Mao-Jun Liu: Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Jun-Yu Pei: Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Cheng Zeng: Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Ying Xing: Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Yi-Feng Zhang: Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Pei-Qi Tang: Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Si-Min Deng: Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Xin-Qun Hu: Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China. huxinqun@csu.edu.cn.
BACKGROUND: Recent studies have indicated that triglyceride glucose (TyG)-waist height ratio (WHtR) and TyG-waist circumference (TyG-WC) are effective indicators for evaluating insulin resistance. However, research on the association in TyG-WHtR, TyG-WC, and the risk and prognosis of major adverse cardiovascular events (MACEs) in type 2 diabetes mellitus (T2DM) cases are limited. AIM: To clarify the relation in TyG-WHtR, TyG-WC, and the risk of MACEs and overall mortality in T2DM patients. METHODS: Information for this investigation was obtained from Action to Control Cardiovascular Risk in Diabetes (ACCORD)/ACCORD Follow-On (ACCORDION) study database. The Cox regression model was applied to assess the relation among TyG-WHtR, TyG-WC and future MACEs risk and overall mortality in T2DM cases. The RCS analysis was utilized to explore the nonlinear correlation. Subgroup and interaction analyses were conducted to prove the robustness. The receiver operating characteristic curves were applied to analysis the additional predicting value of TyG-WHtR and TyG-WC. RESULTS: After full adjustment for confounding variables, the highest baseline TyG-WHtR cohort respectively exhibited a 1.353-fold and 1.420-fold higher risk for MACEs and overall mortality, than the lowest quartile group. Similarly, the highest baseline TyG-WC cohort showed a 1.314-fold and 1.480-fold higher risk for MACEs and overall mortality, respectively. Each 1 SD increase in TyG-WHtR was significantly related to an 11.7% increase in MACEs and a 14.9% enhance in overall mortality. Each 1 SD increase in TyG-WC corresponded to an 11.5% in MACEs and a 16.6% increase in overall mortality. Including these two indexes in conventional models significantly improved the predictive power for MACEs and overall mortality. CONCLUSION: TyG-WHtR and TyG-WC were promising predictors of MACEs and overall mortality risk in T2DM cases.
