Study to Develop and Validate Classification and Prediction Models for Difficult Awake Tracheal Intubation Using Flexible Bronchoscopes

What this Trial Is About

Researchers are studying airway management challenges during anesthesia, focusing on awake tracheal intubation using flexible bronchoscopes ATIFB. This method helps manage difficult intubations while patients breathe spontaneously. The study aims to develop and validate two prediction models one to classify difficulty after ATIFB and another to predict difficulty before the procedure. It also explores using machine learning to assess ATIFB. The study is observational and involves patients with anticipated difficult airways scheduled for ATIFB. There are no interventional treatments instead, researchers will observe and collect data during the procedure. The focus is on evaluating airway management techniques and their outcomes. Participants will undergo ATIFB as part of their scheduled care, during which data on procedure difficulty, success rates, timing, oxygen levels, cardiovascular events, and patient discomfort will be recorded within one hour. Researchers will use these observations to develop prediction models and assess related airway complications. The study includes consented adult patients and excludes those not scheduled for ATIFB or who are pregnant or breastfeeding.

Classification and Prediction of Difficult Awake Tracheal Intubation With Flexible Bronchoscopes