ArticleFrontiers in nutrition2025
Value of the systemic immunoinflammatory index, nutritional risk index, and triglyceride-glucose index in predicting the condition and prognosis of patients with hypertriglyceridemia-associated acute pancreatitis.
Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The Global Immune-Nutrition-Inflammation Index (GINI) in Acute Pancreatitis Severity Assessment: A Comparative Study.Digestive diseases and sciences · 2026Article
- Development and validation of a predictive model for the severity of hyperlipidemic acute pancreatitis based on the bedside index for severity in acute pancreatitis and metabolic score for insulin resistance: A retrospective cohort study.The Journal of international medical research · 2026Article
- Construction of a nomogram for hypertriglyceridemic severe acute pancreatitis that includes metabolic indexes.Lipids in health and disease · 2025Article
- Review
- Construction of a predictive model for severe hypertriglyceridemia-associated acute pancreatitis using machine learning.American journal of translational research · 2025Article
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6 authors.
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Abstract
Objective: The study aimed to investigate the function and prognosis of pancreatitis in patients with hypertriglyceridemia-associated acute pancreatitis (HTGAP), as assessed by the systemic immunoinflammatory index (SII), nutritional risk index (NRI), and triglyceride-glucose index (TyG). Methods: A total of 300 patients with HTGAP who were admitted to the General Hospital of Ningxia Medical University from January 2022 to June 2023 were selected. These patients were divided into three groups based on the severity of their condition: the mild acute pancreatitis (MAP) group, the moderate-to-severe acute pancreatitis (MSAP) group, and the severe acute pancreatitis (SAP) group. The SII, NRI, and TyG index in the three groups were recorded and compared. The value of these indices in predicting the occurrence of HTGAP was analyzed using a receiver operating characteristic (ROC) curve. Results: The SII and TyG index values in the SAP group (3259.4 ± 2795.8, 4.5 ± 1.1) were higher than those in the MSAP group (2563.7 ± 1614.1, 4.3 ± 0.8) and MAP group (1991.1 ± 1566.8, 4.1 ± 0.8), and the difference was statistically significant ( Conclusion: The SII, NRI, and TyG index are related to the severity of HTGAP, and a combination of the three can better predict the occurrence of SAP.
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