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Is Vitamin D Binding Protein a Novel Predictor of Labour?

Overview of attention for article published in PLOS ONE, October 2013
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Title
Is Vitamin D Binding Protein a Novel Predictor of Labour?
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0076490
Pubmed ID
Authors

Stella Liong, Megan K. W. Di Quinzio, Gabrielle Fleming, Michael Permezel, Harry M. Georgiou

Abstract

Vitamin D binding protein (VDBP) has previously been identified in the amniotic fluid and cervicovaginal fluid (CVF) of pregnant women. The biological functions of VDBP include acting as a carrier protein for vitamin D metabolites, the clearance of actin that is released during tissue injury and the augmentation of the pro-inflammatory response. This longitudinal observational study was conducted on 221 healthy pregnant women who spontaneously laboured and delivered either at term or preterm. Serial CVF samples were collected and VDBP was measured by ELISA. Binary logistic regression analysis was performed to assess the utility of VDBP as a predictor of labour. VDBP in the CVF did not change between 20 and 35 weeks' gestation. VDBP measured in-labour was significantly increased 4.2 to 7.4-fold compared to 4-7, 8-14 and 15-28 days before labour (P<0.05). VDBP concentration was 4.3-fold significantly higher at 0-3 days compared to 15-28 days pre-labour (P<0.05). The efficacy of VDBP to predict spontaneous labour onset within 3 days provided a positive and negative predictive value of 82.8% and 95.3% respectively (area under receiver operator characteristic curve  = 0.974). This longitudinal study of pregnant women suggests that VDBP in the CVF may be a useful predictor of labour.

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Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
South Africa 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Researcher 4 8%
Student > Master 4 8%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Other 11 22%
Unknown 15 31%
Readers by discipline Count As %
Medicine and Dentistry 16 33%
Agricultural and Biological Sciences 9 18%
Biochemistry, Genetics and Molecular Biology 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Mathematics 1 2%
Other 4 8%
Unknown 14 29%