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. 2019 Jan 9;5(3-4):100–108. doi: 10.1159/000495838

Table 3.

Stepwise linear regression of factors predicting development of HCC

Model Unstandardized coefficients
p value OR 95.0% confidence interval for OR
B Sth. error Lower bound Upperbound
R2 0.91

B (constant) 1.888
PLT −0.002 0.000 0.000 0.218 −0.002 −0.001
Age −0.041 0.003 0.000 0.649 −0.047 −0.036
Albumin 0.406 0.067 0.000 0.341 0.273 0.539
RT-PCR for MMP-12 −0.050 0.004 0.000 0.499 −0.057 −0.043
WBCs 0.065 0.012 0.000 0.229 0.042 0.088
TB −0.697 0.132 0.000 0.367 −0.957 −0.437
SGOT −0.022 0.002 0.000 0.794 −0.025 −0.018
SGPT 0.012 0.001 0.000 0.488 0.010 0.015
RBCs 0.454 0.083 0.000 0.542 0.290 0.618
Creatinine 0.252 0.048 0.000 0.140 0.158 0.346
RT-PCR −5.46 0.000 0.000 0.135 0.000 0.000
MMP-12 −0.214 0.038 0.000 0.205 −0.288 −0.140
HB −0.104 0.034 0.003 0.336 −0.170 −0.037
AFP 0.000 0.000 0.012 0.092 0.000 0.000

Regression equation: HCC = B0 (2.89) − 0.002 × PLT − 0/04 × age + 0.41 × albumin − 0.05 × RT-PCR for MMP-12 + 0.06 × WBCs − 0.69 × TB − 0.02 × SGOT + 0.01 × SGPT + 0.45 × RBCs + 0.25 × creatinine − 5.46 × RT-PCR − 0.2 × MMP-12 − 0.1 × HB + 0.0001 × AFP.