Validation of a new model for estimating glomerular filtration rate in patients with cancer.

2565Background: Estimation of glomerular filtration rate (GFR) is essential for carboplatin chemotherapy dosing. However, the most accurate method to estimate GFR in patients with cancer is unknown. Using data from 2471 patients with cancer, we developed a new model that improves estimation of GFR (eGFR) and carboplatin dose calculations when compared to BSA adjusted CKD-EPI, the next most accurate model for determination of eGFR in patients with cancer. [1] Here we present a multi-centre validation study of this work. Methods: Data on age, sex, height, weight, serum creatinine, and results for GFR from 51Cr-EDTA excretion measurements (51Cr-EDTA GFR) were obtained from Caucasian patients aged 18 years or older with histologically confirmed cancer diagnoses from one Swedish and six UK centres. We validated the new multivariate linear model for GFR using statistical analysis. 51Cr-EDTA GFR was compared with the estimated GFR (eGFR) from seven published models and the new model using root-mean-squared-error...