Obstetrics and gynecology最新文献

Objective: To evaluate the association between continuous glucose monitoring in pregnant people with type 2 diabetes and perinatal outcomes.

Methods: This was a retrospective cohort study of pregnant people with type 2 diabetes who received prenatal care and delivered singleton, nonanomalous neonates at a single academic tertiary care center from November 1, 2019, to February 28, 2023. The primary outcome was a composite of neonatal morbidity, including hypoglycemia, hyperbilirubinemia, shoulder dystocia, large for gestational age at birth, preterm birth, neonatal intensive care unit (NICU) admission, or perinatal death. Demographics and outcomes were compared by type of monitoring (continuous glucose monitoring vs intermittent self-monitoring of blood glucose), and multivariable logistic regression estimated the association between continuous glucose monitoring use and perinatal outcomes.

Results: Of 360 pregnant people who met the inclusion criteria, 82 (22.7%) used continuous glucose monitoring. The mean gestational age at continuous glucose monitoring initiation was 21.3±6.4 weeks. The use of continuous glucose monitoring was associated with lower odds of the primary composite neonatal morbidity (65.9% continuous glucose monitoring vs 77.0% self-monitoring of blood glucose, adjusted odds ratio [aOR] 0.48, 95% CI, 0.24-0.94). Continuous glucose monitoring use was also associated with lower odds of preterm birth (13.4% vs 25.2%, aOR 0.48, 95% CI, 0.25-0.93) and NICU admission (33.8% vs 47.6%, aOR 0.36, 95% CI, 0.16-0.81).

Conclusion: In pregnant people with type 2 diabetes, continuous glucose monitoring use was associated with less neonatal morbidity, fewer preterm births, and fewer NICU admissions.

Objective: To assess whether universal use of every-other-day glucose monitoring in patients with gestational diabetes mellitus (GDM) resulted in similar birth weights and medication use and was preferred by the patient compared with traditional daily glucose monitoring.

Methods: This was a noninferiority randomized controlled trial conducted at a single New York City hospital between April 2021 and May 2022. Patients with singleton pregnancies who were diagnosed with GDM after 20 weeks of gestation and had a minimum of 7 days of previous daily blood glucose testing were randomly assigned to test blood glucose values daily or every other day. The primary outcome was neonatal birth weight. We calculated a total sample size of 196 participants needed for noninferiority to be tested, assuming the mean birth weight in the every-other-day group, compared with the daily group, was no higher than the predefined noninferiority margin of 200 g (80% power and one-sided alpha of 0.05). Postrandomization characteristics, including blood glucose values and medication initiation and timing, were recorded. Satisfaction with treatment group was assessed using the validated Oxford Maternity Diabetes Treatment Satisfaction Questionnaire.

Results: A total of 197 patients were randomized: 98 in the daily group and 99 in the every-other-day group. Baseline characteristics were similar between groups. The mean neonatal birth weight was similar between groups (mean±SD 3,090±418 g among newborns in the daily group compared with 3,181±482 g among newborns in the every-other-day group). For the primary outcome, the every-other-day group was found to be noninferior to the daily group with an upper confidence limit for the mean difference in mean birth weight of 197 g, which was below the noninferiority margin of 200 g ( P =.046). Postrandomization, there were no significant differences in the number of patients who required medication, the gestational age at which medication was started, or the type of medication used. Average fasting and postprandial glucose values were similar between groups. There was an increase in adherence to treatment group in those randomized to every-other-day blood sugars, but no difference in patient satisfaction.

Conclusion: In patients with GDM, testing blood glucose values every other day was as effective as testing daily, without apparent effects on birth weight, medication initiation, or glucose control. Reduced frequency of blood glucose monitoring might help decrease the emotional, physical, and financial burden experienced by patients with GDM.

Clinical trial registration: ClinicalTrials.gov , NCT04857073.

Objective: To examine long-term diabetes risk after preterm delivery or hypertensive disorders of pregnancy in a large population-based cohort.

Methods: This retrospective cohort study included all women with a singleton delivery in Sweden during 1973-2015 and no preexisting diabetes mellitus. Participants were followed up for development of type 2 diabetes identified from nationwide outpatient and inpatient diagnoses through 2018. Cox regression was used to compute hazard ratios (HRs) for the association between preterm delivery or hypertensive disorders of pregnancy and type 2 diabetes with adjustment for gestational diabetes and other maternal factors. Co-sibling analyses assessed for confounding by shared familial (genetic or environmental) factors.

Results: Overall, 2,184,417 women were included. Within 10 years after delivery, adjusted HRs for type 2 diabetes associated with specific pregnancy outcomes were as follows: any preterm delivery (before 37 weeks of gestation), 1.96 (95% CI, 1.83-2.09); extremely preterm delivery (22-27 weeks), 2.53 (95% CI, 2.03-3.16); and hypertensive disorders of pregnancy, 1.52 (95% CI, 1.43-1.63). All HRs remained significantly elevated (1.1-1.7-fold) 30-46 years after delivery. These findings were largely unexplained by shared familial factors.

Conclusion: In this large national cohort, preterm delivery and hypertensive disorders of pregnancy were associated with increased risk for type 2 diabetes up to 46 years later. Women with these pregnancy complications are candidates for early preventive actions and long-term monitoring for type 2 diabetes.

Objective: To examine the presentation, management, and outcomes of pregnancies complicated by diabetic ketoacidosis (DKA) in a contemporary obstetric population.

Methods: This is a case series of all admissions for DKA during pregnancy at a single Midwestern academic medical center over a 10-year period. Diabetic ketoacidosis was defined per the following diagnostic criteria: anion gap more than 12 mEq/L, pH less than 7.30 or bicarbonate less than 15 mEq/L, and elevated serum or urine ketones. Demographic information, clinical characteristics, and maternal and neonatal outcomes were assessed. Patient characteristics and clinical outcomes were compared between individuals with type 1 and those with type 2 diabetes mellitus.

Results: Between 2012 and 2021, there were 129 admissions for DKA in 103 pregnancies in 97 individuals. Most individuals (n=75, 77.3%) admitted for DKA during pregnancy had type 1 diabetes. The majority of admissions occurred in the third trimester (median gestational age 29 3/7 weeks). The most common precipitating factors were vomiting or gastrointestinal illness (38.0%), infection (25.6%), and insulin nonadherence (20.9%). Median glucose on admission was 252 mg/dL (interquartile range 181-343 mg/dL), and 21 patients (17.6%) were admitted with euglycemic DKA. Fifteen admissions (11.6%) were to the intensive care unit. Pregnancy loss was diagnosed during admission in six individuals (6.3%, 95% CI, 2.3-13.7%). Among pregnant individuals with at least one admission for DKA, the median gestational age at delivery was 34 6/7 weeks (interquartile range 33 2/7-36 3/7 weeks). Most neonates (85.7%, 95% CI, 76.8-92.2%) were admitted to the neonatal intensive care unit and required treatment for hypoglycemia. The cesarean delivery rate was 71.9%. Despite similar hemoglobin A 1C values before pregnancy and at admission, individuals with type 1 diabetes had higher serum glucose (median [interquartile range], 256 mg/dL [181-353 mg/dL] vs 216 mg/dL [136-258 mg/dL], P =.04) and higher serum ketones (3.78 mg/dL [2.13-5.50 mg/dL] vs 2.56 mg/dL [0.81-4.69 mg/dL] mg/dL, P =.03) on admission compared with those with type 2 diabetes. Individuals with type 2 diabetes required intravenous insulin therapy for a longer duration (55 hours [29.5-91.5 hours] vs 27 hours [19-38 hours], P =.004) and were hospitalized longer (5 days [4-9 days] vs 4 days [3-6 days], P =.004).

Conclusion: Diabetic ketoacidosis occurred predominantly in pregnancies affected by type 1 diabetes. Individuals with type 1 diabetes presented with greater DKA severity but achieved clinical resolution more rapidly than those with type 2 diabetes. These results may provide a starting point for the development of interventions to decrease maternal and neonatal morbidity related to DKA in the modern obstetric population.

Objective: To investigate the association between maternal glycemic control and the risk of congenital malformations in offspring of women with type 1 diabetes and to examine whether there is a hemoglobin A 1C (Hb A 1C ) threshold value at which the risk for malformations increases significantly.

Methods: Analyses were performed on data from a multinational, observational cohort of 1,908 liveborn offspring of women with type 1 diabetes recruited in early pregnancy from 17 countries between 2013 and 2018. Offspring with malformations were identified according to European Surveillance of Congenital Anomalies version 1.4 and categorized as having one or more major malformations or minor malformations exclusively. The association between first-trimester Hb A 1C levels and the risk of congenital malformations was investigated with splines in crude and adjusted logistic regression models.

Results: In total, 11.9% of the offspring (n=227) of women with type 1 diabetes had congenital malformations, including 2.1% (n=40) with at least one severe malformation. Women giving birth to offspring with malformations had a higher prevalence of psychiatric disorders (13.2% vs 7.2%, P <.01), thyroid disorders (33.0% vs 26.7%, P <.05), and folic acid supplementation (87.1% vs 77.7%, P <.01). The Hb A 1C levels in the first trimester were similar (median 6.8% [interquartile range 6.3-7.6%] vs 6.7% [6.2-7.6%], P =.13) compared with women giving birth to offspring without malformations. The spline analysis illustrated a curvilinear association between Hb A 1C levels and the risk of malformations with no clear threshold values. Higher first-trimester Hb A 1C levels were associated with an increased risk of malformations (crude odds ratio [OR] 1.13, 95% CI, 1.01-1.27, adjusted odds ratio [aOR] 1.29, 95% CI, 1.10-1.51) and major malformations (crude OR 1.49, 95% CI, 1.23-1.81, aOR 1.57, 95% CI, 1.15-2.09).

Conclusion: An increased risk for congenital malformations was curvilinearly associated with higher Hb A 1C levels in early pregnancy among women with type 1 diabetes without any threshold values identified.

Clinical trial registration: ClinicalTrials.gov , NCT01892319.

Objective: To evaluate whether continuous glucose monitoring (CGM)-derived glycemic patterns observed throughout pregnancy were associated with adverse perinatal outcomes, specifically fetal growth disorders and hypertensive disorders of pregnancy (HDP).

Methods: We conducted a prospective observational study of individuals with viable singleton pregnancies and screening hemoglobin A 1c levels less than 6.5%. Those with preexisting diabetes were excluded. Enrollment occurred at the earliest gestational age before 17 weeks. Participants wore blinded continuous glucose monitors consecutively as willing until delivery. Those with at least 14 days of CGM data were included in analysis. Rates of large-for-gestational-age (LGA) neonates, small-for-gestational age (SGA) neonates, and HDP were assessed. Continuous glucose monitoring-derived glycemic metrics were calculated, including mean glucose level and percent time above and below thresholds. Two-sample t tests were used to compare glycemic metrics between participants with and without adverse perinatal outcomes.

Results: Of 937 participants enrolled, 760 met inclusion criteria. Those delivering LGA neonates or who were diagnosed with HDP had higher mean glucose levels (102±9 vs 100±8, P =.01 and 103±8 vs 99±8, P <.001) and spent more time above 120 mg/dL (median 16% vs 12%, P =.006, and 16% vs 12%, P <.001, respectively) and above 140 mg/dL (median 3.9% vs 2.8%, P =.006, and 3.5% vs 2.8%, P <.001, respectively) throughout gestation than those without these outcomes. These findings were present regardless of gestational diabetes mellitus status. Participants with SGA neonates had lower mean glucose levels (97±7 vs 101±8, P =.01) and spent less time above 140 mg/dL (median 1.6% vs 2.3%, P =.01) and more time below 63 mg/dL (median 3.0% vs 2.3%, P =.02) than those without SGA neonates.

Conclusion: Individuals with LGA neonates or HDP exhibit a slightly higher mean glucose levels and spend more time hyperglycemic in early pregnancy than those who do not experience these outcomes.

Continuous glucose monitoring (CGM) has the potential to revolutionize diabetes management during pregnancy by providing detailed and real-time data to patients and clinicians, overcoming many of the limitations of self-monitoring of blood glucose. Although there are limited data on the role of CGM to improve pregnancy outcomes in patients with type 2 diabetes or gestational diabetes, CGM has been shown to reduce pregnancy complications in patients with type 1 diabetes. Despite the limited data in some populations, given its ease of use and recent U.S. Food and Drug Administration approval with expanding insurance coverage, CGM has gained widespread popularity among pregnant patients with all types of diabetes. It is critical for obstetric clinicians to understand how CGM can be successfully integrated into clinical practice. We present a practical, step-wise approach to CGM data interpretation that can be incorporated into diabetes management during pregnancy and common CGM pitfalls and solutions. Although technology will continue to advance with newer-generation CGM devices and diabetes technology such as automated insulin delivery (not covered here), these key principles form a basic foundation for understanding CGM technology and its utility for pregnant people.