Evaluation of Palm Print Sign and Prayer Sign in Prediction of Difficult Laryngoscopy in Diabetic Patients

• Published in: Anesthesiology and pain medicine Vol. 13; no. 1
• Main Authors: Vakilian, Amirreza, Tabari, Masoomeh, Emadzadeh, Maryam, Soltani, Ghasem
• Format: Journal Article
• Language: English
• Published: Brieflands 01.02.2023
• DOI: 10.5812/aapm-129076
• ISSN: 2228-7523

Background: Laryngoscopy or endotracheal intubation in diabetic patients due to impaired mobility of the Atlanto-occipital joint owing to non-enzymatic glycosylation in connective tissue has always been a problem. A difficult laryngoscopy can disrupt the intubation process; therefore, it is valuable to predict difficult laryngoscopy using some anatomical criteria before general anesthesia. Objectives: The present study discussed the diagnostic value of two tests, palm print sign and prayer sign, in the prediction of laryngoscopy difficulty. Methods: Design: A diagnostic test and cross-sectional analytical design were used in this study. Setting: The study population included 200 patients with type 2 diabetes who were candidates for surgery under general anesthesia. Before surgery, the patients were examined regarding the airway status, Mallampati classification, head extension rate, thyromental distance, body mass index, upper lip biting test, and two palm print sign and prayer sign tests. All the diagnostic tests were compared to the Cormack test result for difficult airways regarding their sensitivity and specificity in difficult laryngoscopy. Results: The highest sensitivity was related to the Mallampati test, prayer sign test, and palm print sign test (100%). Furthermore, the mouth-opening test had the highest specificity (100%). The highest accuracy was reported for Mallampati, palm print sign, and prayer sign tests (> 86%). Conclusions: Among the tests studied to predict difficulty in laryngoscopy in diabetic patients, Mallampati and palm print sign tests have good sensitivity, specificity, and accuracy. Studies with a larger sample size are suggested to obtain more accurate results.