1. Non-Invasive Liver Fibrosis Scores Are Associated With Contrast-Associated Acute Kidney Injury in Patients Undergoing Elective Percutaneous Coronary Intervention.
- Author
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He, Hao-Ming, He, Chen, You, Zhe-Bin, Zhang, Si-Cheng, Lin, Xue-Qin, Luo, Man-Qing, Lin, Mao-Qing, Zhang, Li-Wei, Lin, Kai-Yang, and Guo, Yan-Song
- Subjects
LIVER disease diagnosis ,ELECTIVE surgery ,PERCUTANEOUS coronary intervention ,MULTIPLE regression analysis ,BLOOD platelets ,FIBROSIS ,RETROSPECTIVE studies ,RESEARCH funding ,RECEIVER operating characteristic curves ,ACUTE kidney failure ,ASPARTATE aminotransferase ,ALANINE aminotransferase - Abstract
Previous studies have demonstrated that non-invasive liver fibrosis scores (LFSs) are associated with kidney function deterioration. This study aimed to assess the predictive performance of LFSs in contrast-associated acute kidney injury (CA-AKI) in coronary artery disease (CAD) patients undergoing elective percutaneous coronary intervention (PCI). This retrospective study involved 5627 patients. The frequency of CA-AKI was 6.3% (n = 353). In a multivariate logistic analysis after adjustment, non-invasive LFSs, including fibrosis-5 score (FIB-5), fibrosis-4 score (FIB-4), aspartate aminotransferase to alanine aminotransferase ratio (AAR), and aspartate aminotransferase to platelet ratio index were independent risk factors for CA-AKI (all P <.05), whereas the Forns score was not (P >.05). The highest predictive performance was observed for FIB-5 (area under the curve [AUC] =.644) compared to other LFSs. A restricted cubic spline analysis confirmed approximately linear relationships between LFSs and risks of CA-AKI. Furthermore, adding FIB-5 (AUC =.747; net reclassification improvement [NRI] =.441, P <.001; integrated discrimination improvement [IDI] =.008, P <.001) or AAR (AUC =.747; NRI =.419, P <.001; IDI =.006, P =.010) to an established clinical risk model could significantly improve the prediction of CA-AKI. The LFSs were significantly associated with CA-AKI, possibly serving as predictive tools for early identification of CAD patients undergoing elective PCI that are at high risk of CA-AKI. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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