Literature DB >> 22226421

The flow-time waveform predicts respiratory system resistance and compliance.

Boulos S Nassar1, Nicole D Collett, Gregory A Schmidt.   

Abstract

PURPOSE: Knowledge of patients' lung compliance and resistance aids clinical management. We investigated whether these values, readily measured during volume assist-control ventilation (VACV), could also be estimated during pressure assist-control ventilation (PACV).
METHODS: Data were collected in 12 mechanically ventilated human subjects. During VACV, peak pressure, plateau pressure, end-expiratory pressure, tidal volume, and inspiratory flow rate were measured. During PACV, inspiratory pressure, end-expiratory pressure, and tidal volume were recorded. The linear component of the pressure-time waveform was extrapolated to time and flow axes. Using the equation of motion for the respiratory system, assuming a nonlinear resistance, we calculated inspiratory resistance and compliance. During VACV, compliance and inspiratory resistance were calculated in the conventional manner.
RESULTS: In ventilated subjects, mean compliance during PACV was 37.06 ± 15.65 mL/cm H(2)O, and during VACV, 36.93 ± 12.18 mL/cm H(2)O. Mean inspiratory resistance during PACV was 15.17 ± 5.14 cm H(2)O/L per second, whereas during VACV, it was 12.50 ± 2.99 cm H(2)O/L per second. A strong correlation is evident between compliance and inspiratory resistance calculated during PACV vs VACV (r(2) of 0.73 and 0.51, respectively).
CONCLUSIONS: During PACV, the inspiratory flow waveform is linear, and its slope contains information regarding inspiratory resistance and compliance. Calculated values correlate with those during VACV.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22226421     DOI: 10.1016/j.jcrc.2011.10.012

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  4 in total

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4.  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
  4 in total

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