Haiyan Jia, Weifeng Zhang, Shengqi Jia, Xinwei Jia, Shixin Kang
{"title":"急性st段抬高型心肌梗死患者甘油三酯-葡萄糖指数动态变化与预后的关系","authors":"Haiyan Jia, Weifeng Zhang, Shengqi Jia, Xinwei Jia, Shixin Kang","doi":"10.1186/s12933-025-02858-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The Triglyceride-Glucose (TyG) index is a surrogate marker of insulin resistance and has been associated with cardiovascular outcomes. However, most studies used single-timepoint measurements, failing to capture its dynamic changes after STEMI.</p><p><strong>Methods: </strong>In this retrospective cohort study, 1,092 STEMI patients undergoing PCI were followed for five years. TyG index was measured at baseline and at 3, 6, 9, and 12 months post-discharge. Group-Based Trajectory Modeling (GBTM) was used to identify TyG index trajectories. Cox regression and Kaplan-Meier analysis evaluated their association with major adverse cardiovascular events (MACE).</p><p><strong>Results: </strong>Three distinct TyG trajectories were identified: persistently high (n = 92), moderate (n = 196), and rapid decline (n = 804). The rapid decline group had significantly lower MACE incidence compared to the persistently high group (P < 0.001). TyG trajectory was an independent predictor of outcomes.</p><p><strong>Conclusion: </strong>Distinct TyG trajectories after STEMI are associated with long-term prognosis. A persistently high TyG trajectory indicates elevated cardiovascular risk, suggesting its potential role in secondary prevention.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"357"},"PeriodicalIF":10.6000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12403548/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association between dynamic changes in the triglyceride-glucose index and prognosis in patients with acute ST-segment elevation myocardial infarction.\",\"authors\":\"Haiyan Jia, Weifeng Zhang, Shengqi Jia, Xinwei Jia, Shixin Kang\",\"doi\":\"10.1186/s12933-025-02858-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The Triglyceride-Glucose (TyG) index is a surrogate marker of insulin resistance and has been associated with cardiovascular outcomes. However, most studies used single-timepoint measurements, failing to capture its dynamic changes after STEMI.</p><p><strong>Methods: </strong>In this retrospective cohort study, 1,092 STEMI patients undergoing PCI were followed for five years. TyG index was measured at baseline and at 3, 6, 9, and 12 months post-discharge. Group-Based Trajectory Modeling (GBTM) was used to identify TyG index trajectories. Cox regression and Kaplan-Meier analysis evaluated their association with major adverse cardiovascular events (MACE).</p><p><strong>Results: </strong>Three distinct TyG trajectories were identified: persistently high (n = 92), moderate (n = 196), and rapid decline (n = 804). The rapid decline group had significantly lower MACE incidence compared to the persistently high group (P < 0.001). TyG trajectory was an independent predictor of outcomes.</p><p><strong>Conclusion: </strong>Distinct TyG trajectories after STEMI are associated with long-term prognosis. A persistently high TyG trajectory indicates elevated cardiovascular risk, suggesting its potential role in secondary prevention.</p>\",\"PeriodicalId\":9374,\"journal\":{\"name\":\"Cardiovascular Diabetology\",\"volume\":\"24 1\",\"pages\":\"357\"},\"PeriodicalIF\":10.6000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12403548/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cardiovascular Diabetology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12933-025-02858-7\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cardiovascular Diabetology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12933-025-02858-7","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Association between dynamic changes in the triglyceride-glucose index and prognosis in patients with acute ST-segment elevation myocardial infarction.
Background: The Triglyceride-Glucose (TyG) index is a surrogate marker of insulin resistance and has been associated with cardiovascular outcomes. However, most studies used single-timepoint measurements, failing to capture its dynamic changes after STEMI.
Methods: In this retrospective cohort study, 1,092 STEMI patients undergoing PCI were followed for five years. TyG index was measured at baseline and at 3, 6, 9, and 12 months post-discharge. Group-Based Trajectory Modeling (GBTM) was used to identify TyG index trajectories. Cox regression and Kaplan-Meier analysis evaluated their association with major adverse cardiovascular events (MACE).
Results: Three distinct TyG trajectories were identified: persistently high (n = 92), moderate (n = 196), and rapid decline (n = 804). The rapid decline group had significantly lower MACE incidence compared to the persistently high group (P < 0.001). TyG trajectory was an independent predictor of outcomes.
Conclusion: Distinct TyG trajectories after STEMI are associated with long-term prognosis. A persistently high TyG trajectory indicates elevated cardiovascular risk, suggesting its potential role in secondary prevention.
期刊介绍:
Cardiovascular Diabetology is a journal that welcomes manuscripts exploring various aspects of the relationship between diabetes, cardiovascular health, and the metabolic syndrome. We invite submissions related to clinical studies, genetic investigations, experimental research, pharmacological studies, epidemiological analyses, and molecular biology research in this field.