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肥胖女性的母体血脂谱作为妊娠期糖尿病的一个危险因素

Maternal Lipid Profile as a Risk Factor for Gestational Diabetes Mellitus in Obese Women.

作者信息

Tabacu Carmen, Manolea Maria-Magdalena, Novac Liliana, Dijmarescu Anda Lorena, Boldeanu Mihail Virgil

机构信息

Obstetrics and Gynecology Department, University of Medicine and Pharmacology of Craiova, Romania.

Immunology Department, University of Medicine and Pharmacy of Craiova, Romania.

出版信息

Curr Health Sci J. 2021 Apr-Jun;47(2):209-214. doi: 10.12865/CHSJ.47.02.10. Epub 2021 Jun 30.

DOI:10.12865/CHSJ.47.02.10
PMID:34765240
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8551905/
Abstract

As dyslipidemia is frequently associated with gestational diabetes mellitus, the aim of this study was to establish a correlation between the evolution of the maternal lipid profile evaluated in the first and third pregnancy trimester for a series of parameters: triglycerides, cholesterol, high-density lipoprotein cholesterol (HDL-C), blood sugar fasting (BSF), triglyceride-glucose index (TyG index), TG/HDL-C ratio, leptin and the risk of gestational diabetes mellitus occurrence. The results were statistically interpreted, establishing the mean value of the obtained results and the standard deviation. From the studied parameters, only HDL-C and Tyg were statistically significant different in the  first trimester for the two study groups, while in the third trimester statistically significant differences were observed also for triglycerides, blood sugar fasting and the TG/HDL-C ratio.

摘要

由于血脂异常常与妊娠期糖尿病相关，本研究的目的是针对一系列参数（甘油三酯、胆固醇、高密度脂蛋白胆固醇（HDL-C）、空腹血糖（BSF）、甘油三酯-葡萄糖指数（TyG指数）、TG/HDL-C比值、瘦素）建立孕早期和孕晚期评估的孕妇血脂谱变化与妊娠期糖尿病发生风险之间的相关性。对结果进行了统计学解释，确定了所得结果的平均值和标准差。在研究的参数中，两个研究组在孕早期只有HDL-C和TyG有统计学显著差异，而在孕晚期，甘油三酯、空腹血糖和TG/HDL-C比值也观察到有统计学显著差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/936b6afb141d/CHSJ-47-02-209-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/a152c7a80f3e/CHSJ-47-02-209-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/2e9c1724e85e/CHSJ-47-02-209-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/b95c94a9f3af/CHSJ-47-02-209-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/1ae3e17fd0f8/CHSJ-47-02-209-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/6c97993b93b0/CHSJ-47-02-209-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/e4de52c00576/CHSJ-47-02-209-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/56681c3638b9/CHSJ-47-02-209-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/629cdf5f2ad7/CHSJ-47-02-209-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/936b6afb141d/CHSJ-47-02-209-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/a152c7a80f3e/CHSJ-47-02-209-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/2e9c1724e85e/CHSJ-47-02-209-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/b95c94a9f3af/CHSJ-47-02-209-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/1ae3e17fd0f8/CHSJ-47-02-209-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/6c97993b93b0/CHSJ-47-02-209-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/e4de52c00576/CHSJ-47-02-209-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/56681c3638b9/CHSJ-47-02-209-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/629cdf5f2ad7/CHSJ-47-02-209-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319f/8551905/936b6afb141d/CHSJ-47-02-209-fig9.jpg

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Diabetes Metab Syndr Obes. 2020 Jun 16;13:2025-2035. doi: 10.2147/DMSO.S251846. eCollection 2020.
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