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Comparison of Sensitivity, Specificity, and Accuracy of Wilson's Score and Intubation Prediction Score for Prediction of Difficult Airway in an Eastern Indian Population-A Prospective Single-blind Study

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Specialty Public Health
Date 2020 Jun 9
PMID 32509629
Citations 2
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Abstract

Introduction: Unidentified difficult airway leads to significant adverse events and therefore prediction of a difficult airway is of importance. Independent bedside tests for the prediction of a difficult airway have poor accuracy. The airway assessment scores have not gained popularity as they are cumbersome to perform at the bedside. They also have a varying degree of interobserver variability because of their subjective parameters. Therefore, there is a need to search for a simple score with objective parameters that can be performed at the bedside.

Aim: To determine the diagnostic accuracy of the Wilson score andiIntubation prediction score for predicting difficult airway in the Eastern Indian population.

Material And Method: A prospective single-blind study was done including 150 consecutive patients, ASA grade I and II between the ages of 18 and 70 years, undergoing surgery requiring general anesthesia with endotracheal intubation. Preoperatively, the airway was assessed in all patients using Wilson Score and Intubation Prediction Score. General anesthesia with endotracheal intubation was done in all patients. The airway was assessed for ease laryngoscopy and intubation using the Intubation Difficulty Scale. An IDS >5 was taken as difficult airway. The sensitivity, specificity, PPV, NPV, and accuracy of the two predictive tests to predict a difficult was calculated.

Results: The sensitivity, positive predictive value and accuracy of Intubation Prediction Score was 77.8%, 58.3%and 90.7% respectively as compared to 38.9%, 25.95% and 78.33% respectively of Wilsons score.

Conclusion: Intubation Prediction score with its objective parameters can be preferred as a simple and accurate bedside test to predict a difficult airway in an Eastern Indian population.

Citing Articles

Evaluation of preoperative difficult airway prediction methods for adult patients without obvious airway abnormalities: a systematic review and meta-analysis.

Wang Z, Jin Y, Zheng Y, Chen H, Feng J, Sun J BMC Anesthesiol. 2024; 24(1):242.

PMID: 39020308 PMC: 11253413. DOI: 10.1186/s12871-024-02627-1.


Development and validation of a difficult laryngoscopy prediction model using machine learning of neck circumference and thyromental height.

Kim J, Kim H, Jang J, Hwang S, Lim S, Lee J BMC Anesthesiol. 2021; 21(1):125.

PMID: 33882838 PMC: 8059322. DOI: 10.1186/s12871-021-01343-4.

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