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Second-trimester maternal lipid profiles predict pregnancy complications in an age-dependent manner

  • Maternal-Fetal Medicine
  • Published:
Archives of Gynecology and Obstetrics Aims and scope Submit manuscript

Abstract

Purpose

Our objective was to investigate the combinatorial effect of maternal age and second-trimester maternal lipid profiles for pregnancy complications.

Methods

With 1:4 matching, this retrospective study selected 499 advanced maternal age women and 1996 younger controls. Logistic regression analysis was used to estimate the correlation between second-trimester lipid profiles [total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C)] and pregnancy complications [gestational diabetes mellitus (GDM), pregnancy-induced hypertension syndrome (PIH), preterm labor (PTL), and macrosomia]. Optimal cutoff points were determined by ROC curve analysis.

Results

In women aged 20–34 years, TG are a risk factor for PIH (OR 1.54, 95% CI 1.16–2.04) and PTL (OR 1.34, 95% CI 1.04–1.72). LDL-C was positively associated with macrosomia (OR 1.25, 95% CI 1.04–1.50), while HDL-C was negatively associated with PIH (OR 0.45, 95% CI 0.21–0.93). The optimal cutoff points for TG predicting PIH and PTL were separately ≥ 2.135 and 2.305 mmol/L. The optimal cutoff point for HDL-C identifying PIH was ≤ 1.995 mmol/L and for LDL-C identifying macrosomia was ≥ 3.425 mmol/L. As for advanced maternal age, only TG was an independent risk factor for PIH (OR 1.60, 95% CI 1.01–2.54), and its optimal cutoff point was ≥ 2.375 mmol/L.

Conclusions

Second-trimester lipid profiles might predict pregnancy complications varied by maternal age. This suggested that individualized prenatal care strategies should be established for women with advanced and normal maternal age to prevent pregnancy complications.

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Acknowledgements

This study was supported by the Foundation of Key Supporting Discipline of Zhejiang Province, Zhejiang Provincial & Ministry of Health Research Fund for Medical Sciences (WKJ-ZJ-1722), Key Project of Science and Technology Department of Zhejiang Province (2018C03010). We also thank Professor Peixin Yang from University of Maryland School of Medicine for guidance in data analysis.

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Author notes

  1. Qi Wu and Lixia Zhang contributed equally to this work and should be considered as co-first authors.

Authors and Affiliations

  1. Department of Obstetrics, Women’s Hospital, Zhejiang University School of Medicine, 1 Xueshi Road, Hangzhou, 310006, China

    Qi Wu, Lixia Zhang, Licong Huang, Yu Lei, Lin Chen, Zhaoxia Liang, Menglin Zhou, Heng Xu, Yumei Zhou, Fei Wang & Danqing Chen

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  1. Qi Wu
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Contributions

QW and LXZ: project development, data collection, data analysis, data interpretation, and manuscript writing. LH, YL and LC: data analysis and manuscript revision. ZXL, MLZ, HX, YMZ and FW: data collection and manuscript revision. DQC: project development, data interpretation, and manuscript revision.

Corresponding author

Correspondence to Danqing Chen.

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The authors declare that there is no duality of interest associated with this manuscript.

Informed consent

In this study, we confirm that patient privacy was not compromised, which was approved by the hospital’s ethics committee. And specific informed consent for inclusion was waived because of using anonymized patient records.

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Wu, Q., Zhang, L., Huang, L. et al. Second-trimester maternal lipid profiles predict pregnancy complications in an age-dependent manner. Arch Gynecol Obstet 299, 1253–1260 (2019). https://doi.org/10.1007/s00404-019-05094-z

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