Experimental analysis of the airway circuit effects on breathing pattern generated by neonatal pulmonary ventilators

The effect of airway-to-patient circuit on the breathing pattern actually delivered to the patient by a neonatal pulmonary ventilator is in vitro experimentally examined. To this aim, an automatic measuring system capable to record: (a) the ventilation parameter analog output signals provided by the ventilator and (b) the pressure value directly measured at patient delivery site was implemented. The experimental analysis is conducted by examining various circuit configurations (tubes that differ in dimensions and rigidity, with and without humidifier, etc.) and pressure waveform changes are reported and compared. Noticeable differences between the respiratory pattern set by physicians and that actually delivered at the patient site are observed and the measured data provide indication for correct air circuit design. Finally, the hereby presented results contributed to increase the attention of the medical therapist, who is the only one able to estimate the actual patient ventilatory needs and their ranges of variation, to a more accurate ventilator setting in order to assure the correct breathing pattern for neonate health.

[1]  R. Rivers,et al.  Cerebral blood flow velocity variability in infants receiving assisted ventilation. , 1988, Archives of disease in childhood.

[2]  C. Morley,et al.  Interaction of spontaneous respiration with artificial ventilation in preterm babies. , 1983, The Journal of pediatrics.

[3]  P. Schreiber Anaesthesia Equipment , 1972, Anaesthesiology and Resuscitation / Anaesthesiologie und Wiederbelebung / Anaesthésiologie et Réanimation.

[4]  D. Dreyfuss,et al.  Ventilator-induced lung injury: lessons from experimental studies. , 1998, American journal of respiratory and critical care medicine.

[5]  D A Silvern,et al.  Ventilator Risk Management Using a Programmed Monitor , 1989, Journal of clinical engineering.

[6]  Paolo Cappa,et al.  Reliability Analysis of Non‐Parametric Statistical Tests for the Evaluation of Linear Drift in Experimental Data , 2001 .

[7]  M Sullivan,et al.  Endotracheal tube as a factor in measurement of respiratory mechanics. , 1976, Journal of applied physiology.

[8]  R. Summers,et al.  Ventilator management: the role of knowledge-based technology , 1993, IEEE Engineering in Medicine and Biology Magazine.

[9]  Paolo Cappa,et al.  An innovative experimental system to test response time and reliability of neonatal flow-triggered ventilators , 1997 .

[10]  A. Cappello,et al.  Influence of flow pattern on the parameter estimates of a simple breathing mechanics model , 1995, IEEE Transactions on Biomedical Engineering.

[11]  J Ghaly,et al.  Automated ventilator testing. , 1994, Australasian physical & engineering sciences in medicine.

[12]  Sergio Silvestri,et al.  A novel methodology for the experimental evaluation of pulmonary ventilator performance drift , 1997 .

[13]  Silvern Da,et al.  Ventilator risk management using a programmed monitor. , 1989 .

[14]  D Urli,et al.  [An unusual failure of the 900 C Siemens Servo ventilator]. , 1989, Annales francaises d'anesthesie et de reanimation.