Notice of RetractionModel-Based Quantification of Pressure and Time Depending Effects in ARDS Patients

Using physiological models supports the investigation on various effects of respiratory mechanics at the bedside of the patient. The application of standardized ventilation maneuver helps to visualize underlying effects (viscoelasticity, inhomogeneity and recruitment). Data sets of patients undergoing dynamic and quasi-static ventilation maneuvers were available from previous studies. Models of respiratory mechanics like 1st order model (FOM), viscoelastic model (VEM) and a pressure depending recruitment model (PRM), based on Hickling's model were used for parameter identification and for prediction. In a first step the parameters of the FOM were identified using the data of the Low-Flow (LF) maneuver. This model fails when predicting the pressure response to the Dynamic-Slice (DS) flow profile. To improve the prediction quality time depending effects are quantified by the VEM using data of a SCASS -Maneuver (Static Compliance Automated Single Step). The parameterized VEM enables successful simulations of respiratory mechanics in case of LF and DS flow profiles. Finally the PRM captures pressure depending effects using LF-data but also fails in predicting the DS pressure response. The investigations showed that dynamic lung properties can be quantified using SCASS-data and a VEM, which enables predictions of the pressure response for various flow-profiles. Time-depending effects are quantified by the VEM and pressure depending effects are captured by the PRM.

[1]  T. Yuta,et al.  Dynamic models of ARDS lung mechanics for optimal patient ventilation , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  Jason H. T. Bates,et al.  Lung Mechanics: An Inverse Modeling Approach , 2009 .

[3]  K. Lutchen,et al.  Physiological interpretations based on lumped element models fit to respiratory impedance data: use of forward-inverse modeling , 1990, IEEE Transactions on Biomedical Engineering.

[4]  G. Nieman,et al.  Altered alveolar mechanics in the acutely injured lung , 2001, Critical care medicine.

[5]  E SALAZAR,et al.  AN ANALYSIS OF PRESSURE-VOLUME CHARACTERISTICS OF THE LUNGS. , 1964, Journal of applied physiology.

[6]  K. Hickling,et al.  The pressure-volume curve is greatly modified by recruitment. A mathematical model of ARDS lungs. , 1998, American journal of respiratory and critical care medicine.

[7]  Guillermo Bugedo,et al.  Lung recruitment in patients with the acute respiratory distress syndrome. , 2006, The New England journal of medicine.

[8]  W. Marsden I and J , 2012 .

[9]  Zhanqi Zhao,et al.  PEEP titration guided by ventilation homogeneity: a feasibility study using electrical impedance tomography , 2010, Critical care.

[10]  J. Bates,et al.  Two-compartment modelling of respiratory system mechanics at low frequencies: gas redistribution or tissue rheology? , 1991, The European respiratory journal.

[11]  Knut Möller,et al.  Lung sound analysis to monitor lung recruitment , 2009 .

[12]  Knut Möller,et al.  Dynamic versus static respiratory mechanics in acute lung injury and acute respiratory distress syndrome , 2006, Critical care medicine.