Evidence-based Algorithm for the Expected Difficult Intubation (Expect-it)

March 1, 2022 updated by: Universitätsklinikum Hamburg-Eppendorf

Development and Implementation of an Evidence-based Clinical Algorithm for the Expected Difficult Intubation

The Expect-it study aims to accompany the development and clinical implementation process of a new algorithm for the management of expected difficult intubation. The new algorithm is designed to allocate patients to specific tracheal intubation techniques. After assessing the status quo (non-algorithm-based decision-making) the new algorithm-based allocation will be compared with this clinical standard within a confirmatory diagnostic accuracy study (post-implementation).

Study Overview

Detailed Description

Difficult tracheal intubation is one of the major reasons for anesthesia-related adverse events. Patients undergoing ear, nose & throat (ENT) or oral and maxillofacial (OMS) surgery often require tracheal intubation for general anesthesia but are at increased risk for difficult tracheal intubation. Currently, existing preoperative tests for the prediction of difficult intubation show low diagnostic accuracy. Moreover, as the results of these prediction tests are not coupled with concrete treatment recommendations, they cannot be used targeted within preventive concepts. An evidence based rational algorithm for the management of expected difficult intubation has not been developed yet. It is unknown, if an algorithm-based allocation to an intubation approach might be advantageous compared with a non-algorithm-based allocation strategy.

The Expect-it study aims to accompany the development and clinical implementation process of a new algorithm for the management of expected difficult intubation. This new algorithm is designed to provide an evidence-based decision-making tool for a rational pre-choice of tracheal intubation techniques, anesthetized intubation by direct laryngoscopy (DL) or videolaryngoscopy (VL) or awake tracheal intubation (ATI). In the first study phase the status quo (clinical standard, non-algorithm-based decision-making) will be assessed (three-month period with an approximated case number of up to 600 patients). The Expect-it algorithm will be implemented thereafter. Between both study phases, the algorithm will be updated (based on the findings of the first phase), sensitivity and specificity of the clinical standard will be calculated, sample size will critically be appraised and readjusted (approximately 600 within at least three months), if appropriate. The second study phase is a confirmatory diagnostic accuracy study for the new algorithm with a single test study design, that aims to proof, if the new Expect-it algorithm is superior or at least non-inferior to the clinical standard, defined as superiority in either the specificity or sensitivity and non-inferiority in the other co-primary endpoint in each domain (ATI, DL, VL) (pre-planned preliminary analysis of the first study phase; IRB amendment 2021-10459_2-BO-ff, December 3, 2021). Sensitivity and specificity are considered co-primary endpoints. Study planning and conduction is in accordance with the Standards for Reporting Diagnostic accuracy studies (STARD) statement. The Expect-it study will further include two surveys among anesthetist in the study center in order to evaluate challenges and obstacles associated with the implementation process and possible clinical implications of the algorithm. An additional analysis will be performed to test a core data set for an 'anesthesia alert card'.

Study Type

Observational

Enrollment (Actual)

1282

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Hamburg, Germany, 20246
        • University Medical Center Hamburg-Eppendorf

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Consecutive sampling: Adult patients that undergo ENT or OMS surgery in a tertiary care hospital who require tracheal intubation and consent to participate within two predefined study periods of at least 3 months.

Description

Inclusion Criteria:

  • Patients undergoing ENT or OMS surgery that require general anesthesia with tracheal intubation (either DL, VL or ATI)
  • Age ≥ 18 years

Exclusion Criteria:

  • Denial of consent
  • Planned intubation technique is not designated in the study protocol as it differs from either DL, VL, ATI (e.g. primary tracheotomy or rigid bronchoscopy)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Clinical standard (first study phase)
Current clinical standard, non-algorithm-based decision-making (prior to implementation of the algorithm)
Exposure of interest: clinical implementation of an algorithm
Algorithm-based allocation (second study phase)
New algorithm-based allocation to an intubation technique (after implementation of the algorithm)
Exposure of interest: clinical implementation of an algorithm

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
First phase: sensitivity and specificity (co-primary endpoints) of the clinical standard
Time Frame: 3 months
Clinical assessment
3 months
Second phase: sensitivity and specificity (co-primary endpoints) of 'ATI recommendation' by the algorithm vs. 'VL/DL'
Time Frame: 3 months
Clinical assessment
3 months
Second phase: sensitivity and specificity (co-primary endpoints) of 'DL recommendation' by the algorithm vs. 'VL/ATI'
Time Frame: 3 months
Clinical assessment
3 months
Second phase: sensitivity and specificity (co-primary endpoints) of 'VL recommendation' by the algorithm vs. 'DL/ATI'
Time Frame: 3 months
Clinical assessment
3 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Airway-related adverse events
Time Frame: 1 hour
Laryngospasm, bronchospasm, larynx trauma, airway trauma, soft tissue trauma, oral bleeding, edema, dental damage, corticosteroid application, accidental esophageal intubation, aspiration, hypotension or hypoxia
1 hour
Post-intubation recommendation for an intubation method
Time Frame: 1 hour
Recommendation of the responsible anesthetist
1 hour
Post-intubation recommendation for an anesthesia alert card
Time Frame: 1 hour
Recommendation of the responsible anesthetist
1 hour
Post-intubation diagnosis 'difficult intubation'
Time Frame: 1 hour
Rating of the responsible anesthetist
1 hour
Post-intubation diagnosis 'difficult face-mask-ventilation'
Time Frame: 1 hour
Rating of the responsible anesthetist
1 hour
Classification of intubation difficulty (VIDIAC classification)
Time Frame: 1 hour
Rating between -1 and 5 points
1 hour
Best glottic view
Time Frame: 1 hour
Grading according to 'Percentage of Glottis Opening' (POGO)
1 hour
Best glottic view
Time Frame: 1 hour
Grading according to the Cormack Lehane classification (I-IV)
1 hour
First pass success rate
Time Frame: 1 hour
Percentage of successful intubations with one attempt
1 hour
Overall success rate of the first choice technique
Time Frame: 1 hour
Percentage of successful intubation without transition to another technique
1 hour
Number of attempts
Time Frame: 1 hour
Total number of attempts until airway established
1 hour
Intubation time
Time Frame: 1 hour
Time to successful tracheal intubation
1 hour
Lowest oxygen saturation
Time Frame: 1 hour
Measured with pulse oxymetry during anesthesia induction
1 hour
Overall intubation difficulty, ease of intubation, quality of visualization
Time Frame: 1 hour
Subjective ratings on visual analogue scales (0 to 100 with 0 being the best)
1 hour
Patient discomfort, satisfaction, symptoms
Time Frame: 12 hours
Clinical assessment during follow-up
12 hours
Clinical evaluation of a core dataset 'anesthesia alert card'
Time Frame: 10 months
Rating of various anesthetist
10 months
Quality of care of the current clinical standard and the effects of algorithm implementation
Time Frame: 7 months
Survey among anesthetist
7 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Christian Zöllner, MD, Universitätsklinikum Hamburg-Eppendorf
  • Study Chair: Antonia Zapf, PhD, Universitätsklinikum Hamburg-Eppendorf

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 1, 2021

Primary Completion (Actual)

January 29, 2022

Study Completion (Actual)

January 29, 2022

Study Registration Dates

First Submitted

April 13, 2021

First Submitted That Met QC Criteria

April 24, 2021

First Posted (Actual)

April 28, 2021

Study Record Updates

Last Update Posted (Actual)

March 2, 2022

Last Update Submitted That Met QC Criteria

March 1, 2022

Last Verified

March 1, 2022

More Information

Terms related to this study

Other Study ID Numbers

  • 2021-10459-BO-ff

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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