Development of a scoring system for predicting difficult intubation using ultrasonography

Background and Aims: Ultrasound measurement of anterior neck soft tissue thickness by skin to epiglottis distance (SED) has been shown to predict difficult laryngoscopy. In this study, we developed an airway scoring system incorporating SED into three clinical predictors and assessed whether it woul...

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Main Authors: Harith Daggupati, Indubala Maurya, Roshan D Singh, M Ravishankar
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Indian Journal of Anaesthesia
Subjects:
Online Access:http://www.ijaweb.org/article.asp?issn=0019-5049;year=2020;volume=64;issue=3;spage=187;epage=192;aulast=Daggupati
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author Harith Daggupati
Indubala Maurya
Roshan D Singh
M Ravishankar
author_facet Harith Daggupati
Indubala Maurya
Roshan D Singh
M Ravishankar
author_sort Harith Daggupati
collection DOAJ
description Background and Aims: Ultrasound measurement of anterior neck soft tissue thickness by skin to epiglottis distance (SED) has been shown to predict difficult laryngoscopy. In this study, we developed an airway scoring system incorporating SED into three clinical predictors and assessed whether it would improve accuracy in prediction of difficult intubation. Methods: Mentohyoid distance, mandibular subluxation, head extension and ultrasound measurement of skin to epiglottis distance were measured a day before surgery in 310 adult patients. During direct laryngoscopy, Cormack–Lehane grading was noted (Grade 1 and 2 = Easy, Grade 3 and 4 = Difficult). We constructed a score named MSH, which included mentohyoid distance, mandibular subluxation and head extension. Then, SED was added to the MSH score to form another new score named USED-MSH. Student's t-test, Mann-Whitney U test and Chi-square test or Fisher exact tests were used. Both scoring systems were compared under the receiver-operating characteristic curve and area under the curve (AUC) were calculated. Results: Difficult intubation was observed in 62/310 patients (20%). The AUC for USED-MSH score was greater than the MSH score (0.93, 95% CI [0.89–0.97] vs 0.76, 95% CI [0.69–0.84], P value <0.001). USED-MSH score had higher sensitivity (93.6% vs 59.7%) and lower specificity (85.9% vs 91.1%) with similar positive predictive value (62.7% vs 62.4%) in comparison with MSH score. Conclusion: An airway scoring system using the ultrasound measurements of skin-to-epiglottis distance along with the clinical predictors would be helpful in the prediction of difficult intubation.
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spelling doaj.art-3e163817a417439ea9aa24fce5e241bb2022-12-21T19:14:53ZengWolters Kluwer Medknow PublicationsIndian Journal of Anaesthesia0019-50490976-28172020-01-0164318719210.4103/ija.IJA_702_19Development of a scoring system for predicting difficult intubation using ultrasonographyHarith DaggupatiIndubala MauryaRoshan D SinghM RavishankarBackground and Aims: Ultrasound measurement of anterior neck soft tissue thickness by skin to epiglottis distance (SED) has been shown to predict difficult laryngoscopy. In this study, we developed an airway scoring system incorporating SED into three clinical predictors and assessed whether it would improve accuracy in prediction of difficult intubation. Methods: Mentohyoid distance, mandibular subluxation, head extension and ultrasound measurement of skin to epiglottis distance were measured a day before surgery in 310 adult patients. During direct laryngoscopy, Cormack–Lehane grading was noted (Grade 1 and 2 = Easy, Grade 3 and 4 = Difficult). We constructed a score named MSH, which included mentohyoid distance, mandibular subluxation and head extension. Then, SED was added to the MSH score to form another new score named USED-MSH. Student's t-test, Mann-Whitney U test and Chi-square test or Fisher exact tests were used. Both scoring systems were compared under the receiver-operating characteristic curve and area under the curve (AUC) were calculated. Results: Difficult intubation was observed in 62/310 patients (20%). The AUC for USED-MSH score was greater than the MSH score (0.93, 95% CI [0.89–0.97] vs 0.76, 95% CI [0.69–0.84], P value <0.001). USED-MSH score had higher sensitivity (93.6% vs 59.7%) and lower specificity (85.9% vs 91.1%) with similar positive predictive value (62.7% vs 62.4%) in comparison with MSH score. Conclusion: An airway scoring system using the ultrasound measurements of skin-to-epiglottis distance along with the clinical predictors would be helpful in the prediction of difficult intubation.http://www.ijaweb.org/article.asp?issn=0019-5049;year=2020;volume=64;issue=3;spage=187;epage=192;aulast=Daggupatiairway ultrasounddifficult intubationskin-to-epiglottis distance
spellingShingle Harith Daggupati
Indubala Maurya
Roshan D Singh
M Ravishankar
Development of a scoring system for predicting difficult intubation using ultrasonography
Indian Journal of Anaesthesia
airway ultrasound
difficult intubation
skin-to-epiglottis distance
title Development of a scoring system for predicting difficult intubation using ultrasonography
title_full Development of a scoring system for predicting difficult intubation using ultrasonography
title_fullStr Development of a scoring system for predicting difficult intubation using ultrasonography
title_full_unstemmed Development of a scoring system for predicting difficult intubation using ultrasonography
title_short Development of a scoring system for predicting difficult intubation using ultrasonography
title_sort development of a scoring system for predicting difficult intubation using ultrasonography
topic airway ultrasound
difficult intubation
skin-to-epiglottis distance
url http://www.ijaweb.org/article.asp?issn=0019-5049;year=2020;volume=64;issue=3;spage=187;epage=192;aulast=Daggupati
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AT indubalamaurya developmentofascoringsystemforpredictingdifficultintubationusingultrasonography
AT roshandsingh developmentofascoringsystemforpredictingdifficultintubationusingultrasonography
AT mravishankar developmentofascoringsystemforpredictingdifficultintubationusingultrasonography