Skip to main content

Table 2 Univariable and multivariable logistic regression analyses of risk factors for severe PHLF in the training dataset

From: CT radiomics nomogram for the preoperative prediction of severe post-hepatectomy liver failure in patients with huge (≥ 10 cm) hepatocellular carcinoma

Variables

Univariate analysis

Multivariate analysis

OR

95%CI

P value

OR

95% CI

P value

Age

1.012

0.962–1.066

0.639

   

Sex, male vs female

2.470

0.456–13.379

0.294

   

BMI (≥ 25 vs < 25)

0.628

0.182–2.160

0.460

   

HBV infection

1.703

0.419–6.922

0.457

   

TBIL

0.949

0.871–1.034

0.232

   

ALB

0.965

0.844–1.103

0.603

   

PT

1.512

0.809–2.829

0.195

   

INR (per 0.1 increase)

0.707

0.327–1.529

0.378

   

PLT

0.999

0.993–1.006

0.820

   

Tumor size

0.996

0.976–1.018

0.741

   

Cirrhosis

0.660

0.177–2.465

0.537

   

Extent of resection (extended vs partial)

4.903

1.381–17.405

0.014

4.483

1.591–12.633

0.005

Blood loss (≥ 800 vs < 800 ml)

0.250

0.054–1.161

0.077

   

Blood transfusion

2.609

0.517–13.164

0.245

   

Pringle maneuver

1.217

0.394–3.763

0.733

   

Child-Pugh score

2.803

0.239–32.839

0.412

   

MELD score

1.891

1.093–3.271

0.023

1.589

1.189–2.124

0.002

ALBI score

0.955

0.355–2.725

0.931

   

Radscore (per 0.1 increase)

1.144

1.068–1.224

< 0.001

1.139

1.066–1.216

< 0.001