Basal values and changes of liver stiffness predict the risk of disease progression in compensated advanced chronic liver disease

Dig Liver Dis. 2016 Oct;48(10):1214-9. doi: 10.1016/j.dld.2016.06.019. Epub 2016 Jun 25.

Abstract

Background and aims: Transient elastography has been proposed as a tool to predict the risk of decompensation in patients with chronic liver disease. We aimed to identify risk groups of disease progression, using a combination of baseline liver stiffness measurement (LSM) and its change over time (delta-LSM) in patients with compensated advanced chronic liver disease (cACLD).

Methods: Ninety-four patients with baseline LSM ≥10kPa, Child-Pugh score 5 and without previous decompensation were included. A second LSM was performed during follow-up and data on liver function and liver-related events were collected. The primary endpoint was a composite that included death, liver decompensation and impairment in at least 1 point in Child-Pugh score.

Results: After a median follow-up of 43.6 months, 15% of patients presented the primary endpoint. Multivariate analysis identified baseline LSM (OR 1.12, P=0.002) and delta-LSM (OR 1.02, P=0.048) as independent predictors of the primary endpoint. A high risk group represented by patients with baseline LSM ≥21kPa and delta-LSM ≥10% (risk of progression 47.1%, 95% CI: 23-71%) was identified, while patients with LSM <21kPa and delta-LSM <10% presented zero risk of progression (P=0.03).

Conclusions: Simple classification rules using baseline LSM and delta-LSM identify cACLD patients at low or high risk of disease progression.

Keywords: Compensated advanced chronic liver disease (cACLD); Liver stiffness; Prognosis.

MeSH terms

  • Aged
  • Chronic Disease
  • Disease Progression*
  • Elasticity Imaging Techniques*
  • Elasticity*
  • Female
  • Humans
  • Liver / diagnostic imaging
  • Liver / physiopathology*
  • Liver Diseases / diagnostic imaging*
  • Liver Diseases / physiopathology
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Predictive Value of Tests
  • Prospective Studies
  • Risk Factors
  • Spain