Derivation and external validation of a simple risk score for predicting severe acute kidney injury after intravenous cisplatin: cohort study
Objective To develop and externally validate a prediction model for severe cisplatin associated acute kidney injury (CP-AKI). Design Multicenter cohort study. Setting Six geographically diverse major academic cancer centers across the US. Participants Adults (≥18 years) receiving their first dose of intravenous cisplatin, 2006-22. Main outcome measures The primary outcome was CP-AKI, defined as a twofold or greater increase in serum creatinine or kidney replacement therapy within 14 days of a first dose of intravenous cisplatin. Independent predictors of CP-AKI were identified using a multivariable logistic regression model, which was developed in a derivation cohort and tested in an external validation cohort. For the primary model, continuous variables were examined using restricted cubic splines. A simple risk model was also generated by converting the odds ratios from the primary model into risk points. Finally, a multivariable Cox model was used to examine the association between