Relevance of maternal sodium level for preeclampsia-associated adverse pregnancy outcomes-Reference-Cited by-同舟云学术

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Relevance of maternal sodium level for preeclampsia-associated adverse pregnancy outcomes

Published:2021-08 Issue: Volume:25 Page:110-115
ISSN:2210-7789
Container-title:Pregnancy Hypertension
language:en
Short-container-title:Pregnancy Hypertension

Author:

Antonia Dröge Lisa,Eidmann Jonathan,Aigner Annette,Frank Lisa,Perschel Frank-Holger,Henrich Wolfgang,Verlohren Stefan

Publisher

Elsevier BV

Subject

Obstetrics and Gynecology,Internal Medicine

Reference29 articles.

1. KRYPTOR-automated angiogenic factor assays and risk of preeclampsia-related adverse outcomes;Salahuddin;Hypertens Pregnancy.,2016

2. Angiogenic Factors and the Risk of Adverse Outcomes in Women with Suspected Preeclampsia;Rana;Circulation,2012

3. Predictive Value of the sFlt-1:PlGF Ratio in Women with Suspected Preeclampsia;Zeisler;N. Engl. J. Med.,2016

4. Soluble fms-like tyrosine kinase-1 to placental growth factor ratio: ruling out pre-eclampsia for up to 4 weeks and value of retesting;Zeisler;Ultrasound Obstet. Gynecol.,2019

5. Soluble fms-Like Tyrosine Kinase-1-to-Placental Growth Factor Ratio and Time to Delivery in Women With Suspected Preeclampsia;Zeisler;Obstet Gynecol.,2016

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Association of maternal mineral status with the risk of preterm birth: a retrospective cohort study;Frontiers in Nutrition;2024-05-10

2. Calcium, Potassium, Sodium, and Magnesium Concentrations in the Placenta, Umbilical Cord, and Fetal Membrane from Women with Multiple Pregnancies;Life;2023-01-05

3. Comparison of the Soluble fms-Like Tyrosine Kinase 1/Placental Growth Factor Ratio Alone versus a Multi-Marker Regression Model for the Prediction of Preeclampsia-Related Adverse Outcomes after 34 Weeks of Gestation;Fetal Diagnosis and Therapy;2023

4. Diagnostic value of serum miR-25-3p in hypertensive disorders in pregnancy;Women & Health;2022-11-22

5. A machine-learning–based algorithm improves prediction of preeclampsia-associated adverse outcomes;American Journal of Obstetrics and Gynecology;2022-07

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