Analysis of risk factors and development of a predictive model for significant serum creatinine elevation in patients administered SGLT2 inhibitor in a real-world clinical setting in China

This study developed a reliable predictive model, highlighting key risk factors. The model can assist clinicians in early identification and monitoring of patients at risk, potentially reducing adverse renal outcomes and hospital stays. Further prospective studies are needed to validate and refine the model.