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

Brief Summary

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'.

Primary Outcomes

Secondary Outcomes

• Post-intubation recommendation for an anesthesia alert card(1 hour)
• First pass success rate(1 hour)
• Intubation time(1 hour)
• Best glottic view(1 hour)
• Number of attempts(1 hour)
• Post-intubation recommendation for an intubation method(1 hour)
• Post-intubation diagnosis 'difficult intubation'(1 hour)
• Post-intubation diagnosis 'difficult face-mask-ventilation'(1 hour)
• Classification of intubation difficulty (VIDIAC classification)(1 hour)
• Overall success rate of the first choice technique(1 hour)
• Lowest oxygen saturation(1 hour)
• Overall intubation difficulty, ease of intubation, quality of visualization(1 hour)
• Airway-related adverse events(1 hour)
• Patient discomfort, satisfaction, symptoms(12 hours)
• Clinical evaluation of a core dataset 'anesthesia alert card'(10 months)
• Quality of care of the current clinical standard and the effects of algorithm implementation(7 months)