{"title":"The predictive value <i>of TyG</i> index for ischemic stroke in patients undergoing maintenance hemodialysis.","authors":"Yaqing Wang, Xiaojie He, Yuqing Wang, Xiaodong Li","doi":"10.3389/fmed.2025.1584674","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Triglyceride-glucose (TyG) index is strongly correlated with insulin resistance (IR). A plethora of studies has established the role of TyG index in cerebrovascular diseases. However, the predictive value of TyG index for new-onset ischemic stroke (IS) in maintenance hemodialysis (MHD) patients remains unclear. This study aims to explore the correlation between TyG index and the occurrence of IS in MHD patients.</p><p><strong>Methods: </strong>This study analyzed clinical data and cranial Computed Tomography results of patients undergoing MHD at Baoding First Central Hospital from January 2019 to January 2024. TyG index was calculated using fasting blood glucose and triglyceride levels. Univariate Logistic regression analysis was employed to identify factors associated with IS, incorporating variables with <i>P</i> < 0.05 into multivariate Logistic regression analysis, with results expressed as odds ratio (OR) and 95% confidence interval (95% CI). Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of TyG index for the occurrence of IS.</p><p><strong>Results: </strong>Triglyceride-glucose index in the IS group was significantly higher than that in the non-IS group, with a statistically significant difference [9.32 (8.87, 9.92) vs 8.59 (8.06, 9.12), <i>P</i> < 0.001]. Variables with <i>P</i> < 0.05 from the univariate Logistic regression analysis, along with clinically relevant variables, were included in the multivariate Logistic regression analysis, indicating that an elevated TyG index is a factor associated with IS in hemodialysis patients (OR = 2.09, 95% CI 1.073-3.781, <i>P</i> < 0.001). ROC curve analysis revealed that the optimal cutoff value of TyG index for diagnosing new-onset IS in MHD patients was 9.2, with an area under the curve of 0.75 (95% CI 0.70-0.79, <i>P</i> < 0.001). Restricted cubic spline analysis demonstrated a non-linear relationship between TyG index and risk (non-linear <i>p</i> = 0.010).</p><p><strong>Conclusion: </strong>Triglyceride-glucose index is significantly elevated in MHD patients with new-onset IS, serving as a potential risk factor for such events and offering valuable clinical diagnostic reference.</p>","PeriodicalId":12488,"journal":{"name":"Frontiers in Medicine","volume":"12 ","pages":"1584674"},"PeriodicalIF":3.1000,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12162943/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fmed.2025.1584674","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: Triglyceride-glucose (TyG) index is strongly correlated with insulin resistance (IR). A plethora of studies has established the role of TyG index in cerebrovascular diseases. However, the predictive value of TyG index for new-onset ischemic stroke (IS) in maintenance hemodialysis (MHD) patients remains unclear. This study aims to explore the correlation between TyG index and the occurrence of IS in MHD patients.
Methods: This study analyzed clinical data and cranial Computed Tomography results of patients undergoing MHD at Baoding First Central Hospital from January 2019 to January 2024. TyG index was calculated using fasting blood glucose and triglyceride levels. Univariate Logistic regression analysis was employed to identify factors associated with IS, incorporating variables with P < 0.05 into multivariate Logistic regression analysis, with results expressed as odds ratio (OR) and 95% confidence interval (95% CI). Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of TyG index for the occurrence of IS.
Results: Triglyceride-glucose index in the IS group was significantly higher than that in the non-IS group, with a statistically significant difference [9.32 (8.87, 9.92) vs 8.59 (8.06, 9.12), P < 0.001]. Variables with P < 0.05 from the univariate Logistic regression analysis, along with clinically relevant variables, were included in the multivariate Logistic regression analysis, indicating that an elevated TyG index is a factor associated with IS in hemodialysis patients (OR = 2.09, 95% CI 1.073-3.781, P < 0.001). ROC curve analysis revealed that the optimal cutoff value of TyG index for diagnosing new-onset IS in MHD patients was 9.2, with an area under the curve of 0.75 (95% CI 0.70-0.79, P < 0.001). Restricted cubic spline analysis demonstrated a non-linear relationship between TyG index and risk (non-linear p = 0.010).
Conclusion: Triglyceride-glucose index is significantly elevated in MHD patients with new-onset IS, serving as a potential risk factor for such events and offering valuable clinical diagnostic reference.
期刊介绍:
Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.
In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate
- the use of patient-reported outcomes under real world conditions
- the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines
- the scientific bases for guidelines and decisions from regulatory authorities
- access to medicinal products and medical devices worldwide
- addressing the grand health challenges around the world