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Associations between maternal lipid profile and pregnancy complications and perinatal outcomes: a population-based study from China

Overview of attention for article published in BMC Pregnancy and Childbirth, March 2016
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Title
Associations between maternal lipid profile and pregnancy complications and perinatal outcomes: a population-based study from China
Published in
BMC Pregnancy and Childbirth, March 2016
DOI 10.1186/s12884-016-0852-9
Pubmed ID
Authors

Wen-Yuan Jin, Sheng-Liang Lin, Ruo-Lin Hou, Xiao-Yang Chen, Ting Han, Yan Jin, Li Tang, Zhi-Wei Zhu, Zheng-Yan Zhao

Abstract

Dyslipidemia in pregnancy are associated with gestational diabetes mellitus (GDM), preeclampsia, preterm birth and other adverse outcomes, which has been extensively studied in western countries. However, similar studies have rarely been conducted in Asian countries. Our study was aimed at investigating the associations between maternal dyslipidemia and adverse pregnancy outcomes among Chinese population. Data were derived from 934 pairs of non-diabetic mothers and neonates between 2010 and 2011. Serum blood samples were assayed for fasting total cholesterol (TC), triglycerides (TG), high-density lipoprotein-cholesterol (HDL-C), and low-density lipoprotein-cholesterol (LDL-C) concentrations during the first, second and third trimesters. The present study explored the associations between maternal lipid profile and pregnancy complications and perinatal outcomes. The pregnancy complications included GDM, preeclampsia and intrahepatic cholestasis of pregnancy (ICP); the perinatal outcomes included preterm birth, small/large for gestational age (SGA/LGA) infants and macrosomia. Odds ratios (ORs) and 95 % confidence intervals (95 % CIs) were calculated and adjusted via stepwise logistic regression analysis. Optimal cut-off points were determined by ROC curve analysis. After adjustments for confounders, every unit elevation in third-trimester TG concentration was associated with increased risk for GDM (OR = 1.37, 95 % CI: 1.18-1.58), preeclampsia (OR = 1.50, 95 % CI: 1.16-1.93), ICP (OR = 1.28, 95 % CI: 1.09-1.51), LGA (OR = 1.13, 95 % CI: 1.02-1.26), macrosomia (OR = 1.19, 95 % CI: 1.02-1.39) and decreased risk for SGA (OR = 0.63, 95 % CI: 0.40-0.99); every unit increase in HDL-C concentration was associated with decreased risk for GDM and macrosomia, especially during the second trimester (GDM: OR = 0.10, 95 % CI: 0.03-0.31; macrosomia: OR = 0.25, 95 % CI: 0.09-0.73). The optimal cut-off points for third-trimester TG predicting GDM, preeclampsia, ICP, LGA and SGA were separately ≥3.871, 3.528, 3.177, 3.534 and ≤2.530 mmol/L. The optimal cut-off points for third-trimester HDL-C identifying GDM, macrosomia and SGA were respectively ≤1.712, 1.817 and ≥2.238 mmol/L. Among Chinese population, maternal high TG in late pregnancy was independently associated with increased risk of GDM, preeclampsia, ICP, LGA, macrosomia and decreased risk of SGA. Relative low maternal HDL-C during pregnancy was significantly associated with increased risk of GDM and macrosomia; whereas relative high HDL-C was a protective factor for both of them.

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Mendeley readers

The data shown below were compiled from readership statistics for 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Ghana 1 <1%
Unknown 232 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 15%
Student > Bachelor 27 12%
Researcher 25 11%
Student > Ph. D. Student 14 6%
Student > Postgraduate 11 5%
Other 38 16%
Unknown 83 35%
Readers by discipline Count As %
Medicine and Dentistry 70 30%
Nursing and Health Professions 32 14%
Biochemistry, Genetics and Molecular Biology 19 8%
Agricultural and Biological Sciences 9 4%
Social Sciences 4 2%
Other 15 6%
Unknown 85 36%