Abstract

Airway management is a critical aspect of anesthetic practice, particularly in patients presenting with multiple clinical signs indicating a potentially difficult airway (DA). This case report examined utilization of the difficult airway algorithm in a 48-year-old male patient who presented for maxillomandibular advancement surgery due to chronic obstructive sleep apnea (OSA). Despite advancements in airway management technology, the incidence of adverse events remains a concern, particularly in patients with anatomic characteristics consistent with DA. The creation and use of standardized protocols to include these recommendations for DA management optimizes patient outcomes by reducing errors in practitioner judgment. This poster presentation includes tools to be used for the identification and management of DA, including a clinical practice algorithm to follow when DA is suspected during the preoperative period.

Author Details

Joshua McCool, DNP(c), BSN, RN

Sigma Membership

Non-member

Type

DNP Capstone Project

Format Type

Text-based Document

Study Design/Type

Clinical Practice Guideline(s)

Research Approach

Translational Research/Evidence-based Practice

Keywords:

Difficult Airway, Failed Intubation, Combined Techniques

Advisor

Maria Ledbetter

Second Advisor

Mary Beth Greenway

Degree

DNP

Degree Grantor

Samford University

Degree Year

2025

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

Proxy-submission

Full Text of Presentation

wf_yes

Poster

Additional Files

Abstract.pdf (96 kB)

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