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Data on clinical significance of second trimester inflammatory biomarkers in the amniotic fluid in predicting preterm delivery
In this article second trimester amniotic fluid biomarkers are measured for correlation with preterm delivery. One additional milliliter of amniotic fluid is collected during amniocentesis for dosages of IL-6, MMP-9, CRP and glucose levels, along with maternal serum CRP and glucose. MMP-9 and Il-6 l...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011160/ https://www.ncbi.nlm.nih.gov/pubmed/27626053 http://dx.doi.org/10.1016/j.dib.2016.08.030 |
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author | Kesrouani, Assaad Chalhoub, Elie El Rassy, Elie Germanos, Mirna Khazzaka, Aline Rizkallah, Jamale Attieh, Elie Aouad, Norma |
author_facet | Kesrouani, Assaad Chalhoub, Elie El Rassy, Elie Germanos, Mirna Khazzaka, Aline Rizkallah, Jamale Attieh, Elie Aouad, Norma |
author_sort | Kesrouani, Assaad |
collection | PubMed |
description | In this article second trimester amniotic fluid biomarkers are measured for correlation with preterm delivery. One additional milliliter of amniotic fluid is collected during amniocentesis for dosages of IL-6, MMP-9, CRP and glucose levels, along with maternal serum CRP and glucose. MMP-9 and Il-6 levels were measured with the corresponding Human Quantikine(R) ELISA Kit (R&D systems) according to the instructions provided by the manufacturer. Cut-off values for AF MMP-9 and IL-6 were fixed by the kit sensitivity thresholds. Data includes ROC curves for glucose (Fig. 1), IL-6 (Fig. 2) and MMP-9 (Fig. 3), aiming to search for sensitivity and specificity in the prediction of premature delivery. Statistical analyses are performed with SPSS v20.0 software. Statistical significance is determined using the Mann–Whitney and one way ANOVA test. The association with preterm delivery is performed using a two proportions test. Correlations are measured using the Pearson׳’s coefficient. A p value<0.05 is considered statistically significant. The data is presented in the figures provided. Data relied on a previous publication “Prediction of preterm delivery by second trimester inflammatory biomarkers in the amniotic fluid” (A. Kesrouani, E. Chalhoub, E. El Rassy, M. Germanos, A. Khazzaka, J. Rizkallah, E. Attieh, N. Aouad, 2016) [1]. |
format | Online Article Text |
id | pubmed-5011160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-50111602016-09-13 Data on clinical significance of second trimester inflammatory biomarkers in the amniotic fluid in predicting preterm delivery Kesrouani, Assaad Chalhoub, Elie El Rassy, Elie Germanos, Mirna Khazzaka, Aline Rizkallah, Jamale Attieh, Elie Aouad, Norma Data Brief Data Article In this article second trimester amniotic fluid biomarkers are measured for correlation with preterm delivery. One additional milliliter of amniotic fluid is collected during amniocentesis for dosages of IL-6, MMP-9, CRP and glucose levels, along with maternal serum CRP and glucose. MMP-9 and Il-6 levels were measured with the corresponding Human Quantikine(R) ELISA Kit (R&D systems) according to the instructions provided by the manufacturer. Cut-off values for AF MMP-9 and IL-6 were fixed by the kit sensitivity thresholds. Data includes ROC curves for glucose (Fig. 1), IL-6 (Fig. 2) and MMP-9 (Fig. 3), aiming to search for sensitivity and specificity in the prediction of premature delivery. Statistical analyses are performed with SPSS v20.0 software. Statistical significance is determined using the Mann–Whitney and one way ANOVA test. The association with preterm delivery is performed using a two proportions test. Correlations are measured using the Pearson׳’s coefficient. A p value<0.05 is considered statistically significant. The data is presented in the figures provided. Data relied on a previous publication “Prediction of preterm delivery by second trimester inflammatory biomarkers in the amniotic fluid” (A. Kesrouani, E. Chalhoub, E. El Rassy, M. Germanos, A. Khazzaka, J. Rizkallah, E. Attieh, N. Aouad, 2016) [1]. Elsevier 2016-08-24 /pmc/articles/PMC5011160/ /pubmed/27626053 http://dx.doi.org/10.1016/j.dib.2016.08.030 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Kesrouani, Assaad Chalhoub, Elie El Rassy, Elie Germanos, Mirna Khazzaka, Aline Rizkallah, Jamale Attieh, Elie Aouad, Norma Data on clinical significance of second trimester inflammatory biomarkers in the amniotic fluid in predicting preterm delivery |
title | Data on clinical significance of second trimester inflammatory biomarkers in the amniotic fluid in predicting preterm delivery |
title_full | Data on clinical significance of second trimester inflammatory biomarkers in the amniotic fluid in predicting preterm delivery |
title_fullStr | Data on clinical significance of second trimester inflammatory biomarkers in the amniotic fluid in predicting preterm delivery |
title_full_unstemmed | Data on clinical significance of second trimester inflammatory biomarkers in the amniotic fluid in predicting preterm delivery |
title_short | Data on clinical significance of second trimester inflammatory biomarkers in the amniotic fluid in predicting preterm delivery |
title_sort | data on clinical significance of second trimester inflammatory biomarkers in the amniotic fluid in predicting preterm delivery |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011160/ https://www.ncbi.nlm.nih.gov/pubmed/27626053 http://dx.doi.org/10.1016/j.dib.2016.08.030 |
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