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Development and Validation of a Risk Prediction Model Based on Inflammatory and Nutritional Composite Indicators for Posthepatectomy Liver Failure Following Radical Resection of Hepatocellular Carcinoma

  • 0Department of General Surgery, Anhui Provincial Hospital, Anhui Medical University, Hefei, Anhui, 230001, People's Republic of China.
Journal of Inflammation Research +

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April 24, 2025

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April 24, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study identifies key inflammatory and nutritional markers to predict post hepatectomy liver failure (PHLF) in hepatocellular carcinoma (HCC) patients. A developed nomogram model demonstrates good predictive value for PHLF, aiding clinical management.

Area Of Science

  • Hepatobiliary surgery
  • Oncology
  • Immunonutrition

Background

  • Preoperative inflammatory immunonutritional status is linked to hepatocellular carcinoma (HCC) prognosis.
  • Predictive value of these indicators for postoperative liver failure (PHLF) in HCC patients remains under-researched.

Purpose Of The Study

  • Identify independent predictors of post hepatectomy liver failure (PHLF) in HCC patients.
  • Develop a nomogram model for predicting PHLF in HCC patients.

Main Methods

  • Retrospective analysis of 760 HCC patients undergoing surgery.
  • Data split into training (n=570) and validation (n=190) sets.
  • Univariate analysis, LASSO regression, and multivariate logistic regression used to identify predictors.
  • Nomogram performance evaluated using ROC, calibration curves, and DCA.

Main Results

  • Several inflammatory and nutritional indicators (AAPR, ALBI, GAR, LMR, PNI, INR, APTT, TT) were identified as independent predictors of PHLF.
  • The nomogram achieved C-indices of 0.691 (training) and 0.680 (validation).
  • The nomogram demonstrated superior predictive efficacy compared to Child-Pugh and ALBI scores (AUCs 0.686 vs. 0.558 and 0.577).

Conclusions

  • An innovative nomogram model for predicting PHLF in HCC patients has been developed.
  • The nomogram shows good predictive value and clinical utility for managing HCC patients post-hepatectomy.

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