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Prediction of preeclampsia using a combination of serum micro RNA-210 and uterine artery Doppler ultrasound

The objective was to determine whether a combination of serum micro RNA-210 level and uterine artery Doppler can predict preeclampsia in pregnant women at 16–24 weeks gestation. A prospective observational study conducted in singleton pregnant women at 16–24 weeks of gestation who had prenatal care...

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Autores principales: Trongpisutsak, Ananya, Phupong, Vorapong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450716/
https://www.ncbi.nlm.nih.gov/pubmed/34432986
http://dx.doi.org/10.1177/00368504211036856
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author Trongpisutsak, Ananya
Phupong, Vorapong
author_facet Trongpisutsak, Ananya
Phupong, Vorapong
author_sort Trongpisutsak, Ananya
collection PubMed
description The objective was to determine whether a combination of serum micro RNA-210 level and uterine artery Doppler can predict preeclampsia in pregnant women at 16–24 weeks gestation. A prospective observational study conducted in singleton pregnant women at 16–24 weeks of gestation who had prenatal care at the King Chulalongkorn Memorial Hospital, Department of Obstetrics and Gynecology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand between 2017 and 2018. Uterine artery Doppler ultrasound and blood testing for serum micro RNA-210 were performed. Pregnancy outcomes were recorded. Optimal cut-off for uterine artery pulsatility index (PI) and serum micro RNA-210 were obtained to calculate the predictive values for preeclampsia. Data from 443 participants were analyzed. Twenty-two cases developed preeclampsia (5.0%) and seven of these preeclamptic cases had early-onset preeclampsia (1.6%). Pregnant women with preeclampsia had higher mean PI of the uterine artery (1.34 ± 0.52 vs 0.98 ± 0.28, p = 0.004), higher detection rates of diastolic notching (45.5% vs 11.2%, p < 0.001), and lower median serum micro RNA-210 level (22.86 vs 795.78, p < 0.001) than pregnant women without preeclampsia. Using abnormal serum micro RNA-210 level, abnormal mean PI or uterine artery diastolic notches to predict for preeclampsia, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 95.5%, 54.9%, 10.0%, and 99.6%, respectively. For early-onset preeclampsia prediction, the sensitivity, specificity, PPV, and NPV were 100.0%, 53.2%, 3.3%, and 100.0%, respectively. This study demonstrated that a combination of serum micro RNA-210 and uterine artery Doppler is effective in predicting preeclampsia in the second trimester.
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spelling pubmed-104507162023-08-26 Prediction of preeclampsia using a combination of serum micro RNA-210 and uterine artery Doppler ultrasound Trongpisutsak, Ananya Phupong, Vorapong Sci Prog Article The objective was to determine whether a combination of serum micro RNA-210 level and uterine artery Doppler can predict preeclampsia in pregnant women at 16–24 weeks gestation. A prospective observational study conducted in singleton pregnant women at 16–24 weeks of gestation who had prenatal care at the King Chulalongkorn Memorial Hospital, Department of Obstetrics and Gynecology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand between 2017 and 2018. Uterine artery Doppler ultrasound and blood testing for serum micro RNA-210 were performed. Pregnancy outcomes were recorded. Optimal cut-off for uterine artery pulsatility index (PI) and serum micro RNA-210 were obtained to calculate the predictive values for preeclampsia. Data from 443 participants were analyzed. Twenty-two cases developed preeclampsia (5.0%) and seven of these preeclamptic cases had early-onset preeclampsia (1.6%). Pregnant women with preeclampsia had higher mean PI of the uterine artery (1.34 ± 0.52 vs 0.98 ± 0.28, p = 0.004), higher detection rates of diastolic notching (45.5% vs 11.2%, p < 0.001), and lower median serum micro RNA-210 level (22.86 vs 795.78, p < 0.001) than pregnant women without preeclampsia. Using abnormal serum micro RNA-210 level, abnormal mean PI or uterine artery diastolic notches to predict for preeclampsia, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 95.5%, 54.9%, 10.0%, and 99.6%, respectively. For early-onset preeclampsia prediction, the sensitivity, specificity, PPV, and NPV were 100.0%, 53.2%, 3.3%, and 100.0%, respectively. This study demonstrated that a combination of serum micro RNA-210 and uterine artery Doppler is effective in predicting preeclampsia in the second trimester. SAGE Publications 2021-08-25 /pmc/articles/PMC10450716/ /pubmed/34432986 http://dx.doi.org/10.1177/00368504211036856 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Article
Trongpisutsak, Ananya
Phupong, Vorapong
Prediction of preeclampsia using a combination of serum micro RNA-210 and uterine artery Doppler ultrasound
title Prediction of preeclampsia using a combination of serum micro RNA-210 and uterine artery Doppler ultrasound
title_full Prediction of preeclampsia using a combination of serum micro RNA-210 and uterine artery Doppler ultrasound
title_fullStr Prediction of preeclampsia using a combination of serum micro RNA-210 and uterine artery Doppler ultrasound
title_full_unstemmed Prediction of preeclampsia using a combination of serum micro RNA-210 and uterine artery Doppler ultrasound
title_short Prediction of preeclampsia using a combination of serum micro RNA-210 and uterine artery Doppler ultrasound
title_sort prediction of preeclampsia using a combination of serum micro rna-210 and uterine artery doppler ultrasound
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450716/
https://www.ncbi.nlm.nih.gov/pubmed/34432986
http://dx.doi.org/10.1177/00368504211036856
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