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Development of a biophysical screening model for gestational hypertensive diseases
BACKGROUND: To investigate the possibility of using maternal biophysical parameters only in screening for the different types of gestational hypertensive diseases. METHODS: A total of 969 pregnant women were randomly screened in first and second trimester, of which 8 developed Early-onset Preeclamps...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528347/ https://www.ncbi.nlm.nih.gov/pubmed/31109316 http://dx.doi.org/10.1186/s12929-019-0530-0 |
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author | Vonck, Sharona Staelens, Anneleen S. Lanssens, Dorien Tomsin, Kathleen Oben, Jolien Bruckers, Liesbeth Gyselaers, Wilfried |
author_facet | Vonck, Sharona Staelens, Anneleen S. Lanssens, Dorien Tomsin, Kathleen Oben, Jolien Bruckers, Liesbeth Gyselaers, Wilfried |
author_sort | Vonck, Sharona |
collection | PubMed |
description | BACKGROUND: To investigate the possibility of using maternal biophysical parameters only in screening for the different types of gestational hypertensive diseases. METHODS: A total of 969 pregnant women were randomly screened in first and second trimester, of which 8 developed Early-onset Preeclampsia, 29 Late-onset Preeclampsia, 35 Gestational Hypertension and 897 women had a normal outcome. An observational maternal hemodynamics assessment was done via standardized electrocardiogram-Doppler ultrasonography, Impedance Cardiography and bio-impedance, acquiring functional information on heart, arteries, veins and body fluid. Preliminary prediction models were developed to test the screening potential for early preeclampsia, late preeclampsia and gestational hypertension using a Partial Least Square Discriminant Analysis. RESULTS: A combined model using maternal characteristics with cardiovascular parameters in first and second trimester offers high screening performance with Area Under the Curve of 99,9% for Early-onset Preeclampsia, 95,3% for Late-onset Preeclampsia and 94% for Gestational Hypertension. CONCLUSIONS: Using biophysical parameters as fundament for a new prediction model, without the need of biochemical parameters, seems feasible. However, validation in a large prospective study will reveal its true potential. |
format | Online Article Text |
id | pubmed-6528347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65283472019-05-28 Development of a biophysical screening model for gestational hypertensive diseases Vonck, Sharona Staelens, Anneleen S. Lanssens, Dorien Tomsin, Kathleen Oben, Jolien Bruckers, Liesbeth Gyselaers, Wilfried J Biomed Sci Research BACKGROUND: To investigate the possibility of using maternal biophysical parameters only in screening for the different types of gestational hypertensive diseases. METHODS: A total of 969 pregnant women were randomly screened in first and second trimester, of which 8 developed Early-onset Preeclampsia, 29 Late-onset Preeclampsia, 35 Gestational Hypertension and 897 women had a normal outcome. An observational maternal hemodynamics assessment was done via standardized electrocardiogram-Doppler ultrasonography, Impedance Cardiography and bio-impedance, acquiring functional information on heart, arteries, veins and body fluid. Preliminary prediction models were developed to test the screening potential for early preeclampsia, late preeclampsia and gestational hypertension using a Partial Least Square Discriminant Analysis. RESULTS: A combined model using maternal characteristics with cardiovascular parameters in first and second trimester offers high screening performance with Area Under the Curve of 99,9% for Early-onset Preeclampsia, 95,3% for Late-onset Preeclampsia and 94% for Gestational Hypertension. CONCLUSIONS: Using biophysical parameters as fundament for a new prediction model, without the need of biochemical parameters, seems feasible. However, validation in a large prospective study will reveal its true potential. BioMed Central 2019-05-20 /pmc/articles/PMC6528347/ /pubmed/31109316 http://dx.doi.org/10.1186/s12929-019-0530-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Vonck, Sharona Staelens, Anneleen S. Lanssens, Dorien Tomsin, Kathleen Oben, Jolien Bruckers, Liesbeth Gyselaers, Wilfried Development of a biophysical screening model for gestational hypertensive diseases |
title | Development of a biophysical screening model for gestational hypertensive diseases |
title_full | Development of a biophysical screening model for gestational hypertensive diseases |
title_fullStr | Development of a biophysical screening model for gestational hypertensive diseases |
title_full_unstemmed | Development of a biophysical screening model for gestational hypertensive diseases |
title_short | Development of a biophysical screening model for gestational hypertensive diseases |
title_sort | development of a biophysical screening model for gestational hypertensive diseases |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528347/ https://www.ncbi.nlm.nih.gov/pubmed/31109316 http://dx.doi.org/10.1186/s12929-019-0530-0 |
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