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. 2020 Jul 8;2020:6839137. doi: 10.1155/2020/6839137

Table 2.

Univariate and Multivariate Analysis of Predictors of the training set.

Variable Univariate Multivariate
OR (95% CI) P OR (95% CI) P
Age (year) 1.020 (0.998-1.042) 0.077
Gender (male/female) 1.159 (0.664-2.024) 0.604
ALT (U/L) 1.002 (1.000-1.004) 0.025
AST (U/L) 1.005 (1.001-1.008) 0.007
PLT (×109/L) 0.993 (0.989-0.998) 0.005 0.993 (0.989-0.998) 0.008
HA (ng/mL) 1.015 (1.008-1.021) <0.001
LN (ng/mL) 1.0332 (1.017-1.047) <0.001 1.024 (1.008-1.041) 0.003
IVC (ng/mL) 1.011 (1.007-1.016) <0.001
PIIINP (ng/mL) 1.112 (1.071-1.154) <0.001 1.095 (1.055-1.138) <0.001
FIB4 1.533 (1.214-1.936) <0.001
APRI 1.700 (1.246-2.322) 0.001

ALT: alanine aminotransferase; AST: aspartate aminotransferase; PLT: blood platelet; HA: hyalurona; LN: laminin; IVC: type IV collagen; PIIINP: procollagen type III N-terminal peptide; FIB-4: fibrosis 4 score; APRI, AST: platelet ratio index; OR: odds ratio; 95% CI: 95% confidence interval. Multivariate analysis was adjusted for age, ALT, AST, PLT, HA, LN, IVC, and PIIINP.