Observational Study
Copyright ©The Author(s) 2024.
World J Gastroenterol. Jul 21, 2024; 30(27): 3314-3325
Published online Jul 21, 2024. doi: 10.3748/wjg.v30.i27.3314
Figure 1
Figure 1 Flow chart of the cohorts in the study. BL: Blood loss; HCC: Hepatocellular carcinoma; INR: International normalized ratio; LASSO: Least absolute shrinkage and selection operator; LS: Liver stiffness RR: Resection range; SPA: Spleen area; TB: Total bilirubin.
Figure 2
Figure 2 Forest plot of odds ratio for the multiple variables in logistic regression analysis. 95%CI: 95% confidence interval; BL: Blood loss; INR: International normalized ratio; LS: Liver stiffness OR: Odds ratio; RR: Resection range; SPA: Spleen area; TB: Total bilirubin.
Figure 3
Figure 3 Nomogram of posthepatectomy liver failure model. BL: Blood loss; INR: International normalized ratio; LS: Liver stiffness; PHLF: Post-hepatectomy liver failure; RR: Resection range; SPA: Spleen area; TB: Total bilirubin.
Figure 4
Figure 4 Receiver operating characteristic of models in training cohort and validation cohort. A: Training cohort; B: Validation cohort. ALBI: Albumin-bilirubin; MELD: Model of end-stage liver disease; PM: Posthepatectomy liver failure model.
Figure 5
Figure 5 Figure calibration curves in the training cohort and the validation cohort and decision curve analysis of the prediction model. A: Training cohort; B: Validation cohort; C: Decision curve analysis of the prediction model. PHLF: Posthepatectomy liver failure.