Table A. Baseline characteristics of the CKD cohort (n = 803). Table B. A standard multivariate Cox proportional hazards model for predicting ESRD without propensity scores (n = 803).
Introduction: This study aims to assess the long-term renal prognosis of patients with hypertensive nephropathy (HN) diagnosed through renal biopsy, utilizing the random survival forest (RSF) algorith
7 Supplementary Tabels for article 'Prediction modeling using genetic polymorphisms, epigenetic and biochemical variables in steroid resistant and steroid dependent nephrotic syndrome in Polish childr
Frailty predicts poor outcomes in chronic kidney disease (CKD) patients. This study compared frailty’s predictive power with other factors and aimed to develop a model for predicting overall survival
Hazard ratios (95% confidence interval) of progression to end-stage kidney disease (ESKD) and all-cause mortality associated with baseline HbA1c and HbA1c trajectory groups.
