Fig. 4: NGM-derived quantitative features are predictive of disease progression in IgA nephropathy (IgAN).
From: Next-Generation Morphometry for pathomics-data mining in histopathology
a Comparison of five predictive digital biomarkers summarised at patient-level based on reaching the defined composite endpoint, i.e., end-stage kidney disease and/or halving of initial estimated glomerular filtration rate (eGFR) within 15 years after biopsy. b Univariate Cox proportional hazards models for 644 patients of the five predictive features summarised at patient-level including 95% confidence intervals. In three cases no glomerular tuft was segmented, and no shape features were calculated. Cumulative events for each group in the univariate Cox proportional hazard models are provided in Supp. Table 9. c Hazard ratios (centre) and their 95% confidence interval (error bars) from the univariate Cox proportional hazard models of the respective features. Source data are provided as a Source Data file. ESKD end-stage kidney disease, eGFR estimated glomerular filtration rate, HR hazard ratio, CI confidence interval.
