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Classification and Prediction of Difficult Awake Tracheal Intubation With Flexible Bronchoscopes

Classification and Prediction of Difficult Awake Tracheal Intubation With Flexible Bronchoscopes

Recruiting
18 years and older
All
Phase N/A
  • Technical (Original)
  • Simplified (AI rewritten)

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Overview

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.

Eligibility

Inclusion Criteria:

  • Patients with an anticipated difficult airways scheduled for ATI:FB
  • Consent by the patient
  • Minimum 18 years of age

Exclusion Criteria:

  • Patients not scheduled for ATI:FB
  • Pregnant or breastfeeding patients
  • Consent not given by the patient

Study details
    Anesthesia
    Airway Management
    Intubation
    Intratracheal
    Bronchoscopy
    Endoscopes

NCT06953414

Universitätsklinikum Hamburg-Eppendorf

15 October 2025

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