期刊
INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS
卷 156, 期 1, 页码 89-94出版社
WILEY
DOI: 10.1002/ijgo.13616
关键词
hysteroscopic adhesiolysis; intrauterine adhesions; obstetric outcomes; placenta accreta
资金
- National Key Research and Development Program [2018YFC1004800]
- National Natural Science Foundation of China [81871209]
- Provincial and Ministerial Construction Project of Zhejiang Province [2017 WKJ-ZJ-1721]
Menstrual pattern and gestational history may be main predictive factors for pregnancy loss in pregnant women who previously underwent hysteroscopic adhesiolysis. The extent of cavity involved and times of adhesive separation surgeries were associated with placenta accreta.
Objective To investigate the factors influencing placenta accreta in pregnant women who previously underwent hysteroscopic adhesiolysis (HA). Methods This retrospective study enrolled 265 women with intrauterine adhesions (IUAs) at the Sir Run Run Shaw Hospital from January 2014 to December 2018. We followed up their pregnancy outcomes and maternal complications. Results The menstrual pattern and gestational history before operation were significantly different between the live birth and pregnancy loss groups. The age, extent of cavity involved, type of adhesions, times of adhesiolysis performed, and time interval from surgery to pregnancy were not significantly different between these two groups. In the third trimester, 48 of 140 patients had 53 perinatal complications, including placenta accreta (27), gestational diabetes mellitus (10), pregnancy-induced hypertension (6), postpartum hemorrhage (4), intrahepatic cholestasis of pregnancy (2), placenta previa (1), oligohydramnios (1), and intrauterine growth restriction (1). Logistic regression analysis showed that extent of cavity involved and times of adhesiolysis performed were associated with placenta accreta. Conclusion The extent of cavity involved and times of adhesive separation surgeries were risk factors for placenta accreta in patients. The menstrual model and gestational history may provide the main predictive factors for pregnancy loss.
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