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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