Noninvasive Prediction of Erosive Esophagitis Using a Controlled Attenuation Parameter (CAP)-Based Risk Estimation...

Area of Science:

• Gastroenterology
• Hepatology
• Metabolic Syndrome

Background:

• Erosive esophagitis and fatty liver share common pathogenesis linked to obesity and visceral fat.
• The direct relationship between hepatic fat amount and erosive esophagitis severity remains under-investigated.
• A predictive model for erosive esophagitis risk is currently lacking.

Purpose of the Study:

• To investigate the association between hepatic fat accumulation and erosive esophagitis severity.
• To develop and validate a risk estimation model for erosive esophagitis.

Main Methods:

• 1045 participants underwent esophagogastroduodenoscopy and controlled attenuation parameter (CAP) measurement.
• Logistic regression identified independent predictors for erosive esophagitis.
• A risk model, the CBD score (CAP, BMI, alcohol Drinking), was constructed using a training cohort and validated.

Main Results:

• Erosive esophagitis prevalence was 10.7%, with severity positively correlated to hepatic fat (P < 0.05).
• The CBD score demonstrated good predictive accuracy (AUROC = 0.819) in the training cohort.
• The CBD score maintained diagnostic accuracy in the validation cohort (AUROC = 0.848), identifying high-risk individuals.

Conclusions:

• Hepatic fat accumulation is a significant factor associated with erosive esophagitis severity.
• The CBD score offers a simple, CAP-based tool for predicting erosive esophagitis risk.
• This model aids in identifying individuals requiring closer monitoring or intervention.