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ISSN 1001-5256 (Print)
ISSN 2097-3497 (Online)
CN 22-1108/R
Volume 39 Issue 7
Jul.  2023
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Article Navigation >  Journal of Clinical Hepatology  > 2023  >  39(7): 1600-1608

Value of the nomogram based on HALP score in predicting the prognosis of patients with hepatocellular carcinoma after hepatectomy

DOI: 10.3969/j.issn.1001-5256.2023.07.014
  • a.

    Department of General Surgery (Hepatobiliary Surgery), The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China

  • b.

    Academician (Expert) Workstation of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China

Research funding:

Chen Xiao-Ping for the Development of Science and Technology of Hubei Province (CXPJJH11900001-2019339)

More Information
  • Corresponding author: FU Wenguang, fuwg@swmu.edu.cn (ORCID: 0000-0003-3672-9728)
  • Received Date: 2022-10-31
  • Accepted Date: 2022-12-28
  • Published Date: 2023-07-20
    Abstract
  •   Objective  To investigate the value of HALP score in evaluating the prognosis of patients with hepatocellular carcinoma (HCC) after hepatectomy and whether the nomogram based on HALP score could effectively predict the postoperative survival of patients.  Methods  A retrospective study was performed for the clinical data of 253 HCC patients who underwent surgical treatment in Department of Hepatobiliary Surgery, The Affiliated Hospital of Southwest Medical University, from July 2013 to March 2020. The receiver operating characteristic (ROC) curve was plotted to calculate the optimal cut-off values of HALP score and other related indicators; the chi-square test was used to investigate the association between HALP score and clinicopathological features; the Kaplan-Meier method was used to plot survival curves, and the Log-rank test method was used for comparison. The univariate and multivariate Cox regression analyses were used to investigate the association of HALP score and other clinical parameters with the prognosis of patients. R3.6 was used to establish a nomogram; C-index and calibration curve were used to evaluate the predictive ability of the nomogram, and net reclassification index (NRI) and integrated discrimination improvement (IDI) were used to compare predictive ability between the nomogram model and the conventional model.  Results  The Kaplan-Meier analysis showed that the high HALP group had significantly better overall survival (OS) and recurrence-free survival (RFS) than the low HALP group (P < 0.001). The univariate Cox regression analysis showed that white blood cell count, gamma-glutamyl transpeptidase (GGT), alkaline phosphatase (ALP), alpha-fetoprotein (AFP), surgical approach, microvascular invasion, TNM stage, degree of tumor differentiation, HALP, aspartate aminotransferase (AST)/alanine aminotransferase (ALT) ratio, neutrophil-to-lymphocyte ratio (NLR), and monocyte-to-lymphocyte ratio (MLR) were significantly associated with OS (all P < 0.05). The variables with statistical significance in the univariate Cox regression analysis were included in the multivariate Cox regression analysis, and the results showed that ALP, AST/ALT ratio, ALP, AFP, degree of tumor differentiation, and TNM stage were independent influencing factors for OS after surgery in HCC patients (all P < 0.05). The univariate Cox regression analysis showed that GGT, ALP, AFP, microvascular invasion, TNM stage, degree of tumor differentiation, HALP, AST/ALT ratio, NLR, and MLR were significantly associated with RFS (all P < 0.05), and the multivariate Cox regression analysis showed that HALP, AST/ALT ratio, NLR, ALP, AFP, and TNM stage were independent influencing factors for RFS after surgery in HCC patients (all P < 0.05). The nomograms for OS and RFS of HCC patients were established based on the multivariate analysis. The nomogram for OS had a C-index of 0.732 (95% confidence interval [CI]: 0.691-0.774) and an area under the ROC curve of 0.795, 0.791, and 0.775, respectively, in predicting 1-, 3-, and 5-year survival rates, and the nomogram for RFS had a C-index of 0.677 (95%CI: 0.637-0.717) and an area under the ROC curve of 0.742, 0.733, and 0.716, respectively, in predicting 1-, 3-, and 5-year survival rates. The calibration curves of 1-, 3-, and 5-year OS were well fitted to those of 1-, 3-, and 5-year RFS.  Conclusion  A low level of HALP before surgery is a predictive factor for poor long-term prognosis in HCC patients undergoing surgical treatment, and the nomogram model based on HALP score is superior to the BCLC staging model and can better predict the prognosis of HCC.

     

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