An inflammation-based model for identifying severe acute pancreatitis: a single-center retrospective study

作者：Xiaotong Li, Yiyan Zhang, Weiwei Wang, Yao Meng, Huimin Chen, Guiyang Chu, Hongyu Li, Xingshun Qi · 发表于：BMC Gastroenterology · 年份：2024 · DOI：10.1186/s12876-024-03148-4 · 被引用次数：21 · 研究领域：Pancreatitis Pathology and Treatment、Inflammatory Biomarkers in Disease Prognosis、COVID-19 Clinical Research Studies

BACKGROUND AND AIMS: Severe 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. METHODS: Overall, 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. RESULTS: Diabetes 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 inflammati...