Development and validation of a nomogram for difficult laryngoscopy at visual laryngoscopy: a prospective nested...

Area of Science:

• Anesthesiology
• Medical Imaging
• Predictive Analytics

Background:

• Difficult laryngoscopy is a major cause of unexpected airway complications, increasing patient morbidity and mortality.
• Airway ultrasound shows promise as a diagnostic tool for predicting difficult airways.
• Current screening methods for difficult laryngoscopy have limitations.

Purpose of the Study:

• To develop and validate a comprehensive prediction model for difficult laryngoscopy.
• To integrate bedside examination findings with airway ultrasonography measurements.
• To enhance the accuracy and reliability of difficult laryngoscopy risk assessment.

Main Methods:

• A multivariate statistical analysis was performed on data from 456 patients.
• Bedside examination tests (inter-incisor gap, thyromental distance) and airway ultrasonography were used.
• A prediction model was constructed using baseline characteristics, bedside tests, and ultrasound measurements.

Main Results:

• A 4-variable model incorporating inter-incisor gap, thyromental distance, skin-to-tongue root distance, and airway diseases was developed.
• The prediction model achieved high accuracy with an Area Under Curve (AUC) of 0.933 in the training set and 0.956 in the validation set.
• The model demonstrated superior predictive performance compared to individual screening methods.

Conclusions:

• A comprehensive model, particularly including tongue root thickness, accurately predicts difficult laryngoscopy risk.
• This model offers a more reliable screening method than existing approaches.
• The findings support individualized treatment planning for patients with predicted difficult airways.