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A Decision Tree Approach to Airway Management Pathways in the 2022 Difficult Airway Algorithm of the American Society of Anesthesiologists
The American Society of Anesthesiologists’ (ASA) Task Force on Management of the Difficult Airway has developed a decision tree tool that uses inductive assessments to guide the anesthesiologist’s choice of pathway in the ASA’s Difficult Airway Algorithm. The tool prompts the anesthesiologist to con...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Lippincott Williams & Wilkin
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986631/ https://www.ncbi.nlm.nih.gov/pubmed/35171880 http://dx.doi.org/10.1213/ANE.0000000000005930 |
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author | Rosenblatt, William H. Yanez, N. David |
author_facet | Rosenblatt, William H. Yanez, N. David |
author_sort | Rosenblatt, William H. |
collection | PubMed |
description | The American Society of Anesthesiologists’ (ASA) Task Force on Management of the Difficult Airway has developed a decision tree tool that uses inductive assessments to guide the anesthesiologist’s choice of pathway in the ASA’s Difficult Airway Algorithm. The tool prompts the anesthesiologist to consider the risk of difficulty with laryngoscopy (direct or indirect) and tracheal intubation, facemask or supraglottic ventilation, gastric contents aspiration, and rapid oxyhemoglobin desaturation. For every airway management event, the approach integrates the anesthesiologist’s unique combination of experience, expertise, patient anatomy and disease, equipment availability, and other contextual conditions into the decision process. Entry into the awake intubation pathway is encouraged when the patient is judged at risk of difficult tracheal intubation and one or more of the following: difficult ventilation, significant aspiration risk, and/or rapid oxyhemoglobin desaturation. The decision tree tool is anticipated to improve communication between anesthesiologists and others by clearly identifying those factors of concern and how decision-making is affected by those concerns. |
format | Online Article Text |
id | pubmed-8986631 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkin |
record_format | MEDLINE/PubMed |
spelling | pubmed-89866312022-04-13 A Decision Tree Approach to Airway Management Pathways in the 2022 Difficult Airway Algorithm of the American Society of Anesthesiologists Rosenblatt, William H. Yanez, N. David Anesth Analg Featured Articles The American Society of Anesthesiologists’ (ASA) Task Force on Management of the Difficult Airway has developed a decision tree tool that uses inductive assessments to guide the anesthesiologist’s choice of pathway in the ASA’s Difficult Airway Algorithm. The tool prompts the anesthesiologist to consider the risk of difficulty with laryngoscopy (direct or indirect) and tracheal intubation, facemask or supraglottic ventilation, gastric contents aspiration, and rapid oxyhemoglobin desaturation. For every airway management event, the approach integrates the anesthesiologist’s unique combination of experience, expertise, patient anatomy and disease, equipment availability, and other contextual conditions into the decision process. Entry into the awake intubation pathway is encouraged when the patient is judged at risk of difficult tracheal intubation and one or more of the following: difficult ventilation, significant aspiration risk, and/or rapid oxyhemoglobin desaturation. The decision tree tool is anticipated to improve communication between anesthesiologists and others by clearly identifying those factors of concern and how decision-making is affected by those concerns. Lippincott Williams & Wilkin 2022-02-16 2022-05 /pmc/articles/PMC8986631/ /pubmed/35171880 http://dx.doi.org/10.1213/ANE.0000000000005930 Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the International Anesthesia Research Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Featured Articles Rosenblatt, William H. Yanez, N. David A Decision Tree Approach to Airway Management Pathways in the 2022 Difficult Airway Algorithm of the American Society of Anesthesiologists |
title | A Decision Tree Approach to Airway Management Pathways in the 2022 Difficult Airway Algorithm of the American Society of Anesthesiologists |
title_full | A Decision Tree Approach to Airway Management Pathways in the 2022 Difficult Airway Algorithm of the American Society of Anesthesiologists |
title_fullStr | A Decision Tree Approach to Airway Management Pathways in the 2022 Difficult Airway Algorithm of the American Society of Anesthesiologists |
title_full_unstemmed | A Decision Tree Approach to Airway Management Pathways in the 2022 Difficult Airway Algorithm of the American Society of Anesthesiologists |
title_short | A Decision Tree Approach to Airway Management Pathways in the 2022 Difficult Airway Algorithm of the American Society of Anesthesiologists |
title_sort | decision tree approach to airway management pathways in the 2022 difficult airway algorithm of the american society of anesthesiologists |
topic | Featured Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986631/ https://www.ncbi.nlm.nih.gov/pubmed/35171880 http://dx.doi.org/10.1213/ANE.0000000000005930 |
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