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Prenatal Plasma Fibrinogen Level Predicts Postpartum Hemorrhage of Patients With HELLP Syndrome

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Publisher Sage Publications
Date 2020 Feb 5
PMID 32013532
Citations 2
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Abstract

emolysis, levated iver enzymes, and ow latelets (HELLP) syndrome is a serious complication of pregnancy. Postpartum hemorrhage indicates poor prognosis of pregnant women with HELLP syndrome. The aim of our study is to investigate the predictive value of coagulation markers for postpartum hemorrhage of pregnant women with HELLP syndrome. In a retrospective cohort study, 106 patients who were diagnosed as pregnant women with HELLP syndrome in Peking University Third Hospital from August 2010 to January 2017 were analyzed. The demographic characters of maternal and fetus, days of hospital stay, postpartum complications, and the laboratory tests of coagulation markers within 3 days before delivery were collected. In addition, 100 healthy pregnant women were collected as a control group. The result showed that the incidence of preeclampsia in pregnant women with postpartum hemorrhage was higher than that in pregnant women without hemorrhage ( = .011). The level of fibrinogen (FIB) in postpartum hemorrhage pregnant women with HELLP syndrome was lower than that in nonpostpartum hemorrhage pregnant women with HELLP syndrome and healthy pregnant women (2.3 [1.68-2.81] vs 3.64 ± 0.95, = .000; 2.3 [1.68-2.81] vs 4.48 ± 0.62, = .000). Multivariate analysis showed that decreased FIB levels independently predicted the postpartum hemorrhage of pregnant women with HELLP syndrome (odds ratio = 7.374, 95% confidence interval [CI], 1.551-35.05, = .012). The receiver operating characteristic curve showed that the area under the curve of FIB level when predicting postpartum hemorrhage is 0.841 (95% CI, 0.708-0.976). When the cutoff value of FIB was 3.04 g/L, the sensitivity was 90.90% and the specificity was75.80%. Therefore, the low level of prenatal FIB is a reliable biomarker to predict postpartum hemorrhage of pregnant women with HELLP syndrome, which make it useful for pregnant women with HELLP syndrome in guiding surveillance therapy and prognosis assessment.

Citing Articles

Accuracy of machine learning and traditional statistical models in the prediction of postpartum haemorrhage: a systematic review.

Baeta T, Rocha A, Oliveira J, Couto da Silva A, Reis Z BMJ Open. 2025; 15(3):e094455.

PMID: 40032385 PMC: 11877273. DOI: 10.1136/bmjopen-2024-094455.


Association Between Laboratory Coagulation Parameters and Postpartum Hemorrhage in Preterm and Term Caesarean Section: A Retrospective Analysis.

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Clinical Classification, Pregnancy Outcomes and Risk Factors Analysis of Severe Preeclampsia Complicated With HELLP Syndrome.

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