Maternal glucose variability during pregnancy & birthweight percentile in women with pre-gestational diabetes.

INTRODUCTION: Pre-gestational diabetes mellitus (PGDM) is a major risk factor for fetal overgrowth. Interestingly, even in relatively well controlled PGDM women, as determined by average glucose indices such HbA1c, there is an increased rate of LGA (large for gestational age). Glucose variability (GV) has emerged as an important independent risk factor for several diabetes complications. The aim of this study was to determine the relationship between maternal GV indices and neonatal birth percentile. METHODS: This was a historical cohort study that included all consecutive PGDM women monitored in a single tertiary care center. Clinical and demographic variables, as well as data regarding glucose control, were prospectively recorded. Mean, standard deviation (SD) and coefficient of variance (CV) of glucose values were calculated. Pearson correlations coefficient was used to determine the correlation between glucose indices and birth percentile. The analysis was repeated after adjustment for several confounders. RESULTS: Mean birthweight and birthweight percentile were 3212 ± 532 g and 66.9%, respectively. There was a statistically significant correlation between birthweight percentile and maternal glucose SD (ß = 0.28, p = .002) and maternal glucose CV (ß = 0.21, p = .019). There was no significant correlation between birthweight percentile and mean glucose values. The association between the maternal glucose SD and birthweight percentile remained statistically significant after adjustment for maternal age, pre-pregnancy BMI and duration of diabetes. CONCLUSION: There is an association between maternal glucose variability indices (SD and CV) during pregnancy and neonatal birth percentile. Larger studies are needed to confirm these results.

Towards Implementation of the Saint Vincent Declaration: Outcomes of Women with Pregestational Diabetes.

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.