| Literature link | GPT Summary | Evidence category | Disease type |
|---|---|---|---|
| 31925909 | This study aimed to investigate the association between blood urea nitrogen (BUN) levels in the first trimester of pregnancy and the risk of developing gestational diabetes mellitus (GDM). Conducted as a prospective multicenter cohort study, the analysis included 13,448 pregnant women with measured first-trimester BUN levels. Logistic regression was used to estimate the relationship between BUN and GDM risk, and the potential for BUN to improve discrimination and reclassification of GDM risk was assessed. The study found that 2,973 women (22.1%) developed GDM. Compared with women in the lowest quartile of BUN, those in the third and fourth quartiles had significantly higher risks of GDM, with adjusted odds ratios of 1.21 (95% CI: 1.07-1.37) and 1.50 (95% CI: 1.33-1.69), respectively (P for trend < 0.001). Adding BUN levels to conventional models improved GDM risk prediction, with a 0.2% increase in the C-statistic, and a net reclassification index of 14.67% (P < 0.001). The findings suggest that higher BUN concentrations in early pregnancy are associated with an increased risk of GDM, making BUN a potential predictor for the condition. | Risk factor | GDM |
| 36909340 | This study aimed to develop and evaluate a predictive nomogram for early assessment of gestational diabetes mellitus (GDM) risk factors during early pregnancy to assist with clinical management and intervention. A total of 824 pregnant women from Zhongnan Hospital of Wuhan University and the Maternal and Child Health Hospital of Hubei Province were enrolled in a retrospective observational study, forming the training dataset. Routine clinical and laboratory data were collected, and least absolute shrinkage and selection operator (LASSO) logistic regression and multivariate ROC risk analysis were used to identify significant predictors for the nomogram. Five key risk predictors were identified: age, blood urea nitrogen (BUN), fibrinogen-to-albumin ratio (FAR), blood urea nitrogen-to-creatinine ratio (BUN/Cr), and blood urea nitrogen-to-albumin ratio (BUN/ALB). The nomogram was evaluated using ROC curve, C-index, calibration curve, and decision curve analysis (DCA) with a validation dataset of 392 early pregnancy files. The results showed that the nomogram demonstrated optimal predictive power, and DCA indicated its clinical applicability. The study concluded that the established nomogram can help predict GDM and support early clinical management and intervention during pregnancy. | Risk factor | GDM |
| KEGG pathway |
|---|
| Nitrogen metabolism |
RF's name
Blood Urea Nitrogen
RF's type
Kidney function indicator