Association of a new TyG indicator, TyHGB, with cardiovascular disease incidence among the elderly: evidence from a prospective cohort study

OBJECTIVE: CVDs remain a major global public health concern, highlighting the need for simple and effective screening tools. Current evidence regarding the association between TyHGB and CVDs were limited. This study aims to investigate the association between TyHGB and CVDs among the elderly using data from a large community-based cohort study. METHOD: This study utilized data from the BaHLS involving elderly individuals in Shenzhen, China. The TyHGB value was calculated using the following formula: TyHGB = TG/HDL-C + 0.7 × FBG (mmol/L) + 0.1 × BMI (kg/m²). A multivariate Cox proportional hazards model and a RCS model were employed to assess the longitudinal association between TyHGB and CVDs. RESULTS: A total of 26,603 subjects were included in the study, of whom 1,968 (7.40%) experienced CVD events during the follow-up period. After adjusting for confounding factors, we found that for per 1-SD increase in TyHGB, the HRs for overall CVDs, stroke, and AMI were 1.12 (95% CI: 1.07-1.16), 1.09 (95% CI: 1.04-1.15), and 1.30 (95% CI: 1.24-1.37), respectively. After stratification by baseline TyHGB quartiles, higher TyHGB levels were associated with increased risks of overall CVDs, stroke, and AMI, with HRs of 1.35 (95% CI: 1.15-1.56), 1.23 (95% CI: 1.03-1.47), and 1.72 (95% CI: 1.33-2.21), respectively; these significant associations were consistent in subgroup analysis. RCS models revealed a linear association between TyHGB and risks of overall CVDs, stroke, and AMI (nonlinear test, P > 0.05). CONCLUSION: TyHGB demonstrates a significant longitudinal association with CVDs events among the elderly. Derived from routine clinical laboratory parameters, TyHGB represents a promising tool for CVDs risk stratification and prevention in this population.