Heterogeneity of regional inflection points from pressure-volume curves assessed by electrical impedance tomography

Gaetano Scaramuzzo, Savino Spadaro, Andreas D Waldmann, Stephan H Böhm, Riccardo Ragazzi, Elisabetta Marangoni, Valentina Alvisi, Elena Spinelli, Tommaso Mauri, Carlo Alberto Volta, Gaetano Scaramuzzo, Savino Spadaro, Andreas D Waldmann, Stephan H Böhm, Riccardo Ragazzi, Elisabetta Marangoni, Valentina Alvisi, Elena Spinelli, Tommaso Mauri, Carlo Alberto Volta

Abstract

Background: The pressure-volume (P-V) curve has been suggested as a bedside tool to set mechanical ventilation; however, it reflects a global behavior of the lung without giving information on the regional mechanical properties. Regional P-V (PVr) curves derived from electrical impedance tomography (EIT) could provide valuable clinical information at bedside, being able to explore the regional mechanics of the lung. In the present study, we hypothesized that regional P-V curves would provide different information from those obtained from global P-V curves, both in terms of upper and lower inflection points. Therefore, we constructed pressure-volume curves for each pixel row from non-dependent to dependent lung regions of patients affected by acute hypoxemic respiratory failure (AHRF) and acute respiratory distress syndrome (ARDS).

Methods: We analyzed slow-inflation P-V maneuvers data from 12 mechanically ventilated patients. During the inflation, the pneumotachograph was used to record flow and airway pressure while the EIT signals were recorded digitally. From each maneuver, global respiratory system P-V curve (PVg) and PVr curves were obtained, each one corresponding to a pixel row within the EIT image. PVg and PVr curves were fitted using a sigmoidal equation, and the upper (UIP) and lower (LIP) inflection points for each curve were mathematically identified; LIP and UIP from PVg were respectively called LIPg and UIPg. From each measurement, the highest regional LIP (LIPrMAX) and the lowest regional UIP (UIPrMIN) were identified and the pressure difference between those two points was defined as linear driving pressure (ΔPLIN).

Results: A significant difference (p < 0.001) was found between LIPrMAX (15.8 [9.2-21.1] cmH2O) and LIPg (2.9 [2.2-8.9] cmH2O); in all measurements, the LIPrMAX was higher than the corresponding LIPg. We found a significant difference (p < 0.005) between UIPrMIN (30.1 [23.5-37.6] cmH2O) and UIPg (40.5 [34.2-45] cmH2O), the UIPrMIN always being lower than the corresponding UIPg. Median ΔPLIN was 12.6 [7.4-20.8] cmH2O and in 56% of cases was < 14 cmH2O.

Conclusions: Regional inflection points derived by EIT show high variability reflecting lung heterogeneity. Regional P-V curves obtained by EIT could convey more sensitive information than global lung mechanics on the pressures within which all lung regions express linear compliance.

Trial registration: Clinicaltrials.gov, NCT02907840 . Registered on 20 September 2016.

Keywords: Acute respiratory failure, acute respiratory distress syndrome; Electrical impedance tomography; Mechanical ventilation; Personalized medicine; Pressure-volume curve.

Conflict of interest statement

Ethics approval and consent to participate

This manuscript is a secondary analysis of data coming from a prospective trial. The study was approved by the ethics committee of the Sant’ Anna Hospital, Ferrara, Italy (Protocol n. 141285).

Consent for publication

Written informed consent was obtained from the patients or their relatives for publication of their individual details. The consent forms are help by the authors and are available for review by the editor-in-chief of this journal.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Example of regional pressure-volume curves. A slow inflation maneuver was recorded simultaneously using electrical impedance tomography and a pneumotachograph. Representative patient (patient # 2, PEEP10 cmH2O)
Fig. 2
Fig. 2
Analysis flow chart
Fig. 3
Fig. 3
Results: regional and global inflection points. Regional inflection points are in gravitational order (row 1 = most non-dependent; row 19 = most dependent). Values are expressed as median and interquartile range. Asterisk denotes different from UIPg (p < 0.05); number sign denotes different from LIPg (p < 0.05)
Fig. 4
Fig. 4
Results: comparison between regionally derived parameters, global inflection points, and location of LIPrMAX and UIPrMIN. a Values expressed as median [IQR] of LIPrMAX, LIPrMIN, LIPrAVE, LIPg, UIPrMAX, UIPrMIN, UIPrAVE, UIPg, and ∆PrLIN. LIPrMAX and UIPrMIN were respectively different from LIPg and UIPg (Mann-Whitney unpaired t test). b Cumulative distribution of UIPrMIN and LIPrMAX position; ROI 1, non-dependent; ROI 1 + n, dependent lung. In 55% of the measurements, the UIPrMIN was positioned within the first five ROIs (non-dependent lung); in 75% of the measurements, the LIPrMAX was positioned within the last five ROIs (dependent lung)

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