open access

Vol 87, No 9 (2016)
Research paper
Published online: 2016-09-30
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Components of metabolic syndrome in the first trimester of pregnancy as predictors of adverse perinatal outcome

Michał Migda, Marian S. Migda, Bartosz Migda, Patrycja Krzyżanowska, Ewa Wender-Ożegowska
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Pubmed: 27723072
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Ginekol Pol 2016;87(9):644-650.

open access

Vol 87, No 9 (2016)
ORIGINAL PAPERS Obstetrics
Published online: 2016-09-30

Abstract

Objectives: It is the prospective observational study aimed at early prediction of pregnancy complications in women with symptoms of MS.

Material and methods: 124 Caucasian women in singleton pregnancies 11th to the 13th wks 6 days of gestation with MS criteria compared to 30 healthy controls. Perinatal maternal and fetal results were analyzed.

Results: Increased in the MS group were: age (32.9 y vs. 28.6 y; p = 0,00), weight 11 to 13 + 6 weeks of gestation (79.0 kg vs. 59.7 kg; p = 0.00), BMI (29 kg/m2 vs. 21.6 kg/m2; p = 0.00), waist–hip ratio (WHR) (0.9 vs. 0.8; p = 0.00). Maternal serum parameters were higher in the MS group: LDL-cholesterol (124.1 vs. 109.6 mg/dL; p = 0.02), t-PA (2556.8 vs. 1949.5 pg/mL; p < 0.00), GGTP (16.8 vs. 13.3 IU/L; p = 0.02) and lower values for: adiponectin (6.4 vs. 7.5 μg/mL; p = 0.01), SHBG (273.4 vs. 338.4 nmol/L; p = 0.001). MS group neonates higher body weight (3594.4 vs. 3312.2 g; p = 0.01), significantly frequent macrosomic neo­nates (> 4000 g) (20.9% vs. 6.6%; p = 0.042), GDM (12% vs. 0; p = 0.019).

Conclusions: Higher E-selectin serum concentration, GGTP and lower SHBG in first trimester are additionally to fasting maternal glucose, higher BMI and maternal age predictive for GDM. Higher E-selectin, fasting glucose, increased BMI and lower adiponectin serum concentration in first trimester are significant predictors of fetal macrosomia. Maternal BMI > 24.5 kg/m2 is the best predictor of increased risk of fetal macrosomia and gestational diabetes mellitus.

Abstract

Objectives: It is the prospective observational study aimed at early prediction of pregnancy complications in women with symptoms of MS.

Material and methods: 124 Caucasian women in singleton pregnancies 11th to the 13th wks 6 days of gestation with MS criteria compared to 30 healthy controls. Perinatal maternal and fetal results were analyzed.

Results: Increased in the MS group were: age (32.9 y vs. 28.6 y; p = 0,00), weight 11 to 13 + 6 weeks of gestation (79.0 kg vs. 59.7 kg; p = 0.00), BMI (29 kg/m2 vs. 21.6 kg/m2; p = 0.00), waist–hip ratio (WHR) (0.9 vs. 0.8; p = 0.00). Maternal serum parameters were higher in the MS group: LDL-cholesterol (124.1 vs. 109.6 mg/dL; p = 0.02), t-PA (2556.8 vs. 1949.5 pg/mL; p < 0.00), GGTP (16.8 vs. 13.3 IU/L; p = 0.02) and lower values for: adiponectin (6.4 vs. 7.5 μg/mL; p = 0.01), SHBG (273.4 vs. 338.4 nmol/L; p = 0.001). MS group neonates higher body weight (3594.4 vs. 3312.2 g; p = 0.01), significantly frequent macrosomic neo­nates (> 4000 g) (20.9% vs. 6.6%; p = 0.042), GDM (12% vs. 0; p = 0.019).

Conclusions: Higher E-selectin serum concentration, GGTP and lower SHBG in first trimester are additionally to fasting maternal glucose, higher BMI and maternal age predictive for GDM. Higher E-selectin, fasting glucose, increased BMI and lower adiponectin serum concentration in first trimester are significant predictors of fetal macrosomia. Maternal BMI > 24.5 kg/m2 is the best predictor of increased risk of fetal macrosomia and gestational diabetes mellitus.

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Keywords

metabolic syndrome, adiponectin, gestational diabetes mellitus, macrosomy, E-selectin, body mass index (BMI)

About this article
Title

Components of metabolic syndrome in the first trimester of pregnancy as predictors of adverse perinatal outcome

Journal

Ginekologia Polska

Issue

Vol 87, No 9 (2016)

Article type

Research paper

Pages

644-650

Published online

2016-09-30

Page views

1798

Article views/downloads

1915

DOI

10.5603/GP.2016.0060

Pubmed

27723072

Bibliographic record

Ginekol Pol 2016;87(9):644-650.

Keywords

metabolic syndrome
adiponectin
gestational diabetes mellitus
macrosomy
E-selectin
body mass index (BMI)

Authors

Michał Migda
Marian S. Migda
Bartosz Migda
Patrycja Krzyżanowska
Ewa Wender-Ożegowska

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