Biologically Variable or Naturally Noisy Mechanical Ventilation Recruits Atelectatic Lung
Authors:
- 1 July 2000
- journal article
- research article
- Published by Oxford University Press (OUP) in American Journal of Respiratory and Critical Care Medicine
- Vol. 162 (1) , 319-323
Abstract
Biologically variable mechanical ventilation (V˙bv)—using a computer-controller to mimic the normal variability in spontaneous breathing—improves gas exchange in a model of severe lung injury (Lefevre, G. R., S. E. Kowalski, L. G. Girling, D. B. Thiessen, W. A. C. Mutch. Am. J. Respir. Crit. Care Med. 1996;154:1567–1572). Improved oxygenation with V˙bv, in the face of alveolar collapse, is thought to be due to net volume recruitment secondary to the variability or increased noise in the peak inspiratory airway pressures (Ppaw). Biologically variable noise can be modeled as an inverse power law frequency distribution (y ∝ 1/fa) (West, B. J., M. Shlesinger. Am. Sci. 1990;78:40–45). In a porcine model of atelectasis—right lung collapse with one-lung ventilation—we studied if V˙bv (n = 7) better reinflates the collapsed lung compared with conventional monotonously regular control mode ventilation (V˙c; n = 7) over a 5-h period. We also investigated the influence of sigh breaths with V˙c (V˙s; n = 8) with this model. Reinflation of the collapsed lung was significantly enhanced with V˙bv—greater PaO2 (502 ± 40 mm Hg with V˙bv versus 381 ± 40 mm Hg with V˙c at 5 h; and 309 ± 79 mm Hg with V˙s; mean ± SD), lower PaCO2 (35 ± 4 mm Hg versus 48 ± 8 mm Hg and 50 ± 8 mm Hg), lower shunt fraction (9.7 ± 2.7% versus 14.6 ± 2.0% and 22.9 ± 6.0%), and higher respiratory system compliance (Crs) (1.15 ± 0.15 ml/cm H2O/kg versus 0.79 ± 0.19 ml/cm H2O/kg and 0.77 ± 0.13 ml/cm H2O/kg)—at lower mean Ppaw (15.7 ± 1.4 cm H2O versus 18.8 ± 2.3 cm H2O and 18.9 ± 2.8 cm H2O). V˙bv resulted in an 11% increase in measured tidal volume (Vtm) over that seen with V˙c by 5 h (14.7 ± 1.2 ml/kg versus 13.2 ml/kg). The respiratory rate variability programmed for V˙bv demonstrated an inverse power law frequency distribution (y ∝ 1/fa) with a = 1.6 ± 0.3. These findings provide strong support for the theoretical model of noisy end-inspiratory pressure better recruiting atelectatic lung. Our results suggest that using natural biologically variable noise has enhanced the performance of a mechanical ventilator in control mode.Keywords
This publication has 14 references indexed in Scilit:
- Sigh in Acute Respiratory Distress SyndromeAmerican Journal of Respiratory and Critical Care Medicine, 1999
- Mathematical Modeling of the First Inflation of Degassed LungsAnnals of Biomedical Engineering, 1998
- Improved Arterial Oxygenation After Oleic Acid Lung Injury in the Pig Using a Computer-Controlled Mechanical VentilatorAmerican Journal of Respiratory and Critical Care Medicine, 1996
- Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDsNature, 1995
- Sustained inflations improve respiratory compliance during high-frequency oscillatory ventilation but not during large tidal volume positive-pressure ventilation in rabbitsCritical Care Medicine, 1994
- Avalanches and power-law behaviour in lung inflationNature, 1994
- Model for the assessment of heart period and arterial pressure variability interactions and of respiration influencesMedical & Biological Engineering & Computing, 1994
- INFLUENCE OF AGE ON ATELECTASIS FORMATION AND GAS EXCHANGE IMPAIRMENT DURING GENERAL ANAESTHESIABritish Journal of Anaesthesia, 1991
- Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho-vagal interaction in man and conscious dog.Circulation Research, 1986
- Effects of sighs and different tidal volumes on compliance, functional residual capacity and arterial oxygen tension in normal and hypoxemic dogsCritical Care Medicine, 1980