The impact of esophagogastric varices on the prognosis of patients with hepatocellular carcinoma

Sci Rep. 2017 Feb 17:7:42577. doi: 10.1038/srep42577.

Abstract

Whether or not esophagogastric varices (EGV) could determine the outcomes of patients with hepatocellular carcinoma (HCC) is still unclear. A total of 990 treatment-naive HCC patients who received an esophagogastroduodenoscopy at the time of HCC diagnosis were retrospectively enrolled. The factors in terms of prognosis were analyzed by Cox proportional hazards model and propensity score matching analysis. Among the enrolled patients, 480 (48.5%) patients had EGV. Patients with EGV had a significantly lower cumulative 5-year survival rate than those without EGV (24.9% versus 46.4%, p < 0.001). It was confirmed by a multivariate analysis and propensity score matching analysis. Stratified by tumor stage, the patients with EGV had lower survival rates than the patients without EGVs in all Barcelona Clinic Liver Cancer stages except stage D. Moreover, the patients with EGV had lower survival rates than those without EGV, both by curative or non-curative treatment modalities. In conclusion, EGV was an independent risk factor predicting poor prognosis for the patients with HCC by multivariate analysis, propensity score matching analysis, and subgroup analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Biomarkers
  • Carcinoma, Hepatocellular / complications*
  • Carcinoma, Hepatocellular / diagnosis
  • Carcinoma, Hepatocellular / mortality*
  • Carcinoma, Hepatocellular / therapy
  • Combined Modality Therapy
  • Esophageal and Gastric Varices / diagnosis
  • Esophageal and Gastric Varices / etiology*
  • Esophageal and Gastric Varices / prevention & control
  • Female
  • Humans
  • Liver Neoplasms / complications*
  • Liver Neoplasms / diagnosis
  • Liver Neoplasms / mortality*
  • Liver Neoplasms / therapy
  • Male
  • Middle Aged
  • Neoplasm Staging
  • Prognosis
  • Proportional Hazards Models
  • Survival Analysis

Substances

  • Biomarkers