2018
DOI: 10.1097/ccm.0000000000002849
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The Association Between Ventilator Dyssynchrony, Delivered Tidal Volume, and Sedation Using a Novel Automated Ventilator Dyssynchrony Detection Algorithm*

Abstract: 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.

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Cited by 74 publications
(105 citation statements)
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“…Using these methods, our team has annotated 318,676 dualadjudicated breaths for use in development of VM and PVA detection algorithms, which represents one of the largest existing collections of multi-reviewer annotated VWD. (1,7,15,17,39,40) Historically, VWD annotation has been performed either by hand, use of electronic spreadsheets, and most recently by the web-based ExpertLabeler system. (41) A major limitation of these methods is that classifications are performed by visual criteria alone which are subject to high inter-rater bias due to reviewer subjectivity and local practice pattern.…”
Section: Discussionmentioning
confidence: 99%
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“…Using these methods, our team has annotated 318,676 dualadjudicated breaths for use in development of VM and PVA detection algorithms, which represents one of the largest existing collections of multi-reviewer annotated VWD. (1,7,15,17,39,40) Historically, VWD annotation has been performed either by hand, use of electronic spreadsheets, and most recently by the web-based ExpertLabeler system. (41) A major limitation of these methods is that classifications are performed by visual criteria alone which are subject to high inter-rater bias due to reviewer subjectivity and local practice pattern.…”
Section: Discussionmentioning
confidence: 99%
“…(1-3) Accurately and reproducibly annotating data requires substantial investment of effort from time-limited, expert reviewers, which to date has limited the size and generalizability of validated datasets. (4)(5)(6)(7) These challenges are salient in research related to mechanical ventilation (MV).…”
Section: Introductionmentioning
confidence: 99%
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