Skip Navigation
Skip to contents

Endocrinol Metab : Endocrinology and Metabolism

clarivate
OPEN ACCESS
SEARCH
Search

Author index

Page Path
HOME > BROWSE ARTICLES > Author index
Search
Kelly Ieong 1 Article
Clinical Study
Development of a Non-Invasive Liver Fibrosis Score Based on Transient Elastography for Risk Stratification in Patients with Type 2 Diabetes
Chi-Ho Lee, Wai-Kay Seto, Kelly Ieong, David T.W. Lui, Carol H.Y. Fong, Helen Y. Wan, Wing-Sun Chow, Yu-Cho Woo, Man-Fung Yuen, Karen S.L. Lam
Endocrinol Metab. 2021;36(1):134-145.   Published online February 24, 2021
DOI: https://doi.org/10.3803/EnM.2020.887
  • 5,654 View
  • 149 Download
  • 8 Web of Science
  • 8 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
In non-alcoholic fatty liver disease (NAFLD), transient elastography (TE) is an accurate non-invasive method to identify patients at risk of advanced fibrosis (AF). We developed a diabetes-specific, non-invasive liver fibrosis score based on TE to facilitate AF risk stratification, especially for use in diabetes clinics where TE is not readily available.
Methods
Seven hundred sixty-six adults with type 2 diabetes and NAFLD were recruited and randomly divided into a training set (n=534) for the development of diabetes fibrosis score (DFS), and a testing set (n=232) for internal validation. DFS identified patients with AF on TE, defined as liver stiffness (LS) ≥9.6 kPa, based on a clinical model comprising significant determinants of LS with the lowest Akaike information criteria. The performance of DFS was compared with conventional liver fibrosis scores (NFS, FIB-4, and APRI), using area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, positive and negative predictive values (NPV).
Results
DFS comprised body mass index, platelet, aspartate aminotransferase, high-density lipoprotein cholesterol, and albuminuria, five routine measurements in standard diabetes care. Derived low and high DFS cut-offs were 0.1 and 0.3, with 90% sensitivity and 90% specificity, respectively. Both cut-offs provided better NPVs of >90% than conventional fibrosis scores. The AUROC of DFS for AF on TE was also higher (P<0.01) than the conventional fibrosis scores, being 0.85 and 0.81 in the training and testing sets, respectively.
Conclusion
Compared to conventional fibrosis scores, DFS, with a high NPV, more accurately identified diabetes patients at-risk of AF, who need further evaluation by hepatologists.

Citations

Citations to this article as recorded by  
  • Benefits of combining SGLT2 inhibitors and pioglitazone on risk of MASH in type 2 diabetes—A real‐world study
    Chi‐Ho Lee, David Tak‐Wai Lui, Lung‐Yi Mak, Carol Ho‐Yi Fong, Kylie Sze‐Wing Chan, Jimmy Ho‐Cheung Mak, Chloe Yu‐Yan Cheung, Wing‐Sun Chow, Yu‐Cho Woo, Man‐Fung Yuen, Wai‐Kay Seto, Karen Siu‐Ling Lam
    Diabetes, Obesity and Metabolism.2025; 27(2): 574.     CrossRef
  • Implementation of a liver health check in people with type 2 diabetes
    Kushala W M Abeysekera, Luca Valenti, Zobair Younossi, John F Dillon, Alina M Allen, Mazen Noureddin, Mary E Rinella, Frank Tacke, Sven Francque, Pere Ginès, Maja Thiele, Philip N Newsome, Indra Neil Guha, Mohammed Eslam, Jörn M Schattenberg, Saleh A Alqa
    The Lancet Gastroenterology & Hepatology.2024; 9(1): 83.     CrossRef
  • Insulin Resistance, Non-Alcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus: Clinical and Experimental Perspective
    Inha Jung, Dae-Jeong Koo, Won-Young Lee
    Diabetes & Metabolism Journal.2024; 48(3): 327.     CrossRef
  • Sequential algorithm to stratify liver fibrosis risk in overweight/obese metabolic dysfunction-associated fatty liver disease
    Chi-Ho Lee, David Tak-Wai Lui, Raymond Hang-Wun Li, Michele Mae-Ann Yuen, Carol Ho-Yi Fong, Ambrose Pak-Wah Leung, Justin Chiu-Man Chu, Loey Lung-Yi Mak, Tai-Hing Lam, Jean Woo, Yu-Cho Woo, Aimin Xu, Hung-Fat Tse, Kathryn Choon-Beng Tan, Bernard Man-Yung
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Non-Invasive Measurement of Hepatic Fibrosis by Transient Elastography: A Narrative Review
    Luca Rinaldi, Chiara Giorgione, Andrea Mormone, Francesca Esposito, Michele Rinaldi, Massimiliano Berretta, Raffaele Marfella, Ciro Romano
    Viruses.2023; 15(8): 1730.     CrossRef
  • Metabolic dysfunction-associated fatty liver disease — How relevant is this to primary care physicians and diabetologists?
    Chi-Ho Lee
    Primary Care Diabetes.2022; 16(2): 245.     CrossRef
  • Non‐alcoholic fatty liver disease and type 2 diabetes: An update
    Chi‐H Lee, David TW Lui, Karen SL Lam
    Journal of Diabetes Investigation.2022; 13(6): 930.     CrossRef
  • Ultrasound-Based Hepatic Elastography in Non-Alcoholic Fatty Liver Disease: Focus on Patients with Type 2 Diabetes
    Georgiana-Diana Cazac, Cristina-Mihaela Lăcătușu, Cătălina Mihai, Elena-Daniela Grigorescu, Alina Onofriescu, Bogdan-Mircea Mihai
    Biomedicines.2022; 10(10): 2375.     CrossRef
Close layer

Endocrinol Metab : Endocrinology and Metabolism
TOP