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A diaphragmatic electrical activity-based optimization strategy during pressure support ventilation improves

Francois Beloncle^1,2,3, Lise Piquilloud^3,4, Nuttapol Rittayamai^1,2,5

¹Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.

Critical Care (London, England)

|February 1, 2017

Abstract

Background:

Poor patient-ventilator synchronization is often observed during pressure support ventilation (PSV) and has been associated with prolonged duration of mechanical ventilation and poor outcome. Diaphragmatic electrical activity (Eadi) recorded using specialized nasogastric tubes is a surrogate of respiratory brain stem output. This study aimed at testing whether adapting ventilator settings during PSV using a protocolized Eadi-based optimization strategy, or Eadi-triggered and -cycled assisted pressure ventilation (or PSV_N) could (1) improve patient-ventilator interaction and (2) reduce or normalize patient respiratory effort as estimated by the work of breathing (WOB) and the pressure time product (PTP).

Methods:

This was a prospective cross-over study. Patients with a known chronic pulmonary obstructive or restrictive disease, asynchronies or suspected intrinsic positive end-expiratory pressure (PEEP) who were ventilated using PSV were enrolled in the study. Four different ventilator settings were sequentially applied for 15 minutes (step 1: baseline PSV as set by the clinician, step 2: Eadi-optimized PSV to adjust PS level, inspiratory trigger, and cycling settings, step 3: step 2 + PEEP adjustment, step 4: PSV_N). The same settings as step 3 were applied again after step 4 to rule out a potential effect of time. Breathing pattern, trigger delay (T_d), inspiratory time in excess (T_iex), pressure-time product (PTP), and work of breathing (WOB) were measured at the end of each step.

Results:

Eleven patients were enrolled in the study. Eadi-optimized PSV reduced T_d without altering T_iex in comparison with baseline PSV. PSV_N reduced T_d and T_iex in comparison with baseline and Eadi-optimized PSV. Respiratory pattern did not change during the four steps. The improvement in patient-ventilator interaction did not lead to changes in WOB or PTP.

Conclusions:

Eadi-optimized PSV allows improving patient ventilator interaction but does not alter patient effort in patients with mild asynchrony.

Trial Registration:

Clinicaltrials.gov identifier: NCT 02067403 . Registered 7 February 2014.

Keywords:

Asynchrony Chronic pulmonary obstructive Mechanical ventilation Neurally adjusted ventilatory assist Pressure support ventilation Restrictive disease

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