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DOI: 10.1055/a-2689-2550
Noninvasive Maternal–Fetal Hemodynamic Monitoring as A Predictor of Severe Preeclampsia in Low-Resource Settings: A Case Report
Authors
Abstract
Preeclampsia is a multiorgan vascular disease complicating approximately 8.5 million pregnancies worldwide annually and is a leading cause of maternal and neonatal mortality. The impact is especially severe in Latin America, where maternal deaths attributable to preeclampsia are 2.5 times higher than in any other region. Bolivia is particularly affected due to economic and environmental challenges, including high altitude, which increases the risk of fetal growth restriction and hypertensive disorders of pregnancy. Early and accessible diagnostic tools are required to maximize patient care and improve reproductive outcomes in limited-resource settings. This report details a case from Bolivia of rapid-onset severe preeclampsia with liver rupture in the third trimester; the patient required multiple surgical interventions for recurrent liver bleeding and extended hospitalization in the intensive care unit (ICU). She delivered a preterm, growth-restricted infant with signs of acute hypoxia by emergency cesarean section. Notably, 2 weeks before ICU admission, abnormal uterine artery and maternal hemodynamic measurements were detected, without other signs of preeclampsia. The patient had previously been healthy and was considered low risk. Both mother and newborn survived. This case underscores the value of combining uterine artery Doppler with maternal hemodynamics to identify high-risk pregnancies early and prevent life-threatening complications.
Data Availability
Primary data files and images contain protected health information and are therefore restricted due to patient privacy. Deidentified data values without identifying information may be provided upon request.
Publication History
Received: 09 July 2025
Accepted: 11 August 2025
Article published online:
05 September 2025
© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
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