Usefulness of Triglyceride-glucose index for detecting prevalent atrial fibrillation in a type 2 diabetic population

Atrial fibrillation (AF) is the most common arrhythmias, which significantly jeopardizes global cardiovascular health through the complicated heart failure and stroke. Published studies have demonstrated the impact of insulin resistance on the genesis of AF. Hence, monitoring insulin resistance may be a possible way to improve the detection of early-stage AF. Accordingly, our work aimed to investigate the association between TyG, a surrogate of insulin resistance, and the prevalent AF, and to evaluate the potential of TyG to refine the detection of prevalent AF in a diabetic population. This cross-sectional study was derived from the National Metabolic Management Center Program and included 3244 diabetic patients between September 2017 and December 2020. TyG was calculated as ln[fasting TG (mg/ dL)× FPG (mg/dL)/2]. AF was diagnosed according to electrocardiography and subjects’ self-reports. The prevalence of AF was 6.57%. In the fully adjusted model, each SD elevation of TyG cast a 40.6% additional risk for prevalent AF. In the quartile analysis, the top quartile showed a 2.120 times risk of prevalent AF compared with the bottom quartile. Smooth curve fitting demonstrated that the association was linear in the full range of TyG, and subgroup analysis suggested that the association was robust in several common subpopulations of AF. Furthermore, ROC results displayed an improvement for the detection of prevalent AF when adding TyG into conventional cardiovascular risk factors (0.812vs.0.825, P = 0.019), and continuous net reclassification index (0.227, 95% CI: 0.088–0.365, P = 0.001) and integrated discrimination index (0.007, 95% CI: 0.001–0.012, P = 0.026) also showed the improvement achieved by TyG. Our data supported a linear and robust correlation between TyG and the prevalent AF in a diabetic population. Moreover, our results implicated the potential usefulness of TyG to refine the detection of prevalent AF in a diabetic population.</p

Data_Sheet_1_Association between weight-adjusted-waist index and heart failure: Results from National Health and Nutrition Examination Survey 1999–2018.docx

BackgroundWeight-adjusted waist circumference index (WWI) is a novel index positively associated with excessive fat accumulation. The current study aims to evaluate the association between WWI and the prevalent heart failure (HF), and to assess the value of WWI to improve the detection of HF in the general population.MethodsA total of 25,509 subjects from National Health and Nutrition Examination Survey 1999–2018 were included into our study. WWI was calculated as WC (cm) divided by the square root of weight (kg). HF was identified according to the subjects’ reports.ResultsThe prevalence of reported HF was 2.96%. With adjustment of demographic, anthropometric, laboratory, and medical history data, one SD increment of WWI could cast an additional 19.5% risk for prevalent HF. After separating WWI into quartiles, the fourth quartile had a 1.670 times risk of prevalent HF compared to the first quartile. Furthermore, smooth curve fitting suggested that the association was linear in the entire range of WWI. Moreover, the association was robust to subgroups of age, sex, race, obesity, hypertension, and diabetes. Additionally, ROC analysis revealed a significant improvement for the detection of prevalent HF from WWI (0.890 vs. 0.894, P ConclusionOur data demonstrated a significant, linear, and robust association between WWI, a simple surrogate for fat mass accumulation, and the risk for prevalent HF in a representative population. Moreover, our results also suggested the potential value of WWI to refine the detection of prevalent HF in the general population.</p