Comparative Study
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Comparing Emergency Department First-Attempt Intubation Success With Standard-Geometry and Hyperangulated Video Laryngoscopes.

STUDY OBJECTIVE: It is unclear whether laryngoscopy using a standard-geometry blade shape, able to obtain both direct and indirect views, is associated with different first-attempt success or adverse events during emergency intubation compared with using a hyperangulated blade capable of indirect laryngoscopy only. We sought to compare first-attempt intubation success between patients intubated with a standard geometry video laryngoscope versus a hyperangulated video laryngoscope.

METHODS: We analyzed data from the National Emergency Airway Registry from January 2016 to December 2018. Patients aged 14 years or older were included if the first attempt at oral intubation was performed with a standard-geometry or hyperangulated video laryngoscope. We used multiple logistic regression to determine whether blade shape was independently associated with first-attempt intubation success.

RESULTS: During the study period, 11,927 of 19,071 intubation encounters met inclusion criteria, including 7,255 (61%) with a standard blade and 4,672 (39%) with a hyperangulated blade. Unadjusted analysis revealed higher success with a standard-geometry blade, 91.9% versus 89.2% (absolute difference 2.7% [95% confidence interval 1.6% to 3.8%]; odds ratio for standard-geometry laryngoscope compared with hyperangulated laryngoscope 1.37 [95% confidence interval 1.21 to 1.55]). The logistic regression model, however, demonstrated no association between blade shape and first-attempt success (adjusted odds ratio for standard-geometry laryngoscopy compared with hyperangulated laryngoscopy 1.32 [95% confidence interval 0.81 to 2.17]).

CONCLUSION: In this large registry of patients intubated with video laryngoscopy in the emergency department, we observed no association between blade shape (standard-geometry versus hyperangulated laryngoscope) and first-attempt intubation success after adjusting for confounding variables.

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