration were observed. A remarkably lower reduction in medium bronchi diameter and almost constant behaviour of small bronchi diameter during expiration were found in the simulated healthy subject. Application of NEP confirmed the absence of EFL for normal cases whereas COPD was flow limited over most of expiration.
引用
下载
收藏
页码:135 / 144
页数:10
相关论文
共 50 条
  • [41] Time course of expiratory flow limitation in COPD patients during acute respiratory failure requiring mechanical ventilation
    Alvisi, V
    Romanello, A
    Badet, M
    Gaillard, S
    Philit, F
    Guérin, C
    CHEST, 2003, 123 (05) : 1625 - 1632
  • [42] Determinants of Expiratory Flow Limitation in Healthy Women during Exercise
    Dominelli, Paolo B.
    Guenette, Jordan A.
    Wilkie, Sabrina S.
    Foster, Glen E.
    Sheel, A. William
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2011, 43 (09): : 1666 - 1674
  • [43] DYSANAPSIS AND EXPIRATORY FLOW LIMITATION DURING EXERCISE IN CHILDREN & ADOLESCENTS
    Pianosi, P. T.
    PEDIATRIC PULMONOLOGY, 2015, 50 : S56 - S56
  • [44] Detection of expiratory flow limitation during exercise in COPD patients
    Koulouris, NG
    Dimopoulou, I
    Valta, P
    Finkelstein, R
    Cosio, MG
    MilicEmili, J
    JOURNAL OF APPLIED PHYSIOLOGY, 1997, 82 (03) : 723 - 731
  • [45] A switching lung mechanics model for detection of expiratory flow limitation
    Hennigs, Carlotta
    Bilda, Franziska
    Grasshoff, Jan
    Walterspacher, Stephan
    Rostalski, Philipp
    AT-AUTOMATISIERUNGSTECHNIK, 2024, 72 (05) : 417 - 428
  • [46] Artificial neural network identification of exercise expiratory flow-limitation in adults
    Hans Christian Haverkamp
    Peter Luu
    Thomas W. DeCato
    Gregory Petrics
    Scientific Reports, 13 (1)
  • [47] Artificial neural network identification of exercise expiratory flow-limitation in adults
    Haverkamp, Hans Christian
    Luu, Peter
    DeCato, Thomas W.
    Petrics, Gregory
    SCIENTIFIC REPORTS, 2023, 13 (01):
  • [48] Automatic Detection Of Expiratory Flow Limitation By Forced Oscillation Technique (FOT) During Non-Invasive Ventilation (NIV)
    Govoni, L.
    Savi, D.
    Pompilio, P. P.
    Pedotti, A.
    Chakrabarti, B.
    Calverley, P. M.
    Dellaca', R. L.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2011, 183
  • [49] EXPIRATORY FLOW LIMITATION AND REGULATION OF END-EXPIRATORY LUNG-VOLUME DURING EXERCISE
    PELLEGRINO, R
    BRUSASCO, V
    RODARTE, JR
    BABB, TG
    JOURNAL OF APPLIED PHYSIOLOGY, 1993, 74 (05) : 2552 - 2558
  • [50] Convolutional Neural Network Analysis to Predict Expiratory Flow Limitation During Exercise in Adults with Asthma
    Haverkamp, Hans C.
    Petrics, Greg
    FASEB JOURNAL, 2022, 36