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. 2023 Feb 6;13(4):600. doi: 10.3390/diagnostics13040600

Table 4.

Predictors of mortality during admission.

Baseline Parameters Univariate Analysis Multivariate Analysis
Subjects with ACLF
n = 52
Subjects without ACLF
n = 93
HR
(95% CI)
p-Value HR
(95% CI)
p-Value HR
(95% CI)
p-Value
Pulmonary injury 1.403 (1.162–2.389) p < 0.0001 1.694 (1.057–2.134) p < 0.0001 1.134 (1.017–1.644) p = 0.0017
The presence of COVID-19 infection 1.603 (1.362–1.935) p < 0.001
Other associated infections 1.203 (1.002–2.275) p < 0.001
Child–Pugh score 1.463 (1.042–2.015) p = 0.012 1.294 (1.035–2.044) p = 0.012
MELD score 4.903 (2.002–9.275) p = 0.004 1.654 (1.027–2.131) p = 0.004
ACLF grade 1.463 (1.672–2.765) p = 0.017
CLIF-OF score 7.203 (2.342–12.272) p < 0.001
CLIF C-ACLF 3.303 (1.892–5.075) p = 0.003 1.914 (1.001–2.387) p = 0.003
CLIF C-AD score 1.704 (1.442–2.934) p < 0.001 1.443 (1.184–1.759) p = 0.0004

Cox regression analysis was used to identify factors associated with mortality during admission and used a significance level of 0.05.