Airway management

A novel comprehensive model of indicators reflecting the relative spatial position of the anterior cervical structures for predicting difficult laryngoscopy in patients with cervical spondylosis

J Clin AnesthPublished Prospective observational study

Authors' conclusion

The spatial relationship between cervical airway structures and the XU-line may serve as a novel predictive index in a comprehensive DA assessment model.

Study context

Population
Patients scheduled for elective cervical spondylosis surgery, Peking University Third Hospital
Exposure
Easy vs difficult laryngoscopy (Cormack-Lehane (C-L) grades); combined 5-factor model vs individual predictors or traditional clinical models
Outcome
Difficult laryngoscopy (C-L grade); multiparameter predictive model using ultrasound XU-line
Methodological detailssingle-blinded, single-centre
  • Single-blinded
  • Single-centre

Main finding

As reported in the abstract

Predictive performance of combined model (sex, modified Mallampati, skin-to-epiglottis distance [neutral], XU-line-to-vocal-cords distance [sniffing], XU-line to cricoid cartilage)

Sensitivity

82.0 %

Specificity

61 %

Observational data: associations, not effects.

Further findings

Independent risk factors for difficult laryngoscopy (multivariate logistic regression)

Significant differences in clinical factors between the two groups
13
Sex, modified Mallampati test, skin-to-epiglottis distance (neutral), XU-line-to-vocal-cords distance (sniffing), XU-line-to-cricoid cartilage distances independent risk factors

Original publication

A novel comprehensive model of indicators reflecting the relative spatial position of the anterior cervical structures for predicting difficult laryngoscopy in patients with cervical spondylosis. J Clin Anesth. Published 14 August 2025. doi:10.1016/j.jclinane.2025.111966

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.