Table 3 |.

Determination of optimal CI and (AI + CI) thresholds for predicting death-censored graft loss

Threshold value	Hazard ratio	95% confidence interval	P	AIC	BIC
CI ≥3	6.92	3.37–14.19	<0.0001	493.34	495.45
CI ≥4	6.93	3.79–12.65	<0.0001	484.91	487.02
CI ≥5	5.70	3.27–9.95	<0.0001	491.75	493.86
(AI + CI) ≥11	4.18	2.49–7.03	<0.0001	503.63	505.74
(AI + CI) ≥12	4.61	2.74–7.74	<0.0001	500.84	502.95
(AI + CI) ≥13	4.99	2.97–8.38	<0.0001	499.03	501.14
(AI + CI) ≥14	4.27	2.53–7.23	<0.0001	508.24	510.35
cg ≥1	1.17	1.91–5.48	<0.0001	512.78	514.89
cg ≥2	2.75	1.64–4.63	<0.0001	519.85	521.96

AI, activity index; AIC, Akaike information criterion; BIC, Bayesian information criterion; cg, Banff chronic glomerulopathy score; CI, chronicity index.

Differences in the development of graft loss between different patient groups was analyzed using the Kaplan-Meier method with the log-rank test to determine significance; Cox proportional hazards models were used to determine hazard ratios and their 95% confidence intervals. Thresholds for CI and (AI + CI) were based on the model fit statistics AIC and BIC obtained from the Cox regression models, with smaller AIC and BIC indicating a better fitting model.