Development of a biophysical screening model for gestational hypertensive diseases
Abstract 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 Pre...
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| Format: | Article |
| Language: | English |
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BMC
2019-05-01
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| Series: | Journal of Biomedical Science |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12929-019-0530-0 |
| _version_ | 1817995216696639488 |
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| author | Sharona Vonck Anneleen S. Staelens Dorien Lanssens Kathleen Tomsin Jolien Oben Liesbeth Bruckers Wilfried Gyselaers |
| author_facet | Sharona Vonck Anneleen S. Staelens Dorien Lanssens Kathleen Tomsin Jolien Oben Liesbeth Bruckers Wilfried Gyselaers |
| author_sort | Sharona Vonck |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-14T02:02:41Z |
| format | Article |
| id | doaj.art-a20eeb68de474b00ac36832821ca9bdb |
| institution | Directory Open Access Journal |
| issn | 1423-0127 |
| language | English |
| last_indexed | 2024-04-14T02:02:41Z |
| publishDate | 2019-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Biomedical Science |
| spelling | doaj.art-a20eeb68de474b00ac36832821ca9bdb2022-12-22T02:18:46ZengBMCJournal of Biomedical Science1423-01272019-05-012611910.1186/s12929-019-0530-0Development of a biophysical screening model for gestational hypertensive diseasesSharona Vonck0Anneleen S. Staelens1Dorien Lanssens2Kathleen Tomsin3Jolien Oben4Liesbeth Bruckers5Wilfried Gyselaers6Faculty of Medicine and Life Sciences, Hasselt UniversityDepartment of Obstetrics & Gynaecology, Ziekenhuis Oost-LimburgFaculty of Medicine and Life Sciences, Hasselt UniversityDepartment of Obstetrics & Gynaecology, Ziekenhuis Oost-LimburgDepartment of Obstetrics & Gynaecology, Ziekenhuis Oost-LimburgInteruniversity Institute for Biostatistics and statistical Bioinformatics, Hasselt UniversityFaculty of Medicine and Life Sciences, Hasselt UniversityAbstract 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.http://link.springer.com/article/10.1186/s12929-019-0530-0Gestational hypertensive diseasesHypertensionPreeclampsiaScreeningBiophysical parametersPrediction |
| spellingShingle | Sharona Vonck Anneleen S. Staelens Dorien Lanssens Kathleen Tomsin Jolien Oben Liesbeth Bruckers Wilfried Gyselaers Development of a biophysical screening model for gestational hypertensive diseases Journal of Biomedical Science Gestational hypertensive diseases Hypertension Preeclampsia Screening Biophysical parameters Prediction |
| 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 | Gestational hypertensive diseases Hypertension Preeclampsia Screening Biophysical parameters Prediction |
| url | http://link.springer.com/article/10.1186/s12929-019-0530-0 |
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