Objectives: Non-alcoholic fatty liver disease (NAFLD) has been associated with increased cardiovascular risk (CVR) in the previous studies. In the majority, ultrasonography has been used to diagnose and stage NAFLD, which lacks sensitivity and is non-quantitative. Other more sensitive, comprehensive, and quantitative diagnostic tools such as vibration-controlled transient elastography (TE) have largely been underused in research work. TE-driven liver stiffness measurement (LSM) and controlled attenuation parameter (CAP) provide an accurate and simplified estimation of liver fibrosis and steatosis, respectively. Therefore, we aimed to analyze the association between these two objective, robust parameters and CVR. Materials and Methods: In this observational cross-sectional study, NAFLD participants were divided into two distinct categories of steatosis (CAP <290 and ≥290 dB) and fibrosis (LSM <10 and ≥10 kPa). Their CVR assessment was done by calculating Framingham risk score (FRS), American College of Cardiology/American Heart Association Pooled Cohort Equation Score (ACC/AHA PCES), and carotid intimal medial thickness (CIMT). Results: A greater number of participants presented with mild-moderate fibrosis (n = 41, 62.1%) as compared to severe fibrosis (n = 25, 37.8%) whereas severe steatosis participants predominated (n = 52, 78%) as compared to mild-moderate steatosis. The presence of significant fibrosis (LSM ≥10 kPa) was independently and significantly associated with FRS, ACC/AHA PCES, and CIMT. On the other hand, the presence of significant steatosis (CAP ≥290 dB/m) was not significantly associated with any CVR marker (FRS, ACC/AHA PCES, or CIMT), though a greater number of participants with CIMT >0.7 belonged to severe steatosis group. Conclusion: Subjects with severe fibrosis (LSM ≥10) had a significantly higher CVR, whereas severe steatosis (CAP ≥290) alone failed to predict CVR. Therefore, CVR reduction strategies can be targeted primarily in NAFLD subjects with fibrosis, particularly in resource-limited healthcare settings.
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