← brief for 2026-10-31 · Slowing decline

Predicting cardiovascular disease in peritoneal dialysis patients using glycated proteomics and machine learning: A prospective multicentre study.

Key takeaways

This study used blood tests to build a tool for predicting heart disease in dialysis patients. It shows a link between these markers and heart risk, but it is not proof of cause.

Who did this work

Ji J (Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.) · Nie Z (Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.) · Jiang N (Department of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.) · Xie T (Division of Nephrology, Minhang Hospital, Fudan University, Shanghai, China.) · Zhang L (Department of Nephrology, Shanghai Baoshan District Wusong Central Hospital (Wusong Branch, Zhongshan Hospital Affiliated to Fudan University), Shanghai, China.) · Liu X (Department of Nephrology, Second Hospital, Dalian Medical University, Dalian, China.) · Lu M (Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.) · Xiang B (Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.) · Wu W (Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.) · Jiang X (Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.) · Zhang L (Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.) · Ji J (Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.)

Source

Article · Europe PMC, CKD · 2026-11-01
https://doi.org/10.1002/ctm2.70889