Predicting difficult airway among diabetic adults using palm print sign: A cross-sectional study
Year: 2025
Type: article
Study design: Observational Study
Abstract: Prediction of difficult airway among type 2 diabetic patients using the palm prints sign during preoperative assessment is of interest. A total of 215 diabetic patients scheduled for elective surgery were evaluated using palm print grading, Mallampati score, and other airway assessment tools. Difficult laryngoscopy was observed in 17.7% of patients and showed a significant association with higher palm print grades (2 and 3). The palm print sign demonstrated high sensitivity (78.9%), specificity (85.2%), and was identified as an independent predictor of difficult airway with an odds ratio of 4.91. Hence, early identification of difficult airway among diabetic patients can enhance airway management and reduce complications related to intubation.
Source: Bioinformation
Authors: AIIMS, Kalyani, West Bengal, India, Rahul Mandal, Kumari Sneha, Srirupa Mandal, Kalyan Kumar Saha, Samrat Smrutiranjan Sahoo
Institution: All India Institute of Medical Sciences, Kalyani
Language: English
Subfield: Anesthesiology and Pain Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4412048236