Blood biomarkers improve the prediction of prevalent and incident severe chronic kidney disease

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 qua...

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Published in:Journal of nephrology 2024-05, Vol.37 (4), p.1007-1016
Main Authors: Nusinovici, Simon, Li, Hengtong, Chong, Crystal, Yu, Marco, Sørensen, Ida Maria Hjelm, Bisgaard, Line Stattau, Christoffersen, Christina, Bro, Susanne, Liu, Sylvia, Liu, Jian-Jun, Chi, Lim Su, Wong, Tien-Yin, Tan, Gavin S. W., Cheng, Ching-Yu, Sabanayagam, Charumathi
Format: Article
Language:English
Subjects:
Medicine
Medicine & Public Health
Nephrology
Original Article
Urology
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Summary: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). Prevalent CKD (stages 3–5) was defined as estimated glomerular filtration rate (eGFR) 
ISSN:1724-6059
1724-6059
DOI:10.1007/s40620-023-01872-w