Clinica Universidad de Navarra
Madrid, 28027, Spain
Location status: Recruiting
NCT Number: NCT06925009
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.
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Request Info18 year–90 year
All sexes
Observational
Madrid, 28027, Spain
Location status: Recruiting
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.
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Compare various clinical test with ultrasound parameters to predict difficult videolaryngoscopy intubation.
Time frame: 5 minutes
Time frame: 5 minutes
Time frame: 5 minutes
Time frame: 5 minutes
Time frame: 1minute
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Time frame: 1minute
Clinica Universidad de Navarra, Universidad de Navarra
Other
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