Introduction: We aimed to investigate the association between perinatal outcomes and placental pathological features in pregnant women with ACTD, including systemic lupus erythematosus (SLE), antiphospholipid antibody syndrome (APS), and undifferentiated connective tissue disease (UCTD).
Materials And Methods: Placental tissue from SLE (n = 44), APS (n = 45), and UCTD (n = 45) were included, and contemporaneous deliveries of placenta were served as a control group (n = 46) between September 2015 and March 2021. The placental histopathology was evaluated using the Manual of Human Placental Pathology and classified according to the Amsterdam consensus framework.
Results: SLE pregnant women have a higher rate of cesarean section (61.40%), premature birth (24.56%), and SGA (26.32%) when compared to control group (p = 0.008, p = 0.005, and p = 0.000, respectively). The rate of vascular malperfusion, inflammatory-immune lesions, and other placental lesions in the SLE group was 47.73%, 56.82%, and 63.64%, which were higher than the control group (p = 0.000, p = 0.000, and p = 0.006, respectively). In the meantime, the incidence of inflammatory-immune lesions in the APS group (42.22%, p = 0.004) and vascular malperfusion in the UCTD group (37.78%, p = 0.007) were increased when compared to the control group.
Conclusions: SLE appeared to confer increased risk for a wide range of adverse perinatal outcomes. We determined elevated placental histopathology risk for most women with ACTD, including vascular maldevelopment, vascular malperfusion, and inflammatory-immune lesions.
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http://dx.doi.org/10.1111/aji.13914 | DOI Listing |
Arch Womens Ment Health
January 2025
Department of Psychology, University of Wisconsin-Madison, 1202 W. Johnson St, Madison, WI, 53706, USA.
Purpose: Given the lack of available and effective interventions to address the detrimental consequences of perinatal exposure to intimate partner violence (IPV) on maternal mental health, and reported very low access to IPV-related mental health services in Mexico, we examined the feasibility and efficacy of a culturally adapted, virtual, brief group psychosocial intervention designed to improve maternal mental and physical health and reduce IPV revictimization for pregnant women exposed to IPV. In this pilot randomized controlled trial, we evaluated maternal outcomes after participation in the Pregnant Moms' Empowerment Program (PMEP) in Mexico.
Methods: Women were recruited from social service agencies and health centers in the community, as well as social media advertisements that targeted pregnant women living in Mexico.
Aust N Z J Obstet Gynaecol
January 2025
Royal Hospital for Women, Sydney, Australia.
Objective: This study aims to investigate the psychological characteristics, motivations and experiences of potential living donors assessed for the first uterus transplant (UTx) clinical trial in Australia.
Design: Mixed methods study.
Setting: Tertiary hospital.
BJOG
January 2025
National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Objective: To assess the cost-effectiveness of modifying current antenatal screening by adding first trimester structural anomaly screening to standard of care second trimester anomaly screening.
Design: Health economic decision model.
Setting: National Health Service (NHS) in England and Wales.
Int J Nurs Stud Adv
June 2025
Department of Neurology, Affiliated Hospital of Zunyi Medical University, Guizhou, , 56300, China.
Background: Epilepsy is one of the most common neurological conditions affecting women of reproductive age. Epilepsy management during pregnancy is a clinical conundrum, requiring a balance between seizure control and risk minimization for women with epilepsy, as well as for their fetuses.
Objective: In this review, we aimed to systematically search, evaluate, and summarize relevant evidence on perinatal fertility guidance for women with epilepsy to provide a basis for medical staff to offer comprehensive fertility counseling.
Cureus
December 2024
Obstetrics and Gynecology, ESI Hospital and Postgraduate Institute of Medical Sciences and Research (PGIMER) Basaidarapur, New Delhi, IND.
Preeclampsia is one of the leading causes of maternal and perinatal morbidity and mortality. Early prediction is the need of the hour so that interventions like aspirin prophylaxis can be started. Nowadays, machine learning (ML) is increasingly being used to predict the disease and its prognosis.
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