Subgroup analysis (Cox regression univariable models) testing itemised AI and CI scores as predictors of ESKD
| Variable | HR | 95% CI | P value |
| Glomerular activity | 1.384 | 1.029 to 1.861 | 0.032 |
| Subendothelial deposits | 4.824 | 1.129 to 16.301 | 0.033 |
| Necrosis/karyorrhexis | 1.247 | 0.329 to 4.273 | 0.746 |
| Endocapillary hypercellularity | 2.196 | 0.472 to 10.207 | 0.316 |
| Cellular crescents | 2.890 | 0.250 to 9.825 | 0.089 |
| Leucocyte infiltration | 2.898 | 0.766 to 10.940 | 0.117 |
| Glomerular chronicity | 1.302 | 0.582 to 2.915 | 0.520 |
| Tubular activity | 0.649 | 0.270 to 1.561 | 0.334 |
| Tubular chronicity | 1.628 | 0.920 to 2.874 | 0.090 |
| Tubular atrophy | 1.220 | 0.354 to 4.203 | 0.750 |
| Interstitial fibrosis | 0.712 | 0.143 to 3.553 | 0.679 |
Results from proportional hazards regression (Cox regression) univariable models, with ESKD as dependent variable and NIH itemised AI or CI score (ref 18) as predictors under investigation. Signifcant variables are highlighted in bold.
AI, activity score; CI, chronicity score; ESKD, end stage kidney disease.