Elevated TyG-BMI may Predict Mortality in Critically ill Ischemic Stroke Patients: Study

The effects of the TyG-BMI on 28-day hospital and intensive care unit mortality were examined using multivariate Cox regression models. To investigate the nonlinear association between the TyG-BMI and 28-day mortality, restricted cubic splines (RCS) were used. K-M curves were used to compare the results of the various TyG-BMI groups. Furthermore, subgroup and interaction analyses were conducted to confirm the results' resilience.

The mean age of the 1,362 severely sick IS patients that were included was 68.41 ± 14.16 years, and 47.50% of them were male. The high TyG-BMI group had substantially greater ICU and 28-day hospital mortality, according to multivariate Cox regression analysis. The TyG-BMI and 28-day inpatient mortality had a nonlinear positive connection, according to RCS analysis.

There was a 37.3% rise in 28-day hospital mortality for every 1 standard deviation (SD) increase in TyG-BMI below the inflection point of TyG-BMI = 380.37, and an 87.9% decrease in 28-day hospital mortality for every 1 SD increase in TyG-BMI beyond 380.376. The P value for the log-likelihood ratio test is 0.004. The TyG-BMI showed a strong positive linear connection in RCS for 28-day ICU mortality. Overall, among critically sick IS patients in the US, an elevated TyG-BMI is substantially associated with a higher risk of short-term all-cause mortality. 

Reference:

Ouyang, Q., Xu, L., & Yu, M. (2025). Associations of triglyceride glucose-body mass index with short-term mortality in critically ill patients with ischemic stroke. Cardiovascular Diabetology, 24(1). https://doi.org/10.1186/s12933-025-02583-1