Gestational diabetes

Impact of gestational diabetes mellitus on maternal cardiac adaptation to pregnancy

OBJECTIVE

To determine whether maternal cardiac adaptation at term differs between women with, and those without, gestational diabetes mellitus (GDM).

METHODS

This was a prospective case-control study of pregnant women at term with or without GDM. For both cases and controls, only women without any comorbidity or form of pre-existing diabetes who had a singleton pregnancy without complication (such as pre-eclampsia or fetal growth restriction) were included. All women underwent conventional and speckle-tracking echocardiography to assess both the left- and right-heart geometry and function.

RESULTS

A total of 40 women with GDM and 40 healthy controls were enrolled. Women with GDM, compared with controls, had a significantly higher heart rate (83 ± 10 vs 75 ± 9 beats per min; P < 0.001), left ventricular (LV) relative wall thickness (0.43 ± 0.07 vs 0.37 ± 0.08; P < 0.001), LV early diastolic transmitral valve velocity (E) (0.80 ± 0.15 vs 0.73 ± 0.12 m/s; P = 0.026) and LV late diastolic transmitral valve velocity (A) (0.65 ± 0.13 vs 0.57 ± 0.11 m/s; P = 0.006). In women with GDM compared with controls, speckle-tracking analysis revealed a significant reduction in LV global longitudinal strain (GLS) (-16.29 ± 2.26 vs -17.61 ± 1.89; P = 0.012), LV endocardial GLS (-18.50 ± 2.59 vs -19.84 ± 2.35; P = 0.031) and LV epicardial GLS (-14.40 ± 2.01 vs -15.73 ± 1.66; P = 0.005). Right ventricular (RV) analysis revealed a reduced pulmonary acceleration time (58 ± 10 vs 66 ± 11 ms; P = 0.001) and RV E/A ratio (1.13 ± 0.18 vs 1.29 ± 0.35; P = 0.017), as well as a higher RV myocardial systolic annular velocity (0.16 ± 0.04 vs 0.14 ± 0.02; P = 0.023) and peak late diastolic transtricuspid valve velocity (0.46 ± 0.1 m/s vs 0.39 ± 0.08 m/s; P = 0.001), in women with GDM compared to controls.

CONCLUSIONS

Our findings show that even a short period of exposure to hyperglycemia, as occcurs in women with GDM, is associated with significant maternal functional cardiac impairment at term. Given these findings, further study of postnatal maternal cardiovascular recovery after GDM pregnancy is warranted. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.

Gestational diabetes mellitus, pre-pregnancy body mass index, and gestational weight gain as risk factors for increased fat mass in Brazilian newborns

BACKGROUND

Gestational diabetes mellitus (GDM) is a common complication of pregnancy. It may predispose offspring to increased fat mass (FM) and the development of obesity, however few data from Latin America exist.

OBJECTIVE

To investigate the influence of GDM on newborn FM in mother-newborn pairs recruited from a public maternity care center in São Paulo, Brazil.

METHODS

Data were collected cross-sectionally in 2013-2014 from 72 mothers diagnosed with GDM, and 211 mothers with normal glucose tolerance (NGT). Newborn FM was evaluated by air-displacement plethysmography (PEA POD), and relevant demographic and obstetric data were collected from hospital records. Associations between maternal GDM status and newborn FM were investigated by multiple linear regression analysis, with adjustment for maternal age, pre-pregnancy BMI, gestational weight gain, type of delivery, sex of the child, and gestational age.

RESULTS

FM was greater in GDM versus NGT newborns in a bivariable model (Median (IQR), GDM: 0.35 (0.3) kg vs. NGT: 0.27 (0.2) kg, p = 0.02), however GDM status was not a significant predictor of FM with adjustment for other variables. Rather, pre-pregnancy BMI (coefficient (β) 1.46; 95% confidence interval (CI) 0.66, 2.27), gestational weight gain (β 1.32; 95% CI 0.49, 2.15), and male sex (β -17.8; 95% CI -27.2, -8.29) predicted newborn FM. Analyzing GDM and NGT groups separately, pre-pregnancy BMI (β 6.75; 95% CI 2.36, 11.1) and gestational weight gain (β 5.64; 95% CI 1.16, 10.1) predicted FM in the GDM group, while male sex alone predicted FM in the NGT group (β -12.3; 95% CI -18.3, -6.34).

CONCLUSIONS

Combined model results suggest that in our cohort, pre-pregnancy BMI and gestational weight gain are more important risk factors for increased neonatal FM than GDM. However, group-specific model results suggest that GDM status may contribute to variation in the relationship between maternal/offspring factors and FM. Our use of a binary GDM variable in the combined model may have precluded clearer results on this point. Prospective cohort studies including data on maternal pre-pregnancy BMI, GWG, and glycemic profile are needed to better understand associations among these variables and their relative influence on offspring FM.