BACKGROUND: Soluble urokinase plasminogen activator receptor (suPAR) has been regarded as a permeability factor in proteinuria, though its role in primary nephrotic syndrome remains to be elucidated further. METHODS: Plasma samples and clinical information from 176 children with primary nephrotic syndrome were collected and concentrations of suPAR were measured. We evaluated the correlation between suPAR concentrations and clinical features, and the value of the plasma suPAR level in predicting steroid-resistant nephrotic syndrome (SRNS). RESULTS: There is a significant difference in plasma suPAR concentration between SRNS and steroid-sensitive nephrotic syndrome (SSNS) groups (3,744.1 ± 2,226.0 vs. 2,153.5 ± 1,167.0, p < 0.05). The area under the curve (AUC) was 0.80, with p < 0.001 for the receiver operating characteristic (ROC) curve analysis using suPAR to predict SRNS. The suspicious range for predicting SRNS was estimated to be 1,907.0 pg/ml to 3,043.5 pg/ml (χ(2) = 14.775, p = 0.001). CONCLUSIONS: From ROC curve analysis, we demonstrated the significance of the suPAR level in predicting SRNS with a high specificity but low sensitivity. However, the clinical value of suPAR to predict steroid resistance and guide therapy remains to be investigated further.
BACKGROUND: Soluble urokinase plasminogen activator receptor (suPAR) has been regarded as a permeability factor in proteinuria, though its role in primary nephrotic syndrome remains to be elucidated further. METHODS: Plasma samples and clinical information from 176 children with primary nephrotic syndrome were collected and concentrations of suPAR were measured. We evaluated the correlation between suPAR concentrations and clinical features, and the value of the plasma suPAR level in predicting steroid-resistant nephrotic syndrome (SRNS). RESULTS: There is a significant difference in plasma suPAR concentration between SRNS and steroid-sensitive nephrotic syndrome (SSNS) groups (3,744.1 ± 2,226.0 vs. 2,153.5 ± 1,167.0, p < 0.05). The area under the curve (AUC) was 0.80, with p < 0.001 for the receiver operating characteristic (ROC) curve analysis using suPAR to predict SRNS. The suspicious range for predicting SRNS was estimated to be 1,907.0 pg/ml to 3,043.5 pg/ml (χ(2) = 14.775, p = 0.001). CONCLUSIONS: From ROC curve analysis, we demonstrated the significance of the suPAR level in predicting SRNS with a high specificity but low sensitivity. However, the clinical value of suPAR to predict steroid resistance and guide therapy remains to be investigated further.
Authors: Björn Meijers; Rutger J H Maas; Ben Sprangers; Kathleen Claes; Ruben Poesen; Bert Bammens; Maarten Naesens; Jeroen K J Deegens; Ruth Dietrich; Markus Storr; Jack F M Wetzels; Pieter Evenepoel; Dirk Kuypers Journal: Kidney Int Date: 2014-01-08 Impact factor: 10.612
Authors: Carlos R Franco Palacios; John C Lieske; Hani M Wadei; Andrew D Rule; Fernando C Fervenza; Nikolay Voskoboev; Vesna D Garovic; Ladan Zand; Mark D Stegall; Fernando G Cosio; Hatem Amer Journal: Transplantation Date: 2013-08-27 Impact factor: 4.939
Authors: Siddiq Anwar; Derek S Larson; Nima Naimi; Muhammad Ashraf; Nancy Culiberk; Helen Liapis; Changli Wei; Jochen Reiser; Daniel C Brennan Journal: Front Med (Lausanne) Date: 2015-03-20