Figure 4:
Receiver operating characteristic curves of two different prediction models for 1-year mortality including postoperative albumin. ROC curves using the IMPACT score (A) or the MELD score (B) alone compared to models which added postoperative albumin levels (dependent variable: 1-year mortality). Models including postoperative albumin showed better discrimination for 1-year mortality (IMPACT score—AUC = 0.65, 95% CI: 0.57–0.74 vs IMPACT score with albumin—AUC = 0.77, 95% CI: 0.70–0.84; difference between areas: 0.12, 95% CI: 0.02–0.21, P = 0.016; MELD score—AUC = 0.60, 95% CI: 0.50–0.70 vs. MELD score with albumin—AUC = 0.78, 95% CI: 0.70–0.85; difference between areas: 0.17, 95% CI: 0.06–0.29, P = 0.002)

Receiver operating characteristic curves of two different prediction models for 1-year mortality including postoperative albumin. ROC curves using the IMPACT score (A) or the MELD score (B) alone compared to models which added postoperative albumin levels (dependent variable: 1-year mortality). Models including postoperative albumin showed better discrimination for 1-year mortality (IMPACT score—AUC = 0.65, 95% CI: 0.57–0.74 vs IMPACT score with albumin—AUC = 0.77, 95% CI: 0.70–0.84; difference between areas: 0.12, 95% CI: 0.02–0.21, P = 0.016; MELD score—AUC = 0.60, 95% CI: 0.50–0.70 vs. MELD score with albumin—AUC = 0.78, 95% CI: 0.70–0.85; difference between areas: 0.17, 95% CI: 0.06–0.29, P = 0.002)

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