Cardiovascular Diabetology最新文献

{"title":"Association of triglyceride-glucose related indices with mortality among individuals with MASLD combined with prediabetes or diabetes.","authors":"Yiheng Zhang, Juanli Wu, Tao Li, Yundong Qu, Yan Wang","doi":"10.1186/s12933-025-02616-9","DOIUrl":"10.1186/s12933-025-02616-9","url":null,"abstract":"<p><strong>Background: </strong>The prognostic significance of triglyceride-glucose (TyG)-related indices in individuals with metabolic dysfunction-associated steatotic liver disease (MASLD) combined with prediabetes or diabetes is not yet fully understood. In this study, we explored their predictive value for mortality in this specific population.</p><p><strong>Methods: </strong>Patients with MASLD were identified from the National Health and Nutrition Examination Survey (NHANES III) database. TyG and its related parameters [TyG-waist circumference (TyG-WC), TyG-waist-to-height ratio (TyG-WHtR), TyG-weight-adjusted waist index (TyG-WWI), and TyG-body mass index (TyG-BMI), ] were calculated. To examine the association between TyG-related indices and mortality risk, Cox regression models were utilized. Furthermore, we employed restricted cubic spline (RCS) analysis to investigate potential dose-response relationships. The predictive ability of the TyG indices for mortality was assessed by analyzing the time-dependent area under the curve (AUC).</p><p><strong>Results: </strong>In the cohort of patients with prediabetes or diabetes, 46.5% were diagnosed with MASLD. Over a median follow-up of 25.4 years, 1,163 individuals (53.9%) died, with 329 (15.3%) deaths attributed to cardiovascular causes and 78 (3.6%) to diabetes. Multivariate Cox regression models showed that TyG, TyG-BMI, TyG-WHtR, TyG-WWI, and TyG-WC were associated with all-cause and cardiovascular/diabetes-specific mortality. Furthermore, RCS analysis revealed a positive linear relationship between the TyG and TyG-WWI indices and all-cause mortality (p for nonlinear = 0.920; p = 0.525, respectively). In contrast, the TyG-WC, TyG-BMI, and TyG-WHtR indices exhibited a positive nonlinear association with all-cause mortality (p for nonlinear = 0.001; = 0.003; = 0.007, respectively). Time-dependent AUC curves demonstrated that the TyG-WWI index was the most robust predictor of both all-cause and cardiovascular mortality.</p><p><strong>Conclusions: </strong>Elevated levels of TyG, TyG-BMI, TyG-WHtR, TyG-WWI, and TyG-WC indices were associated with a poorer prognosis in MASLD patients with prediabetes or diabetes, with TyG-WWI being the strongest predictor.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"52"},"PeriodicalIF":8.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11786362/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143073971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between the cumulative estimated glucose disposal rate and incident cardiovascular disease in individuals over the age of 50 years and without diabetes: data from two large cohorts in China and the United States.","authors":"Jin Zhang, Ziyi Sun, Yufei Li, Yuhan Yang, Wenjie Liu, Mengwen Huang, Kuiwu Yao","doi":"10.1186/s12933-025-02575-1","DOIUrl":"10.1186/s12933-025-02575-1","url":null,"abstract":"<p><strong>Background: </strong>The estimated glucose disposal rate (eGDR) has been linked to incident cardiovascular disease (CVD) in individuals without diabetes. However, few studies have accounted for long-term cumulative eGDR exposure.</p><p><strong>Objective: </strong>The aim of this study was to explore whether long-term cumulative eGDR was independently associated with incident CVD in individuals over the age of 50 years and without diabetes.</p><p><strong>Methods: </strong>This study used data from the China Health and Retirement Longitudinal Study (CHARLS) and Health and Retirement Study (HRS). The cumulative eGDR was calculated as the summation of the average eGDR for each pair of consecutive examinations multiplied by the time between these two consecutive visits, in years. The outcome was incident CVD. Cox proportional hazards regression models and restricted cubic spline (RCS) regression models were used to evaluate the association between cumulative eGDR and incident CVD.</p><p><strong>Results: </strong>A total of 2430 participants from CHARLS and 2008 participants from HRS were included in the analysis. The median age of the participants in CHARLS at baseline was 59 years [IQR: 55-65 years], and 1205 (49.59%) were men. The median age of the participants in HRS at baseline was 64 years [IQR: 57-70 years], and 705 (35.11%) were men. The RCS regression model showed a negative and linear association between the cumulative eGDR and incidence of CVD (CHARLS: P < 0.001, P for nonlinearity = 0.248; HRS: P = 0.013, P for nonlinearity = 0.121). After multivariate adjustment, the higher levels of cumulative eGDR were independently associated with a lower risk of CVD (per SD, CHARLS: HR: 0.802, 95% CI: 0.716-0.898, HRS: HR: 0.791, 95% CI: 0.665-0.940, pooled analysis: HR: 0.799, 95% CI: 0.726-0.878).</p><p><strong>Conclusions: </strong>A lower level of cumulative eGDR was associated with an increased risk of incident CVD in individuals over the age of 50 years and without diabetes. Continuous monitoring of cumulative eGDR exposure over time, based on consideration of traditional risk factors, may prove beneficial for the early identification and intervention of individuals at high risk of CVD. In regions with limited healthcare resources, among individuals with limited ability to access, process, and understand health information and services, cumulative eGDR may offer improved clinical applicability.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"51"},"PeriodicalIF":8.5,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11786493/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143073970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between the atherogenic index of plasma and long-term risk of type 2 diabetes: a 12-year cohort study based on the Japanese population.","authors":"Qianxing Zhou, Yamei Wu, Mingkang Li","doi":"10.1186/s12933-025-02605-y","DOIUrl":"10.1186/s12933-025-02605-y","url":null,"abstract":"<p><strong>Background: </strong>Atherosclerotic dyslipidemia is associated with an increased risk of type 2 diabetes (T2D). Although previous studies have demonstrated an association between the atherogenic index of plasma (AIP) and insulin resistance, there remains a scarcity of large cohort studies investigating the association between AIP and the long-term risk of T2D in the general population. This study aims to investigate the potential association between AIP and the long-term risk of T2D in individuals with normal fasting plasma glucose levels.</p><p><strong>Methods: </strong>This retrospective cohort study included 15,453 participants. The AIP was calculated using the formula log [triglyceride (mmol/L)/high-density lipoprotein cholesterol (mmol/L)]. Cox proportional hazard regression models were employed to assess the association between AIP and T2D risk. The nonlinear association was examined using a restricted cubic spline (RCS) model.</p><p><strong>Results: </strong>During an average follow-up period of 6.05 years, 373 participants developed T2D. After adjusting for confounding factors, elevated AIP was independently associated with an increased risk of developing T2D (HR 1.763, 95%CI 1.210-2.568, P = 0.003). The RCS analysis revealed a J-shaped association between AIP and T2D risk, with a sharp increase in risk when AIP levels exceeded - 0.268. Moreover, time-dependent receiver operating characteristic analysis consistently demonstrated a moderate predictability of AIP for new-onset T2D within 1 to 12 years.</p><p><strong>Conclusion: </strong>The AIP exhibits a J-shaped association with the risk of developing T2D. Therefore, maintaining AIP levels below a certain threshold (-0.268) might help prevent the onset of T2D.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"50"},"PeriodicalIF":8.5,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11783948/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143064008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Relationship between changes in the triglyceride glucose-body mass index and frail development trajectory and incidence in middle-aged and elderly individuals: a national cohort study.","authors":"Kai Guo, Qi Wang, Lin Zhang, Rui Qiao, Yujia Huo, Lipeng Jing, Xiaowan Wang, Zixuan Song, Siyu Li, Jinming Zhang, Yanfang Yang, Jinli Mahe, Zhengran Liu","doi":"10.1186/s12933-024-02559-7","DOIUrl":"10.1186/s12933-024-02559-7","url":null,"abstract":"","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"49"},"PeriodicalIF":8.5,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11783790/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143064026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between triglyceride-glucose-body mass index and risk of aortic stenosis progression in patients with non-severe aortic stenosis: a retrospective cohort study.","authors":"Zhen Guo, Zhenyu Xiong, Lixiang He, Shaozhao Zhang, Xinghao Xu, Guanzhong Chen, Mengjie Xie, Wenjing Zhang, Ziwen Hui, Jiaying Li, Xinxue Liao, Xiaodong Zhuang","doi":"10.1186/s12933-025-02579-x","DOIUrl":"10.1186/s12933-025-02579-x","url":null,"abstract":"<p><strong>Background: </strong>Triglyceride-glucose-BMI (TyG-BMI) index is a surrogate marker of insulin resistance and an important predictor of cardiovascular disease. However, the predictive value of TyG-BMI index in the progression of non-severe aortic stenosis (AS) is still unclear.</p><p><strong>Methods: </strong>The present retrospective observational study was conducted using patient data from Aortic valve diseases RISk facTOr assessmenT andprognosis modeL construction (ARISTOTLE). A total of 190 patients were recruited from one-center. Patients were divided into two groups according to the cut-off value of TyG-BMI index (Ln[triglycerides (mg/dL)* glucose (mg/dL)/2]*BMI). Cox regression and restricted subgroup analysis were used to evaluate the association of TyG-BMI index and progression of non-severe AS.</p><p><strong>Results: </strong>A total of 190 patients (mean age 72.52 ± 11.97 years, 51.58% male) were included in the study. During a median follow-up period of 27.48 months, 44 participants experienced disease progression. The cut-off of the TyG-BMI index is 239. After fully adjusting for confounding factors, high TyG-BMI index group was associated with a 2.219-fold higher risk of aortic stenosis progression (HR 2.219, 95%CI 1.086-4.537, p = 0.029).</p><p><strong>Conclusion: </strong>TyG-BMI index was significantly associated with a higher risk of progression to non-severe AS. TyG-BMI index, as an effective alternative indicator of IR, can identify people at high risk of AS progression at an early stage of the disease, thereby improving the prognosis and reducing the socio-economic burden.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"46"},"PeriodicalIF":8.5,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11780774/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143064010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bone marrow mesenchymal stem cell-derived extracellular vesicles alleviate diabetes-exacerbated atherosclerosis via AMPK/mTOR pathway-mediated autophagy-related macrophage polarization.","authors":"Libo Liu, Ziyu An, Huan Zhang, Xueqi Wan, Xin Zhao, Xueyao Yang, Jinfan Tian, Xiantao Song","doi":"10.1186/s12933-025-02603-0","DOIUrl":"10.1186/s12933-025-02603-0","url":null,"abstract":"<p><strong>Introduction: </strong>Bone marrow-derived mesenchymal stem cell-derived extracellular vesicles (BMSC-EVs) are widely used for therapeutic purposes in preclinical studies. However, their utility in treating diabetes-associated atherosclerosis remains largely unexplored. Here, we aimed to characterize BMSC-EV-mediated regulation of autophagy and macrophage polarization.</p><p><strong>Methods: </strong>EVs were isolated from the supernatant of cultured BMSCs and characterized with transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA), and western blotting. A diabetes-related atherosclerotic ApoE^-/- mouse model was established through feeding with a high-fat diet (HFD) and streptozotocin (STZ). Histopathological analyses were carried out using Oil Red O, H&E, and Masson staining of the aorta. TEM and immunohistochemistry (IHC) were applied to evaluate autophagy, and immunofluorescence (IF) was used to identify macrophage polarization. RAW264.7 macrophages were induced with oxidized low-density lipoprotein (ox-LDL) and high glucose (HG), co-cultured with BMSC-EVs, and analyzed for macrophage proliferation, migration, and foam cell formation. RAW264.7 cells were transduced with autophagy marker mRFP-GFP-LC3 lentivirus and analyzed with IF and western blotting.</p><p><strong>Results: </strong>Diabetic mice (DA group) had larger aortic plaque areas and lower collagen content than the HFD mice. BMSC-EV treatment significantly reduced blood glucose, LDL levels, and aortic plaque areas while increasing collagen content. BMSC-EV-treated aortas contained a higher number of autophagosomes/autolysosomes, with increased expression of LC3BII correlating with decreased P62 levels and a lower proportion of M1 macrophages. In vitro, BMSC-EVs inhibited proliferation, migration, and foam cell formation in ox-LDL and HG-induced activated RAW264.7 cells. These effects were reversed by the autophagy blocker bafilomycin A1. Consistent with the in vivo findings, BMSC-EVs elevated levels of the autophagy-related protein LC3BII/I and decreased P62 in ox-LDL and HG-induced RAW264.7 cells. These cells also expressed the M1 macrophage markers CD86 and iNOS, but showed reduced expression of the M2 marker Arg-1. Further, BMSC-EVs decreased AMPKα and mTOR phosphorylation levels, which were blocked by the AMPK inhibitor compound C.</p><p><strong>Conclusions: </strong>BMSC-EVs attenuate diabetes-exacerbated atherosclerosis by inhibiting vascular macrophage proliferation, migration, and foam cell formation via AMPK/mTOR signaling-regulated autophagy and macrophage polarization. BMSC-EVs thus hold promise as therapeutic agents for atherosclerosis.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"48"},"PeriodicalIF":8.5,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11780875/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143064011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The triglyceride-glucose index and its obesity-related derivatives as predictors of all-cause and cardiovascular mortality in hypertensive patients: insights from NHANES data with machine learning analysis.","authors":"Chenyang Li, Zixi Zhang, Xiaoqin Luo, Yichao Xiao, Tao Tu, Chan Liu, Qiming Liu, Cancan Wang, Yongguo Dai, Zeying Zhang, Cheng Zheng, Jiafeng Lin","doi":"10.1186/s12933-025-02591-1","DOIUrl":"10.1186/s12933-025-02591-1","url":null,"abstract":"<p><strong>Background: </strong>Hypertension (HTN) is a global public health concern and a major risk factor for cardiovascular disease (CVD) and mortality. Insulin resistance (IR) plays a crucial role in HTN-related metabolic dysfunction, but its assessment remains challenging. The triglyceride-glucose (TyG) index and its derivatives (TyG-BMI, TyG-WC, and TyG-WHtR) have emerged as reliable IR markers. In this study, we evaluated their associations with all-cause and cardiovascular mortality in hypertensive patients using machine learning techniques.</p><p><strong>Methods: </strong>Data from 9432 hypertensive participants in the National Health and Nutrition Examination Survey (NHANES) 1999-2018 were analysed. Cox proportional hazards models and restricted cubic splines were employed to explore mortality risk and potential nonlinear relationships. Machine learning models were utilized to assess the predictive value of the TyG index and its derivatives for mortality outcomes.</p><p><strong>Results: </strong>The TyG index and its derivatives were independent predictors of both all-cause and cardiovascular mortality in hypertensive patients. The TyG-WHtR exhibited the strongest association, with each 1-unit increase linked to a 41.7% and 48.1% higher risk of all-cause and cardiovascular mortality, respectively. L-shaped relationships were observed between TyG-related indices and mortality. The incorporation of the TyG index or its derivatives into predictive models modestly improved the prediction performance for mortality outcomes.</p><p><strong>Conclusions: </strong>The TyG index and its derivatives are significant predictors of mortality in hypertensive patients. Their inclusion in predictive models enhances risk stratification and may aid in the early identification of high-risk individuals in this population. Further studies are needed to validate these findings in external hypertensive cohorts.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"47"},"PeriodicalIF":8.5,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11780913/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143064030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Glucagon like peptide-1 (GLP-1) agonists and cardiometabolic protection: historical development and future challenges.","authors":"Francisco Westermeier, Enrique Z Fisman","doi":"10.1186/s12933-025-02608-9","DOIUrl":"10.1186/s12933-025-02608-9","url":null,"abstract":"<p><p>Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have revolutionized the treatment of cardiometabolic diseases, extending their therapeutic applications far beyond glycemic control in type 2 diabetes (T2D) and obesity. This editorial synthesizes key milestones, from the discovery of GLP-1 to recent clinical trials highlighting the pleiotropic effects of GLP-1RAs in addressing the interconnected spectrum of cardiometabolic conditions, with a focus on cardiovascular, renal, and hepatic benefits. In addition, as GLP-1RAs continue to reshape the management of cardiometabolic disease and global public health, we discuss future challenges to better elucidate their mechanisms of cardiometabolic protection and maximize their therapeutic potential.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"44"},"PeriodicalIF":8.5,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11781064/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143064029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Multi-modal characterisation of early-stage, subclinical cardiac deterioration in patients with type 2 diabetes.","authors":"Ambre Bertrand, Andrew Lewis, Julia Camps, Vicente Grau, Blanca Rodriguez","doi":"10.1186/s12933-024-02563-x","DOIUrl":"10.1186/s12933-024-02563-x","url":null,"abstract":"","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"43"},"PeriodicalIF":8.5,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11780763/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143064024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Triglyceride-glucose index predicts adverse cardiovascular events in patients with H-type hypertension combined with coronary heart disease: a retrospective cohort study.","authors":"Changjiang Li, Shun Zhao, Yingkai Li, Songyuan He, Wen Jian, Yanci Liu, Zichao Cheng, Hongyu Peng","doi":"10.1186/s12933-024-02555-x","DOIUrl":"10.1186/s12933-024-02555-x","url":null,"abstract":"<p><strong>Background: </strong>The triglyceride‒glucose index (TyG index) is a reliable surrogate for insulin resistance (IR) in individuals with type 2 diabetes mellitus and is associated with cardiovascular disease. Recent studies have reported that H-type hypertension is likewise a predictor of adverse events in patients with coronary heart disease (CHD). However, the relationship between the TyG index and prognosis in patients with H-type hypertension combined with CHD has not yet been reported. In this study, we investigated the relationship between the TyG index and adverse outcomes in patients with H-type hypertension combined with CHD.</p><p><strong>Methods: </strong>This was a single-center retrospective cohort study that included patients who were diagnosed with H-type hypertension combined with CHD between 2018 and 2023 at Beijing Anzhen Hospital of Capital Medical University. The TyG index was divided into three groups according to tertiles. Kaplan-Meier curves were used to analyze the cumulative risk of major adverse cardiovascular events (MACEs), and ROC curve analysis was performed by the log-rank test. Cox proportional hazards regression models were adopted to explore the relationship between the TyG index and MACEs. C-statistics, NRI, and IDI were used to evaluate the incremental predictive ability of the TyG index.</p><p><strong>Results: </strong>A total of 546 patients were included, with a median follow-up time of 39.00 ± 0.69 months, and 73 MACEs occurred, with higher tertiles of the TyG index associated with a higher cumulative risk of MACEs (log-rank, P = 0.001). After adjusting for confounders, the fully adjusted ORs (95% CI) for T2 and T3 of the TyG index, with the lowest tertile as reference, were 1.64 (0.80-3.36) and 2.43 (1.19-4.97), respectively. The addition of the TyG index led to a significant improvement in the overall predictive power of the baseline model. [C-statistic increased from 0.63 to 0.66, p = 0.031; continuous NRI (95% CI) 0.13 (0.001-0.276), p = 0.038; IDI (95% CI) 0.01 (0.000-0.031), p = 0.047].</p><p><strong>Conclusion: </strong>The TyG index may be an independent risk factor for predicting adverse postoperative cardiovascular events in patients with H-type hypertension combined with CHD, indicating its potential significance in improving risk stratification strategies.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"45"},"PeriodicalIF":8.5,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11780827/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143064033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}