Quantification of breathing pattern variability on simulated and clinical data

S. Thibault, M. Wysocki, T. Similowski, P. Baconnier (Grenoble, France)

Source: Annual Congress 2002 - Monitoring respiratory parameters in critically ill patients
Session: Monitoring respiratory parameters in critically ill patients
Session type: Thematic Poster Session
Number: 622
Disease area: Respiratory critical care

Congress or journal article abstract

Abstract

Breath to breath variability observed in spontaneous breathing becomes a matter of problem under assisted ventilation, particularly with Proportional Assist Ventilation (PAV) where airway pressure is generated in proportion to patient's effort. We established a simple non-linear mathematical model of interactions between three objects as described by L. Heyer et al.(General model for patient-ventilator interactions. In: S.-C. Poon and H. Kazemi ed., Frontiers in Modeling and Control of Breathing. Plenum/Kluwer Press 2001): a controlled ventilator, the mechanical breathing system and the central respiratory pattern generator. This model exhibits breath to breath variability. This simulated variability was compared to the clinical data variability obtained from 16 monitored patients under assisted ventilation, using techniques of non-linear dynamics and chaos theory (Lyapunov exponent, LE). Identical parameters were used for the calculation of LE for both set of data. For clinical data, LE ranges from 0.03 to 0.68, while for simulations LE varies between 0.03 and 0.08. The positive LE indicates a chaotic behaviour in both situations. The non-linear model we used partly explains the variability observed in assisted ventilation and suggests that the model may be used for further investigations on the origins of breathing variability.


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S. Thibault, M. Wysocki, T. Similowski, P. Baconnier (Grenoble, France). Quantification of breathing pattern variability on simulated and clinical data. Eur Respir J 2002; 20: Suppl. 38, 622

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