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ORIGINAL RESEARCH article
Front. Immunol.
Sec. Inflammation
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1526122
This article is part of the Research Topic Acute Pancreatitis Infection: Epidemiology, Prevention, Clinical Characteristics, Treatment, and Prediction: Volume II View all articles
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Objective: Effective early diagnosis and timely intervention in acute pancreatitis (AP) are essential for improving patient outcomes. This study aims to evaluate the clinical utility of the neutrophil CD64 index (nCD64) in stratifying patients with SAP and assessing mortality risk.Methods: A total of 302 AP patients were enrolled and divided into a training cohort (n = 226) and a validation cohort (n = 76). Venous blood samples were collected within 24 hours of admission, and the nCD64 index was measured via flow cytometry. Other clinical parameters, including C-reactive protein (CRP) and procalcitonin (PCT), were also recorded. Logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic value of the nCD64 index and its capacity to predict mortality risk.Results: ROC curve analysis identified a cutoff value of 1.45 for the nCD64 index. Patients with nCD64 > 1.45 had significantly higher risks of complications, including systemic inflammatory response syndrome (SIRS), acute respiratory distress syndrome (ARDS), multiple organ failure (MOF), and death. Over 65% of patients with acute pancreatitis (AP) can be effectively risk-stratified at a low cost, and it has been demonstrated that AP patients with an nCD64 value ≤ 1.45 have an extremely low mortality rate (no mortality in present training and validation cohort). Kaplan-Meier survival analysis revealed a significant survival difference between high-risk (nCD64 > 1.45) and low-risk groups (p < 0.001).The nCD64 index is an effective tool for early identification of SAP patients, allowing for the classification of over 65% of cases as low-risk for mortality.
Keywords: acute pancreatitis, Severe acute pancreatitis, Neutrophil CD64 index, risk stratification, Death prediction
Received: 11 Nov 2024; Accepted: 31 Mar 2025.
Copyright: © 2025 Shao, Wu, Huang, Ouyang, Peng, Liu, Xu, Yi, Liu, Li, Ding, Wang, Tan and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Jia Wang, Hunan Provincial Key Laboratory of Emergency and Critical Care Metabolomics, Changsha, Anhui Province, China
Chaochao Tan, Hunan Provincial People's Hospital, Changsha, China
Ying Huang, Department of Emergency, Hunan Provincial People's Hospital, Changsha, 410005, Anhui Province, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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