Literature DB >> 7298442

A model for the relation between respiratory neural and mechanical outputs. III. Validation.

M Younes, W Riddle, J Polacheck.   

Abstract

In the preceding two communications we described a model for the relation between respiratory neural and mechanical outputs. In the present report we test the accuracy of the model in predicting volume and flow from occlusion pressure wave forms, and vice versa. We performed single-breath airway occlusions in 21 unconscious subjects and determined the time course of occlusion pressure. We also measured the passive properties of the respiratory system. The time course of volume and flow was predicted from the occlusion pressure wave forms, and the results were compared with the spontaneous breaths immediately preceding occlusion. Inspiratory duration, shape and amplitude of occlusion-pressure wave forms, and the passive properties of the respiratory system varied widely among subjects. There was good agreement between predicted and observed values in all cases. Except for some prolongation of inspiration (Hering-Breuer reflex), diaphragmatic activity did not change during occlusion. Since occlusion pressure is proportional to inspiratory activity, we conclude that the model described provides a good approximation of the relation between inspiratory activity and spirometric output.

Mesh:

Year:  1981        PMID: 7298442     DOI: 10.1152/jappl.1981.51.4.990

Source DB:  PubMed          Journal:  J Appl Physiol Respir Environ Exerc Physiol        ISSN: 0161-7567


  8 in total

1.  Quantifying the Arousal Threshold Using Polysomnography in Obstructive Sleep Apnea.

Authors:  Scott A Sands; Philip I Terrill; Bradley A Edwards; Luigi Taranto Montemurro; Ali Azarbarzin; Melania Marques; Camila M de Melo; Stephen H Loring; James P Butler; David P White; Andrew Wellman
Journal:  Sleep       Date:  2018-01-01       Impact factor: 5.849

2.  Immediate response to inspiratory resistive loading in anesthetized patients with kyphoscoliosis: spirometric and neural effects.

Authors:  A Baydur; M Carlson
Journal:  Lung       Date:  1996       Impact factor: 2.584

3.  Proportional assist ventilation with load-adjustable gain factors in critically ill patients: comparison with pressure support.

Authors:  Nektaria Xirouchaki; Eumorfia Kondili; Katerina Vaporidi; George Xirouchakis; Maria Klimathianaki; George Gavriilidis; Evi Alexandopoulou; Maria Plataki; Christina Alexopoulou; Dimitris Georgopoulos
Journal:  Intensive Care Med       Date:  2008-07-08       Impact factor: 17.440

4.  Respiratory mechanics by least squares fitting in mechanically ventilated patients: applications during paralysis and during pressure support ventilation.

Authors:  G A Iotti; A Braschi; J X Brunner; T Smits; M Olivei; A Palo; R Veronesi
Journal:  Intensive Care Med       Date:  1995-05       Impact factor: 17.440

5.  A joint computational respiratory neural network-biomechanical model for breathing and airway defensive behaviors.

Authors:  Russell O'Connor; Lauren S Segers; Kendall F Morris; Sarah C Nuding; Teresa Pitts; Donald C Bolser; Paul W Davenport; Bruce G Lindsey
Journal:  Front Physiol       Date:  2012-07-23       Impact factor: 4.566

6.  Limited predictability of maximal muscular pressure using the difference between peak airway pressure and positive end-expiratory pressure during proportional assist ventilation (PAV).

Authors:  Po-Lan Su; Pei-Shan Kao; Wei-Chieh Lin; Pei-Fang Su; Chang-Wen Chen
Journal:  Crit Care       Date:  2016-11-27       Impact factor: 9.097

7.  Determinants of inspiratory muscle function in healthy children.

Authors:  Theodore Dassios; Gabriel Dimitriou
Journal:  J Sport Health Sci       Date:  2016-08-03       Impact factor: 7.179

8.  Lung-thorax compliance measured during a spontaneous breathing trial is a good index of extubation failure in the surgical intensive care unit: a retrospective cohort study.

Authors:  Yugo Okabe; Takehiko Asaga; Sayuri Bekku; Hiromi Suzuki; Kanae Kanda; Takeshi Yoda; Tomohiro Hirao; Gotaro Shirakami
Journal:  J Intensive Care       Date:  2018-07-31
  8 in total

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