A novel nomogram for predicting stone-free status after retrograde intrarenal surgery in patients with kidney stones.

ABSTRACT:

Background

This study aimed to develop and validate a novel preoperative nomogram to predict stone-free status (SFS) in patients undergoing retrograde intrarenal surgery (RIRS) for kidney stones.

Methods

A total of 220 patients who underwent RIRS were retrospectively analyzed. Feature selection was performed using Boruta and LASSO algorithms, identifying six key preoperative predictors: inferior pole stone (classified by RIPA), calyx pelvic height (CPH), number of stones, maximum stone diameter, stone volume, and mean stone density. A nomogram was constructed using multivariable logistic regression and evaluated by receiver operating characteristic (ROC) analysis, calibration curves, decision curve analysis (DCA), and clinical impact curves (CIC). Internal validation was per

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC12821898 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature