Associations of combined triglyceride-glucose and sarcopenia index with incident cardiovascular disease in middle-aged and older Chinese adults

Associations of combined triglyceride-glucose and sarcopenia index with incident cardiovascular disease in middle-aged and older Chinese adults. Download PDF Abstract Cardiovascular disease (CVD) is the leading global cause of mortality, with metabolic dysfunction and sarcopenia synergistically increasing risk in aging populations. We investigated whether cumulative exposure and dynamic trajectories of a novel combined triglyceride-glucose and sarcopenia index (TyG-SI) predict incident CVD in middle-aged and older Chinese adults.We analyzed data from 4,466 participants (≥45 years) from the China Health and Retirement Longitudinal Study (CHARLS) who were free of CVD at baseline (2011–2012).

TyG-SI was calculated as TyG index (ln[triglycerides (mg/dL) × glucose (mg/dL)/2]) divided by the sarcopenia index [serum creatinine(mg/L)/serum cystatin C(mg/dL) × 100]. Cumulative TyG-SI (cuTyG-SI) was computed as the product of mean TyG-SI values from 2012 and 2015 and the time interval. K-means cluster analysis identified three distinct TyG-SI trajectory patterns (low-decreasing, moderate-stable, high-decreasing).

Cox proportional hazards models and restricted cubic splines (RCS) analysis were used to assessed the associations between TyG-SI and CVD risk. Time-dependent C-statistics, integrated discrimination improvement (IDI), and net reclassification improvement (NRI) assessed predictive performance. Over a median follow-up of 8.22 years, 1,201 incident CVD cases occurred.

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