4.7 Article

AST-to-ALT ratio in the first trimester and the risk of gestational diabetes mellitus

期刊

FRONTIERS IN ENDOCRINOLOGY
卷 13, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fendo.2022.1017448

关键词

gestational diabetes mellitus; alanine transaminase; aspartate aminotransferase; nomogram; predictive value

资金

  1. National Natural Science Foundation of China
  2. Key Research and Development Program of Hunan Province
  3. [81773535]
  4. [81973137]
  5. [82173608]
  6. [2018SK2061]

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This study found that the early AST/ALT level of pregnant women is negatively correlated with the risk of gestational diabetes mellitus (GDM). A nomogram model including AST/ALT, maternal age, and other factors showed good predictive ability for the occurrence of GDM.
BackgroundAspartate aminotransferase-to-alanine transaminase ratio (AST/ALT) has been reported affect the risk of type 2 diabetes (T2DM), but it is uncertain if it has relationship with gestational diabetes mellitus (GDM). ObjectivesOur study aimed to investigate the association between AST/ALT ratio in the first trimester and the risk of subsequent development of GDM. MethodThis prospective cohort study enrolling 870 pregnant women, 204 pregnant women with missing data or liver diseases were excluded, 666 pregnant women were included in this study containing 94 GDM women. Blood samples were collected in the first trimester. Univariate analysis and multivariate logistic regression were used to evaluate the association between AST/ALT and GDM. Nomogram was established based on the results of multivariate logistic analysis. Receiver Operating Characteristic (ROC) curves and calibration curves were used to evaluate the predictive ability of this nomogram model for GDM. Decision curve analysis (DCA) was used to examine the clinical net benefit of predictive model. ResultsAST/ALT ratio (RR:0.228; 95% CI:0.107-0.488) was associated with lower risk of GDM after adjusting for confounding factors. Indicators used in nomogram including AST/ALT, maternal age, preBMI, waist circumference, glucose, triglycerides, high density lipoprotein cholesterol and parity. The area under the ROC curve (AUC) value of this predictive model was 0.778, 95% CI (0.724, 0.832). Calibration curves for GDM probabilities showed acceptable agreement between nomogram predictions and observations. The DCA curve demonstrated a good positive net benefit in the predictive model. ConclusionsThe early AST/ALT level of pregnant women negatively correlated with the risk of GDM. The nomogram including AST/ALT at early pregnancy shows good predictive ability for the occurrence of GDM.

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