Retrospective Study
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. May 14, 2024; 30(18): 2440-2453
Published online May 14, 2024. doi: 10.3748/wjg.v30.i18.2440
FibroScan-aspartate transaminase: A superior non-invasive model for diagnosing high-risk metabolic dysfunction-associated steatohepatitis
Jing-Ya Yin, Tian-Yuan Yang, Bing-Qing Yang, Chen-Xue Hou, Jun-Nan Li, Yue Li, Qi Wang
Jing-Ya Yin, Tian-Yuan Yang, Bing-Qing Yang, Qi Wang, Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
Chen-Xue Hou, Yue Li, Department of Pathology, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
Jun-Nan Li, Beijing institute of infectious disease, Beijing 100015, China
Yue Li, Qi Wang, Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
Author contributions: Yin JY and Yang TY contributed equally to this work; Wang Q and Li Y provided idea for this research and were co-corresponding authors; Yin JY, Yang TY, Yang BQ, Hou CX and Li Y critically revised the manuscript; Yin JY, Yang TY and Wang Q wrote the manuscript and performed the statistical analyses; Li JN performed a rigorous biostatistical review of the statistical methods presented in the manuscript; All authors read and approved the final manuscript.
Supported by National Natural Science Foundation of China, No. 82170591; and Natural Science Foundation of Beijing, No. 7222097.
Institutional review board statement: The study was reviewed and approved by the Beijing Ditan Hospital, Capital Medical University Institutional Review Board.
Informed consent statement: This is a retrospective study, and informed consent is waived.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: All data collected during the study are available from the corresponding author at wangqidl04@ccmu.edu.cn.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Qi Wang, MD, PhD, Associate Professor, Associate Research Scientist, Chief Physician, Doctor, Teacher, Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing 100015, China. wangqidl04@ccmu.edu.cn
Received: January 15, 2024
Revised: March 19, 2024
Accepted: April 25, 2024
Published online: May 14, 2024
Processing time: 116 Days and 22.3 Hours
Core Tip

Core Tip: Patients with high-risk metabolic dysfunction-associated steatohepatitis (MASH) are more likely to develop cirrhosis or hepatocellular carcinoma. Early diagnosis, particularly without a liver biopsy, presents significant challenges. Exploring non-invasive models may increase detection efficiency. Although metabolic dysfunction-associated steatotic liver disease originates from non-alcoholic fatty liver disease, patient cohorts do not entirely overlap. Our study validated the concordance between these two distinct populations. To determine the effective replacement of liver biopsy with non-invasive models for diagnosing high-risk MASH, we utilized existing data to select seven diagnostic methods and assessed their diagnostic value for high-risk MASH.