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  • Title: Value of shear wave elastography in predicting hepatorenal syndrome in patients with liver cirrhosis and ascites.
    Author: Fang Y, Zhu H, Gao C, Gu Y, Liu Y, Yuan Y, Wu X.
    Journal: Int J Clin Pract; 2021 Nov; 75(11):e14811. PubMed ID: 34490949.
    Abstract:
    BACKGROUND: Early detection of renal damage in cirrhosis is critical to prevent hepatorenal syndrome (HRS). Although shear wave elastography (SWE) is useful for the assessment of kidney stiffness, no study has yet investigated the clinical feasibility of SWE for predicting HRS. OBJECTIVE: The aim of this study was to evaluate the value of SWE in predicting HRS in patients with cirrhosis and ascites. METHODS: A total of 131 patients with liver cirrhosis and ascites were recruited and followed them for 30 days for the development of AKI. Ultrasonographic examination was performed on all patients at hospital admission. The baseline clinical characteristics, renal biomarkers, renal resistive index (RI) and Young's modulus (YM) were recorded, and their relationship with development HRS was investigated. RESULTS: Sixty-eight patients developed AKI, 23 of them were HRS. Compared with patients in the non-AKI group and non-HRS group, the values of serum cystatin C (CystC), urine neutrophil gelatinase-associated lipocalin (NGAL) and renal RI were significantly increased, while the YM value was significantly decreased in the AKI group and HRS group. Correlation analysis showed that YM was significantly and negatively associated with serum creatinine, serum CystC, urinary NGAL and renal RI in addition to the significant association with the AKI stage. Logistic regression and ROC analysis showed that urine NGAL, renal RI and YM were closely related to the development of HRS. Among them, YM had a good predictive ability in predicting the occurrence of HRS, and the predictive value (AUC = 0.894) was improved when combined with renal RI. CONCLUSION: SWE can indicate renal injury in patients with cirrhosis and ascites. The combination of YM and RI has a good predictive value for the occurrence of HRS.
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