Personal experience of a case of placenta praevia and accreta is reported. In agreement with other authorities, it is thought that since the condition is not immediately apparent, it should always be suspected when hemorrhaging occurs in the 7th-9th month of pregnancy. It is also confirmed that rapid diagnosis and radical treatment will generally prevent serious problems.
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Clin Obstet Gynecol
March 2025
Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, NYU Langone Health, New York, NY.
Vasa previa is an abnormality of the umbilical cord and fetal membranes that affects ∼1 in 1300 pregnancies. The diagnosis is made by visualization of velamentous fetal vessels coursing within the membranes over the cervix unprotected by Wharton jelly or placenta. When it is not diagnosed prenatally, it is associated with a high risk of fetal death.
View Article and Find Full Text PDFArch Gynecol Obstet
January 2025
Department of Obstetrics & Gynecology, University of Tabuk, Tabuk, Saudi Arabia.
Purpose: We explored the effect of beta-thalassemia major on pregnancy and delivery outcomes in non-endemic area, utilizing USA population database.
Methods: This is a retrospective study utilizing data from the Healthcare Cost and Utilization Project-Nationwide Inpatient Sample. A cohort of all deliveries between 2011 and 2014 was created using ICD-9 codes.
J Assist Reprod Genet
January 2025
Department of Assisted Reproduction, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Rd, Shanghai, 200011, China.
Purpose: To investigate the impact of first-trimester COVID-19 infection on the perinatal and obstetric outcomes following in vitro fertilization-frozen embryo transfer.
Methods: This retrospective study was conducted at a university-affiliated IVF center. The infection group included women who contracted SARS-CoV-2 during the first trimester following frozen embryo transfer in China's initial pandemic wave that occurred from 7 December 2022 to 7 January 2023.
Twin Res Hum Genet
January 2025
Necmettin Erbakan University Medical School of Meram, Department of Obstetrics and Gynecology, Division of Fetal and Maternal Medicine, Konya, Turkey.
This study aimed to create a risk prediction model with artificial intelligence (AI) to identify patients at higher risk of postpartum hemorrhage using perinatal characteristics that may be associated with later postpartum hemorrhage (PPH) in twin pregnancies that underwent cesarean section. The study was planned as a retrospective cohort study at University Hospital. All twin cesarean deliveries were categorized into two groups: those with and without PPH.
View Article and Find Full Text PDFInt J Gynaecol Obstet
January 2025
Department of Obstetrics and Gynecology, The First Affiliate Hospital of Jinan University, Jinan University, Guangzhou, China.
Objectives: To develop and validate a nomogram to predict severe postpartum hemorrhage following cesarean delivery.
Methods: This is a two-center retrospective cohort study. Cesarean delivery patients from the First Affiliate Hospital of Jinan University were divided into a development cohort (n = 11 137) and an internal validation cohort (n = 4739).
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