<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Balas MC</submitter><funding>National Center for Advancing Translational Sciences</funding><funding>NCATS NIH HHS</funding><funding>American Association of Critical-Care Nurses</funding><funding>Society of Critical Care Medicine</funding><funding>NIA NIH HHS</funding><funding>National Heart, Lung, and Blood Institute</funding><funding>NHLBI NIH HHS</funding><funding>Gordon and Betty Moore Foundation</funding><funding>National Institutes of Health</funding><pagination>588-602</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9470738</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>162(3)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Broad-scale adoption of spontaneous awakening trials (SATs) and spontaneous breathing trials (SBTs) into everyday practice has been slow, and uncertainty exists regarding what factors facilitate or impede their routine delivery.&lt;h4>Research question&lt;/h4>What patient, practice, and pharmacologic factors are associated with SAT and SBT performance and to what extent do they predict overall SAT/SBT performance?&lt;h4>Study design and methods&lt;/h4>This secondary analysis used data collected from a national quality improvement collaborative composed of 68 diverse ICUs. Adults with critical illness adults who received mechanical ventilation and/or continuously infused sedative medications were included. We performed mixed-effects logistic regression modeling, created receiver oper</pubmed_abstract><journal>Chest</journal><pubmed_title>Factors Associated With Spontaneous Awakening Trial and Spontaneous Breathing Trial Performance in Adults With Critical Illness: Analysis of a Multicenter, Nationwide, Cohort Study.</pubmed_title><pmcid>PMC9470738</pmcid><funding_grant_id>R03AG063276</funding_grant_id><funding_grant_id>R01 HL146781</funding_grant_id><funding_grant_id>UL1 TR000445</funding_grant_id><funding_grant_id>R01HL14678-01</funding_grant_id><funding_grant_id>R03 AG063276</funding_grant_id><funding_grant_id>R01HL14678</funding_grant_id><funding_grant_id>R01 AG062685</funding_grant_id><funding_grant_id>R01AG062685</funding_grant_id><pubmed_authors>Jun J</pubmed_authors><pubmed_authors>Pun B</pubmed_authors><pubmed_authors>Vasilevskis EE</pubmed_authors><pubmed_authors>Balas MC</pubmed_authors><pubmed_authors>Mu J</pubmed_authors><pubmed_authors>Mion LC</pubmed_authors><pubmed_authors>Ely EW</pubmed_authors><pubmed_authors>Brockman A</pubmed_authors><pubmed_authors>Tan A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Factors Associated With Spontaneous Awakening Trial and Spontaneous Breathing Trial Performance in Adults With Critical Illness: Analysis of a Multicenter, Nationwide, Cohort Study.</name><description>&lt;h4>Background&lt;/h4>Broad-scale adoption of spontaneous awakening trials (SATs) and spontaneous breathing trials (SBTs) into everyday practice has been slow, and uncertainty exists regarding what factors facilitate or impede their routine delivery.&lt;h4>Research question&lt;/h4>What patient, practice, and pharmacologic factors are associated with SAT and SBT performance and to what extent do they predict overall SAT/SBT performance?&lt;h4>Study design and methods&lt;/h4>This secondary analysis used data collected from a national quality improvement collaborative composed of 68 diverse ICUs. Adults with critical illness adults who received mechanical ventilation and/or continuously infused sedative medications were included. We performed mixed-effects logistic regression modeling, created receiver oper</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Sep</publication><modification>2025-04-04T20:04:19.92Z</modification><creation>2025-04-04T20:04:19.92Z</creation></dates><accession>S-EPMC9470738</accession><cross_references><pubmed>35063453</pubmed><doi>10.1016/j.chest.2022.01.018</doi></cross_references></HashMap>