Claudia Torino, Patrizia Pizzini, Sebastiano Cutrupi, Maurizio Postorino, Giovanni Tripepi, Francesca Mallamaci, Jochen Reiser, Carmine Zoccali, Giovanni Alati, Eleonora Barreca, Rosalia Boito, Margherita Bovino, Vincenzo Bruzzese, Maria Capria, Simonetta Cassani, Salvatore Chiarella, Antonio Chippari, Teresa Cicchetti, Edoardo Crifò-Gasparro, Carlo Curti, Francesco D’Agostino, Emanuela D’Anello, Maria De Gaudio, Aldo Foscaldi, Cesare Fornaciari, Corrado Franco, Alfredo Gaglioti, Domenico Galati, Francesco Grandinetti, Maurizio Gullo, Maria Rosa La Gamba, Domenico Logozzo, Iginia Maimone, Maria Letizia Mannino, Elena Mazzuca, Agazio Mellace, Giuseppe Natale, Vincenzo Panuccio, Domenico Plutino, Antonio Pugliese, Anna Reina, Rita Roberti, Mariagrazia Santangelo, Arcangelo Sellaro, Rosalba Scicchitano, Carmela Vardè, and Francesco Zingone
Introduction The soluble receptor of urokinase plasminogen activator (suPAR) is an innate immunity/inflammation biomarker predicting cardiovascular (CV) and non-CV events in various conditions, including type 2 diabetic patients on dialysis. However, the relationship between suPAR and clinical outcomes in the hemodialysis population at large has not been tested. Methods We measured plasma suPAR levels (R&D enzyme-linked immunosorbent assay [ELISA]) in 1038 hemodialysis patients with a follow-up of 2.9 years (interquartile range = 1.7−4.2) who were enrolled in the PROGREDIRE study, a cohort study involving 35 dialysis units in 2 regions in Southern Italy. Results suPAR was strongly (P < 0.001) and independently related to female gender (β = −0.160), age (β = 0.216), dialysis vintage (β = 0.264), CV comorbidities (β = 0.105), alkaline phosphatase (β = 0.136), albumin (β = −0.147), and body mass index (BMI; β = 0.174) (all P < 0.006). In fully adjusted analyses, suPAR tertiles predicted the risk of all-cause mortality (third tertile vs. first tertile hazard ratio (HR) = 1.91, 95% confidence interval (CI) = 1.47 – 2.48, P < 0.001), CV mortality (HR = 1.47, 95% CI = 1.03–2.09, P = 0.03), and non-CV mortality (HR = 1.94, 95% CI = 1.28–2.93, P = 0.002); these relationships were not modified by diabetes or other risk factors. suPAR added only modest prognostic risk discrimination and reclassification power for these outcomes to parsimonious models based on simple clinical variables. Conclusion In conclusion, suPAR robustly predicted all-cause and both CV and non-CV mortality in a large unselected hemodialysis population. Intervention studies are needed to definitively test the hypothesis that suPAR is causally implicated in clinical outcomes in this population.