Hitendra Kanzariya Assistant Professor, Department of Anesthesiology, Parul Institute of Medical Sciences and Research, Parul University, Waghodia, Vadodara, Gujarat 391760,, India
Avani Shah Senior Resident, Department of Anesthesiology, Parul Institute of Medical Sciences and Research, Parul University, Waghodia, Vadodara, Gujarat 391760, India, India
Neeta Bose Associate Professor, Department of Anesthesiology, GMERS Medical College, Gotri, Vadodara, Gujarat 390021,, India
Address for correspondence: Hitendra Kanzariya, Assistant Professor, Department of Anesthesiology, Parul Institute of Medical Sciences and Research, Parul University, Waghodia, Vadodara, Gujarat 391760,, India E-mail: null
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Avani Shah, Hitendra Kanzariya, Neeta Bose. A Correlation of Preoperative Ultrasound Parameter to Cormack-lehane Classification in Predicting Difficult Laryngoscopy. Indian J Anesth Analg. 2020;7(1 Part -I):9–14
Timeline
Received : October 17, 2019
Accepted : November 18, 2019
Published : February 25, 2020
Abstract
Background: Prediction of difficult airway is a challenging task. Commonly used airway assessment screening tests has high interobserver variability and low predictability in detecting difficult airway. Ultrasound could be a helpful tool in the prediction of these difficulties. Objectives: The purpose of this study was to evaluate the ability of preoperative ultrasound assessment of anterior neck soft tissue thickness in predicting difficult laryngoscopy in patients undergoing during elective surgery requiring tracheal intubation. Design: Prospective; Double blind; Observational study. Patients: A total of 100 patients aged more than 18 years, without neck pathologies undergoing general anesthesia and tracheal intubation were included in the study. Outcome Measures: Ultrasound distance from skin surface to anterior commissure of vocal cord (DSVC) was recorded with a linear 6 to 13 MHz ultrasound transducer preoperatively. Postoperative anesthesia record was analyzed for Cormac Lehane grades during laryngoscopy. Results: The DSVC cutoff value of 0.51 cm was the best predictor of Cormack Lehane grade more than 2 at direct laryngoscopy and of difficult intubation, (sensitivity 78.3%, specificity 74%). The mean (SD) of DSVC was 0.53 (0.12) cm in the difficult laryngoscopy group and 0.40 (0.14) cm in the easy laryngoscopy group, (p < 0.001). Conclusion: The noninvasive prediction of difficult laryngoscopy can be done by airway ultrasound. The distance of 0.51 cm or more at the level of vocal cord can predict potential difficult laryngoscopy in patients undergoing anesthesia with endotracheal intubation.
References
1. Shiga T, Wajima Z, Inoue T. Predicting difficult intubation in apparently normal patients: A meta-analysis of bedside screening test performance. Anesthesiology 2005;103(2):429– 37.
2. Combes X, Jabre P, Jbeili C. Prehospital standardization of medical airway management: Incidence and risk factors of difficult airway. Acad Emerg Med 2006;13(8):828–34.
3. De Jong A, Molinari N, Terzi N. Early identification of patients at risk for difficult intubation in the intensive careunit: Development and validation of the MACOCHA score in a multicenter cohort study. Am J Respir Crit Care Med 2013;187(8):832–39.
4. Cook TM and MacDougall-Davis SR. Comlications and failure of airway management. Br J Anesth 2012;109(Suppl. 1):i68–i85.
5. Samsoon GL and Young JR. Difficult tracheal intubation: A retrospective study. Anesthesia 1987;42(5):487–90.
6. Rose DK and Cohen MM. The incidence of airway problems depends on the definition used. Can J Anesth 1996;43(1):30–34.
7. Sakles JC, Laurin EG, Rantapaa AA. Airway management in the emergency department: A one-year study of 610 tracheal intubations. Ann Emerg Med 1998;31(3):325–32.
8. Nolan JP and Kelly FE. Airway challenges in critical care. Anesthesia 2011;(66) Suppl 2:81– 92.
9. Lee A, Fan LTY, Gin T, et al. A systematic review (meta-analysis) of the accuracy of the Mallampati tests to predict the difficult airway. Anesth Analg 2006;102(6):1867–878.
10. Chan SMM, Wong WY, Lam SKT. Use of ultrasound to predict difficult intubation in Chinese population by assessing the ratio of the pre-epiglottis space distance and the distance between epiglottis and vocal folds. Hong Kong J Emerg Med 2018;25(3):152–59.
11. Cormack RS, Lehane J. Difficult tracheal intubation in obstetrics. Anesthesia 1984;39:1105–111.
12. Frerk C, Mitchell VS, McNarry AF. Difficult Airway Society guidelines for management of unanticipated difficult intubation in adults. Br J Anesth 2015;115(6):827–48.
13. Apfelbaum JL, Hagberg CA, Caplan RA. American Society of Anesthesiologists Task Force on Management of the Difficult Airway. Practice guidelines for management of the difficult airway: An updated report by the American Society of Anesthesiologists Task Force on Management of the Difficult Airway. Anesthesiology 2013 Feb;118(2):251–270.
14. Tamire T, Demelash H, Admasu W. Predictive values of preoperative tests for difficult laryngoscopy and intubation in adult patients at tikuranbessa specialized hospital. Anesthesiol Res Pract 2019(Article ID 1790413):13.
15. Kundra P, Mishra SK, Ramesh A. Ultrasound of the airway. Indian J Anesth 2011 Sep;55(5):456– 62.
16. Ezri T, Gewurtz G, Sessler DI. Prediction of difficult laryngoscopy in obese patients by ultrasound quantification of anterior neck soft tissue. Anesthesia 2003 Nov;58(11):1111–114.
17. Komatsu R, Sengupta P, Wadhwa A. Ultrasound quantification of anterior soft tissue thickness fails to predict difficult laryngoscopy in obese patients. Anesth Intensive Care 2007 Feb;35(1):32–37.
18. Rana S, Verma V, Bhandari S, et al. Point-ofcare ultrasound in the airway assessment: A correlation of ultrasonography-guided parameters to the Cormack–Lehane Classification. Saudi J Anesth 2018 AprJun;12(2):292–96.
19. Alessandri F, Antenucci G, Piervincenzi E. Ultrasound as a new tool in the assessment of airway difficulties: An observational study. Eur J Anesthesiol 2019;36(7):509–515.
20. Adhikari S, Zeger W, Schmier C. Pilot study to determine the utility of point of-care ultrasound in the assessment of difficult laryngoscopy. Acad Emerg Med 2011 Jul;18(7):754–58.
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Avani Shah, Hitendra Kanzariya, Neeta Bose. A Correlation of Preoperative Ultrasound Parameter to Cormack-lehane Classification in Predicting Difficult Laryngoscopy. Indian J Anesth Analg. 2020;7(1 Part -I):9–14
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.