Table 1_Association between triglyceride-glucose index and 6-month readmission in patients with heart failure: a cohort study.pdf

Background<p>Insulin resistance (IR) significantly impacts outcomes in heart failure (HF) patients, by the triglyceride-glucose (TyG) index serving as an effective marker of metabolic dysfunction. However, its association with HF readmission risk is still uncertain.</p>Methods<p>Th...

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Main Author: Huibo Li (459153) (author)
Other Authors: Yujie Jiang (2991267) (author), Dong Zheng (102852) (author), Guixiong Lin (21803597) (author), Yanling Feng (294987) (author), Yufeng Zhuo (21803600) (author), Peng Zhang (2071) (author)
Published: 2025
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Summary:Background<p>Insulin resistance (IR) significantly impacts outcomes in heart failure (HF) patients, by the triglyceride-glucose (TyG) index serving as an effective marker of metabolic dysfunction. However, its association with HF readmission risk is still uncertain.</p>Methods<p>This study analyzed 901 HF patients using multivariable logistic regression and restricted cubic splines to evaluate the relationship between the TyG index and 6-month readmission risk.</p>Results<p>Patients in the lowest TyG quartile (Q1) had a significantly higher risk of 6-month readmission across models: Model 1 [odds ratio (OR) 1.72, 95% confidence interval [(CI) 1.16–2.53; p = 0.007], Model 2 (OR 1.83, 95% CI 1.23–2.72; p = 0.003), and Model 3 (OR 1.71, 95% CI 1.12–2.61; p = 0.012). A nonlinear relationship between the TyG index and the 6-month readmission risk was observed (p for nonlinearity = 0.046). Furthermore, significant interactions were detected between the TyG index and body mass index (BMI) subgroups (p for interaction = 0.002). Including the TyG index modestly improved predictive performance, particularly in abnormal BMI patients.</p>Conclusion<p>A nonlinear relationship between the TyG index and 6-month readmission risk in HF patients. Subgroup analyses revealed that a lower TyG index was significantly connected to a higher readmission risk, especially in patients with abnormal BMI. Although the TyG index improved predictive performance, its overall discriminative ability remained modest, demonstrating greater utility in populations with abnormal BMI.</p>