Why the study?
METS-IR is a reliable marker for insulin resistance and cardiovascular events, but few studies have evaluated its relationship with prognosis after CABG.
Does a higher metabolic score for insulin resistance (METS-IR) predict major adverse cardiovascular events in patients after coronary artery bypass surgery?
Does a higher metabolic score for insulin resistance (METS-IR) predict major adverse cardiovascular events in patients after coronary artery bypass surgery?
An elevated metabolic score for insulin resistance (METS-IR) is an independent predictor of major adverse cardiovascular events in patients following coronary artery bypass graft surgery.
Background: The metabolic score for insulin resistance (METS-IR) is a simple, convenient, and reliable marker for resistance insulin (IR), which has been regarded as a predictor of cardiovascular disease (CVD) and cardiovascular events. However, few studies examined the relationship between METS-IR and prognosis after coronary artery bypass graft (CABG). This study aimed to investigate the potential value of METS-IR as a prognostic indicator for the major adverse cardiovascular events (MACE) in patients after CABG. Method: 1100 patients who had CABG were enrolled in the study, including 760 men (69.1%) and 340 women (30.9%). The METS-IR was calculated as Ln [(2×FPG (mg/dL) +fasting TG (mg/dL)] ×BMI (kg/m 2 )/Ln [HDL-C (mg/dL)]. The primary endpoint of this study was the occurrence of major adverse cardiovascular events (MACE), including a composite of all-cause death, non-fatal myocardial infarction (MI), coronary artery revascularization, and stroke. Result: During the follow-up period, there were a total of 243 MACEs (22.1%).The probability of cumulative incidence of MACE increased incrementally across the quartiles of METS-IR (log-rank test, p ＜0.001). Multivariate cox regression analysis demonstrated a hazard ratio (95% CI) of 1.97 (1.36-2.86) for MACE in quartile 4 compared with participants in quartile 1. The addition of the METS-IR to the model with fully adjusting variables significantly improved its predictive value [C-statistic increased from 0.702 to 0.720, p＜0.001, continuous net reclassification improvement (NRI) = 0.305, ＜0.001，integrated discrimination improvement (IDI)=0.021, p＜0.001]. Conclusion: METS-IR is an independent and favorable risk factor for predicting the occurrence of MACE and can be used as a simple and reliable indicator that can be used for risk stratification and early intervention in patients after CABG.
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Zhang et al. (2023) studied this question.
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