1
|
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.
Collapse
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.
| |
Collapse
|
2
|
Su C, Wang Z, Qin Z, Lv Y, Hou Y, Zhang G, Cheng M, Cui X, Liu Z, Du P, Liu T, Yuan P, Tang J, Zhang J. TYG Index as a Novel Predictor of Clinical Outcomes in Advanced Chronic Heart Failure with Renal Dysfunction Patients. Clin Interv Aging 2024; 19:639-654. [PMID: 38706634 PMCID: PMC11068055 DOI: 10.2147/cia.s462542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 04/19/2024] [Indexed: 05/07/2024] Open
Abstract
Background The triglyceride-glucose (TYG) index is a novel and reliable marker reflecting insulin resistance. Its predictive ability for cardiovascular disease onset and prognosis has been confirmed. However, for advanced chronic heart failure (acHF) patients, the prognostic value of TYG is challenged due to the often accompanying renal dysfunction (RD). Therefore, this study focuses on patients with aHF accompanied by RD to investigate the predictive value of the TYG index for their prognosis. Methods and Results 717 acHF with RD patients were included. The acHF diagnosis was based on the 2021 ESC criteria for acHF. RD was defined as the eGFR < 90 mL/(min/1.73 m2). Patients were divided into two groups based on their TYG index values. The primary endpoint was major adverse cardiovascular events (MACEs), and the secondary endpoints is all-cause mortality (ACM). The follow-up duration was 21.58 (17.98-25.39) months. The optimal cutoff values for predicting MACEs and ACM were determined using ROC curves. Hazard factors for MACEs and ACM were revealed through univariate and multivariate COX regression analyses. According to the univariate COX regression analysis, high TyG index was identified as a risk factor for MACEs (hazard ratio = 5.198; 95% confidence interval [CI], 3.702-7.298; P < 0.001) and ACM (hazard ratio = 4.461; 95% CI, 2.962-6.718; P < 0.001). The multivariate COX regression analysis showed that patients in the high TyG group experienced 440.2% MACEs risk increase (95% CI, 3.771-7.739; P < 0.001) and 406.2% ACM risk increase (95% CI, 3.268-7.839; P < 0.001). Kaplan-Meier survival analysis revealed that patients with high TyG index levels had an elevated risk of experiencing MACEs and ACM within 30 months. Conclusion This study found that patients with high TYG index had an increased risk of MACEs and ACM, and the TYG index can serve as an independent predictor for prognosis.
Collapse
Affiliation(s)
- Chang Su
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Zeyu Wang
- Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Zhen Qin
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Yan Lv
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Yachen Hou
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Ge Zhang
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Mengdie Cheng
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Xinyue Cui
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Zhiyu Liu
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Pengchong Du
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Tianding Liu
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Peiyu Yuan
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Junnan Tang
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Jinying Zhang
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| |
Collapse
|
3
|
Lv L, Xiong J, Huang Y, He T, Zhao J. Association between the Triglyceride Glucose Index and All-Cause Mortality in Critically Ill Patients with Acute Kidney Injury. KIDNEY DISEASES (BASEL, SWITZERLAND) 2024; 10:69-78. [PMID: 38322625 PMCID: PMC10843181 DOI: 10.1159/000535891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 12/15/2023] [Indexed: 02/08/2024]
Abstract
Introduction The triglyceride glucose (TyG) index is a reliable alternative biomarker of insulin resistance, but the association between the TyG index and acute kidney injury (AKI) in critically ill patients remains unclear. Methods The data for the study were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Cox regression and restricted cubic spline (RCS) analysis were performed to analyze the association between the TyG index and all-cause mortality. Besides, Cox regression was carried out in subgroups of age, gender, BMI, diabetes history, and dialysis status. Results A total of 7,508 critically ill participants with AKI from the MIMIC-IV database were included in this study, with 3,688 (49.12%) participants failed to survive. In Cox regression, after confounder adjustment, patients with a higher TyG index had a higher risk of all-cause mortality (HR = 1.845, 95% CI = 1.49-2.285, p < 0.001). In RCS, after confounder adjustment, the risk of death was positively correlated with the increased value of the TyG index when TyG index surpassed 10.014. This relationship was validated in age, gender, BMI, diabetes subgroups but not in the dialysis subgroup. Interestingly, RCS analysis demonstrated that, in patients undertaking dialysis, there is a "U"-shaped curve for the value of TyG index and risk of all-cause mortality. When TyG index is less than 10.460, the risk of all-cause mortality would decrease with the increased value of TyG index, while when TyG index is higher than 11.180, the risk of all-cause mortality would increase firmly with the increased value of TyG index. Conclusion Overall, a higher TyG index is associated with a higher risk of all-cause mortality in critically ill AKI. Interestingly, the relationship in the dialysis subgroup follows a "U"-shaped curve, indicating the importance of proper clinical blood glucose and lipid management in this particular population.
Collapse
Affiliation(s)
- Liangjing Lv
- Department of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jiachuan Xiong
- Department of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yinghui Huang
- Department of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ting He
- Department of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jinghong Zhao
- Department of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| |
Collapse
|
4
|
Aktas H, Inci S, Gul M, Gencer S, Yildirim O. Increased triglyceride-glucose index predicts contrast-induced nephropathy in non-diabetic NSTEMI patients: A prospective study. J Investig Med 2023; 71:838-844. [PMID: 37377036 DOI: 10.1177/10815589231182317] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
Abstract
The triglyceride-glucose (TyG) index is a new reliable marker of insulin resistance (IR) and has recently been reported to be associated with renal dysfunction and contrast-induced nephropathy (CIN). Our aim in this study is to investigate the relationship between the TyG index and CIN in non-diabetic non-ST elevation acute myocardial infarction (NSTEMI) patients. The study included 272 non-diabetic patients who applied with NSTEMI and underwent coronary angiography (CAG). Patient data were divided into quartiles according to the TyG index: Q1: TyG < 8.55; Q2: 8.55 ≤ TyG ≤ 8.87; Q3: 8.88 ≤ TyG ≤ 9.29; and Q4: TyG > 9.29. Baseline characteristics, laboratory measurements, angiography data, and the incidence of CIN were compared between the groups. CIN was observed in 18 (6.6%) patients in the study. The incidence of CIN was lowest in the Q1 group and highest in the Q4 group (1 (1.5%) in Q1; 3 (4.4%) in Q2; 5 (7.4%) in Q3; 9 (13.2%) in Q4; p = 0.040). TyG index was found to be an independent risk factor for the development of CIN in multivariate logistic regression analysis (odds ratio = 6.58; confidence interval (CI) = 2.12-20.40; p = 0.001). TyG index value of 9.17 was identified as an effective cut-off point for the prediction of CIN (Area under the curve: 0.712, CI: 0.590-0.834, p = 0.003), and it had a sensitivity of 61% and a specificity of 72%. The results of this study showed that a high TyG index increases the incidence of CIN after CAG in non-diabetic NSTEMI patients and is an independent risk factor for the development of CIN.
Collapse
Affiliation(s)
- Halil Aktas
- Department of Cardiology, Faculty of Medicine, Aksaray University, Aksaray, Turkey
| | - Sinan Inci
- Department of Cardiology, Faculty of Medicine, Aksaray University, Aksaray, Turkey
| | - Murat Gul
- Department of Cardiology, Faculty of Medicine, Aksaray University, Aksaray, Turkey
| | - Selman Gencer
- Department of Internal Medicine, Faculty of Medicine, Aksaray University, Aksaray, Turkey
| | - Oguz Yildirim
- Department of Cardiology, Aksaray Education and Research Hospital, Aksaray, Turkey
| |
Collapse
|
5
|
Yang H, Chen Y, Liu C. Triglyceride-glucose index is associated with metabolic syndrome in women with polycystic ovary syndrome. Gynecol Endocrinol 2023; 39:2172154. [PMID: 36708155 DOI: 10.1080/09513590.2023.2172154] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
OBJECTIVE To explore the correlation of triglyceride-glucose index (TyG) index with metabolic syndrome (MetS) and metabolic risk factors, and to assess the predictive value of TyG for MetS in women with PCOS. METHODS This is a retrospective cross-sectional study that included 819 women diagnosed with PCOS and 3122 women without PCOS from January 2018 to December 2021. The definition of MetS adopted in this study was the International Diabetes Federation (IDF) criteria. The TyG index was calculated as the ln (fasting triglyceride level [mg/dL] × fasting glucose level [mg/dL]/2). RESULTS MetS was diagnosed in 266 women (32.5%) among 819 subjects with PCOS, and in 287 women (9.2%) among 3122 subjects without PCOS. Logistic regression analysis showed that women in the highest tertile of TyG index had the highest prevalence of MetS (OR = 3.66, 95%CI: 1.28-10.49) after adjusting for confounding factors. Compared with the lowest tertile, PCOS women in the highest tertile showed the highest odds ratio of hypertension, obesity, central obesity, hyperglycemia and dyslipidemia. Furthermore, TyG index was able to identify MetS in women with PCOS, and the optimal cutoff values were 8.65 (Youden index = 0.65). CONCLUSION TyG index was positively and independently correlated with the prevalence of MetS, which also indicated a good predictive ability in women with PCOS.
Collapse
Affiliation(s)
- Haiyan Yang
- Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, PR China
| | - Yufeng Chen
- Gynaecology, The First People's Hospital of Jiashan County, Jiaxing, Zhejiang, PR China
| | - Chang Liu
- Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, PR China
| |
Collapse
|
6
|
Cui C, Liu L, Zhang T, Fang L, Mo Z, Qi Y, Zheng J, Wang Z, Xu H, Yan H, Yue S, Wang X, Wu Z. Triglyceride-glucose index, renal function and cardiovascular disease: a national cohort study. Cardiovasc Diabetol 2023; 22:325. [PMID: 38017519 PMCID: PMC10685637 DOI: 10.1186/s12933-023-02055-4] [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: 10/12/2023] [Accepted: 11/06/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index is a predictor of cardiovascular diseases; however, to what extent the TyG index is associated with cardiovascular diseases through renal function is unclear. This study aimed to evaluate the complex association of the TyG index and renal function with cardiovascular diseases using a cohort design. METHODS This study included participants from the China Health and Retirement Longitudinal Study (CHARLS) free of cardiovascular diseases at baseline. We performed adjusted regression analyses and mediation analyses using Cox models. The TyG index was calculated as Ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. Renal function was defined by the estimated glomerular filtration rate (eGFR). RESULTS A total of 6 496 participants were included in this study. The mean age of the participants was 59.6 ± 9.5 years, and 2996 (46.1%) were females. During a maximum follow-up of 7.0 years, 1 996 (30.7%) people developed cardiovascular diseases, including 1 541 (23.7%) cases of heart diseases and 651 (10.0%) cases of stroke. Both the TyG index and eGFR level were significantly associated with cardiovascular diseases. Compared with people with a lower TyG index (median level) and eGFR ≥ 60 ml/minute/1.73 m2, those with a higher TyG index and decreased eGFR had the highest risk of cardiovascular diseases (HR, 1.870; 95% CI 1.131-3.069). Decreased eGFR significantly mediated 29.6% of the associations between the TyG index and cardiovascular diseases. CONCLUSIONS The combination of a higher TyG index and lower eGFR level was associated with the highest risk of cardiovascular diseases. Renal function could mediate the association between the TyG index and cardiovascular risk.
Collapse
Affiliation(s)
- Cancan Cui
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China
| | - Lin Liu
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China
| | - Te Zhang
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China
| | - Ling Fang
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China
| | - Zhanhao Mo
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China
| | - Yitian Qi
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China
| | - Jia Zheng
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China
| | - Zhijia Wang
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China
| | - Haikun Xu
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China
| | - Han Yan
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China
| | - Siqi Yue
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China
| | - Xuekui Wang
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
| | - Zhiyuan Wu
- Centre for Precision Health, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia.
| |
Collapse
|
7
|
Chang W, Liu CC, Huang YT, Wu JY, Tsai WW, Hung K, Chen I, Feng PH. Diagnostic efficacy of the triglyceride-glucose index in the prediction of contrast-induced nephropathy following percutaneous coronary intervention. Front Endocrinol (Lausanne) 2023; 14:1282675. [PMID: 38075076 PMCID: PMC10703478 DOI: 10.3389/fendo.2023.1282675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/09/2023] [Indexed: 12/18/2023] Open
Abstract
Introduction Contrast-induced nephropathy (CIN) is a common complication of percutaneous coronary intervention (PCI). Identifying patients at high CIN risk remains challenging. The triglyceride-glucose (TyG) index may help predict CIN but evidence is limited. We conducted a meta-analysis to evaluate the diagnostic value of TyG index for CIN after PCI. Methods A systematic literature search was performed in MEDLINE, Cochrane, and EMBASE until August 2023 (PROSPERO registration: CRD42023452257). Observational studies examining TyG index for predicting CIN risk in PCI patients were included. This diagnostic meta-analysis aimed to evaluate the accuracy of the TyG index in predicting the likelihood of CIN. Secondary outcomes aimed to assess the pooled incidence of CIN and the association between an elevated TyG index and the risk of CIN. Results Five studies (Turkey, n=2; China, n=3) with 3518 patients (age range: 57.6 to 68.22 years) were included. The pooled incidence of CIN was 15.3% [95% confidence interval (CI) 11-20.8%]. A high TyG index associated with increased CIN risk (odds ratio: 2.25, 95% CI 1.82-2.77). Pooled sensitivity and specificity were 0.77 (95% CI 0.59-0.88) and 0.55 (95% CI 0.43-0.68) respectively. Analysis of the summary receiver operating characteristic (sROC) curve revealed an area under the curve of 0.69 (95% CI 0.65-0.73). There was a low risk of publication bias (p = 0.81). Conclusion The TyG index displayed a noteworthy correlation with the risk of CIN subsequent to PCI. However, its overall diagnostic accuracy was found to be moderate in nature. While promising, the TyG index should not be used in isolation for CIN screening given the heterogeneity between studies. In addition, the findings cannot be considered conclusive given the scarcity of data. Further large-scale studies are warranted to validate TyG cutoffs and determine how to optimally incorporate it into current risk prediction models. Systematic Review Registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023452257, identifier CRD42023452257.
Collapse
Affiliation(s)
- Wei−Ting Chang
- School of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung, Taiwan
- Division of Cardiology, Department of Internal Medicine, Chi-Mei Medical Center, Tainan, Taiwan
- Department of Biotechnology, Southern Taiwan University of Science and Technology, Tainan, Taiwan
| | - Chien-Cheng Liu
- Department of Anesthesiology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
- Department of Nursing, College of Medicine, I-Shou University, Kaohsiung, Taiwan
- School of Medicine, I-Shou University, Kaohsiung, Taiwan
| | - Yen-Ta Huang
- Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Jheng-Yan Wu
- Department of Nutrition, Chi Mei Medical Center, Tainan, Taiwan
| | - Wen-Wen Tsai
- Department of Neurology, Chi-Mei Medical Center, Tainan, Taiwan
| | - Kuo−Chuan Hung
- Department of Anesthesiology, Chi Mei Medical Center, Tainan, Taiwan
- School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - I−Wen Chen
- Department of Anesthesiology, Chi Mei Medical Center, Liouying, Tainan, Taiwan
| | - Ping-Hsun Feng
- Department of Anesthesiology, Chi Mei Medical Center, Liouying, Tainan, Taiwan
| |
Collapse
|
8
|
Gursoy E, Baydar O. The triglyceride-glucose index and contrast-induced nephropathy in non-ST elevation myocardial infarction patients undergoing percutaneous coronary intervention. Medicine (Baltimore) 2023; 102:e32629. [PMID: 36637929 PMCID: PMC9839251 DOI: 10.1097/md.0000000000032629] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
The triglyceride glucose (TyG) index is an indicator of insulin resistance and associated with increased risk of diabetes mellitus and cardiovascular events. Our study investigates the correlation between TyG index and contrast induced nephropathy (CIN) in non-diabetic patients with non-ST elevation myocardial infarction (NSTEMI) undergoing percutaneous coronary intervention (PCI). 350 non-diabetic NSTEMI patients (183, 52.3% male) undergoing PCI were retrospectively enrolled. The enrolled cohort was divided into 2 groups based on the calculated TyG index, namely values < 8.65 or higher. CIN was defined as an increase in serum creatinine > 25% or 0.5 mg/dL from baseline in the first 48 to 72 hours after PCI. A total of 56 (16%) cases of CIN were diagnosed. In contrast to patients with lower TyG indexes, patients with higher TyG indexes (≥8.65) had a higher frequency of CIN, 9.5%. versus 20.8% respectively (P .004). Patients with CIN also had higher TyG indexes (8.74 ± 0.12 vs 8.67 ± 0.11, P < .001). In addition, TyG index, age, and glomerular filtration rate were identified as independent risk factors for CIN in logistic regression model (OR: 2.5 CI: 1.3-4.6, P .006, OR: 1.0 CI: 1.0-1.1, P < .001, OR: 1.0 KI: 1.03-1.06, P .025). In the ROC analysis, the area under the curve predictive of CIN was 0.666 (P < .001, 95% [CI] 0.58-0.75) with a cutoff value of 8.69 (sensitivity 71,4%, specificity 55.1%) TyG index. Higher TyG indexes are associated with an increased risk of CIN in non-diabetic patients with NSTEMI.
Collapse
Affiliation(s)
- Erol Gursoy
- Koc University Hospital, Department of Cardiology, Istanbul, Turkey
- * Correspondence: Erol Gürsoy, Koc University Hospital, Department of Cardiology, Maltepe District, Davutpaşa Street, No:4, Zeytinburnu, Istanbul, Turkey (e-mail: )
| | - Onur Baydar
- Koc University Hospital, Department of Cardiology, Istanbul, Turkey
| |
Collapse
|
9
|
Triglyceride-Glucose Index May Predict Renal Survival in Patients with IgA Nephropathy. J Clin Med 2022; 11:jcm11175176. [PMID: 36079108 PMCID: PMC9456599 DOI: 10.3390/jcm11175176] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/22/2022] [Accepted: 08/24/2022] [Indexed: 11/28/2022] Open
Abstract
Background: The triglyceride−glucose (TyG) index is a simple, novel and reliable surrogate marker of insulin resistance. However, evidence for the prognostic impact of an elevated TyG index on IgA nephropathy (IgAN) is limited. Therefore, we evaluated the relationship between the TyG index and the risk of renal progression in IgAN. Method: This cohort study involved biopsy-proven IgAN between January 2009 and December 2018 in West China Hospital, in which patients were assigned to two groups based on the cut-off value of TyG using receiver operating characteristic (ROC) curves. A 1:1 matched-pair analysis was established to optimize the bias in IgAN by propensity score matching (PSM). The TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. The composite endpoint was defined by eGFR decreased ≥50% of the baseline level, end-stage kidney disease (ESKD), renal transplantation and/or death. Univariable and multivariable Cox proportional hazard models were applied to confirm the predictive value of the optimal marker. Results: Before PSM, a total of 1210 participants were ultimately included. During a median follow-up period of 55.8 months (range 37.20−79.09 months), 129 participants progressed to the composite endpoint (10.7%). After PSM, 366 patients were enrolled in the matched cohort, of whom 34 (9.3%) patients reached the endpoints. Based on the cut-off value of the TyG index, patients were divided into the low TyG index group (TyG ≤ 8.72, n = 690) and the high TyG index group (TyG > 8.72, n = 520). Further analysis demonstrated that a higher TyG index was significantly associated with a higher risk of reaching composite endpoints in IgAN patients in both the unmatched and matched cohorts (before PSM: HR 2.509, 95% CI 1.396−4.511, p = 0.002; after PSM: HR 2.654, 95% CI 1.299−5.423, p = 0.007). Conclusion: A high TyG index is associated with a higher risk of renal progression.
Collapse
|