Background: Continuous glucose monitoring (CGM) could detect certain patterns of hyperglycemia at different times of the day that may help predict the development of maternal-fetal complications and the probability of needing pharmacological treatment. Methods: This study prospectively examined 77 women with gestational diabetes mellitus (GDM) who were placed on a CGM system for 6 days after diagnosis between 26 and 32 weeks of gestation. Patterns of hyperglycemia before meals (period of time of an hour just before meal) (>95 mg/dL), after meals (time interval of 2 h and half just after meal) (>140 mg/dL), and overnight (0–7 am) (>120 mg/dL) and their association with maternal-fetal complications and pharmacological treatment were analyzed. Receiver operating characteristic curves were developed to estimate the validity of the various patterns in detecting the need for pharmacological treatment. Results: A statistically significant relationship was observed between time in hyperglycemia after lunch and macrosomia ( P = 0.035) and large for gestational age infants ( P = 0.010). Pharmacological treatment was required for patients with time above range (TAR; P = 0.006) and those with hyperglycemia patterns before breakfast ( P < 0.001), after breakfast ( P = 0.006), before dinner ( P = 0.012), and overnight ( P = 0.001). Every additional percentage point of TAR was associated with a 24% increase in the probability of pharmacological treatment. Conclusions: The use of CGM for the diagnosis of GDM allows the identification of those patients who would benefit from closer monitoring during pregnancy, including self-monitoring of both pre- and postprandial blood glucose levels, facilitating the initiation of early pharmacological treatment.

Aims: To compare glycemic control and maternal–fetal outcomes of women with type 1 diabetes (T1D) using hybrid closed loop (HCL) vs. multiple daily insulin injections (MDI) plus continuous glucose monitoring (CGM). Methods: Multicenter prospective cohort study of pregnant women with T1D in Spain. We evaluated HbA1c and time spent within (TIR), below (TBR) and above (TAR) the pregnancy-specific glucose range 3.5–7.8 mmol/L. Adjusted models were performed for adverse pregnancy outcomes including baseline maternal characteristics and center. Results: 112 women were included (HCL n=59). Women in the HCL group had a longer duration of diabetes and higher rates of prepregnancy care. There were no between-group differences in HbA1c in any trimester. However, in the second trimester, MDI users had a greater decrease in HbA1c (-6.12±9.06 vs. -2.16 ±7.42 mmol/mol, p=0.031). No differences in TIR (3.5-7.8 mmol/L) and TAR were observed between HCL and MDI users, but with a higher total insulin dose in the second trimester (+0.13 IU/Kg/d). HCL therapy was associated with increased maternal weight gain during pregnancy (βadjusted 3.20 kg, 95%CI 0.90-5.50). Regarding neonatal outcomes, newborns of HCL users were more likely to have higher birthweight (βadjusted 279.0 g, 95% CI 39.5-518.5) and macrosomia (ORadjusted 3.18, 95% CI 1.05-9.67) compared to MDI users. These associations disappeared when maternal weight gain or third trimester HbA1c were included in the models. Conclusions: In a real-world setting, HCL users gained more weight during pregnancy and had larger newborns than MDI users, while achieving similar glycemic control in terms of HbA1c and TIR.

Objective: To compare maternal glucose metrics and pregnancy outcomes of three advanced hybrid closed-loop (aHCL) systems (MiniMed 780G®, CamAPS® FX, and Tandem Control-IQ) in a real-world, multicenter cohort of pregnant women with type 1 diabetes. Research Design and Methods: Cohort study including 137 pregnant women with type 1 diabetes using aHCL from 27 hospitals in Spain. Participants were grouped according to the aHCL system used: 85 MiniMed 780G (62%), 38 CamAPS FX (27.7%), and 14 Control-IQ (10.2%). Maternal glucose metrics (HbA1c and time spent within [TIRp], below [TBRp], and above [TARp] the pregnancy-specific glucose range 3.5–7.8 mmol/L), as well as pregnancy outcomes, were analyzed. Adjusted models were applied to account for potential confounding factors. Results: No between-group differences in HbA1c levels were observed at baseline. By the third trimester, CamAPS FX and Control-IQ users had significantly lower HbA1c levels compared with the MiniMed 780G group (β _adjusted –4.77 mmol/mol, 95% confidence interval [CI] –7.40 to –2.13; and β _adjusted –4.79, 95% CI –8.53 to –1.06; respectively). In the second trimester, CamAPS FX was associated with a higher percentage of time in range (β _adjusted +5.88%, 95% CI 1.09 to 10.67) and a lower percentage of time above range (β _adjusted –6.36%, 95% CI –11.46 to –1.26) compared with MiniMed 780G, with no other significant differences observed in other trimesters. Both CamAPS FX and Control-IQ were associated with lower odds of large-for-gestational-age (LGA) infants (CamAPS FX: OR _adjusted 0.25, 95% CI 0.08 to 0.77; Control-IQ: OR _adjusted 0.10, 95% CI 0.01 to 0.99) compared with MiniMed 780G. Conclusions: In this multicenter observational study, CamAPS FX and Control-IQ users achieved better glycemic metrics and lower odds of delivering LGA infants compared with those using MiniMed 780G. These findings warrant investigation to confirm associations and inform individualized clinical decision-making in pregnant women with type 1 diabetes.