Abstract
A thorough airway assessment before induction is key to predicting difficult laryngoscopy. However, traditional techniques vary significantly in their ability to identify difficult airways. Even combining thyromental distance, an upper-lip bite test, and Mallampati scoring can result in the misclassification of numerous patient airways. Furthermore, clinical emergencies and other patient-related factors often preclude traditional assessment.
The increasing ubiquity of ultrasound devices encourages their use across a broad range of anesthetic services, yet their utilization in airway screening remains comparatively rare. Likewise, guidance for which sonographic parameters best predict difficult airways is not widespread. Moreover, the time needed to perform airway sonography and the resources required to train clinicians in its use are similarly not well-known, factoring heavily into the rate of practice adoption. While patient safety is a priority, balancing assessment accuracy with external time and budgetary pressures remains a constant for elective and emergent procedures.
In adult patients preparing to undergo endotracheal intubation, does ultrasound-guided airway assessment offer a more accurate yet timely prediction of difficult airways compared to traditional airway assessments?
The case study examined describes a non-obese female presenting for an elective laparoscopic-assisted ventriculoperitoneal shunt placement.
Sigma Membership
Unknown
Lead Author Affiliation
Samford University, Birmingham, Alabama, USA
Type
DNP Capstone Project
Format Type
Text-based Document
Study Design/Type
Case Study/Series
Research Approach
Translational Research/Evidence-based Practice
Keywords:
Diagnostic Ultrasonography, Airway Management, Laryngoscopy, Point-of-Care Ultrasound, Endotracheal Intubation
Advisor
Cahoon, Terri
Degree
DNP
Degree Grantor
Samford University
Degree Year
2024
Recommended Citation
Strom, Daniel V. and Cahoon, Terri, "Submandibular ultrasonographic assessment of difficult airways" (2024). Group: Samford University Moffett & Sanders School of Nursing. 84.
https://www.sigmarepository.org/samford/84
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Rights Holder
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Review Type
None: Degree-based Submission
Acquisition
Self-submission
Date of Issue
2024-01-24
Full Text of Presentation
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