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

NCT ID: NCT07275567

Last Updated: 2025-12-10

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

1785 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-04-01

Study Completion Date

2025-11-30

Brief Summary

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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.

Detailed Description

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Conditions

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Airway Management Intubation; Difficult or Failed Airway Complication of Anesthesia

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Universitätsklinikum Hamburg-Eppendorf

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Department of Anesthesiology, Center for Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf

Hamburg, , Germany

Site Status

Countries

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Germany

References

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Kohse EK, Siebert HK, Sasu PB, Loock K, Dohrmann T, Breitfeld P, Barclay-Steuart A, Stark M, Sehner S, Zollner C, Petzoldt M. A model to predict difficult airway alerts after videolaryngoscopy in adults with anticipated difficult airways - the VIDIAC score. Anaesthesia. 2022 Oct;77(10):1089-1096. doi: 10.1111/anae.15841. Epub 2022 Aug 25.

Reference Type RESULT
PMID: 36006056 (View on PubMed)

Kohl V, Wunsch VA, Muller MC, Sasu PB, Dohrmann T, Peters T, Tolkmitt J, Dankert A, Krause L, Zollner C, Petzoldt M. Hyperangulated vs. Macintosh videolaryngoscopy in adults with anticipated difficult airway management: a randomised controlled trial. Anaesthesia. 2024 Sep;79(9):957-966. doi: 10.1111/anae.16326. Epub 2024 May 24.

Reference Type RESULT
PMID: 38789407 (View on PubMed)

Popal Z, Sieg HH, Muller-Wiegand L, Breitfeld P, Dankert A, Sasu PB, Wunsch VA, Krause L, Zollner C, Petzoldt M. Decision-Making Tool for Planning Camera-Assisted and Awake Intubation in Head and Neck Surgery. JAMA Otolaryngol Head Neck Surg. 2025 Jun 1;151(6):585-594. doi: 10.1001/jamaoto.2025.0538.

Reference Type RESULT
PMID: 40310618 (View on PubMed)

Other Identifiers

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2024-300503-WF

Identifier Type: -

Identifier Source: org_study_id

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