Related Experiment Video
Updated: Jun 21, 2025
Investigating Aortic Valve Calcification via Isolation and Culture of T Lymphocytes using Feeder Cells from Irradiated Buffy Coat
Published on: February 4, 2021
Association of TyG index with aortic valve calcification in valvular heart disease patients
Peiyu Wang1,2, Yiyao Zeng1, Li Wang3
1Department of Cardiology, The Fourth Affiliated Hospital of Soochow University, Medical Center of Soochow University, Suzhou Dushu Lake Hospital, No 9, Chongwen Road, Suzhou City 215000, China.
Background:
In recent years, triglyceride glucose (TyG) index, as a popular metabolic index, has been proposed as an alternative index of insulin resistance, and it has been proved to be associated with many cardiovascular diseases, but the relationship between it and aortic valve calcification is still unknown.
Methods:
A total of 450 aortic valve disease patients were enrolled in this study, including 361 patients with aortic valve calcification (AVC) (calcification group) and 89 patients without (control group). According to the severity of AVC, patients with AVC included severe calcification, moderate calcification and low calcification. The TyG index was calculated based on fasting triglyceride and fasting blood glucose levels.
Results:
The TyG index in the calcification group was significantly higher than that in the control group (P < .05), and with the increase of the degree of calcification, the TyG index showed an increasing trend. The univariate and multivariate logistic regression analysis showed TyG index has a high predictive value for the presence of AVC (OR (95% CI): 1.743 (1.036-2.933)) and severe AVC (OR (95% CI): 1.608 (1.143-2.262)). In assessing the predictive value of the TyG index distribution width for AVC, with the first quartile as a reference, the last quartile of the TyG index had significant predictive value for the presence of AVC and severe AVC.
Conclusions:
TyG index was significantly associated with the presence and severity of AVC, suggesting that TyG index may be a valid predictor of AVC.
