Clinical management implications from 33 579 urinary stones: novel patterns in composition, comorbidities, seasonal variation, and machine learning-based urosepsis prediction

This study presents the largest comprehensive analysis of urinary stone compositions in Asia, revealing previously unreported patterns in comorbidity associations, seasonal variations, and location-specific characteristics. The novel machine learning-based prediction model for urosepsis risk represents a significant advance in clinical risk stratification for urolithiasis patients.