Literature DB >> 24786703

Can first trimester placental protein-13 and pregnancy-associated plasma protein-A predict pre-eclampsia in Turkish women?

N Ceylan1, G Ozaksit, B S Unlu, Y Yildiz, S Yilmaz, F Agaca.   

Abstract

The aim of study was to evaluate placental protein-13 (PP-13) and pregnancy-associated plasma protein-A (PAPP-A) in first trimester maternal serum, for predicting pre-eclampsia. A prospective case-control study included 30 pre-eclampsia patients and 90 control pregnant women. Pre-eclampsia patients were divided into two subgroups: early- and late-onset (9 vs 21), and PP-13 and PAPP-A levels were compared between the groups and the comparison of risks for pre-eclampsia were calculated. Results showed that there was a significant inverse correlation between PAPP-A and late pre-eclampsia (p = 0.003), with a cut-off value of 0.805 (ROC analysis area under curve = 0.751). There was a significant reverse correlation between PAPP-A and early pre-eclampsia (p = 0.02). There was no significant relationship between PP-13 and early pre-eclampsia, nor with late pre-eclampsia (p = 0.7, p = 0.6, respectively). It was concluded that neither of these markers can serve as a sufficient and reliable screening test of pre-eclampsia because of inadequate sensitivity in the Turkish pregnant population.

Entities:  

Keywords:  PAPP-A; PP-13; pre-eclampsia

Mesh:

Substances:

Year:  2014        PMID: 24786703     DOI: 10.3109/01443615.2014.911832

Source DB:  PubMed          Journal:  J Obstet Gynaecol        ISSN: 0144-3615            Impact factor:   1.246


  2 in total

1.  A risk model of prenatal screening markers in first trimester for predicting hypertensive disorders of pregnancy.

Authors:  Yiming Chen; Zhen Xie; Xue Wang; Qingxin Xiao; Xiao Lu; Sha Lu; Yezhen Shi; Shaolei Lv
Journal:  EPMA J       Date:  2020-06-19       Impact factor: 6.543

Review 2.  Associations of pregnancy-associated plasma protein-A level with essential hypertension and hypertensive disorders in pregnancy in Chinese population: a meta-analysis of 20 research studies involving 3332 individuals.

Authors:  Gaojun Cai; Bifeng Zhang; Weijin Weng; Liping Yang; Ganwei Shi; Sheliang Xue; Xingli Fu
Journal:  BMJ Open       Date:  2015-09-28       Impact factor: 2.692

  2 in total

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