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孕早期血脂谱在子痫前期早期预测及其严重程度评估中的价值:一项前瞻性队列研究。

Value of first-trimester serum lipid profile in early prediction of preeclampsia and its severity: A prospective cohort study.

作者信息

El Khouly Nabih I, Sanad Zakaria F, Saleh Said A, Shabana Ayman A, Elhalaby Alaa F, Badr Eman E

机构信息

a Department of Obstetrics and Gynecology, Faculty of Medicine , Menoufia University , Shibin Elkom , Egypt.

出版信息

Hypertens Pregnancy. 2016;35(1):73-81. doi: 10.3109/10641955.2015.1115060. Epub 2016 Feb 1.

Abstract

STUDY OBJECTIVE

The purpose of this study was to evaluate the association of first-trimester serum lipid profile with preeclampsia (PE) and if so, its association with the severity of the disease.

STUDY

Prospective cohort study.

PATIENT AND METHODS

A total of 251 pregnant women participated in this study in their first trimester. Maternal blood samples were collected between 4 and 12 weeks of gestation. Fasting serum triglycerides (TGs), total cholesterol (TC), HDL-cholesterol, and low-density lipoprotein cholesterol (LDL-C) were drawn and measured by ELISA. From the cohort, 26 women developed PE (16 mild and 10 severe) and 174 remained normotensive and used as control subjects.

RESULTS

There was a significant rise in fasting serum TGs, TC, and LDL-C and a significant decrease in HDL-C in women who developed PE than in those who remained normotensive and more significantly evident in severe preeclamptic cases compared to mild cases of PE (p < 0.05).

CONCLUSION

Early pregnancy dyslipidemia, particularly hypertriglyceridemia and hypercholesterolemia, may help in predicting women who later develop PE and may help in prediction of its severity.

摘要

研究目的

本研究旨在评估孕早期血脂谱与子痫前期(PE)的相关性,若存在相关性,则评估其与疾病严重程度的关系。

研究

前瞻性队列研究。

患者与方法

共有251名孕妇在孕早期参与了本研究。在妊娠4至12周期间采集孕妇血液样本。通过酶联免疫吸附测定法检测并测量空腹血清甘油三酯(TGs)、总胆固醇(TC)、高密度脂蛋白胆固醇(HDL-C)和低密度脂蛋白胆固醇(LDL-C)。在该队列中,26名女性发生了子痫前期(16例轻度和10例重度),174名维持血压正常并作为对照对象。

结果

发生子痫前期的女性空腹血清TGs、TC和LDL-C显著升高,HDL-C显著降低,与维持血压正常的女性相比,重度子痫前期病例比轻度子痫前期病例更明显(p < 0.05)。

结论

孕早期血脂异常,尤其是高甘油三酯血症和高胆固醇血症,可能有助于预测后期发生子痫前期的女性,并可能有助于预测其严重程度。

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