Predictive Value of METS-IR, TYG Index, and TG/HDL Ratio in Atrial Fibrillation Following Coronary Artery Bypass

Background Non-insulin-based markers of insulin resistance such as METS-IR (insulin resistance metabolic score), TyG (triglyceride and glucose) Index, and TG/HDL (triglyceride to high-density lipoprotein) Ratio are associated to several risk factors linked with cardiovascular disease (CVD). However, based on available information, no investigation has specifically focused on the predictive ability of these three markers in the incidence of postoperative atrial fibrillation (PoAF). Therefore, the current study aimed to investigate the predictive impact of METS-IR, TyG Index, and TG/HDL Ratio in the incidence of atrial fibrillation after coronary artery bypass grafting (CABG). Methods In this retrospective study, patients who were treated with isolated CABG from September 2021 to September 2024 were included. Data before, during, and after surgery were recorded. Two groups were created based on the occurance of PoAF among patients. The data obtained for both groups were analyzed using the Chi-square test and logistic regression in SPSS version 24. Results Increased insulin resistance and metabolic syndrome indices were correlated with a higher risk of PoAF (The p-values for TyG, TG/HDL, and METS-IR were 0.02, < 0.001, and 0.005, respectively). Additionally, Female gender, high BMI, shorter height, increased cross-clamp time, higher systolic blood pressure and HbA1C levels were associated with a rise in the prevalence of PoAF. Conclusion Higher values of METS-IR and TG/HDL were connected to elevated prevalence of PoAF. In addition, the current model outperformed a random model, raising hope for utilization in clinical settings.