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Locateli JC, Lopes WA, Simões CF, de Oliveira GH, Oltramari K, Bim RH, de Souza Mendes VH, Remor JM, Lopera CA, Nardo Junior N. Triglyceride/glucose index is a reliable alternative marker for insulin resistance in South American overweight and obese children and adolescents. J Pediatr Endocrinol Metab 2019; 32:1163-1170. [PMID: 31472061 DOI: 10.1515/jpem-2019-0037] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 07/14/2019] [Indexed: 02/07/2023]
Abstract
Background The aim of the present study was to investigate the correlation between the triglyceride/glucose index (TyG index) and homeostasis model assessment of insulin resistance (HOMA-IR). Additionally, we compared the ability of the TyG index and triglycerides/high-density lipoprotein cholesterol (TG/HDL-c) index and the combination of these two indices (TyG index plus TG/HDL-c) to predict insulin resistance (IR) in South American overweight and obese children and adolescents. Methods A cross-sectional study was carried out in 345 overweight adolescents aged 10-18 years, from both the sexes. The TyG index was calculated as Ln (fasting triglycerides [mg/dL] × fasting glucose [mg/dL])/2, while the TG/HDL-c index was calculated by the division of TG (mg/dL) by HDL-c (mg/dL). HOMA-IR was calculated with the formula: fasting insulin (FI) (U/mL) × fasting glucose (mmol/L)/22.5. The cut-off point used to determine the presence of IR was HOMA-IR ≥ 3.16. Results The TyG index showed a positive correlation with HOMA-IR. The area under the receiver operating characteristic (ROC) curve of the TyG index was 0.74, indicating good sensitivity (75.7%) and specificity (67.4%). Furthermore, the TyG index cut-off point of >4.44 was established for IR prediction in this population. Conclusions The TyG index is a simple and cost-effective surrogate marker of IR in South American overweight children and adolescents. Moreover, due to its good accessibility, it can be used in large epidemiological studies.
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Affiliation(s)
| | - Wendell Arthur Lopes
- Department of Physical Education, State University of Maringa, Av. Colombo, 5.790, Campus Universitário, Maringa,Paraná 87020-90, Brazil, Phone: +55(44)998794895, E-mail:
| | | | - Gustavo Henrique de Oliveira
- Department of Physical Education, State University of Maringa, Av. Colombo, 5.790, Campus Universitário, Maringa,Paraná 87020-90, Brazil, Phone: +55(44)998794895, E-mail:
| | | | | | | | - Jane Maria Remor
- Department of Physical Education, State University of Maringá, Maringá, Brazil
| | | | - Nelson Nardo Junior
- Department of Physical Education, State University of Maringá, Maringá, Brazil
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Jin JL, Sun D, Cao YX, Guo YL, Wu NQ, Zhu CG, Gao Y, Dong QT, Zhang HW, Liu G, Dong Q, Li JJ. Triglyceride glucose and haemoglobin glycation index for predicting outcomes in diabetes patients with new-onset, stable coronary artery disease: a nested case-control study. Ann Med 2018; 50:576-586. [PMID: 30207490 DOI: 10.1080/07853890.2018.1523549] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
AIM Previous studies have shown that both triglyceride glucose (TyG) and haemoglobin glycation indexes (HGI) are predictors of cardiovascular risk. However, the prognostic value of TyG index and HGI in patients with type 2 diabetes mellitus (T2DM) and stable coronary artery disease (CAD) is not determined. METHODS We conducted a nested case-control study among 1282 T2DM patients with stable CAD. Patients were followed up for 3846 person-years. A total of 160 patients with events (12.5%) were identified and matched individually on age, gender, previous use of lipid lowering agents and duration of follow-up with 640 controls. RESULTS In Kaplan-Meier analysis, the upper tertiles of TyG index and HGI had a significant lower event-free survival (p = .002; p = .036, respectively). Of the note, both TyG index and HGI were associated with increased risk of MACCEs after adjusting for confounding risk factors [adjusted HR (95% CI): 1.693 (1.238-2.316); 1.215 (1.046-1.411), respectively]. Moreover, adding TyG index to the Cox model increased the C-statistic to 0.638 (95%CI: 0.595-0.683, p = .002) while the C-statistic was not statistically improved when HGI was included (p = .240). CONCLUSIONS Both TyG index and HGI could predict cardiovascular outcomes in T2DM patients with new-onset, stable CAD while TyG index might be better. Key messages Both TyG and HGI are predictors of cardiovascular risk. The prognostic value of TyG index and HGI in T2DM patients with stable coronary artery disease is not determined. Our study firstly indicates that TyG index might have better prognostic value than HGI in T2DM patients with new-onset, stable CAD.
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Affiliation(s)
- Jing-Lu Jin
- a Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease , Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College , Beijing , China
| | - Di Sun
- a Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease , Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College , Beijing , China
| | - Ye-Xuan Cao
- a Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease , Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College , Beijing , China
| | - Yuan-Lin Guo
- a Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease , Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College , Beijing , China
| | - Na-Qiong Wu
- a Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease , Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College , Beijing , China
| | - Cheng-Gang Zhu
- a Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease , Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College , Beijing , China
| | - Ying Gao
- a Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease , Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College , Beijing , China
| | - Qiu-Ting Dong
- a Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease , Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College , Beijing , China
| | - Hui-Wen Zhang
- a Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease , Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College , Beijing , China
| | - Geng Liu
- a Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease , Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College , Beijing , China
| | - Qian Dong
- a Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease , Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College , Beijing , China
| | - Jian-Jun Li
- a Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease , Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College , Beijing , China
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Jin JL, Cao YX, Wu LG, You XD, Guo YL, Wu NQ, Zhu CG, Gao Y, Dong QT, Zhang HW, Sun D, Liu G, Dong Q, Li JJ. Triglyceride glucose index for predicting cardiovascular outcomes in patients with coronary artery disease. J Thorac Dis 2018; 10:6137-6146. [PMID: 30622785 DOI: 10.21037/jtd.2018.10.79] [Citation(s) in RCA: 123] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Background Triglyceride glucose (TyG) index is a novel marker for metabolic disorders and recently it has been reported to be associated with cardiovascular disease (CVD) risk in apparently healthy individuals. However, the prognostic value of TyG index in patients with stable coronary artery disease (CAD) is not determined. Methods We conducted a nested case-control study among 3,745 patients with stable CAD. Patients were followed up for 11,235 person-years. The cardiovascular events (CVEs) were defined as all-cause death, non-fatal myocardial infarction (MI), stroke and post-discharge revascularization [percutaneous coronary intervention (PCI) coronary artery bypass grafting (CABG)]. In total, 290 (7.7%) patients with CVEs and 1,450 controls were matched according to age, gender, previous history of PCI or CABG and the duration of follow-up. TyG index was calculated as formula: ln[fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2]. Results Multivariable Cox proportional hazards models revealed that TyG index was positively associated with CVEs risk (hazard ratio: 1.364, 95% confidence interval: 1.100-1.691, P=0.005). The Kaplan-Meier analysis indicated that patients within the highest quartile of TyG index presented the lowest event-free survival (P=0.029). Moreover, a 1-standard deviation (SD) increment in TyG index was associated with 23.2% [hazard ratio (HR): 1.232, 95% confidence interval (95% CI): 1.084-1.401] higher risk of CVEs, which was superior to other triglyceride or glycemic related markers. Conclusions The present study, firstly, showed that TyG index was positively associated with future CVEs, suggesting that TyG may be a useful marker for predicting clinical outcomes in patients with CAD.
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Affiliation(s)
- Jing-Lu Jin
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China
| | - Ye-Xuan Cao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China
| | - Li-Guo Wu
- Department of Cardiology, TangXian People's Hospital, Baoding 072350, China
| | - Xiang-Dong You
- Department of Cardiology, TangXian People's Hospital, Baoding 072350, China
| | - Yuan-Lin Guo
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China
| | - Na-Qiong Wu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China
| | - Cheng-Gang Zhu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China
| | - Ying Gao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China
| | - Qiu-Ting Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China
| | - Hui-Wen Zhang
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China
| | - Di Sun
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China
| | - Geng Liu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China
| | - Qian Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China
| | - Jian-Jun Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China
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