How to predict difficult tracheal intubation: The application of acromio-axillo-suprasternal notch index

Background: The incidence of difficult laryngoscopy or tracheal intubation is high, which needs a method to predict the difficulty of tracheal intubation to decrease the rate of complications. Therefore, the aim of this study was to evaluate acromio-axillo-suprasternal notch index (AASI) method for...

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Main Authors: Mohammad Nasr-Esfahani, Azim Honarmand, Seyed Mohammadreza Safavi, Motahareh Anvari Tafti
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Advanced Biomedical Research
Subjects:
Online Access:http://www.advbiores.net/article.asp?issn=2277-9175;year=2020;volume=9;issue=1;spage=19;epage=19;aulast=Nasr-Esfahani
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spelling doaj-7e97aabe977849b58ab67fc43cb758202020-11-25T03:16:24ZengWolters Kluwer Medknow PublicationsAdvanced Biomedical Research2277-91752020-01-0191191910.4103/abr.abr_228_19How to predict difficult tracheal intubation: The application of acromio-axillo-suprasternal notch indexMohammad Nasr-EsfahaniAzim HonarmandSeyed Mohammadreza SafaviMotahareh Anvari TaftiBackground: The incidence of difficult laryngoscopy or tracheal intubation is high, which needs a method to predict the difficulty of tracheal intubation to decrease the rate of complications. Therefore, the aim of this study was to evaluate acromio-axillo-suprasternal notch index (AASI) method for predicting difficult tracheal intubation and difficult laryngoscopy. Materials and Methods: This cross-sectional and diagnostic value study was performed on 108 patients who had indication for endotracheal intubation in the emergency department. Before endotracheal intubation, AASI was evaluated in all patients. The sensitivity, specificity, and total accuracy for predicting the power of AASI for the difficulty of tracheal intubation were measured. Results: Based on Cormack and Lehane grading system, 54 patients had easy endotracheal intubation (33.3% Grade I and 66.6% Grade II) and 52 patients had difficult endotracheal intubation (57.7% Grade III and 32.7% Grade IV). The sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy for AASI in cutoff point 0.515 for predicting difficulty of endotracheal intubation with 0.857 area under the receiver operating characteristic curve were 84.6%, 77.7%, 78.5%, 84%, and 81.13%, respectively. Conclusions: Our results showed that predicting difficulty of endotracheal intubation by AASI is accurate and with high sensitivity and specificity values, therefore, training this method to emergency physicians should be considered in our country or other countries. Further studies are required to confirm our findings.http://www.advbiores.net/article.asp?issn=2277-9175;year=2020;volume=9;issue=1;spage=19;epage=19;aulast=Nasr-Esfahaniacromio-axillo-suprasternal notch indexlaryngoscopytracheal intubation
collection DOAJ
language English
format Article
sources DOAJ
author Mohammad Nasr-Esfahani
Azim Honarmand
Seyed Mohammadreza Safavi
Motahareh Anvari Tafti
spellingShingle Mohammad Nasr-Esfahani
Azim Honarmand
Seyed Mohammadreza Safavi
Motahareh Anvari Tafti
How to predict difficult tracheal intubation: The application of acromio-axillo-suprasternal notch index
Advanced Biomedical Research
acromio-axillo-suprasternal notch index
laryngoscopy
tracheal intubation
author_facet Mohammad Nasr-Esfahani
Azim Honarmand
Seyed Mohammadreza Safavi
Motahareh Anvari Tafti
author_sort Mohammad Nasr-Esfahani
title How to predict difficult tracheal intubation: The application of acromio-axillo-suprasternal notch index
title_short How to predict difficult tracheal intubation: The application of acromio-axillo-suprasternal notch index
title_full How to predict difficult tracheal intubation: The application of acromio-axillo-suprasternal notch index
title_fullStr How to predict difficult tracheal intubation: The application of acromio-axillo-suprasternal notch index
title_full_unstemmed How to predict difficult tracheal intubation: The application of acromio-axillo-suprasternal notch index
title_sort how to predict difficult tracheal intubation: the application of acromio-axillo-suprasternal notch index
publisher Wolters Kluwer Medknow Publications
series Advanced Biomedical Research
issn 2277-9175
publishDate 2020-01-01
description Background: The incidence of difficult laryngoscopy or tracheal intubation is high, which needs a method to predict the difficulty of tracheal intubation to decrease the rate of complications. Therefore, the aim of this study was to evaluate acromio-axillo-suprasternal notch index (AASI) method for predicting difficult tracheal intubation and difficult laryngoscopy. Materials and Methods: This cross-sectional and diagnostic value study was performed on 108 patients who had indication for endotracheal intubation in the emergency department. Before endotracheal intubation, AASI was evaluated in all patients. The sensitivity, specificity, and total accuracy for predicting the power of AASI for the difficulty of tracheal intubation were measured. Results: Based on Cormack and Lehane grading system, 54 patients had easy endotracheal intubation (33.3% Grade I and 66.6% Grade II) and 52 patients had difficult endotracheal intubation (57.7% Grade III and 32.7% Grade IV). The sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy for AASI in cutoff point 0.515 for predicting difficulty of endotracheal intubation with 0.857 area under the receiver operating characteristic curve were 84.6%, 77.7%, 78.5%, 84%, and 81.13%, respectively. Conclusions: Our results showed that predicting difficulty of endotracheal intubation by AASI is accurate and with high sensitivity and specificity values, therefore, training this method to emergency physicians should be considered in our country or other countries. Further studies are required to confirm our findings.
topic acromio-axillo-suprasternal notch index
laryngoscopy
tracheal intubation
url http://www.advbiores.net/article.asp?issn=2277-9175;year=2020;volume=9;issue=1;spage=19;epage=19;aulast=Nasr-Esfahani
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