Objective: To detect the expression level of plasma human placental prolactin(hPL) messenger RNA(mRNA) in patients with pernicious placenta previa(PPP), and to analyze its predictive value for postpartum hemorrhage. Methods: From February 2016 to September 2020, 225 patients with PPP and 203 healthy pregnant women were selected as disease group and control group. The plasma level of hPL mRNA expression was detected by Northern blot. The levels of plasma hPL mRNA expression and the incidence of postpartum hemorrhage were compared between the two groups. Logistic regression analysis was used to explore the relationship between plasma level of hPL mRNA expression and postpartum hemorrhage in the disease group. Receiver operating characteristic(ROC) curve was drawn to analyze its predictive value for postpartum hemorrhage in the disease group. Results: The plasma level of hPL mRNA expression and the incidence of postpartum hemorrhage in the disease group were higher than those in the control group(P<0.001). Age≥35 years old, pre pregnancy body mass index(BMI)>25 kg·m-2, multiple induced abortion, type Ⅲof placenta implantation, placental adhesion, pregnancy induced hypertension, macrosomia, birth canal injury, plasma level of hPL mRNA expression were risk factors of postpartum hemorrhage in disease group(P<0.05). After adjusting for age, pre pregnancy BMI and abortion history, type Ⅲof placenta implantation, placental adhesion, pregnancy induced hypertension, macrosomia, birth canal injury and plasma level of hPL mRNA expression were still independent risk factors for postpartum hemorrhage in the disease group(P<0.05). The sensitivity, specificity and area under the curve of plasma level of hPL mRNA expression in predicting postpartum hemorrhage in disease group were 84.78%, 81.82% and 0.876, respectively. Conclusion: PPP patients have high plasma level of hPL mRNA expression and high incidence of postpartum hemorrhage. Plasma level of hPL mRNA expression is the influencing factor of patients with postpartum hemorrhage, and it has high prediction efficiency for PPP complicated with postpartum hemorrhage. |
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