Comparing ventilation modes by electrical impedance segmentography in ventilated children.

Abstract

Electrical impedance segmentography offers a new radiation-free possibility of continuous bedside ventilation monitoring. The aim of this study was to evaluate the efficacy and reproducibility of this bedside tool by comparing synchronized intermittent mandatory ventilation (SIMV) with neurally adjusted ventilatory assist (NAVA) in critically-ill children. In this prospective randomized case-control crossover trial in a pediatric intensive care unit of a tertiary center, including eight mechanically-ventilated children, four sequences of two different ventilation modes were consecutively applied. All children were randomized into two groups; starting on NAVA or SIMV. During ventilation, electric impedance segmentography measurements were recorded. The relative difference of vertical impedance between both ventilatory modes was measured (median 0.52, IQR 0-0.87). These differences in left apical lung segments were present during the first (median 0.58, IQR 0-0.89, p = 0.04) and second crossover (median 0.50, IQR 0-0.88, p = 0.05) as well as across total impedance (0.52 IQR 0-0.87; p = 0.002). During NAVA children showed a shift of impedance towards caudal lung segments, compared to SIMV. Electrical impedance segmentography enables dynamic monitoring of transthoracic impedance. The immediate benefit of personalized ventilatory strategies can be seen when using this simple-to-apply bedside tool for measuring lung impedance.

• Authors: Jennifer Bettina Brandt, Alex Mahlknecht, Tobias Werther, Roman Ullrich, Michael Hermon
• Journal: Journal of clinical monitoring and computing (J Clin Monit Comput) Vol. 36 Issue 6 Pg. 1795-1803 (12 2022) ISSN: 1573-2614 [Electronic] Netherlands
• PMID: 35165819 (Publication Type: Randomized Controlled Trial, Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: © 2022. The Author(s).

Topics

• Child
• Humans
• Electric Impedance
• Prospective Studies
• Reproducibility of Results
• Interactive Ventilatory Support
• Respiration, Artificial