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Zhou Z, Liu Q, Zheng M, Zuo Z, Zhang G, Shi R, Wu T. Comparative study on the predictive value of TG/HDL-C, TyG and TyG-BMI indices for 5-year mortality in critically ill patients with chronic heart failure: a retrospective study. Cardiovasc Diabetol 2024; 23:213. [PMID: 38902757 PMCID: PMC11191322 DOI: 10.1186/s12933-024-02308-w] [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: 01/13/2024] [Accepted: 06/16/2024] [Indexed: 06/22/2024] Open
Abstract
BACKGROUND The triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), and triglyceride-density lipoprotein cholesterol ratio (TG/HDL-C) are substitute indicators for insulin resistance (IR). This study aimed to compare the predictive value of these indicators for 5-year mortality in critically ill patients with chronic heart failure (CHF). METHODS Critically ill patients with CHF were identified from the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC) III and IV databases. The primary outcome was 5-year mortality. The relationship between the three indices and mortality risk was determined using multivariate Cox proportional hazards models, Kaplan-Meier (K‒M) analysis and restricted cubic splines analysis. A receiver operating characteristic (ROC) curve was generated to compare the ability of the three indices to predict mortality. Finally, whether the IR indices would further increase the predictive ability of the basic model including baseline variables with a significance level between survivors and non-survivors was evaluated by ROC curve. RESULTS Altogether, 1329 patients with CHF were identified from the databases. Cox proportional hazards models indicated that the TyG index was independently associated with an elevated risk of 5-year mortality (hazard ratio [HR], 1.56; 95% confidence interval [CI] 1.29-1.9), while the TyG-BMI index and TG/HDL-C level were significantly associated with 5-year mortality, with an HR (95% CI) of 1.002 (1.000-1.003) and 1.01 (1.00-1.03), respectively. The K-M analysis revealed that the cumulative incidence of all-cause 5-year death increased with increasing quartiles of the TyG index, TyG-BMI index, or TG/HDL-C ratio. According to the ROC curve, the TyG index outperformed the TyG-BMI and TG/HDL-C ratio at predicting all-cause 5-year mortality (0.608 [0.571-0.645] vs. 0.558 [0.522-0.594] vs. 0.561 [0.524-0.598]). The effect of the TyG index on all-cause mortality was consistent across subgroups, with no significant interaction with randomized factors. Furthermore, adding the TyG index to the basic model for 5-year mortality improved its predictive ability (area under the curve, 0.762 for the basic model vs. 0.769 for the basic model + TyG index); however, the difference was not statistically significant. CONCLUSION As continuous variables, all three indices were significantly associated with 5-year mortality risk in critically ill patients with CHF. Although these IR indices did not improve the predictive power of the basic model in patients with CHF, the TyG index appears to be the most promising index (vs. TyG-BMI and TG/HDL-C ratio) for prevention and risk stratification in critically ill patients with CHF.
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Affiliation(s)
- Zijing Zhou
- Department of Cardiovascular Medicine, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, #87 Xiangya Road, Kaifu District, Changsha, 410008, Hunan, China
| | - Qiang Liu
- Department of Gastroenterology and Endoscopy, Eastern Hepatobiliary Surgery Hospital, Naval Military Medical University, Shanghai, China
| | - Min Zheng
- Department of Cardiovascular Medicine, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, #87 Xiangya Road, Kaifu District, Changsha, 410008, Hunan, China
| | - Zhihong Zuo
- Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Guogang Zhang
- Department of Cardiovascular Medicine, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, #87 Xiangya Road, Kaifu District, Changsha, 410008, Hunan, China
| | - Ruizheng Shi
- Department of Cardiovascular Medicine, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, #87 Xiangya Road, Kaifu District, Changsha, 410008, Hunan, China.
| | - Ting Wu
- Department of Cardiovascular Medicine, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, #87 Xiangya Road, Kaifu District, Changsha, 410008, Hunan, China.
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Scott DA, Ponir C, Shapiro MD, Chevli PA. Associations between insulin resistance indices and subclinical atherosclerosis: A contemporary review. Am J Prev Cardiol 2024; 18:100676. [PMID: 38828124 PMCID: PMC11143894 DOI: 10.1016/j.ajpc.2024.100676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 04/11/2024] [Accepted: 04/15/2024] [Indexed: 06/05/2024] Open
Abstract
Even in the absence of hyperglycemia or hyperlipidemia, it has been demonstrated that insulin resistance is an independent risk factor for atherosclerosis. Finding markers of insulin resistance that are associated with markers of atherosclerosis could help identify patients early in their disease course and allow for earlier initiation of preventative treatments. We reviewed available evidence regarding associations between known markers of insulin resistance and known markers of atherosclerosis. Serum triglycerides (TG), triglyceride-glucose index (TyG), and homeostasis model assessment (HOMA) were the insulin resistance markers reviewed. The coronary artery calcium score (CAC), carotid intimal medium thickness (cIMT), and pulse wave velocity (PWV) were reviewed as markers of atherosclerosis. TyG showed the most consistent association with CAC across broad demographic groups, though HOMA showed potential in obese individuals and those without diabetes. The data regarding cIMT and the reviewed insulin resistance markers did not yield any consistent associations, though very elevated TyG did appear to be associated with cIMT among normal weight individuals. Serum triglycerides showed a strong and consistent association with PWV across numerous studies and populations, though TyG index also demonstrated a strong association with PWV in a large systematic review. Of the insulin resistance markers reviewed, the TyG index appears to be most consistently associated with markers of atherosclerosis. TyG can be easily calculated with routine labwork and has the potential to inform decisions regarding early initiation of therapies in patients who would otherwise not be treated. Targeting insulin sensitivity prior to the development of T2DM has the potential to reduce development and progression of atherosclerosis, and patients without T2DM but who have elevated TyG index should be the topic of further research.
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Affiliation(s)
- Drake A. Scott
- Department of Internal Medicine, Atrium Health Wake Forest Baptist, Winston-Salem, NC, USA
| | - Cynthia Ponir
- Department of Internal Medicine, Atrium Health Wake Forest Baptist, Winston-Salem, NC, USA
| | - Michael D. Shapiro
- Department of Internal Medicine, Atrium Health Wake Forest Baptist, Winston-Salem, NC, USA
| | - Parag A. Chevli
- Department of Internal Medicine, Atrium Health Wake Forest Baptist, Winston-Salem, NC, USA
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Sun C, Hu L, Li X, Zhang X, Chen J, Li D, Zhang J, Liu L, Wu M. Triglyceride-glucose index's link to cardiovascular outcomes post-percutaneous coronary intervention in China: a meta-analysis. ESC Heart Fail 2024; 11:1317-1328. [PMID: 38246749 PMCID: PMC11098636 DOI: 10.1002/ehf2.14679] [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: 10/14/2023] [Revised: 12/05/2023] [Accepted: 12/27/2023] [Indexed: 01/23/2024] Open
Abstract
Percutaneous coronary intervention (PCI) addresses myocardial ischaemia, but a significant subset of patients encounter major adverse cardiovascular events (MACE) post-treatment. This meta-analysis investigated the relationship between the post-PCI triglyceride-glucose (TyG) index and MACE. Comprehensive searches of the Embase, PubMed, Cochrane Library, and Web of Science databases were conducted up to 3 March 2023, using relevant keywords. The effect size was determined based on I2 statistic using random-effects models. Cluster-robust standard errors crafted the dose-response curve, and the GRADE Evaluation Scale was employed to rate the quality of evidence. The group with the highest TyG index had significantly higher post-PCI MACE rates than the lowest index group, with hazard ratios (HRs) of 2.04 (95% CI 1.65-2.52; I2 = 77%). Each unit increase in TyG index corresponded to HRs of 1.82 for MACE (95% CI 1.34-2.46; I2 = 92%), 2.57 for non-fatal MI (95% CI 1.49-4.41; I2 = 63%), and 2.06 for revascularization (95% CI 1.23-3.50; I2 = 90%). A linear relationship between TyG index and MACE risk was established (R2 = 0.6114). For all-cause mortality, the HR was 1.93 (95% CI 1.35-2.75; I2 = 50%), indicating a higher mortality risk with elevated TyG index. The GRADE assessment yielded high certainty for non-fatal MI but low certainty for all-cause mortality, revascularization, and MACE. The TyG index may predict risks of post-PCI MACE, all-cause mortality, non-fatal MI, and revascularization, with varied levels of certainty. A potential linear association between the TyG index and MACE post-PCI was identified. Future research should validate these findings.
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Affiliation(s)
- ChangXin Sun
- Beijing University of Chinese MedicineBeijingChina
- National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - LanQing Hu
- National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - XiaoYa Li
- National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - XiaoNan Zhang
- National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - JiYe Chen
- National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - DeXiu Li
- National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - JingYi Zhang
- Beijing University of Chinese MedicineBeijingChina
| | - LongTao Liu
- National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - Min Wu
- China Academy of Chinese Medical SciencesGuang'anmen HospitalBeijingChina
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Yin JL, Yang J, Song XJ, Qin X, Chang YJ, Chen X, Liu FH, Li YZ, Xu HL, Wei YF, Cao F, Bai XL, Wu L, Tao T, Du J, Gong TT, Wu QJ. Triglyceride-glucose index and health outcomes: an umbrella review of systematic reviews with meta-analyses of observational studies. Cardiovasc Diabetol 2024; 23:177. [PMID: 38783270 PMCID: PMC11118729 DOI: 10.1186/s12933-024-02241-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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 04/20/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Numerous meta-analyses have explored the association between the triglyceride-glucose (TyG) index and diverse health outcomes, yet the comprehensive assessment of the scope, validity, and quality of this evidence remains incomplete. Our aim was to systematically review and synthesise existing meta-analyses of TyG index and health outcomes and to assess the quality of the evidence. METHODS A thorough search of PubMed, EMBASE, and Web of Science databases was conducted from their inception through to 8 April 2024. We assessed the quality of reviews using A Measurement Tool to Assess Systematic Reviews (AMSTAR) and the certainty of the evidence using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system. This study was registered with PROSPERO (CRD: 42024518587). RESULTS Overall, a total of 95 associations from 29 meta-analyses were included, investigating associations between TyG index and 30 health outcomes. Of these, 83 (87.4%) associations were statistically significant (P < 0.05) according to the random effects model. Based on the AMSTAR tool, 16 (55.2%) meta-analyses were high quality and none was low quality. The certainty of the evidence, assessed by the GRADE framework, showed that 6 (6.3%) associations were supported by moderate-quality evidence. When compared with the lowest category of the TyG index, the risk of contrast-induced nephropathy (CIN) [relative risk (RR) = 2.25, 95%CI 1.82, 2.77], the risk of stroke in patients with diabetes mellitus (RR = 1.26, 95%CI 1.18, 1.33) or with acute coronary syndrome disease (RR = 1.56, 95%CI 1.06, 2.28), the prognosis of coronary artery disease (CAD)-non-fatal MI (RR = 2.02, 95%CI 1.32, 3.10), and the severity of CAD including coronary artery stenosis (RR = 3.49, 95%CI 1.71, 7.12) and multi-vessel CAD (RR = 2.33, 95%CI 1.59, 3.42) increased with high TyG index. CONCLUSION We found that the TyG index was positively associated with many diseases including the risk of CIN and stroke, the prognosis of CAD, and the severity of CAD which were supported by moderate-quality evidence. TyG index might be useful to identify people at high-risk for developing these diseases.
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Affiliation(s)
- Jia-Li Yin
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Jing Yang
- Department of Endocrinology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Xin-Jian Song
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Xue Qin
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yu-Jiao Chang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xing Chen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Zi Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - He-Li Xu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fan Cao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xue-Li Bai
- Department of Obstetrics and Gynecology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Lang Wu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Tao Tao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Jian Du
- Department of Endocrinology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China.
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
- NHC Key Laboratory of Advanced Reproductive Medicine and Fertility, (China Medical University), National Health Commission, Shenyang, China.
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Song J, Ma R, Yin L. Associations between estimated glucose disposal rate and arterial stiffness and mortality among US adults with non-alcoholic fatty liver disease. Front Endocrinol (Lausanne) 2024; 15:1398265. [PMID: 38779449 PMCID: PMC11109450 DOI: 10.3389/fendo.2024.1398265] [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: 03/09/2024] [Accepted: 04/22/2024] [Indexed: 05/25/2024] Open
Abstract
Background The estimated glucose disposal rate (eGDR), an effective indicator of insulin resistance, has been related to acute coronary syndrome, ischemic stroke and heart failure. This study aims to explore the relationship between eGDR and arterial stiffness, all-cause mortality and cardiovascular mortality in patients with non-alcoholic fatty liver disease (NAFLD). Methods Participants with NAFLD were chosen from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. The main outcomes are arterial stiffness (represented by estimated pulse wave velocity, ePWV), all-cause and cardiovascular mortality. Multiple cox regression models, restricted cubic spline, sensitivity analysis and subgroup analysis were carried out to investigate the correlation between the insulin resistance indicators and mortality and arterial stiffness. Furthermore, receiver operating characteristic curves were used to compare the predictive value of the eGDR with the triglyceride-glucose (TyG) index and the homeostasis model assessment of insulin resistance (HOMA-IR) for all-cause and cardiovascular mortality. Results In this study, a total of 4,861 participants were included for analysis. After adjusting confounding factors in the multivariate weighted cox regression model, the eGDR was inversely associated with the all-cause mortality (Q4 vs. Q1, HR =0.65 (0.48-0.89, P=0.01) and cardiovascular mortality (Q4 vs. Q1, HR =0.35 (0.19-0.65, P<0.001). Compared with TyG index and HOMA-IR, the eGDR shows excellent predictive value in all-cause mortality (0.588 vs. 0.550 vs. 0.513, P < 0.001) and cardiovascular mortality (0.625 vs. 0.553 vs. 0.537, P < 0.001). In addition, we found a significant negative correlation between eGDR and arterial stiffness (β=-0.13(-0.14-0.11, P< 0.001). However, TyG index and HOMA-IR showed no significant correlation to arterial stiffness. Conclusions Low eGDR (an indicator of insulin resistance) levels are related to an increased risk of arterial stiffness and mortality in NAFLD patients in the United States.
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Affiliation(s)
- Junting Song
- Department of Neurology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Ruicong Ma
- Department of Cardiology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Lin Yin
- Department of Neurology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China
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Fang Y, Xiong B, Shang X, Yang F, Yin Y, Sun Z, Wu X, Zhang J, Liu Y. Triglyceride-glucose index predicts sepsis-associated acute kidney injury and length of stay in sepsis: A MIMIC-IV cohort study. Heliyon 2024; 10:e29257. [PMID: 38617935 PMCID: PMC11015450 DOI: 10.1016/j.heliyon.2024.e29257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 03/23/2024] [Accepted: 04/03/2024] [Indexed: 04/16/2024] Open
Abstract
Background Inflammation and stress response may be related to the occurrence of sepsis-associated acute kidney injury (SA-AKI) in patients with sepsis.Insulin resistance (IR) is closely related to the stress response, inflammatory response, immune response and severity of critical diseases. We assume that the triglyceride-glucose (TyG) index, an alternative indicator for IR, is associated with the occurrence of SA-AKI in patients with sepsis. Methods Data were obtained from The Medical Information Mart for Intensive Care-IV(MIMIC-IV) database in this retrospective cohort study. Univariate and multivariate logistic regression analysis and multivariate restricted cubic spline(RCS) regression were conducted to evaluate the association between TyG index and SA-AKI, length of stay (LOS). Subgroup and sensitivity analyses were performed to verify the robustness of the results. Results The study ultimately included data from 1426 patients with sepsis, predominantly of white ethnicity (59.2%) and male sex (56.4%), with an SA-AKI incidence rate of 78.5%. A significant linear association was observed between the TyG index and SA-AKI (OR, 1.40; 95% confidence interval(CI) [1.14-1.73]). Additionally, the TyG index demonstrated a significant correlation with the length of stay (LOS) in both the hospital (β, 1.79; 95% CI [0.80-2.77]) and the intensive care unit (ICU) (β, 1.30; 95% CI [0.80-1.79]). Subgroup and sensitivity analyses confirmed the robustness of these associations. Conclusion This study revealed a strong association between the TyG index and both SA-AKI and length of stay in patients with sepsis. These findings suggest that the TyG index is a potential predictor of SA-AKI and the length of hospitalization in sepsis cases, broadening its application in this context. However, further research is required to confirm whether interventions targeting the TyG index can genuinely enhance the clinical outcomes of patients with sepsis.
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Affiliation(s)
| | | | | | | | - Yuehao Yin
- Department of Anesthesiology, Shanghai Cancer Centre, Fudan University, Shanghai, 200032, China
| | - Zhirong Sun
- Department of Anesthesiology, Shanghai Cancer Centre, Fudan University, Shanghai, 200032, China
| | - Xin Wu
- Department of Anesthesiology, Shanghai Cancer Centre, Fudan University, Shanghai, 200032, China
| | - Jun Zhang
- Department of Anesthesiology, Shanghai Cancer Centre, Fudan University, Shanghai, 200032, China
| | - Yi Liu
- Corresponding author. Department of Anesthesiology, Shanghai Cancer Centre, Fudan University, No. 270 Dong an Road, Shanghai, 200032, China.
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Jia Y, He Z, Liu F, Li J, Liang F, Huang K, Chen J, Cao J, Li H, Shen C, Yu L, Liu X, Hu D, Huang J, Zhao Y, Liu Y, Lu X, Gu D, Chen S. Dietary intake changes the associations between long-term exposure to fine particulate matter and the surrogate indicators of insulin resistance. ENVIRONMENT INTERNATIONAL 2024; 186:108626. [PMID: 38626493 DOI: 10.1016/j.envint.2024.108626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 03/31/2024] [Accepted: 04/02/2024] [Indexed: 04/18/2024]
Abstract
The relationship of fine particulate matter (PM2.5) exposure and insulin resistance remains inclusive. Our study aimed to investigate this association in the project of Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR). Specifically, we examined the associations between long-term PM2.5 exposure and three surrogate indicators of insulin resistance: the triglyceride-glucose index (TyG), TyG with waist circumference (TyG-WC) and metabolic score for insulin resistance (METS-IR). Additionally, we explored potential effect modification of dietary intake and components. Generalized estimating equations were used to evaluate the associations between PM2.5 and the indicators with an unbalanced repeated measurement design. Our analysis incorporated a total of 162,060 observations from 99,329 participants. Each 10 μg/m3 increment of PM2.5 was associated with an increase of 0.22 % [95 % confidence interval (CI): 0.20 %, 0.25 %], 1.60 % (95 % CI: 1.53 %, 1.67 %), and 2.05 % (95 % CI: 1.96 %, 2.14 %) in TyG, TyG-WC, and METS-IR, respectively. These associations were attenuated among participants with a healthy diet, particularly those with sufficient intake of fruit and vegetable, fish or tea (pinteraction < 0.0028). For instance, among participants with a healthy diet, TyG increased by 0.11 % (95 % CI: 0.08 %, 0.15 %) per 10 μg/m3 PM2.5 increment, significantly lower than the association observed in those with an unhealthy diet. The findings of this study emphasize the potential of a healthy diet to mitigate these associations, highlighting the urgency for improving air quality and implementing dietary interventions among susceptible populations in China.
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Affiliation(s)
- Yanhui Jia
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China; Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Zhi He
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Fengchao Liang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Jichun Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Hongfan Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Chong Shen
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou 350014, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou 510080, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University, Shenzhen 518060, China
| | - Jianfeng Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong First Medical University (Shandong Academy of Medicine Sciences), Jinan 271099, China
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Dongfeng Gu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China; School of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China.
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Sterpetti AV, Gabriele R, Sapienza P, Marzo LD, Borrelli V. Mortality and burden related with aortic aneurysms and dissections. The importance of information and education. Curr Probl Cardiol 2024; 49:102384. [PMID: 38184128 DOI: 10.1016/j.cpcardiol.2024.102384] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 01/04/2024] [Indexed: 01/08/2024]
Abstract
BACKGROUND In this study we correlated changes of risk factors for cardiovascular diseases with trends of age standardized mortality rates and burden for aortic aneurysms and dissections. METHODS We analyzed data from the Global Burden of Diseases and EUROSTAT. FINDINGS There was a significant increase of expenditure for health from 1980 and 2019. In the period 1980-2000, despite higher health spending, age standardized mortality rates increased in almost all European countries. During the period 2000-2019, in Western European Countries and in Poland, Estonia, Latvia, Slovenia there was a correlation between higher health expenditure and decrease of ASMR. The most important changes between the period 1980-2000 and the period 2000-2019 was the proportion of health expenditure devoted to preventive care and to the increased use of aspirin and statins. INTERPRETATION Information about risk factors for cardiovascular diseases have leads to decreased aortic aneurysm related mortality and burden.
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Affiliation(s)
- Antonio V Sterpetti
- Sapienza University Rome, Policlinico Umberto I- Viale del Policlinico 00167 Rome, Italy.
| | - Raimondo Gabriele
- Sapienza University Rome, Policlinico Umberto I- Viale del Policlinico 00167 Rome, Italy
| | - Paolo Sapienza
- Sapienza University Rome, Policlinico Umberto I- Viale del Policlinico 00167 Rome, Italy
| | - Luca Di Marzo
- Sapienza University Rome, Policlinico Umberto I- Viale del Policlinico 00167 Rome, Italy
| | - Valeria Borrelli
- Sapienza University Rome, Policlinico Umberto I- Viale del Policlinico 00167 Rome, Italy
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Tusongtuoheti X, Shu Y, Huang G, Mao Y. Predicting the risk of subclinical atherosclerosis based on interpretable machine models in a Chinese T2DM population. Front Endocrinol (Lausanne) 2024; 15:1332982. [PMID: 38476673 PMCID: PMC10929018 DOI: 10.3389/fendo.2024.1332982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 02/07/2024] [Indexed: 03/14/2024] Open
Abstract
Background Cardiovascular disease (CVD) has emerged as a global public health concern. Identifying and preventing subclinical atherosclerosis (SCAS), an early indicator of CVD, is critical for improving cardiovascular outcomes. This study aimed to construct interpretable machine learning models for predicting SCAS risk in type 2 diabetes mellitus (T2DM) patients. Methods This study included 3084 T2DM individuals who received health care at Zhenhai Lianhua Hospital, Ningbo, China, from January 2018 to December 2022. The least absolute shrinkage and selection operator combined with random forest-recursive feature elimination were used to screen for characteristic variables. Linear discriminant analysis, logistic regression, Naive Bayes, random forest, support vector machine, and extreme gradient boosting were employed in constructing risk prediction models for SCAS in T2DM patients. The area under the receiver operating characteristic curve (AUC) was employed to assess the predictive capacity of the model through 10-fold cross-validation. Additionally, the SHapley Additive exPlanations were utilized to interpret the best-performing model. Results The percentage of SCAS was 38.46% (n=1186) in the study population. Fourteen variables, including age, white blood cell count, and basophil count, were identified as independent risk factors for SCAS. Nine predictors, including age, albumin, and total protein, were screened for the construction of risk prediction models. After validation, the random forest model exhibited the best clinical predictive value in the training set with an AUC of 0.729 (95% CI: 0.709-0.749), and it also demonstrated good predictive value in the internal validation set [AUC: 0.715 (95% CI: 0.688-0.742)]. The model interpretation revealed that age, albumin, total protein, total cholesterol, and serum creatinine were the top five variables contributing to the prediction model. Conclusion The construction of SCAS risk models based on the Chinese T2DM population contributes to its early prevention and intervention, which would reduce the incidence of adverse cardiovascular prognostic events.
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Affiliation(s)
- Ximisinuer Tusongtuoheti
- Department of Endocrinology, The First Affiliated Hospital of Ningbo University, Ningbo University, Ningbo, China
- Health Science Center, Ningbo University, Ningbo, China
| | - Yimeng Shu
- Department of Endocrinology, The First Affiliated Hospital of Ningbo University, Ningbo University, Ningbo, China
- Health Science Center, Ningbo University, Ningbo, China
| | - Guoqing Huang
- Department of Endocrinology, The First Affiliated Hospital of Ningbo University, Ningbo University, Ningbo, China
- Health Science Center, Ningbo University, Ningbo, China
| | - Yushan Mao
- Department of Endocrinology, The First Affiliated Hospital of Ningbo University, Ningbo University, Ningbo, China
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Guo M, Li M, Cui F, Ding X, Gao W, Fang X, Chen L, Wang H, Niu P, Ma J. MTBE exposure may increase the risk of insulin resistance in male gas station workers. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2024; 26:334-343. [PMID: 38168809 DOI: 10.1039/d3em00491k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Insulin resistance is closely related to many metabolic diseases and has become a serious public health problem worldwide. So, it is crucial to find its environmental pathogenic factors. Methyl tert-butyl ether (MTBE), a widely used unleaded gasoline additive, has been proven to affect glycolipid metabolism. However, results from population studies are lacking. For this purpose, the potential relationships between MTBE exposure and the triglyceride glucose (TyG) index, a useful surrogate marker of insulin resistance, were evaluated using a small-scale occupational population. In this study, 201 participants including occupational and non-occupational MTBE exposure workers were recruited from the Occupational Disease Prevention and Control Hospital of Huaibei, and their health examination information and blood samples with informed consent were collected. The internal exposure levels were assessed by detecting blood MTBE using solid-phase-micro-extraction gas chromatography-mass spectrometry. Then the adjusted linear regression model was used to assess the relationship between MTBE exposure and fasting plasma glucose (FPG), or TyG index. Then, receiver-operating-characteristic (ROC) curves were performed to calculate the optimal cut-off points. Multivariable and hierarchical logistic regression models were used to analyze the impact of MTBE exposure on the risk of insulin resistance. Obvious correlations were observed between blood MTBE levels with TyG index (p = 0.016) and FPG (p = 0.001). Further analysis showed that using the mean of the TyG index (8.77) as a cutoff value had a good effect on reflecting the risk of insulin resistance. Multivariable logistic regression analysis also indicated that MTBE exposure was an independent risk factor for a high TyG index (OR = 1.088, p = 0.038), which indicated that MTBE exposure might be a new environmental pathogenic factor leading to insulin resistance, and MTBE exposure might increase the risk of insulin resistance by independently elevating the TyG index in male gas station workers.
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Affiliation(s)
- Mingxiao Guo
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Mengdi Li
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Fengtao Cui
- Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, Huaibei, Anhui Province, 235000, China
| | - Xinping Ding
- Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, Huaibei, Anhui Province, 235000, China
| | - Wei Gao
- Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, Huaibei, Anhui Province, 235000, China
| | - Xingqiang Fang
- Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, Huaibei, Anhui Province, 235000, China
| | - Li Chen
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Hanyun Wang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Piye Niu
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Junxiang Ma
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
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Jiang Y, Chen P, Zhao Y, Cai J, Liang J, Cheng S, Zhang Y. Association between triglyceride glucose index and all-cause mortality in patients with cerebrovascular disease: a retrospective study. Diabetol Metab Syndr 2024; 16:1. [PMID: 38173012 PMCID: PMC10763128 DOI: 10.1186/s13098-023-01243-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 12/18/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Triglyceride glucose (TyG) is associated with stroke, atherosclerosis, and adverse clinical outcomes. However, its correlation with cerebrovascular disease (CVD) mortality remains unclear. This study aimed to investigate the relationship between TyG index and mortality in patients with CVD. METHODS Patient data sourced from the Medical Information Mart for Intensive Care -IV database were categorized based on TyG quartiles. Kaplan-Meier survival analysis was used to estimate survival disparities among the TyG subgroups. Cox proportional risk modeling was used to examine the association between the TyG index and mortality. Generalized summation models were applied to fit the smoothed curves. log-likelihood ratio test were used to analyze the non-linear relationship. RESULTS The study comprised 1,965 patients (50.18% were male). The 28-day and 90-day mortality rates were 20.10% and 24.48%, respectively. The TyG index exhibited a linear relationship with the 28-day mortality (Hazards ratio (HR), 1.16; 95% confidence interval (CI), 0.99-1.36) and the 90-day mortality (HR, 1.18; 95% CI, 1.02-1.37). In the TyG Q4 group, each 1 mg/dl increase was linked to a 35% rise in the risk of 28-day mortality and a 38% increase in the risk of 90-day mortality. Subgroup analyses highlighted a more substantial association between TyG index and 90-day mortality in the diabetic group. CONCLUSION Our findings underscore the positive association between TyG and the 28- and 90-day mortality rates in patients with CVD. This insight may prove pivotal for identifying at-risk populations and enhancing risk prediction in the clinical management of CVD.
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Affiliation(s)
- Yong'An Jiang
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, P. R. China
- Nanchang University, Nanchang, Jiangxi, 330008, P. R. China
| | - Peng Chen
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, P. R. China
- Nanchang University, Nanchang, Jiangxi, 330008, P. R. China
| | - YangYang Zhao
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, P. R. China
- Nanchang University, Nanchang, Jiangxi, 330008, P. R. China
| | - JiaHong Cai
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, P. R. China
- Nanchang University, Nanchang, Jiangxi, 330008, P. R. China
| | - JiaWei Liang
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, P. R. China
- Nanchang University, Nanchang, Jiangxi, 330008, P. R. China
| | - ShiQi Cheng
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, P. R. China
| | - Yan Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, P. R. China.
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Tian WB, Zhang WS, Jiang CQ, Jin YL, Lam TH, Cheng KK, Xu L. Association of insulin resistance and glycemic measures with major abnormal electrocardiogram in older Chinese: Cross-sectional analysis based on the Guangzhou Biobank Cohort study. Diabetes Res Clin Pract 2024; 207:111046. [PMID: 38070543 DOI: 10.1016/j.diabres.2023.111046] [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: 08/07/2023] [Revised: 09/16/2023] [Accepted: 12/05/2023] [Indexed: 12/21/2023]
Abstract
AIMS To examine whether insulin resistance (IR) and glycemic measures were associated with major abnormal electrocardiogram (MA-ECG) and its specific abnormalities in the general population. METHODS Twelve-lead ECG measurements were performed on 21,720 participants without cardiovascular disease (5,918 men) from the Guangzhou Biobank Cohort Study. The participants were aged 50 years or above (mean age 61.6, standard deviation 7.1 years). Logistic regression was used to assess the associations of IR and glycemic measures with MA-ECG and specific abnormalities. RESULTS Ln-fasting insulin was significantly associated with MA-ECG and ST-T abnormalities (adjusted odds ratio = 1.52, 95 % confidence interval = 1.15-2.02 and 1.83, 1.37-2.45, respectively, for per standard deviation), which were stronger than those of TyG index with MA-ECG (1.08, 1.04-1.13) and ST-T abnormalities (1.16, 1.11-1.22). Ln-fasting insulin had association with Q wave abnormalities (3.19, 1.52-6.67). The association of TyG index with prolonged QTc varied by sex and obesity (P for interaction ≤ 0.01). Participants with diabetes had stronger associations of ln-fasting plasma glucose with ECG abnormalities than those without. CONCLUSIONS IR and glycemic measures were associated with MA-ECG, ischemia and prolonged QTc in older Chinese, especially in women, those with obesity, and those with diabetes. These findings underscore the importance of regular evaluations for these groups.
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Affiliation(s)
- Wen Bo Tian
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Wei Sen Zhang
- Guangzhou Twelfth People's Hospital, Guangzhou 510620, China.
| | | | - Ya Li Jin
- Guangzhou Twelfth People's Hospital, Guangzhou 510620, China
| | - Tai Hing Lam
- Guangzhou Twelfth People's Hospital, Guangzhou 510620, China; School of Public Health, the University of Hong Kong, Hong Kong
| | - Kar Keung Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Lin Xu
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; School of Public Health, the University of Hong Kong, Hong Kong.
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Tao S, Yu L, Li J, Huang L, Huang X, Zhang W, Xie Z, Tan Y, Yang D. Association between the triglyceride-glucose index and 1-year major adverse cardiovascular events in patients with coronary heart disease and hypertension. Cardiovasc Diabetol 2023; 22:305. [PMID: 37940943 PMCID: PMC10633928 DOI: 10.1186/s12933-023-02018-9] [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: 09/08/2023] [Accepted: 10/09/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index has been proposed as a potential predictor of adverse prognosis of coronary heart disease (CHD). However, its prognostic value in patients with CHD and hypertension remains unclear. This study aimed to evaluate the association between the TyG index and the 1-year risk of major adverse cardiovascular events (MACEs) in patients with CHD and hypertension. METHODS The data for the study were taken from the Hospital Information System database in China-Japan Friendship Hospital which contained over 10,000 cardiovascular admissions from 2019 to 2022. The Boruta algorithm was performed for feature selection. The study used univariable analysis, multivariable logistic regression analysis, and restricted cubic spline (RCS) regression to evaluate the association between the TyG index and the 1-year risk of MACEs in patients with CHD and hypertension. RESULTS After applying inclusion and exclusion criteria, a total of 810 patients with CHD and hypertension were included in the study with a median TyG index of 8.85 (8.48, 9.18). Using the lowest TyG index quartile as the reference, the fully adjusted ORs (95% CIs) for 1-year MACEs for TyG index Q2, Q3, and Q4 were 1.001 (0.986 ~ 1.016), 1.047 (1.032 ~ 1.062), and 1.760 (1.268 ~ 2.444), respectively. After adjusting for all confounders, we found that those with the highest TyG index had a 47.0% increased risk of MACEs over the 1-year follow-up (OR 1.470, 95% CI 1.071 ~ 2.018). The results in the subgroup analysis were similar to the main analyses. RCS model suggested that the TyG index was nonlinearly associated with the 1-year risk of MACEs (P for nonlinear < 0.001). CONCLUSION This study shows that the elevated TyG index is a potential marker of adverse prognosis among patients with CHD and hypertension and informs the development of clinical decisions to improve outcomes.
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Affiliation(s)
- Shiyi Tao
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Lintong Yu
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Jun Li
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
| | - Li Huang
- Department of Integrative Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Xuanchun Huang
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Wenjie Zhang
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Zicong Xie
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yuqing Tan
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Deshuang Yang
- Department of Integrative Cardiology, China-Japan Friendship Hospital, Beijing, China
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Zhang Z, Zhao L, Lu Y, Meng X, Zhou X. Relationship of triglyceride-glucose index with cardiometabolic multi-morbidity in China: evidence from a national survey. Diabetol Metab Syndr 2023; 15:226. [PMID: 37926824 PMCID: PMC10626797 DOI: 10.1186/s13098-023-01205-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 11/01/2023] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND Cardiometabolic multi-morbidity (CMM) is emerging as a global healthcare challenge and a pressing public health concern worldwide. Previous studies have principally focused on identifying risk factors for individual cardiometabolic diseases, but reliable predictors of CMM have not been identified. In the present study, we aimed to characterize the relationship of triglyceride-glucose (TyG) index with the incidence of CMM. METHODS We enrolled 7,970 participants from the China Health and Retirement Longitudinal Study (CHARLS) and placed them into groups according to quartile of TyG index. The endpoint of interest was CMM, defined as the presence of at least two of the following: stroke, heart disease, and diabetes mellitus. Cox regression models and multivariable-adjusted restricted cubic spline (RCS) curves were used to evaluate the relationship between TyG index and CMM. RESULTS In total, 638 (8.01%) incident cases of CMM were recorded among the participants who did not have CMM at baseline (2011) during a median follow-up of 84 months (interquartile range, 20‒87 months). The incidences of CMM for the participants in quartiles (Q) 1-4 of TyG index were 4.22%, 6.12%, 8.78%, and 12.60%, respectively. A fully adjusted Cox model showed that TyG index was closely associated with the incidence of CMM: the hazard ratio (HR) [95% confidence interval (CI)] for each 1.0-unit increment in TyG index for CMM was 1.54 (1.29-1.84); and the HRs (95% CIs) for Q3 and Q4 (Q1 as reference) of the TyG index for CMM were 1.41 (1.05-1.90) and 1.61 (1.18-2.20), respectively. The association of TyG index with the incidence of CMM was present in almost all the subgroups, and persisted in the sensitivity analyses and additional analyses. Multivariable-adjusted RCS analysis revealed a significant dose-response relationship of TyG index with the risk of CMM (overall P < 0.001; non-linear P = 0.129). CONCLUSIONS We found that a high TyG index is associated with a higher risk of incident CMM. This finding may have significance for clinical practice and facilitate the creation of a personalized prevention strategy that involves monitoring the TyG index.
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Affiliation(s)
- Zenglei Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, China
| | - Lin Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, China
| | - Yiting Lu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, China
| | - Xu Meng
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, China.
| | - Xianliang Zhou
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167, Beilishi Road, Xicheng District, Beijing, China.
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Lin Z, He X, Lin M, Chen L. Triglyceride-glucose index on risk of adverse events after drug-coated balloon angioplasty. Lipids Health Dis 2023; 22:184. [PMID: 37898751 PMCID: PMC10613374 DOI: 10.1186/s12944-023-01951-8] [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: 08/31/2023] [Accepted: 10/18/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND The pathogenetic mechanism of atherosclerotic cardiovascular diseases is associated with insulin resistance (IR), which serves as a metabolic risk factor. As a novel indication for IR, triglyceride-glucose (TyG) index may predict cardiovascular disease outcomes. METHODS In current study, a cohort of 157 individuals with newly developed de novo lesions who received DCB angioplasty between January 2017 and May 2021 were included. The midterm follow-up clinical results consisted of the presence of vessel-oriented composite endpoint (VOCE). The baseline TyG index was divided into three groups by tertiles. This study compared various clinical characteristics and parameters among different groups during DCB angioplasty. A multivariate Cox regression model was built to investigate the potential predictors. RESULTS Higher TyG index indicated an increased risk of VOCE according to the adjusted model (HR = 4.0, 95%Cl: 1.0-15.4, P = 0.047). A non-linear correlation was uncovered between the index and VOCE from the smooth curve. Based on Kaplan-Meier curve, individuals in the highest TyG index group were more likely to develop VOCE (P < 0.05 for log-rank). CONCLUSIONS The incidence of VOCE was shown to be independently and positively correlated with an elevated TyG index in individuals with de novo coronary lesions who received DCB angioplasty.
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Affiliation(s)
- Zhaorong Lin
- Department of Cardiology, Fujian Medical Center for Cardiovascular Diseases, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou City, 350001, Fujian Province, China
| | - Xi He
- Department of Cardiology, Fujian Medical Center for Cardiovascular Diseases, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou City, 350001, Fujian Province, China
| | - Maosen Lin
- Department of Cardiology, Fujian Medical Center for Cardiovascular Diseases, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou City, 350001, Fujian Province, China
| | - Lianglong Chen
- Department of Cardiology, Fujian Medical Center for Cardiovascular Diseases, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou City, 350001, Fujian Province, China.
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Dong S, Zhao Z, Huang X, Ma M, Yang Z, Fan C, Han H, Wang Z, Shi D, Zhou Y. Triglyceride-glucose index is associated with poor prognosis in acute coronary syndrome patients with prior coronary artery bypass grafting undergoing percutaneous coronary intervention. Cardiovasc Diabetol 2023; 22:286. [PMID: 37891647 PMCID: PMC10612342 DOI: 10.1186/s12933-023-02029-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index, which is a reliable substitute indicator for insulin resistance, has been considered an independent risk factor for long-term outcomes in patients with cardiovascular disease. However, it remains unknown whether the TyG index is associated with poor prognosis in acute coronary syndrome (ACS) patients with prior coronary artery bypass grafting (CABG) undergoing percutaneous coronary intervention (PCI). METHODS A total of 1158 ACS patients with prior CABG undergoing PCI were retrospectively studied. The TyG index was calculated by ln[fasting triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2]. The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCE), a composite of all-cause death, nonfatal myocardial infarction, nonfatal stroke, and unplanned repeat revascularization. RESULTS During a median of 42-month follow-up, 350 patients (30.2%) experienced at least one endpoint event. Based on the optimal cut-off value of the TyG index, patients were divided into the high TyG index group and the low TyG index group. Patients in the high TyG index group had higher risks of MACCE (35.3% vs. 25.3%, p < 0.001), major adverse cardiovascular events (MACE) (31.1% vs. 23.4%, p = 0.003), nonfatal stroke (4.2% vs. 1.9%, p = 0.022) and unplanned repeat revascularization (19.4% vs. 11.3%, p < 0.001) than those in the low TyG index group. Cox regression analysis demonstrated that there was an independent association between the TyG index and MACCE regardless of whether the TyG index was a continuous or categorical variable (HR 1.42, 95% CI 1.09-1.86, p = 0.009; HR 1.53, 95% CI 1.16-2.01, p = 0.003, respectively). Restricted cubic spline curve exhibited that the relationship between the TyG index and MACCE was linear (p for non-linear = 0.595, p for overall = 0.005). By incorporating the TyG index groups into baseline risk model, the accuracy of predicting MACCE was improved [AUC: baseline risk model, 0.618 vs. baseline risk model + TyG index groups, 0.636, p for comparison = 0.042]. CONCLUSIONS The TyG index is independently associated with MACCE, suggesting that the TyG index may serve as a valid indicator for predicting poor prognosis in ACS patients with prior CABG undergoing PCI.
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Affiliation(s)
- Shutong Dong
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Zehao Zhao
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Xin Huang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Meishi Ma
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Zhiqiang Yang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Chu Fan
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Hongya Han
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Zhijian Wang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Dongmei Shi
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China
| | - Yujie Zhou
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University, Beijing, 100029, China.
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Adam-Hassan F, Dridi-Brahimi I, Vatier C, Bastard JP. Are there relevant thresholds of insulin-independent indices across the lifespan to predict alterations in glycemic control? THE LANCET REGIONAL HEALTH. EUROPE 2023; 33:100728. [PMID: 37693689 PMCID: PMC10482732 DOI: 10.1016/j.lanepe.2023.100728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 08/21/2023] [Indexed: 09/12/2023]
Affiliation(s)
- Fatimé Adam-Hassan
- Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Département de Biochimie-Pharmacologie-Biologie Moléculaire-Génétique Médicale, Créteil, France
| | - Imane Dridi-Brahimi
- Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Département de Biochimie-Pharmacologie-Biologie Moléculaire-Génétique Médicale, Créteil, France
| | - Camille Vatier
- Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Antoine, Service d’Endocrinologie-Diabétologie, Centre de Référence des Maladies Rares de l’Insulino-Sécrétion et de l’Insulino-Sensibilité (PRISIS), Paris 75012, France
- Sorbonne Université-Inserm, Centre de Recherche Saint-Antoine UMR S_938, Paris 75012, France
- Institut Hospitalo-Universitaire de Cardio-Métabolisme et Nutrition (ICAN), Paris, France
| | - Jean-Philippe Bastard
- Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Département de Biochimie-Pharmacologie-Biologie Moléculaire-Génétique Médicale, Créteil, France
- FHU-SENEC, INSERM U955 and Université Paris Est (UPEC), UMR U955, Faculté de Santé, Créteil, France
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Zhou Q, Yang J, Tang H, Guo Z, Dong W, Wang Y, Meng X, Zhang K, Wang W, Shao C, Hua X, Tang YD. High triglyceride-glucose (TyG) index is associated with poor prognosis of heart failure with preserved ejection fraction. Cardiovasc Diabetol 2023; 22:263. [PMID: 37775762 PMCID: PMC10541699 DOI: 10.1186/s12933-023-02001-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 09/20/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND The impact of insulin resistance on the prognosis of heart failure with preserved ejection fraction (HFpEF) remains unknown. This study aimed to investigate the association between the triglyceride-glucose (TyG) index, an easily calculated marker of insulin resistance, and the long-term prognosis of HFpEF. METHODS A total of 823 patients with HFpEF were enrolled in the study. The TyG index was determined using the formula ln(fasting triglycerides [mg/dL] × fasting glucose [mg/dL]/2). The primary endpoint was all-cause death. The secondary endpoints were cardiovascular (CV) death and heart failure (HF) rehospitalization. Restricted cubic spline, multivariate Cox proportional hazard models, and competing risk models were used for analyses. RESULTS During a median follow-up period of 3.16 years, 147 (17.8%) all-cause deaths, 139 (16.8%) CV deaths, and 222 (27.0%) HF rehospitalizations occurred. Restricted cubic spline analysis revealed a J-shaped association between the TyG index and the mortality and rehospitalization rates. In the multivariate Cox proportional hazard models, compared with those in the lowest TyG index tertile, patients in the highest tertile exhibited the greatest susceptibility to all-cause death (HR 1.53, 95% CI 1.19-1.98) and CV death (HR 1.52, 95% CI 1.19-1.96). In the competing risk model, a significant association between the TyG index and HF rehospitalization was observed (HR 1.31, 95% CI, 1.07-1.61). CONCLUSION A high TyG index is associated with an increased risk of mortality and rehospitalization in patients with HFpEF. The TyG index may serve as a promising prognostic marker for patients with HFpEF.
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Affiliation(s)
- Qing Zhou
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Graduate School of Peking Union Medical College, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Department of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Peking University, Beijing, 100191, China
| | - Jie Yang
- Department of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Peking University, Beijing, 100191, China
| | - Hongyi Tang
- Department of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Peking University, Beijing, 100191, China
- Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, 100034, China
| | - Zexuan Guo
- Department of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Peking University, Beijing, 100191, China
| | - Wenyue Dong
- School of Basic Medical Sciences, Peking University, Beijing, 100091, China
| | - Yiting Wang
- School of Basic Medical Sciences, Peking University, Beijing, 100091, China
| | - Xiangbin Meng
- Department of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Peking University, Beijing, 100191, China
| | - Kuo Zhang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Graduate School of Peking Union Medical College, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Department of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Peking University, Beijing, 100191, China
| | - Wenyao Wang
- Department of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Peking University, Beijing, 100191, China
| | - Chunli Shao
- Department of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Peking University, Beijing, 100191, China
| | - Xinwei Hua
- Department of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Peking University, Beijing, 100191, China.
| | - Yi-Da Tang
- Department of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Peking University, Beijing, 100191, China.
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Xiang Q, Xu H, Zhan J, Lu S, Li S, Wang Y, Wang Y, He J, Ni Y, Li L, Liu Y, Liu Y. Reply to Mahat, R.K.; Rathore, V. Comment on "Xiang et al. Association between the Triglyceride-Glucose Index and Vitamin D Status in Type 2 Diabetes Mellitus. Nutrients 2023, 15, 639". Nutrients 2023; 15:4069. [PMID: 37764852 PMCID: PMC10535357 DOI: 10.3390/nu15184069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/06/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023] Open
Abstract
We are pleased to see that Mahat and Rathore [...].
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Affiliation(s)
- Qunyan Xiang
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Hui Xu
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Junkun Zhan
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Shuzhen Lu
- Department of Nursing, Hunan Normal University School of Medicine, Changsha 410013, China;
| | - Shuang Li
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Yanjiao Wang
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Yi Wang
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Jieyu He
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Yuqing Ni
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Linsen Li
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Yiyang Liu
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Youshuo Liu
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
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Mirjalili SR, Soltani S, Heidari Meybodi Z, Marques-Vidal P, Kraemer A, Sarebanhassanabadi M. An innovative model for predicting coronary heart disease using triglyceride-glucose index: a machine learning-based cohort study. Cardiovasc Diabetol 2023; 22:200. [PMID: 37542255 PMCID: PMC10403891 DOI: 10.1186/s12933-023-01939-9] [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: 06/01/2023] [Accepted: 07/24/2023] [Indexed: 08/06/2023] Open
Abstract
BACKGROUND Various predictive models have been developed for predicting the incidence of coronary heart disease (CHD), but none of them has had optimal predictive value. Although these models consider diabetes as an important CHD risk factor, they do not consider insulin resistance or triglyceride (TG). The unsatisfactory performance of these prediction models may be attributed to the ignoring of these factors despite their proven effects on CHD. We decided to modify standard CHD predictive models through machine learning to determine whether the triglyceride-glucose index (TyG-index, a logarithmized combination of fasting blood sugar (FBS) and TG that demonstrates insulin resistance) functions better than diabetes as a CHD predictor. METHODS Two-thousand participants of a community-based Iranian population, aged 20-74 years, were investigated with a mean follow-up of 9.9 years (range: 7.6-12.2). The association between the TyG-index and CHD was investigated using multivariate Cox proportional hazard models. By selecting common components of previously validated CHD risk scores, we developed machine learning models for predicting CHD. The TyG-index was substituted for diabetes in CHD prediction models. All components of machine learning models were explained in terms of how they affect CHD prediction. CHD-predicting TyG-index cut-off points were calculated. RESULTS The incidence of CHD was 14.5%. Compared to the lowest quartile of the TyG-index, the fourth quartile had a fully adjusted hazard ratio of 2.32 (confidence interval [CI] 1.16-4.68, p-trend 0.04). A TyG-index > 8.42 had the highest negative predictive value for CHD. The TyG-index-based support vector machine (SVM) performed significantly better than diabetes-based SVM for predicting CHD. The TyG-index was not only more important than diabetes in predicting CHD; it was the most important factor after age in machine learning models. CONCLUSION We recommend using the TyG-index in clinical practice and predictive models to identify individuals at risk of developing CHD and to aid in its prevention.
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Affiliation(s)
- Seyed Reza Mirjalili
- Yazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Sepideh Soltani
- Yazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Zahra Heidari Meybodi
- Yazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Pedro Marques-Vidal
- Department of Internal Medicine, BH10-642, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland
| | - Alexander Kraemer
- Department of Health Sciences, Bielefeld University, Bielefeld, Germany
| | - Mohammadtaghi Sarebanhassanabadi
- Yazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
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Liu Y, Zhu B, Zhou W, Du Y, Qi D, Wang C, Cheng Q, Zhang Y, Wang S, Gao C. Triglyceride-glucose index as a marker of adverse cardiovascular prognosis in patients with coronary heart disease and hypertension. Cardiovasc Diabetol 2023; 22:133. [PMID: 37296406 PMCID: PMC10257289 DOI: 10.1186/s12933-023-01866-9] [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: 04/28/2023] [Accepted: 05/25/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index has been proposed as a potential predictor of adverse prognosis of cardiovascular diseases (CVDs). However, its prognostic value in patients with coronary heart disease (CHD) and hypertension remains unclear. METHODS A total of 1467 hospitalized patients with CHD and hypertension from January 2021 to December 2021 were included in this prospective and observational clinical study. The TyG index was calculated as Ln [fasting triglyceride level (mg/dL) × fasting plasma glucose level (mg/dL)/2]. Patients were divided into tertiles according to TyG index values. The primary endpoint was a compound endpoint, defined as the first occurrence of all-cause mortality or total nonfatal CVDs events within one-year follow up. The secondary endpoint was atherosclerotic CVD (ASCVD) events, including non-fatal stroke/transient ischemic attack (TIA) and recurrent CHD events. We used restricted cubic spline analysis and multivariate adjusted Cox proportional hazard models to investigate the associations of the TyG index with primary endpoint events. RESULTS During the one-year follow-up period, 154 (10.5%) primary endpoint events were recorded, including 129 (8.8%) ASCVD events. After adjusting for confounding variables, for per standard deviation (SD) increase in the TyG index, the risk of incident primary endpoint events increased by 28% [hazard ratio (HR) = 1.28, 95% confidence interval (CI) 1.04-1.59]. Compared with subjects in the lowest tertile (T1), the fully adjusted HR for primary endpoint events was 1.43 (95% CI 0.90-2.26) in the middle (T2) and 1.73 (95% CI 1.06-2.82) in highest tertile (T3) (P for trend = 0.018). Similar results were observed in ASCVD events. Restricted cubic spline analysis also showed that the cumulative risk of primary endpoint events increased as TyG index increased. CONCLUSIONS The elevated TyG index was a potential marker of adverse prognosis in patients with CHD and hypertension.
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Affiliation(s)
- Yahui Liu
- Department of Cardiology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Binbin Zhu
- Department of Cardiology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Weicen Zhou
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Yao Du
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Datun Qi
- Department of Cardiology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Chenxu Wang
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Qianqian Cheng
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - You Zhang
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Shan Wang
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Chuanyu Gao
- Department of Cardiology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China.
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Wang Y, Liu T, Li Y, Zhang K, Fan H, Ren J, Li J, Li Y, Li X, Wu X, Wang J, Xue L, Gao X, Yan Y, Li G, Liu Q, Niu W, Du W, Liu Y, Niu X. Triglyceride-glucose index, symptomatic intracranial artery stenosis and recurrence risk in minor stroke patients with hypertension. Cardiovasc Diabetol 2023; 22:90. [PMID: 37076850 PMCID: PMC10114394 DOI: 10.1186/s12933-023-01823-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 04/03/2023] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index, a simple measure of insulin resistance, is associated with intracranial atherosclerosis (ICAS) and stroke. In hypertensive populations, this association may be pronounced. The aim was to investigate the relationship between TyG and symptomatic intracranial atherosclerosis (sICAS) and recurrence risk in ischemic stroke patients with hypertension. METHODS This prospective, multicenter cohort study included patients with acute minor ischemic stroke with a preadmission diagnosis of hypertension from September 2019 to November 2021 with a 3-month follow-up. The presence of sICAS was determined by a combination of clinical manifestations, the location of the infarction, and the corresponding artery with moderate-to-severe stenosis. ICAS burden was determined by the degree and number of ICAS occurrences. Fasting blood glucose (FBG) and triglyceride (TG) were measured to calculate TyG. The main outcome was ischemic stroke recurrence during the 90-day follow-up. Multivariate regression models were used to explore the association of TyG, sICAS, and ICAS burden with stroke recurrence. RESULTS There were 1281 patients with a mean age of 61.6 ± 11.6 years; 70.1% were male, and 26.4% were diagnosed with sICAS. There were 117 patients who experienced stroke recurrence during follow-up. Patients were categorized according to quartiles of TyG. After adjusting for confounders, the risk of sICAS was greater (OR 1.59, 95% CI 1.04-2.43, p = 0.033) and the risk of stroke recurrence was significantly higher (HR 2.02, 95% CI 1.07-3.84, p = 0.025) in the fourth TyG quartile than in the first quartile. The restricted cubic spline (RCS) plot revealed a linear relationship between TyG and sICAS, and the threshold value for TyG was 8.4. Patients were then dichotomized into low and high TyG groups by the threshold. Patients with high TyG combined with sICAS had a higher risk of recurrence (HR 2.54, 95% CI 1.39-4.65) than patients with low TyG without sICAS. An interaction effect on stroke recurrence between TyG and sICAS was found (p = 0.043). CONCLUSION TyG is a significant risk factor for sICAS in hypertensive patients, and there is a synergistic effect of sICAS and higher TyG on ischemic stroke recurrence. TRIAL REGISTRATION NUMBER The study was registered on 16 August 2019 at https://www.chictr.org.cn/showprojen.aspx?proj=41160 (No. ChiCTR1900025214).
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Affiliation(s)
- Yongle Wang
- Department of Neurology, First Hospital of Shanxi Medical University, No. 85, Jiefangnan Street, Yingze District, Taiyuan, Shanxi, China
- Clinical College, Shanxi Medical University, No. 58, Xinjiannan Street, Yingze District, Taiyuan, Shanxi, China
| | - Tingting Liu
- Department of Neurology, First Hospital of Shanxi Medical University, No. 85, Jiefangnan Street, Yingze District, Taiyuan, Shanxi, China
| | - Yanan Li
- Department of Neurology, First Hospital of Shanxi Medical University, No. 85, Jiefangnan Street, Yingze District, Taiyuan, Shanxi, China
| | - Kaili Zhang
- Department of Neurology, Shanxi Bethune Hospital, Tongji Shanxi Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Haimei Fan
- Department of Neurology, Sixth Hospital of Shanxi Medical University (General Hospital of Tisco), Taiyuan, Shanxi, China
| | - Jing Ren
- Shanxi Province Cardiovascular Disease Hospital, Taiyuan, Shanxi, China
| | - Juan Li
- Cangzhou Central Hospital, Cangzhou, Hebei, China
| | - Yali Li
- Clinical College, Shanxi Medical University, No. 58, Xinjiannan Street, Yingze District, Taiyuan, Shanxi, China
| | - Xinyi Li
- Department of Neurology, Shanxi Bethune Hospital, Tongji Shanxi Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Xuemei Wu
- Department of Neurology, Sixth Hospital of Shanxi Medical University (General Hospital of Tisco), Taiyuan, Shanxi, China
| | - Junhui Wang
- Yanhu Branch First Hospital of Shanxi Medical University, Yuncheng, Shanxi, China
| | - Lixi Xue
- Yanhu Branch First Hospital of Shanxi Medical University, Yuncheng, Shanxi, China
| | - Xiaolei Gao
- Taiyuan Wanbailin District Medical Group Central Hospital, Taiyuan, Shanxi, China
| | - Yuping Yan
- Taiyuan Wanbailin District Medical Group Central Hospital, Taiyuan, Shanxi, China
| | - Gaimei Li
- China Railway 17th Bureau Group Company Central Hospital, Shanxi, Taiyuan, China
| | - Qingping Liu
- China Railway 17th Bureau Group Company Central Hospital, Shanxi, Taiyuan, China
| | - Wenhua Niu
- First People's Hospital of JIN ZHONG, Jinzhong, Shanxi, China
| | - Wenxian Du
- First People's Hospital of JIN ZHONG, Jinzhong, Shanxi, China
| | - Yuting Liu
- Shanxi Province Cardiovascular Disease Hospital, Taiyuan, Shanxi, China
| | - Xiaoyuan Niu
- Department of Neurology, First Hospital of Shanxi Medical University, No. 85, Jiefangnan Street, Yingze District, Taiyuan, Shanxi, China.
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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: 5.0] [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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