by Tommaso Mauri, Elena Spinelli, Francesca Dalla Corte,
Eleonora Scotti, Cecilia Turrini, Marta Lazzeri, Laura Alban, Marco Albanese,
Donatella Tortolani, Yu-Mei Wang, Savino Spadaro, Jian-Xin Zhou, Antonio
Pesenti and Giacomo Grasselli
Annals of Intensive
Care: volume 9, Article number: 83 (2019)
Background:
Noninvasive monitoring of maximal inspiratory and
expiratory flows (MIF and MEF, respectively) by electrical impedance tomography
(EIT) might enable early recognition of changes in the mechanical properties of
the respiratory system due to new conditions or in response to treatments. We
aimed to validate EIT-based measures of MIF and MEF against spirometry in
intubated hypoxemic patients during controlled ventilation and spontaneous
breathing. Moreover, regional distribution of maximal airflows might interact
with lung pathology and increase the risk of additional ventilation injury.
Thus, we also aimed to describe the effects of mechanical ventilation settings
on regional MIF and MEF.
Methods:
We performed a new analysis of data from two prospective,
randomized, crossover studies. We included intubated patients admitted to the
intensive care unit with acute hypoxemic respiratory failure (AHRF) and acute
respiratory distress syndrome (ARDS) undergoing pressure support ventilation
(PSV, n = 10) and volume-controlled ventilation (VCV, n = 20). We
measured MIF and MEF by spirometry and EIT during six different combinations of
ventilation settings: higher vs. lower support during PSV and higher vs. lower
positive end-expiratory pressure (PEEP) during both PSV and VCV. Regional
airflows were assessed by EIT in dependent and non-dependent lung regions, too.
Results:
MIF and MEF measured by EIT were tightly correlated with
those measured by spirometry during all conditions (range of R2 0.629–0.776
and R2 0.606–0.772, respectively, p < 0.05 for all), with
clinically acceptable limits of agreement. Higher PEEP significantly improved
homogeneity in the regional distribution of MIF and MEF during volume-controlled
ventilation, by increasing airflows in the dependent lung regions and lowering
them in the non-dependent ones.
Conclusions:
EIT provides accurate noninvasive monitoring of MIF and
MEF. The present study also generates the hypothesis that EIT could guide PSV
and PEEP settings aimed to increase homogeneity of distending and deflating
regional airflows.
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