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Related Experiment Video

Updated: Jun 23, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

Subgroup-Specific Nomogram for Refined Risk Stratification in Hepatocellular Carcinoma Patients with Low LDL-C.

Bojun Liu1, Zhixia Gu2,3,4,5, Ling Li6

  • 1Hepatic Disease and Oncology Minimally Invasive Interventional Center, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, People's Republic of China.

Journal of Hepatocellular Carcinoma
|June 22, 2026
PubMed
Summary

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Lowering low-density lipoprotein cholesterol (LDL-C) is linked to worse survival in hepatocellular carcinoma (HCC) patients. A new nomogram aids in personalized risk stratification for this high-risk group.

Area of Science:

  • Oncology
  • Cardiovascular Research
  • Biostatistics

Background:

  • Hepatocellular carcinoma (HCC) presents significant mortality and clinical variability.
  • Low low-density lipoprotein cholesterol (LDL-C) is a known risk factor for HCC, but its precise impact on overall survival (OS) and effective risk stratification strategies remain underexplored.
  • Current prognostic models lack the specificity needed for precise risk assessment in HCC patients with low LDL-C levels.

Purpose of the Study:

  • To investigate the continuous dose-response relationship between LDL-C levels and OS in HCC patients.
  • To develop and validate a precise prognostic model for secondary risk stratification in high-risk HCC patients with low LDL-C.

Main Methods:

  • Retrospective analysis of 486 HCC patients.
Keywords:
HCCLDL-Chepatocellular carcinomalow-density lipoprotein cholesterolnomogramosoverall survivalrisk stratification

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  • Restricted cubic splines (RCS) and Cox regression to assess the LDL-C and OS relationship.
  • Development of a subgroup-specific nomogram using LASSO regression, validated with C-index, ROC curves, calibration, DCA, and KM curves.
  • Main Results:

    • A non-linear relationship was observed, with mortality risk increasing as LDL-C dropped below 2.2 mmol/L.
    • Lower baseline LDL-C was confirmed as an independent predictor of worse OS (HR=0.714, P=0.019).
    • The developed nomogram demonstrated good discrimination (C-index=0.686) and clinical utility for secondary risk stratification within the low LDL-C subgroup (P<0.0001).

    Conclusions:

    • Reduced baseline LDL-C independently predicts poorer overall survival in HCC patients.
    • The novel subgroup-specific nomogram offers an objective tool for enhanced risk stratification, facilitating personalized treatment strategies for high-risk HCC populations.