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Table 2 Univariate and multivariable logistic regression analysis associated with the four models of LRV and HRV

From: Predictive value of high-risk esophageal varices in cirrhosis based on dual-energy CT combined with clinical and serologic features

Ā Ā 

Univariate logistic regression analysis

Ā 

Multivariable logistic regression analysis

Ā 

Variable

OR

P

Ā 

OR (95%CI)

P

Clinical model

Age (years)

1.037

0.032

Ā Ā Ā 

Gender

/

/

Ā Ā Ā 

Etiology of cirrhosis

/

/

Ā Ā Ā 

Ascites

8.254

<0.001

Ā 

8.25(3.34,22.81)

<0.001

Child-pugh class

Ā 

0.002

Ā Ā Ā 

Child-pugh class (1)

4.550

0.001

Ā Ā Ā 

Child-pugh class (2)

3.467

0.045

Ā Ā Ā 

Constant

Ā Ā Ā 

/

<0.001

Serological model

WBC

0.640

<0.001

Ā 

0.77(0.60,0.98)

0.040

RBC

0.624

0.011

Ā Ā Ā 

HGB

/

/

Ā Ā Ā 

HCT

0.000

<0.001

Ā 

0.00(0.00,0.52)

0.031

PLT

0.982

<0.001

Ā 

0.99(0.98,1.00)

0.035

ALB

0.930

0.009

Ā Ā Ā 

TP

0.952

0.041

Ā Ā Ā 

AST

/

/

Ā Ā Ā 

ALT

0.984

0.004

Ā 

0.98(0.97,0.99)

0.011

AST/ALT

1.760

0.041

Ā Ā Ā 

Constant

Ā Ā Ā 

/

<0.001

DECT model

V-L

0.999

0.022

Ā Ā Ā 

V-S

1.004

<0.001

Ā 

1.00(1.00,1.01)

<0.001

NIC-L

0.002

0.008

Ā Ā Ā 

NIC-S

/

/

Ā Ā Ā 

NIV-L

0.997

0.003

Ā 

1.00(0.99,1.00)

0.003

NIV-S

1.007

<0.001

Ā Ā Ā 

Constant

Ā Ā Ā 

/

0.442

Combined model

NIV-L

Ā Ā Ā 

1.00(0.99,1.00)

0.007

V-S

Ā Ā Ā 

1.00(1.00,1.01)

<0.001

Ascites

Ā Ā Ā 

8.11(2.70,27.74)

<0.001

Constant

Ā Ā Ā 

/

0.162