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Pre-eclampsia remains a major cause of morbidity and mortality in pregnant women, as well in their newborns (1). Despite intense study, preeclampsia remains poorly understood and a major cause of maternal and foetal morbidity and mortality. It's clear that vascular endothelial dysfunction, which may lead to hypertension by imbalance between vasoactive, and vasodilator agents, is an important component of this disorder. The induction of endothelial dysfunction is probably multifactorial (2). Some researchers suggested that hereditary and acquired thrombophilia has been associated with recurrent pregnancy loss and gestational vascular complications, such as early-onset pre-eclampsia and placental abruption (3). Despite it is widely known that pregnancy induces a state of hypercoagulability (4), publications failed to demonstrate a uniform pattern of pathology that can carry the association between thrombophilia and adverse pregnancy outcomes, as between factor V Leiden mutation, MTHFR C677T mutation, G20210A Prothrombin gene mutation, Anti-thrombin III deficiency, Protein C,S deficiency and other causes of thrombophilia, different researchers claimed different causes of the previously mentioned as the one responsible for maternal thrombophilia (2, 3, 5). Others claimed racial variations were associated with the state of thrombophilia (6).
Other than standard routine and specific tests, various other methods are used to record coagulation profile. One of them is estimation by sonoclot, which is a viscoelastic hemostatic assays device (7). Sonoclot have practical advantages as point-of-care device for monitoring major hemorrhage including a set of parameters that assesses a global coagulation profile and can indicate the presence of hypercoagulable state (8). Establishing correlations between Sonoclot parameters and conventional hemostasis assays could open a path of better monitoring of patients with suspected coagulopathies, and can be helpful in guiding management of preeclampsia and preventing severe maternal outcomes (7).
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Mennatallah Nashat Abd El-Hafiz Ali, Master
Data sourced from clinicaltrials.gov
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