Construction of a miR-15a-based risk prediction model for vascular calcification detection in patients undergoing hemodialysis

Construction of a miR-15a-based risk prediction model for vascular calcification detection in patients undergoing hemodialysis

AbstractVascular calcification (VC) is highly prevalent in patients undergoing hemodialysis, and is a significant contributor to the mortality rate. Therefore, biomarkers that can accurately predict the onset of VC are urgently required. Our study aimed to investigate serum miR-15a levels in relatio...

Full description

Bibliographic Details
Main Authors: Chen Fu, Yingjie Liu, Huayu Yang, Qiaojing Liang, Wenhu Liu, Weikang Guo
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Renal Failure
Subjects:
Hemodialysis
miR-15a
vascular calcification
abdominal aortic calcification score (AACS)
nomogram model
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2024.2313175

Internet

https://www.tandfonline.com/doi/10.1080/0886022X.2024.2313175

Similar Items