Table 4

Multiple models testing prediction of long-term outcomes by serum ferritin combined with FIB-4 to predict long-term outcomes

Method	Liver-related events (103/1324)	HCC (23/1322)	Cardiovascular events (135/1254)	Extrahepatic cancer (94/1104)	Mortality (66/1334)
Cox regression	0.718±0.001*	0.825±0.008	0.57±0.007	0.544±0.012	0.652±0.018*
Lasso-penalised Cox regression	0.711±0.005*	0.829±0.008	0.627±0.006	0.512±0.011	0.632±0.013*
Ridge-penalised Cox regression	0.72±0.002*	0.834±0.009*	0.601±0.004	0.543±0.009	0.641±0.017*
Elastic net-penalised Cox regression	0.72±0.005*	0.829±0.008	0.639±0.006	0.514±0.011	0.63±0.016

Median Harrell’s C-indices with corresponding standard errors of the median estimated on the test sets of the cross-validation. Cox proportional hazard model and its penalised variants (i.e., Lasso, Ridge and Elastic Net) were applied. The ratio number of events/total number for each outcome is reported on top into brackets.
*Reporting statistically higher C-indices with respect to the same model tested on the same cross-validation split but considering only confounders, according to the one-sided Wilcoxon signed rank test (p value <0.05).
FIB-4, Fibrosis-4; HCC, hepatocellular carcinoma.