Association between cumulative changes of the triglyceride glucose index and incidence of stroke in a population with cardiovascular-kidney-metabolic syndrome stage 0–3: a nationwide prospective cohort study
Lifei Lu, Yubiao Chen, Baiyun Liu, Xicong Li, Jiale Wang, Zhenlin Nie, Xiaodong Fu
Abstract
The triglyceride-glucose (TyG) index was associated with higher risk of mortality in individuals with Cardiovascular-Kidney-Metabolic (CKM) syndrome stages 0–3. However, the relationship between cumulative of TyG (cumTyG) and incidence of stroke remains unclear in individuals with CKM syndrome stages 0–3. Participants with CKM syndrome stage 0–3 were enrolled from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2015. TyG was calculated as ln [fasting triglyceride (mg/dL)×fasting glucose (mg/dL)/2], and the cumTyG, as an area-under-the-curve estimate (mean TyG × time span), was calculated as (TyG2012 + TyG 2015)/2 * time (2015–2012). TyG control levels were classified using k-mean clustering analysis. Logistic regression was used to analyze the effect of cumTyG and TyG control levels on the incidence of stroke. Restricted cubic spline models (RCS) were performed to explore the potential non-linear relationship between cumTyG and stroke risk at different CKM syndrome stages 0–3. A total of 4,700 CKM syndrome stages 0–3 participants were enrolled, among 280 patients had developed stroke during the 3-year follow-up period. After adjusting for confounders, compared to class 1 group, the odds ratio (OR) of incidents of stroke for class 2 was 1.39 [95% confidence interval (CI) 1.003, 1.92], P = 0.046; the OR of incidents of stroke for class 3 was 1.28 (95% CI 0.92–1.77), P = 0.147, the OR of incidents of stroke for class 4 was 1.28 (95% CI 0.84–1.94), P = 0.238. Elevated cumTyG was associated with an increase in incidence of stroke (OR 1.13, 95% CI 1.05, 1.22, P = 0.002). The relationship between the cumTyG index and stroke was linear in restricted cubic spline regression. Elevated cumTyG was associated with an increased risk of stroke events in the population of CKM syndrome stages 0–3. Long-term dynamic monitoring of changes of TyG may help in the early identification of patients at high risk of developing stroke in the individuals with CKM syndrome stages 0–3.