{"title":"The prognostic value of the triglyceride-glucose index in predicting recurrence of acute pancreatitis: a retrospective cohort study.","authors":"Lihui Lin, Yansong Lin, Xin Ling, Zewen Zhang, Xianwen Guo, Zhen Ding","doi":"10.1186/s12986-025-00956-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Investigating the risk of acute pancreatitis (AP) recurrence is crucial because it affects public health and medical resources. The triglyceride-glucose index (TyG-i) is recognized as a reliable marker of insulin resistance (IR), which occurs after an AP attack. However, the predictive value of the TyG-i during the first AP for subsequent recurrence remains unclear.</p><p><strong>Methods: </strong>Patients with their first AP episode between January 2014 and December 2023 were followed up retrospectively. Data on demographic characteristics, imaging findings, and laboratory examinations of their first episode and recurrences were collected. The TyG-i was calculated as follows: ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. Factors associated with AP were evaluated using Cox regression analyses.</p><p><strong>Results: </strong>A total of 853 patients were enrolled in our study, 180 (21.1%) of whom experienced a recurrence after the first AP episode. The recurrence rate was higher in the high TyG-i index group (n = 111, 26.0%) than in the low TyG-i index group (n = 69, 16.2%; P < 0.001). Cox regression analyses revealed TyG-i as an independent predictor of AP recurrence in all etiologies (hazard ratio [HR] = 1.535, P = 0.007), as well as for the recurrence of acute biliary pancreatitis (HR = 1.829, P = 0.035).</p><p><strong>Conclusion: </strong>TyG-i status at the first AP episode could independently predict recurrence.</p>","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":"22 1","pages":"55"},"PeriodicalIF":3.9000,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12139168/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition & Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12986-025-00956-7","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Investigating the risk of acute pancreatitis (AP) recurrence is crucial because it affects public health and medical resources. The triglyceride-glucose index (TyG-i) is recognized as a reliable marker of insulin resistance (IR), which occurs after an AP attack. However, the predictive value of the TyG-i during the first AP for subsequent recurrence remains unclear.
Methods: Patients with their first AP episode between January 2014 and December 2023 were followed up retrospectively. Data on demographic characteristics, imaging findings, and laboratory examinations of their first episode and recurrences were collected. The TyG-i was calculated as follows: ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. Factors associated with AP were evaluated using Cox regression analyses.
Results: A total of 853 patients were enrolled in our study, 180 (21.1%) of whom experienced a recurrence after the first AP episode. The recurrence rate was higher in the high TyG-i index group (n = 111, 26.0%) than in the low TyG-i index group (n = 69, 16.2%; P < 0.001). Cox regression analyses revealed TyG-i as an independent predictor of AP recurrence in all etiologies (hazard ratio [HR] = 1.535, P = 0.007), as well as for the recurrence of acute biliary pancreatitis (HR = 1.829, P = 0.035).
Conclusion: TyG-i status at the first AP episode could independently predict recurrence.
期刊介绍:
Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects.
The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases.
Key areas we wish to encourage submissions from include:
-how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes;
-the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components;
-how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved;
-how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.