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March 1, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

The association between inflammatory indices and acute pancreatitis severity: a retrospective cohort study

HMHuicong MaNLN LiHZHeng Zhang

Key Points

  • This study aims to evaluate 12 inflammatory biomarkers for their ability to predict severity in acute pancreatitis.
  • Retrospective cohort study of 1,981 hospitalized acute pancreatitis patients from January 2018 to December 2023.
  • Patients classified into mild acute pancreatitis and moderate-to-severe/severe groups according to Atlanta criteria.
  • Twelve inflammatory indices calculated, with multivariate logistic regression applied to assess their associations with severity.
  • ROC curves and restricted cubic splines used to evaluate predictive performance and relationships of biomarkers.
  • Nine biomarkers significantly associated with the risk of moderate-to-severe/severe acute pancreatitis.
  • Highest predictive value observed for C-reactive protein-to-calcium ratio (CCR), with odds ratio (OR) of 4.84.
  • CCRs accuracy measured at AUC of 0.768, highlighting its efficacy in prediction.
  • Critical threshold identified at CCR = 15 for significant risk association.

Abstract

Background Acute pancreatitis (AP) is a heterogeneous inflammatory disease, with ∼20% of patients progressing to moderate-to-severe (MSAP) or severe AP (SAP), conditions associated with high mortality. Early risk stratification is therefore critical. This study systematically evaluated and compared 12 inflammatory biomarkers for predicting AP severity. Methods This retrospective cohort included 1,981 hospitalized AP patients (January 2018-December 2023). According to the revised Atlanta criteria, patients were classified into mild AP (MAP, n = 1,058) and MSAP/SAP ( n = 923) groups. Twelve inflammatory indices—monocyte-to-lymphocyte ratio (MLR), lymphocyte-to-monocyte ratio (LMR), C-reactive protein-to-albumin ratio (CAR), C-reactive protein-albumin-lymphocyte index (CALLY), C-reactive protein-to-calcium ratio (CCR), C-reactive protein-to-lymphocyte ratio (CLR), red cell distribution width-to-albumin ratio (RDW/Alb), neutrophil-to-albumin ratio (NAR), systemic inflammatory response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII)—were calculated. A multivariate logistic regression model adjusted for 28 covariates. ROC curves assessed predictive performance; restricted cubic splines (RCS) explored nonlinear relationships; and threshold effect analysis was conducted for the highest-performing biomarker. Results In the fully adjusted model, nine biomarkers were significantly associated with MSAP/SAP risk: MLR (OR = 1.29, 95%CI: 1.15–1.45), LMR (OR = 0.75, 95%CI: 0.66–0.85), CAR (OR = 3.82, 95%CI: 3.18–4.64), CALLY (OR = 0.56, 95%CI: 0.49–0.64), CCR (OR = 4.84, 95%CI: 3.98–5.96), CLR (OR = 2.12, 95%CI: 1.84–2.46), RDW/Alb (OR = 1.74, 95%CI: 1.54–1.99), NAR (OR = 1.44, 95%CI: 1.27–1.64), and SIRI (OR = 1.29, 95%CI: 1.15–1.46). CCR demonstrated the highest observed accuracy (AUC = 0.768, 95%CI: 0.737–0.799). Threshold effect analysis revealed a nonlinear association, with an inflection point at 15: no significant association was observed below this threshold (OR = 1.015, P = 0.558), whereas risk significantly increased above it (OR = 1.212, P 0.001). Conclusion Among 12 inflammatory biomarkers, CCR showed the strongest predictive value for MSAP/SAP, with a critical threshold of 15. As an easily obtainable marker, CCR may serve as a practical early warning tool to guide clinical management and risk stratification in AP.

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Cite This Study

Ma et al. (2026) studied this question.

synapsesocial.com/papers/69a3d747ec16d51705d2dc73https://doi.org/10.3389/fsurg.2026.1764029
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Also Consider

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  1. 1Systemic Inflammation Indices as Early Predictors of Severity in Acute Pancreatitis2025
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  5. 5C-reactive protein/lymphocyte ratio as a prognostic biomarker in acute pancreatitis: a cross-sectional study assessing disease severity2024 · 20 citations