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. 2023 Apr 3;12(5):704–714. doi: 10.21037/hbsn-22-291

Table 5. Multivariate binary logistic regression analysis for predictors of PHLF.

Model variables B SE(B) Sig. Exp(B) 95% CI
Age 0.005 0.008 0.52 1.005 0.989–1.022
Gender 0.279 0.214 0.19 1.322 0.870–2.010
BMI (kg/m2) −0.002 0.024 0.92 0.998 0.951–1.046
Fibrosis 0.000 0.095 0.99 1.000 0.830–1.204
Neoadjuvant chemotherapy −0.569 0.363 0.12 0.566 0.278–1.152
Diabetes 0.270 0.363 0.39 1.310 0.712–2.409
Hypertension −0.221 0.234 0.35 0.802 0.507–1.268
COPD 0.833 0.436 0.06 2.301 0.979–5.408
Coronary artery disease −0.139 0.344 0.69 0.870 0.443–1.703
NAFLD activity score −0.113 0.086 0.19 0.893 0.754–1.057
Clavien-Dindo Class 0.017 0.040 0.996 1.000 0.939–1.101
Type of liver resection 1.036 0.210 <0.001 2.818 1.866–4.266

PHLF, post-hepatectomy liver failure; BMI, body mass index; COPD, chronic obstructive pulmonary disease; NAFLD, nonalcoholic fatty liver disease; B, logistic regression coefficient; SE(B), standard error; Sig., significance probability; Exp(B), odds ratio; 95% CI, 95% confidence interval.