Bethany M Mulla1,2, Nudrat Noor3, Tamarra James-Todd3,4, Elvira Isganaitis5,2, Tamara C Takoudes1,2, Ashley Curran5, Celestine E Warren5, Karen E O'Brien1,2, Florence M Brown5,2. 1. 1 Division of Maternal-Fetal Medicine, Beth Israel Deaconess Medical Center , Boston, Massachusetts. 2. 5 Harvard Medical School , Boston, Massachusetts. 3. 2 Department of Environmental Health, Harvard T.H. Chan School of Public Health , Boston, Massachusetts. 4. 3 Department of Epidemiology, Harvard T.H. Chan School of Public Health , Boston, Massachusetts. 5. 4 Joslin Diabetes Center , Boston, Massachusetts.
Abstract
BACKGROUND: To examine trimester-specific associations among glycemic variability, fetal growth, and birthweight in pregnancies with type 1 diabetes mellitus (Type 1 DM). METHODS: In this retrospective cohort study of 41 pregnant women with Type 1 DM, we used continuous glucose monitoring (CGM) data to calculate glycemic variability (coefficient of variation of glucose) over a 7-day interval in each trimester. Clinical data, including fetal biometry, birthweight, and perinatal complications, were extracted from medical records. RESULTS: Women maintained good glycemic control during pregnancy, with mean HbA1c in the first, second, and third trimester 6.5%, 6.1%, and 6.4%, respectively. Sixty-three percent of infants were large for gestational age (LGA). Estimated fetal weight percentile (EFW%ile) and abdominal circumference percentile (AC%ile) increased during pregnancy, consistent with accelerated prenatal growth. Correlations between trimester-specific glycemic variability and EFW, AC, and birthweight were not statistically significant. After maternal age adjustment, glycemic variability was not associated with birthweight for any trimester (adj. β for first trimester: -38.46, 95% CI: -98.58 to 21.66; adj. β for second trimester: -12.20, 95% CI: -51.47 to 27.06; adj. β for third trimester: -26.26, 95% CI: -79.52 to 27.00). CONCLUSIONS: The occurrence of LGA remains very high in contemporary U.S. women with Type 1 DM, despite the use of CGM and overall good glycemic control. Neither HbA1c nor glycemic variability predicted fetal overgrowth or birthweight. Since LGA is a key driver of maternal and newborn complications in pregnancies with Type 1 DM, our data emphasize the importance of investigating both glucose-dependent and glucose-independent underlying mechanisms.
BACKGROUND: To examine trimester-specific associations among glycemic variability, fetal growth, and birthweight in pregnancies with type 1 diabetes mellitus (Type 1 DM). METHODS: In this retrospective cohort study of 41 pregnant women with Type 1 DM, we used continuous glucose monitoring (CGM) data to calculate glycemic variability (coefficient of variation of glucose) over a 7-day interval in each trimester. Clinical data, including fetal biometry, birthweight, and perinatal complications, were extracted from medical records. RESULTS:Women maintained good glycemic control during pregnancy, with mean HbA1c in the first, second, and third trimester 6.5%, 6.1%, and 6.4%, respectively. Sixty-three percent of infants were large for gestational age (LGA). Estimated fetal weight percentile (EFW%ile) and abdominal circumference percentile (AC%ile) increased during pregnancy, consistent with accelerated prenatal growth. Correlations between trimester-specific glycemic variability and EFW, AC, and birthweight were not statistically significant. After maternal age adjustment, glycemic variability was not associated with birthweight for any trimester (adj. β for first trimester: -38.46, 95% CI: -98.58 to 21.66; adj. β for second trimester: -12.20, 95% CI: -51.47 to 27.06; adj. β for third trimester: -26.26, 95% CI: -79.52 to 27.00). CONCLUSIONS: The occurrence of LGA remains very high in contemporary U.S. women with Type 1 DM, despite the use of CGM and overall good glycemic control. Neither HbA1c nor glycemic variability predicted fetal overgrowth or birthweight. Since LGA is a key driver of maternal and newborn complications in pregnancies with Type 1 DM, our data emphasize the importance of investigating both glucose-dependent and glucose-independent underlying mechanisms.
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