Abstract
Background
Liver stiffness measurement (LSM, which reflects fibrosis) and controlled attenuation parameter (CAP, which reflects steatosis), two parameters derived from hepatic transient elastography (TE), have scarcely been evaluated as predictors of cardiovascular complications and mortality in individuals with type 2 diabetes and nonalcoholic fatty liver disease (NAFLD).
Methods
Four hundred type 2 diabetic patients with NAFLD had TE examination (by Fibroscan®) performed at baseline. Multivariate Cox analyses evaluated the associations between TE parameters and the occurrence of cardiovascular events (CVEs) and mortality. TE parameters were assessed as continuous variables and dichotomized at low/high values reflecting advanced liver fibrosis (LSM > 9.6 kPa) and severe steatosis (CAP > 296 or > 330 dB/m). Improvements in risk discrimination were assessed by C-statistic and by the relative Integrated Discrimination Improvement (IDI) index.
Results
During a median follow-up of 5.5 years, 85 patients died (40 from cardiovascular causes), and 69 had a CVE. As continuous variables, an increasing LSM was a risk marker for total CVEs (hazard ratio [HR]: 1.05; 95% CI: 1.01–1.08) and all-cause mortality (HR: 1.04; 95% CI: 1.01–1.07); whereas an increasing CAP was a protective factor for both outcomes (HR: 0.93; 95% CI: 0.89–0.98; and HR: 0.92; 95% CI: 0.88–0.97; respectively). As dichotomized variables, a high LSM remained a risk marker of adverse outcomes (with HRs ranging from 2.5 to 3.0) and a high CAP was protective (with HRs from 0.3 to 0.5). The subgroup of individuals with low-LSM/high-CAP had the lowest risks while the opposite subgroup with high-LSM/low-CAP had the highest risks. Both LSM and CAP improved risk discrimination, with increases in C-statistics up to 0.037 and IDIs up to 52%.
Conclusions
Measured by hepatic TE, advanced liver fibrosis is a risk marker and severe steatosis is a protective factor for cardiovascular complications and mortality in individuals with type 2 diabetes and NAFLD.
Reply to: “Pitfalls in the non-invasive assessment of liver fibrosis with eLIFT-FM VCTE algorithm” and to “Application of the new eLIFT test for the non-invasive diagnosis of advanced liver fibrosis in people with type 2 diabetes”
