Literature DB >> 29413226

An analysis of the risk factors of preeclampsia and prediction based on combined biochemical indexes.

Li-Mei Quan1, Qiu-Lian Xu2, Gen-Qin Zhang2, Lin-Lin Wu2, Heng Xu2.   

Abstract

This study aims to investigate the risk factors and the joint biochemical indicators predictive value for preeclampsia. Related factors and biochemical indicators were investigated in 558 patients with preeclampsia and 435 normal pregnant women. Multiplicity analysis was performed by logistic regression. The predictive value of the biochemical index and joint biochemical indicators for predicting the incidence of pregnant women preeclampsia were analyzed by ROC curve. A progestation BMI of >24 kg/m2 (OR = 5.412, 95% CI: 1.169-9.447), hypertension history (OR = 7.487, 95% CI: 2.541-11.247) and advanced age (>35 years old, OR = 6.321, 95% CI: 3.142-20.342) are risk factors for preeclampsia. Tumor necrosis factor-α and plasma protein-A are valuable for preeclampsia prediction. The predictive success of preeclampsia could be improved by clinical risk factors associated with biochemical indicators detection.
Copyright © 2017. Published by Elsevier Taiwan.

Entities:  

Keywords:  Biochemical indexes; Prediction analysis; Preeclampsia; Risk factors

Mesh:

Year:  2017        PMID: 29413226     DOI: 10.1016/j.kjms.2017.10.001

Source DB:  PubMed          Journal:  Kaohsiung J Med Sci        ISSN: 1607-551X            Impact factor:   2.744


  6 in total

Review 1.  Comparative risks and predictors of preeclamptic pregnancy in the Eastern, Western and developing world.

Authors:  Ning Zhang; Jing Tan; HaiFeng Yang; Raouf A Khalil
Journal:  Biochem Pharmacol       Date:  2020-09-25       Impact factor: 5.858

2.  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

3.  Predicting Hypertensive Disease in the First Trimester of Pregnancy: Risk Models and Analysis of Serum D-dimer Levels Combined with Plasma Pregnancy-Associated Protein A, Free β-Subunit of Human Chorionic Gonadotropin, and Fetal Nuchal Translucency.

Authors:  Yiming Chen; Wenwen Ning; Xuelian Chu; Yijie Chen; Linyuan Gu; Zhen Xie; Liyao Li; Caihe Wen; Xiaoying Wang
Journal:  Biomed Res Int       Date:  2022-03-30       Impact factor: 3.411

4.  Development of a prediction model on preeclampsia using machine learning-based method: a retrospective cohort study in China.

Authors:  Mengyuan Liu; Xiaofeng Yang; Guolu Chen; Yuzhen Ding; Meiting Shi; Lu Sun; Zhengrui Huang; Jia Liu; Tong Liu; Ruiling Yan; Ruiman Li
Journal:  Front Physiol       Date:  2022-08-12       Impact factor: 4.755

5.  Associations between maternal obesity, gestational cytokine levels and child obesity in the NEST cohort.

Authors:  Rachel L Maguire; John S House; Dillon T Lloyd; Harlyn G Skinner; Terrence K Allen; Asifa Mohamed Raffi; David A Skaar; Sarah S Park; Lauren E McCullough; Scott H Kollins; Staci D Bilbo; David N Collier; Susan K Murphy; Bernard F Fuemmeler; Kymberly M Gowdy; Cathrine Hoyo
Journal:  Pediatr Obes       Date:  2020-12-30       Impact factor: 3.910

Review 6.  Exploring the Use of Telemonitoring for Patients at High Risk for Hypertensive Disorders of Pregnancy in the Antepartum and Postpartum Periods: Scoping Review.

Authors:  Maria Aquino; Sarah Munce; Janessa Griffith; Maureen Pakosh; Mikayla Munnery; Emily Seto
Journal:  JMIR Mhealth Uhealth       Date:  2020-04-17       Impact factor: 4.773

  6 in total

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