Introduction: Acute kidney injury (AKI) is notably prevalent after cardiac surgery for patients with active infective endocarditis. This study aims to create a machine learning model to predict AKI in this high-risk group, improving upon existing models by focusing specifically on endocarditis-related surgeries.
Methods: We analyzed medical records from 527 patients who underwent cardiac surgery for active infective endocarditis from January 2012 to December 2023.
Purpose: Long non-coding RNA (LncRNA) urothelial carcinoma-associated 1 (UCA1) is reported to be dysregulated in hepatocellular carcinoma (HCC) progression. However, the functions of UCA1 in HCC still need further study. The aim is to detect the role of UCA1 involving in HCC cells proliferation and invasion, and epithelial-mesenchymal transition (EMT).
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