Research Paper Volume 16, Issue 4 pp 3420—3530

Figure 5. Univariate linear regression plots of BeGFR against MDRD eGFR using the four CDBs. (A–D) and MS-detected sCr (E) for all participants at Stages 0–4 after log₁₀ transformation. Univariate linear regression analysis of each selected metabolites with all participants’ log(MDRD eGFR) resulted in a high linear relationship (training R² = 0.85–0.94, root mean square errors (RMSEs) = 0.08–0.13; predictive R² = 0.91–0.95), which was similar with that of MS-detected sCr (training R² = 0.95, RMSE = 0.11; predictive R² = 0.95). ^***p < 0.001 β, unstandardized coefficient of linear regression. ^*R² was calculated based on the log(BeGFR) against log (eGFR) using the equation of the model and data of the discovery cohort. ^†R² was measured based on that using the equation of the model of the discovery cohort and data of the validation cohort.