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NCT Number: NCT07355608

Videolaryngoscopic Difficult ıntubation and Glottic View Score: A Multicentre Prospective Study

Background:

Videolaryngoscopy has improved glottic visualization and facilitated tracheal intubation. However, difficulties-including failed intubation-still occur. At present, no prospectively derived classification system exists to assess the difficulty of videolaryngoscopic (VL) intubation across both normal and anticipated difficult airways. Additionally, current glottic view grading systems, designed for direct laryngoscopy, may not adequately capture the specific challenges of VL intubation.

Objectives:

This study aims to:

1. Develop a predictive model for difficult VL intubation in surgical patients with both normal and anticipated difficult airways. 2. Create a glottic view scoring system specifically tailored to videolaryngoscopy. 3. Compare the predictive accuracy of the new scoring system with existing laryngeal view grades in forecasting difficult VL intubation.

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Key information

Conditions

Age range

18 year–100 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Etlik City Hospital, Ankara, Turkey (Türkiye)

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About this study

Background:

Videolaryngoscopy has improved glottic visualization and facilitated tracheal intubation. However, difficulties-including failed intubation-still occur. At present, no prospectively derived classification system exists to assess the difficulty of videolaryngoscopic (VL) intubation across both normal and anticipated difficult airways. Additionally, current glottic view grading systems, designed for direct laryngoscopy, may not adequately capture the specific challenges of VL intubation.

Objectives:

This study aims to:

  • Develop a predictive model for difficult VL intubation in surgical patients with both normal and anticipated difficult airways.
  • Create a glottic view scoring system specifically tailored to videolaryngoscopy.
  • Compare the predictive accuracy of the new scoring system with existing laryngeal view grades in forecasting difficult VL intubation.

Methods:

A prospective cohort of 4,977 patients will be enrolled. Patient and intubation related variables-including VL findings, airway features, clinical parameters, device, and procedural details-will be analyzed. Binary logistic regression will be employed to build the initial predictive model. In parallel, machine learning techniques (Random Forest, Support Vector Machine, XGBoost, LightGBM, etc.) will be applied to evaluate predictive performance. Comparative analysis will be conducted between the machine learning models and the logistic regression baseline.

Expected Impact:

The development of a robust predictive tool and an associated VL-specific glottic view score could enhance clinical decision making, particularly in identifying patients at risk of difficult or failed VL intubation. This may support early consideration of awake tracheal intubation, and use of standardized terminology and reduce complications associated with difficult airway management

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Adults
  • Both with normal or predicted difficult airways
  • Undergoing orotracheal intubation with a videolarygoscope

Exclusion criteria

  • Rapid sequence intubation
  • Double lumen tube intubation

Treatment and study plan

Primary outcomes

  1. Failed first intubation attempt

    Time frame: 2 minutes after anesthesia induction

    Failed to intubate at firtst attempt

  2. Difficult intubation

    Time frame: 2 minutes after anesthesia induction

    Failed to intubate at 1-2 attempts and/or intubation duration longer than 120 second

  3. Failed intubation

    Time frame: 2 minutes after anesthesia induction

    Not able to intubate the patient

  4. Intubation duration

    Time frame: 2 minutes after anesthesia induction

    Time elapsed from entring the blade between the teeth to detecting an entidal carbondioxide trace

  5. Glottic view description

    Time frame: 2 minutes after anesthesia induction

    Vocal cords are fully visible Vocal cords are partially separately Vocal cords are not visible Cords are adducted Epiglottis is visible Epiglottis is large Epiglottis is small Epiglottis is edematous Epiglottis mass is present Arytenoids are visible Arytenoid luxation or subluxation Arytenoid edema Valecula problem (edema, Coffee grounds, etc., unable to insert a blade) Aryepiglottic plica pathology (edema, Coffee grounds scar) Laryngeal structures should be formed Glottic stenosis Laryngospasm

Secondary outcomes

  1. Percentil of glottic opening score

    Time frame: 2 minutes after anesthesia induction

    the percentage of glottic opening seen, defined by the linear span from the anterior commissure to the inter-arytenoid notch

  2. Cormack lehanne score

    Time frame: 2 minutes after anesthesia induction

    grade 1 being a full view of the glottis, grade 2 being a partial view, grade 3 being only a view of the epiglottis, and grade 4 being an absent view of the glottis and epiglottis

Study contacts

Contact information is provided by the study sponsor or research team.

Dilek Yazıcıoğlu Ünal, Professor

CONTACT

[email protected]

+90 5336957855

Emel Gündüz, assoc.

CONTACT

[email protected],

+905444341719

Sponsors and collaborators

Lead sponsor

Diskapi Teaching and Research Hospital

Other

Registry information

Official study title

Prediction of Difficult Videolaryngoscopic Intubation and Development of a Dedicated Glottic View Score: A Multicentre Prospective Study

Acronym: VIDIGLOV

Important dates

Study start
2026
Primary completion
2027
Study completion
2027
First posted
Jan 21, 2026
Registry last updated
Feb 5, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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