Cervical elastography using E-cervix for prediction of preterm birth in singleton pregnancies with threatened preterm labor

Author(s):  
Giovanni Nazzaro ◽  
Gabriele Saccone ◽  
Marilena Miranda ◽  
Felice Crocetto ◽  
Fulvio Zullo ◽  
...  
2017 ◽  
Vol 85 ◽  
pp. 216-217 ◽  
Author(s):  
Ana García-Blanco ◽  
Vicente Diago ◽  
Verónica Serrano-De La Cruz ◽  
David Hervás ◽  
Consuelo Cháfer-Pericás ◽  
...  

2015 ◽  
Vol 29 (19) ◽  
pp. 3223-3228 ◽  
Author(s):  
Frederik Jan Robin Hermans ◽  
Ariel Karolinski ◽  
Véronique Othenin-Girard ◽  
María Victoria Bertolino ◽  
Ewoud Schuit ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (5) ◽  
pp. e96901 ◽  
Author(s):  
Yujing Jan Heng ◽  
Craig Edward Pennell ◽  
Hon Nian Chua ◽  
Jonathan Edward Perkins ◽  
Stephen James Lye

2017 ◽  
Vol 83 ◽  
pp. 19-24 ◽  
Author(s):  
Ana García-Blanco ◽  
Vicente Diago ◽  
Verónica Serrano De La Cruz ◽  
David Hervás ◽  
Consuelo Cháfer-Pericás ◽  
...  

Author(s):  
Chunhua Yin ◽  
Jingrui Chen ◽  
Xuena Wu ◽  
Yeling Liu ◽  
Quan He ◽  
...  

BackgroundPreterm birth is one of the leading causes of perinatal morbidity and mortality. Gut microbiome dysbiosis is closely related to adverse pregnancy outcomes. However, the role of the gut microbiome in the pathogenesis of preterm birth remains poorly studied.MethodWe collected fecal samples from 41 women (cases presenting with threatened preterm labor =19, 11 of which delivered preterm; gestational age-matched no-labor controls, all of which delivered at term = 22) were recruited for the study. We performed 16S rRNA amplicon sequencing to compare the composition of the gut microbiome in threatened preterm labor cases and controls and among women who delivered preterm and at term. By annotating taxonomic biomarkers with the Human Oral Microbiome Database, we observed an increased abundance of potential oral-to-gut bacteria in preterm patients.ResultsPatients with preterm birth showed a distinct gut microbiome dysbiosis compared with those who delivered at term. Opportunistic pathogens, particularly Porphyromonas, Streptococcus, Fusobacterium, and Veillonella, were enriched, whereas Coprococcus and Gemmiger were markedly depleted in the preterm group. Most of the enriched bacteria were annotated oral bacteria using the Human Oral Microbiome Database. These potential oral-to-gut bacteria were correlated with clinical parameters that reflected maternal and fetal status.ConclusionsThis study suggests that patients who deliver preterm demonstrate altered gut microbiome that may contain higher common oral bacteria.


Author(s):  
David M Haas ◽  
Amanda M Morgan ◽  
Samantha J Deans ◽  
Frank P Schubert

2017 ◽  
Vol 45 (8) ◽  
Author(s):  
George Uchenna Eleje ◽  
Euzebus Chinonye Ezugwu ◽  
Ahizechukwu Chigoziem Eke ◽  
Lydia Ijeoma Eleje ◽  
Joseph Ifeanyichukwu Ikechebelu ◽  
...  

AbstractPurpose:To determine values of combinations of interleukin-6 (IL-6)/cervical native insulin-like growth factor-binding protein-1 (IGFBP-1)/total IGFBP-1 (Premaquick©) in predicting spontaneous deliveries and spontaneous exclusive preterm deliveries in women with threatened preterm labor.Methods:Women with singleton pregnancies between gestation age (GA) of 24 weeks and 36 weeks and 6 days with preterm labor were recruited during a prospective multicenter study. Premaquick© was positive when at least two of three biomarkers were positive. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy were estimated for both prediction of spontaneous deliveries and spontaneous exclusive preterm deliveries.Results:Ninety-seven (99.0%) out of 98 women enrolled were analyzed. Based on delivery status 7/14 days post-enrollment of general study population, Premaquick© had a sensitivity of 87.1/85.7%, a specificity of 92.4/96.8%, a PPV of 84.4/93.8% and a NPV of 93.9/92.3% for prediction of spontaneous delivery. Predictive accuracy of Premaquick© test in relation to days of enrollment were: 90.7% (≤7 days) and 92.8% (≤14 days). For women enrolled at GA <35 weeks, Premaquick© had a sensitivity of 100.0/87.5%, a specificity of 94.1/96.9%, a PPV of 70.5/87.5%, a NPV of 100.0/96.9% and an accuracy of 95.0/95.0% for prediction of preterm delivery within 7/14 days of enrollment, respectively. PPV was most significantly different in both groups when outcomes were compared between 2 days and 14 days post-enrollment (P<0.001).Conclusion:This novel triple biomarker model of native and total IGFBP-1 and IL-6 appears to be an accurate test in predicting spontaneous deliveries and spontaneous exclusive preterm deliveries in threatened preterm labor in singleton pregnancies.


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