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Dataset Information

Development of a tongue ultrasound-based predictive model for hypoxemia during painless gastroscopy in ASA I-II patients.


ABSTRACT:

Background

The risk of hypoxemia in painless gastroscopy has been widely recognized, but reliable predictors are still lacking. Tongue ultrasonography has been shown to facilitate the identification of difficult airways. In this study, we hypothesize that tongue ultrasonography may predict hypoxemia during painless gastroscopy, and aim to develop a predictive model for hypoxemia based on its prognostic value.

Methods

This study included 304 patients underwent painless gastroscopy. Common and tongue ultrasound indicators were used for the prediction, including body mass index (BMI), Mallampati test score, tongue thickness (TT) and hyomental distance. Univariate and multivariate logistic regression were used to identify independent predictors of hypoxemia. Nomograms were const

SUBMITTER: Wu H 

PROVIDER: S-EPMC12811964 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature