• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
  • Help
    • Item Submission
    • Publisher policies
    • User guides
    • FAQs
  • About QSpace
    • Vision & Mission
View Item 
  •   Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Medicine
  • Medicine Research
  • View Item
  • Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Medicine
  • Medicine Research
  • View Item
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Diagnostic Value of Non-invasive Liver Function Tests in Liver Fibrosis and Changes in These Parameters Post-metabolic Surgery

    Thumbnail
    Date
    2023-02-01
    Author
    Jangjoo, Sara
    Emami, Nima
    Sahranavard, Mehrdad
    Shah, Najeeb Z.
    Alidadi, Mona
    Baratzadeh, Fatemeh
    Sathyapalan, Thozhukat
    Eid, Ali H.
    Jangjoo, Ali
    Jamialahmadi, Tannaz
    Sahebkar, Amirhossein
    ...show more authors ...show less authors
    Metadata
    Show full item record
    Abstract
    Purpose: This study aimed to ascertain the diagnostic accuracy of non-invasive liver function tests in liver fibrosis and assess their changes after metabolic surgery. Materials and Methods: 1005 individuals with severe obesity who were referred for metabolic surgery were analysed. All participants had blood samples taken for liver enzymes and lipid profile. In addition, hepatic indexes, including AAR, APRI, NFS and Fibrosis-4 (FIB4), were checked. Furthermore, all participants underwent two-dimensional shear wave elastography (2D-SWE). All investigations were repeated 6–8 months after metabolic surgery. The receiver operating characteristic (ROC) curve and the area under the ROC curve was utilised to determine the optimal cut-off values for baseline study parameters. Logistic regression was applied to predict the relationship between study parameters—as predictors—and change in 2D-SWE. Results: AST/ALT (AAR) was the most sensitive (79%) pre-operative non-invasive serological marker for detecting liver fibrosis, whereas NAFLD Fibrosis Score (NFS) was the most specific (84%). AST/upper limit of the normal AST range × 100/platelets (× 109/L) (APRI) showed a positive correlation with 2D-SWE post-metabolic surgery (p-value = 0.021). Regression analysis from both adjusted and unadjusted models showed that baseline AAR was a predictor of postoperative liver status in terms of hepatic fibrosis. Conclusion: AAR has a high sensitivity, whereas NFS exhibits a high specificity in diagnosing liver fibrosis. The authors recommend using both investigations in conjunction with 2D-SWE to increase the likelihood of detecting liver fibrosis. Graphical Abstract: [Figure not available: see fulltext.]
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85144391454&origin=inward
    DOI/handle
    http://dx.doi.org/10.1007/s11695-022-06416-y
    http://hdl.handle.net/10576/40649
    Collections
    • Medicine Research [‎1759‎ items ]

    entitlement


    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Home

    Submit your QU affiliated work

    Browse

    All of Digital Hub
      Communities & Collections Publication Date Author Title Subject Type Language Publisher
    This Collection
      Publication Date Author Title Subject Type Language Publisher

    My Account

    Login

    Statistics

    View Usage Statistics

    About QSpace

    Vision & Mission

    Help

    Item Submission Publisher policiesUser guides FAQs

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Video