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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...

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Autores principales: Vonck, Sharona, Staelens, Anneleen S., Lanssens, Dorien, Tomsin, Kathleen, Oben, Jolien, Bruckers, Liesbeth, Gyselaers, Wilfried
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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.
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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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