Transient elastography through controlled attenuated parameter assisting the stratification of cardiovascular disease risk in NAFLD patients

Background: Non-alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease worldwide. Transient elastography (Fibroscan (R)), by assessing the controlled attenuation parameter (CAP), is a non-invasive method able to accurately assess the presence and the grade of steatosis. Its hypothetical role in stratifying cardiovascular (CV) risk is unknown. We aim to assess the role of transient elastography, namely the CAP value, in the stratification of CV risk. Methods: Cohort, retrospective study, including consecutive NAFLD patients that underwent Fibroscan (R). Patients were followed at least one year. The correlation towards the outcome variable (cardiovascular event) was assessed with univariate and multivariate analysis. Results: We included 96 NAFLD patients, 64 (66.7%) women, with a mean age of 48.9 years-old. Fifteen (15.6%) patients presented a cardiovascular event during follow-up. The statistically significant variables associated with cardiovascular event were introduced in a multivariable binary logistic regression model according to clinical importance. The following variables kept a statistically significant independent association with cardiovascular event: CAP > 295 dB/m (OR 8.661 CI 95% [1.119-67.028]; p value 0.039); type 2 diabetes mellitus (OR 20.236 CI 95% [2.815-145.461]; p value 0.003); dyslipidaemia (OR 14.647 CI 95% [1.261-170.189]; p value 0.032) and smoking (OR 8.946 CI 95% [1.347-59.431]; p value 0.023). Conclusion: A CAP value above 295 dB/m independently increased the incidence of CV events up to 8-times. Transient elastography, through CAP, is a safe and cost-effective method to evaluate NAFLD, and should be considered in the stratification of CV risk. (C) 2020 Elsevier Masson SAS. All rights reserved.

Automated summary

This study found that a CAP value above 295 dB/m independently increased the risk of CV events, while type 2 diabetes, dyslipidaemia, and smoking were also associated with CV events.