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Publication Name World Journal of Gastroenterology
Manuscript ID 113319
Country China
Category Gastroenterology & Hepatology
Manuscript Type Letter to the Editor
Article Title Clinical implications of a dynamic nomogram for predicting sepsis in acute liver failure
Manuscript Source Invited Manuscript
All Author List Shi-Yan Zhang and Jin-Bao Shi
Funding Agency and Grant Number
Corresponding Author Jin-Bao Shi, Dean, President, Professor, Department of Nephrology, Fuding Hospital, Fujian University of Traditional Chinese Medicine, No. 16 Donghu Road, Ningde 355200, Fujian Province, China. 1301803387@qq.com
Key Words Acute liver failure; Risk prediction; Predictive model; Intensive care; Biomarkers; Dynamic nomogram
Core Tip This letter highlights the development and validation of a dynamic nomogram for predicting sepsis risk in patients with acute liver failure. The sepsis in acute liver failure model shows robust discrimination, consistently outperforming the sequential organ failure assessment and systemic inflammatory response syndrome scores, which have been validated across both Western and Chinese intensive care unit cohorts. Future work should incorporate longitudinal clinical variables, integrate infection-related biomarkers, and pursue multicenter validation to further enhance clinical utility.
Citation Zhang SY, Shi JB. Clinical implications of a dynamic nomogram for predicting sepsis in acute liver failure. World J Gastroenterol 2025; In press
Received
2025-08-22 08:09
Peer-Review Started
2025-08-22 08:09
First Decision by Editorial Office Director
2025-11-04 09:38
Return for Revision
2025-11-04 09:38
Revised
2025-11-14 10:13
Publication Fee Transferred
Second Decision by Editor
2025-12-22 02:39
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2025-12-22 07:06
Articles in Press
2025-12-22 07:06
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1007-9327 (print) and 2219-2840 (online)
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: http://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
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