PrediSuisse: Automatized Assessment of Difficult Airway

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-100
SponsorCentre Hospitalier Universitaire Vaudois

About this trial

In the "PrediSuisse" research project, the investigators aim to create a reliable, reproducible, ultra-portable and radiation-free automatized software, able to identify automatically collected features, facial characteristics, and range of movements, to predict intubation difficulty. The software will generate a difficulty intubation score tailored to three commercially available videolaryngoscopes with different type of blades, corresponding to the predicted endotracheal intubation difficulty while providing the anaesthesiologist a reliable and non-subjective tool to assess individual patient's risks with regards to airway management.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Adult patients (≥ 18 years old) presenting at the pre-anesthesia consult for an elective general anesthesia necessitating a tracheal intubation

Signed informed consent.

Disqualifiers

Patients not speaking French (in Geneva and Lausanne) or Italian (in Lugano).

Patients previously operated on the airway with anatomical modifications (ENT Flaps, tracheotomies).

Patients unable to follow procedures or to give consent will also be excluded.

Trial population

Adult patients (≥ 18 years old) presenting at the pre-anesthesia consult for an elective general anesthesia necessitating a tracheal intubation at the University Hospital of Lausanne, Geneva and Cardiocentro Lugano

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

  • intubation

    Other intervention

    Tracheal intubation using one of the three existing videolaryngoscopes

Treatment groups

1,800 Participants
are divided into 3 treatment groups
Group A: C-mac1 intervention
Group B: MacGrath1 intervention
Group C: Airtraq1 intervention

Trial outcomes

Primary outcomes

1

Software creation

The primary outcome is to create a reliable, reproducible, ultra-portable and radiation-free automated software, capable of identifying automatically collected features such as facial characteristics, mouth opening, range of motion while moving the neck and thyromental distance to predict intubation difficulty. The identification of the difficult intubation score will be compared by the one goven independantly by three airway experts.

Time frame
18 months

Secondary outcomes

1

Team Communication

The secondary outcome is to evaluate the impact of streaming images of the intubations acquired by the videolaryngoscopy directly to the screens located in the operating room (OR) on communication between healthcare professionals in the OR with the help of a dedicated questionnaire.

Time frame
18 months

Other outcomes

Sponsors and contacts

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