Preoperative TyG-BMI exerted no direct independent effect on long-term outcome of eGFR, and it is unlikely that TyG-BMI serves as a primary determinant of CKD in patients with CHD after PCI.
Multivariate linear regression revealed no statistically significant linear association between preoperative TyG-BMI and eGFR in CHD patients after PCI.
Logistic regression indicated that TyG-BMI was not an independent influencing factor of low eGFR status in CHD patients after PCI.
Restricted cubic spline (RCS) analysis showed no statistically significant nonlinear association between TyG-BMI and eGFR.
The study employed a multifaceted analytical approach to comprehensively evaluate the relationship between preoperative TyG-BMI and follow-up eGFR.
The authors conclude that future studies should evaluate combined risk models rather than TyG-BMI alone for predicting CKD in CHD patients after PCI.
This research looked at whether a measure called the TyG-BMI index — which combines triglyceride levels, blood sugar levels, and body mass index — could predict kidney function decline in patients who had heart disease and underwent a procedure called percutaneous coronary intervention (PCI), a procedure to open blocked arteries. The study followed 1,020 such patients over up to 10 years, examining whether their TyG-BMI score measured before their procedure was linked to their kidney function (measured by estimated glomerular filtration rate, or eGFR) at their most recent follow-up visit. Using three different statistical methods — linear regression, logistic regression, and a flexible curve-fitting method called restricted cubic spline analysis — the researchers found no significant association between TyG-BMI and kidney function outcomes. Whether kidney function was measured as a continuous number or as a category (normal vs. low, defined as eGFR below 60 mL/min/1.73m²), TyG-BMI did not independently predict kidney outcomes. Even the possibility of a curved (non-linear) relationship was tested and ruled out. This research suggests that while TyG-BMI has shown promise as a marker for cardiovascular risk, it does not appear to be a useful standalone predictor of kidney function decline in heart disease patients who have undergone PCI. This is notable because heart disease and kidney disease often occur together. The authors recommend that future research explore combined risk models that incorporate multiple factors, rather than relying on TyG-BMI alone, to better identify which heart disease patients are at risk for developing kidney problems.
Zhang X, Zhang Z, Yu X, Zhang X, Liu H, Le Y, et al.. (2026). Lack of association between Triglyceride glucose-body mass index and glomerular filtration rate in patients with coronary heart disease after percutaneous coronary intervention: a retrospective case-control study.. Frontiers in endocrinology. https://doi.org/10.3389/fendo.2026.1852416