Evaluation of the Frequency of Non-Alcoholic Fatty Liver Disease Among Coronary Heart Disease Patients.

  • Published In: Zagazig University Medical Journal, 2025, v. 31, n. 4. P. 1431 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Abdelkader, Abeer H.; Abdelwahab, Naglaa A.; Roshdy, Hisham S; Elsayed, Doaa I.; Elshamy, Moustafa H. 3 of 3

Abstract

Background: Nonalcoholic fatty liver disease (NAFLD) is the most common form of chronic liver disease and cardiovascular complications account for about 40% of total deaths in NAFLD. Evaluation of the link between NAFLD and ischaemic heart disease helps in better management of NAFLD patients and reduction of coronary heart disease complication. This study targets detection of the link between NAFLD and coronary heart diseases, also provides better management of non-alcoholic fatty liver disease patients and helps reduction of cardiovascular complications in these patients. Methods: 84 patients with coronary heart disease were evaluated with routine investigation (CBC, liver function tests, ESR. Lipid profile), BMI, abdominal ultrasound, echocardiography with estimation of wall motion score index of left ventricle, and fib 4 evaluation of liver fibrosis. Results: The severity of cardiac hypokinesia and liver fibrosis were directly proportionate to the severity of liver steatosis. Conclusion: NAFLD is commonly associated with coronary heart disease and the severity of NAFLD detected by ultrasonography is strongly related to the severity of coronary arteries obstruction. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Zagazig University Medical Journal. 2025/04, Vol. 31, Issue 4, p1431
  • Document Type:Article
  • Subject Area:Consumer Health
  • Publication Date:2025
  • ISSN:1110-1431
  • DOI:10.21608/zumj.2025.353867.3804
  • Accession Number:184638609
  • Copyright Statement:Copyright of Zagazig University Medical Journal is the property of Association of Arab Universities and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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