highly significantP < .001
For TyG-BMI, the nonlinear relationship with all-cause mortality was highly significant (nonlinear P < .001), with a marked increase in mortality risk when TyG-BMI exceeded 215.145 (HR = 1.00, P = .031).
For TyG-BMI, the nonlinear relationship with all-cause mortality was highly significant (nonlinear P < .001), with a marked increase in mortality risk when TyG-BMI exceeded 215.145 (HR = 1.00, P = .031).
In the KDM-BA population, survival analyses across different quartiles of TyG-related indices (TyG, TyG-BMI, and TyG-WHtR) revealed significant differences, with log-rank tests showing a clear trend of decreased survival in higher quartiles for both all-cause and CVD mortality ( P < .001 for all indices; Fig. 2 A–F).
Additionally, the P -trend for all-cause mortality across quartiles of TyG ( P = .003), TyG-BMI ( P = .006), and TyG-WHtR ( P < .001) all showed a significant trend towards higher mortality with increasing quartiles (Tables S3–S5, Supplemental Digital Content, https://links.lww.com/MD/Q724 ).