Predictive model of sarcopenia in chronic kidney disease: an integrated approach of bioinformatics, machine learning, and clinical validation

Background Sarcopenia represents a prevalent and clinically significant complication of chronic kidney disease (CKD), featuring insidious onset and diagnostic complexity. Elucidating the underlying pathogenic factors of CKD-related sarcopenia and constructing reliable predictive models are critical to optimizing clinical prognosis and patient outcomes. Methods This study enrolled two independent cohorts to develop and validate a predictive model for sarcopenia in patients with chronic kidney dis