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Wang YF, Kong XH, Tao HM, Tao L. Triglyceride-Glucose Index as a Predictor of Major Adverse Cardiovascular Events in Post-PCI Patients Diagnosed with In-Stent Restenosis. Diabetes Metab Syndr Obes 2024; 17:2737-2746. [PMID: 39072346 PMCID: PMC11283261 DOI: 10.2147/dmso.s464490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 06/18/2024] [Indexed: 07/30/2024] Open
Abstract
Background The triglyceride-glucose index (TyG) is a reliable indicator for predicting the prognosis of patients with coronary heart disease (CAD) after percutaneous coronary intervention (PCI). However, its influence on patients with in-stent restenosis (ISR) is unclear. This study was designed to evaluate the association between the TyG index and the occurrence of major adverse cardiovascular events (MACEs) after PCI in patients with ISR. Methods This retrospective study included 1654 patients who underwent PCI between 2016 and 2022 at Nanjing First Hospital. Patients were stratified into three groups based on the quantile level of the TyG index. The TyG index was determined as Ln (triglycerides [mg/dL] × fasting plasma glucose [mg/dL]/2). Results Individuals with the highest TyG index showed an increased risk of MACEs compared to those with the lowest level of the TyG index (HR 1.60; 95% CI 1.11-2.30; P = 0.01). When analyzing the TyG index as a continuous variable, each standard deviation increase was associated with an HR of 1.51 (95% CI: 1.11-2.05; P = 0.01). For the male subgroup and the diabetes subgroup, this trend was even more pronounced (HR 1.269; 95% CI 1.055-1.527; P = 0.011; HR 1.385; 95% CI 1.125-1.706; P = 0.002). Additionally, the landmark analysis showed that patients with the highest level of TyG had an increased risk of MACEs 6 months after the PCI (P = 0.019). Conclusion Elevated TyG index is associated with increased risk of adverse cardiovascular events in patients with ISR, and the extent of increase in the risk is more significant in male patients with diabetes.
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Affiliation(s)
- Yi-fei Wang
- Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210000, People’s Republic of China
| | - Xiao-han Kong
- Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210000, People’s Republic of China
| | - Hui-min Tao
- Jiangsu Women and Children Health Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210000, People’s Republic of China
| | - Li Tao
- Nanjing Medical University, Nanjing, Jiangsu, 210000, People’s Republic of China
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Mirjalili SR, Soltani S, Meybodi ZH, Marques-Vidal P, Firouzabadi DD, Eshraghi R, Restrepo D, Ghoshouni H, Sarebanhassanabadi M. Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach. Cardiovasc Diabetol 2024; 23:214. [PMID: 38907271 PMCID: PMC11193173 DOI: 10.1186/s12933-024-02306-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 06/16/2024] [Indexed: 06/23/2024] Open
Abstract
BACKGROUND Various surrogate markers of insulin resistance have been developed, capable of predicting coronary artery disease (CAD) without the need to detect serum insulin. For accurate prediction, they depend only on glucose and lipid profiles, as well as anthropometric features. However, there is still no agreement on the most suitable one for predicting CAD. METHODS We followed a cohort of 2,000 individuals, ranging in age from 20 to 74, for a duration of 9.9 years. We utilized multivariate Cox proportional hazard models to investigate the association between TyG-index, TyG-BMI, TyG-WC, TG/HDL, plus METS-IR and the occurrence of CAD. The receiver operating curve (ROC) was employed to compare the predictive efficacy of these indices and their corresponding cutoff values for predicting CAD. We also used three distinct embedded feature selection methods: LASSO, Random Forest feature selection, and the Boruta algorithm, to evaluate and compare surrogate markers of insulin resistance in predicting CAD. In addition, we utilized the ceteris paribus profile on the Random Forest model to illustrate how the model's predictive performance is affected by variations in individual surrogate markers, while keeping all other factors consistent in a diagram. RESULTS The TyG-index was the only surrogate marker of insulin resistance that demonstrated an association with CAD in fully adjusted model (HR: 2.54, CI: 1.34-4.81). The association was more prominent in females. Moreover, it demonstrated the highest area under the ROC curve (0.67 [0.63-0.7]) in comparison to other surrogate indices for insulin resistance. All feature selection approaches concur that the TyG-index is the most reliable surrogate insulin resistance marker for predicting CAD. Based on the Ceteris paribus profile of Random Forest the predictive ability of the TyG-index increased steadily after 9 with a positive slope, without any decline or leveling off. CONCLUSION Due to the simplicity of assessing the TyG-index with routine biochemical assays and given that the TyG-index was the most effective surrogate insulin resistance index for predicting CAD based on our results, it seems suitable for inclusion in future CAD prevention strategies.
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Affiliation(s)
- Seyed Reza Mirjalili
- Yazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Sepideh Soltani
- Yazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | | | - Pedro Marques-Vidal
- Department of Internal Medicine, BH10-642, Rue du Bugnon 46, Rue du Bugnon 46, Lausanne, CH-1011, Switzerland
| | | | - Reza Eshraghi
- Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran
| | - David Restrepo
- Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA
- Telematics Department, University of Cauca, Popayán, Cauca, Colombia
| | - Hamed Ghoshouni
- Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammadtaghi Sarebanhassanabadi
- Yazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
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Liu H, Wang L, Wang H, Hao X, Du Z, Li C, Hou X. The association of triglyceride-glucose index with major adverse cardiovascular and cerebrovascular events after acute myocardial infarction: a meta-analysis of cohort studies. Nutr Diabetes 2024; 14:39. [PMID: 38844442 PMCID: PMC11156940 DOI: 10.1038/s41387-024-00295-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 05/02/2024] [Accepted: 05/15/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Insulin resistance (IR) is indicated to be linked with adverse outcomes of acute myocardial infarction (AMI), for its pro-inflammatory and pro-thromboplastic function. The triglyceride-glucose (TyG) index is a newly developed substitute marker for IR. The aim of this pooled analysis was to provide a summary of the relationship of TyG index with occurrences of major adverse cardiovascular and cerebrovascular events (MACCEs) among populations suffering from AMI. METHODS Cohorts reporting multivariate-adjusted hazard ratios of TyG index with MACCEs or its independent events were identified through systematically searching PubMed, MEDLINE, Web of science, Embase and Cochrane databases. Results were combined using a random-effects model. RESULTS 21 cohorts comprising 20403 individuals were included. Compared to individuals in the lowest TyG category, patients in the highest TyG category exhibited elevated risks of both MACCEs (P < 0.00001) and all-cause death (P < 0.00001). These findings were in line with the results as TyG analyzed as continuous variables (MACCEs: P = 0.006; all-cause death: P < 0.00001). Subgroup analysis demonstrated that diabetic status, type of AMI, nor the reperfusion therapy did not destruct this correlation (for subgroups, all P < 0.05). CONCLUSION All these indicated that higher TyG index could potentially predict MACCEs and all-cause death in patients with AMI as an independent indicator.
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Affiliation(s)
- Huiruo Liu
- Centre for Cardiac Intensive Care, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Liangshan Wang
- Centre for Cardiac Intensive Care, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Hong Wang
- Centre for Cardiac Intensive Care, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xing Hao
- Centre for Cardiac Intensive Care, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Zhongtao Du
- Centre for Cardiac Intensive Care, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Chenglong Li
- Centre for Cardiac Intensive Care, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xiaotong Hou
- Centre for Cardiac Intensive Care, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
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Hao B, Lyu L, Xu J, Zhu X, Xu C, Gao W, Qin J, Huang T, Ding Y, Zhang Z, Yang Y, Liu H. The relationship between triglyceride-glucose index and prospective key clinical outcomes in patients hospitalised for coronary artery disease. Cardiovasc Diabetol 2024; 23:40. [PMID: 38254088 PMCID: PMC10804527 DOI: 10.1186/s12933-024-02132-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index is regarded as a dependable alternative for assessing insulin resistance (IR), given its simplicity, cost-effectiveness, and strong correlation with IR. The relationship between the TyG index and adverse outcomes in patients with coronary heart disease (CHD) is not well established. This study examines the association of the TyG index with long-term adverse outcomes in hospitalized CHD patients. METHODS In this single-center prospective cohort study, 3321 patients hospitalized with CHD were included. Multivariate Cox regression models were employed to assess the associations between the TyG index and the incidence of all-cause mortality and major adverse cardiovascular events (MACEs). To examine potential nonlinear associations, restricted cubic splines and threshold analysis were utilized. RESULTS During a follow-up period of 9.4 years, 759 patients (22.9%) succumbed to mortality, while 1291 (38.9%) experienced MACEs. Threshold analysis demonstrated a significant "U"-shaped nonlinear relationship with MACEs, with different hazard ratios observed below and above a TyG index of 8.62 (below: HR 0.71, 95% CI 0.50-0.99; above: HR 1.28, 95% CI 1.10-1.48). Notably, an increased risk of all-cause mortality was observed only when the TyG index exceeded 8.77 (HR 1.53, 95% CI 1.19-1.96). CONCLUSIONS This study reveals a nonlinear association between the TyG index and both all-cause mortality and MACEs in hospitalized CHD patients with CHD. Assessing the TyG index, particularly focusing on individuals with extremely low or high TyG index values, may enhance risk stratification for adverse outcomes in this patient population.
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Affiliation(s)
- Benchuan Hao
- Department of Cardiology, The Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Lyu Lyu
- Department of Cardiology, The Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Juan Xu
- Department of General Surgery, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, China
| | | | - Cui Xu
- Department of Medical Administration, The 305 Hospital of PLA, Beijing, China
| | - Weiyang Gao
- Department of Cardiology, The Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Ji Qin
- Department of Cardiology, The Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Taoke Huang
- Department of Cardiology, The Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yipu Ding
- Department of Cardiology, The Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Ziyue Zhang
- Outpatient Department, Hospital of PLA, Hanzhong, China
| | - Yanhui Yang
- Department of Cardiology, The Second Medical Center, Chinese PLA General Hospital, Beijing, China.
| | - Hongbin Liu
- Department of Cardiology, The Second Medical Center, Chinese PLA General Hospital, Beijing, China.
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Zhang Y, Zhang C, Jiang L, Xu L, Tian J, Zhao X, Wang D, Zhang Y, Sun K, Zhang C, Xu B, Zhao W, Hui R, Gao R, Wang J, Feng X, Yuan J, Song L. An elevated triglyceride-glucose index predicts adverse outcomes and interacts with the treatment strategy in patients with three-vessel disease. Cardiovasc Diabetol 2023; 22:333. [PMID: 38057801 DOI: 10.1186/s12933-023-02063-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 11/13/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Insulin resistance is a pivotal risk factor for cardiovascular diseases, and the triglyceride-glucose (TyG) index is a well-established surrogate of insulin resistance. This study aimed to investigate the prognostic value of the TyG index and its ability in therapy guidance in patients with three-vessel disease (TVD). METHODS A total of 8862 patients with TVD with available baseline TyG index data were included in the study. The endpoint was major adverse cardiac events (MACE). All patients received coronary artery bypass grafting (CABG), percutaneous coronary intervention (PCI), or medical therapy (MT) alone reasonably. RESULTS An elevated TyG index was defined as the TyG index greater than 9.51. During a median follow-up of 7.5 years, an elevated TyG index was significantly associated with an increased risk of MACE (adjusted hazard ratio 1.161, 95% confidence interval 1.026-1.314, p = 0.018). The elevated TyG index was shown to have a more pronounced predictive value for MACE in patients with diabetes, but failed to predict MACE among those without diabetes, whether they presented with stable angina pectoris (SAP) or acute coronary syndrome (ACS). Meanwhile, the association between an elevated TyG index and MACE was also found in patients with left main involvement. Notably, CABG conferred a significant survival advantage over PCI in patients with a normal TyG index, but was not observed to be superior to PCI in patients with an elevated TyG index unless the patients had both ACS and diabetes. In addition, the benefit was shown to be similar between MT and revascularisation among patients with SAP and an elevated TyG index. CONCLUSIONS The TyG index is a potential indicator for risk stratification and therapeutic decision-making in patients with TVD.
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Affiliation(s)
- Yu Zhang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Ce Zhang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Lin Jiang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Lianjun Xu
- Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Jian Tian
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Xueyan Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Dong Wang
- Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Yin Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Kai Sun
- Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Channa Zhang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Bo Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Wei Zhao
- Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Rutai Hui
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Runlin Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Jizheng Wang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Xinxing Feng
- Department of Endocrinology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China.
| | - Jinqing Yuan
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China.
| | - Lei Song
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China.
- Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China.
- National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China.
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Lee YH, Song SH, Song SH, Shin HS, Yang J, Kim MS, Hwang HS. Clinical implications of changes in metabolic syndrome status after kidney transplantation: a nationwide prospective cohort study. Nephrol Dial Transplant 2023; 38:2743-2753. [PMID: 37243323 DOI: 10.1093/ndt/gfad115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) is prevalent in patients with end-stage kidney disease, and kidney transplantation is expected to modify the metabolic status. However, whether changes in metabolic status at the time of transplantation affect recipient outcomes remains unclear. METHODS We analyzed 4187 recipients registered in a nationwide prospective cohort from 2014 to 2020. MetS was defined as the presence of three or more components of the metabolic syndrome. Patients were classified based on the pre- and post-transplant MetS status: MetS-free, MetS-developed, MetS-recovered and MetS-persistent. Study outcomes were occurrence of death-censored graft loss and a composite of cardiovascular events and death. RESULTS Among recipients without pre-transplant MetS, 19.6% (419/2135) developed post-transplant MetS, and MetS disappeared in 38.7% (794/2052) of the recipients with pre-transplant MetS. Among the four groups, the MetS-developed group showed the worst graft survival rate, and the MetS-persistent group had a poorer composite event-free survival rate. Compared with the MetS-free group, the MetS-developed group was associated with an increased risk of graft loss [adjusted hazard ratio (aHR) 2.35; 95% confidence interval (CI) 1.17-4.98] and the risk of graft loss increased with increasing numbers of dysfunctional MetS components. MetS-persistent was associated with increased risks of cardiovascular events and death (aHR 2.46; 95% CI 1.12-5.63), but changes in the number of dysfunctional MetS components was not. CONCLUSION Kidney transplantation significantly alters the metabolic status. Newly developed MetS after transplantation was associated with an increased risk of graft loss, whereas persistent MetS exposure before and after transplantation was associated with increased risks cardiovascular events and patient survival.
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Affiliation(s)
- Yu Ho Lee
- Division of Nephrology, Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Korea
| | - Sang Heon Song
- Department of Internal Medicine, Pusan National University Hospital, Pusan, Korea
| | - Seung Hwan Song
- Department of Surgery, Ewha Womans University Seoul Hospital, Seoul, Korea
| | - Ho Sik Shin
- Division of Nephrology, Department of Internal Medicine, Kosin University College of Medicine, Pusan, Korea
| | - Jaeseok Yang
- Division of Nephrology, Department of Internal Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Korea
| | - Myoung Soo Kim
- Department of Surgery, Yonsei University College of Medicine, Seoul, Korea
| | - Hyeon Seok Hwang
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Kyung Hee University Medical Center, Seoul, Korea
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Wu Z, Guo D, Chen S, Sun X, Zhang Y, Liu X, Liu L, Lin Z, Yang J. Combination of the triglyceride-glucose index and EuroSCORE II improves the prediction of long-term adverse outcomes in patients undergoing coronary artery bypass grafting. Diabetes Metab Res Rev 2023; 39:e3710. [PMID: 37537868 DOI: 10.1002/dmrr.3710] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 06/22/2023] [Accepted: 07/19/2023] [Indexed: 08/05/2023]
Abstract
AIMS We aimed to investigate the independent and combined association of the triglyceride-glucose (TyG) index and EuroSCORE II with major adverse cardiovascular event (MACE) after coronary artery bypass grafting (CABG), and examine whether the addition of the TyG index improves the predictive performance of the EuroSCORE II. MATERIALS AND METHODS This study included 1013 patients who underwent CABG. The primary endpoint was MACE, which was defined as the composite of all-cause death, repeat coronary artery revascularisation, non-fatal myocardial infarction and non-fatal stroke. The patients were grouped by the TyG index and EuroSCORE II tertiles and the combination of these risk indicators. RESULTS During the follow-up, 211 individuals developed MACE. Elevated levels of the TyG index and EuroSCORE II were associated with an increased risk of MACE. The hazard ratio [95% confidence interval (CI)] was 3.66 (2.34-5.73) in patients with the highest tertile of the TyG index and EuroSCORE II. Compared with the EuroSCORE II alone, combining the TyG index with EuroSCORE II achieved a better predictive performance [C-statistic increased 0.032, p < 0.001; continuous net reclassification improvement (NRI) (95% CI): 0.364 (0.215-0.514), p < 0.001; integrated discrimination improvement (IDI) (95% CI): 0.015 (0.007-0.023), p < 0.001, Akaike's information criteria (AIC) and Bayesian information criterion (BIC) decreased, and the likelihood ratio test, p < 0.001]. CONCLUSIONS The TyG index and EuroSCORE II are independently associated with poor prognosis. Furthermore, the TyG index is an important adjunct to the EuroSCORE II for improving risk stratification and guiding early intervention among post-CABG patients.
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Affiliation(s)
- Zhenguo Wu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Dachuan Guo
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Sha Chen
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Xiangfei Sun
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yerui Zhang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Xiaoyu Liu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Li Liu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Zongwei Lin
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Jianmin Yang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
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Dong S, Zhao Z, Huang X, Ma M, Yang Z, Fan C, Han H, Wang Z, Shi D, Zhou Y. Triglyceride-glucose index is associated with poor prognosis in acute coronary syndrome patients with prior coronary artery bypass grafting undergoing percutaneous coronary intervention. Cardiovasc Diabetol 2023; 22:286. [PMID: 37891647 PMCID: PMC10612342 DOI: 10.1186/s12933-023-02029-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index, which is a reliable substitute indicator for insulin resistance, has been considered an independent risk factor for long-term outcomes in patients with cardiovascular disease. However, it remains unknown whether the TyG index is associated with poor prognosis in acute coronary syndrome (ACS) patients with prior coronary artery bypass grafting (CABG) undergoing percutaneous coronary intervention (PCI). METHODS A total of 1158 ACS patients with prior CABG undergoing PCI were retrospectively studied. The TyG index was calculated by ln[fasting triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2]. The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCE), a composite of all-cause death, nonfatal myocardial infarction, nonfatal stroke, and unplanned repeat revascularization. RESULTS During a median of 42-month follow-up, 350 patients (30.2%) experienced at least one endpoint event. Based on the optimal cut-off value of the TyG index, patients were divided into the high TyG index group and the low TyG index group. Patients in the high TyG index group had higher risks of MACCE (35.3% vs. 25.3%, p < 0.001), major adverse cardiovascular events (MACE) (31.1% vs. 23.4%, p = 0.003), nonfatal stroke (4.2% vs. 1.9%, p = 0.022) and unplanned repeat revascularization (19.4% vs. 11.3%, p < 0.001) than those in the low TyG index group. Cox regression analysis demonstrated that there was an independent association between the TyG index and MACCE regardless of whether the TyG index was a continuous or categorical variable (HR 1.42, 95% CI 1.09-1.86, p = 0.009; HR 1.53, 95% CI 1.16-2.01, p = 0.003, respectively). Restricted cubic spline curve exhibited that the relationship between the TyG index and MACCE was linear (p for non-linear = 0.595, p for overall = 0.005). By incorporating the TyG index groups into baseline risk model, the accuracy of predicting MACCE was improved [AUC: baseline risk model, 0.618 vs. baseline risk model + TyG index groups, 0.636, p for comparison = 0.042]. CONCLUSIONS The TyG index is independently associated with MACCE, suggesting that the TyG index may serve as a valid indicator for predicting poor prognosis in ACS patients with prior CABG undergoing PCI.
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Affiliation(s)
- Shutong Dong
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Zehao Zhao
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Xin Huang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Meishi Ma
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Zhiqiang Yang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Chu Fan
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Hongya Han
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Zhijian Wang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Dongmei Shi
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Yujie Zhou
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China.
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Wu Z, Xie L, Guo D, Chen S, Liu X, Sun X, Wang J, Zhang Y, Liu L, Cui H, Zang D, Yang J. Triglyceride-glucose index in the prediction of adverse cardiovascular events in patients without diabetes mellitus after coronary artery bypass grafting: a multicenter retrospective cohort study. Cardiovasc Diabetol 2023; 22:230. [PMID: 37649025 PMCID: PMC10470170 DOI: 10.1186/s12933-023-01969-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 08/17/2023] [Indexed: 09/01/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index has been evaluated as a reliable surrogate for insulin resistance (IR) and has been proven to be a predictor of poor outcomes in patients with cardiovascular diseases. However, data are lacking on the relationship of the TyG index with prognosis in nondiabetic patients who underwent coronary artery bypass grafting (CABG). Thus, the purpose of our current study was to investigate the potential value of the TyG index as a prognostic indicator in patients without diabetes mellitus (DM) after CABG. METHODS This multicenter, retrospective cohort study involving 830 nondiabetic patients after CABG from 3 tertiary public hospitals from 2014 to 2018. Kaplan-Meier survival curve analysis was conducted followed by the log-rank test. Cox proportional hazards regression models were used to explore the association between the TyG index and major adverse cardiovascular events (MACEs). The incremental predictive power of the TyG index was evaluated with C-statistics, continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI). RESULTS An incrementally higher TyG index was associated with an increasingly higher cumulative incidence of MACEs (log-rank test, p < 0.001). The hazard ratio (95% CI) of MACEs was 2.22 (1.46-3.38) in tertile 3 of the TyG index and 1.38 (1.18-1.62) per SD increase in the TyG index. The addition of the TyG index yielded a significant improvement in the global performance of the baseline model [C-statistic increased from 0.656 to 0.680, p < 0.001; continuous NRI (95% CI) 0.269 (0.100-0.438), p = 0.002; IDI (95% CI) 0.014 (0.003-0.025), p = 0.014]. CONCLUSIONS The TyG index may be an independent factor for predicting adverse cardiovascular events in nondiabetic patients after CABG.
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Affiliation(s)
- Zhenguo Wu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Lin Xie
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Dachuan Guo
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Sha Chen
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Xiaoyu Liu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Xiangfei Sun
- Department of Cardiovascular Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Juan Wang
- Department of Cardiology, The Second Hospital of Shandong University, Jinan, Shandong, China
| | - Yerui Zhang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Li Liu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Huiliang Cui
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Dejin Zang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Jianmin Yang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China.
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10
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Liang S, Wang C, Zhang J, Liu Z, Bai Y, Chen Z, Huang H, He Y. Triglyceride-glucose index and coronary artery disease: a systematic review and meta-analysis of risk, severity, and prognosis. Cardiovasc Diabetol 2023; 22:170. [PMID: 37415168 PMCID: PMC10327356 DOI: 10.1186/s12933-023-01906-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 06/28/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND The TyG index is an indicator of insulin resistance (IR), which is associated with the development and prognosis of cardiovascular disease. This study aimed to summarize the relationship between the TyG index and the risk, severity, and prognosis of coronary artery disease (CAD) by performing a systematic review and meta-analysis. METHODS The PubMed, EMBASE, The Cochrane Library, and Web of Science databases were searched for articles published from inception until May 1, 2023. Cross-sectional studies, retrospective or prospective cohort studies recruiting patients with CAD were included. For the analysis of CAD severity, the outcomes were coronary artery calcification, coronary artery stenosis, coronary plaque progression, multi-vessel CAD, and in-stent re-stenosis. For the analysis of CAD prognosis, the primary outcome was major adverse cardiovascular events (MACE). RESULTS Forty-one studies were included in this study. Compared to patients with the lowest TyG index, those with the highest TyG index had a higher CAD risk [odds ratio (OR): 1.94, 95% confidence interval (CI) 1.20-3.14, I2 = 91%, P = 0.007]. Additionally, these patients were more likely to have stenotic coronary arteries (OR: 3.49, 95% CI 1.71-7.12, I2 = 0%, P = 0.0006), progressed plaques (OR: 1.67, 95% CI 1.28-2.19, I2 = 0%, P = 0.002), and with more vessels involved (OR: 2.33, 95% CI 1.59-3.42, I2 = 0%, P < 0.0001). When calculated as a categorized variable, it appears that acute coronary syndrome (ACS) patients with higher TyG index levels may have a higher incidence rate of MACE [hazard ratio (HR): 2.09, 95% CI 1.68-2.62, I2 = 87%, P < 0.00001], whereas chronic coronary syndrome (CCS) or stable CAD patients with higher TyG index levels showed a trend towards an increased incidence rate of MACE (HR: 1.24, 95% CI 0.96-1.60, I2 = 85%, P = 0.09). When calculated as a continuous variable, ACS patients had an HR of 2.28 per 1-unit/1-standard deviation increment of the TyG index (95% CI 1.44-3.63, I2 = 95%, P = 0.0005). Similarly, CCS or stable CAD patients had an HR of 1.49 per 1-unit/1-standard deviation increment of the TyG index (95% CI 1.21-1.83, I2 = 75%, P = 0.0001). Myocardial infarction with non-obstructive coronary arteries patients had an HR of 1.85 per 1-unit increment of the TyG index (95% CI 1.17-2.93, P = 0.008). CONCLUSIONS The TyG index is a simple new synthetic index that has been proven to be a valuable tool in the whole-course management of CAD patients. Patients with higher TyG index levels are at a higher risk of CAD, more severe coronary artery lesions, and worse prognosis compared to those with lower TyG index levels.
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Affiliation(s)
- Shichu Liang
- Department of Cardiology, West China Hospital, Sichuan University, No.37 GuoXue Alley, Chengdu, 610041, China
| | - Cui Wang
- Department of Endocrinology & Metabolism, Laboratory of Endocrinology & Metabolism, and Rare Disease Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Zhang
- Department of Cardiology, West China Hospital, Sichuan University, No.37 GuoXue Alley, Chengdu, 610041, China
- West China School of Nursing, Sichuan University, Chengdu, China
| | - Zhiyue Liu
- Department of Cardiology, West China Hospital, Sichuan University, No.37 GuoXue Alley, Chengdu, 610041, China
| | - Yanlin Bai
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhonglan Chen
- Department of Cardiology, West China Hospital, Sichuan University, No.37 GuoXue Alley, Chengdu, 610041, China
- West China School of Nursing, Sichuan University, Chengdu, China
| | - He Huang
- Department of Cardiology, West China Hospital, Sichuan University, No.37 GuoXue Alley, Chengdu, 610041, China.
| | - Yong He
- Department of Cardiology, West China Hospital, Sichuan University, No.37 GuoXue Alley, Chengdu, 610041, China.
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Wu Z, Cheng C, Sun X, Wang J, Guo D, Chen S, Zhang Y, Liu X, Liu L, Zhang C, Yang J. The synergistic effect of the triglyceride-glucose index and serum uric acid on the prediction of major adverse cardiovascular events after coronary artery bypass grafting: a multicenter retrospective cohort study. Cardiovasc Diabetol 2023; 22:103. [PMID: 37131230 PMCID: PMC10155424 DOI: 10.1186/s12933-023-01838-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 04/20/2023] [Indexed: 05/04/2023] Open
Abstract
BACKGROUND Elevated serum uric acid (SUA) is regarded as a risk factor for the development of cardiovascular diseases. Triglyceride-glucose (TyG) index, a novel surrogate for insulin resistance (IR), has been proven to be an independent predictor for adverse cardiac events. However, no study has specifically focused on the interaction between the two metabolic risk factors. Whether combining the TyG index and SUA could achieve more accurate prognostic prediction in patients undergoing coronary artery bypass grafting (CABG) remains unknown. METHODS This was a multicenter, retrospective cohort study. A total of 1225 patients who underwent CABG were included in the final analysis. The patients were grouped based on the cut-off value of the TyG index and the sex-specific criteria of hyperuricemia (HUA). Cox regression analysis was conducted. The interaction between the TyG index and SUA was estimated using relative excess risk due to interaction (RERI), attributable proportion (AP), and synergy index (SI). The improvement of model performance yielded by the inclusion of the TyG index and SUA was examined by C-statistics, net reclassification improvement (NRI) and integrated discrimination improvement (IDI). The goodness-of-fit of models was evaluated using the Akaike information criterion (AIC), Bayesian information criterion (BIC) and χ2 likelihood ratio test. RESULTS During follow-up, 263 patients developed major adverse cardiovascular events (MACE). The independent and joint associations of the TyG index and SUA with adverse events were significant. Patients with higher TyG index and HUA were at higher risk of MACE (Kaplan-Meier analysis: log-rank P < 0.001; Cox regression: HR = 4.10; 95% CI 2.80-6.00, P < 0.001). A significant synergistic interaction was found between the TyG index and SUA [RERI (95% CI): 1.83 (0.32-3.34), P = 0.017; AP (95% CI): 0.41 (0.17-0.66), P = 0.001; SI (95% CI): 2.13 (1.13-4.00), P = 0.019]. The addition of the TyG index and SUA yielded a significant improvement in prognostic prediction and model fit [change in C-statistic: 0.038, P < 0.001; continuous NRI (95% CI): 0.336 (0.201-0.471), P < 0.001; IDI (95% CI): 0.031 (0.019-0.044), P < 0.001; AIC: 3534.29; BIC: 3616.45; likelihood ratio test: P < 0.001). CONCLUSIONS The TyG index interacts synergistically with SUA to increase the risk of MACE in patients undergoing CABG, which emphasizes the need to use both measures concurrently when assessing cardiovascular risk.
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Affiliation(s)
- Zhenguo Wu
- National Key Laboratory for Innovation and Transformation of Luobing Theory; The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Cheng Cheng
- National Key Laboratory for Innovation and Transformation of Luobing Theory; The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China
| | - Xiangfei Sun
- Department of Cardiovascular Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Juan Wang
- Department of Cardiology, The Second Hospital of Shandong University, Jinan, Shandong, China
| | - Dachuan Guo
- National Key Laboratory for Innovation and Transformation of Luobing Theory; The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Sha Chen
- National Key Laboratory for Innovation and Transformation of Luobing Theory; The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Yerui Zhang
- National Key Laboratory for Innovation and Transformation of Luobing Theory; The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Xiaoyu Liu
- National Key Laboratory for Innovation and Transformation of Luobing Theory; The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Li Liu
- National Key Laboratory for Innovation and Transformation of Luobing Theory; The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Cheng Zhang
- National Key Laboratory for Innovation and Transformation of Luobing Theory; The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
| | - Jianmin Yang
- National Key Laboratory for Innovation and Transformation of Luobing Theory; The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
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12
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Liu D, Yang K, Gu H, Li Z, Wang Y, Wang Y. Predictive effect of triglyceride-glucose index on clinical events in patients with acute ischemic stroke and type 2 diabetes mellitus. Cardiovasc Diabetol 2022; 21:280. [PMID: 36510223 PMCID: PMC9743618 DOI: 10.1186/s12933-022-01704-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 11/22/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index was significantly related to clinical outcome in patients with cardiovascular disease (CAD) and cerebrovascular disease (CVD). We aim to investigate the association between TyG index and clinical prognosis of acute ischemic stroke (IS) patients with type-2 diabetes mellitus (T2DM). METHODS Among 19,604 patients with acute IS admitted to the China National Stroke Registry II (CNSRII), 3359 IS patients with T2DM were included in the cross-sectional analysis. The TyG index (calculated by ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]) was split into four quartiles. The outcomes included recurrent IS, all-cause death and poor outcome at 1 year were analyzed. The association between the TyG index and adverse cerebrovascular outcomes was assessed by proportional hazards regression analysis. RESULTS During 1 year follow-up, recurrent IS, all-cause death and poor outcome occurred in 305 (9.08%), 229 (6.82%) and 443 (47.9%) cases, respectively. Multivariable Cox proportional hazards analyses showed that the risk of incident primary endpoints was associated with a higher TyG quartile. After adjustment for confounding factors, patients with a higher TyG index had an association with IS recurrence (adjusted hazard ratio, 1.41; 95% confidence interval, 0.97-2.03; P = 0.048) and all-cause death (adjusted hazard ratio, 1.70; 95% confidence interval, 1.062-2.74; P = 0.028), compared with those in the first quartile at 1 year time follow-up. In addition, there were interactions between TyG index and age (≥ 65), female, hypertensive agents, anticoagulant agents, statins and antidiabetic agents in subgroup analyses, especially patients without taken anticoagulant drugs were significantly related to IS recurrence, all-cause death and poor outcome (P = 0.003, P = 0.006 and P = 0.001, respectively). CONCLUSIONS TyG index is strongly related to the IS recurrence and all-cause death in acute IS patients with T2DM. This finding indicates that the TyG index might be a potential predictor of clinical outcome for acute IS patients with T2DM.
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Affiliation(s)
- Dong Liu
- grid.411617.40000 0004 0642 1244Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070 China ,grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, 100070 China
| | - Kaixuan Yang
- grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, 100070 China
| | - Hongqiu Gu
- grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, 100070 China
| | - Zixiao Li
- grid.411617.40000 0004 0642 1244Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070 China ,grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, 100070 China
| | - Yongjun Wang
- grid.411617.40000 0004 0642 1244Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070 China ,grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, 100070 China ,grid.24696.3f0000 0004 0369 153XAdvanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100070 China ,grid.24696.3f0000 0004 0369 153XClinical Center for Precision Medicine in Stroke, Capital Medical University, Beijing, 100070 China
| | - Yilong Wang
- grid.411617.40000 0004 0642 1244Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070 China ,grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, 100070 China ,grid.24696.3f0000 0004 0369 153XAdvanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100070 China ,grid.24696.3f0000 0004 0369 153XClinical Center for Precision Medicine in Stroke, Capital Medical University, Beijing, 100070 China
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Yan F, Yan S, Wang J, Cui Y, Chen F, Fang F, Cui W. Association between triglyceride glucose index and risk of cerebrovascular disease: systematic review and meta-analysis. Cardiovasc Diabetol 2022; 21:226. [PMID: 36324146 PMCID: PMC9632026 DOI: 10.1186/s12933-022-01664-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 10/12/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The triglyceride glucose (TyG) index, which is a new surrogate indicator of insulin resistance (IR), is thought to be associated with many diseases, such as cardiovascular disease, but its relationship with cerebrovascular disease is still controversial. METHODS The PubMed, EMBASE, Cochrane Library, Web of Science and Medline databases were searched until March 2022 to evaluate the association between the TyG index and cerebrovascular disease risk. A random‒effects model was used to calculate the effect estimates and 95% confidence intervals (CIs). RESULTS A total of 19 cohort studies and 10 case‒control/cross‒sectional studies were included in our study, which included 11,944,688 participants. Compared with a low TyG index, a higher TyG index increased the risk of cerebrovascular disease (RR/HR = 1.22, 95% CI [1.14, 1.30], P< 0.001; OR = 1.15, 95% CI [1.07, 1.23], P< 0.001). Furthermore, the results of the dose-response analysis of the cohort study demonstrated that the risk of cerebrovascular disease increased by 1.19 times per 1 mg/dl increment of the TyG index (relative risk = 1.19, 95% CI [1.13,1.25], P< 0.001). CONCLUSION TyG index is related to cerebrovascular disease. More data and basic research are needed to confirm the association.
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Affiliation(s)
- Feifei Yan
- grid.64924.3d0000 0004 1760 5735Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021 Changchun, P. R. China
| | - Shoumeng Yan
- grid.64924.3d0000 0004 1760 5735School of Nursing, Jilin University, 130021 Changchun, P. R. China
| | - Jing Wang
- grid.64924.3d0000 0004 1760 5735Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021 Changchun, P. R. China
| | - Yani Cui
- grid.64924.3d0000 0004 1760 5735Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021 Changchun, P. R. China
| | - Feinan Chen
- grid.64924.3d0000 0004 1760 5735Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021 Changchun, P. R. China
| | - Fang Fang
- grid.64924.3d0000 0004 1760 5735Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021 Changchun, P. R. China
| | - Weiwei Cui
- grid.64924.3d0000 0004 1760 5735Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021 Changchun, P. R. China
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Tao LC, Xu JN, Wang TT, Hua F, Li JJ. Triglyceride-glucose index as a marker in cardiovascular diseases: landscape and limitations. Cardiovasc Diabetol 2022; 21:68. [PMID: 35524263 PMCID: PMC9078015 DOI: 10.1186/s12933-022-01511-x] [Citation(s) in RCA: 212] [Impact Index Per Article: 106.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 04/22/2022] [Indexed: 12/17/2022] Open
Abstract
The triglyceride-glucose (TyG) index has been identified as a reliable alternative biomarker of insulin resistance (IR). Recently, a considerable number of studies have provided robust statistical evidence suggesting that the TyG index is associated with the development and prognosis of cardiovascular disease (CVD). Nevertheless, the application of the TyG index as a marker of CVD has not systemically been evaluated, and even less information exists regarding the underlying mechanisms associated with CVD. To this end, in this review, we summarize the history of the use of the TyG index as a surrogate marker for IR. We aimed to highlight the application value of the TyG index for a variety of CVD types and to explore the potential limitations of using this index as a predictor for cardiovascular events to improve its application value for CVD and provide more extensive and precise supporting evidence.
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Affiliation(s)
- Li-Chan Tao
- The Third Affiliated Hospital of Soochow University, Juqian Road, Changzhou, 213000, China
| | - Jia-Ni Xu
- The Third Affiliated Hospital of Soochow University, Juqian Road, Changzhou, 213000, China
| | - Ting-Ting Wang
- The Third Affiliated Hospital of Soochow University, Juqian Road, Changzhou, 213000, China
| | - Fei Hua
- The Third Affiliated Hospital of Soochow University, Juqian Road, Changzhou, 213000, China.
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China.
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