The triglyceride-glucose (TyG) index has been identified as a reliable alternative biomarker of insulin resistance (IR). Recently, a considerable number of studies have provided robust statistical evidence suggesting that the TyG index is associated with the development and prognosis of cardiovascular disease (CVD). Nevertheless, the application of the TyG index as a marker of CVD has not systemically been evaluated, and even less information exists regarding the underlying mechanisms associated with CVD. To this end, in this review, we summarize the history of the use of the TyG index as a surrogate marker for IR. We aimed to highlight the application value of the TyG index for a variety of CVD types and to explore the potential limitations of using this index as a predictor for cardiovascular events to improve its application value for CVD and provide more extensive and precise supporting evidence.

ObjectivesThe triglyceride-glucose (TyG) index has been identified as a reliable and simple surrogate of insulin resistance. In this study, we sought to determine the association between TyG index and cardiac function among asymptomatic individuals with type 2 diabetes (T2DM) without history of any cardiovascular disease.Materials and methodsThe cross-sectional study enrolled 180 T2DM patients without cardiac symptoms. Heart failure with preserved ejection fraction (HFpEF) was defined as Heart Failure Association (HFA)-PEFF score ≥ 5 points.ResultsA total of 38 (21.1%) diabetic patients were identified with HFpEF. Compared with the low-TyG group (TyG index <9.47), patients in high-TyG group (TyG index ≥9.47) showed increased risk of metabolic syndrome and diastolic dysfunction (p < 0.05 for each). Furthermore, after adjustment of confounding variables, the TyG index showed positive correlation with risk factors of metabolic syndrome (including BMI, waist circumference, blood pressure, HbA1c, TG, TC, non-HDL-C, and fasting blood glucose, p < 0.05 for each) and parameters of diastolic dysfunction (E/e’ ratio, p < 0.0001) in patients with T2DM. Moreover, Receiver Operating Characteristic curve analysis showed that the TyG index could be better to predict the risk of suspected HFpEF than other indicators (AUC: 0.706, 95% CI: 0.612–0.801). According, on multiple regression analysis, TyG index was independently correlated with the incidence of HFpEF (odds ratio: 0.786, p = 0.0019), indicating that TyG index could be a reliable biomarker to predict the risk of HFpEF.ConclusionThe TyG index showed a positive correlation with the risk of subclinical HFpEF in patients with T2DM, providing a new marker to predict and treat HFpEF in diabetes.

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This research was aimed at examining psychological empowerment in mediating the relation between transformational leadership and employee satisfaction. With the method of questionnaire, 1252 medical staffs in Shanghai were investigated and data analysis tools were SPSS 16.0 and AMOS 17.0. The results indicated that, to some extent, psychological empowerment mediated the relation between transformational leadership and employee satisfaction. Meaning, competence and impact mediated the relation between visionary motivation and employee satisfaction, while only meaning between moral modeling and employee satisfaction.

Objectives The triglyceride-glucose (TyG) index has been identified as a reliable and simple surrogate of insulin resistance. In this study, we sought to determine the association between TyG index and cardiac function among asymptomatic individuals with type 2 diabetes (T2DM) without history of any cardiovascular disease. Materials and Methods The cross-sectional study enrolled 180 T2DM patients without cardiac symptoms. Heart failure with preserved ejection fraction (HFpEF) was defined as Heart Failure Association (HFA)-PEFF score ≥ 5 points. Results A total of 38 (21.1%) diabetic patients were identified with HFpEF. Compared with the low-TyG group (TyG index < 9.47), patients in high-TyG group (TyG index ≥ 9.47) showed increased risk of metabolic syndrome and diastolic dysfunction (P < 0.05 for each). Furthermore, after adjustment of confounding variables, the TyG index showed positive correlation with risk factors of metabolic syndrome (including BMI, HbA1c, TG, TC, non-HDL-C, and fasting blood glucose, P < 0.05 for each) and parameters of diastolic odysfunction (E/e’ ratio, P < 0.0001) in patients with T2DM. Moreover, receive operating characteristic analysis showed that the TyG index could be better to predict the risk of suspected HFpEF than other indicators (AUC: 0.706, 95% CI: 0.612–0.801). According, on multiple regression analysis, TyG index was independently correlated with the incidence of HFpEF (odds ratio: 0.883, P = 0.0003), indicating that TyG index could be a reliable biomarker to predict the risk of HFpEF. Conclusions The TyG index showed a positive correlation with the risk of subclinical HFpEF in patients with T2DM, providing a new marker to predict and treat HFpEF in diabetes.