Literature DB >> 16837097

Maternal third trimester hyperglycaemic excursions predict large-for-gestational-age infants in type 1 diabetic pregnancy.

Lucrecia Herranz1, Luis F Pallardo, Natalia Hillman, Pilar Martin-Vaquero, Africa Villarroel, Alberto Fernandez.   

Abstract

OBJECTIVE: To determine which maternal glycaemic parameters in type 1 diabetes better predict large-for-gestational-age (LGA) infants.
METHODS: Maternal glycaemic parameters (mean overall, preprandial, and postprandial glucose; the percentage of glucose readings above and below target and HbA1c levels) of LGA (n=37) and appropriate-for-gestational-age (n=36) infants were compared during preconception and each trimester of pregnancy. Logistic regression was used to select predictive variables.
RESULTS: Preconception glycaemic parameters were not different. Mean glucose and the percentage of glucose readings above target were higher in mothers of LGA infants in every trimester of pregnancy. Second and third trimesters mean postprandial glucose, third trimester mean preprandial glucose and third trimester HbA1c were also higher. Only third trimester glycaemic variables were risk indicators of LGA infants: mean glucose (OR: 3.45; 95% CI: 1.52-7.80), mean preprandial glucose (OR: 2.97; 95% CI: 1.34-6.60), mean postprandial glucose (OR: 2.09; 95% CI: 1.19-3.67) and the percentage of glucose readings above target (OR: 1.08; 95% CI: 1.03-1.14). The percentage of glucose readings above target was the best risk indicator.
CONCLUSIONS: Third trimester glycaemic parameters are more powerful predictors of foetal growth than glycaemic parameters earlier in pregnancy or during preconception. Hyperglycaemic excursions are the strongest predictor of LGA infants.

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Year:  2006        PMID: 16837097     DOI: 10.1016/j.diabres.2006.05.019

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  12 in total

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3.  Glycemic variability in gestational diabetes mellitus and its association with β cell function.

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7.  Continuous glucose monitoring in pregnancy: we have the technology but not all the answers.

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Review 10.  Biomarkers for Macrosomia Prediction in Pregnancies Affected by Diabetes.

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