Literature DB >> 21376671

Early prediction and prevention of pre-eclampsia.

Karin Leslie1, Basky Thilaganathan, Aris Papageorghiou.   

Abstract

Pre-eclampsia remains an important cause of maternal and perinatal mortality. The ability to predict the most severe forms of pre-eclampsia would allow closer surveillance and earlier intervention to improve outcomes. Although no definitive preventative treatment has been found to date, it is likely that prospective treatments would need to start early in pregnancy to alter pathogenesis. Following recent advances in the understanding of the pathogenesis of this complex syndrome, new predictive tests are being evaluated. The most promising models incorporate biochemical and biophysical tests that combine assessments of placentation and maternal disease susceptibility.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Mesh:

Substances:

Year:  2011        PMID: 21376671     DOI: 10.1016/j.bpobgyn.2011.01.002

Source DB:  PubMed          Journal:  Best Pract Res Clin Obstet Gynaecol        ISSN: 1521-6934            Impact factor:   5.237


  12 in total

1.  Family history of chronic illness, preterm gestational age and smoking exposure before pregnancy increases the probability of preeclampsia in Omo district in southern Ethiopia: a case-control study.

Authors:  Kassahun Fikadu; Feleke G/Meskel; Firdawek Getahun; Nega Chufamo; Direslign Misiker
Journal:  Clin Hypertens       Date:  2020-08-15

2.  Prediction of Preeclampsia by First Trimester Combined Test and Simple Complete Blood Count Parameters.

Authors:  Ayse Kirbas; Ali Ozgur Ersoy; Korkut Daglar; Turkan Dikici; Ebru Hacer Biberoglu; Ozgur Kirbas; Nuri Danisman
Journal:  J Clin Diagn Res       Date:  2015-11-01

Review 3.  Preeclampsia: multiple approaches for a multifactorial disease.

Authors:  Kathleen A Pennington; Jessica M Schlitt; Daniel L Jackson; Laura C Schulz; Danny J Schust
Journal:  Dis Model Mech       Date:  2012-01       Impact factor: 5.758

Review 4.  A Dormant Microbial Component in the Development of Preeclampsia.

Authors:  Douglas B Kell; Louise C Kenny
Journal:  Front Med (Lausanne)       Date:  2016-11-29

5.  Prediction model development of late-onset preeclampsia using machine learning-based methods.

Authors:  Jong Hyun Jhee; SungHee Lee; Yejin Park; Sang Eun Lee; Young Ah Kim; Shin-Wook Kang; Ja-Young Kwon; Jung Tak Park
Journal:  PLoS One       Date:  2019-08-23       Impact factor: 3.240

6.  Measures of adiposity correlate with renal filtration in young nulliparous women: An observational cohort study.

Authors:  Frank B Williams; Carole A McBride; Gary J Badger; Ira M Bernstein
Journal:  Obes Sci Pract       Date:  2019-12-17

7.  First trimester PAPP-A levels correlate with sFlt-1 levels longitudinally in pregnant women with and without preeclampsia.

Authors:  Aditi R Saxena; Ellen W Seely; Janet W Rich-Edwards; Louise E Wilkins-Haug; S Ananth Karumanchi; Thomas F McElrath
Journal:  BMC Pregnancy Childbirth       Date:  2013-04-04       Impact factor: 3.007

Review 8.  Prevention of preeclampsia.

Authors:  Sammya Bezerra Maia E Holanda Moura; Laudelino Marques Lopes; Padma Murthi; Fabricio da Silva Costa
Journal:  J Pregnancy       Date:  2012-12-17

9.  Evaluation of serum β-hCG and PAPP-A levels in pregnant women at risk of developing preeclampsia.

Authors:  Mihaela Daniela Oancea; Nicolae Costin; Daria Maria Pop; Razvan Ciortea; Dan Mihu
Journal:  Clujul Med       Date:  2013-11-06

10.  First trimester screening of circulating C19MC microRNAs and the evaluation of their potential to predict the onset of preeclampsia and IUGR.

Authors:  Ilona Hromadnikova; Katerina Kotlabova; Katarina Ivankova; Ladislav Krofta
Journal:  PLoS One       Date:  2017-02-09       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.