Multi-Institutional Development and Validation of a Nomogram Based on New Microvascular Ultrasound Techniques to Predict the Severity of Renal Fibrosis in Chronic Kidney Disease

The authors aimed to develop and validate a nomogram that utilizes advanced microvascular ultrasound techniques, along with clinical features, to non-invasively predict the severity of renal fibrosis in chronic kidney disease (CKD) patients. The study included 208 CKD patients and demonstrated that the nomogram achieved high predictive performance, with area under the curve (AUC) values of 0.944 and 0.907 in the training and validation cohorts, respectively. This tool may enhance risk stratification and assessment of renal fibrosis severity in CKD.