Current clinical algorithms for predicting common bile duct stones have only moderate accuracy

Area of Science:

• Gastroenterology
• Hepatology
• Diagnostic Accuracy

Background:

• A risk-stratified approach for common bile duct (CBD) stones aims to directly select patients for stone clearance, bypassing less invasive tests.
• Three clinical algorithms are commonly used to predict the presence of CBD stones.

Purpose of the Study:

• To assess the predictive performance of three clinical algorithms for identifying patients with common bile duct stones.

Main Methods:

• Prospective enrollment of 186 patients undergoing first-time ERCP for suspected CBD stones.
• Collection of imaging and liver function test (LFT) data 48 hours prior to and on the day of ERCP.
• Stratification of patients into risk groups using three algorithms; ERCP findings served as the gold standard.

Main Results:

• 75% of analyzed patients had CBD stones confirmed by ERCP.
• The three algorithms demonstrated moderate and comparable accuracy in predicting CBD stones (AUC range: 0.59-0.68).
• Similar performance was observed when using LFT data from 48 hours prior to ERCP.

Conclusions:

• Existing diagnostic algorithms for CBD stones possess moderate predictive accuracy.
• Further research is necessary to enhance the risk stratification of patients with suspected CBD stones.