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Updated: Jan 16, 2026

Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Assessment of Cardiorenal Involvement in Systemic Sclerosis Patients
Chiara Pellicano1, Giancarlo D'Ippolito1, Annalisa Villa1
1Department of Translational and Precision Medicine, La Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy.
Abstract:
Systemic sclerosis (SSc) is an autoimmune disease associated with a high burden of morbidity and mortality due to organ complications. Pulmonary arterial hypertension (PAH) and cardiac involvement, characterized by chronic right ventricular (RV) pressure overload with consequent RV dysfunction and ultimately right heart failure (HF), are among these. A common comorbidity in SSc is chronic kidney disease (CKD). CKD is often present at the time of PAH diagnosis or a decline in renal function may occur during the course of the disease. CKD is strongly and independently associated with mortality in patients with PAH and HF. The cardiovascular and renal systems are closely interconnected, and disruption of this balance may result in cardiorenal syndrome (CRS). Type 2 CRS refers to CKD as a consequence of chronic HF. In clinical practice, non-specific markers such as troponin, B-type natriuretic peptide (BNP), N-terminal pro-BNP (NT-proBNP), and serum creatinine aid in CRS diagnosis. More specific biomarkers, including cystatin C (CysC), neutrophil gelatinase-associated lipocalin (NGAL), galectin-3, and soluble urokinase plasminogen activator receptor (suPAR), have shown value for diagnosis and prognosis in CRS. This study aimed to evaluate comprehensively heart/kidney damage markers related to CRS in SSc patients compared with healthy controls (HC) and to examine their association with renal and cardiac ultrasound parameters. SSc patients showed significantly higher CRS markers than HC (p < 0.001). SSc patients with clinically diagnosed CRS had significantly elevated galectin-3, suPAR, sNGAL, and uNGAL levels (p < 0.05) than SSc patients without CRS. Positive correlations were found between renal resistive index (RRI) and NT-proBNP (r = 0.335, p < 0.05), and between RRI and suPAR (r = 0.331, p < 0.05). NT-proBNP, suPAR, galectin-3, sNGAL, and uNGAL emerge as promising biomarkers for the early detection of cardiac and renal involvement in SSc patients.
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