The Mayo Clinic Nephrectomy Registry was queried for patients who underwent PN or RN for a renal tumour between 1997 and 2013. Exclusions were nodal or distant metastases, venous tumour thrombus on imaging, and preoperative estimated glomerular filtration rate (eGFR) <15 mL/min. Parsimonious linear regression models predicting eGFR were also created for PN and RN using backward selection of candidate preoperative predictors, and eGFR predictions at one year were presented. Adjusted R2, a value ranging from 0−1 that represents the proportion of total variation in eGFR explained by the model, was used to quantify predictive ability.
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In summary, the authors created a prediction tool for renal function following RN and PN. If validated in other larger cohorts, this tool may be useful during patient counselling by providing personalized predicted renal function outcomes.
Presented By: Bimal Bhindi, MD, Mayo Clinic, Rochester, MN, United States
Written By: Hanan Goldberg, MD, Urologic Oncology Fellow (SUO), University of Toronto, Princess Margaret Cancer Centre Twitter: @GoldbergHanan at the 72nd Canadian Urological Association Annual Meeting - June 24 - 27, 2017 - Toronto, Ontario, Canada