NAVA enhances tidal volume and diaphragmatic electro-myographic activity matching: a Range90 analysis of supply and demand

Katherine T. Moorhead, Lise Piquilloud, Bernard Lambermont, Jean Roeseler, Yeong Shiong Chiew, J. Geoffrey Chase, Jean Pierre Revelly, Emilie Bialais, Didier Tassaux, Pierre François Laterre, Philippe Jolliet, Thierry Sottiaux, Thomas Desaive

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Abstract

Neurally adjusted ventilatory assist (NAVA) is a ventilation assist mode that delivers pressure in proportionality to electrical activity of the diaphragm (Eadi). Compared to pressure support ventilation (PS), it improves patient-ventilator synchrony and should allow a better expression of patient's intrinsic respiratory variability. We hypothesize that NAVA provides better matching in ventilator tidal volume (Vt) to patients inspiratory demand. 22 patients with acute respiratory failure, ventilated with PS were included in the study. A comparative study was carried out between PS and NAVA, with NAVA gain ensuring the same peak airway pressure as PS. Robust coefficients of variation (CVR) for Eadi and Vt were compared for each mode. The integral of Eadi (∫Eadi) was used to represent patient's inspiratory demand. To evaluate tidal volume and patient's demand matching, Range90 = 5-95 % range of the Vt/∫Eadi ratio was calculated, to normalize and compare differences in demand within and between patients and modes. In this study, peak Eadi and ∫Eadi are correlated with median correlation of coefficients, R > 0.95. Median ∫Eadi, Vt, neural inspiratory time (Ti- Neural ), inspiratory time (Ti) and peak inspiratory pressure (PIP) were similar in PS and NAVA. However, it was found that individual patients have higher or smaller ∫Eadi, Vt, Ti- Neural, Ti and PIP. CVR analysis showed greater Vt variability for NAVA (p < 0.005). Range90 was lower for NAVA than PS for 21 of 22 patients. NAVA provided better matching of Vt to ∫Eadi for 21 of 22 patients, and provided greater variability Vt. These results were achieved regardless of differences in ventilatory demand (Eadi) between patients and modes.

Original languageEnglish
Pages (from-to)61-70
Number of pages10
JournalJournal of Clinical Monitoring and Computing
Volume27
Issue number1
DOIs
Publication statusPublished - Feb 2013
Externally publishedYes

Keywords

  • Matching
  • Mechanical ventilation
  • NAVA
  • Patient-ventilator interaction
  • Variability

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