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Yang Y, Wang Y, Pei XY. Triglyceride Glucose Body Mass Index as 3 Year Prognostic Indicator for Major Adverse Cardiovascular and Cerebrovascular Events in Patients with Acute Myocardial Infarction After PCI: A Prospective Cohort Study. Clin Interv Aging 2024; 19:1341-1350. [PMID: 39050521 PMCID: PMC11268843 DOI: 10.2147/cia.s473481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 07/10/2024] [Indexed: 07/27/2024] Open
Abstract
Background Previous studies have suggested that triglyceride glucose-body mass index (TyG-BMI) is associated with cardiovascular mortality in patients undergoing peritoneal dialysis. However, the predictive value of TyG-BMI in the prognosis of acute myocardial infarction (AMI) remains unclear. Methods In total, 408 AMI patients who underwent PCI were consecutively included in this study. All included patients were then divided into three groups according to tertiles of TyG-BMI. The association between TyG-BMI and major adverse cardiovascular and cerebrovascular events (MACCEs) were investigated. Results Participants were divided into three groups: tertile 1(≤199.4, n=136), tertile 2 (199.4-231.8, n=136), and tertile 3 (≥231.8, n=136). Eighty (19.6%) patients had MACCEs: 18 (13.2%) in tertile 1, 26 (19.1%) in tertile 2, and 36 (25.7%) in tertile 3. The incidence of MACCEs increased as the tertiles of TyG-BMI increased (p<0.05). Multivariate Cox regression analysis revealed that diabetes mellitus and TyG-BMI were independent predictors of MACCEs in AMI patients after PCI (p<0.05). The receiver operating characteristic (ROC) curve showed that when TyG-BMI was ≥192.4, the sensitivity and specificity were 60.1% and 65.4%, respectively, and the area under the ROC curve (AUC) was 0.632 (95% confidence interval [CI]: 0.562-0.703; p < 0.001). Conclusion Elevated TyG-BMI level was an independent predictor of the composite MACCEs in patients with AMI after PCI.
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Affiliation(s)
- Yan Yang
- Department of General Practice, The Hospital Affiliated to Inner Mongolia Minzu University, Tongliao, People’s Republic of China
| | - Yong Wang
- Department of Cardiology, Shenzhen Luohu Hospital Group Luohu People’s Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, People’s Republic of China
| | - Xiao-Yang Pei
- Department of Cardiology, Shenzhen Luohu Hospital Group Luohu People’s Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, People’s Republic of China
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Fang Y, Shen J, Lyu L. Value of the triglyceride-glucose index and related parameters in heart failure patients. Front Cardiovasc Med 2024; 11:1397907. [PMID: 39091358 PMCID: PMC11291214 DOI: 10.3389/fcvm.2024.1397907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 06/27/2024] [Indexed: 08/04/2024] Open
Abstract
The triglyceride-glucose (TyG) index, proven to be a crucial insulin resistance biomarker (better than the Homeostasis Model Assessment for Insulin Resistance), is simple and non-invasive. Recently, indisputable evidence has shown that the TyG index is strongly associated with cardiovascular disease [CVD, including atherosclerosis, heart failure (HF), and hypertension] prognosis and mortality. Nevertheless, the value of the TyG index in HF patients treated with sodium-glucose cotransporter 2 inhibitors (SGLT2is) has not been systematically evaluated. Therefore, in this review, we summarized the value of the TyG index and its related parameters as markers of CVD, especially HF. Furthermore, we addressed the use of SGLT2is and GLP-1 receptor antagonists in HF patients. Finally, we summarized the mechanism of the "obesity paradox."
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Affiliation(s)
- Yunteng Fang
- Lishui Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Lishui Central Hospital and the Fifth Affiliated Hospital, Wenzhou Medical University, Lishui, China
| | - Jiayi Shen
- Lishui Central Hospital and the Fifth Affiliated Hospital, Wenzhou Medical University, Lishui, China
| | - Lingchun Lyu
- Lishui Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Lishui Central Hospital and the Fifth Affiliated Hospital, Wenzhou Medical University, Lishui, China
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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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Cai D, Xiao T, Chen Q, Gu Q, Wang Y, Ji Y, Sun L, Wei J, Wang Q. Association between triglyceride glucose and acute kidney injury in patients with acute myocardial infarction: a propensity score‑matched analysis. BMC Cardiovasc Disord 2024; 24:216. [PMID: 38643093 PMCID: PMC11031878 DOI: 10.1186/s12872-024-03864-5] [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: 09/27/2023] [Accepted: 03/28/2024] [Indexed: 04/22/2024] Open
Abstract
BACKGROUND Acute kidney injury (AKI) in patients with acute myocardial infarction (AMI) often indicates a poor prognosis. OBJECTIVE This study aimed to investigate the association between the TyG index and the risk of AKI in patients with AMI. METHODS Data were taken from the Medical Information Mart for Intensive Care (MIMIC) database. A 1:3 propensity score (PS) was set to match patients in the AKI and non-AKI groups. Multivariate logistic regression analysis, restricted cubic spline (RCS) regression and subgroup analysis were performed to assess the association between TyG index and AKI. RESULTS Totally, 1831 AMI patients were included, of which 302 (15.6%) had AKI. The TyG level was higher in AKI patients than in non-AKI patients (9.30 ± 0.71 mg/mL vs. 9.03 ± 0.73 mg/mL, P < 0.001). Compared to the lowest quartile of TyG levels, quartiles 3 or 4 had a higher risk of AKI, respectively (Odds Ratiomodel 4 = 2.139, 95% Confidence Interval: 1.382-3.310, for quartile 4 vs. quartile 1, Ptrend < 0.001). The risk of AKI increased by 34.4% when the TyG level increased by 1 S.D. (OR: 1.344, 95% CI: 1.150-1.570, P < 0.001). The TyG level was non-linearly associated with the risk of AKI in the population within a specified range. After 1:3 propensity score matching, the results were similar and the TyG level remained a risk factor for AKI in patients with AMI. CONCLUSION High levels of TyG increase the risk of AKI in AMI patients. The TyG level is a predictor of AKI risk in AMI patients, and can be used for clinical management.
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Affiliation(s)
- Dabei Cai
- Department of Cardiology, the Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, 213000, China
- Graduate School of Dalian Medical University, Dalian Medical University, Dalian, Liaoning, 116000, China
| | - Tingting Xiao
- Department of Cardiology, the Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, 213000, China
| | - Qianwen Chen
- Department of Cardiology, the Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, 213000, China
| | - Qingqing Gu
- Department of Cardiology, the Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, 213000, China
| | - Yu Wang
- Department of Cardiology, the Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, 213000, China
| | - Yuan Ji
- Department of Cardiology, the Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, 213000, China
| | - Ling Sun
- Department of Cardiology, the Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, 213000, China.
- Graduate School of Dalian Medical University, Dalian Medical University, Dalian, Liaoning, 116000, China.
| | - Jun Wei
- Department of Cardiovascular Surgery, the First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, 241000, China.
- Department of Cardiovascular Surgery, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, 220005, China.
| | - Qingjie Wang
- Department of Cardiology, the Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, 213000, China.
- Graduate School of Dalian Medical University, Dalian Medical University, Dalian, Liaoning, 116000, China.
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Efe TH, Algül E. Prognostic value of triglyceride-glucose index for left ventricular remodeling in nondiabetic ST-elevation myocardial infarction patients. Biomark Med 2024; 18:243-252. [PMID: 38639732 PMCID: PMC11216507 DOI: 10.2217/bmm-2024-0015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 03/11/2024] [Indexed: 04/20/2024] Open
Abstract
Background: The triglyceride-glucose (TyG) index is a marker of insulin resistance and is associated with cardiovascular mortality and morbidity. Left ventricular remodeling (LVR) after myocardial infarction (STEMI) is associated with poor prognosis. Methods: This retrospective study included 293 STEMI patients. Echocardiography was performed before discharge and 3 months after MI. Results: Compared with the non-LVR group, TyG index value was found to be higher in the LVR group (p < 0.001). Logistic regression analysis showed that higher maximal troponin I value, higher calculated TyG index value, higher N-terminal prohormone of brain natriuretic peptide level and the presence of anterior MI were independently associated with the development of LVR. Conclusion: A high TyG index level may contribute to the prediction of LVR in nondiabetic STEMI patients undergoing successful primary percutaneous coronary intervention.
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Affiliation(s)
- Tolga Han Efe
- Department of Cardiology, Etlik City Hospital, Ankara, Turkey
| | - Engin Algül
- Department of Cardiology, Etlik City Hospital, Ankara, Turkey
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Zheng D, Cao L. Association Between Myocardial Infarction and Triglyceride-Glucose Index: A Study Based on NHANES Database. Glob Heart 2024; 19:23. [PMID: 38404616 PMCID: PMC10885828 DOI: 10.5334/gh.1303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 02/05/2024] [Indexed: 02/27/2024] Open
Abstract
Objective To investigate differences in levels of the triglyceride-glucose (TyG) index between individuals with myocardial infarction (MI) and those without MI, as well as the association between TyG index and risk of MI. Methods Data from the National Health and Nutrition Examination Survey (NHANES) for US adults from 2013 to 2018 were included in this study. Using MI as an outcome variable and TyG index as an exposure variable, logistic regression models were employed to analyze relationship between MI and TyG index. Results The study included 6,695 participants. Compared to the non-MI group, patients with MI had significantly higher TyG index (8.89 vs. 8.63, P = 0.003). Higher TyG index was significantly associated with an increased risk of MI in US adults (OR: 1.69, 95% CI: 1.26-2.26, P < 0.001). Race, smoking status, and history of chronic obstructive pulmonary disease (COPD) had significant impacts on the association between TyG index and risk of MI (P for interaction < 0.05). Subgroup analysis demonstrated a significant positive correlation between TyG index and MI risk in non-Hispanic Black individuals, non-smokers, and individuals without COPD across multiple models (OR > 1.0, P < 0.05). Conclusion US adults with higher TyG index were more susceptible to MI, and TyG index may be used to identify individuals at high risk of MI in the US population.
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Affiliation(s)
- Dandan Zheng
- The Department of Cardiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang City, Hubei Province, China
| | - Ligong Cao
- The Department of Cardiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang City, Hubei Province, China
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Azarboo A, Behnoush AH, Vaziri Z, Daneshvar MS, Taghvaei A, Jalali A, Cannavo A, Khalaji A. Assessing the association between triglyceride-glucose index and atrial fibrillation: a systematic review and meta-analysis. Eur J Med Res 2024; 29:118. [PMID: 38347644 PMCID: PMC10860290 DOI: 10.1186/s40001-024-01716-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 02/06/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND An essential relationship between insulin resistance (IR) and atrial fibrillation (AF) has been demonstrated. Among the methods used to assess IR, the triglyceride-glucose (TyG) index is the more straightforward, dimensionless, and low-cost tool. However, the possible usage of this index in clinical practice to predict and diagnose AF has yet to be determined and consolidated. OBJECTIVE AND RATIONALE Herein, we performed a systematic review and meta-analysis to assess the association between the TyG index and AF. METHODS Databases (PubMed, Embase, Scopus, and Web of Science) were systematically searched for studies evaluating the TyG index in AF. The inclusion criteria were observational studies investigating AF and TyG index correlation in individuals older than 18 years, while preclinical studies and those without the relevant data were excluded. Random effect meta-analyses comparing TyG levels between AF and non-AF cases, AF recurrence after radiofrequency ablation, and post-procedural AF were performed using standardized mean differences (SMD) with their matching 95% confidence intervals (CIs). RESULTS Our screening identified nine studies to be analyzed, including 6,171 participants including 886 with AF. The meta-analysis demonstrated that the TyG index resulted higher in patients with AF than non-AF counterparts (SMD 1.23, 95% CI 0.71 to 1.75, I2 98%, P < 0.001). Subgroup analysis showed the same results for post-procedure AF (SMD 0.99, 95% CI 0.78 to 1.20, I2 10%, P < 0.001) and post-ablation AF (SMD 1.25, 95% CI 1.07 to 1.43, I2 46%, P < 0.001), while no difference was found in population-based cohorts (SMD 1.45, 95% CI - 0.41 to 3.31, I2 100%, P = 0.13). Publication year (P = 0.036) and sample size (P = 0.003) showed significant associations with the effect size, using multivariable meta-regression. CONCLUSION The TyG index is an easy-to-measure surrogate marker of IR in patients with AF. Further clinical studies are warranted to demonstrate its ability for routine clinical use and as a screening tool.
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Affiliation(s)
- Alireza Azarboo
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
- School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd., Tehran, 1417613151, Iran
| | - Amir Hossein Behnoush
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
- School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd., Tehran, 1417613151, Iran.
| | - Zahra Vaziri
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
| | - Mohammad Shahabaddin Daneshvar
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
- School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd., Tehran, 1417613151, Iran
| | - Aryan Taghvaei
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
- School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd., Tehran, 1417613151, Iran
| | - Arash Jalali
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Alessandro Cannavo
- Department of Translational Medical Sciences, Federico II University of Naples, Naples, Italy
| | - Amirmohammad Khalaji
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
- School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd., Tehran, 1417613151, Iran
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Zhao M, Xiao M, Tan Q, Lu F. Triglyceride glucose index as a predictor of mortality in middle-aged and elderly patients with type 2 diabetes in the US. Sci Rep 2023; 13:16478. [PMID: 37777574 PMCID: PMC10542790 DOI: 10.1038/s41598-023-43512-0] [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] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 09/25/2023] [Indexed: 10/02/2023] Open
Abstract
Despite a wealth of research linking the triglyceride glucose index (TyG index) to metabolic diseases. However, little evidence links the TyG index to all-cause or CVD mortality in middle-aged and elderly individuals with type 2 diabetes (T2D). This study analyzed data from 2998 patients with T2D who participated in the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. The TyG index and mortality in middle-aged and elderly T2D patients were investigated using Cox regression models. The nonlinear association between the TyG index and mortality can be understood with the help of a restricted cubic spline (RCS). During a median follow-up period of 82 months, 883 fatalities were observed from all causes and 265 from CVD. The TyG index was found to have a U-shaped relationship with all-cause and CVD mortality in T2D, with cutoffs of 8.95 and 9, respectively, according to the RCS. After controlling for other factors, an increase of 1 unit in the TyG index was related to an increase of 33% in all-cause mortality and 50% in CVD mortality when TyG was ≥ 8.95 and 9. When TyG < 8.95 and 9, with the change in the TyG index, the change in all-cause and CVD death was insignificant. Patients with T2D who are middle-aged or older, especially elderly patients, have higher TyG levels associated with increased mortality. In middle-aged and elderly patients with T2D, the TyG index may predict the probability of death from any cause and death from CVD.
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Affiliation(s)
- Mengjie Zhao
- NMPA Key Laboratory for Clinical Research and Evaluation of Traditional Chinese Medicine, Xiyuan Hospital, China Academy of Chinese Medicine Sciences, 1 Xiyuan Caochang, Haidian District, Beijing, 100091, China
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medicine Sciences, 1 Xiyuan Caochang, Haidian District, Beijing, 100091, China
- Graduate School of Beijing University of Chinese Medicine, 11 North 3rd Ring East Road, Chaoyang District, Beijing, 100029, China
| | - Mengli Xiao
- NMPA Key Laboratory for Clinical Research and Evaluation of Traditional Chinese Medicine, Xiyuan Hospital, China Academy of Chinese Medicine Sciences, 1 Xiyuan Caochang, Haidian District, Beijing, 100091, China
| | - Qin Tan
- NMPA Key Laboratory for Clinical Research and Evaluation of Traditional Chinese Medicine, Xiyuan Hospital, China Academy of Chinese Medicine Sciences, 1 Xiyuan Caochang, Haidian District, Beijing, 100091, China
| | - Fang Lu
- NMPA Key Laboratory for Clinical Research and Evaluation of Traditional Chinese Medicine, Xiyuan Hospital, China Academy of Chinese Medicine Sciences, 1 Xiyuan Caochang, Haidian District, Beijing, 100091, China.
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medicine Sciences, 1 Xiyuan Caochang, Haidian District, Beijing, 100091, China.
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