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Difficult airway management algorithms: a directed review.

D A Edelman1, E J Perkins1, D J Brewster1,2

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This study reviewed 38 difficult airway management algorithms, finding them largely similar but using varied terms. Limited data exists on their real-world implementation and adherence.

Keywords:
airway managementairway researchdifficult airway algorithmguidelineshuman factors

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Area of Science:

  • Anesthesiology
  • Critical Care Medicine
  • Emergency Medicine

Background:

  • Difficult airway management is a critical concern in medical practice.
  • Existing algorithms aim to standardize and improve patient outcomes during airway emergencies.
  • A comprehensive understanding of current algorithms and their implementation is lacking.

Purpose of the Study:

  • To identify, describe, and compare the content of published difficult airway management algorithms.
  • To review the literature on the implementation and outcomes of these algorithms.
  • To assess the current landscape of difficult airway management strategies.

Main Methods:

  • A directed literature search was conducted across MEDLINE, Embase, and Scopus databases.
  • Articles were screened for relevance to airway management algorithms and their implementation.
  • Pre-determined exclusion criteria were applied to ensure study focus.

Main Results:

  • Thirty-eight distinct difficult airway management algorithms were identified.
  • Most algorithms follow a similar four-step process, progressing from basic to advanced interventions.
  • Despite similarities, terminology varies significantly, and implementation data remains scarce.
  • The publication of algorithms has increased, but universal endorsement is absent.

Conclusions:

  • Current difficult airway management algorithms share core similarities but lack standardized terminology.
  • There is a need for further research into the adherence and effectiveness of these algorithms in clinical practice.
  • No single algorithm is universally recognized or applicable to all difficult airway scenarios.