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DOI 10.12659/msm.944104

Медицинская библиотека · Medical science monitor : international medical journal of experimental and clinical research · 2024

Biomarkers for Early Prediction and Management of Preeclampsia: A Comprehensive Review.

Tomkiewicz Julia, Darmochwał-Kolarz Dorota A

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Аннотация

Preeclampsia is a common complication of pregnancy. It is a multi-organ disorder that remains one of the main causes of maternal morbidity and mortality. Additionally, preeclampsia leads to many complications that can occur in the fetus or newborn. Preeclampsia occurs in about 1 in 20 pregnant women. This review focuses on the prediction of preeclampsia in women, using various biomarkers, in particular, a factor combining the use of soluble FMS-like tyrosinokinase-1 (sFlt-1) and placental growth factor (PlGF). A low value of the sFlt-1/PlGF ratio rules out the occurrence of preeclampsia within 4 weeks of the test result, and its high value predicts the occurrence of preeclampsia within even 1 week. The review also highlights other factors, such as pregnancy-associated plasma protein A, placental protein 13, disintegrin and metalloprotease 12, ß-human chorionic gonadotropin, inhibin-A, soluble endoglin, nitric oxide, and growth differentiation factor 15. Biomarker testing offers reliable and cost-effective screening methods for early detection, prognosis, and monitoring of preeclampsia. Early diagnosis in groups of women at high risk for preeclampsia allows for quick intervention, preventing the undesirable effects of preeclampsia. However, further research is needed to validate and optimize the use of biomarkers for more accurate prediction and diagnosis. This article aims to review the role of biomarkers, including the sFlt1/PlGF ratio, in the prognosis and management of preeclampsia.

Для цитирования: Tomkiewicz Julia, Darmochwał-Kolarz Dorota A. Biomarkers for Early Prediction and Management of Preeclampsia: A Comprehensive Review.. Medical science monitor : international medical journal of experimental and clinical research. 2024. DOI: 10.12659/msm.944104.

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