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Utility of Bedside Ultrasound in the Prediction of Difficult Airway

Utility of Bedside Ultrasound in the Prediction of Difficult Airway

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT00799357
Enrollment
162
Registered
2008-11-27
Start date
2008-12-09
Completion date
2009-06-01
Last updated
2023-08-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Laryngoscopy

Keywords

ultrasound

Brief summary

The purpose of this study is to assess the utility of bedside ultrasound to predict difficult airway in patients requiring emergency intubation.

Detailed description

A variety of pre-intubation clinical screening tests have been advocated to predict difficult laryngoscopy, but their usefulness is limited in emergency department, intensive care unit, pre-hospital and combat settings. Patients in these settings are often confused, lethargic, obtunded, uncooperative and common screening tests for difficult laryngoscopy cannot be applied in a large number of emergency intubations. In the recent past, there has been growing interest in upper airway ultrasound. The purpose of this study is to assess the utility of bedside ultrasound to predict difficult airway in patients requiring emergency intubation.

Interventions

None listed

Sponsors

The Association for Medical Ultrasound
CollaboratorOTHER
University of Nebraska
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
19 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients scheduled for any surgery under general anesthesia with endotracheal intubation

Exclusion criteria

* Upper airway pathologies (facial fractures, tumours, etc) * Cervical spine fractures * Tracheostomy tube * unable to give consent

Design outcomes

Primary

MeasureTime frame
Predictors of difficult laryngoscopyone day

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026