Document Detail

Effects of respiratory impedance on the performance of bi-level pressure ventilators.
MedLine Citation:
PMID:  10780034     Owner:  NLM     Status:  MEDLINE    
BACKGROUND: Noninvasive positive pressure ventilation (NPPV) has been studied in several settings and shown to reduce patient morbidity associated with endotracheal intubation. Intolerance to NPPV has been estimated at 25-33%, a substantial proportion of attempts to ventilate noninvasively. Bi-level pressure ventilators (BPVs) have been designed for NPPV, yet their response to changes in respiratory impedance has not been extensively evaluated. To determine responses of BPVs to changing impedance conditions, we tested 4 BPVs to evaluate the potential for intolerance. We also developed a mathematical model for BPV performance that accounted for impedance conditions, leak, pressure settings, and inspiratory flow cutoff level. METHODS: Four BPV models at the same settings were challenged to ventilate a triggered test lung under a range of impedance conditions while measuring tidal volume (VT) and intrinsic positive end-expiratory pressure (auto-PEEP). The model was used to predict VT and auto-PEEP under normal, restrictive, and obstructive conditions. RESULTS: The BPV models tested delivered VT in a similar manner. VT decreased with decreased compliance and increased resistance. Auto-PEEP developed with increased resistance and compliance. The model predicted a VT delivery dependent on inspiratory flow cutoff level. For the obstructive condition, the model predicts an optimal VT delivery within a specific inspiratory flow cutoff range that becomes narrower with increasing resistance. CONCLUSIONS: VT delivery and auto-PEEP generated by BPVs are highly dependent on the prevailing impedance condition. Though there are differences between BPV models, generally, performance was similar between the models tested. This report suggests that knowledge of both respiratory system impedance and the performance of the BPV in use are required to attend to inadequate VT delivery and auto-PEEP generation. Furthermore, the model predicts a relatively narrow range for inspiratory flow cutoff that provides adequate ventilatory support without causing hyperinflation in patients with obstructive conditions.
A B Adams; P L Bliss; J Hotchkiss
Related Documents :
8492354 - Evaluation of prognostic indices based on pulmonary and hemodynamic variables in patien...
2127594 - Effects of peep on pulmonary hemodynamics in intact dogs with oleic acid pulmonary edema.
6754264 - Oxygen consumption and optimum peep in acute respiratory failure.
11704594 - Mechanisms of pulmonary gas exchange improvement during a protective ventilatory strate...
9804474 - Continuous monitoring of blood volume in double filtration plasmapheresis.
21365314 - A validation study of a new nasogastric polyfunctional catheter.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Respiratory care     Volume:  45     ISSN:  0020-1324     ISO Abbreviation:  Respir Care     Publication Date:  2000 Apr 
Date Detail:
Created Date:  2000-06-20     Completed Date:  2000-06-20     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  7510357     Medline TA:  Respir Care     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  390-400     Citation Subset:  IM    
Regions Hospital, University of Minnesota, St Paul 55101, USA. alex.b.adams@Health
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Models, Biological
Positive-Pressure Respiration / instrumentation*,  statistics & numerical data*
Respiratory Mechanics / physiology*
Ventilators, Mechanical / standards*
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Mirror reversal simply explained without recourse to psychological processes.
Next Document:  Reevaluation of continuous oxygen therapy after initial prescription in patients with chronic obstru...