Development and validation of interpretable machine learning models for predicting AKI risk in patients treated with PD-1/PD-L1: a retrospective study.

Background: Anti-programmed cell death protein 1 (PD-1)/programmed cell death ligand 1 (PD-L1) immunotherapy has revolutionized cancer treatment. However, it can cause immune-related adverse events, including acute kidney injury (AKI). Such adverse events can interrupt treatment, affecting patient outcomes.

A new category for understanding the mechanisms of drug-induced kidney injury.

Medications contribute to about a quarter of acute kidney injury (AKI) cases among patients in hospitals. The impact of AKI is substantial on both families and society, and it has become a worldwide public health concern. Recently, a new framework for drug-induced acute kidney injury (DI-AKI) classification has been proposed.