A retrospective cohort study at a single center examined 354 nulliparous women of advanced maternal age (≥35 years), including 140 who developed gestational diabetes mellitus (GDM) and 214 who did not. The study aimed to identify early-pregnancy biomarkers for GDM risk stratification between 10–13 weeks' gestation. The specific intervention or exposure was not reported, and the comparator was a non-GDM group.
Several factors were independently associated with an increased risk of GDM. Urinary glucose positivity had the strongest association (adjusted odds ratio [aOR] = 7.91, 95% CI: 2.67–23.46). For each 1 mmol/L increase in fasting blood glucose, the aOR was 2.23 (95% CI: 1.13–4.38). For each 10^9/L increase in neutrophil count (NEU), the aOR was 1.21 (95% CI: 1.05–1.40), and for each 10^9/L increase in white blood cell count (WBC), the aOR was 1.15 (95% CI: 1.01–1.30). Assisted reproductive technology (ART) use was also associated with increased risk (aOR = 1.63, 95% CI: 1.02–2.59).
A prediction model incorporating these factors demonstrated an area under the curve (AUC) of 0.70 (95% CI: 0.65–0.76). At the optimal cutoff, the model had a sensitivity of 57.1% and a specificity of 76.2%. Safety and tolerability data were not reported. Key limitations include the retrospective design, single-center setting, and the need for prospective validation in larger, multicenter cohorts. Funding and conflicts of interest were not reported.
Practice relevance is restrained. The findings suggest a tiered screening strategy incorporating these readily available biomarkers might be explored for early risk stratification. However, this is a hypothesis generated from observational data; the clinical utility and generalizability of the model require prospective validation before it can be considered for implementation.
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BackgroundGestational diabetes mellitus (GDM) poses significant risks, particularly for nulliparous women of advanced maternal age (AMA ≥35 years), a growing demographic due to delayed childbirth. However, effective early-pregnancy prediction tools tailored for this high-risk subgroup are lacking. This study aimed to identify readily available early biomarkers for GDM risk stratification in AMA nulliparous women.MethodsThis retrospective cohort study analyzed 354 AMA nulliparous women (140 GDM, 214 non-GDM). GDM was diagnosed by a 75g oral glucose tolerance test at 24–28 weeks using IADPSG criteria (fasting ≥5.1 mmol/L, 1-h ≥10.0 mmol/L, 2-h ≥8.5 mmol/L). Clinical and laboratory data at 10–13 gestational weeks were compared. Multivariate logistic regression identified independent risk factors.ResultsThe GDM group had significantly higher body mass index (BMI), fasting blood glucose (FBG), white blood cell (WBC) count, neutrophil count (NEU), and urinary glucose (U-GLU) positivity (P< 0.05). Assisted reproductive technology (ART) use did not differ significantly in univariate analysis (P = 0.083). Multivariable analysis identified U-GLU positivity (adjusted odds ratio [aOR] = 7.91; 95% CI: 2.67-23.46), elevated FBG (aOR = 2.23 per mmol/L; 95% CI: 1.13-4.38), elevated NEU (aOR = 1.21 per 109/L; 95% CI: 1.05-1.40), elevated WBC (aOR = 1.15 per 109/L; 95% CI: 1.01-1.30), and ART use (aOR = 1.63; 95% CI: 1.02-2.59) as independent risk factors for GDM. The multivariable model achieved an AUC of 0.70 (95% CI 0.65 - 0.76), with sensitivity of 57.1% and specificity of 76.2% at the optimal cutoff.ConclusionsIn this single-center retrospective cohort of AMA nulliparous women, early-pregnancy urinary glucose positivity, elevated fasting blood glucose, neutrophilia, leukocytosis, and the use of assisted reproductive technology were independently associated with an increased risk of GDM, with urinary glucose showing the strongest association. These findings suggest that a tiered screening strategy incorporating these readily available biomarkers might be explored for early risk stratification between 10–13 weeks’ gestation. Their clinical utility requires prospective validation in larger, multicenter cohorts.