Retrospective Cohort Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Exp Med. Dec 20, 2023; 13(5): 115-122
Published online Dec 20, 2023. doi: 10.5493/wjem.v13.i5.115
Red cell distribution width: A predictor of the severity of hypertriglyceridemia-induced acute pancreatitis
Yong-Cai Lv, Yan-Hua Yao, Juan Zhang, Yu-Jie Wang, Jing-Jing Lei
Yong-Cai Lv, Department of Gastroenterology, Zhenning Buyi and Miao Autonomous County People’s Hospital, Zhenning 561200, Guizhou Province, China
Yan-Hua Yao, Juan Zhang, Yu-Jie Wang, Department of Gastroenterology, The Affiliated Baiyun Hospital of Guizhou Medical University, Guiyang 550014, Guizhou Province, China
Jing-Jing Lei, Department of Geriatric Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang 550014, Guizhou Province, China
Author contributions: Lv YC and Lei JJ designed the study; Lv YC, Yao YH, Zhang J, and Wang YJ, participated in the acquisition, analysis, and interpretation of the data; Lv YC wrote the manuscript; Lei JJ revised the article.
Supported by the Science and Technology Program of Guiyang Baiyun District Science and Technology Bureau. No. [2017] 50; Science and Technology Program of Guiyang Municipal Bureau of Science and Technology, No. [2018] 1-72; and Science and Technology Fund Project of Guizhou Provincial Health Commission, No. gzwkj2021-127.
Institutional review board statement: This study was reviewed and approved by the Science and Research Office of the Affiliated Baiyun Hospital of Guizhou Medical University.
Informed consent statement: Patients’ consent for inclusion was waived owing to the retrospective nature of the study.
Conflict-of-interest statement: There are no conflicts of interest to report.
Data sharing statement: No additional data are available.
STROBE statement: The authors have read the STROBE Statement—checklist of items, and the manuscript was prepared and revised according to the STROBE Statement—checklist of items.
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: Jing-Jing Lei, PhD, Doctor, Department of Geriatric Medicine, The Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang 550004, Guizhou Province, China. lycyyh0325@163.com
Received: August 31, 2023
Peer-review started: August 31, 2023
First decision: October 9, 2023
Revised: October 19, 2023
Accepted: October 30, 2023
Article in press: October 30, 2023
Published online: December 20, 2023
Processing time: 109 Days and 15 Hours
ARTICLE HIGHLIGHTS
Research background

In clinical settings, compared with patients with other causes of acute pancreatitis (AP), those with hypertriglyceridemia-induced acute pancreatitis (HTG-AP) commonly suffer from severe acute pancreatitis; therefore, it is critical to identify severe HTG-AP early. However, current clinical scoring systems and biochemical parameters are not efficient for predicting HTG-AP severity.

Research motivation

Red cell distribution width (RDW) may be closely associated with the mortality of patients with AP. Meanwhile, clinical application of the bedside index for severity in acute pancreatitis (BISAP) is limited by its low sensitivity. Therefore, new parameters or scoring systems are warranted for determining HTG-AP severity early.

Research objectives

To determine whether RDW can be used as a potential biomarker for predicting POF in HTG-AP.

Research methods

We explored the relationship between RDW and POF in patients with HTG-AP and determined the cutoff value of RDW using ROC analysis. BISAP plus RDW improved the suboptimal sensitivity of BISAP when RDW was ≥ 13.1% and one point was added to the BISAP.

Research results

On admission, RDW was significantly higher in patients with HTG-AP and POF. Compared with BISAP and Ranson criteria, BISAP plus RDW had a higher accuracy for predicting POF in HTG-AP patients.

Research conclusions

BISAP plus RDW exhibited a promising predictive value for POF in HTG-AP patients, despite its low specificity.

Research perspectives

The combination of BISAP and other indicators may better predict HTG-AP severity. However, additional large-scale, multicenter prospective studies are required to verify the results.