Zhongguo quanke yixue (Sep 2023)

Correlation between Estimated Glucose Disposal Rate and Metabolism-associated Fatty Liver Disease in Type 2 Diabetes

  • KONG Dexian, XING Yuling, SUN Wenwen, ZHANG Zhimin, ZHOU Fei, MA Huijuan

DOI
https://doi.org/10.12114/j.issn.1007-9572.2023.0103
Journal volume & issue
Vol. 26, no. 26
pp. 3252 – 3258

Abstract

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Background Metabolism-associated fatty liver disease (MAFLD) is considered as a major cause of increased morbidity and mortality from liver disease, type 2 diabetes mellitus (T2DM) is a driving factor in the progression of MAFLD. Estimated glucose processing rate (eGDR) is a simple evaluation indicator of insulin resistance in patients with T2DM, while its relationship with MAFLD has been rarely studied. Objective To investigate the correlation between eGDR and MAFLD in type 2 Diabetes and its predictive value. Methods A total of 1 434 patients with T2DM who were hospitalized in Hebei Provincial People's Hospital from 2019-01-01 to 2019-12-31 were selected as the study subjects. baseline data of the patients was collected, with their venous blood from the elbow collected for laboratory examination, and liver condition examined by abdominal ultrasound. According to the results of abdominal ultrasonography, T2DM patients were divided into MAFLD group (n=734) and non-MAFLD group (n=700). The subjects were divided into T1 group (eGDR≤5.09, n=477), T2 group (5.09<eGDR≤7.11, n=478) and T3 group (eGDR>7.11, n=479) according to the eGDR tertiles. Spearman rank correlation analysis was used to explore the correlation between eGDR and baseline data. Univariate and multivariate Logistic regression analysis was used to explore the influencing factors of combined MAFLD. The multiplicative interactions of eGDR with gender, age, hypertension, glycated hemoglobin A1c (HbA1c), BMI and glutamyl transferase (GGT) were evaluated. Receiver operating characteristic (ROC) curve was plotted to evaluate the predictive value of combined prediction model, FBG and HbA1c for MAFLD in T2DM and areas under curve (AUC) were calculated and compared by Delong test. Results Age, disease course, HDL-C and eGDR of MAFLD group were lower than non-MAFLD group. BMI, alcohol consumption, proportions of hypertension and smoking, fasting blood glucose (FBG), uric acid (UA), total cholesterol (TC), TG, low density lipoprotein cholesterol (LDL-C), alanine aminotransferase (ALT), aspartate aminotransferase (AST), GGT and ALB were higher than non-MAFLD group (P<0.05). The proportion of hypertension, age, BMI, FBG, HbA1c, Scr and TG in T3 group were lower than those in T1 and T2 groups, GGT was lower than that in T1 group, HDL-C and ALB were higher than those in T1 and T2 groups, the proportion of hypertension, BMI, FBG, HbA1c and TG in T2 group were lower than those in T1 group (P<0.05). eGDR was negatively correlated with age, FBG and ALB in patients with MAFLD (P<0.05). In patients without MAFLD, eGDR was negatively correlated with age, disease course, FBG, Scr, TG and ALB (P<0.05), and positively correlated with HDL-C, AST and GGT (P<0.05). Multivariate Logistic regression analysis showed that eGDR〔OR=0.814, 95%CI (0.772, 0.858), P<0.001〕, T1 group〔OR=1.310, 95%CI (1.003, 1.712), P=0.048〕and T2 group〔OR=2.554, 95%CI (1.941, 3.359), P<0.001〕 was an influencing factor of T2DM with MAFLD (P<0.05). BMI (Pinteraction<0.001), GGT (Pinteraction=0.033), hypertension (Pinteraction<0.001) had interaction with eGDR. The AUC of the combined prediction model was 0.743, which was greater than FBG (Z=3.227, P=0.001) and HbA1c (Z=1.877, P=0.061) . Conclusion The level of eGDR in T2DM patients with MAFLD is significantly lower than that in patients without MAFLD, and patients with low eGDR level have a higher risk of MAFLD. eGDR is a risk factor for MAFLD with T2MD. The combined prediction model of eGDR can be used as a predictor to evaluate the risk of MAFLD with T2MD.

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