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Yanfen MA, Sasa LIU, Jian HU, Depei CAI, Yongfeng QIAO, Xiaoqin WANG. Analysis of the Predictive Effects of Lipid Metabolism and Liver Function Indicators on Prediabetes[J]. Journal of Kunming Medical University.
Citation: Yanfen MA, Sasa LIU, Jian HU, Depei CAI, Yongfeng QIAO, Xiaoqin WANG. Analysis of the Predictive Effects of Lipid Metabolism and Liver Function Indicators on Prediabetes[J]. Journal of Kunming Medical University.

Analysis of the Predictive Effects of Lipid Metabolism and Liver Function Indicators on Prediabetes

  • Received Date: 2024-07-08
    Available Online: 2024-11-21
  •   Objective  To study the relationship between lipid metabolism and liver function indexes in prediabetic population, and explore the predictive value of these indexes for prediabetes.   Methods  546 patients with prediabetes who underwent physical examination in the First Affiliated Hospital of Xi'an Jiaotong University from April 2020 to August 2021 were selected as case group (PreDM group) and 546 patients with normal glucose tolerance as control group (NGT group). There was no significant difference in baseline data between the two groups after tendency matching score. The levels of lipid metabolism and liver function indicators are compared between the two groups; the correlation between lipid metabolism and liver function indicators in the PreDM group is analyzed; the influencing factors of prediabetes are screened by using binary logistic regression analysis; the predictive effect of lipid metabolism and liver function indicators on prediabetes is judged by using the ROC curve.   Results  Glutamic pyruvic transaminase (ALT), glutamic pyruvic transaminase/glutamic oxaloacetic transaminase ratio (ALT/AST), cholinesterase (CHE), gamma glutamyltransferase (GGT), total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), total cholesterol/high density lipoprotein cholesterol ratio (TC/HDL-C) and triglyceride/high density lipoprotein cholesterol ratio (TG/HDL-C) in PreDM group were higher than those in NGT group (all P < 0.05). Spearman correlation analysis showed that TG/HDL-C in PreDM group had the highest positive correlation with ALT, ALT/AST, CHE and GGT (r = 0.256, 0.256, 0.293, 0.122, all P < 0.05). Multivariate stepwise logistic regression analysis showed that ALT/AST, GGT, TC/HDL-C and TG/HDL-C had the greatest effect on prediabetes (OR=2.124, 1.027, 1.196, 1.260), and the combination of the four had the highest differential diagnostic value (AUC > 0.70).   Conclusion  There are more abnormal indexes of blood lipid and liver zymogram in prediabetic population, and the combination of ALT/AST, GGT, TC/HDL-C and TG/ HDL-C is more effective in predicting prediabetes.
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