Data-driven Development of a Core Dataset for Difficult Airway Alerts (FingAIRprint)

Universitätsklinikum Hamburg-Eppendorf

Status: Active, not recruiting

Conditions: Airway Management; Airway Complication of Anesthesia; Intubation; Difficult or Failed

Study type: Observational

Funder types: Other

Identifiers

NCT07275567

2024-300503-WF

Details and patient eligibility

About

Previous difficult airway management is the most accurate predictor of future difficulty. Consistent documentation is paramount for future airway planning, but requires reliable, reproducible and easily accessible information. Currently, anaesthesia alert cards are often based on analogue hard copies while they lack a clinically meaningful core data set allowing structured reproducible documentation and risk estimation. Further, existing alert cards are often inconsistently used and clear triggers for issuing of airway alert cards are widely undefined. The FingAIRprint project aims to develop a justifiable core data set using a data-driven approach in patients undergoing tracheal intubation with videolaryngoscopy or direct laryngoscopy, that is intended to be used for documentation of digital airway alerts.

Enrollment: 1,785 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients undergoing general anesthesia with tracheal intubation
• Informed consent obtained
• Age > 18 years

Exclusion criteria

• Indication for intubation via a bronchoscope or awake intubation
• Pregnant women