Classification and Prediction of Difficult Awake Tracheal Intubation With Flexible Bronchoscopes

Recruiting now

Conditions studied: Anesthesia, Airway Management, Intubation, Intratracheal, Bronchoscopy, Endoscopes

In brief

Airway management problems are key drivers for anesthesia-related adverse events. Awake tracheal intubation using flexible bronchoscopes with preserved spontaneous breathing (ATI:FB) is a recommended technique to manage difficult tracheal intubation in anesthesia, intensive care and emergency medicine. However, a prospective developed classification for this type of airway management is lacking. Due to the absence of a specifically tailored, validated classification for awake intubation with flexible bronchoscopes, many airway operators and institutions use classification tools that were originally developed for direct laryngoscopy, such as the percentage of glottic opening (POGO) score or Cormack-Lehane classification, although their diagnostic performance for the classification of ATI:FB is unknown. This prospective model development and validation study aims to develop two multivariable prediction models: a diagnostic prediction model to classify difficult ATI:FB after ATI:FB has been performed and a second prognostic prediction model to predict the risk for difficult ATI:FB before ATI:FB is performed. An additional aim is to develop a machine learning algorithm to evaluate ATI:FB.

Key facts

Study ID
NCT06953414
Run by
Universitätsklinikum Hamburg-Eppendorf
People needed
313
Starts
2025-04-30
Expected to finish
2026-01-31
Last updated by the study team
2025-05-06

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.