Retrospective Review of Mechanically Ventilated Patients Using a Continuous Data Collection System.
NCT ID: NCT02184208
Last Updated: 2018-02-05
Study Results
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View full resultsBasic Information
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COMPLETED
278 participants
OBSERVATIONAL
2014-01-17
2017-01-09
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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Device utlization following extubation
No interventions assigned to this group
Pulmonary mechanics
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
1 Day
35 Years
ALL
No
Sponsors
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Boston Children's Hospital
OTHER
Responsible Party
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Brian Walsh
Research Coordinator / Research Associate
Locations
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Boston Children's Hospital
Boston, Massachusetts, United States
Countries
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References
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Castineira D, Schlosser KR, Geva A, Rahmani AR, Fiore G, Walsh BK, Smallwood CD, Arnold JH, Santillana M. Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach. Respir Care. 2020 Sep;65(9):1367-1377. doi: 10.4187/respcare.07561.
Walsh BK, Smallwood C, Rettig J, Kacmarek RM, Thompson J, Arnold JH. Daily Goals Formulation and Enhanced Visualization of Mechanical Ventilation Variance Improves Mechanical Ventilation Score. Respir Care. 2017 Mar;62(3):268-278. doi: 10.4187/respcare.04873. Epub 2017 Jan 10.
Walsh BK, Smallwood CD, Rettig JS, Thompson JE, Kacmarek RM, Arnold JH. Categorization in Mechanically Ventilated Pediatric Subjects: A Proposed Method to Improve Quality. Respir Care. 2016 Sep;61(9):1168-78. doi: 10.4187/respcare.04723. Epub 2016 Jun 14.
Other Identifiers
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IRB-P000011819
Identifier Type: -
Identifier Source: org_study_id
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