title: Maternal dyslipidemia during pregnancy may increase the risk of preterm birth: A meta-analysis.
abstract: Epidemiological studies have reported an inconsistent relationship between maternal lipid levels and preterm birth (PTB). We performed this meta-analysis to evaluate the association between maternal dyslipidemia and PTB. Overall, three nested case-control studies and eight cohort studies were eligible. Effect estimates [odds ratio(OR)/relative risk] were pooled using a fixed-effects or a random-effects model. Subgroup and metaregression analyses were conducted to evaluate the sources of heterogeneity. Eleven studies involving 13,025 pregnant women were included. Compared with pregnant women with normal lipid levels, the women with elevated levels of lipids had an increased risk of PTB, and the pooled OR was 1.68 [95% confidence interval (CI): 1.25-2.26)]; meanwhile, women with lower levels of lipids also had a trend of an increased risk of PTB (OR=1.52, 95% CI=0.60-3.82). The pooled ORs for elevated levels of total cholesterol, triglycerides, low density lipoprotein-cholesterol, and lower levels of high density lipoprotein-cholesterol were 1.71 (95% CI: 1.05-2.79), 1.55 (95% CI: 1.13-2.12), 1.19 (95% CI: 0.95-1.48), and 1.33 (95% CI: 1.14-1.56), respectively. The present meta-analysis found that maternal dyslipidemia during pregnancy, either the elevated total cholesterol or triglycerides, was associated with an increased risk of PTB. These findings indicate that a normal level of maternal lipid during pregnancy may reduce the risk of PTB.
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Shuying
authors.initials: S
authors.lastname: Jiang
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Jingxin
authors.initials: J
authors.lastname: Jiang
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Hongwei
authors.initials: H
authors.lastname: Xu
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Shuojia
authors.initials: S
authors.lastname: Wang
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Zeyu
authors.initials: Z
authors.lastname: Liu
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Minchao
authors.initials: M
authors.lastname: Li
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Liu
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Shuangshuang
authors.initials: S
authors.lastname: Zheng
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Lijuan
authors.initials: L
authors.lastname: Wang
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Fei
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Xiawei
authors.initials: X
authors.lastname: Li
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Yongfeng
authors.initials: Y
authors.lastname: Ding
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
authors.forename: Zhaopin
authors.initials: Z
authors.lastname: Wang
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China. Electronic address: yunxianyu@zju.edu.cn.
authors.forename: Yunxian
authors.initials: Y
authors.lastname: Yu
mesh_terms: D016022:Case-Control Studies; D002784:Cholesterol / Q000097:blood; D015331:Cohort Studies; D050171:Dyslipidemias / Q000097:blood / Q000150:complications*; D005260:Female; D006801:Humans; D008055:Lipids / Q000097:blood; D016017:Odds Ratio; D011247:Pregnancy; D011248:Pregnancy Complications / Q000097:blood; D047928:Premature Birth / Q000209:etiology*; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood
chemical_list: D008055:Lipids; D014280:Triglycerides; D002784:Cholesterol
keywords: dyslipidemia; meta-analysis; pregnancy; preterm birth