Difficult Videolaryngoscopy
Conditions
Keywords
Ultrasound;Difficult Videolaryngoscopy; Machine Learning
Brief summary
This unicentric observational study collects clinical characteristics, demographic data, and point-of-care airway ultrasound measurements in patients undergoing videolaryngoscopy. These variables are analysed using machine-learning techniques to examine their association with predefined videolaryngoscopy-related outcomes, including blade performance and adjunct requirement.
Detailed description
Tracheal intubation is a routine procedure in anaesthesia and critical care; however, difficulties during videolaryngoscopy may still occur despite advances in airway devices. Conventional bedside airway assessments provide limited guidance for videolaryngoscopy-specific decisions, such as blade selection or anticipation of adjunct use. This unicentric observational study collects clinical characteristics, demographic data, and point-of-care airway ultrasound measurements in patients undergoing videolaryngoscopy. These variables are analysed using machine-learning techniques to examine their association with predefined videolaryngoscopy-related outcomes, including blade performance and adjunct requirement. The primary objective is to develop and internally evaluate a predictive model integrating multimodal data to support videolaryngoscopy strategy planning. The model is intended solely as a research and decision-support tool and does not replace clinician judgement. External validation in independent cohorts is planned.
Interventions
DIAGNOSTIC_TESTUltrasound mesurements
Compare various clinical test with ultrasound parameters to predict difficult videolaryngoscopy intubation.
Sponsors
Clinica Universidad de Navarra, Universidad de Navarra
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 90 Years
Inclusion criteria
* Patients (male or female) ASA I-III, aged between 18 and 90 years, undergoing scheduled surgery requiring orotracheal intubation. The signature of the informed consent is required authorizing its inclusion in the study.
Exclusion criteria
* Obesity class II defined as a BMI greater than 35. * Pregnant. * Cervical tumors, goiter or patients who have required radiotherapy at the cervical level * Abnormalities that condition anatomy alterations such as facial / cervical fractures. * Maxillofacial abnormalities * People who cannot give their consent
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Distance from skin to Hyoid bone measured with lineal ultrasound probe | 5 minutes |
| Distance from skin to epiglottis measured with lineal ultrasound probe | 5 minutes |
| Tongue Thickness measured with convex probe | 5 minutes |
| Distance from Jaw to Hyoid bone distance measured with convex probe | 5 minutes |
Secondary
| Measure | Time frame |
|---|---|
| Upper Lip Bite Test upper lip bite criteria-class I = lower incisors can bite the upper lip above the vermilion line, class II = lower incisors can bite the upper lip below the vermilion line, and class III = lower incisors cannot bite the upper lip | 1minute |
| Modified Mallampati Score Class I: Soft palate, uvula, fauces, pillars visible. Class II: Soft palate, major part of uvula, fauces visible. Class III: Soft palate, base of uvula visible. Class IV: Only hard palate visible. | 1minute |
| neck circumference Using a flexible measuring tape in centimeters, neck circumference at the level of thethyroid cartilage will be measured | 1minute |
| Thyromental distance measured from the thyroid notch to the tip of the jaw with the head extended | 1minute |
| Sternomental distance the distance from the suprasternal notch to the mentum and is measured with the head fully extended on the neck and the mouth closed | 1minute |
| Interincisor distance DIstance in centimeters between fornt incisors | 1minute |
Countries
Spain
Outcome results
None listed