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©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Sep 7, 2022; 28(33): 4846-4860
Published online Sep 7, 2022. doi: 10.3748/wjg.v28.i33.4846
Published online Sep 7, 2022. doi: 10.3748/wjg.v28.i33.4846
Development and validation of a risk prediction score for the severity of acute hypertriglyceridemic pancreatitis in Chinese patients
Zi-Yu Liu, Li-Jie Hao, Wen-Wen Shen, Yan-Qiu Gao, Hui-Hong Zhai, Department of Gastroenterology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
Lei Tian, Department of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center, Los Angeles, CA 91010, United States
Xiang-Yao Sun, Department of Orthopedics, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
Zong-Shi Liu, Department of Geriatric, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510180, Guangdong Province, China
Author contributions: Liu ZY and Zhai HH designed the current study as the principal investigators; Liu ZY and Tian L were involved in the study conception and design; Hao LJ, Shen WW and Gao YQ collected data; Liu ZY, Sun XY and Liu ZS drafted the plans for the data analyses, conducted statistical analyses and interpreted the data; Liu ZY drafted the manuscript; Tian L was responsible for language editing; All authors were involved in interpretation of the results and revision of the manuscript, and all approved the final version of the manuscript, the corresponding author attests that all the listed authors meet the authorship criteria and that no others meeting the criteria have been omitted.
Supported by 2021 National Natural Youth Cultivation Project of Xuanwu Hospital of Capital Medical University , No. QNPY2021018 .
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of the Xuanwu Hospital of Capital Medical University, No. 2022102.
Informed consent statement: Written informed consent was waived considering the retrospective study design.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: The clinical data was available from the corresponding author at zhaihuihong@263.net. And no additional data are available.
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: Hui-Hong Zhai, MD, PhD, Chief Physician, Doctor, Professor, Department of Gastroenterology, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing 100053, China. zhaihuihong@263.net
Received: June 12, 2022
Peer-review started: June 12, 2022
First decision: July 12, 2022
Revised: July 25, 2022
Accepted: August 16, 2022
Article in press: August 16, 2022
Published online: September 7, 2022
Processing time: 80 Days and 6.1 Hours
Peer-review started: June 12, 2022
First decision: July 12, 2022
Revised: July 25, 2022
Accepted: August 16, 2022
Article in press: August 16, 2022
Published online: September 7, 2022
Processing time: 80 Days and 6.1 Hours
Core Tip
Core Tip: A risk prediction score (referred to as AAP), including age, the level of apolipoprotein A1 and the presence of pleural effusion, was first built to predict the severity of acute hypertriglyceridemic pancreatitis in Chinese patients. After calibration and verification, this score was shown to have high predictive accuracy and good performance. The risk score could help identify patients who are likely to develop severe acute pancreatitis at an early stage. In comparison with other scores, these scores showed improved accuracy in predicting and better net benefits for clinical decisions. AAP could be of great value in guiding clinical decisions as a convenient and specific tool.