Abstract
Incorrect sizing of pediatric endotracheal tubes (ETTs) can result in serious complications and significantly increase morbidity and mortality. Problematically, there is no consensus on a standardized formula or method to assist providers in the selection of appropriate pediatric ETT size. Historically, providers have used age-based formulas (ABFs), height-based formulas, and other methods to predict appropriate ETT size. However, these formulas and methods are frequently inaccurate and can't be extrapolated to all pediatric patients.
Due to the significant complications that can result from inappropriately sized pediatric ETTs, the accuracy of traditional formulas and methods should be evaluated, and new methods should be considered. Ultrasound (US) has emerged as a method to assess the subglottic area to indirectly measure and predict pediatric ETT size.
Sigma Membership
Non-member
Lead Author Affiliation
Samford University, Birmingham, Alabama, USA
Type
DNP Capstone Project
Format Type
Text-based Document
Study Design/Type
N/A
Research Approach
Translational Research/Evidence-based Practice
Keywords:
Pediatric Care, Endotracheal Tube Size, Ultrasonography
Advisor
Barnes, Lauren
Degree
Doctoral-Other
Degree Grantor
Samford University
Degree Year
2023
Recommended Citation
Crump, Laura, "Methods to appropriately size pediatric endotracheal tubes" (2023). Group: Samford University Moffett & Sanders School of Nursing. 85.
https://www.sigmarepository.org/samford/85
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Self-submission
Date of Issue
2023-01-31
Full Text of Presentation
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