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

NCT07275567 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1785

Last updated 2025-12-10

No results posted yet for this study

Summary

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.

Conditions

  • Airway Management
  • Intubation; Difficult or Failed
  • Airway Complication of Anesthesia

Sponsors & Collaborators

  • Universitätsklinikum Hamburg-Eppendorf

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-04-01
Primary Completion
2023-07-31
Completion
2025-11-30

Countries

  • Germany

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07275567 on ClinicalTrials.gov