Predicting Chronic Kidney Disease After Cisplatin Treatment Using Population-Level Data

Can we predict chronic kidney disease after cisplatin treatment?In this prognostic study including 9521 patients, 1228 of 9010 patients (13.6%) developed chronic kidney disease, and the estimated glomerular filtration rate decreased by a mean of 8.1 mL/min/1.73 m; a simple spline-based regression model based solely on the pretreatment estimated glomerular filtration rate achieved a similar predictive performance (area under the curve, 0.80) as complex machine learning models incorporating many clinical features. The model was validated in an external cohort.These findings suggest that cisplatin treatment is associated with a predictable decrease in the estimated glomerular filtration rate and that patients with lower baseline kidney function are most likely to develop chronic kidney disease.

Corresponding Author: Robert C. Grant, MD, PhD, Princess Margaret Cancer Centre, University Health Network, 7-811 700 University Ave, Toronto, ON M5G 1X6, Canada (robert.grant@uhn.ca).

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