Literature DB >> 20440663

Incomplete adherence to the ASA difficult airway algorithm is unchanged after a high-fidelity simulation session.

Bruno C R Borges1, Sylvain Boet, Lyndon W Siu, Heinz R Bruppacher, Viren N Naik, Nicole Riem, Hwan S Joo.   

Abstract

PURPOSE: Although guidelines for difficult airway management have been published, the extent to which consultant anesthesiologists follow these guidelines has not been determined. The purpose of this study is to observe how consultant anesthesiologists manage a "cannot intubate, cannot ventilate" (CICV) scenario in a high-fidelity simulator and to evaluate whether a simulation teaching session improves their adherence to the American Society of Anesthesiologists (ASA) difficult airway algorithm.
METHODS: With Ethics Board approval and informed consent, all staff anesthesiologists in a single tertiary care institution were invited to enrol in this study where they managed a simulated unanticipated CICV scenario in a high-fidelity simulator. The scenario involved a patient with a difficult airway whose trachea could not be intubated and where it was impossible to ventilate the patient's lungs. Airway management options, including laryngeal mask airway, a fibreoptic bronchoscope, and a Glidescope were available for use but scripted to fail. A percutaneous cricothyroidotomy was required to re-establish adequate ventilation. Following the scenario, there was a personalized one-hour video-assisted expert debriefing focusing on the ASA difficult airway guidelines and "hands-on" cricothyroidotomy teaching. The second scenario followed immediately with an identical CICV scenario. The content to either scenario was not revealed beforehand. Outcome measures included: 1) major deviations from the ASA difficult airway guidelines; 2) time to start cricothyroidotomy; and 3) time to achieve ventilation.
RESULTS: Thirty-eight anesthesiologists agreed to participate. The number of major deviations from the ASA algorithm was similar in the first and second sessions. These deviations included: multiple laryngoscopies (0 vs 2 pre-post; P = 0.49), use of fibreoptic bronchoscope (8 vs 7 pre-post; P = 1.0), bypass of laryngeal mask airway attempt (7 vs 13 pre-post; P = 0.19), and failure to call for anesthetic help (12 vs 8 pre-post; P = 0.43). However, more participants failed to call for surgical help in the second session (7 vs 16; P = 0.04). The times to start cricothyroidotomy and the times to achieve ventilation were significantly shorter in the second session (205.5 +/- 61.3 sec vs 179.7 +/- 65.1 sec; P = 0.01 and 356.9 +/- 117.2 sec vs 269.4 +/- 77.43 sec; P = 0.0002, respectively).
CONCLUSION: No substantial changes in airway management in a CICV scenario were observed after an intense one-hour personalized video-assisted airway-focused simulation debriefing session with an expert. It appears that multiple factors other than airway algorithms come into play in emergency airway decision-making processes, including one's personal clinical experience with the many available airway devices.

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Mesh:

Year:  2010        PMID: 20440663     DOI: 10.1007/s12630-010-9322-4

Source DB:  PubMed          Journal:  Can J Anaesth        ISSN: 0832-610X            Impact factor:   5.063


  12 in total

Review 1.  [Awake fiberoptic intubation].

Authors:  F Gerheuser; K Gürtler
Journal:  Anaesthesist       Date:  2011-12       Impact factor: 1.041

2.  JSA airway management guideline 2014: to improve the safety of induction of anesthesia.

Authors: 
Journal:  J Anesth       Date:  2014-07-03       Impact factor: 2.078

Review 3.  Anaesthetic management of acute airway obstruction.

Authors:  Patrick Wong; Jolin Wong; May Un Sam Mok
Journal:  Singapore Med J       Date:  2016-03       Impact factor: 1.858

4.  Impact of repeated simulation on learning curve characteristics of residents exposed to rare life threatening situations.

Authors:  Sree Kumar E J; Makani Purva; Sarat Chander M; Aruna Parameswari
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2020-11-01

5.  Medical simulation is needed in anesthesia training to achieve patient's safety.

Authors:  Chul-Ho Chang
Journal:  Korean J Anesthesiol       Date:  2013-03-19

Review 6.  Virtual reality in anesthesia "simulation".

Authors:  P M Singh; Manpreet Kaur; Anjan Trikha
Journal:  Anesth Essays Res       Date:  2012 Jul-Dec

7.  Assessing anesthesiology residents' out-of-the-operating-room (OOOR) emergent airway management.

Authors:  Lauryn R Rochlen; Michelle Housey; Ian Gannon; Shannon Mitchell; Deborah M Rooney; Alan R Tait; Milo Engoren
Journal:  BMC Anesthesiol       Date:  2017-07-15       Impact factor: 2.217

8.  All India Difficult Airway Association guidelines in practice-A survey.

Authors:  Suvarna Kaniyil; Priyanka Pavithran; M C Rajesh; A K Arun Krishna; Vijeesh Venugopal; Shoba Jacob Samuel
Journal:  Indian J Anaesth       Date:  2021-06-22

Review 9.  Transfer of learning and patient outcome in simulated crisis resource management: a systematic review.

Authors:  Sylvain Boet; M Dylan Bould; Lillia Fung; Haytham Qosa; Laure Perrier; Walter Tavares; Scott Reeves; Andrea C Tricco
Journal:  Can J Anaesth       Date:  2014-03-25       Impact factor: 5.063

10.  An Assessment of Intubation Skill Training in Novice Anesthesiology Residents of Tehran University of Medical Sciences With the Use of Mannequins.

Authors:  Farhad Etezadi; Atabak Najafi; Pejman Pourfakhr; Reza Shariat Moharari; Mohammad Reza Khajavi; Farsad Imani; Gilda Barzin
Journal:  Anesth Pain Med       Date:  2016-09-19
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