Bingqi Fu, Yan Zeng, Man Wang, Lin Zhao, Lin Sun, Tianjie Wang, Junle Dong, Weixian Yang, Wei Hua
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Multivariate Cox proportional analysis and restricted cubic splines (RCS) were used to determine the association between the TyG index and MACE. Receiver operating characteristic (ROC) curves were used to determine the optimal threshold value of the TyG index for predicting MACE.</p><p><strong>Results: </strong>This study enrolled 293 patients with both CAD and psoriasis, including 258 (88.1%) males with a mean age of 58.89 ± 9.61 years. Patients were divided into four groups based on the TyG quartiles: Q1 (N = 74), Q2 (N = 73), Q3 (N = 73), and Q4 (N = 73). After adjusting for the potential confounders, the TyG index was independently associated with MACE, both as a continuous variable (HR = 1.53, 95% CI = 1.03-2.28, P = 0.035) and as a categorical variable (Q1: reference; Q2: HR = 1.85, 95% CI = 0.88-3.87, P = 0.105; Q3: HR = 2.39, 95% CI = 1.14-5.00, P = 0.021; Q4: HR = 2.19, 95% CI = 1.001-4.81, P = 0.0497; P for trend = 0.039). RCS analysis showed an linear association between the TyG index and MACE (P-overall = 0.027, P-non-linear = 0.589). ROC curve analysis showed that the TyG index of ≥ 8.73 was the optimal threshold value (area under the ROC curve = 0.60, 95% CI 0.53-0.67). TyG index ≥ 8.73 was significantly associated with MACE (HR = 2.10, 95% CI = 1.32-3.34, P = 0.002). After adjustment for confounders, the TyG index showed independent association with MACE (HR = 2.00, 95% CI = 1.17-3.42, P = 0.011).</p><p><strong>Conclusions: </strong>The TyG index showed a positive linear correlation with MACE in patients with both CAD and psoriasis. The TyG index of ≥ 8.73 might be the optimal threshold for predicting MACE.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11290256/pdf/","citationCount":"0","resultStr":"{\"title\":\"The triglyceride-glucose index is a predictor of major adverse cardiovascular events in patients with coronary artery disease and psoriasis: a retrospective cohort study.\",\"authors\":\"Bingqi Fu, Yan Zeng, Man Wang, Lin Zhao, Lin Sun, Tianjie Wang, Junle Dong, Weixian Yang, Wei Hua\",\"doi\":\"10.1186/s13098-024-01423-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The association between the triglyceride-glucose (TyG) index and clinical outcomes in patients with both coronary artery disease (CAD) and psoriasis is unclear. This study investigated the association between the TyG index and major adverse cardiovascular events (MACE) in patients with both CAD and psoriasis.</p><p><strong>Methods: </strong>This retrospective cohort study included patients diagnosed with both CAD and psoriasis who underwent coronary angiography at the Fuwai Hospital, Beijing, China, between January 2017 and May 2022. The study endpoint was the occurrence of MACE or end of follow-up time. Multivariate Cox proportional analysis and restricted cubic splines (RCS) were used to determine the association between the TyG index and MACE. Receiver operating characteristic (ROC) curves were used to determine the optimal threshold value of the TyG index for predicting MACE.</p><p><strong>Results: </strong>This study enrolled 293 patients with both CAD and psoriasis, including 258 (88.1%) males with a mean age of 58.89 ± 9.61 years. Patients were divided into four groups based on the TyG quartiles: Q1 (N = 74), Q2 (N = 73), Q3 (N = 73), and Q4 (N = 73). After adjusting for the potential confounders, the TyG index was independently associated with MACE, both as a continuous variable (HR = 1.53, 95% CI = 1.03-2.28, P = 0.035) and as a categorical variable (Q1: reference; Q2: HR = 1.85, 95% CI = 0.88-3.87, P = 0.105; Q3: HR = 2.39, 95% CI = 1.14-5.00, P = 0.021; Q4: HR = 2.19, 95% CI = 1.001-4.81, P = 0.0497; P for trend = 0.039). RCS analysis showed an linear association between the TyG index and MACE (P-overall = 0.027, P-non-linear = 0.589). ROC curve analysis showed that the TyG index of ≥ 8.73 was the optimal threshold value (area under the ROC curve = 0.60, 95% CI 0.53-0.67). TyG index ≥ 8.73 was significantly associated with MACE (HR = 2.10, 95% CI = 1.32-3.34, P = 0.002). After adjustment for confounders, the TyG index showed independent association with MACE (HR = 2.00, 95% CI = 1.17-3.42, P = 0.011).</p><p><strong>Conclusions: </strong>The TyG index showed a positive linear correlation with MACE in patients with both CAD and psoriasis. 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引用次数: 0
摘要
背景:冠状动脉疾病(CAD)和银屑病患者的甘油三酯-葡萄糖(TyG)指数与临床结果之间的关系尚不清楚。本研究调查了同时患有冠状动脉疾病(CAD)和银屑病的患者的甘油三酯-葡萄糖(TyG)指数与主要不良心血管事件(MACE)之间的关系:这项回顾性队列研究纳入了2017年1月至2022年5月期间在中国北京阜外医院接受冠状动脉造影术的同时确诊患有CAD和银屑病的患者。研究终点为发生MACE或随访时间结束。研究采用多变量考克斯比例分析和限制性立方样条(RCS)来确定TyG指数与MACE之间的关系。采用接收者操作特征曲线(ROC)确定预测MACE的最佳TyG指数阈值:该研究共纳入了 293 例同时患有 CAD 和银屑病的患者,其中男性 258 例(88.1%),平均年龄为 58.89 ± 9.61 岁。根据 TyG 四分位数将患者分为四组:Q1组(74人)、Q2组(73人)、Q3组(73人)和Q4组(73人)。调整潜在混杂因素后,无论是作为连续变量(HR = 1.53,95% CI = 1.03-2.28,P = 0.035)还是作为分类变量(Q1:参考值;Q2:HR = 1.85,95% CI = 0.88-3.87,P = 0.105;Q3:HR = 2.39,95% CI = 1.14-5.00,P = 0.021;Q4:HR = 2.19,95% CI = 1.001-4.81,P = 0.0497;趋势 P = 0.039)。RCS分析显示,TyG指数与MACE之间存在线性关系(总P=0.027,非线性P=0.589)。ROC 曲线分析显示,TyG 指数≥ 8.73 是最佳阈值(ROC 曲线下面积 = 0.60,95% CI 0.53-0.67)。TyG指数≥8.73与MACE显著相关(HR = 2.10,95% CI = 1.32-3.34,P = 0.002)。对混杂因素进行调整后,TyG指数与MACE呈独立相关性(HR = 2.00,95% CI = 1.17-3.42,P = 0.011):TyG指数与CAD和银屑病患者的MACE呈正线性关系。TyG指数≥8.73可能是预测MACE的最佳阈值。
The triglyceride-glucose index is a predictor of major adverse cardiovascular events in patients with coronary artery disease and psoriasis: a retrospective cohort study.
Background: The association between the triglyceride-glucose (TyG) index and clinical outcomes in patients with both coronary artery disease (CAD) and psoriasis is unclear. This study investigated the association between the TyG index and major adverse cardiovascular events (MACE) in patients with both CAD and psoriasis.
Methods: This retrospective cohort study included patients diagnosed with both CAD and psoriasis who underwent coronary angiography at the Fuwai Hospital, Beijing, China, between January 2017 and May 2022. The study endpoint was the occurrence of MACE or end of follow-up time. Multivariate Cox proportional analysis and restricted cubic splines (RCS) were used to determine the association between the TyG index and MACE. Receiver operating characteristic (ROC) curves were used to determine the optimal threshold value of the TyG index for predicting MACE.
Results: This study enrolled 293 patients with both CAD and psoriasis, including 258 (88.1%) males with a mean age of 58.89 ± 9.61 years. Patients were divided into four groups based on the TyG quartiles: Q1 (N = 74), Q2 (N = 73), Q3 (N = 73), and Q4 (N = 73). After adjusting for the potential confounders, the TyG index was independently associated with MACE, both as a continuous variable (HR = 1.53, 95% CI = 1.03-2.28, P = 0.035) and as a categorical variable (Q1: reference; Q2: HR = 1.85, 95% CI = 0.88-3.87, P = 0.105; Q3: HR = 2.39, 95% CI = 1.14-5.00, P = 0.021; Q4: HR = 2.19, 95% CI = 1.001-4.81, P = 0.0497; P for trend = 0.039). RCS analysis showed an linear association between the TyG index and MACE (P-overall = 0.027, P-non-linear = 0.589). ROC curve analysis showed that the TyG index of ≥ 8.73 was the optimal threshold value (area under the ROC curve = 0.60, 95% CI 0.53-0.67). TyG index ≥ 8.73 was significantly associated with MACE (HR = 2.10, 95% CI = 1.32-3.34, P = 0.002). After adjustment for confounders, the TyG index showed independent association with MACE (HR = 2.00, 95% CI = 1.17-3.42, P = 0.011).
Conclusions: The TyG index showed a positive linear correlation with MACE in patients with both CAD and psoriasis. The TyG index of ≥ 8.73 might be the optimal threshold for predicting MACE.
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.