Airway management

Diagnostic Performance of Airway Ultrasound for the Assessment of Difficult Laryngoscopy: A Systematic Review and Meta-Analysis

J Cardiothorac Vasc AnesthPublished Systematic review and meta-analysis of diagnostic accuracy studies

Authors' conclusion

With the currently available evidence, the 3 commonly used point-of-care ultrasound measures used to identify difficult laryngoscopy, (SED, HMDR, and pre-E/E-VC), showed better sensitivity and similar specificity to clinical measures.

Study context

Population
Adults >18 years under GA for elective procedures; obstetric populations and evident anatomic airway abnormalities excluded24 studies
Comparison
Airway ultrasound measures for predicting difficult laryngoscopy
Outcome
Diagnostic performance of airway ultrasound for predicting difficult laryngoscopy
Methodological detailsobservational studies, Cochrane collaboration guidelines, Searches of PubMed (Medline), Embase, Clinical Trials and Google Scholar; last 20 years; English or Spanish
  • Observational studies
  • Cochrane collaboration guidelines
  • Searches of PubMed (Medline), Embase, Clinical Trials and Google Scholar; last 20 years; English or Spanish

Pooled result

As reported in the abstract

Prediction of difficult laryngoscopy
GroupSensitivitySpecificityDiagnostic odds ratio
Skin-to-epiglottis distance (SED)75%86%
HMDR61%88%
pre-E/E-VC82%83%22.2

Sensitivity

Skin-to-epiglottis distance (SED)75%
HMDR61%
pre-E/E-VC82%

Specificity

Skin-to-epiglottis distance (SED)86%
HMDR88%
pre-E/E-VC83%

Diagnostic odds ratio

Skin-to-epiglottis distance (SED)— not stated in the abstract
HMDR— not stated in the abstract
pre-E/E-VC22.2

Further pooled results

Diagnostic performance and number of ultrasound parameters across studies

Variable across studies

Original publication

Diagnostic Performance of Airway Ultrasound for the Assessment of Difficult Laryngoscopy: A Systematic Review and Meta-Analysis. J Cardiothorac Vasc Anesth. Published 2 March 2023. doi:10.1053/j.jvca.2023.02.036

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.