Predictive model validation of new baseline renal function in southern Chinese patients after partial or radical nephrectomy

Introduction This study was designed to validate the formula of New Baseline Glomerular Filtration Rate (NB-GFR) within a multicenter cohort of southern Chinese patients who underwent radical nephrectomy (RN) or partial nephrectomy (PN), with a specific focus on assessing its accuracy and effectiveness. Methods The predictive capability of the formula proposed by professor Palacios DA for estimating NB-GFR after PN or RN was evaluated, with a focus on its efficacy in the southern Chinese population. A retrospective analysis was conducted involving 398 RN patients and 185 PN patients from three hospitals between 2015 and 2022. The correlation between the postoperative NB-GFR predicted by the equation and the actual GFR of the patients was analyzed, and the level of agreement was assessed. Results We found strong positive correlation between NB-GFR and GFR after PN, with a correlation coefficient of R = 0.645, 95% confidence interval (95% confidence interval (CI)) [0.552–0.722], P < 0.001. Moderate positive correlation was observed between NB-GFR and GFR after RN, with R = 0.434, 95% CI [0.339–0.501]. Lin’s concordance correlation coefficient (CCC) analysis demonstrated a moderate concordance between post-operative GFR and NB-GFR, with a CCC value of 0.522 (95% CI [0.461–0.579], P < 0.001) for RN and 0.533 (95% CI [0.472–0.589], P < 0.001) for PN. Conclusion The NB-GFR prediction equation demonstrates moderate concordance with actual postoperative GFR in southern Chinese patients undergoing RN or PN, indicating broad application potential.