Airway Ultrasound Assessment in the Prediction of Difficult Airway
Review of Classical Predictors and Role of Airway Ultrasound in the Prediction of Difficult Airway
1 other identifier
observational
200
1 country
1
Brief Summary
To assess whether the thickness of pre-tracheal fat, greater than 28 mm, and measured by ultrasound, constitutes a reliable parameter in the prediction of a difficult airway.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2021
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2021
CompletedFirst Submitted
Initial submission to the registry
March 23, 2021
CompletedFirst Posted
Study publicly available on registry
March 25, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
January 1, 2022
CompletedMarch 25, 2021
March 1, 2021
1 year
March 23, 2021
March 23, 2021
Conditions
Outcome Measures
Primary Outcomes (1)
Pretracheal fat thickness for intubation complexity
The pretracheal fat at the level of the vocal cords will be evaluated with ultrasound, to discern if a certain thickness is related to a difficult laryngoscopic vision (understood as cormack 3 or 4)
5 minutes
Interventions
Ultrasound evaluation of airway
Eligibility Criteria
Patients under general anesthesia with orotracheal intubation
You may qualify if:
- Patients risk ASA I-IV
- Non-urgent surgery under general anesthesia with orotracheal intubation
- Acceptance to participate and grant written consent
You may not qualify if:
- Urgent surgery
- Patients with a history of craniocervical pathology (trauma, tumor, malformations)
- Pregnancy
- Patient Refusal
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Hospital Universitario Fundación Jimenez Díaz
Madrid, 28040, Spain
Related Publications (1)
Madrid-Vazquez L, Casans-Frances R, Gomez-Rios MA, Cabrera-Sucre ML, Granacher PP, Munoz-Alameda LE. Machine learning models based on ultrasound and physical examination for airway assessment. Rev Esp Anestesiol Reanim (Engl Ed). 2024 Oct;71(8):563-569. doi: 10.1016/j.redare.2024.05.006. Epub 2024 May 31.
PMID: 38825182DERIVED
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 23, 2021
First Posted
March 25, 2021
Study Start
January 1, 2021
Primary Completion
January 1, 2022
Study Completion
January 1, 2022
Last Updated
March 25, 2021
Record last verified: 2021-03