PREDICTION OF DIFFICULT LARYNGOSCOPY BY ULTRASOUND GUIDED VALUATION OF ANTERIOR NECK SOFT TISSUE THICKNESS.

Journal Title: International Journal of Advanced Research (IJAR) - Year 2019, Vol 7, Issue 2

Abstract

Background : The major responsibility of the anaesthesiologist is to provide adequate ventilation to the patient. Most vital element for this is the airway. Difficulties in optimal airway management can lead to serious adverse effects and failure can even lead to mortality. We have evaluated the feasibility of sonography as an imaging tool in identifying important airway anatomical structures on the anterior aspect of the neck and correlated the ultrasound-guided measurements of the airway parameters with the Cormack Lehane classification of the direct laryngoscopy for prediction of the difficult airway. Aim : To predict Difficult Laryngoscopy by Ultrasound guided valuation Of Anterior Neck Soft Tissue Thickness. Method : The study was a prospective observational study. For this study, n (no of cases) =100 considering power of 95% from the previous study; including patients between the age group of 18 to 65 years, ASA I to III grades, scheduled for elective surgery and requiring general anaesthesia with directlaryngoscopy and endotracheal intubation. Patient with anticipated difficult airway were excluded. Modified Mallampati score, Neck circumference at the level of the thyroid cartilage, Thyromental distance, BMI, distance from skin to hyoid bone and distance from skin to the anterior commissure of vocal cords using the USG machine followed by MCLS grade on laryngoscopy were noted. Result : With reference to ROC analysis, the optimal cut-offs of DSHB, DSAC, neck circumference and BMI measurements for the prediction of difficult Laryngoscopy is 0.81 cm, 0.92 cm, 35.75cm and 24.8 kg/m2 respectively with the area under the curves being 0.944, 0.970, 0.801 and 0.745 respectively. Similarly, the optimal cut-off value for modifiedMallampati grades for the prediction of difficult Laryngoscopy is Grade II and above with area under the curves being 0.718. We also found that with experience the required time to measure the distances using USG was reduced with experience. Conclusion : We conclude from our study that the BMI, modified Mallampati grade and neck circumference are good predictors of difficult laryngoscopy. However, USG guided measurements at the level of hyoid bone and anterior commissure of vocal cords showed a higher specificity and sensitivity for the prediction of difficult laryngoscopy.

Authors and Affiliations

Joti Kanoujiya, Abhay Sancheti, S. Swami.

Keywords

Related Articles

CHONDROBLASTOMA IN THE DISTAL FEMUR: A CASE REPORT WITH LITERATURE REVIEW.

Chondroblastoma is an aggressive tumor of bone with the capacity for recurrence and metastasis with a relatively high incidence in older children and adolescents during the period of active epiphyseal growth. It is gener...

UNICYSTIC AMELOBLASTOMA: A DIAGNOSTIC CONUNDRUM FOR PATHOLOGISTS.

Unicystic ameloblastoma is a rare variant of ameloblastoma, which usually occurs in younger age groups on comparison with conventional ameloblastoma. The aggressiveness of the tumour is reported to be related to the vari...

EVALUATING QUALITY OF LIFE OF PATIENTS WITH VARICOSE VEIN.

Varicose vein (VV) is worldwide problem that can affect both male and female, varicose veins are a common manifestation of venous incompetence in the lower limb. It was classified into trunk, reticular or telangiectasia...

DETECTION AND RECOGNITION OF BANGLADESHI FISHES USING SURF AND CONVOLUTIONAL NEURAL NETWORK.

This paper represents a model to detection and recognize local fishes of Bangladesh implementing image processing and neural networking approaches. The aim of the research work is to apply computer vision and AI techniqu...

Download PDF file
  • EP ID EP483000
  • DOI 10.21474/IJAR01/8481
  • Views 85
  • Downloads 0

How To Cite

Joti Kanoujiya, Abhay Sancheti, S. Swami. (2019). PREDICTION OF DIFFICULT LARYNGOSCOPY BY ULTRASOUND GUIDED VALUATION OF ANTERIOR NECK SOFT TISSUE THICKNESS.. International Journal of Advanced Research (IJAR), 7(2), 242-255. https://europub.co.uk/articles/-A-483000