Secondary Logo

Institutional members access full text with Ovid®

Share this article on:

The Association Between Ventilator Dyssynchrony, Delivered Tidal Volume, and Sedation Using a Novel Automated Ventilator Dyssynchrony Detection Algorithm*

Sottile, Peter, D., MD1; Albers, David, PhD2; Higgins, Carrie, RN1; Mckeehan, Jeffery, RN1; Moss, Marc, M., MD1

doi: 10.1097/CCM.0000000000002849
Online Clinical Investigations

Objective: Ventilator dyssynchrony is potentially harmful to patients with or at risk for the acute respiratory distress syndrome. Automated detection of ventilator dyssynchrony from ventilator waveforms has been difficult. It is unclear if certain types of ventilator dyssynchrony deliver large tidal volumes and whether levels of sedation alter the frequency of ventilator dyssynchrony.

Design: A prospective observational study.

Setting: A university medical ICU.

Patients: Patients with or at risk for acute respiratory distress syndrome.

Interventions: Continuous pressure-time, flow-time, and volume-time data were directly obtained from the ventilator. The level of sedation and the use of neuromuscular blockade was extracted from the medical record. Machine learning algorithms that incorporate clinical insight were developed and trained to detect four previously described and clinically relevant forms of ventilator dyssynchrony. The association between normalized tidal volume and ventilator dyssynchrony and the association between sedation and the frequency of ventilator dyssynchrony were determined.

Measurements and Main Results: A total of 4.26 million breaths were recorded from 62 ventilated patients. Our algorithm detected three types of ventilator dyssynchrony with an area under the receiver operator curve of greater than 0.89. Ventilator dyssynchrony occurred in 34.4% (95% CI, 34.41–34.49%) of breaths. When compared with synchronous breaths, double-triggered and flow-limited breaths were more likely to deliver tidal volumes greater than 10 mL/kg (40% and 11% compared with 0.2%; p < 0.001 for both comparisons). Deep sedation reduced but did not eliminate the frequency of all ventilator dyssynchrony breaths (p < 0.05). Ventilator dyssynchrony was eliminated with neuromuscular blockade (p < 0.001).

Conclusion: We developed a computerized algorithm that accurately detects three types of ventilator dyssynchrony. Double-triggered and flow-limited breaths are associated with the frequent delivery of tidal volumes of greater than 10 mL/kg. Although ventilator dyssynchrony is reduced by deep sedation, potentially deleterious tidal volumes may still be delivered. However, neuromuscular blockade effectively eliminates ventilator dyssynchrony.

1Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, CO.

2Department of Biomedical Information, University of Columbia, New York, NY.

*See also p. 345.

All research was performed at the University of Colorado – Anschutz Medical Campus.

Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s website (http://journals.lww.com/ccmjournal).

Drs. Sottile and Moss were funded by National Institute of Health [K24 HL069223], NIH/National Center for Advancing Translational Sciences (NCATS) Colorado CTSA [UL1 TR001082]. Dr. Albers was funded by NLM grant R01 LM06910 and from NHGRI grant 5U01HG008680-02.

Drs. Sottile, Albers, Mr. McKeehan, and Dr. Moss received support for article research from the National Institutes of Health (NIH). Dr. Sottile’s institution received funding from the NIH. Ms. Higgins has disclosed that she does not have any potential conflicts of interest.

For information regarding this article, E-mail: peter.sottile@ucdenver.edu

Copyright © by 2018 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.