Key result
High TyG index variability is linked to ~18% higher incident CVD risk in elderly adults.
Why the study?
While visit-to-visit variability in glucose and lipid levels independently contributes to cardiovascular disease risk, whether triglyceride-glucose index variability is also a risk factor remained unknown.
Does high visit-to-visit variability of the triglyceride-glucose (TyG) index increase the risk of cardiovascular disease in the elderly?
Cohort (n=27,520)
Yes
Does high visit-to-visit variability of the triglyceride-glucose (TyG) index increase the risk of cardiovascular disease in the elderly?
High visit-to-visit variability in the triglyceride-glucose index is associated with an elevated risk of cardiovascular disease in the elderly, independent of average TyG and other risk factors.
May inform elderly CVD risk stratification; leaves open whether targeting TyG variability improves outcomes.
Background. The aging population is increasingly susceptible to cardiovascular disease (CVD). Visit-to-visit variability in glucose and lipid levels both contributed to CVD risk independent of their mean values. However, whether variability in the triglyceride-glucose (TyG) index is a risk factor for CVD remains unknown. Research Design and Methods. In this retrospective study of electronic health records, 27,520 participants aged over 60 years were enrolled. The visit-to-visit variability of TyG index was calculated from annual health examination data and defined as average real variability (ARV), standard deviation (SD), or the coefficient of variability (CV). CVD events were identified from the chronic disease registry or follow-up database and included myocardial infarction, angina, coronary, and stroke. Multivariate Cox regression was used to examine the correlation between TyG variability and incident CVD. Results. Over a median follow-up of 6.2 years, there were 2,178 CVD events. When participants were divided into four quartiles according to their TyG variability, after adjusting for established CVD risk factors, subjects in the top quartile had (HR = 1.18, 95% CI 1.05–1.34, <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:mi>P</a:mi> <a:mo>=</a:mo> <a:mn>0.005</a:mn> </a:math> ) significantly higher CVD risk than those in the bottom quartile. The association remained significant in overweight individuals or those without diabetes ( <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" id="M2"> <c:mi>P</c:mi> <c:mo><</c:mo> <c:mn>0.005</c:mn> </c:math> and <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" id="M3"> <e:mi>P</e:mi> <e:mo><</e:mo> <e:mn>0.01</e:mn> </e:math> , respectively). Conclusions. High variability in TyG was significantly associated with elevated CVD risk in the elderly, independent of average TyG and other risk factors. Close monitoring variability in TyG might be informative to identify old individuals at high risk of CVD.
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Chen et al. (2022) conducted a cohort in Cardiovascular disease risk in the elderly (n=27,520). High visit-to-visit triglyceride-glucose (TyG) index variability (top quartile of average real variability) vs. Low visit-to-visit TyG index variability (bottom quartile of average real variability) was evaluated on First occurrence of incident cardiovascular disease (composite of coronary artery disease including hospital-admitted myocardial infarction, angina, or coronary revascularization, and ischemic or hemorrhagic stroke, or CVD-related death) (HR 1.18, 95% CI 1.05-1.34, p=0.005). High visit-to-visit TyG index variability (top vs. bottom quartile) was independently associated with increased incident CVD risk in elderly adults (HR 1.18, 95% CI 1.05-1.34, P=0.005).
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