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      The Nonalcoholic Fatty Liver Disease Fibrosis Score Is Related to Epicardial Fat Thickness and Complexity of Coronary Artery Disease

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      Angiology
      SAGE Publications

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          Abstract

          Nonalcoholic fatty liver disease (NAFLD) is a hepatic manifestation of the metabolic syndrome and is associated with cardiovascular disease (CVD). The NAFLD Fibrosis Score (NFS) is an index used for the detection of liver fibrosis. We investigated the relationship between NFS and complexity of coronary artery disease (CAD). In this cross-sectional study, 109 patients with CAD and 50 patients without CAD were enrolled. Demographic data, laboratory parameters, epicardial fat thickness (EFT), NFS, and Synergy between percutaneous coronary intervention with Taxus and cardiac surgery (SYNTAX) score were recorded. Waist circumference, fasting glucose, low-density lipoprotein cholesterol (LDL-C), EFT, and NFS were significantly higher in the CAD group ( P < .05). High-density lipoprotein cholesterol (HDL-C) and ejection fraction were significantly lower in the CAD group ( P < .05). The SYNTAX score was positively correlated with fasting glucose, LDL-C, EFT, and NFS and negatively correlated with HDL-C ( P < .05). The NFS was positively correlated with EFT ( P = .019). Multivariate linear regression analysis revealed that NFS ( P = .012), EFT ( P < .001), and LDL-C ( P = .001) were independently associated with the SYNTAX score. In conclusion, NFS, as a marker of NAFLD, could identify patients at higher risk of CVD.

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          Author and article information

          Contributors
          Journal
          Angiology
          Angiology
          SAGE Publications
          0003-3197
          1940-1574
          January 2020
          April 24 2019
          January 2020
          : 71
          : 1
          : 77-82
          Affiliations
          [1 ]Division of Cardiology, School of Medicine, Bozok University, Yozgat, Turkey
          Article
          10.1177/0003319719844933
          31018673
          c2a46955-0f0b-4260-9848-a31563c1c0b1
          © 2020

          http://journals.sagepub.com/page/policies/text-and-data-mining-license

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