Prognostic Value of Inflammatory Biochemical Markers (IL-8, PCT, CRP) for Cardiovascular Disease in Patients with Pancreatitis

Biochemical Markers Predicting CVD in Pancreatitis

  • Zaili Yang Graduate School, Guizhou Medical University
  • Dejun Cui Department of Gastroenterology, National Institute of Drug Clinical Trials, Guizhou Provincial People's Hospital
  • Fei Li Department of Gastroenterology, National Institute of Drug Clinical Trials, Guizhou Provincial People's Hospital
  • Bo Huang Department of Gastroenterology, National Institute of Drug Clinical Trials, Guizhou Provincial People's Hospital
  • Qi Liu Department of Gastroenterology, Guizhou Medical University
DOI: https://doi.org/10.5937/jomb0-61324
Keywords: pancreatitis, cardiovascular disease, inflammatory biomarkers, clinical biochemistry, prediction model

Abstract


Background: Patients with pancreatitis may be at increased risk of cardiovascular disease (CVD), but the biochemical mechanisms underlying this risk are not fully defined. Inflammatory biomarkers may provide valuable prognostic information.

Methods: We retrospectively analyzed 180 patients with pancreatitis (Jan 2021–Dec 2023). Serum levels of interleukin-8 (IL-8), procalcitonin (PCT), tumor necrosis factor-α (TNF-α), and C-reactive protein (CRP) were quantified using enzyme-linked immunosorbent assay (ELISA) and routine laboratory tests. Logistic regression was applied to identify independent biochemical predictors of CVD, and a risk prediction model was developed and validated using ROC curve analysis.

Results: IL-8, PCT, CRP, and age emerged as independent predictors of CVD occurrence in pancreatitis patients (all P<0.05). The biochemical prediction model demonstrated high accuracy, with an AUC of 0.893 in the training set and 0.978 in the validation set. Sensitivity and specificity exceeded 85% across datasets.

Conclusion: This study highlights the clinical and laboratory significance of inflammatory biomarkers in pancreatitis. The proposed biochemical model provides a reliable tool for predicting cardiovascular risk and may contribute to improved laboratory-guided risk assessment and patient management.

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Published
2025/09/25
Issue
Ahead of print
Section
Original paper

Copyright (c) 2025 Zaili Yang, Dejun Cui, Fei Li, Bo Huang, Qi Liu

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