[Application of TG/HDL-C Combined with Liver Function Indexes to Predict Metabolic-Associated Fatty Liver Disease].

Sichuan Da Xue Xue Bao Yi Xue Ban

Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.

Published: September 2022

AI Article Synopsis

  • The study investigates how triglycerides to high-density lipoprotein cholesterol ratio (TG/HDL-C) and liver function markers can help predict metabolic-associated fatty liver disease (MAFLD).
  • Analyzing data from nearly 3,000 MAFLD patients and 2,800 healthy individuals, researchers found that MAFLD patients had significantly higher TG/HDL-C levels, establishing it as an independent risk factor for the disease.
  • Combining TG/HDL-C with other liver function tests (ALT, AST, ALB) created a more accurate diagnostic model for MAFLD, showing a higher predictive ability compared to using TG/HDL-C alone.

Article Abstract

Objective: To study the application of triglycerides to high-density lipoprotein cholesterol ratio (TG/HDL-C) combined with liver function indexes to predict metabolic-associated fatty liver disease (MAFLD).

Methods: A total of 2971 outpatients diagnosed with MAFLD and 2794 healthy controls were enrolled, and their relevant data were collected. Two-sample Mann-Whitney test and binary logistic regression analysis were conducted to study the relationship between TG/HDL-C and MAFLD and to construct combined diagnosis models of MAFLD. The area under the curve () of receiver operating characteristic (ROC) was used to pick out the optimal model.

Results: The TG/HDL-C of MAFLD patients was significantly higher than that of healthy controls. In multivariate analysis, after adjusting for body mass index, systolic blood pressure, diastolic blood pressure, fasting blood glucose, triglycerides, high-density lipoprotein cholesterol, uric acid and creatinine, the odds ratio of TG/HDL-C was 2.356 (95% confidence interval []: 1.028-5.400). Therefore, TG/HDL-C was an independent risk factor for MAFLD. ROC curve analysis showed that the of using TG/HDL-C to predict MAFLD was 0.795 (95% : 0.784-0.807), and when the cut-off value was 1.09, the sensitivity was 0.679 and the specificity was 0.755. The of the diagnosis model established by a combined use of TG/HDL-C, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and albumin (ALB) was 0.890 (95% : 0.882-0.898), and when the cut-off value was 0.47, the sensitivity and specificity were 0.792 and 0.839, respectively.

Conclusion: TG/HDL-C is an independent risk factor for MAFLD. TG/HDL-C can well predict MAFLD when it is used in combination with ALT, AST, and ALB.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408803PMC
http://dx.doi.org/10.12182/20220960102DOI Listing

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