ALB and chronic kidney disease: Urea, kidney disease type, phosphorus, albumin, and lipid-related parameters-reflecting systemic metabolic dysregulation-emerged as key contributors to model predictions.<h4>Discussion</h4>An interpretable Gradient Boosting model leveraging routinely measured metabolic laboratory data accurately identifies advanced CKD and captures clinically meaningful metabolic patterns associated with disease severity, supporting its potential integration into electronic health records for risk stratification and identification of advanced CKD among patients with established CKD in specialist care.