Skip to main content
. 2022 May 12;9(1):e000689. doi: 10.1136/lupus-2022-000689

Table 4.

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.