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ABSTRACT: Objective
As evidence-based guidance to aid clinicians with mechanical ventilation mode selection is scant, we sought to characterize the epidemiology thereof within a university healthcare system and hypothesized that nonconforming approaches could be readily identified. We conducted an exploratory retrospective observational database study of routinely recorded mechanical ventilation parameters between January 1, 2010 and December 31, 2016 from 12 intensive care units. Mode epoch count proportions were examined using Chi squared and Fisher exact tests as appropriate on an inter-unit basis with outlier detection for two test cases via post hoc pairwise analyses of a binomial regression model.Results
Final analysis included 559,734 mode epoch values. Significant heterogeneity was demonstrated between individual units (P?
SUBMITTER: Jabaley CS
PROVIDER: S-EPMC6029057 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature
Jabaley Craig S CS Groff Robert F RF Sharifpour Milad M Raikhelkar Jayashree K JK Blum James M JM
BMC research notes 20180703 1
<h4>Objective</h4>As evidence-based guidance to aid clinicians with mechanical ventilation mode selection is scant, we sought to characterize the epidemiology thereof within a university healthcare system and hypothesized that nonconforming approaches could be readily identified. We conducted an exploratory retrospective observational database study of routinely recorded mechanical ventilation parameters between January 1, 2010 and December 31, 2016 from 12 intensive care units. Mode epoch count ...[more]