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Li W, Zhu Y, Zhu X. Text analysis of rehabilitation nursing policy in China from the perspective of policy tools. Front Public Health 2025; 13:1562889. [PMID: 40376051 PMCID: PMC12078275 DOI: 10.3389/fpubh.2025.1562889] [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: 01/18/2025] [Accepted: 04/14/2025] [Indexed: 05/18/2025] Open
Abstract
Objective This study aims to analyze the specific content and structural characteristics of rehabilitation nursing-related policies in China from 2007 to 2024, utilizing the perspective of policy tools. The goal is to provide insights for the subsequent optimization and enhancement of the rehabilitation nursing policy system. Methods According to the classification method of policy instruments proposed by public policy scholars Rothwell and Zegveld, this study identified the X dimension (basic policy instrument) and categorized the included policies into demand-oriented, supply-oriented, and environment-based policies. Simultaneously, in light of multi-level service needs, an analysis of the elements constituting the rehabilitation nursing system was conducted in conjunction with existing research. This led to the summarization of five levels within the rehabilitation nursing system: nursing staff, service objectives, service items, service methods, and safeguard measures. These levels were designated as the Y dimension (service system) for this study. Utilizing this two-dimensional analytical framework, researchers classified and coded relevant policy texts that met established criteria. Subsequently, they analyzed their content and performed a quantitative assessment regarding both quantity and distribution patterns. Results A total of 41 policy documents were analyzed, resulting in the extraction of 292 policy terms, and in dimension X, environment-based, supply-based, and demand-based policy instruments comprised 46.58, 36.64, and 16.78%, respectively. In dimension Y, nursing staff, service objectives, service items, service methods, and safeguard measures accounted for 22.95, 12.67, 12.67, 20.89, and 25.00%, respectively. Overall, the rehabilitation nursing policy in China is predominantly characterized by environment-based policy tools, while demand-based policy tools are comparatively underrepresented. Conclusion The government has increasingly prioritized rehabilitation nursing care; consequently, the current policy framework is evolving toward greater specialization, standardization, and systematization. Nevertheless, there remains a need to optimize the structural application of policy tools further, particularly concerning enhancing the utilization of demand-side policy instruments.
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Affiliation(s)
| | | | - Xuehua Zhu
- School of Nursing, Zhejiang Chinese Medical University, Hangzhou, China
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Fu B, Yu Y, Cheng S, Huang H, Long T, Yang J, Gu M, Cai C, Chen X, Niu H, Hua W. Association between triglyceride-glucose index and the risk of heart failure hospitalization in older diabetic patients received right ventricular pacing: a retrospective cohort study. Acta Diabetol 2024; 61:1527-1536. [PMID: 38898363 PMCID: PMC11628445 DOI: 10.1007/s00592-024-02322-0] [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: 02/23/2024] [Accepted: 06/11/2024] [Indexed: 06/21/2024]
Abstract
BACKGROUND The prognostic value of triglyceride-glucose (TyG) index is not yet known for older diabetic patients received right ventricular pacing (RVP). We aimed to investigate the association between TyG index and the risk of heart failure hospitalization (HFH) in older diabetic patients received RVP. METHODS This study was conducted between January 2017 and January 2018 at Fuwai Hospital, Beijing, China, and included older (age ≥ 65 years) diabetic patients that received RVP for the first time. TyG index were obtained before implantation. The primary endpoint was HFH. RESULTS A total of 231 patients were divided into three groups according to the tertiles of TyG index: < 8.5 (T1, N = 77), 8.5-9.1 (T2, N = 77), and > 9.1 (T3, N = 77). T3 group had higher rate of HFH (Log-rank = 11.7, P = 0.003). Multivariate analyses showed that, TyG index served as an independent predictor for HFH, both as numerical variable (HR = 1.94, 95% CI 1.21-3.11, P = 0.006), and as categorical variable (HR = 2.31, 95% CI 1.09-4.89, P = 0.03). RCS demonstrated that the risk of HFH was relatively low until TyG index exceeded 8.8, beyond which the risk began to increase rapidly (P-non-linear = 0.006). CONCLUSION Preimplantation TyG index emerges as a robust, independent predictor for HFH in older diabetic patients received RVP, and TyG index > 8.8 might be the optimal cut-off value.
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Affiliation(s)
- Bingqi Fu
- Cardiac Arrhythmia Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Bei Li Shi Rd, Xicheng District, Beijing, 100037, China
| | - Yu Yu
- Cardiac Arrhythmia Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Bei Li Shi Rd, Xicheng District, Beijing, 100037, China
| | - Sijing Cheng
- Cardiac Arrhythmia Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Bei Li Shi Rd, Xicheng District, Beijing, 100037, China
| | - Hao Huang
- Cardiac Arrhythmia Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Bei Li Shi Rd, Xicheng District, Beijing, 100037, China
| | - Tianxin Long
- Cardiac Arrhythmia Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Bei Li Shi Rd, Xicheng District, Beijing, 100037, China
| | - Juweig Yang
- Cardiac Arrhythmia Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Bei Li Shi Rd, Xicheng District, Beijing, 100037, China
| | - Min Gu
- Cardiac Arrhythmia Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Bei Li Shi Rd, Xicheng District, Beijing, 100037, China
| | - Chi Cai
- Cardiac Arrhythmia Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Bei Li Shi Rd, Xicheng District, Beijing, 100037, China
| | - Xuhua Chen
- Cardiac Arrhythmia Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Bei Li Shi Rd, Xicheng District, Beijing, 100037, China
| | - Hongxia Niu
- Cardiac Arrhythmia Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Bei Li Shi Rd, Xicheng District, Beijing, 100037, China
| | - Wei Hua
- Cardiac Arrhythmia Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Bei Li Shi Rd, Xicheng District, Beijing, 100037, China.
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Blicher MK, Frary C, Pareek M, Stidsen JV, Vishram-Nielsen JKK, Rasmussen S, Bonnema SJ, Højlund K, Olsen MH, Olesen TB. Triglyceride-glucose index improves risk prediction beyond traditional risk factors and hypertension mediated organ damage in healthy adults. Nutr Metab Cardiovasc Dis 2024; 34:2446-2454. [PMID: 39117485 DOI: 10.1016/j.numecd.2024.06.010] [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: 06/29/2023] [Revised: 06/04/2024] [Accepted: 06/13/2024] [Indexed: 08/10/2024]
Abstract
BACKGROUND AND AIMS Triglyceride-glucose (TyG) index, a surrogate measure of insulin resistance, is associated with hypertension mediated organ damage (HMOD) and cardiovascular disease. This study investigated the association between TyG index and major adverse cardiovascular events (MACE) and its interaction with traditional risk factors and HMOD. METHODS AND RESULTS Healthy subjects recruited from the general population were thoroughly examined and followed for MACE using nation-wide registries. Cox proportional hazard models were used to calculate the association between TyG index and MACE occurrence. Models were adjusted for Systematic Coronary Risk Evaluation (SCORE) risk factors, pulse wave velocity, left ventricular mass index, carotid atherosclerotic plaque status, and microalbuminuria. Continuous net reclassification and Harrell's Concordance index (C-index) were used to assess the added prognostic value of TyG index. During a follow-up period of mean 15.4 ± 4.7 years, MACE were observed in 332 (17%) of 1970 included participants. TyG index was associated with MACE; HR = 1.44 [95%CI:1.30-1.59] per standard deviation. After adjustment for traditional cardiovascular (CV) risk factors, HR was 1.16 [95%CI:1.03-1.31]. The association between TyG index and MACE remained significant after further adjustment for each HMOD component. However, this finding was evident only in subjects aged 41 or 51 years (HR = 1.39; 95%CI:1.15-1.69). Including TyG index in a risk model based on traditional CV risk factors improved C-index with 0.005 (P = 0.042). CONCLUSION In this population-based study of healthy middle-aged subjects, TyG index was associated with MACE independently of traditional CV risk factors and HMOD. TyG index may have a potential role in future risk prediction systems.
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Affiliation(s)
- Marie K Blicher
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark; Department of Endocrinology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
| | - Charles Frary
- Cardiology Section of the Department of Internal Medicine, Holbaek Hospital, Holbaek, Denmark
| | - Manan Pareek
- Center for Translational Cardiology and Pragmatic Randomized Trials, Copenhagen University Hospital - Herlev and Gentofte, Denmark
| | - Jacob V Stidsen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Julie K K Vishram-Nielsen
- Department of Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region of Denmark, Copenhagen, Denmark
| | - Susanne Rasmussen
- Department of Clinical Physiology and Nuclear Medicine, Gentofte Hospital, Gentofte, Denmark
| | - Steen J Bonnema
- Department of Endocrinology, Odense University Hospital, Odense, Denmark
| | - Kurt Højlund
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Michael H Olsen
- Cardiology Section of the Department of Internal Medicine, Holbaek Hospital, Holbaek, Denmark; Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Thomas B Olesen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark; Department of Internal Medicine, Kolding Hospital, Kolding, Denmark
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Samavarchitehrani A, Cannavo A, Behnoush AH, Kazemi Abadi A, Shokri Varniab Z, Khalaji A. Investigating the association between the triglyceride-glucose index and peripheral artery disease: a systematic review and meta-analysis. Nutr Diabetes 2024; 14:80. [PMID: 39341836 PMCID: PMC11438956 DOI: 10.1038/s41387-024-00341-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: 06/17/2024] [Revised: 09/04/2024] [Accepted: 09/19/2024] [Indexed: 10/01/2024] Open
Abstract
BACKGROUND Peripheral artery disease (PAD) is a common disease associated with atherosclerosis, leading to significant mortality and morbidity worldwide. Our study focuses on the association between insulin resistance (IR) and PAD, specifically investigating the triglyceride-glucose index (TyG) as a potential surrogate marker of IR in the context of PAD by pooling the existing studies on this topic. METHODS Online databases, including PubMed, Embase, Scopus, and the Web of Science, were searched to find the studies comparing the TyG index in PAD vs. control, reporting the TyG index among PAD severities, and assessing the association of increase in TyG with PAD prevalence. Random-effect meta-analysis was performed to calculate the standardized mean difference (SMD) and 95% confidence interval (CI) for TyG level comparison and to calculate pooled odds ratio (ORs) for a 1-unit increase in TyG and higher vs. lower quartile/tertile of TyG association with PAD. RESULTS In the final review, 22 studies comprising 73,168 cases were included. Random-effect meta-analysis showed that patients with PAD had significantly higher levels of the TyG index compared with controls (SMD 0.76, 95%CI 0.65-0.88, P < 0.001). Also, higher severities of PAD were associated with higher TyG levels (SMD 0.48, 95%CI 0.22-0.74, P = 0.0003). Additionally, a 1-unit increase in TyG was associated with a 60% increase in odds of PAD (OR 1.60, 95%CI 1.41-1.80, P < 0.001). Finally, the highest quartile (Q4) of TyG had significantly higher odds of PAD compared to Q1 (OR 1.94, 95%CI 1.49-2.54, P < 0.001). CONCLUSION Our meta-analysis has identified a significant association between TyG levels and PAD and its severity. These findings not only contribute to our understanding of the role of IR in PAD pathology but also offer clinicians an exact index for evaluating PAD risk and its complications. This could potentially lead to more effective prevention and management strategies in the future.
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Affiliation(s)
| | - Alessandro Cannavo
- Department of Translational Medicine Sciences, Federico II University of Naples, Naples, Italy
| | - Amir Hossein Behnoush
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
- Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
| | - Ali Kazemi Abadi
- Islamic Azad University Tehran Faculty of Medicine, Tehran, Iran
| | - Zahra Shokri Varniab
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Pediatric Urology and Regenerative Medicine Research Center, Gene, Cell and Tissue Research Institute, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Amirmohammad Khalaji
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
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Xu F, Feng Y, Zhong X. Higher triglyceride‑glucose index is associated with increased risk of stroke among middle-aged and elderly Chinese: a national longitudinal study. Sci Rep 2024; 14:19054. [PMID: 39154111 PMCID: PMC11330459 DOI: 10.1038/s41598-024-70008-2] [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: 02/21/2024] [Accepted: 08/12/2024] [Indexed: 08/19/2024] Open
Abstract
Stroke is a severe cerebrovascular disease. This study aimed to determine the association between triglyceride‑glucose (TyG) index and stroke among middle-aged and elderly Chinese. Data was extracted from China Health and Retirement Longitudinal Study survey 2015 and survey 2018. Logistic regression, trend test and subgroup analysis were conducted to assess the association. Possible nonlinear relationships were explored with restricted cubic spline (RCS). Propensity score matching (PSM) was conducted to attenuate the effect of confounding factors. ORs of stroke was positively associated with TyG index. The ORs in RCS analysis also increased with the rising TyG, though p for non-linearity was bigger than 0.05. After PSM, the ORs in the full adjusted models were 1.28 (1.01, 1.62). TyG was suggested as an independent risk factor for stroke in the middle aged and elderly Chinese.
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Affiliation(s)
- Feifei Xu
- Department of Critical Care Medicine, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, People's Republic of China
| | - Yan Feng
- Department of Critical Care Medicine, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, People's Republic of China
| | - Xi Zhong
- Department of Critical Care Medicine, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, People's Republic of China.
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Ma C, Cheng B, Zhou L, Cai S, Qin B, Sun J, Li M, Zhang S, Chen Y, Bao Q, Zhu P, Xu G, Wang S. Association between insulin resistance and vascular damage in an adult population in China: a cross-sectional study. Sci Rep 2024; 14:18472. [PMID: 39122757 PMCID: PMC11315910 DOI: 10.1038/s41598-024-69338-y] [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: 04/25/2024] [Accepted: 08/02/2024] [Indexed: 08/12/2024] Open
Abstract
There is a relative scarcity of large-scale population studies investigating the relationship between the insulin resistance index of homeostasis model assessment (HOMA-IR) and vascular damage. Therefore, we assessed the association between HOMA-IR and vascular damage in adults aged 18 years and older in China. A total of 17,985 research subjects were included. Vascular damage markers and relevant laboratory tests were measured. HOMA-IR was calculated as (fasting insulin * fasting blood glucose)/22.5. Vascular damage included arteriosclerosis (ba-PWV > 1800 cm/s), peripheral artery disease (ABI < 0.9), and microalbuminuria (UACR > 30 mg/g). The relationship between HOMA-IR and vascular damage was analyzed using the RCS. The restricted cubic spline (RCS) analysis suggested that HOMA-IR was nonlinearly associated with arteriosclerosis (P for no-liner < 0.01), peripheral artery disease (P for no-liner < 0.01), and microalbuminuria (P for no-liner < 0.01). Further segmented regression analyses revealed that in study subjects with HOMA-IR < 5, we found that HOMA-IR was associated with an increased OR for arteriosclerosis (OR: 1.36, 95% CI (1.28, 1.45), P < 0.01), peripheral artery disease (OR: 1.33, 95% CI (1.10, 1.60), P < 0.01) and microalbuminuria (OR: 1.59, 95% CI (1.49, 1.70), P < 0.01). HOMA-IR is an independent risk factor for vascular damage, both macrovascular and microvascular. The phenomenon of saturation of HOMA-IR with vascular damage needs further investigation.
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Affiliation(s)
- Cong Ma
- Chinese PLA General Hospital and Medical School of Chinese PLA, Beijing, China
- The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
- Department of Health Management, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Bokai Cheng
- Chinese PLA General Hospital and Medical School of Chinese PLA, Beijing, China
- The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
- Department of Nephrology, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Lin Zhou
- Chinese PLA General Hospital and Medical School of Chinese PLA, Beijing, China
- Department of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
- The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
| | - Shuang Cai
- Chinese PLA General Hospital and Medical School of Chinese PLA, Beijing, China
- Department of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
- The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
| | - Bangguo Qin
- Chinese PLA General Hospital and Medical School of Chinese PLA, Beijing, China
- Department of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
- The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
| | - Jin Sun
- Chinese PLA General Hospital and Medical School of Chinese PLA, Beijing, China
- Department of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
- The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
| | - Man Li
- Chinese PLA General Hospital and Medical School of Chinese PLA, Beijing, China
- Department of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
- The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
| | - Shuaishuai Zhang
- Chinese PLA General Hospital and Medical School of Chinese PLA, Beijing, China
- Department of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
- The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
| | - Yue Chen
- Chinese PLA General Hospital and Medical School of Chinese PLA, Beijing, China
- Department of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
- The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
| | - Qiligeer Bao
- Chinese PLA General Hospital and Medical School of Chinese PLA, Beijing, China
- Department of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
- The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China
| | - Ping Zhu
- Chinese PLA General Hospital and Medical School of Chinese PLA, Beijing, China.
- Department of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China.
- The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China.
| | - Guogang Xu
- Chinese PLA General Hospital and Medical School of Chinese PLA, Beijing, China.
- The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China.
- Department of Health Management, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Shuxia Wang
- Chinese PLA General Hospital and Medical School of Chinese PLA, Beijing, China.
- Department of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China.
- The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fu Xing Road, Haidian District, Beijing, 100853, China.
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Zhang X, Du Y, Zhang T, Zhao Z, Guo Q, Ma X, Shi D, Zhou Y. Prognostic significance of triglyceride-glucose index in acute coronary syndrome patients without standard modifiable cardiovascular risk factors. Cardiovasc Diabetol 2024; 23:270. [PMID: 39044255 PMCID: PMC11267681 DOI: 10.1186/s12933-024-02345-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 06/28/2024] [Indexed: 07/25/2024] Open
Abstract
BACKGROUND A significant percentage of patients with acute coronary syndrome (ACS) without standard modifiable cardiovascular risk factors (SMuRFs) are being identified. Nonetheless, the prognostic influence of the TyG index on adverse events in this type of patient remains unexplored. The aim of this study was to assess the prognostic value of the TyG index among ACS patients without SMuRFs for predicting adverse outcomes. METHODS This study involved 1140 consecutive patients who were diagnosed with ACS without SMuRFs at Beijing Anzhen Hospital between May 2018 and December 2020 and underwent coronary angiography. Each patient was followed up for a period of 35 to 66 months after discharge. The objective of this study was to examine major adverse cardiac and cerebrovascular events (MACCE), which included all-cause mortality, non-fatal myocardial infarction, non-fatal ischemic stroke, as well as ischemia-driven revascularization. RESULTS During the median follow-up period of 48.3 months, 220 (19.3%) MACCE events occurred. The average age of the participants was 59.55 ± 10.98 years, and the average TyG index was 8.67 ± 0.53. In the fully adjusted model, when considering the TyG index as either a continuous/categorical variable, significant associations with adverse outcomes were observed. Specifically, for each 1 standard deviation increase in the TyG index within the highest TyG index group, there was a hazard ratio (HR) of 1.245 (95% confidence interval CI 1.030, 1.504) for MACCE and 1.303 (95% CI 1.026, 1.653) for ischemia-driven revascularization (both P < 0.05), when the TyG index was analyzed as a continuous variable. Similarly, when the TyG index was examined as a categorical variable, the HR (95% CI) for MACCE in the highest TyG index group was 1.693 (95% CI 1.051, 2.727) (P < 0.05) in the fully adjusted model, while the HR (95% CI) for ischemia-driven revascularization was 1.855 (95% CI 0.998, 3.449) (P = 0.051). Additionally, the TyG index was found to be associated with a poor prognosis among the subgroup. CONCLUSION The TyG index is correlated with poor prognosis in patients with ACS without SMuRFs, suggesting that it may be an independent predictive factor of adverse events among these individuals.
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Affiliation(s)
- Xiaoming Zhang
- Department of Cardiology, Beijing Anzhen Hospital, 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
| | - Yu Du
- Department of Cardiology, Beijing Anzhen Hospital, 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
| | - Tianhao Zhang
- Department of Cardiology, Beijing Anzhen Hospital, 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, 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
| | - Qianyun Guo
- Department of Cardiology, Beijing Anzhen Hospital, 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
| | - Xiaoteng Ma
- Department of Cardiology, Beijing Anzhen Hospital, 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, 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, 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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8
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Li J, Ye P, Peng X, Xiang G. The roles of lipids and inflammation in the association between the triglyceride-glucose index and arterial stiffness: evidence from two large population-based surveys. Lipids Health Dis 2024; 23:190. [PMID: 38909224 PMCID: PMC11193289 DOI: 10.1186/s12944-024-02183-0] [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: 04/28/2024] [Accepted: 06/13/2024] [Indexed: 06/24/2024] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index is a risk marker for arterial stiffness; however, the extent to which the TyG index is associated with arterial stiffness via lipids and inflammation remains unknown. The first aim was to probe the relationship between the TyG index and arterial stiffness in two surveys. The second aim was to clarify whether lipids and inflammation mediate this relationship. METHODS The sample size of 13,726 U.S. individuals from the National Examination Survey (NHANES) and 3,964 Chinese individuals from the China Health and Retirement Longitudinal Study (CHARLS 2015) were enrolled. Weighted multivariate logistic and linear regression models, as well as restricted cubic spline (RCS) and mediation analyses, were utilized to estimate complex relationships between the TyG index, arterial stiffness, lipids (non-high-density lipoprotein cholesterol [non-HDL-C]) and inflammation (C-reactive protein [CRP]) biomarkers. RESULTS A total of 3,420 U.S. patients and 992 Chinese patients were diagnosed with increased arterial stiffness. Regression analyses demonstrated that higher quartiles of the TyG index were associated with a greater incidence of increased arterial stiffness (NHANES: OR = 2.610, 95% CI = 2.043-3.334, P < 0.001; CHARLS: OR = 1.579, 95% CI = 1.057-2.360, P < 0.001). Participants with a higher TyG index/higher CRP level or with a higher TyG index/higher non-HDL-C level had the highest incidence of increased arterial stiffness in the two surveys. The results were still consistent when the sensitivity analysis was implemented with stricter clinical cut-off values of non-HDL-C. Mediation analysis verified that lipids (mediated effect: β = 0.012, P < 0.001 in NHANES; β = 0.020, P < 0.001 in CHARLS) and inflammation (mediated effect: β = 0.003, P < 0.001 in NHANES; β = 0.006, P < 0.001 in CHARLS) partially mediated this relationship. CONCLUSIONS These results indicated a positive linear correlation between the TyG index, non-HDL-C level, CRP level and increased arterial stiffness in two surveys. Furthermore, lipids and inflammation could partly mediate the correlation of the TyG index with arterial stiffness in both surveys.
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Affiliation(s)
- Jinlian Li
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, 510515, China
- Department of Endocrinology, General Hospital of Central Theater Command, Wuhan, Hubei, 430070, China
| | - Pei Ye
- Shantou University Medical College, Shantou, Guangdong, China
| | - Xiangyan Peng
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, 510515, China
- Department of Endocrinology, General Hospital of Central Theater Command, Wuhan, Hubei, 430070, China
| | - Guangda Xiang
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, 510515, China.
- Department of Endocrinology, General Hospital of Central Theater Command, Wuhan, Hubei, 430070, China.
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9
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Zhang W, Huo W, Hu H, Li T, Yuan L, Zhang J, Feng Y, Wu Y, Fu X, Ke Y, Wang M, Wang L, Chen Y, Gao Y, Li X, Sun L, Pang J, Zheng Z, Hu F, Zhang M, Liu Y, Hu D, Zhao Y. Dose-response associations of triglyceride to high-density lipoprotein cholesterol ratio and triglyceride-glucose index with arterial stiffness risk. Lipids Health Dis 2024; 23:115. [PMID: 38643148 PMCID: PMC11031917 DOI: 10.1186/s12944-024-02095-z] [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: 02/20/2024] [Accepted: 03/27/2024] [Indexed: 04/22/2024] Open
Abstract
BACKGROUND The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceride-glucose (TyG) index are novel indexes for insulin resistance (IR). We aimed to evaluate associations of TG/HDL-C and TyG with arterial stiffness risk. METHODS We enrolled 1979 participants from the Rural Chinese Cohort Study, examining arterial stiffness by brachial-ankle pulse wave velocity (baPWV). Logistic and linear regression models were employed to calculate effect estimates. For meta-analysis, we searched relevant articles from PubMed, Embase and Web of Science up to August 26, 2023. The fixed-effects or random-effects models were used to calculate the pooled estimates. We evaluated dose-response associations using restricted cubic splines. RESULTS For cross-sectional studies, the adjusted ORs (95%CIs) for arterial stiffness were 1.12 (1.01-1.23) and 1.78 (1.38-2.30) for per 1 unit increment in TG/HDL-C and TyG. In the meta-analysis, the pooled ORs (95% CIs) were 1.26 (1.14-1.39) and 1.57 (1.36-1.82) for per 1 unit increment of TG/HDL-C and TyG. Additionally, both TG/HDL-C and TyG were positively related to PWV, with β of 0.09 (95% CI 0.04-0.14) and 0.57 (95% CI 0.35-0.78) m/s. We also found linear associations of TG/HDL-C and TyG with arterial stiffness risk. CONCLUSIONS High TG/HDL-C and TyG were related to increased arterial stiffness risk, indicating TG/HDL-C and TyG may be convincing predictors of arterial stiffness.
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Affiliation(s)
- Wenkai Zhang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Weifeng Huo
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Huifang Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Tianze Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Lijun Yuan
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Jinli Zhang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yifei Feng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yuying Wu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xueru Fu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yamin Ke
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Mengmeng Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Longkang Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yaobing Chen
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yajuan Gao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xi Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Liang Sun
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - Jinyuan Pang
- Department of Preventive Medicine, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Zeqiang Zheng
- Department of Preventive Medicine, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, school of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
- Guangdong provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Ming Zhang
- Department of Biostatistics and Epidemiology, school of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
- Guangdong provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yu Liu
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China.
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China.
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10
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Liu G. Association between the metabolic score for insulin resistance (METS-IR) and arterial stiffness among health check-up population in Japan: a retrospective cross-sectional study. Front Endocrinol (Lausanne) 2024; 14:1308719. [PMID: 38229737 PMCID: PMC10789854 DOI: 10.3389/fendo.2023.1308719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 11/28/2023] [Indexed: 01/18/2024] Open
Abstract
Aim This study examined the association between the metabolic score for insulin resistance (METS-IR), a novel surrogate indicator of insulin resistance, and brachial-ankle pulse wave velocity (baPWV) in Japanese health check participants. Methods A cross-sectional research was conducted involving individuals in a program of medical health screening at the Medical Health Check-up Center in Japan. The study assessed the connection between METS-IR and baPWV in 912 participants who joined the program between 3/1/2004 and 12/31/2012. Serum laboratory tests and lifestyle surveys were the covariates. Multivariate linear regression analysis and subgroup analyses were performed. Results 912 participants were involved in this cross-sectional study. Adjusted for age, sex, BMI, AST, UA, HDL, eGFR, ankle-brachial index (ABI), alcohol consumption, and smoking status, multivariate linear regression analysis showed that METS-IR and baPWV showed a significant positive association (adjusted β=15.3, 95% confidence interval (CI): 6.61~23.98) with METS-IR as a continuous variable. When converting METS-IR to quartile categorical variables, higher quartile METS-IR indices had longer baPWV (Q3 vs Q1, β=86.14, 95% CI: 23.45~148.83; Q4 vs Q1, β=125.41, 95% CI: 39.99~210.84). In subgroup analysis, METS-IR was associated with baPWV in people with eGFR > 60 ml/min (adjusted β= 14.44, 95% CI: 5.61~23.26, P=0.001), none or light alcohol consumption (adjusted β=16.92, 95% CI: 6.85~27, P=0.001), non-smokers (adjusted β=15.48, 95% CI: 5.86~25.1, P=0.002), non-regular exercisers(adjusted β=17.34, 95% CI: 8.03~26.65, P<0.001), non-fatty liver (adjusted β=17.65, 95% CI: 5.92~29.39, P=0.003), and non-hypertensive (adjusted β=16.13, 95% CI:8.45~23.8, P<0.001). Conclusion METS-IR are remarkably associated with baPWV among health check-up participants in Gifu, Japan. As a simple, easily calculated predictor of arterial stiffness, METS-IR could be considered for primary care as a monitoring tool to identify people with high risk of cardiovascular disease in order to intervene early on risk factors. Future prospective, large-sample researches are still needed to confirm this.
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Affiliation(s)
- Gailing Liu
- Department of Nephrology, People’s Hospital of Zhengzhou University, He’nan Provincial People’s Hospital, He’nan Provincial Key Laboratory of Kidney Disease and Immunology, Zhengzhou, China
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11
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Sun J, Wang N, Li S, Li M, Zhang A, Qin B, Bao Q, Cheng B, Cai S, Wang S, Zhu P. Estimated glucose disposal rate and risk of arterial stiffness and long-term all-acuse mortality: a 10-year prospective study. J Epidemiol Community Health 2023; 78:jech-2023-220664. [PMID: 38123967 DOI: 10.1136/jech-2023-220664] [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: 04/02/2023] [Accepted: 12/01/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND To assess the applicability of the association between estimated glucose disposal rate (eGDR) and all-cause mortality in the elderly population, and the mediating role of brachial-ankle pulse wave velocity (baPWV). METHODS This was a follow-up cohort study based on the cross-sectional survey of community-dwelling elderly. All participants in the study were included between September 2009 and June 2010, and the follow-up time was December 2020. Participants included 1862 Chinese community-dwelling elderly aged 60 years and above. Insulin resistance assessed by eGDR and arterial stiffness assessed by baPWV were the primary exposures of interest. Mortality, which was followed up until December 2020, was the primary outcome. Cox proportional hazards regression models were used to estimate the association of eGDR with mortality. The mediating effect of baPWV in this association was assessed by mediation analysis. RESULTS A total of 1826 participants with a mean age of 71.03 years old were included in the study. During the median follow-up of 10.75 years, 334 participants died. The adjusted HR comparing the highest versus the lowest eGDR quartile was 0.22 (95% CI 0.09 to 0.54; p<0.001) in the Cox proportional hazards model. The results of mediation analysis showed that baPWV had a significant mediation impact on the link between eGDR and all-cause mortality both as continuous or categorical variables. CONCLUSION eGDR is an independent predictor of all-cause mortality in the elderly population. baPWV partially mediated the association of eGDR and long-term all-cause mortality as a mediator factor.
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Affiliation(s)
- Jin Sun
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Ning Wang
- Jinan Seventh People's Hospital, Jinan, Shandong, China
| | | | - Man Li
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Anhang Zhang
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Bangguo Qin
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Qiligeer Bao
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Bokai Cheng
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Shuang Cai
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Shuxia Wang
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Ping Zhu
- Department of Geriatrics, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
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12
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Chen S, Li Z, Li H, Zeng X, Yuan H, Li Y. Novel lipid biomarkers and ratios as risk predictors for premature coronary artery disease: A retrospective analysis of 2952 patients. J Clin Hypertens (Greenwich) 2023; 25:1172-1184. [PMID: 37986641 PMCID: PMC10710552 DOI: 10.1111/jch.14751] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 10/23/2023] [Accepted: 10/30/2023] [Indexed: 11/22/2023]
Abstract
This study examined the associations between emerging lipid biomarkers (small dense low-density lipoprotein cholesterol [sdLDL-C), lipoprotein(a) [Lp(a)], and free fatty acids [FFA]), two ratios (sdLDL-C/LDL-C and the triglyceride-glucose [TyG) index), and the Gensini score (GS) in patients with premature coronary artery disease (PCAD) in relation to the extent of coronary stenosis. The authors evaluated a cohort of 2952 individuals undergoing coronary angiography (CAG), encompassing those with PCAD (n = 1749), late-onset coronary artery disease (LCAD; n = 328), and non-coronary artery disease (non-CAD; n = 575). Noteworthy differences were observed in the levels of the novel lipid biomarkers and ratio indexes among the PCAD, LCAD, and non-CAD groups (p < .05). Multiple logistic regression analyses pinpointed Lp(a) (OR = 2.62, 95% CI 1.22-5.63, p = .014) and the TyG index (OR = 2.53, 95% CI 1.08-5.93, p = .033) as independent risk factors for PCAD. Furthermore, these biomarkers and ratio indexes discerned substantial distinctions among PCAD patients with varying GS (p < .05). Consequently, these markers can proficiently anticipate the gravity of coronary artery stenosis (GS > 40) in PCAD patients, as evidenced by the ROC analysis. In conclusion, sdLDL-C, Lp(a), FFA, and the sdLDL-C/LDL-C and TyG indexes have considerable potential as risk and diagnostic markers for coronary artery stenosis in individuals afflicted with PCAD.
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Affiliation(s)
- Si Chen
- Department of Clinical LaboratoryPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- State Key Laboratory of ComplexSevere and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department of Clinical LaboratoryBeijing Anzhen HospitalCapital Medical UniversityBeijingChina
| | - Zhan Li
- Department of Clinical LaboratoryPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- State Key Laboratory of ComplexSevere and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Haolong Li
- Department of Clinical LaboratoryPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- State Key Laboratory of ComplexSevere and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xiaoli Zeng
- Department of Clinical LaboratoryBeijing Anzhen HospitalCapital Medical UniversityBeijingChina
| | - Hui Yuan
- Department of Clinical LaboratoryBeijing Anzhen HospitalCapital Medical UniversityBeijingChina
| | - Yongzhe Li
- Department of Clinical LaboratoryPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- State Key Laboratory of ComplexSevere and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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13
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Mao J, Gan S, Zhou Q, Yu F, Zhou H, Lu H, Jin J, Liu Q, Deng Z. Positive correlation between lipid accumulation product index and arterial stiffness in Chinese patients with type 2 diabetes. Front Endocrinol (Lausanne) 2023; 14:1277162. [PMID: 38075069 PMCID: PMC10702222 DOI: 10.3389/fendo.2023.1277162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 11/06/2023] [Indexed: 12/18/2023] Open
Abstract
Background Many studies have confirmed that lipid accumulation products (LAP) predict arterial stiffness (AS) in hypertensive patients. But there is little research on the use of LAP in identifying early atherosclerosis in patients with type 2 diabetes mellitus (T2DM). The aim of this study was to determine the relationship between the LAP index and brachial-ankle pulse wave velocity (baPWV) in Chinese patients with T2DM. Methods A total of 1471 Chinese participants with T2DM, ranging in age from 18 to 80, were included in this cross-sectional study. BaPWV measurements were used to calculate the AS. A baPWV greater than the 75th percentile (1700 cm/s) was defined as indicating increased AS. The LAP index was calculated from the combination of waist circumference (WC) and triglycerides (TG). Results According to the quartiles of the LAP index, baPWV tended to increase after adjusting for sex and age. Multiple linear regression analysis showed that the beta coefficient (β) of baPWV increased by 31.0 cm/s for each unit of lnLAP that was increased, and the 95% confidence interval (CI) was (6.5, 55.5) cm/s. In multivariate logistic regression analyses, after fully adjusting for confounders, the risk of elevated baPWV increased with each unit increase in lnLAP, with an odds ratio (OR) of 1.3 (95% CI: 1.0, 1.8). According to the generalized additive model (GAM), we found that lnLAP was positively correlated with baPWV and baPWV elevation. The results were the same for males and females. Subgroup analyses showed that the positive correlation between lnLAP and elevated baPWV did not interact across all subgroups. Conclusions In Chinese patients with T2DM, LAP was strongly and positively correlated with baPWV and elevated baPWV.
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Affiliation(s)
- Jing Mao
- Department of Medicine, University of South China, Hengyang, Hunan, China
| | - Shenglian Gan
- Department of Endocrinology, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, China
| | - Quan Zhou
- Department of Science and Education, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, China
| | - Fang Yu
- Department of Endocrinology, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, China
| | - Haifeng Zhou
- Department of Endocrinology, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, China
| | - Huilin Lu
- Department of Endocrinology, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, China
| | - Jing Jin
- Department of Endocrinology, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, China
| | - Qin Liu
- Department of Endocrinology, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, China
| | - Zhiming Deng
- Department of Endocrinology, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, China
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Yuan Y, Chen S, Lin C, Huang X, Lin S, Huang F, Zhu P. Association of triglyceride-glucose index trajectory and frailty in urban older residents: evidence from the 10-year follow-up in a cohort study. Cardiovasc Diabetol 2023; 22:264. [PMID: 37775740 PMCID: PMC10542691 DOI: 10.1186/s12933-023-02002-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/22/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND Frailty is an age-related geriatric syndrome that leads to a series of clinically negative events. A better understanding of the factors associated with frailty assists in preventing its progression. The triglyceride-glucose (TyG) index, a simple alternative index of insulin resistance, has not yet been proven to be associated with frailty. The present study aimed to investigate the association between the TyG index and its trajectory with frailty from a cross-sectional, retrospective and prospective level based on an ongoing cohort. METHODS This longitudinal study included 1,866 older residents from the "Fujian prospective aging cohort" (ChiCTR 2,000,032,949). The TyG index was calculated as ln [fasting triglyceride (mg/dL) ╳ fasting plasma glucose (mg/dL)/2] and group-based trajectory model (GBTM) was applied to identify the trajectory of TyG index. The association between different trajectory groups of TyG index with frailty risk were estimated using multinomial logistic regression analysis. RESULTS In the cross-sectional analysis, the highest quartile of the TyG index was associated with an increased risk of frailty (TyG index Q4 vs. Q1, OR = 1.50, 95% CI 1.00-2.25, P = 0.048). Restricted cubic splines demonstrated an increasing trend for TyG index and frailty risk. During a follow-up of ten years, three distinct trajectories of the TyG index were identified: low-stable (n = 697, 38.3%), moderate-stable (n = 910, 50.0%) and high-stable (n = 214, 11.7%). Compared with those in the stable-low group of TyG index trajectory, the ORs (95% CI) of prefrailty and frailty risk were 1.79 (95% CI 1.11-2.88) and 2.17 (95% CI 1.01-3.88) for the high-stable group, respectively (P = 0.017 and P = 0.038). In the subgroup analysis, the association of the high-stable trajectory of TyG and frailty status were only observed in subjects with BMI ≥ 24 kg/m2. Prospectively, the highest quartile of the TyG index was associated with a 2.09-fold significantly increased risk of one-year ADL/IADL decline (P = 0.045). CONCLUSIONS The present study suggests a potential role for a high and sustainable level of TyG index in the risk of frailty. The trajectories of the TyG index can help to identify older individuals at a higher risk of frailty who deserve primitive preventive and therapeutic approaches.
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Affiliation(s)
- Yin Yuan
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, China
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, China
- Fujian Provincial Center of Geriatrics, Fuzhou, China
- Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, China
| | | | - Chunjin Lin
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, China
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, China
- Fujian Provincial Center of Geriatrics, Fuzhou, China
- Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, China
| | - Xiaoming Huang
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, China
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, China
- Fujian Provincial Center of Geriatrics, Fuzhou, China
- Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, China
| | - Siyang Lin
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, China
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, China
- Fujian Provincial Center of Geriatrics, Fuzhou, China
- Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, China
| | - Feng Huang
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, China.
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
- Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, China.
- Fujian Provincial Center of Geriatrics, Fuzhou, China.
- Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, China.
| | - Pengli Zhu
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, China.
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
- Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, China.
- Fujian Provincial Center of Geriatrics, Fuzhou, China.
- Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, China.
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15
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Liu F, Ling Q, Xie S, Xu Y, Liu M, Hu Q, Ma J, Yan Z, Gao Y, Zhao Y, Zhu W, Yu P, Luo J, Liu X. Association between triglyceride glucose index and arterial stiffness and coronary artery calcification: a systematic review and exposure-effect meta-analysis. Cardiovasc Diabetol 2023; 22:111. [PMID: 37179288 PMCID: PMC10183133 DOI: 10.1186/s12933-023-01819-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/30/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND The triglyceride and glucose (TyG) index has been linked to various cardiovascular diseases. However, it's still unclear whether the TyG index is associated with arterial stiffness and coronary artery calcification (CAC). METHODS We conducted a systematic review and meta-analysis of relevant studies until September 2022 in the PubMed, Cochrane Library, and Embase databases. We used a random-effects model to calculate the pooled effect estimate and the robust error meta-regression method to summarize the exposure-effect relationship. RESULTS Twenty-six observational studies involving 87,307 participants were included. In the category analysis, the TyG index was associated with the risk of arterial stiffness (odds ratio [OR]: 1.83; 95% CI 1.55-2.17, I2 = 68%) and CAC (OR: 1.66; 95% CI 1.51-1.82, I2 = 0). The per 1-unit increment in the TyG index was also associated with an increased risk of arterial stiffness (OR: 1.51, 95% CI 1.35-1.69, I2 = 82%) and CAC (OR: 1.73, 95% CI 1.36-2.20, I2 = 51%). Moreover, a higher TyG index was shown to be a risk factor for the progression of CAC (OR = 1.66, 95% CI 1.21-2.27, I2 = 0, in category analysis, OR = 1.47, 95% CI 1.29-1.68, I2 = 41% in continuity analysis). There was a positive nonlinear association between the TyG index and the risk of arterial stiffness (Pnonlinearity < 0.001). CONCLUSION An elevated TyG index is associated with an increased risk of arterial stiffness and CAC. Prospective studies are needed to assess causality.
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Affiliation(s)
- Fuwei Liu
- Present Address: Department of Cardiology, The Affiliated Ganzhou Hospital of Nanchang University, Jiangxi, China
| | - Qin Ling
- Present Address: Department of Cardiology, The Affiliated Ganzhou Hospital of Nanchang University, Jiangxi, China
- The Second Clinical Medical College of Nanchang University, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006 China
| | - Shaofeng Xie
- Present Address: Department of Cardiology, The Affiliated Ganzhou Hospital of Nanchang University, Jiangxi, China
| | - Yi Xu
- The Second Clinical Medical College of Nanchang University, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006 China
| | - Menglu Liu
- Department of Cardiology, Seventh People’s Hospital of Zhengzhou, Zhengzhou, Henan China
| | - Qingwen Hu
- The Second Clinical Medical College of Nanchang University, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006 China
| | - Jianyong Ma
- Department of Pharmacology and Systems Physiology, University of Cincinnati College of Medicine, Cincinnati, USA
| | - Zhiwei Yan
- Department of Sports Rehabilitation, College of Human Kinesiology, Shenyang Sport University, Shenyang, China
- Provincial University Key Laboratory of Sport and Health Science, School of Physical Education and Sport Sciences, Fujian Normal University, Fuzhou, Fujian China
| | - Yan Gao
- Department of Sports Rehabilitation, College of Human Kinesiology, Shenyang Sport University, Shenyang, China
| | - Yujie Zhao
- Department of Cardiology, Seventh People’s Hospital of Zhengzhou, Zhengzhou, Henan China
| | - Wengen Zhu
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong China
| | - Peng Yu
- Department of Endocrine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi China
| | - Jun Luo
- Present Address: Department of Cardiology, The Affiliated Ganzhou Hospital of Nanchang University, Jiangxi, China
| | - Xiao Liu
- Department of Cardiology, The Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, Guangdong China
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16
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Zhong H, Shao Y, Guo G, Zhan Y, Liu B, Shao M, Li L. Association between the triglyceride-glucose index and arterial stiffness: A meta-analysis. Medicine (Baltimore) 2023; 102:e33194. [PMID: 36897703 PMCID: PMC9997783 DOI: 10.1097/md.0000000000033194] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 02/14/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Studies have shown a strong association between the triglyceride-glucose (TyG) index, a simple marker of insulin resistance, and various metabolic diseases. We performed a systematic review of the interaction between the TyG index and arterial stiffness. METHODS Relevant observational studies assessing the association between the TyG index and arterial stiffness were thoroughly searched in PubMed, Embase, and Scopus, and a manual search of the preprint server was conducted. A random-effects model was utilized to analyze the data. The risk of bias for the included studies was assessed using the Newcastle-Ottawa Scale. A pooled effect size estimate with a random-effects model was used for the meta-analysis. RESULTS Thirteen observational studies comprising 48,332 subjects were included. Of these, 2 were prospective cohort studies, and the remaining 11 were cross-sectional studies. According to the results of the analysis, the risk of developing high arterial stiffness was 1.85 times greater for those in the highest TyG index subgroup versus the lowest group (risk ratio [RR]: 1.85, 95% confidence interval: 1.54-2.33, I2 = 70%, P < .001). Consistent results were observed when the index was analyzed as a continuous variable (RR: 1.46, 95% confidence interval: 1.32-1.61, I2 = 77%, P < .001). A sensitivity analysis excluding each of the studies one by one yielded similar results (RRs for categorical variables: 1.67-1.94, P all <.001; RRs for continuous variables: 1.37-1.48, P all <.001). A subgroup analysis showed that different characteristics of the study subjects, such as type of study design, age, population, disease status, (including hypertension and diabetes), and pulse wave velocity measurement methods had no substantial effect on the results (P for subgroup analysis, all >0.05). CONCLUSIONS A relatively high TyG index might be linked to an increased incidence of arterial stiffness.
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Affiliation(s)
- Huiqin Zhong
- Department of Gastroenterology, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Ya Shao
- Sino-Canada Health Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Guangling Guo
- Sino-Canada Health Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yan Zhan
- Department of Nursing, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Bin Liu
- Department of Pharmacy, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Meiling Shao
- Department of Pharmacy, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Longti Li
- Department of Nursing, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
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17
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Shen J, Feng B, Fan L, Jiao Y, Li Y, Liu H, Hou X, Su Y, Li D, Fu Z. Triglyceride glucose index predicts all-cause mortality in oldest-old patients with acute coronary syndrome and diabetes mellitus. BMC Geriatr 2023; 23:78. [PMID: 36747129 PMCID: PMC9901061 DOI: 10.1186/s12877-023-03788-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 02/01/2023] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Acute coronary syndrome (ACS) and diabetes mellitus (DM) are the leading health risks for the elderly. Triglyceride-glucose (TyG) index is a novel and reliable indicator of insulin resistance (IR). This study aims to explore the relationship between the TyG index and all-cause mortality in oldest-old patients with ACS and DM. METHODS Seven hundred twenty hospitalized patients with ACS aged ≥ 80 years were enrolled, and 699 patients signed informed consent for the study. During the follow-up period, 37 were lost to follow-up, and the follow-up rate was 94.7%. 231 ACS patients with DM were selected for the study's analyses. Kaplan-Meier curve, Cox regression model and receiver operating characteristic (ROC) curve were used to analyze the association between the TyG index and all-cause mortality. RESULTS The mean age of participants was 81.58 ± 1.93 years, and 32.47% were women. Compared to TyG tertile 1, the Hazard Ratio (HR) [95% confidence interval (CI)] of all-cause mortality was 2.04 (1.09, 3.81) for TyG tertile 3 in the fully adjusted model. For the TyG index per standard deviation (SD) increment, the HR (95% CI) of all-cause mortality was 1.44 (1.13, 1.83). Further, the association between the TyG index and all-cause mortality was dose-response (P for trend = 0.026). ROC curve analyses indicated that the TyG index outperformed FBG and TG in the prediction of mortality risk and improved the prognostic value of the Gensini score combined with LVEF. CONCLUSION The TyG index predicts the risk of all-cause mortality in the oldest-old ACS patients with DM.
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Affiliation(s)
- Jian Shen
- grid.488137.10000 0001 2267 2324Senior Department of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, 100853 Beijing, China ,Outpatient Department of Tongzhou Retired Cadres Rest Center, Beijing, 101149 China
| | - Bin Feng
- grid.488137.10000 0001 2267 2324Senior Department of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, 100853 Beijing, China
| | - Li Fan
- grid.488412.3Department of Nutrition, Children’s Hospital of Chongqing Medical University, Chongqing, 400014 China
| | - Yang Jiao
- grid.488137.10000 0001 2267 2324Senior Department of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, 100853 Beijing, China
| | - Ying Li
- grid.488137.10000 0001 2267 2324Senior Department of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, 100853 Beijing, China
| | - Henan Liu
- grid.488137.10000 0001 2267 2324Senior Department of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, 100853 Beijing, China
| | - Xiaoling Hou
- grid.488137.10000 0001 2267 2324Senior Department of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, 100853 Beijing, China
| | - Yongkang Su
- grid.488137.10000 0001 2267 2324Senior Department of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, 100853 Beijing, China
| | - Dongyun Li
- Department of the First Health Care, the Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Zhenhong Fu
- Senior Department of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, 100853, Beijing, China.
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18
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Huang H, Li Q, Liu J, Qiao L, Chen S, Lai W, Kang Y, Lu X, Zhou Y, He Y, Chen J, Tan N, Liu J, Liu Y. Association between triglyceride glucose index and worsening heart failure in significant secondary mitral regurgitation following percutaneous coronary intervention. Cardiovasc Diabetol 2022; 21:260. [PMID: 36443743 PMCID: PMC9706938 DOI: 10.1186/s12933-022-01680-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Accepted: 10/27/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND The triglyceride glucose (TyG) index is an alternative to insulin resistance (IR) as an early indicator of worsening heart failure (HF). Patients with secondary mitral regurgitation (sMR) often experience progressive deterioration of cardiac function. This study aimed to investigate the relationship between the TyG index and worsening of HF in significant sMR (grade ≥ 2) following percutaneous coronary intervention (PCI). METHODS This study enrolled participants with significant sMR following PCI from a multicenter cohort study. The patients were divided into the following 3 groups according to tertiles of TyG index: T1, TyG ≤ 8.51; T2, TyG > 8.51 to ≤ 8.98; and T3, TyG > 8.98. The main clinical outcome was worsening HF including unplanned rehospitalization or unscheduled physician office/emergency department visit due to HF and unplanned mitral valve surgery. RESULTS A total of 922 patients (mean ± SD age, 64.1 ± 11.0 years; 79.6% male) were enrolled. The incidence of worsening HF was 15.5% in T1, 15.7% in T2, and 26.4% in T3. In the multivariable model, the highest TyG tertile (T3 group) was more strongly correlated with worsening HF than the lowest tertile (T1 group) after adjusting for confounders (adjusted hazard ratio, 2.44; 95% confidence interval, 1.59-3.72; P < 0.001). The addition of TyG to risk factors such as N-terminal pro brain natriuretic peptide and clinical models improved the predictive ability of TyG for worsening HF. CONCLUSIONS Elevated preprocedural TyG index is a significant and independent risk factor for worsening HF in sMR following PCI that can be used for risk stratification.
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Affiliation(s)
- Haozhang Huang
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,grid.284723.80000 0000 8877 7471The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515 China
| | - Qiang Li
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China
| | - Jiulin Liu
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,grid.284723.80000 0000 8877 7471The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515 China
| | - Linfang Qiao
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,grid.284723.80000 0000 8877 7471The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515 China
| | - Shiqun Chen
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China
| | - Wenguang Lai
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China
| | - Yu Kang
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China
| | - Xiaozhao Lu
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China
| | - Yang Zhou
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China
| | - Yibo He
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China
| | - Jiyan Chen
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,grid.284723.80000 0000 8877 7471The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515 China
| | - Ning Tan
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,grid.284723.80000 0000 8877 7471The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515 China
| | - Jin Liu
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China
| | - Yong Liu
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 China ,grid.284723.80000 0000 8877 7471The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515 China
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19
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Sajdeya O, Beran A, Mhanna M, Alharbi A, Burmeister C, Abuhelwa Z, Malhas SE, Khader Y, Sayeh W, Assaly R, Moukarbel GV. Triglyceride glucose index for the prediction of subclinical atherosclerosis and arterial stiffness: A meta-analysis of 37,780 individuals. Curr Probl Cardiol 2022; 47:101390. [PMID: 36103942 DOI: 10.1016/j.cpcardiol.2022.101390] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 09/05/2022] [Accepted: 09/07/2022] [Indexed: 11/16/2022]
Abstract
Insulin resistance (IR), which can be assessed by triglyceride-glucose (TyG) index, is a major contributor to the pathogenesis of cardiovascular diseases. Arterial stiffness is an index of subclinical atherosclerosis. We conducted this systematic review and meta-analysis to summarize the existing studies and provide a quantitative assessment of the significance of the TyG index in predicting the incidence of subclinical atherosclerosis and arterial stiffness. A comprehensive literature search in PubMed, EMBASE, and Web of Science databases from inception until 30 April 2022 was conducted. Published observational studies that evaluated the association between TyG index and arterial stiffness among the adult population and reported odds ratio (OR) for this association after multivariate analysis were included. The random-effects model was used for the estimation of pooled ORs with the corresponding confidence intervals (CIs). A total of 9 observational studies, including 37780 participants, were included. Seven out of the 9 studies analyzed the TyG index as a categorical variable and showed a statistically significant association between TyG index and incident arterial stiffness (pooled OR 1.96, 95% CI 1.52-2.53, P<0.00001, I2=82%). Additionally, similar results were in the three studies that analyzed TyG index as a continuous variable (pooled OR 1.37, 95% CI 1.26-1.49, P<0.00001, I2=0%). In conclusion, our meta-analysis demonstrates that a higher TyG index is associated with higher odds of subclinical atherosclerosis and arterial stiffness. TyG index may be used as an independent predictor of an increased risk of subclinical atherosclerosis and arterial stiffness.
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Affiliation(s)
- Omar Sajdeya
- Department of Medicine, University of Toledo, Toledo, Ohio
| | | | | | | | | | - Ziad Abuhelwa
- Department of Medicine, University of Toledo, Toledo, Ohio
| | | | - Yasmin Khader
- Department of Medicine, University of Toledo, Toledo, Ohio
| | - Wasef Sayeh
- Department of Medicine, University of Toledo, Toledo, Ohio
| | - Ragheb Assaly
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Toledo, Toledo, Ohio
| | - George V Moukarbel
- Division of Cardiovascular Medicine, Department of Medicine, University of Toledo, Toledo, Ohio.
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20
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Zhang X, Ye R, Yu C, Liu T, Chen X. Correlation Between Non-insulin-Based Insulin Resistance Indices and Increased Arterial Stiffness Measured by the Cardio–Ankle Vascular Index in Non-hypertensive Chinese Subjects: A Cross-Sectional Study. Front Cardiovasc Med 2022; 9:903307. [PMID: 35865388 PMCID: PMC9295890 DOI: 10.3389/fcvm.2022.903307] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 06/13/2022] [Indexed: 11/13/2022] Open
Abstract
Data are limited on the relationship between the cardio–ankle vascular index (CAVI) and non-insulin-based insulin resistance (IR) indices, including the triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C), fasting triglyceride and glucose index (TyG), and metabolic score for IR (METS-IR). In this study, we explored the relationship between TG/HDL-C, TyG, METS-IR, and the risk of increased arterial stiffness (CAVI ≥ 8.0) and compared their ability to detect arterial stiffness in the non-hypertensive Chinese population. A total of 3,265 non-hypertensive subjects were included. Spearman’s and partial correlation analyses were used to assess the relationship between non-insulin-based IR indices and CAVI. The correlation between these indices and the risk of a CAVI ≥ 8.0 was explored by multiple logistic regression analysis. The area under the receiver-operating characteristic curve was used to compare the ability of TG/HDL-C, TyG, and METS-IR to detect a CAVI ≥ 8.0. After adjustment for confounding factors, linear regression analysis showed that the CAVI changed by 0.092 [95% confidence interval (CI) 0.035–0.149] per standard deviation increase in TyG. While, this linear relationship was not found when analyzing TG/HDL-C and METS-IR. Multiple logistic regression analysis showed that the proportion of patients with CAVI ≥ 8.0 in the fourth quartile of TG/HDL-C [Q4 vs. Q1: odds ratio (OR) 2.434, 95% CI 1.489–3.975], TyG (Q4 vs. Q1: OR 2.346, 95% CI 1.413–3.896), and METS-IR (Q4 vs. Q1: OR 2.699, 95% CI 1.235–5.897) was significantly higher than that in the lowest quartile. The area under the curve that could discriminate CAVI ≥ 8.0 was 0.598 (95% CI 0.567–0.629) for TG/HDL-C, 0.636 (95% CI 0.606–0.667) for TyG, and 0.581 (95% CI 0.550–0.613) for METS-IR. In this study, we demonstrated a significant association between increased arterial stiffness and non-insulin-based IR indices. Among them, TyG showed better discriminatory ability than TG/HDL-C or METS-IR.
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Affiliation(s)
- Xin Zhang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Runyu Ye
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Chaoping Yu
- Department of Cardiology, Pidu District People’s Hospital, The 3rd Affiliated Hospital of Chengdu Medical College, Chengdu, China
| | - Tianhu Liu
- Department of Cardiology, Pidu District People’s Hospital, The 3rd Affiliated Hospital of Chengdu Medical College, Chengdu, China
- *Correspondence: Tianhu Liu,
| | - Xiaoping Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
- Xiaoping Chen,
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21
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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: 443] [Impact Index Per Article: 147.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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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22
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Yan Y, Wang D, Sun Y, Ma Q, Wang K, Liao Y, Chen C, Jia H, Chu C, Zheng W, Hu J, Yuan Y, Wang Y, Wu Y, Mu J. Triglyceride-glucose index trajectory and arterial stiffness: results from Hanzhong Adolescent Hypertension Cohort Study. Cardiovasc Diabetol 2022; 21:33. [PMID: 35216614 PMCID: PMC8876112 DOI: 10.1186/s12933-022-01453-4] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Accepted: 01/05/2022] [Indexed: 02/07/2023] Open
Abstract
Background The triglyceride-glucose index (TyG index) has emerged as a reliable surrogate marker of insulin resistance associated with arterial stiffness. However, most studies were based on a cross-sectional design, and few studies have evaluated the longitudinal impact of the TyG index on arterial stiffness. This study aimed to investigate the associations of single time point measurement and the long-term trajectory of the TyG index with arterial stiffness in a Chinese cohort. Methods Data are derived from the Hanzhong Adolescent Hypertension Cohort study. A total of 2480 individuals who participated in the 2017 survey was included in the cross-sectional analysis. A sample of 180 individuals from the sub-cohort with follow-up data in 2005, 2013, and 2017 was enrolled in the longitudinal analysis. The TyG index was calculated as ln (fasting triglyceride [mg/dL] × fasting glucose [mg/dL]/2), and arterial stiffness was determined using brachial-ankle pulse wave velocity (baPWV). The latent class growth mixture modeling method was used to identify the TyG index trajectories from 2005 to 2017. Results In the cross-sectional analysis, the median age of the study population was 42.8 (39.8, 44.9) years, and 1351 (54.5%) were males. Each one-unit increment in TyG index was associated with a 37.1 cm/s increase (95% confidence interval [CI] 23.7–50.6 cm/s; P < 0.001) in baPWV, and similar results were observed when the TyG index was in the form of quartiles. In the longitudinal analysis, we identified three distinct TyG index trajectories and found that the highest TyG index trajectory carried the greatest odds of increased arterial stiffness, with a fully adjusted odds ratio (OR) of 2.76 (95% CI 1.40, 7.54). Conclusions Elevated levels of baseline TyG index and higher long-term trajectory of TyG index were independently associated with increased arterial stiffness. Monitoring immediate levels and longitudinal trends of the TyG index may help with the prevention of arterial stiffness in the long run. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-022-01453-4.
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Affiliation(s)
- Yu Yan
- Department of Cardiology, First Affiliated Hospital of Medical School, Key Laboratory of Molecular Cardiology of Shaanxi Province, Ministry of Education, Xi'an Jiaotong University, Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), NO.277, Yanta West Road, Xi'an, 710061, Shaanxi, People's Republic of China
| | - Dan Wang
- Department of Cardiology, First Affiliated Hospital of Medical School, Key Laboratory of Molecular Cardiology of Shaanxi Province, Ministry of Education, Xi'an Jiaotong University, Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), NO.277, Yanta West Road, Xi'an, 710061, Shaanxi, People's Republic of China
| | - Yue Sun
- Department of Cardiology, First Affiliated Hospital of Medical School, Key Laboratory of Molecular Cardiology of Shaanxi Province, Ministry of Education, Xi'an Jiaotong University, Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), NO.277, Yanta West Road, Xi'an, 710061, Shaanxi, People's Republic of China
| | - Qiong Ma
- Department of Cardiology, First Affiliated Hospital of Medical School, Key Laboratory of Molecular Cardiology of Shaanxi Province, Ministry of Education, Xi'an Jiaotong University, Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), NO.277, Yanta West Road, Xi'an, 710061, Shaanxi, People's Republic of China
| | - Keke Wang
- Department of Cardiology, First Affiliated Hospital of Medical School, Key Laboratory of Molecular Cardiology of Shaanxi Province, Ministry of Education, Xi'an Jiaotong University, Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), NO.277, Yanta West Road, Xi'an, 710061, Shaanxi, People's Republic of China
| | - Yueyuan Liao
- Department of Cardiology, First Affiliated Hospital of Medical School, Key Laboratory of Molecular Cardiology of Shaanxi Province, Ministry of Education, Xi'an Jiaotong University, Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), NO.277, Yanta West Road, Xi'an, 710061, Shaanxi, People's Republic of China
| | - Chen Chen
- Department of Cardiology, First Affiliated Hospital of Medical School, Key Laboratory of Molecular Cardiology of Shaanxi Province, Ministry of Education, Xi'an Jiaotong University, Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), NO.277, Yanta West Road, Xi'an, 710061, Shaanxi, People's Republic of China
| | - Hao Jia
- Department of Cardiology, First Affiliated Hospital of Medical School, Key Laboratory of Molecular Cardiology of Shaanxi Province, Ministry of Education, Xi'an Jiaotong University, Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), NO.277, Yanta West Road, Xi'an, 710061, Shaanxi, People's Republic of China
| | - Chao Chu
- Department of Cardiology, First Affiliated Hospital of Medical School, Key Laboratory of Molecular Cardiology of Shaanxi Province, Ministry of Education, Xi'an Jiaotong University, Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), NO.277, Yanta West Road, Xi'an, 710061, Shaanxi, People's Republic of China
| | - Wenling Zheng
- Department of Cardiology, First Affiliated Hospital of Medical School, Key Laboratory of Molecular Cardiology of Shaanxi Province, Ministry of Education, Xi'an Jiaotong University, Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), NO.277, Yanta West Road, Xi'an, 710061, Shaanxi, People's Republic of China
| | - Jiawen Hu
- Department of Cardiovascular Surgery, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, China
| | - Yue Yuan
- Department of Cardiovascular Medicine, Jiangsu Province Hospital, Nanjing, China
| | - Yang Wang
- Department of Cardiology, First Affiliated Hospital of Medical School, Key Laboratory of Molecular Cardiology of Shaanxi Province, Ministry of Education, Xi'an Jiaotong University, Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), NO.277, Yanta West Road, Xi'an, 710061, Shaanxi, People's Republic of China
| | - Yuliang Wu
- Department of Cardiology, First Affiliated Hospital of Medical School, Key Laboratory of Molecular Cardiology of Shaanxi Province, Ministry of Education, Xi'an Jiaotong University, Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), NO.277, Yanta West Road, Xi'an, 710061, Shaanxi, People's Republic of China.
| | - Jianjun Mu
- Department of Cardiology, First Affiliated Hospital of Medical School, Key Laboratory of Molecular Cardiology of Shaanxi Province, Ministry of Education, Xi'an Jiaotong University, Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), NO.277, Yanta West Road, Xi'an, 710061, Shaanxi, People's Republic of China.
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Cui H, Liu Q, Wu Y, Cao L. Cumulative triglyceride-glucose index is a risk for CVD: a prospective cohort study. Cardiovasc Diabetol 2022; 21:22. [PMID: 35144621 PMCID: PMC8830002 DOI: 10.1186/s12933-022-01456-1] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 01/17/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Previous studies has shown a significant relationship between baseline triglyceride-glucose (TyG) index and cardiovascular disease (CVD). However, the long-term effect of TyG index and incident CVD remains uncertain. This study aimed to investigate the association between cumulative TyG index and the risk of CVD. METHOD In this study, we recruited individuals participating in Kailuan Study from 2006 to 2013 without stroke, myocardial infarction, and cancer in the four consecutive examinations. Cumulative TyG index was calculated by multiplying the average TyG index and the time between the two consecutive examinations. Cumulative TyG index levels were categorized into four quartile groups: Q1 group, ≤ 50.65 (as reference group), Q2 group, 50.65-53.86, Q3 group, 53.86-57.44, Q4 group, > 57.44. The association between cumulative TyG index and the risk of CVD was estimated by multivariable Cox proportional hazard models. RESULT A total of 44,064 individuals participated in the final analysis. After a mean follow-up of 6.52 ± 1.14 years, incident CVD, MI and stroke occurred in 2057, 395 and 1695, respectively. The risk of developing CVD increased with the quartile of cumulative in TyG index, after adjustment for multiple potential confounders, the HR for CVD events were 1.25 (1.08-1.44) in Q2, 1.22 (1.05-1.40) in Q3 and 1.39 (1.21-1.61) in Q4, compared to Q1 group. The longer duration of higher TyG index exposure was significantly associated with increased CVD risk. Similar results were obtained in the subgroup and sensitivity analysis. CONCLUSION Cumulative TyG index was associated with increased risk of CVD. Maintaining an appropriate level of TG and FBG within the desirable range and better control of cumulative TyG index are important for prevention of CVD.
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Affiliation(s)
- Haozhe Cui
- School of Medicine, Nankai University, Tianjin, China
- Department of Hepatobiliary Surgery, Kailuan General Hospital, Tangshan, 063000, China
| | - Qian Liu
- Department of Cardiology, Kailuan General Hospital, Tangshan, 063000, China
| | - Yuntao Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, 063000, China.
| | - Liying Cao
- Department of Hepatobiliary Surgery, Kailuan General Hospital, Tangshan, 063000, China.
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Jiao Y, Su Y, Shen J, Hou X, Li Y, Wang J, Liu B, Qiu D, Sun Z, Chen Y, Xi Q, Shen M, Fu Z. Evaluation of the long-term prognostic ability of triglyceride-glucose index for elderly acute coronary syndrome patients: a cohort study. Cardiovasc Diabetol 2022; 21:3. [PMID: 34991602 PMCID: PMC8740408 DOI: 10.1186/s12933-021-01443-y] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 12/29/2021] [Indexed: 12/13/2022] Open
Abstract
Background With the advancement of the world population aging, more attention should be paid to the prognosis of elderly patients with acute coronary syndrome (ACS). Triglyceride-glucose (TyG) index is a reliable indicator of insulin resistance (IR) and is closely related to traditional risk factors of cardiovascular disease (CVD). However, the effect of TyG index on the prognosis of long-term adverse events in elderly ACS patients has not been reported. This study evaluated the prognostic power of TyG index in predicting adverse events in elderly ACS patients. Methods In this study, 662 ACS patients > 80 years old who were hospitalized from January 2006 to December 2012 were enrolled consecutively and the general clinical data and baseline blood biochemical indicators were collected. The follow-up time after discharge was 40–120 months (median, 63 months; interquartile range, 51‒74 months). In addition, the following formula was used to calculate the TyG index: Ln [fasting TG (mg/dL) × FBG (mg/dL)/2], and patients were divided into three groups according to the tertile of the TyG index. Results The mean age of the subjects was 81.87 ± 2.14 years, the proportion of females was 28.10%, and the mean TyG index was 8.76 ± 0.72. The TyG index was closely associated with the traditional risk factors of CVD. In the fully-adjusted Cox regression model, the Hazard ratio (95% CI) of all-cause mortality (in tertile 3) was 1.64 (1.06, 2.54) and major adverse cardiac event (MACE) (in tertile 3) was 1.36 (1.05, 1.95) for each SD increase in the TyG index. The subgroup analyses also confirmed the significant association of the TyG index and long-term prognosis. Conclusion The TyG index is an independent predictor of long-term all-cause mortality and MACE in elderly ACS patients.
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Affiliation(s)
- Yang Jiao
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China
| | - Yongkang Su
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China.,Department of Geriatrics, The Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Jian Shen
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China
| | - Xiaoling Hou
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China
| | - Ying Li
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China
| | - Jihang Wang
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China.,Department of Cardiology, Hainan Hospital, Chinese PLA General Hospital, Sanya, 572000, Hainan, China
| | - Bing Liu
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China.,Department of Cardiology, 970 Hospital, Chinese PLA Joint Logistic Support Force, Weihai, 264200, Shandong, China
| | - Dongfeng Qiu
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China
| | - Zhijun Sun
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China
| | - Yundai Chen
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China
| | - Qing Xi
- The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Mingzhi Shen
- Department of Cardiology, Hainan Hospital, Chinese PLA General Hospital, Sanya, 572000, Hainan, China.
| | - Zhenhong Fu
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China.
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25
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Wang F, Wang J, Han Y, Shi X, Xu X, Hou C, Gao J, Zhu S, Liu X. Triglyceride-glucose index and stroke recurrence in elderly patients with ischemic stroke. Front Endocrinol (Lausanne) 2022; 13:1005614. [PMID: 36105408 PMCID: PMC9467280 DOI: 10.3389/fendo.2022.1005614] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 08/11/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND AND PURPOSE This study aimed to explore the association between triglyceride-glucose (TyG) index and stroke recurrence in elderly patients with ischemic stroke in China. METHODS We enrolled ischemic stroke patients aged ≥ 65 years from the Nanjing Stroke Registry Program. The primary endpoint was defined as recurrent stroke within one year after the index stroke. We used multivariable Cox proportional hazards regression models to investigate the association between TyG index and stroke recurrence. We assessed the discriminative ability of TyG index with the receiver operative characteristic and the area under the curve. RESULTS A total of 955 patients (median age, 70.0 [67.0, 75.0]; male sex, 67.2%) from the Nanjing Stroke Registry Program were enrolled. During one year follow-up, 97 (10.2%) elderly patients experienced stroke recurrence. In multivariable analyses, the association between TyG index and stroke recurrence remained significant after adjusting for confounders (quartile 4 versus quartile 1; hazard ratio, 2.073, 95% confidence interval, 1.158-3.711; P = 0.014). The restricted cubic spline showed an increasing trend for TyG index and stroke recurrence (P for non-linearity = 0.072). The area under the curve to predict stroke recurrence with TyG index was 0.719 (95% confidence interval, 0.666-0.772). Besides, TyG index slightly improved the prediction for stroke recurrence. CONCLUSION Elevated TyG index was associated with stroke recurrence in elderly patients with ischemic stroke. Further studies are warranted to assess the role of TyG index in the development of stroke recurrence in the elderly.
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Affiliation(s)
- Fang Wang
- Department of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Jinjing Wang
- Department of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Yunfei Han
- Department of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Xuan Shi
- Department of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Xiaohui Xu
- Department of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Chao Hou
- Department of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Jie Gao
- Department of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Shuanggen Zhu
- Department of Neurology, The Affiliated Central Hospital of Shenzhen Longhua District, Guangdong Medical University, Shenzhen, China
- Department of Neurology, People’s Hospital of Longhua, Shenzhen, China
- *Correspondence: Shuanggen Zhu, ; Xinfeng Liu,
| | - Xinfeng Liu
- Department of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
- *Correspondence: Shuanggen Zhu, ; Xinfeng Liu,
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Chen F, Pan Y, Liu Z, Huang R, Wang J, Shao J, Gong Y, Sun X, Jiang X, Wang W, Li Z, Zhong S, Pan Q, Zhou K. Impact of Visit-to-Visit Triglyceride-Glucose Index Variability on the Risk of Cardiovascular Disease in the Elderly. Int J Endocrinol 2022; 2022:5125884. [PMID: 36159087 PMCID: PMC9507760 DOI: 10.1155/2022/5125884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 08/14/2022] [Accepted: 08/23/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND The aging population is increasingly susceptible to cardiovascular disease (CVD). Visit-to-visit variability in glucose and lipid levels both contributed to CVD risk independent of their mean values. However, whether variability in the triglyceride-glucose (TyG) index is a risk factor for CVD remains unknown. Research Design and Methods. In this retrospective study of electronic health records, 27,520 participants aged over 60 years were enrolled. The visit-to-visit variability of TyG index was calculated from annual health examination data and defined as average real variability (ARV), standard deviation (SD), or the coefficient of variability (CV). CVD events were identified from the chronic disease registry or follow-up database and included myocardial infarction, angina, coronary, and stroke. Multivariate Cox regression was used to examine the correlation between TyG variability and incident CVD. RESULTS Over a median follow-up of 6.2 years, there were 2,178 CVD events. When participants were divided into four quartiles according to their TyG variability, after adjusting for established CVD risk factors, subjects in the top quartile had (HR = 1.18, 95% CI 1.05-1.34, P=0.005) significantly higher CVD risk than those in the bottom quartile. The association remained significant in overweight individuals or those without diabetes (P < 0.005 and P < 0.01, respectively). CONCLUSIONS High variability in TyG was significantly associated with elevated CVD risk in the elderly, independent of average TyG and other risk factors. Close monitoring variability in TyG might be informative to identify old individuals at high risk of CVD.
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Affiliation(s)
- Fei Chen
- College of Life Sciences, University of Chinese Academy of Sciences, China
| | - Ying Pan
- Department of Endocrinology, Kunshan Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, China
| | - Ziqing Liu
- College of Life Sciences, University of Chinese Academy of Sciences, China
| | - Rong Huang
- Guangzhou Laboratory, Guangzhou, Guangdong, China
| | - Jing Wang
- College of Life Sciences, University of Chinese Academy of Sciences, China
| | - Jian Shao
- College of Life Sciences, University of Chinese Academy of Sciences, China
| | - Yaqin Gong
- Department of Medical Informatics, Kunshan Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, China
| | - Xiyi Sun
- Department of Medical Informatics, Kunshan Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, China
| | - Xiaobo Jiang
- ZhenChuan Community Health Service Center, Kunshan, Jiangsu, China
| | - Weihao Wang
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhaoqiang Li
- Guangzhou Laboratory, Guangzhou, Guangdong, China
| | - Shao Zhong
- Department of Endocrinology, Kunshan Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, China
| | - Qi Pan
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Kaixin Zhou
- College of Life Sciences, University of Chinese Academy of Sciences, China
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