Literature DB >> 32560855

Fibrin/fibrinogen degradation products in late pregnancy promote macrosomia prediction in normal uncomplicated pregnancy.

Xiaosong Yuan1, Yanfang Gao2, Ming Zhang3, Wei Long4, Jianbing Liu5, Huiyan Wang6, Bin Yu7, Jun Xu8.   

Abstract

OBJECTIVE: The purpose of this study was to explore the association of fibrin/fibrinogen degradation products (FDP) levels with the risk of macrosomia, and determine whether FDP, either alone or combined with traditional factors in late pregnancy, could be used to predict macrosomia at birth in healthy pregnancies.
METHODS: A total of 9464 health pregnant women with singleton pregnancy were recruited in this retrospective cohort study. Maternal plasma FDP levels at hospital admission and birth outcomes were obtained from laboratory system and hospital records, respectively.
RESULTS: FDP levels in late pregnancy were significant higher in women who delivered macrosomia than those who delivered infants with normal weight [median (interquartile range, IQR): 8.2 (5.8-11.9) vs. 6.6 (4.7-9.6) mg/L; P < 0.001]. Multivariable logistic regression analysis demonstrated that FDP levels were independently associated with macrosomia risk. Pregnant women in the highest quartile of FDP had a 2.99-fold higher risk of delivering macrosomia compared with those in the lowest (adjusted OR: 2.99; 95% CI: 2.27-3.93). In addition, the incorporation of FDP into the crude prediction model significantly improved the area under curve (AUC) for predicting macrosomia (0.774 vs. 0.787; P < 0.001).
CONCLUSION: Our findings suggest that maternal plasma FDP levels in late pregnancy are independently and significantly associated with risk of macrosomia. Combination of FDP levels and traditional risk factors could promote the prediction of macrosomia.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Birthweight; Fibrin/fibrinogen degradation products; Large for gestational age; Late pregnancy; Macrosomia; Prediction

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Substances:

Year:  2020        PMID: 32560855     DOI: 10.1016/j.placenta.2020.04.011

Source DB:  PubMed          Journal:  Placenta        ISSN: 0143-4004            Impact factor:   3.481


  2 in total

1.  Nomogram-based risk prediction of macrosomia: a case-control study.

Authors:  Jing Du; Xiaomei Zhang; Sanbao Chai; Xin Zhao; Jianbin Sun; Ning Yuan; Xiaofeng Yu; Qiaoling Zhang
Journal:  BMC Pregnancy Childbirth       Date:  2022-05-05       Impact factor: 3.105

2.  Investigation and Application of Risk Factors of Macrosomia Based on 10,396 Chinese Pregnant Women.

Authors:  Xiaosong Yuan; Xiaoya Han; Chenbo Jia; Wei Long; Huiyan Wang; Bin Yu; Jun Zhou
Journal:  Front Endocrinol (Lausanne)       Date:  2022-04-26       Impact factor: 6.055

  2 in total

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