A prediction model for hypoxemia during routine sedation for gastrointestinal endoscopy

Area of Science:

• Medical research
• Clinical prediction modeling
• Gastroenterology

Background:

• Hypoxemia is a potential risk during gastrointestinal endoscopy.
• Identifying predictors can improve patient safety and procedural outcomes.

Purpose of the Study:

• To identify clinical predictors of hypoxemia during gastrointestinal endoscopy.
• To develop a multivariable predictive model for hypoxemia.

Main Methods:

• Analysis of 308 patients undergoing gastrointestinal endoscopy.
• Statistical analysis of demographic data, comorbidities, anesthetic dose, and sedation scores.
• Development of a logistic regression (LR) model.

Main Results:

• Age, body mass index (BMI), and habitual snoring were independently associated with hypoxemia.
• The developed LR model incorporated age, BMI, and habitual snoring.
• The LR model demonstrated a predictive capability with an area under the ROC curve of 0.76.

Conclusions:

• The LR model incorporating age, BMI, and habitual snoring is a valuable tool for predicting hypoxemia.
• This model can aid in risk stratification and management during gastrointestinal endoscopy.