Balkan Medical Journal (Mar 2024)

Development of a Nomogram Using the Inflammatory Risk Score for Prognostication in Moderate and Advanced Hepatocellular Carcinoma Associated with Hepatitis B Virus

  • Hongyao Chen,
  • Renyi Yang,
  • Xiaopeng Yu,
  • Kexiong Li,
  • Peisen Xue,
  • Wei Peng,
  • Puhua Zeng

DOI
https://doi.org/10.4274/balkanmedj.galenos.2024.2023-12-8
Journal volume & issue
Vol. 41, no. 2
pp. 130 – 138

Abstract

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Background: The changes in risk scores of inflammatory markers among patients diagnosed with hepatocellular carcinoma (HCC) remain unknown. Aims: To investigate the relationship between the inflammation risk score and other contributing factors and the prognostic outcomes in patients with moderate and advanced hepatitis B virus (HBV)-related HCC. Study Design: A retrospective cohort study. Methods: A total of 174 patients with moderate and advanced HBV related HCC were recruited to investigate the impact of stratified inflammatory risk scores and other associated risk factors on disease prognosis. Based on the optimal cut-off values calculated by the Youden index, the patients were divided into high-risk and low-risk groups based on their inflammation risk scores. Results: The study found a significant difference in median survival time between the low-risk and high-risk groups based on the inflammation risk score. Furthermore, the inflammation risk score, alpha-fetoprotein levels, transarterial chemoembolization treatment, and Barcelona Clinic Liver Cancer stage were identified as independent prognostic factors. The four variables were used to construct a prognostic nomogram for HCC. Subsequent evaluations using time-dependent receiver operating characteristic analysis and calibration curve tests revealed the nomogram’s commendable discriminatory ability. As a result, the nomogram proved to be an effective tool for predicting survival at 2- to 4-years. Conclusion: The inflammation risk score has been identified as a significant prognostic factor for HBV-related HCC. The development of nomogram models has provided a practical and effective tool for determining the prognosis of patients affected by HBV-related HCC.