{"title":"甘油三酯葡萄糖指数-体重指数作为不同糖代谢状态下h型高血压患者冠状动脉疾病严重程度的预测因子","authors":"Lian Wang, Zijin Li, Rui Qiu, Li Luo, Xisheng Yan","doi":"10.1186/s13098-024-01568-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The triglyceride glucose-body mass index (TyG-BMI) is considered to be a reliable surrogate marker of insulin resistance (IR). However, limited evidence exists regarding its association with the severity of coronary artery disease (CAD), particularly in hypertensive patients with different glucose metabolic states, including those with H-type hypertension. This study aimed to investigate the relationship between TyG-BMI and CAD severity across different glucose metabolism conditions.</p><p><strong>Methods: </strong>This retrospective cohort study included 1537 hypertensive patients who underwent coronary angiography. The TyG-BMI was categorized into tertiles and analyzed using logistic regression models and restricted cubic spline (RCS) models to assess its association with multi-vessel CAD. Receiver operating characteristic (ROC) curves were used to evaluate the predictive value of TyG-BMI in detecting the severity of CAD in different glucose metabolism states, including normal glucose regulation (NGR), pre-diabetes mellitus (Pre-DM), and diabetes mellitus (DM). The above method has also been applied to populations of H-type hypertension patients.</p><p><strong>Results: </strong>The TyG-BMI was significantly associated with the severity of multi-vessel CAD in hypertensive patients (Odds ratio [OR] 1.043, 95% CI 1.032-1.053). In the diabetic subgroup, after adjusting for risk factors, the risk of multi-vessel CAD in the T3 groups was 3.836-fold (95% CI 1.763-8.347; P = 0.001) higher than in the T1 group, with a non-linear dose-response relationship (P for non-linearity = 0.017). In H-type hypertension patients, the TyG-BMI was also significantly correlated with multi-vessel CAD (OR 5.248, 95% CI 1.821-15.126, P = 0.002) in the DM group. The ROC analysis revealed that TyG-BMI had the highest predictive value for multi-vessel CAD in diabetic patients, with an AUC of 0.720 (95% CI 0.661-0.780, P < 0.001).</p><p><strong>Conclusions: </strong>The TyG-BMI serves as a robust predictor of CAD severity in hypertensive patients, particularly those with diabetes and H-type hypertension. And the non-linear dose-response relationship between TyG-BMI and multi-vessel CAD in diabetic patients underscores its potential clinical utility. This index could serve as a valuable tool for the early identification of individuals at high risk.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"15"},"PeriodicalIF":3.4000,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11734521/pdf/","citationCount":"0","resultStr":"{\"title\":\"Triglyceride glucose index-body mass index as a predictor of coronary artery disease severity in patients with H-type hypertension across different glucose metabolic states.\",\"authors\":\"Lian Wang, Zijin Li, Rui Qiu, Li Luo, Xisheng Yan\",\"doi\":\"10.1186/s13098-024-01568-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The triglyceride glucose-body mass index (TyG-BMI) is considered to be a reliable surrogate marker of insulin resistance (IR). However, limited evidence exists regarding its association with the severity of coronary artery disease (CAD), particularly in hypertensive patients with different glucose metabolic states, including those with H-type hypertension. This study aimed to investigate the relationship between TyG-BMI and CAD severity across different glucose metabolism conditions.</p><p><strong>Methods: </strong>This retrospective cohort study included 1537 hypertensive patients who underwent coronary angiography. The TyG-BMI was categorized into tertiles and analyzed using logistic regression models and restricted cubic spline (RCS) models to assess its association with multi-vessel CAD. Receiver operating characteristic (ROC) curves were used to evaluate the predictive value of TyG-BMI in detecting the severity of CAD in different glucose metabolism states, including normal glucose regulation (NGR), pre-diabetes mellitus (Pre-DM), and diabetes mellitus (DM). The above method has also been applied to populations of H-type hypertension patients.</p><p><strong>Results: </strong>The TyG-BMI was significantly associated with the severity of multi-vessel CAD in hypertensive patients (Odds ratio [OR] 1.043, 95% CI 1.032-1.053). In the diabetic subgroup, after adjusting for risk factors, the risk of multi-vessel CAD in the T3 groups was 3.836-fold (95% CI 1.763-8.347; P = 0.001) higher than in the T1 group, with a non-linear dose-response relationship (P for non-linearity = 0.017). In H-type hypertension patients, the TyG-BMI was also significantly correlated with multi-vessel CAD (OR 5.248, 95% CI 1.821-15.126, P = 0.002) in the DM group. The ROC analysis revealed that TyG-BMI had the highest predictive value for multi-vessel CAD in diabetic patients, with an AUC of 0.720 (95% CI 0.661-0.780, P < 0.001).</p><p><strong>Conclusions: </strong>The TyG-BMI serves as a robust predictor of CAD severity in hypertensive patients, particularly those with diabetes and H-type hypertension. And the non-linear dose-response relationship between TyG-BMI and multi-vessel CAD in diabetic patients underscores its potential clinical utility. This index could serve as a valuable tool for the early identification of individuals at high risk.</p>\",\"PeriodicalId\":11106,\"journal\":{\"name\":\"Diabetology & Metabolic Syndrome\",\"volume\":\"17 1\",\"pages\":\"15\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-01-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11734521/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diabetology & Metabolic Syndrome\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13098-024-01568-6\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetology & Metabolic Syndrome","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13098-024-01568-6","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
摘要
背景:甘油三酯葡萄糖体重指数(TyG-BMI)被认为是胰岛素抵抗(IR)的可靠替代指标。然而,关于其与冠状动脉疾病(CAD)严重程度的关系,特别是在不同糖代谢状态的高血压患者,包括h型高血压患者中,证据有限。本研究旨在探讨不同糖代谢条件下TyG-BMI与冠心病严重程度的关系。方法:本回顾性队列研究纳入1537例行冠状动脉造影的高血压患者。将TyG-BMI分为几类,并使用逻辑回归模型和限制三次样条(RCS)模型进行分析,以评估其与多血管CAD的关系。采用受试者工作特征(ROC)曲线评价TyG-BMI在不同糖代谢状态下(正常葡萄糖调节(NGR)、糖尿病前期(Pre-DM)、糖尿病前期(DM))检测冠心病严重程度的预测价值。上述方法也适用于h型高血压患者人群。结果:高血压患者TyG-BMI与多血管冠心病严重程度显著相关(优势比[OR] 1.043, 95% CI 1.032-1.053)。在糖尿病亚组中,调整危险因素后,T3组发生多血管冠心病的风险为3.836倍(95% CI 1.763-8.347;P = 0.001)高于T1组,呈非线性剂量-反应关系(非线性P = 0.017)。在h型高血压患者中,DM组TyG-BMI与多血管CAD也有显著相关性(OR 5.248, 95% CI 1.821-15.126, P = 0.002)。ROC分析显示,TyG-BMI对糖尿病患者多血管CAD的预测价值最高,AUC为0.720 (95% CI 0.661-0.780)。结论:TyG-BMI可作为高血压患者CAD严重程度的可靠预测因子,尤其是糖尿病和h型高血压患者。而TyG-BMI与糖尿病患者多血管CAD之间的非线性剂量-反应关系强调了其潜在的临床应用价值。该指标可作为早期识别高危人群的宝贵工具。
Triglyceride glucose index-body mass index as a predictor of coronary artery disease severity in patients with H-type hypertension across different glucose metabolic states.
Background: The triglyceride glucose-body mass index (TyG-BMI) is considered to be a reliable surrogate marker of insulin resistance (IR). However, limited evidence exists regarding its association with the severity of coronary artery disease (CAD), particularly in hypertensive patients with different glucose metabolic states, including those with H-type hypertension. This study aimed to investigate the relationship between TyG-BMI and CAD severity across different glucose metabolism conditions.
Methods: This retrospective cohort study included 1537 hypertensive patients who underwent coronary angiography. The TyG-BMI was categorized into tertiles and analyzed using logistic regression models and restricted cubic spline (RCS) models to assess its association with multi-vessel CAD. Receiver operating characteristic (ROC) curves were used to evaluate the predictive value of TyG-BMI in detecting the severity of CAD in different glucose metabolism states, including normal glucose regulation (NGR), pre-diabetes mellitus (Pre-DM), and diabetes mellitus (DM). The above method has also been applied to populations of H-type hypertension patients.
Results: The TyG-BMI was significantly associated with the severity of multi-vessel CAD in hypertensive patients (Odds ratio [OR] 1.043, 95% CI 1.032-1.053). In the diabetic subgroup, after adjusting for risk factors, the risk of multi-vessel CAD in the T3 groups was 3.836-fold (95% CI 1.763-8.347; P = 0.001) higher than in the T1 group, with a non-linear dose-response relationship (P for non-linearity = 0.017). In H-type hypertension patients, the TyG-BMI was also significantly correlated with multi-vessel CAD (OR 5.248, 95% CI 1.821-15.126, P = 0.002) in the DM group. The ROC analysis revealed that TyG-BMI had the highest predictive value for multi-vessel CAD in diabetic patients, with an AUC of 0.720 (95% CI 0.661-0.780, P < 0.001).
Conclusions: The TyG-BMI serves as a robust predictor of CAD severity in hypertensive patients, particularly those with diabetes and H-type hypertension. And the non-linear dose-response relationship between TyG-BMI and multi-vessel CAD in diabetic patients underscores its potential clinical utility. This index could serve as a valuable tool for the early identification of individuals at high risk.
期刊介绍:
Diabetology & Metabolic Syndrome publishes articles on all aspects of the pathophysiology of diabetes and metabolic syndrome.
By publishing original material exploring any area of laboratory, animal or clinical research into diabetes and metabolic syndrome, the journal offers a high-visibility forum for new insights and discussions into the issues of importance to the relevant community.