ArticleBMC gastroenterology2024
An inflammation-based model for identifying severe acute pancreatitis: a single-center retrospective study.
Article in BMC gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Association of platelet-lymphocyte ratio with acute pancreatitis severity: systematic review and meta-analysis.BMC gastroenterology · 2025Pooled it
- Neutrophil-to-lymphocyte ratio for primary risk stratification in acute pancreatitis: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Predictive Value of Naples Prognostic Score in Determining the Prognosis of Acute Pancreatitis-A Single-Center Experience.Journal of clinical medicine · 2026Article
- Review
- A clinical study on the application of new inflammatory markers SII, SIRI, AISI, and MII in the identification of severe acute pancreatitis.Frontiers in medicine · 2026Article
- Predicting the acute pancreatitis severity with multi-machine learning models: constructing an online prediction platform.Frontiers in cellular and infection microbiology · 2026Article
- The association between inflammatory indices and acute pancreatitis severity: a retrospective cohort study.Frontiers in surgery · 2026Article
- Systemic Inflammation Indices as Early Predictors of Severity in Acute Pancreatitis.Journal of clinical medicine · 2025Article
- Prediction of acute pancreatitis severity using NLR, procalcitonin, and CT severity score: A retrospective study.Medicine · 2025Article
- Review
- Evaluation of scoring systems and hematological parameters in the severity stratification of early-phase acute pancreatitis.World journal of gastroenterology · 2025Observational
- Effect of octreotide combined with ulinastatin on the creatinine-to-albumin ratio and systemic immune-inflammation index in patients with severe acute pancreatitis.American journal of translational research · 2025Article
- A Novel NPR48-Based Model for Early Prediction of Severe Acute Pancreatitis: Development and Multicenter Validation in Comparison with Traditional Clinical Scores.Journal of inflammation research · 2025Article
- The Value of Systemic Inflammatory Index and Nutritional Marker in Predicting Acute Calculus Cholecystitis and Its Severity.Journal of inflammation research · 2025Article
- The early biomarker of immature granulocyte count in predicting right-side colonic complicated acute diverticulitis: a retrospective cohort study.BMC gastroenterology · 2024Article
- Predictive Value of Troponin I, Creatinine Kinase Isoenzyme and the New Japanese Severity Score in Severe Acute Pancreatitis.Patient preference and adherence · 2024Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsSevere acute pancreatitis (SAP) is potentially lethal. Considering the role of inflammation in the progression of acute pancreatitis (AP), this study aims to develop a model based on inflammatory indexes for identifying the presence of SAP.
methodsOverall, 253 patients with AP who were consecutively admitted between July 2018 and November 2020 were screened, of whom 60 had SAP. Systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), neutrophil-to-platelet ratio (NPR), systemic inflammation response index (SIRI), platelet-to-albumin ratio (PAR), C-reactive protein-to-albumin ratio (CAR), C-reactive protein-to-lymphocyte ratio (CLR), and triglyceride glucose (TyG) index were calculated. Multivariate logistic regression analyses were performed to identify independent risk factors of SAP. Then, inflammation-based models were established. Receiver operating characteristics (ROC) curve analyses were performed. Area under ROC curve (AUROC) was calculated.
resultsDiabetes mellitus, fatty liver, high white blood cell count (WBC), C-reactive protein (CRP), red blood cell distribution width (RDW), procalcitonin (PCT), SII, NLR, NPR, CAR, CLR, and TyG index, and a low LMR were significantly associated with SAP. Considering the collinearity among these variables, 10 multivariate logistic regression analyses were separately performed. Finally, four independent inflammation-based models were established. Of them, the best one, which was calculated as follows: 1.204*fatty liver (yes = 1; no = 0) + 0.419*PCT + 0.005*CLR - 2.629, had an AUROC of 0.795 with a specificity of 73.4% and a sensitivity of 71.7%.
conclusionThe inflammation-based model consisting of fatty liver, PCT, and CLR has a good diagnostic performance for SAP.
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