Published online Jan 27, 2024. doi: 10.4240/wjgs.v16.i1.155
Peer-review started: November 30, 2023
First decision: December 18, 2023
Revised: December 21, 2023
Accepted: January 5, 2024
Article in press: January 5, 2024
Published online: January 27, 2024
Neutrophil-lymphocyte ratio (NLR), fibrosis index based on four factors (Fib4), aspartate aminotransferase-to-platelet ratio index (APRI) can be used for prog
To screen the factors that affect the prognosis of hepatocellular carcinoma and establish a nomogram model that predicts postoperative liver failure after hepatic resection in patients with hepatocellular carcinoma.
In total, 220 patients with hepatocellular carcinoma treated in our hospital from January 2022 to January 2023 were selected. They were divided into 154 parti
Binary logistic regression showed that Child-Pugh grading, Surgical site, NLR, Fib4, and APRI were all risk factors for liver failure after hepatic resection in patients with hepatocellular carcinoma. The modeling cohort built a column-line graph model, and the area under the ROC curve was 0.986 [95% confidence in
NLR, Fib4, and APRI independently influence posthepatectomy liver failure in patients with hepatocellular carcinoma. The column-line graph prediction model exhibited strong prognostic capability, with substantial concordance between predicted and actual events.
Core Tip: Postoperative liver failure in hepatocellular carcinoma is a serious complication that seriously affects the survival and quality of life of patients. Our work showed that neutrophil-lymphocyte ratio, fibrosis index based on four factors, and aspartate aminotransferase-to-platelet ratio index independently influenced the occurrence of liver failure following hepatectomy in patients with hepatocellular carcinoma. The column-line graph prediction model constructed in this study for the occurrence of liver failure after hepatectomy in patients with hepatocellular carcinoma showed good predictive ability, and the consistency between the predicted and actual events was high. This model has broad potential as a tool to prevent liver failure after hepatectomy in patients with hepatocellular carcinoma.