Gao X, Guo XY, Yang LB, Wei ZC, Zhang P, Wang YT, Liu CY, Zhang DY, Wang Y. Letter to editor ‘Non-invasive model for predicting high-risk esophageal varices based on liver and spleen stiffness’. World J Hepatol 2023; 15(11): 1250-1252 [PMID: 38075007 DOI: 10.4254/wjh.v15.i11.1250]
Corresponding Author of This Article
Yan Wang, MD, Assistant Professor, Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 of Xiwu Road, Xi'an 710004, Shaanxi Province, China. sarrye@163.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Letter to the Editor
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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: http://creativecommons.org/licenses/by-nc/4.0/
World J Hepatol. Nov 27, 2023; 15(11): 1250-1252 Published online Nov 27, 2023. doi: 10.4254/wjh.v15.i11.1250
Letter to editor ‘Non-invasive model for predicting high-risk esophageal varices based on liver and spleen stiffness’
Xin Gao, Xiao-Yan Guo, Long-Bao Yang, Zhong-Cao Wei, Pan Zhang, Ya-Tao Wang, Chen-Yu Liu, Dan-Yang Zhang, Yan Wang
Xin Gao, Xiao-Yan Guo, Long-Bao Yang, Zhong-Cao Wei, Pan Zhang, Ya-Tao Wang, Chen-Yu Liu, Dan-Yang Zhang, Yan Wang, Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China
Author contributions: Gao X contributed to this work; Guo XY, Wei ZC, Liu CY wrote this letter; Yang LB, Zhang P, Zhang DY edited this letter, and Wang YT and Wang Y revised this letter.
Supported bythe Shaanxi Provincial Key Research and Development Plan, No. 2020SF-159.
Conflict-of-interest statement: All the authors declare that they have no conflict of interest.
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: Yan Wang, MD, Assistant Professor, Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 of Xiwu Road, Xi'an 710004, Shaanxi Province, China. sarrye@163.com
Received: October 7, 2023 Peer-review started: October 7, 2023 First decision: October 12, 2023 Revised: October 25, 2023 Accepted: November 13, 2023 Article in press: November 13, 2023 Published online: November 27, 2023 Processing time: 47 Days and 14.5 Hours
Abstract
This letter to the editor relates to the study entitled "Non-invasive model for predicting high-risk esophageal varices based on liver and spleen stiffness". Acute bleeding caused by esophageal varices is a life-threatening complication in patients with liver cirrhosis. Due to the discomfort, contraindications, and associated complications of upper gastrointestinal endoscopy screening, it is crucial to identify an imaging-based non-invasive model for predicting high-risk esophageal varices in patients with cirrhosis.
Core Tip: Liver cirrhosis is the end of chronic liver disease. Rupture of esophageal varices (EVs) is a common and potentially fatal complication in patients with cirrhosis. In clinical practice, prophylactic treatment is primarily used to prevent events of esophageal venous bleeding, however, this strategy requires invasive and expensive upper gastrointestinal endoscopy testing, leading to poor patient adherence. In recent years, several studies have demonstrated an association between EVs and liver stiffness measurement (LSM) as well as spleen stiffness measurement (SSM). The main objectives of this paper are to elucidate the differences between EVs, SSM, and LSM and explore the feasibility of using LSM and SSM to develop a non-invasive model for predicting high-risk esophageal varices.
