Triglyceride Glucose Index for the Prediction of Subclinical Atherosclerosis and Arterial Stiffness: A Meta-analysis of 37,780 Individuals

Sajdeya, Omar; Beran, Azizullah; Mhanna, Mohammed; Alharbi, Abdulmajeed; Burmeister, Cameron; Abuhelwa, Ziad; Malhas, Saif‐Eddin; Khader, Yasmin; Sayeh, Wasef; Assaly, Ragheb; Moukarbel, George V.

doi:10.1016/j.cpcardiol.2022.101390

Cited by 39 publications

(22 citation statements)

References 23 publications

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“…The findings are consistent with previous reports. [40] However, we further found that the type of study design, age, population, and disease status, particularly hypertension and diabetes, did not influence this association.…”

Section: Discussionmentioning

confidence: 60%

Association between the triglyceride-glucose index and arterial stiffness: A meta-analysis

et al. 2023

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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, I 2 = 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, I 2 = 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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Section: Discussionmentioning

confidence: 60%

Association between the triglyceride-glucose index and arterial stiffness: A meta-analysis

et al. 2023

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“…An association between TyG-index and CHD has been previously confirmed in observational [23,[31][32][33][34][35][36][37][38]and meta-analyses studies [19,39,40]but the inconsistency of predictive values and heterogeneity and incompleteness of confounding factors especially diet and medications, and the need for investigation of the association in non-diabetic patients prompted this study to be conducted. [19].…”

Section: Chd and Tyg-index Associationmentioning

confidence: 83%

An innovative model for predicting coronary heart disease using TyG-index: A machine learning-based cohort study

Mirjalili,

Soltani,

HeidaryMeibodi

et al. 2023

Preprint

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Background Various coronary heart disease (CHD) predictive models have been developed for predicting CHD incidence, but none of them has optimal predictive value. Although these models consider diabetes as an important CHD risk factor, they did not consider insulin resistance or Triglyceride. 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 to 12.2). The association between TyG-index (a logarithmised combination of fasting blood glucose and triglyceride that demonstrates insulin resistance) and CHD was investigated using multivariate Cox proportional hazard models. Diabetes was substituted for TyG-index in CHD prediction models developed using machine learning. CHD-predicting TyG-index cut-off points were calculated. Results The incidence of CHD was 14.5%.As compared to the lowest quartile of TyG-index, the fourth quartile had a fully adjusted hazard ratio of 2.32 (CI: 1.16–4.68, p-trend 0.04). In order to predict coronary heart disease, TyG-index > 8.42 had the highest negative predictive value. Machine learning models that predicted CHD based on TyG-index performed significantly better than those based on diabetes. TyG-index was not only more important than diabetes in prediction of CHD; it was the most important factor in machine learning models. Conclusion TyG-index can be used in clinical practice and predictive models as a highly valuable index for predicting and preventing CHD.

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“…Diabetes is considered a primary risk factor of cardiovascular diseases, however, the association between diabetes and PH has not been confirmed (32). Though IR has been widely indicated to be a risk factor for a number of cardiovascular diseases including MACE and atherosclerosis (1,2,12,33), few studies have reported the roles of IR in PH, especially in CAD patients. The novel TyG index, a simple surrogate marker of IR, has been widely used as a marker/risk factor/predictor for a large number of cardiovascular diseases (5,34-36).…”

Section: Discussionmentioning

confidence: 99%

Baseline TyG index, myoglobin, and cerebral infarction history predict the onset of pulmonary hypertension in coronary artery disease patients after PCI treatment within a median of 4.5 years: a prospective cohort study

Xie

et al. 2023

Preprint

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Aim: To identify the predictive role of the TyG index for the onset of pulmonary hypertension in patients with coronary artery disease (CAD) who underwent percutaneous coronary intervention (PCI) treatment. Methods: We performed this prospective cohort study among CAD patients who received PCI treatment in our center from July 2016 to October 2022. The baselines of echocardiography at both cross-sections and blood biomarkers. A coronary angiography operation was also performed. Within a median of 4.5 years of follow-up, the patients underwent echocardiography to measure their pulmonary hypertension (PH). Results: Baseline BNP was statistically higher in the PH patients (p = 0.007). The baseline myoglobin (MYO), was significantly higher among PH patients (p < 0.001). Though the glucose level showed no difference between PH and non-PH groups, the HDL-C was in a lower level in the PH group (p = 0.033). However, TyG index showed no differences between PH and non-PH groups [6.95 (6.47-7.36) vs. 7.15 (6.49-7.96), p = 0.202]. In the univariate regression, cerebral infarction history, right atria end-diastolic internal diameter, MYO, triglyceride, HDL-C and TyG index (p < 0.05) were potential predictors for PH. Finally, the adjusted logistic regression indicated that cerebral infarction history (p = 0.39), MYO (p = 0.044) and TyG index (p = 0.048) were independent predictors of the onset of PH. Conclusion: PH is prevalent in CAD patients after PCI treatment. The baseline TyG index, cerebral infarction history, and MYO level were independent predictors for PH in CAD patients after PCI treatment.

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Triglyceride Glucose Index for the Prediction of Subclinical Atherosclerosis and Arterial Stiffness: A Meta-analysis of 37,780 Individuals

Cited by 39 publications

References 23 publications

Association between the triglyceride-glucose index and arterial stiffness: A meta-analysis

Association between the triglyceride-glucose index and arterial stiffness: A meta-analysis

An innovative model for predicting coronary heart disease using TyG-index: A machine learning-based cohort study

Baseline TyG index, myoglobin, and cerebral infarction history predict the onset of pulmonary hypertension in coronary artery disease patients after PCI treatment within a median of 4.5 years: a prospective cohort study

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