Neurodevelopmental outcome at 1 year in offspring of women with gestational diabetes mellitus.

OBJECTIVE: To study the metabolic derangements in the second half of pregnancy caused by gestational diabetes mellitus(GDM), on the short term neurodevelopment of infants. DESIGN: A prospective cohort study of 555 mother-child pairs were recruited, which included 177 GDM patients and 378 pregnant women with normal glucose tolerance as controls. Clinical and demographic characteristics were obtained at enrollment, birth and follow-up. Neurodevelopment was examined with the Bayley Scales of Infant Development V.1 mental development index (MDI) and psychomotor development index (PDI). Fatty acids (FA) were analyzed by gas chromatography mass spectrometry (GC-MS). RESULTS: Statistically significant differences were found between the two groups in fasting plasma glucose (FPG) and triglyceride (TG). The scores of MDI and PDI of control group were higher than those of GDM group. The regression analysis showed that maternal age and saturated fatty acid (SFA) were independently associated with lower scores on the MDI whereas gestational age and docosahexaenoic acid (DHA) were associated with higher scores; in addition, lower scores on the PDI were associated with FPG and neonatal weigh associated with higher scores. CONCLUSION: SFA, DHA and FPG as indicators of lipid metabolism were associated with neurodevelopmental outcome at 1 year in offspring of women with gestational diabetes mellitus. Control the level of blood glucose and lipid during pregnancy and the appropriate supplementation of DHA during pregnancy in the second half of pregnancy may be beneficial to the neurodevelopment of infants.

Is gestational diabetes mellitus an independent risk factor for macrosomia: a meta-analysis?

PURPOSE: The aim of our meta-analysis was to explore whether gestational diabetes mellitus (GDM) is an independent risk factor for macrosomia or not. METHODS: Three databases were systematically reviewed and reference lists of relevant articles were checked. Meta-analysis of published epidemiological studies (cohort and case-control studies) comparing whether GDM was associated with macrosomia. Calculations of pooled estimates were conducted in random-effect models. Heterogeneity was tested by using Chi square test and I (2) statistics. Publication bias was estimated from Egger's test (linear regression method) and Begg's test (rank correlation method). RESULTS: Twelve studies met the inclusion criteria, including five cohort studies and seven case-control studies. The meta-analysis showed that GDM was associated with macrosomia independent of other risk factors. The adjusted odds ratio was 1.71, 95% CI (1.52, 1.94) in random-effect model, stratified analyses showed no differences regarding different study design, quality grade, definition of macrosomia, location of study and number of confounding factors adjusted for. There was no indication of a publication bias either from the result of Egger's test or Begg's test. CONCLUSION: Our findings indicate that GDM should be considered as an independent risk factor for newborn macrosomia. To adequately evaluate the clinical evolution of GDM need to be carefully assessed and monitored.