Time trends in pregnancy-related outcomes among women with type 1 diabetes mellitus, 2004-2017

Preterm delivery and maternal obesity remain common complications in pregnancies with type 1 diabetes-A nationwide study in Sweden

AIM

A primary goal of obstetric care of women with type 1 diabetes (T1D) is to reduce the risks of preterm birth (PTB). Besides hyperglycaemia, maternal obesity is an important risk factor for PTB in T1D. However, it's unclear if public health efforts decreased risks of maternal obesity and PTB in pregnancies with T1D. We examined time-trends over the last 20 years in the distribution of gestational ages at birth (GA) in offspring of women with T1D in Sweden, and in maternal BMI in the same mothers.

METHODS

Population-based cohort study, using data from national registries in Sweden. To capture differences not only in the median values, we used quantile regression models to compare the whole distributions of GA's and early pregnancy BMI between deliveries in 1998-2007 (P1) and 2008-2016 (P2). Multivariable models were adjusted for differences in maternal age, smoking and education between periods 1 and 2.

RESULTS

The study included 7639 offspring of women with T1D between 1998 and 2016. The 10% percentile GA, increased with 0.09 days (95% CI: -0.11 to 0.35) between P1 and P2. The 90% percentile for BMI was 1.20 kg/m2 higher (95% CI: 0.57 to 1.83) in P2. Risks of PTB remained stable over time also when adjusting for maternal BMI.

CONCLUSION

Despite modern diabetes management, the distribution of GA, and consequently the risk of PTB in T1D, remained unchanged from 1998 to 2016. During the same time, maternal BMI increased, particularly in the already obese.

Effects of maternal type 1 diabetes and confounding factors on neonatal microbiomes

AIMS/HYPOTHESIS

Body niche-specific microbiota in maternal-neonatal dyads from gravidae with type 1 diabetes have not been quantitatively and functionally examined. Similarly, the impact of pregnancy-specific factors, such as the presence of comorbidities known to occur more frequently among gravidae with type 1 diabetes, including Caesarean delivery, as well as antibiotic prophylaxis, level of glycaemic control during each trimester of pregnancy and insulin administration, has not been adequately considered. The aims of this study were to characterise the maternal and neonatal microbiomes, assess aspects of microbiota transfer from the maternal microbiomes to the neonatal microbiome and explore the impact of type 1 diabetes and confounding factors on the microbiomes.

METHODS

In this observational case-control study, we characterised microbiome community composition and function using 16S rRNA amplicon sequencing in a total of 514 vaginal, rectal and ear-skin swabs and stool samples derived from 92 maternal-neonatal dyads (including 50 gravidae with type 1 diabetes) and in-depth clinical metadata from throughout pregnancy and delivery.

RESULTS

Type 1 diabetes-specific microbiota were identified among gravidae with type 1 diabetes and their neonates. Neonatal microbiome profiles of ear-skin swabs and stool samples were established, indicating the taxa more prevalent among neonates born to mothers with type 1 diabetes compared with neonates born to control mothers. Without taking into account the type 1 diabetes status of mothers, both delivery mode and intrapartum antibiotic prophylaxis were found to have an influence on neonatal microbiota composition (both p=0.001). In the logistic regression analysis involving all confounding variables, neonatal ear-skin microbiome variation was explained by maternal type 1 diabetes status (p=0.020) and small for gestational age birthweight (p=0.050). Moreover, in women with type 1 diabetes, a relationship was found between HbA1c levels >55 mmol/mol (>7.2%) measured in the first trimester of pregnancy and neonatal ear-skin microbiota composition (p=0.008). In the PICRUSt (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States) assessment, pathways concerning carbohydrate biosynthesis were predicted as key elements of the microbial functional profiles dysregulated in type 1 diabetes. Additionally, in SourceTracker analysis, we found that, on average, 81.0% of neonatal microbiota was attributed to maternal sources. An increase in the contribution of maternal rectum microbiota and decrease in the contribution of maternal cervix microbiota were found in ear-skin samples of vaginally delivered neonates of mothers with type 1 diabetes compared with neonates born to control mothers (83.2% vs 59.5% and 0.7% vs 5.2%, respectively).

CONCLUSIONS/INTERPRETATION

These findings indicate that, in addition to maternal type 1 diabetes, glycaemic dysregulation before/in the first trimester of pregnancy, mode of delivery and intrapartum antibiotic prophylaxis may contribute to the inoculation and formation of the neonatal microbiomes.

DATA AVAILABILITY

The BioProject (PRJNA961636) and associated SRA metadata are available at http://www.ncbi.nlm.nih.gov/bioproject/961636 . Processed data on probiotic supplementation and the PICRUSt analysis are available in the Mendeley Data Repository ( https://doi.org/10.17632/g68rwnnrfk.1 ).

Continuous glucose monitoring in pregnancies with type 1 diabetes: small increases in time-in-range improve maternal and perinatal outcomes

BACKGROUND

Continuous glucose monitors provide detailed information regarding glycemic control in pregnant patients with type 1 diabetes. Little data have been published examining the association between continuous glucose monitor parameters and perinatal outcomes among gravidas with type 1 diabetes using continuous glucose monitors.

OBJECTIVE

This study aimed to examine the association between perinatal outcomes and time-in-range as assessed by continuous glucose monitors used in pregnant individuals with type 1 diabetes. We hypothesized that higher time-in-range would be associated with lower risk of adverse perinatal outcomes.

STUDY DESIGN

This multicenter retrospective cohort study included all gravidas with type 1 diabetes using continuous glucose monitors who delivered from 2020 to 2022 at 5 University of California sites. Only those with continuous glucose monitor target range set to 70 to 140 mg/dL (±10 mg/dL) were included. Time-in-range (%) was recorded at 12, 16, 20, 24, 28, and 32 weeks. The primary maternal and neonatal outcomes were preeclampsia and large for gestational age, defined as birthweight ≥95th percentile. Kruskal-Wallis tests were used to compare median time-in-range between those with and without the primary outcomes. Log-binomial regression was used to obtain risk ratios, with adjustment for microvascular disease and years with type 1 diabetes.

RESULTS

A total of 91 patients were included. Most used an insulin pump (81%) and did not have diabetic microvascular disease (72%). Median time since diagnosis of type 1 diabetes was 16 years, and median periconception hemoglobin A1c was 6.7%. Compared with those with preeclampsia, normotensive gravidas had significantly higher time-in-range at nearly every time point. A similar pattern was observed for those with normal-birthweight infants compared with large-for-gestational-age infants. On adjusted analyses, every 5-unit increase in time-in-range at 12 weeks was associated with 45% and 46% reductions in the risks of preeclampsia and large for gestational age, respectively (preeclampsia: adjusted risk ratio, 0.55; 95% confidence interval, 0.30-0.99; large for gestational age: adjusted risk ratio, 0.54; 95% confidence interval, 0.29-0.99).

CONCLUSION

Higher time-in-range is associated with lower risk of preeclampsia and large for gestational age. This association is observed early in gestation, when each 5-unit increase in time-in-range is associated with ∼50% reduction in the risk of these complications. These findings can be used to counsel patients regarding the risk of pregnancy complications at specific time-in-range values, and to encourage patients that even small improvements in time-in-range can have significant impact on pregnancy outcomes. Larger studies are needed to further explore these findings and to identify optimal time-in-range to reduce perinatal complication rates.

Trends in maternal characteristics and perinatal outcomes among Japanese pregnant women with type 1 and type 2 diabetes from 1982 to 2020

Aims/Introduction

This study investigated the time trends of the maternal characteristics and perinatal outcomes of Japanese pregnant women with diabetes.

Materials and Methods

This retrospective study included 621 deliveries in 429 Japanese women with diabetes between 1982 and 2020. The association of the delivery date with clinical features was analyzed using the generalized estimating equations to adjust for the within‐person correlation.

Results

The mean age of delivery and the mean diabetes duration increased over time (both P < 0.001), while the prevalence of diabetic retinopathy decreased (P = 0.006). The mean HbA1c values during pregnancy decreased significantly over time (all P < 0.001). The decreasing trends were associated with preterm delivery (P = 0.021) but not with other perinatal outcomes. The time trends were significantly different between patients with type 1 diabetes mellitus and with type 2 diabetes mellitus in large for gestational age (LGA) and stillbirth (both P for interaction <0.05). The rate of LGA decreased among patients with type 2 diabetes (P = 0.003) but not those with type 1 diabetes (P = 0.413). In contrast, the prevalence of stillbirth was decreased among those with type 1 diabetes (P < 0.001) but not those with type 2 diabetes (P = 0.768). The proportion of major congenital anomalies did not change in the overall population (P = 0.259) and among patients with type 2 diabetes (P = 0.229), but it increased among those with type 1 diabetes (P = 0.044), although the difference between those with type 1 diabetes and type 2 diabetes was not statistically significant (P for interaction = 0.166).

Conclusions

Maternal glycemic control has improved over the decades, whereas the improvement of perinatal outcomes has been limited. Perinatal outcomes still need to be improved in Japanese women with diabetes.

Associations of insulin pump and continuous glucose monitoring use with pregnancy-related outcomes in women with type 1 diabetes

AIMS

To examine insulin pump and continuous glucose monitoring (CGM) use with pregnancy-related outcomes in women with type 1 diabetes.

METHODS

We abstracted medical records of 646 pregnancies in 478 women with type 1 diabetes, with information on insulin pump versus multiple daily injection (MDI) use and CGM use. We analyzed the associations of pump vs. MDI use, CGM use vs. non-use and pregnancy-related outcomes using mixed effect models.

RESULTS

Pump use was associated with lower HbA1c levels in the first [β (95% CI) = -0.33 (-0.51, -0.15) %] and second trimester [β (95% CI) = -0.13 (-0.24, -0.02) %], increased birth weight [β (95% CI) = 0.14 (0.02, 0.26) kg], birth weight percentile [β (95% CI) = 4.87 (0.49, 9.26) %], higher odds of large for gestational age [OR (95% CI) = 1.65 (1.06, 2.58)] and macrosomia [OR (95% CI) = 1.81 (1.03, 3.18)]. CGM use was associated with lower first [β (95% CI) = -0.38 (-0.64, -0.13) %] and third trimester [β (95% CI) = -0.17 (-0.33, -0.00) %] HbA1c levels.

CONCLUSIONS

Women with type 1 diabetes who used pump or CGM had better glycemic control during pregnancy; however, pump use was associated with higher birth weight measures.

Pregnancy outcomes and maternal characteristics in women with pregestational and gestational diabetes: a retrospective study on 206,917 singleton live births

AIMS

To examine risk of adverse pregnancy outcomes, mothers' characteristics and incidence rate over time of pregestational type 1 (T1D), type 2 (T2D) or gestational diabetes (GDM).

METHODS

The study included all singleton live births born from women aged 15-45 year, in Tuscany, Italy from 2010 to 2018. Pregnancy outcomes were retrieved by certificates of care at delivery compiled by midwives. Pregestational diabetes and GDM were identified by regional administrative databases. Time course of pregestational diabetes and GDM across last decade was assessed by Poisson analysis. Logistic regression analysis was used to calculate adjusted odds ratios (OR; 95% CI) for maternal characteristics or neonatal outcomes.

RESULTS

Among 206,917 singleton live births, GDM was diagnosed in 21,613 pregnancies (10.46%) and pregestational diabetes in 979, being T2D more prevalent than T1D (606; 0.29% vs. 373; 0.18%). Pregestational T2D incidence progressively decreased over last decade, T1D remained stable while GDM progressively rose. Pre-pregnancy obesity, preterm deliveries or cesarean sections were common characteristics of pregestational diabetes and GDM. Risk of neonatal distress and neonatal malformations was higher in pregestational T1D. Risk of prior spontaneous abortions was higher in GDM and in pregestational T2D (OR: 4.19; 3.30-5.33), mostly treated with metformin. Risk of neonatal macrosomia was increased only in pregestational diabetes.

CONCLUSIONS

In our population, pregestational T2D was more prevalent than T1D. Neonatal complications were mostly associated with pregestational T1D. Increased risk of previous spontaneous abortions was the hallmark of pregestational T2D. GDM, even if sharing adverse outcomes with pregestational T2D, was unrelated to rise in risk of neonatal macrosomia.

Time in Range in Pregnancy: Is There a Role?

Continuous glucose monitoring (CGM) is being used with increasing frequency as an adjunct to self-monitoring of blood glucose in pregnancy, and novel targets based on CGM data are becoming standardized. This adoption of CGM is the result of its improving accuracy, patient preference, and evolving data demonstrating associations of novel targets such as time in range (TIR) with pregnancy and neonatal outcomes. A greater understanding of the relationship of various CGM metrics to outcomes in pregnancy complicated by diabetes is needed. It is clear that TIR parameters need to be uniquely lower for pregnant women than for nonpregnant individuals. CGM technology is also an integral part of hybrid closed-loop insulin delivery systems. These insulin delivery systems will be a significant advance in the management of diabetes during pregnancy if they can achieve the pre- and postprandial targets required for pregnancy and optimize TIR.