Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/45841
Title: Maternal hemodynamics assessment: Key to unlocking ignored functionalities of the female circulation
Authors: GYSELAERS, Wilfried 
DREESEN, Pauline 
Issue Date: 2025
Publisher: ELSEVIER SCI LTD
Source: Best practice & research. Clinical obstetrics & gynaecology, 99 (Art N° 102595)
Abstract: This chapter focuses on currently underappreciated aspects of the maternal circulation: blood pressure phenotypes, venous hemodynamics, intra-abdominal pressure, and body water homeostasis. Based on the hemodynamic balance between cardiac output and total peripheral resistance, flow-dominant and resistance-dominant phenotypes of normotension and hypertension exist, with different impacts on gestational outcome. Cardiac diastolic function and venous hemodynamics play a prominent role in gestational changes in cardiac output. An increase in intraabdominal pressure during pregnancy interferes with body water volume homeostasis, similar to syndromes of multi-organ dysfunctions in non-pregnant individuals. Today, non-invasive maternal hemodynamics assessment allows for obtaining important information on these ignored circulatory functions in addition to conventional sphygmomanometric blood pressure measurement. This offers perspectives to improve current strategies for screening, diagnosis, and management of gestational hypertension disorders, a path, however, to be paved first by intensified multifaceted and multidisciplinary research.
Notes: Dreesen, P (corresponding author), Hasselt Univ, Fac Med & Life Sci, Limburg Clin Res Ctr, B-3590 Diepenbeek, Belgium.
wilfried.gyselaers@zol.be; pauline.dreesen@uhasselt.be
Keywords: Maternal hemodynamics;Cardiac output;Total peripheral resistance;Pre-eclampsia;Fetal growth restriction;Venous hemodynamics
Document URI: http://hdl.handle.net/1942/45841
ISSN: 1521-6934
e-ISSN: 1532-1932
DOI: 10.1016/j.bpobgyn.2025.102595
ISI #: 001450661500001
Rights: 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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