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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179788/ https://www.ncbi.nlm.nih.gov/pubmed/32346164 http://dx.doi.org/10.4103/ija.IJA_702_19 |
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author | Daggupati, Harith Maurya, Indubala Singh, Roshan D Ravishankar, M |
author_facet | Daggupati, Harith Maurya, Indubala Singh, Roshan D Ravishankar, M |
author_sort | Daggupati, Harith |
collection | PubMed |
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 U(SED)-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 U(SED)-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). U(SED)-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. |
format | Online Article Text |
id | pubmed-7179788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-71797882020-04-28 Development of a scoring system for predicting difficult intubation using ultrasonography Daggupati, Harith Maurya, Indubala Singh, Roshan D Ravishankar, M Indian J Anaesth Original Article 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 U(SED)-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 U(SED)-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). U(SED)-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. Wolters Kluwer - Medknow 2020-03 2020-03-11 /pmc/articles/PMC7179788/ /pubmed/32346164 http://dx.doi.org/10.4103/ija.IJA_702_19 Text en Copyright: © 2020 Indian Journal of Anaesthesia http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Daggupati, Harith Maurya, Indubala Singh, Roshan D Ravishankar, M Development of a scoring system for predicting difficult intubation using ultrasonography |
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 | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179788/ https://www.ncbi.nlm.nih.gov/pubmed/32346164 http://dx.doi.org/10.4103/ija.IJA_702_19 |
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