AI Article Synopsis

  • The aging population is more vulnerable to cardiovascular disease (CVD), and this study investigates whether variability in the triglyceride-glucose (TyG) index contributes to CVD risk.
  • Over a median follow-up of 6.2 years, the study analyzed 27,520 participants aged over 60 and found that those with high TyG variability faced a significantly higher risk of CVD events compared to those with low variability.
  • The results suggest that monitoring TyG variability could help identify older adults at an increased risk of CVD, independent of their average TyG levels and other known risk factors.

Article Abstract

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. . 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, =0.005) significantly higher CVD risk than those in the bottom quartile. The association remained significant in overweight individuals or those without diabetes ( < 0.005 and < 0.01, 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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9507760PMC
http://dx.doi.org/10.1155/2022/5125884DOI Listing

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