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. Author manuscript; available in PMC: 2023 Jun 4.
Published in final edited form as: Dig Dis Sci. 2021 Jan 2;66(12):4508–4517. doi: 10.1007/s10620-020-06763-9

Table 4.

Predictive accuracy of noninvasive models for decompensation and hospital stay in patients with viral cirrhosis

Viral cirrhosis (n = 1730) AUC for the risk of ascites (95% CI)
AUC for the risk of hepatic encephalopathy (95% CI)
AUC for the risk of any decompensation (95% CI)
Hazard ratio of decompensation (95% CI, P) Concordance index (P)g Hospital days IRR (95% CI, P)h
1-yeara 3-yearb 1-yearc 3-yeard 1-yeare 3-yearf
ALBI 0.686 (0.682–0.69) 0.717 (0.713–0.721) 0.776 (0.771–0.78) 0.787 (0.782–0.792) 0.728 (0.725–0.731) 0.739 (0.734–0.744) 2.35 (1.98–2.78, < 0.01) 0.672 (< 0.01) 1.46 (1.15–1.85, < 0.01)
ALBI-FIB-4 0.694 (0.689–0.699) 0.724 (0.719–0.728) 0.78 (0.775–0.784) 0.792 (0.788–0.796) 0.741 (0.737–0.745) 0.754 (0.751–0.757) 1.29 (1.16–1.44, < 0.01) 0.681 (< 0.01) 1.09 (0.98–1.22, 0.11)
APRI 0.617 (0.612–0.621) 0.624 (0.618–0.63) 0.669 (0.665–0.673) 0.658 (0.652–0.663) 0.646 (0.642–0.651) 0.649 (0.644–0.653) 1.04 (1.01–1.07, 0.011) 0.614 (< 0.01) 0.99 (0.95–1.03, 0.539)
CTP 0.658 (0.653–0.663) 0.666 (0.661–0.671) 0.732 (0.728–0.736) 0.733 (0.728–0.737) 0.687 (0.683–0.691) 0.686 (0.682–0.69) 1.49 (1.36–1.64, < 0.01) 0.628 (< 0.01) 1.55 (1.3–1.85, < 0.01)
FIB-4 0.675 (0.67–0.68) 0.692 (0.688–0.696) 0.731 (0.725–0.738) 0.735 (0.73–0.741) 0.704 (0.701–0.709) 0.719 (0.715–0.724) 1.04 (1.02–1.07, < 0.01) 0.66 (< 0.01) 0.99 (0.97–1.02, 0.636)
Lok index 0.684 (0.679–0.689) 0.709 (0.704–0.713) 0.741 (0.737–0.744) 0.759 (0.754–0.764) 0.71 (0.706–0.714) 0.722 (0.718–0.726) 9.4 (5.84–14.97, < 0.01) 0.663 (< 0.01) 1.17 (0.73–1.88, 0.511)
MELD 0.632 (0.626–0.638) 0.632 (0.627–0.638) 0.698 (0.693–0.702) 0.683 (0.678–0.688) 0.656 (0.653–0.66) 0.638 (0.634–0.642) 1.08 (1.05–1.11, < 0.01) 0.611 (< 0.01) 1.13 (1.08–1.17, < 0.01)

AUC area under the curve, CI confidence interval, IRR incidence risk ratio

a

AUC of ALBI-FIB-4 is significantly larger than AUCs of APRI, CTP, FIB-4, and MELD. There is no significant difference between ALBI, ALBI-FIB-4, and Lok index

b

AUC of ALBI-FIB-4 is significantly larger than AUCs of APRI, CTP, FIB-4, Lok index, and MELD. There is no significant difference between ALBI and ALBI-FIB-4

c

AUC of ALBI-FIB-4 is significantly larger than AUCs of APRI, CTP, FIB-4, Lok index, and MELD. There is no significant difference between ALBI and ALBI-FIB-4

d

AUC of ALBI-FIB-4 is significantly larger than AUCs of APRI, CTP, FIB-4, Lok index, and MELD. There is no significant difference between ALBI and ALBI-FIB-4

e

AUC of ALBI-FIB-4 is significantly larger than AUCs of other noninvasive models

f

AUC of ALBI-FIB-4 is significantly larger than AUCs of other noninvasive models

g

Concordance index of ALBI-FIB-4 is significantly larger than AUCs of other noninvasive models

h

Akaike information criterion (AIC) of MELD (8109) is smaller than the AICs of ALBI (8141) and CTP (8121); the MELD has the best predictive ability of hospitalization