[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100587178":3},{"organization":4,"outcomesModule":7,"designInfo":33,"detailedDescription":35,"studyPopulation":36,"armGroups":37,"interventions":43,"overallOfficials":11,"centralContacts":11,"locations":49,"responsibleParty":70,"collaborators":11,"id":72,"slug":11,"hasResults":73,"nctId":74,"briefTitle":75,"officialTitle":75,"acronym":11,"eligibilityCriteria":76,"healthyVolunteers":73,"sex":77,"minAge":78,"maxAge":79,"enrollmentInfo":80,"targetDuration":11,"studyType":83,"phases":11,"briefSummary":84,"conditions":85,"keywords":87,"overallStatus":52,"whyStopped":11,"lastUpdateSubmitDate":89,"lastUpdatePostDateStruct":90,"startDateStruct":93,"completionDateStruct":95,"leadSponsor":97,"locationsCount":98},{"fullName":5,"class":6},"Clinica Universidad de Navarra, Universidad de Navarra","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":19,"otherOutcomes":11},[9,13,15,17],{"measure":10,"description":11,"timeFrame":12},"Distance from skin to Hyoid bone measured with lineal ultrasound probe",null,"5 minutes",{"measure":14,"description":11,"timeFrame":12},"Distance from skin to epiglottis measured with lineal ultrasound probe",{"measure":16,"description":11,"timeFrame":12},"Tongue Thickness measured with convex probe",{"measure":18,"description":11,"timeFrame":12},"Distance from Jaw to Hyoid bone distance measured with convex probe",[20,23,25,27,29,31],{"measure":21,"description":11,"timeFrame":22},"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",{"measure":24,"description":11,"timeFrame":22},"Thyromental distance measured from the thyroid notch to the tip of the jaw with the head extended",{"measure":26,"description":11,"timeFrame":22},"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",{"measure":28,"description":11,"timeFrame":22},"Interincisor distance DIstance in centimeters between fornt incisors",{"measure":30,"description":11,"timeFrame":22},"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",{"measure":32,"description":11,"timeFrame":22},"neck circumference Using a flexible measuring tape in centimeters, neck circumference at the level of thethyroid cartilage will be measured",{"allocation":11,"interventionModel":11,"interventionModelDescription":11,"primaryPurpose":11,"observationalModel":6,"timePerspective":34,"maskingInfo":11},"PROSPECTIVE","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.\n\nThis 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.\n\nThe 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.","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.",[38],{"label":39,"type":11,"description":40,"interventionNames":41},"Patient undergoing general anesthesia with videolaryngoscopy intubation","Patient undergoing general anesthesia with intubation We will explore clinical airway parameters and external ultrasound parameters of the airway.",[42],"Diagnostic Test: Ultrasound mesurements",[44],{"type":45,"name":46,"description":47,"armGroupLabels":48,"otherNames":11},"DIAGNOSTIC_TEST","Ultrasound mesurements","Compare various clinical test with ultrasound parameters to predict difficult videolaryngoscopy intubation.",[39],[50],{"facility":51,"status":52,"city":53,"state":53,"zip":54,"country":55,"countryCode":56,"cosmosGeoPoint":57,"geoPoint":62,"contacts":63},"Clinica Universidad de Navarra","RECRUITING","Madrid","28027","Spain","ES",{"type":58,"coordinates":59},"Point",[60,61],-3.70256,40.4165,{"lat":61,"lon":60},[64],{"name":65,"role":66,"phone":67,"phoneExt":68,"email":69},"Miguel Angel Fernandez-Vaquero, MD, PhD","CONTACT","+34913531920","7633","mfvaquero@unav.es",{"type":71,"investigatorFullName":11,"investigatorTitle":11,"investigatorAffiliation":11,"oldNameTitle":11,"oldOrganization":11},"SPONSOR","100587178",false,"NCT06925009","Airway Coach Project: Prediction of Videolaryngoscopy Strategy With Clinical and Ultrasound Parameters (Unicentric)","Inclusion Criteria:\n\n* 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.\n\nExclusion Criteria:\n\n* Obesity class II defined as a BMI greater than 35.\n* Pregnant.\n* Cervical tumors, goiter or patients who have required radiotherapy at the cervical level\n* Abnormalities that condition anatomy alterations such as facial \u002F cervical fractures.\n* Maxillofacial abnormalities\n* People who cannot give their consent","ALL","18 Years","90 Years",{"count":81,"type":82},280,"ESTIMATED","OBSERVATIONAL","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.",[86],"Difficult Videolaryngoscopy",[88],"Ultrasound;Difficult Videolaryngoscopy; Machine Learning","2025-12-30",{"date":91,"type":92},"2026-01-02","ACTUAL",{"date":94,"type":92},"2023-01-27",{"date":96,"type":82},"2026-06-01",{"name":5,"class":6},1]