Outcomes of type 1 diabetes mellitus in pregnancy; effect of excessive gestational weight gain and hyperglycaemia on fetal growth

Association between inadequate weight gain according to the institute of medicine 2009 guidelines and pregnancy outcomes in women with thyroid disorders

PURPOSE

Gestational weight gain (GWG) is an important contributor to pregnancy outcomes in the general obstetric population and different subgroups. The corresponding information in women with thyroid conditions is limited. We aimed to evaluate the relationship between GWG according to institute of medicine (IOM) and pregnancy outcomes in women with thyroid disorders.

METHODS

We performed a retrospective analysis of 620 pregnant women either treated with levothyroxine (N = 545) or attended because of hyperthyroidism during pregnancy (N = 75).

RESULTS

The associations between GWG according to IOM and pregnancy outcomes were present both in women treated with thyroid hormone and women followed by hyperthyroidism, most of them related to the fetal outcomes. In women treated with levothyroxine, insufficient GWG was associated with gestational diabetes mellitus (GDM) (odds ratio (OR) 2.32, 95% confidence interval (CI) 1.18, 4.54), preterm birth (OR 2.31, 95% CI 1.22, 4.36), small-for-gestational age newborns (OR 2.38, 95% CI 1.09, 5.22) and respiratory distress (OR 6.89, 95% CI 1.46, 32.52). Excessive GWG was associated with cesarean delivery (OR 1.66, 95% CI 1.10, 2.51) and macrosomia (OR 2.75, 95% CI 1.38, 5.49). Large-for-gestational age newborns were associated with both insufficient GWG (OR 0.25, 95% CI 0.11, 0.58) and excessive GWG (OR 1.80, 95% CI 1.11, 2.92). In women followed by hyperthyroidism, excessive GWG was associated with large-for-gestational age newborns (OR 5.56, 95% CI 1.03, 29.96).

CONCLUSION

GWG according to IOM is associated with pregnancy outcomes both in women treated with thyroid hormone and women followed by hyperthyroidism.

Pre-existing Diabetes and Stillbirth or Perinatal Mortality: A Systematic Review and Meta-analysis

OBJECTIVE

Despite the well-recognized association between pre-existing diabetes mellitus and stillbirth or perinatal mortality, there remain knowledge gaps about the strength of association across different populations. The primary objective of this systematic review and meta-analysis was to quantify the association between pre-existing diabetes and stillbirth or perinatal mortality, and secondarily, to identify risk factors predictive of stillbirth or perinatal mortality among those with pre-existing diabetes.

DATA SOURCES

MEDLINE, EMBASE, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials from inception to April 2022.

METHODS OF STUDY SELECTION

Cohort studies and randomized controlled trials in English or French that examined the association between pre-existing diabetes and stillbirth or perinatal mortality (as defined by the original authors) or identified risk factors for stillbirth and perinatal mortality in individuals with pre-existing diabetes were included. Data extraction was performed independently and in duplicate with the use of prespecified inclusion and exclusion criteria. Assessment for heterogeneity and risk of bias was performed. Meta-analyses were completed with a random-effects model.

TABULATION, INTEGRATION, AND RESULTS

From 7,777 citations, 91 studies met the inclusion criteria. Pre-existing diabetes was associated with higher odds of stillbirth (37 studies; pooled odds ratio [OR] 3.74, 95% CI, 3.17-4.41, I2=82.5%) and perinatal mortality (14 studies; pooled OR 3.22, 95% CI, 2.54-4.07, I2=82.7%). Individuals with type 1 diabetes had lower odds of stillbirth (pooled OR 0.81, 95% CI, 0.68-0.95, I2=0%) and perinatal mortality (pooled OR 0.73, 95% CI, 0.61-0.87, I2=0%) compared with those with type 2 diabetes. Prenatal care and prepregnancy diabetes care were significantly associated with lower odds of stillbirth (OR 0.26, 95% CI, 0.11-0.62, I2=87.0%) and perinatal mortality (OR 0.41, 95% CI, 0.29-0.59, I2=0%).

CONCLUSION

Pre-existing diabetes confers a more than threefold increased odds of both stillbirth and perinatal mortality. Maternal type 2 diabetes was associated with a higher risk of stillbirth and perinatal mortality compared with maternal type 1 diabetes.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO, CRD42022303112.

A retrospective study comparing the results of continuous glucose monitoring to self-blood glucose monitoring for pregnant women with type 1 diabetes mellitus

BACKGROUND

Type 1 diabetes mellitus (T1DM) is associated with adverse maternal and fetal outcomes. Continuous glucose monitoring (CGM) during pregnancy is associated with better glycemic control in women with T1DM. However, no clear benefits have been demonstrated in reducing adverse feto-maternal outcomes in pregnant women with T1DM.

DESIGN AND METHODS

This is a retrospective, single-center study of pregnant women with T1DM to evaluate the impact of CGM use on glycemic control and feto-maternal outcomes in pregnant women with T1DM.

RESULTS

Of 265 women with T1DM, 92 (34.7%) used CGM, and 173 (65.3%) were managed with capillary blood glucose (CBG) monitoring. The mean (SD) age and BMI at the first visit were 29.4 (4.7) years and 27.2 (5.2) kg/m2, respectively. The mean (SD) HbA1c at the first-trimester visit was 63 (1) mmol/mol, and in the last trimester was 51 (1%). There was no difference in the mean changes in HbA1c between the two groups. Women using CGM had lower insulin requirements (1.02 + 0.37 vs. 0.87 + 0.04 units/kg, p = 0.01). The two groups had no significant differences in maternal or fetal outcomes.

CONCLUSION

CGM use in pregnant T1DM women is not associated with improved fetomaternal outcomes.

Recent Insights and Recommendations for Preventing Excessive Gestational Weight Gain

Recommendations for weight gain during pregnancy are based on pre-pregnancy body mass index (BMI). Pregnancy is a risk factor for excessive weight gain and many endocrine problems, making it difficult to return to pre-pregnancy weight and increasing the risk of postpartum obesity and, consequently, type 2 diabetes and metabolic syndrome. Both excessive gestational weight gain (EGWG) and obesity are associated with an increased risk of gestational hypertension, pre-eclampsia, gestational diabetes, cesarean section, shoulder dystocia, and neonatal macrosomia. In the long term, EGWG is associated with increased morbidity and mortality, particularly from diabetes, cardiovascular disorders, and some cancers. This study aims to present recommendations from various societies regarding weight gain during pregnancy, dietary guidance, and physical activity. In addition, we discuss the pathophysiology of this complication and the differential diagnosis in pregnant women with EGWG. According to our research, inadequate nutrition might contribute more significantly to the development of EGWG than insufficient physical activity levels in pregnant women. Telehealth systems seem to be a promising direction for future EGWG prevention by motivating women to exercise. Although the importance of adequate pre-pregnancy weight and weight gain during pregnancy is well known, an increasing number of women gain excessive weight during pregnancy.

Gestational weight gain in women with type 1 and type 2 diabetes mellitus is related to both general and diabetes-related clinical characteristics

PURPOSE

To assess predictors of gestational weight gain (GWG), according to the Institute of Medicine (IOM) 2009, in women with type 1 and type 2 diabetes.

METHODS

This was a retrospective cohort study conducted at a tertiary center. GWG based on the IOM was assessed both uncorrected and corrected for gestational age. General and diabetes-related clinical characteristics were analyzed as predictors.

RESULTS

We evaluated 633 pregnant women with type 1 and type 2 diabetes. GWG uncorrected for gestational age was inadequate (iGWG) in 20.4%, adequate in 37.1%, and excessive (eGWG) in 42.5% of the women. Predictors included general (height, prepregnancy body mass index category, and multiple pregnancy) and diabetes-related clinical characteristics. Neuropathy and follow-up length were associated with iGWG (odds ratio (OR) 3.00, 95% CI 1.22-7.37; OR 0.92, 95% CI 0.86-0.97, respectively), while pump use and third-trimester insulin dose were associated with eGWG (OR 1.68, 95% CI 1.07-2.66; OR 3.64, 95% CI 1.88-7.06, respectively). Independent predictors for corrected GWG and sensitivity analyses also included general and diabetes-related clinical characteristics.

CONCLUSION

In this cohort of women with type 1 and type 2 diabetes, non-adequate GWG was common, mainly due to eGWG, and associated clinical characteristics were both general and diabetes-related. Current clinical care of these women during pregnancy may favor weight gain.

Prevalence of Adverse Pregnancy Outcomes in Women With and Without Gestational Diabetes Mellitus in Al-Baha Region, Saudi Arabia

BACKGROUND

Gestational diabetes mellitus (GDM) is a condition characterized by glucose intolerance that develops during pregnancy. It is associated with adverse maternal and fetal outcomes and has long-term health implications for both the mother and the child. This study aimed to estimate the prevalence of adverse pregnancy outcomes in women with and without GDM in the Al-Baha region, Saudi Arabia.

METHODS

A cross-sectional study was conducted in the Al-Baha region from April 2023 to November 2023. The study included mothers residing in the Al-Baha region who were willing to participate and had access to a social media account. A simple random sampling technique was used, and the estimated sample size was 422. A self-administered electronic questionnaire was used to collect data on socio-demographic and lifestyle factors, as well as the pregnancy outcomes of diabetic and non-diabetic mothers. Descriptive and inferential statistical analyses were performed using IBM SPSS Statistics for Windows, Version 28.0 (Released 2012; IBM Corp., Armonk, New York, United States).

RESULTS

We included 422 women in the study with the majority of participants in the age group of 36-40 years(15.4%, n=74). Most participants (66.6%, n=321) had attained a university degree, and a significant proportion resided in Al-Baha City (52.3%, n=252). Maternal outcomes indicated a significant association between GDM and the development of eclampsia (OR = 8.296, 95%CI: 4.353-15.810, p < 0.001), as well as an increased risk of thyroid diseases (OR = 2.723, 95%CI: 1.428-5.193, p = 0.002). Fetal outcomes revealed a significant association between GDM and respiratory distress/lack of oxygen in newborns (OR = 2.032, 95%CI: 1.085-3.805, p = 0.024), and infants of GDM patients had a higher risk of hypoglycemia (OR = 8.099, 95%CI: 3.350-19.581, p < 0.001).

CONCLUSION

We found that GDM increased the risk of complications such as eclampsia, thyroid problems, and postpartum hemorrhage. GDM was also associated with shorter pregnancy durations, higher cesarean section rates, and an increased risk of developing type 2 diabetes post pregnancy. The study emphasized the importance of comprehensive GDM therapy and monitoring.

Influence of the DASH Diet on Gestational Weight Gain and Perinatal Outcomes in Women with Pre-Existing Diabetes Mellitus: A Randomized, Single-Blind, Controlled Clinical Trial

BACKGROUND

This study aimed to investigate the influence of the dietary approaches to stop hypertension (DASH) diet on gestational weight gain and perinatal outcomes in pregnant women with pre-existing diabetes mellitus (PDM).

METHODS

A randomized, single-blind, controlled clinical trial was conducted with 68 pregnant women with PDM throughout prenatal care until delivery (18 weeks) at a public maternity hospital in Rio de Janeiro, Brazil (2016-2020). The standard diet adopted by the control group (standard diet group-SDG) contained 45-55% carbohydrates, 15-20% protein, and 25-30% lipids of the total energy intake. An adapted DASH diet, with a similar macronutrient composition, but with higher calcium, potassium, magnesium, fiber, and reduced saturated fat, was prescribed for the intervention group (DASH diet group-DDG). Student's t- or Mann-Whitney U tests were used to compare outcomes between groups. To assess the trajectory of gestational weight gain throughout the intervention between the study groups, linear mixed-effects regression models were used.

RESULTS

The DDG had lower gestational weight gain at the fifth (p = 0.03) and seventh appointment (p = 0.04), with no difference in average total gestational weight gain (SDG: 10 kg [SD = 4]; DDG: 9 kg [SD = 5], p = 0.23). There was a trend for a lower length of stay of the newborns (p = 0.08) in the DDG without differences for other perinatal outcomes.

CONCLUSIONS

The DASH diet promoted less variation in gestational weight gain without promoting a difference in total gestational weight gain, and there was no difference between the study groups for perinatal outcomes.

Gestational weight gain and pregnancy outcomes in women with type 1 and type 2 diabetes mellitus

AIMS

We aimed to explore the relationship between gestational weight gain (GWG) after Institute of Medicine (IOM) and pregnancy outcomes in women with type 1 and type 2 diabetes.

METHODS

Retrospective cohort study at a tertiary medical center (1981-2011).

OUTCOME VARIABLES

2 maternal and 14 fetal. Main exposure variable: GWG according to IOM. We calculated crude and adjusted ORs as well as population attributable (PAF) and preventable fractions (PPF) for significant positive and negative associations, respectively.

RESULTS

We evaluated 633 pregnant women with type 1 or type 2 diabetes. GWG was insufficient (iGWG) in 16.7% and excessive (eGWG) in 50.7%. In the adjusted analysis, GWG according to IOM was significantly associated with maternal outcomes (pregnancy-induced hypertension and cesarean delivery) and four fetal outcomes (large-for-gestational age, macrosomia, small-for-gestational age and neonatal respiratory distress). The association with large-for-gestational age newborns was negative for iGWG (0.48, CI 95% 0.25-0.94) and positive for eGWG (1.76, CI 95% 1.18-2.63). In addition, iGWG was associated with a higher risk of small-for-gestational age newborns and respiratory distress and eGWG with a higher risk of pregnancy-induced hypertension, caesarean delivery and macrosomia. PAF and PPF ranged from the 20.4% PPF of iGWG for large-for-gestational age to 56.5% PAF of eGWG for macrosomia.

CONCLUSION

In this cohort of women with type 1 or type 2 diabetes, inadequate GWG after IOM was associated with adverse pregnancy outcomes; associations were unfavorable for eGWG and mixed for iGWG. The attributable fractions were not moderate, pointing to the potential impact of modifying inadequate GWG.

Glycemic Variability in Type 1 Diabetes Mellitus Pregnancies—Novel Parameters in Predicting Large-for-Gestational-Age Neonates: A Prospective Cohort Study

Pregnancies with type 1 diabetes mellitus (T1DM) have a high incidence of large-for-gestational-age neonates (LGA) despite optimal glycemic control. In recent years, glycemic variability (GV) has emerged as a possible risk factor for LGA, but the results of the conducted studies are unclear. This study analyzed the association between GV and LGA development in pregnancies with T1DM. This was a prospective cohort study of patients with T1DM who used continuous glucose monitoring (CGM) during pregnancy. Patients were followed from the first trimester to birth. GV parameters were calculated for every trimester using the EasyGV calculator. The main outcomes were LGA or no-LGA. Logistic regression analysis was used to assess the association between GV parameters and LGA. In total, 66 patients were included. The incidence of LGA was 36%. The analysis extracted several GV parameters that were significantly associated with the risk of LGA. The J-index was the only significant parameter in every trimester of pregnancy (odds ratios with confidence intervals were 1.33 (1.02, 1.73), 3.18 (1.12, 9.07), and 1.37 (1.03, 1.82), respectively. Increased GV is a risk factor for development of LGA. The J-index is a possible novel GV parameter that may be assessed in all three trimesters of pregnancy together with glycated hemoglobin and time-in-range.

Association Between HbA1c Levels on Adverse Pregnancy Outcomes During Pregnancy in Patients With Type 1 Diabetes

CONTEXT

Despite optimization of metabolic balance during pregnancy in type 1 diabetes (T1D), maternal-fetal complications remain higher than in the background population.

OBJECTIVE

We examined whether there is an association between glycated hemoglobin (HbA1c) levels and these complications.

METHODS

Retrospective study of pregnancies in 678 T1D subjects at Lille Hospital (1997-2019). The association between variations in HbA1c levels and complications was examined. The composite criterion (CC) was defined as having at least 1 of the following complications: prematurity, pre-eclampsia, large for gestational age (LGA), small for gestational age (SGA), or cesarean section.

RESULTS

Among the 678 births, median preconception HbA1c was 7.2% (55 mmol/mol), 361 were LGA (56%), 29 were SGA (4.5%), and 504 were births without preterm delivery (76.1%). The CC occurred in 81.8%. Higher HbA1c during the first trimester was associated with the CC (OR 1.04; 95% CI 1.02-1.06 per 0.1% increase; P < .001). Higher HbA1c during the third trimester was associated with the CC (OR 1.07; 95% CI 1.03-1.10 per 0.1% increase; P < .001). The group defined by a first trimester Hba1c >6.5% (48 mmol/mol) and a third trimester HbA1c <6% was associated with an increased rate of the CC (OR 2.81; 95% CI 1.01-7.86) and an increased rate of LGA (OR 2.20; 95% CI 1.01- 4.78).

CONCLUSION

Elevated HbA1c is associated with maternal-fetal complications. Despite optimization of metabolic balance during the third trimester, for patients with early glycemic imbalance the risk of LGA persists.

Third trimester HbA1c and the association with large-for-gestational-age neonates in women with gestational diabetes

Objective

To evaluate the association between HbA1c levels measured in the third trimester and the risk for large for gestational age (LGA) in neonates of mothers affected by gestational diabetes mellitus (GDM). Secondarily, we aimed to identify an ideal cut-off for increased risk of LGA amongst pregnant women with GDM.

Methods

Observational retrospective review of singleton pregnant women with GDM evaluated in a diabetes and pregnancy clinic of a tertiary and academic hospital. From January/2011 to December/2017, 1,085 pregnant women underwent evaluation due to GDM, of which 665 had an HbA1c test in the third trimester. A logistic regression model was performed to evaluate predictors of LGA. A receiver-operating-characteristic (ROC) curve was used to evaluate the predictive ability of third trimester HbA1c for LGA identification.

Results

A total of 1,085 singleton pregnant women were evaluated during the study period, with a mean age of 32.9 ± 5.3 years. In the multivariate analysis, OGTT at 0 minutes (OR: 1.040; CI 95% 1.006-1.076, p = 0.022) and third trimester HbA1c (OR: 4.680; CI 95% 1.210-18.107, p = 0.025) were associated with LGA newborns. Using a ROC curve to evaluate the predictive ability of third trimester HbA1c for LGA identification, the optimal HbA1c cut-off point was 5.4% where the sensitivity was 77.4% and the specificity was 71.7% (AUC 0.782; p < 0.001).

Conclusion

Few studies in the Mediterranean population have evaluated the role of HbA1c in predicting neonatal complications in women with GDM. A third trimester HbA1c > 5.4% was found to have good sensitivity and specificity for identifying the risk of LGA.

The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

BACKGROUND

Clinical data suggest that BMI and gestational weight gain (GWG) are strongly interconnected phenotypes; however, the genetic basis of the latter is rather unclear. Here we aim to find genes and genetic variants which influence BMI and/or GWG.

METHODS

We have genotyped 316 type 1 diabetics using Illumina Infinium Omni Express Exome-8 v1.4 arrays. The GIANT, ARIC and T2D-GENES summary statistics were used for TWAS (performed with PrediXcan) in adipose tissue. Next, the analysis of association of imputed expression with BMI in the general and diabetic cohorts (Analysis 1 and 2) or GWG (Analysis 3 and 4) was performed, followed by variant association analysis (1 Mb around identified loci) with the mentioned phenotypes.

RESULTS

In Analysis 1 we have found 175 BMI associated genes and 19 variants (p < 10-4) which influenced GWG, with the strongest association for rs11465293 in CCL24 (p = 3.18E-06). Analysis 2, with diabetes included in the model, led to discovery of 1812 BMI associated loci and 207 variants (p < 10-4) influencing GWG, with the strongest association for rs9690213 in PODXL (p = 9.86E-07). In Analysis 3, among 648 GWG associated loci, 2091 variants were associated with BMI (FDR < 0.05). In Analysis 4, 7 variants in GWG associated loci influenced BMI in the ARIC cohort.

CONCLUSIONS

Here, we have shown that loci influencing BMI might have an impact on GWG and GWG associated loci might influence BMI, both in the general and T1DM cohorts. The results suggest that both phenotypes are related to insulin signaling, glucose homeostasis, mitochondrial metabolism, ubiquitinoylation and inflammatory responses.

Comparative risks and predictors of preeclamptic pregnancy in the Eastern, Western and developing world

Preeclampsia (PE) is a complication of pregnancy characterized by hypertension (HTN-Preg), and often proteinuria. If not managed promptly, PE could lead to eclampsia and seizures. PE could also lead to intrauterine growth restriction (IUGR) and prematurity at birth. Although PE is a major cause of maternal and fetal morbidity and mortality, the underlying mechanisms are unclear. Also, there is a wide variability in the incidence of PE, ranging between 2 and 8% of pregnancies in the Eastern, Western and Developing world, suggesting regional differences in the risk factors and predictors of the pregnancy-related disorder. Several demographic, genetic, dietary and environmental factors, as well as maternal circulating biomarkers have been associated with PE. Demographic factors such as maternal race and ethnicity could play a role in PE. Specific genetic polymorphisms have been identified in PE. Maternal age, parity, education and socioeconomic status could be involved in PE. Dietary fat, protein, calcium and vitamins, body weight, and environmental factors including climate changes and air pollutants could also play a role in PE. Several circulating cytoactive factors including anti-angiogenic factors and cytokines have also been associated with PE. Traditional midwifery care is a common practice in local maternity care units, while advanced perinatal care and new diagnostic tools such as uterine artery Doppler velocimetry have been useful in predicting early PE in major medical centers. These PE risk factors, early predictors and diagnostic tools vary vastly in different regions of the Eastern, Western and Developing world. Further understanding of the differences in the demographic, genetic, dietary and environmental factors among pregnant women in different world regions should help in designing a region-specific cluster of risk factors and predictors of PE, and in turn provide better guidance for region-specific tools for early detection and management of PE.

"High prepregnancy HbA1c is challenging to improve and affects insulin requirements, gestational length, and birthweight"

BACKGROUND

The aim of this study was to explore how prepregnancy glycosylated hemoglobin (HbA1c) affects the course of HbA1c and insulin requirements during pregnancy, the gestational length, and birthweight.

METHODS

An observational cohort study was conducted consisting of 380 women with type 1 diabetes who gave birth 530 times from 2004 to 2014. The participants were divided into four groups according to prepregnancy HbA1c.

RESULTS

HbA1c was significantly different between the groups at all time intervals from week 5 to 10 to week 33 to 36 (P ≤ .01). In group 1, with the lowest prepregnancy HbA1c (<6.5% [48 mmol/mol]), HbA1c stayed at the same level throughout pregnancy. In the other groups (group 2: 6.5% [48 mmol/mol]-7.9% [63 mmol/mol], group 3: 8% [64 mmol/mol]-9.9% [86 mmol/mol], and group 4: > 10% [86 mmol/mol]) a decrease in HbA1c was seen in early pregnancy but stabilized from midpregnancy onward. Group 1 had the lowest daily insulin requirements throughout pregnancy among the four groups (P = .001). The relationship between birthweight and prepregnancy HbA1c was found to be inversely U-shaped. Mean gestational length in group 4 was significantly shorter than in group 1 (P = .001).

CONCLUSIONS

In this very large cohort, we found that a poor prepregnancy HbA1c is a predictor for poor glycemic control during pregnancy and that HbA1c decreases until midpregnancy and then plateaus. A very poor prepregnancy HbA1c is associated with shorter gestational length and lower birthweight, which is contrary to the common assumption that poor glycemic control leads to higher birthweight.

Adherence to clinical evaluations in women with pre-existing diabetes during pregnancy: A call to action from an Italian real-life investigation

AIMS

Women with pre-existing diabetes should plan for optimal care of the disease before, during and after pregnancy. The aim of this study was to assess the quality of diabetes mellitus monitoring and care before, during and after pregnancy in a large cohort of women.

METHODS

1913 diabetic women resident in the Lombardy Region (Italy) who experienced at least a birth between 2011 and 2015 and exhibited signs of diabetes ≥2 years before delivery were identified using the healthcare utilization database. Antidiabetic care was defined via outpatient examinations (i.e., assessments of glycated haemoglobin, lipid profile, urine albumin excretion and serum creatinine, and dilated eye exams) and use of antidiabetic drugs. Differences in adherence to recommendations before, during and after pregnancy were assessed by the non-parametric McNemar's test among the whole cohort and among the subgroup with type 1 diabetes.

RESULTS

Adherence to recommendations was very poor before pregnancy, ranging from 13% to 42% for dilated eye and serum creatinine exam, respectively. During pregnancy, a significant portion of women increased adherence to all recommendations (e.g., glycated haemoglobin from 20% to 47%, p-value < 0.001), with the exception of lipid profile control. After pregnancy, adherence dropped to pre-pregnancy levels. A similar trend was observed in the use of antidiabetic drugs. Although women with type 1 diabetes showed better adherence across all periods, the same patterns emerged.

CONCLUSIONS

Besides an improvement in the indicators of clinical adherence during pregnancy, the management of diabetes among pregnant women remains sub-optimal both before and after the birth.