Eighty pregnant women at high risk of giving birth prematurely were divided randomly into two groups. Treatment with either 17 alpha-hydroxyprogesterone caproate, 250 mg by intramuscular injection once a week, or a placebo was given in a double-blind fashion. Imminent premature labor occurred in 29.0% of the treated group and in 59.4% of the control group (p less than 0.025). The rate of premature deliveries was also significantly lower in the treated group (16.1%) than in the control group (37.82%) (p less than 0.05). There were no cases of perinatal death or fetal malformations in either group. The mean birth weight of all infants of the treated group was significantly higher than in those of the control group (3111.9 +/- 905 gm versus 2680 +/- 813.4 gm, p less than 0.05). The results support treatment with progesterone caproate for the prevention of premature labor.
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http://dx.doi.org/10.1016/0002-9378(85)90141-3 | DOI Listing |
BMJ Open
January 2025
Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
Objectives: How are socioeconomic inequalities modified by, or how do they interact with, preterm birth?
Design: Narrative systematic review of quantitative observational studies of an interaction, or effect modification, between preterm birth and socioeconomic status.
Data Sources: Five databases were searched for studies published between January 2000 and June 2020. Title and abstract were reviewed to identify articles for dual screening.
Br J Hosp Med (Lond)
January 2025
Department of Obstetrics and Gynecology, The First Clinical Medical College of Three Gorges University, Yichang Central People's Hospital, Yichang, Hubei, China.
Gestational diabetes mellitus (GDM) is a common complication during pregnancy. This retrospective study investigates the correlation between umbilical blood flow index and maternal-fetal outcomes in pregnant women with GDM, aiming to contribute to evidence-based risk assessment and management strategy in this high-risk obstetric population. This retrospective study recruited 119 pregnant women with GDM who were admitted to the Yichang Central People's Hospital, between January 2022 and January 2024.
View Article and Find Full Text PDFPharmaceuticals (Basel)
December 2024
Department of Clinical and Community Pharmacy, Faculty of Pharmacy, University of Surabaya, Surabaya 60293, Indonesia.
Intra-amniotic infection (IAI), also known as chorioamnionitis, is a major cause of maternal and neonatal infection that occurs during pregnancy, labor and delivery, or in the postpartum period. Conditions such as meconium-stained amniotic fluid (MSAF) and premature rupture of membranes (PROMs) are recognized risk factors for amniotic fluid infection. This study identifies the microbial patterns in the amniotic fluid of women with PROMs and MSAF to determine the presence and types of bacterial growth.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Emergency, Hainan Clinical Research Center for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, 570100, China.
Background: Due to climate change, the frequency and intensity of heat waves and other extreme weather events are rapidly increasing. Compared to the general population, pregnant women and fetuses are increasingly vulnerable to the effects of extreme temperatures and are associated with the occurrence of adverse birth outcomes, including preterm birth (PTB). However, its risk of preterm birth is currently uncertain.
View Article and Find Full Text PDFLancet Child Adolesc Health
February 2025
The Royal Women's Hospital, Melbourne, VIC, Australia; Department of Obstetrics, Gynaecology and Newborn Health, The University of Melbourne, Melbourne, VIC, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia.
In this Viewpoint, we discuss the challenges facing perinatal clinical researchers, many of which are unique to this field, and how traditional two-arm randomised trials using frequentist analysis might no longer be fit for purpose for perinatology. We propose a solution: the adoption of adaptive platform trials (APTs) with Bayesian methodology to address perinatal research questions to improve outcomes of preterm birth. APTs use a master protocol as a foundation to efficiently assess multiple interventions simultaneously for a particular disease.
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