Table 4.
Multivariable dynamic ABMR prediction Cox model integrating the independent predictors of time to allograft loss identified at transplantation, at ABMR diagnosis, and at the post-treatment evaluation
| Variable | Number of Patients | Number of Events | HR | 95% CI | P |
|---|---|---|---|---|---|
| eGFR at ABMR diagnosis (per 1-ml/min per 1.73 m2 increment) | 278 | 60 | 0.93 | (0.90 to 0.95) | <0.001 |
| Interstitial fibrosis/tubular atrophy at ABMR diagnosis | |||||
| Banff score=0 | 130 | 16 | 1 | ||
| Banff score>0 | 148 | 44 | 2.44 | (1.36 to 4.37) | 0.003 |
| eGFR relative change after treatment (log10[value+0.7], continuous) | 278 | 60 | 0.24 | (0.16 to 0.35) | <0.001 |
| ΔPeritubular capillaritis Banff score after treatment (continuous) | 278 | 60 | 1.50 | (1.16 to 1.93) | 0.002 |
| Anti-HLA DSA MFI relative change after treatment (continuous) | 278 | 60 | 1.30 | (1.11 to 1.52) | <0.001 |
Relative change=
. Δ=value after treatment– value at ABMR diagnosis.