Measurement of Electrical Impedance Tomography-Based Regional Ventilation Delay for Individualized Titration of End-Expiratory Pressure

Journal of Clinical Medicine, vol. 10, pp. 2933

Abstract

Rationale: Individualized positive end-expiratory pressure (PEEP) titration might be beneficial in preventing tidal recruitment. To detect tidal recruitment by electrical impedance tomography (EIT), the time disparity between the regional ventilation curves (regional ventilation delay inhomogeneity [RVDI]) can be measured during controlled mechanical ventilation when applying a slow inflation of 12 mL/kg of body weight (BW). However, repeated large slow inflations may result in high end-inspiratory pressure (PEI), which might limit the clinical applicability of this method. We hypothesized that PEEP levels that minimize tidal recruitment can also be derived from EIT-based RVDI through the use of reduced slow inflation volumes. Methods: Decremental PEEP trials were performed in 15 lung-injured pigs. The PEEP level that minimized tidal recruitment was estimated from EIT-based RVDI measurement during slow inflations of 12, 9, 7.5, or 6 mL/kg BW. We compared RVDI and PEI values resulting from different slow inflation volumes and estimated individualized PEEP levels. Results: RVDI values from slow inflations of 12 and 9 mL/kg BW showed excellent linear correlation (R2 = 0.87, p < 0.001). Correlations decreased for RVDI values from inflations of 7.5 (R2 = 0.68, p < 0.001) and 6 (R2 = 0.42, p < 0.001) mL/kg BW. Individualized PEEP levels estimated from 12 and 9 mL/kg BW were comparable (bias −0.3 cm H2O ± 1.2 cm H2O). Bias and scatter increased with further reduction in slow inflation volumes (for 7.5 mL/kg BW, bias 0 ± 3.2 cm H2O; for 6 mL/kg BW, bias 1.2 ± 4.0 cm H2O). PEI resulting from 9 mL/kg BW inflations were comparable with PEI during regular tidal volumes. Conclusions: PEEP titration to minimize tidal recruitment can be individualized according to EIT-based measurement of the time disparity of regional ventilation courses during slow inflations with low inflation volumes. This sufficiently decreases PEI and may reduce potential clinical risks.

Authors 8

1. Thomas Muders corresponding

   University of Bonn · University Hospital Bonn

   Affiliation as printed

   Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, 53127 Bonn, Germany

2. Benjamin Hentze

   University of Bonn · University Hospital Bonn

   Affiliation as printed

   Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, 53127 Bonn, Germany

3. Stefan Kreyer

   University of Bonn · University Hospital Bonn

   Affiliation as printed

   Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, 53127 Bonn, Germany

4. Karin Wodack

   University of Bonn · University Hospital Bonn

   Affiliation as printed

   Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, 53127 Bonn, Germany

5. Steffen K. Leonhardt Aachen Chair for Medical Information Technology

   RWTH Aachen University

   Affiliation as printed

   Chair for Medical Information Technology, RWTH Aachen University, 52074 Aachen, Germany

6. Göran Hedenstierna

   Uppsala University

   Affiliation as printed

   Department of Medical Sciences, Clinical Physiology, Uppsala University, 75185 Uppsala, Sweden

7. Hermann Wrigge

   BG Klinikum Bergmannstrost Halle

   Affiliation as printed

   Department of Anesthesiology, Intensive Care and Emergency Medicine, Pain Therapy, Bergmannstrost Hospital Halle, 06112 Halle, Germany

8. Christian Putensen

   University of Bonn · University Hospital Bonn

   Affiliation as printed

   Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, 53127 Bonn, Germany