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עמוד בית
Sun, 24.11.24

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June 2024
Milana Gelman MD, Tzipora Galperin MD, Esther Maor-Sagie MD, Yochai Yoeli MD, Mordechai Hallak MD, Rinat Gabbay-Benziv MD, Amir Naeh MD

Background: The prevalence of pregestational diabetes mellitus (PGDM) in women of reproductive age has surged globally, contributing to increased rates of adverse pregnancy outcomes. Hemoglobin A1c (HbA1c) is a crucial marker for diagnosing and monitoring PGDM, with periconceptional levels influencing the risk of congenital anomalies and complications.

Objectives: To evaluate the association between periconceptional HbA1c levels and perinatal complications in pregnant women with poorly controlled PGDM.

Methods: We conducted a retrospective analysis of prospectively collected data of pregnancies between 2010 and 2019, HbA1c > 6% at 3 months prior to conception or during the first trimester. Outcomes of periconceptional HbA1c levels were compared.

Results: The cohort included 89 women: 49 with HbA1c 6–8%, 29 with HbA1c 8–10%, and 11 with HbA1c > 10%. Higher HbA1c levels were more prevalent in type 1 diabetics and were associated with increased end-organ damage risk. Women with elevated HbA1c levels tended toward unbalanced glucose levels during pregnancy. The cohort exhibited high rates of preterm delivery, hypertensive disorders, cesarean delivery, and neonatal intensive care unit admission. Overall live birth rate was 83%. While a significant correlation was found between HbA1c levels and preterm delivery, no consistent association was observed with other adverse outcomes.

Conclusions: Periconceptional glycemic control in PGDM pregnancies is important. Elevated HbA1c levels are associated with increased risks of adverse outcomes. Beyond a certain HbA1c level, risks of complications may not proportionally escalate.

January 2021
Natav Hendin BSc, Gabriel Levin MD, Abraham Tsur MD, Hadas Ilan MD, Amihai Rottenstreich MD, and Raanan Meyer MD

Background: The sonographic assessment of estimated fetal weight (EFW) is essential for identification of fetuses in weight extremes and aids in peripartum management. However, there are inconsistent reports regarding EFW accuracy.

Objective: To examine maternal and fetal determinants associated with unreliable EFW.

Methods: A retrospective case-control study was conducted at a single, tertiary medical center between 2011 and 2019. All term, singleton deliveries with a sonographic EFW within 2 weeks of delivery were included. Unreliable EFW was defined as > 500 grams discordance between it and the actual birth weight. We allocated the study cohort into two groups: unreliable EFW (cases) and accurate EFW (controls).

Results: Overall, 41,261 deliveries met inclusion criteria. Of these, 1721 (4.17%) had unreliable EFW. The factors positively associated with unreliable EFW included body mass index > 30 kg/m2, weight gain > 20 kg, higher amniotic fluid index, pregestational diabetes, gestational age > 410/7, and birth weight ≥ 4000 grams. On multiple regression analysis, pregestational diabetes (odds ratio [OR] 2.22, 95% confidence interval [95%CI] 1.56–3.17, P < 0.001) and a higher birth weight (OR 1.91, 95%CI 1.79–2.04, P < 0.001) were independently associated with unreliable EFW. On analysis of different weight categories, pregestational diabetes was associated with unreliable EFW only among birth weights ≥ 3500 grams (OR 3.28, 95%CI 1.98–5.44, P< 0.001) and ≥ 4000 grams (OR 4.27, 95%CI 2.31–7.90, P < 0.001).

Conclusion: Pregestational diabetes and increased birth weight are independent risk factors for unreliable EFW and should be considered when planning delivery management.

March 2020
Rakefet Yoeli-Ullman MD, Nimrod Dori-Dayan MD, Shali Mazaki-Tovi MD, Roni Zemet MD, Neomi Kedar, Ohad Cohen MD and Tali Cukierman-Yaffe MD

Background: Pregestational diabetes mellitus (PGDM) carries a significantly elevated risk of adverse maternal and fetal outcomes. There is evidence that certain interventions reduce the risk for adverse outcomes. Studies have shown that a multi-disciplinary approach improves pregnancy outcomes in women with PGDM.

Objectives: To determine pregnancy outcomes in women with PGDM using a multi-disciplinary approach.

Methods: We retrospectively reviewed consecutive women with pregestational type 1 and type 2 diabetes who were monitored at a high-risk pregnancy clinic at the Sheba Medical Center. Clinical data were obtained from the medical records. All data related to maternal glucose control and insulin pump function were prospectively recorded on Medtronic CareLink® pro software (Medtronic MiniMed, Northridge, CA).

Results: This study comprised 121 neonates from 116 pregnancies of 94 women. In 83% of the pregnancies continuous glucose monitoring (CGM) sensors were applied during a part or all of the pregnancy. Pregnancy outcomes among women who were followed by a multi-disciplinary team before and during pregnancy, and during labor and puerperium resulted in better glucose control (hemoglobin A1c 6.4% vs. 7.8%), lower risk for pregnancy induced hypertension/preeclampsia (7.7% vs. 15.6%), lower birth weight (3212 g vs. 3684 g), and lower rate of large size for gestational age and macrosomia (23.1% vs. 54.2% and 3.3% vs. 28.4%, respectively), compared to data from European cohorts.

Conclusions: The multi-disciplinary approach for treating women with PGDM practiced in the high-risk pregnancy clinic at the Sheba Medical Center resulted in lower rates of macrosomia, LGA, and pregnancy induced hypertension compared to rates reported in the literature.

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