Risk Prediction of Incident Chronic Kidney Disease Using Plasma Proteomics in Individuals Without Diabetes

Chronic kidney disease (CKD) affects over 850 million people worldwide and increases the risks of cardiovascular disease, progression to end-stage kidney disease (ESKD), and premature death.1 The CKD Prognosis Consortium (CKD-PC) incident CKD risk equation1 has shown good discrimination in populations of individuals with and without diabetes. While these risk equations include clinically available information, they may benefit from adding biologically relevant variables to enhance risk prediction.