This invention relates to the field of
biomedical technology, and more particularly to a biomarker set, staging model, and their applications for chronic
kidney disease. This invention utilizes
metabolomics data analysis to obtain a biomarker set based on serum
creatinine. Then, through methodological optimization, a staging model for chronic
kidney disease is constructed. This staging model is also used for staging chronic
kidney disease, and the results are accurate, specific, precise, and
highly sensitive. It eliminates the false positive problem of traditional serum
creatinine-based methods and removes the influence of gender factors. Staging chronic
kidney disease based on this model is more consistent with the disease's progression characteristics.