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Intensive Care Medicine Experimental
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Volume 3 Supplement 1

ESICM LIVES 2015

Validation of the least squares fitting method (lsf) during nava and psv ventilation

Intensive Care Medicine Experimental volume 3, Article number: A1005 (2015) Cite this article

Introduction

The Least Squares Fitting (LSF) is a computerized method of analysis of respiratory system mechanics. It is based on applying a regression analysis for every sample points of the loop of pressure, flow and volume by fitting the equation P aw = R rs × V' + V T /C rs + PEEP tot during inspiration [1]. This technique has been already validated in Controlled Mechanical Ventilation (CMV) and at high level of Pressure Support Ventilation (PSV) [2]. However this method gives unreliable values of resistance (Rrs) and elastance (Ers) in presence of inspiratory muscle activity and in absence of an adequate neuromuscular coupling. We reasoned that NAVA (Neurally-Adjusted Ventilatory Assist) ventilation should assure a better neuromuscular coupling compared to PSV and hence the coefficient of determination (CD) of the above equation should be much higher during NAVA ventilation.

Objectives

The aim of this study was to prove the efficacy of the LSF method in obtaining reliable respiratory mechanics data in two different ventilatory modes.

Methods

Twelve patients with acute respiratory failure were enrolled at the admission to the ICU and ventilated using in random order either PSV or NAVA for 3 hours with the same Positive End Expiratory Pressure (PEEPe) and tidal volume (VT) settings. Flow and pressure traces were recorded and subsequently analyzed using the LSF method to obtain data of Rrs, Ers, PEEPtot and coefficient of determination (CD). NAVA and PSV were first compared in terms of CD during the 3 hours of recording. Furthermore, we selected 100 consecutive breaths for each patient in each ventilatory mode to compare the values of elastance (the only non-flow dependent of the equation of motion) obtained either in NAVA or PSV.

Results

The CD during NAVA ventilation was statistically higher than that obtained during PSV (Figure 1) (Chi-squared test: p < 0.001). CD intervals are based on the percentiles of CD distribution in the two ventilatory modes. Ers values for PSV and NAVA are presented in Figure 2.

figure 1

Figure 1

figure 2

Figure 1

Conclusions

Our results seem to confirm that the neuromuscular coupling is much better preserved during NAVA than during PSV.

References

  1. Volta CA, Marangoni E, Alvisi R, et al: Respiratory mechanics by least squares fitting in mechanically ventilated patients: application on flow-limited COPD patients. Intensive Care Med. 2002, 28: 48-52. 10.1007/s00134-001-1147-8.

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  2. Iotti GA, Braschi A, Brunner JX, et al: Respiratory mechanics by least square fitting in mechanically ventilated patients: applications during paralysis and during pressure support ventilation. Intensive Care Med. 1995, 21: 406-413. 10.1007/BF01707409.

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Authors and Affiliations

  1. Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy

    F Dalla Corte, S Spadaro, V Cricca, G Biondi, A Fogagnolo, G Valpiani, S Bertacchini, MV Colamussi, E Marangoni & CA Volta

  2. Emergency and Organ Transplantations, University of Bari, Bari, Italy

    S Grasso & R Di Mussi

Authors
  1. F Dalla Corte
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  2. S Spadaro
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  3. S Grasso
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  4. V Cricca
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  5. G Biondi
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  6. A Fogagnolo
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  7. G Valpiani
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  8. R Di Mussi
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  9. S Bertacchini
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  10. MV Colamussi
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  11. E Marangoni
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  12. CA Volta
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Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0), which permits use, duplication, adaptation, distribution, and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Dalla Corte, F., Spadaro, S., Grasso, S. et al. Validation of the least squares fitting method (lsf) during nava and psv ventilation. ICMx 3 (Suppl 1), A1005 (2015). https://doi.org/10.1186/2197-425X-3-S1-A1005

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  • DOI: https://doi.org/10.1186/2197-425X-3-S1-A1005

Keywords

  • Acute Respiratory Failure
  • Little Square Fitting
  • Respiratory Mechanic
  • Pressure Support Ventilation
  • Ventilatory Assist