Simon Nusinovici, Hengtong Li, Crystal Chong, Marco Yu, Ida Maria Hjelm Sørensen, Line Stattau Bisgaard, Christina Christoffersen, Susanne Bro, Sylvia Liu, Jian-Jun Liu, Lim Su Chi, Tien-Yin Wong, Gavin S W Tan, Ching-Yu Cheng, Charumathi Sabanayagam
BACKGROUND: The prevalence of chronic kidney disease (CKD) is high. Identification of cases with CKD or at high risk of developing it is important to tailor early interventions. The objective of this study was to identify blood metabolites associated with prevalent and incident severe CKD, and to quantify the corresponding improvement in CKD detection and prediction. METHODS: Data from four cohorts were analyzed: Singapore Epidemiology of Eye Diseases (SEED) (n = 8802), Copenhagen Chronic Kidney Disease (CPH) (n = 916), Singapore Diabetic Nephropathy (n = 714), and UK Biobank (UKBB) (n = 103,051)...
February 3, 2024: Journal of Nephrology