Key result
Model using FIB-4, HOMA, transaminases, and proteins predicts myocardial insulin resistance in T2D with 0.95 AUC.
Why the study?
Myocardial insulin resistance and insulin-sensitive phenotypes in type 2 diabetes could only be assessed using time-consuming and expensive methods, prompting the search for a simple and reliable surrogate.
Can a combination of liver tests and HOMA reliably identify myocardial insulin resistance in patients with type 2 diabetes?
Observational (n=47)
Can a combination of liver tests and HOMA reliably identify myocardial insulin resistance in patients with type 2 diabetes?
Answers are grounded in this paper and cite their sources.
A simple model using routine liver tests and HOMA can accurately identify myocardial insulin resistance in patients with type 2 diabetes, potentially aiding in cardiovascular risk stratification.
Background: We report that myocardial insulin resistance (mIR) occurs in around 60% of patients with type 2 diabetes (T2D) and was associated with higher cardiovascular risk in comparison with patients with insulin-sensitive myocardium (mIS). These two phenotypes (mIR vs. mIS) can only be assessed using time-consuming and expensive methods. The aim of the present study is to search a simple and reliable surrogate to identify both phenotypes. Methods: Forty-seven patients with T2D underwent myocardial [18F]FDG PET/CT at baseline and after a hyperinsulinemic–euglycemic clamp (HEC) to determine mIR were prospectively recruited. Biochemical assessments were performed before and after the HEC. Baseline hepatic steatosis index and index of hepatic fibrosis (FIB-4) were calculated. Furthermore, liver stiffness measurement was performed using transient elastography. Results: The best model to predict the presence of mIR was the combination of transaminases, protein levels, FIB-4 score and HOMA (AUC = 0.95; sensibility: 0.81; specificity: 0.95). We observed significantly higher levels of fibrosis in patients with mIR than in those with mIS (p = 0.034). In addition, we found that patients with mIR presented a reduced glucose uptake by the liver in comparison with patients with mIS. Conclusions: The combination of HOMA, protein, transaminases and FIB-4 is a simple and reliable tool for identifying mIR in patients with T2D. This information will be useful to improve the stratification of cardiovascular risk in T2D.
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Herance et al. (2022) conducted an observational in Type 2 diabetes (n=47). Combination of HOMA, protein, transaminases and FIB-4 was evaluated on Presence of myocardial insulin resistance (mIR) (AUC 0.95). A model combining transaminases, protein levels, FIB-4 score, and HOMA accurately predicted myocardial insulin resistance in patients with type 2 diabetes (AUC 0.95).
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