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

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

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.