Objectives: To verify if episiotomy rate could be reduced without compromising materno-fetal well-being.
Material And Methods: This retrospective study was conducted between January 1 and December 31, 2010 in the maternity unit of the University Teaching Hospital Yaoundé (Cameroon). All cases of singletons in cephalic presentation with episiotomies done or not done during deliveries were recruited. Data were analyzed by means of SPSS 12.0. The Fisher's exact test was used for comparison. The level of significance was 0.05.
Results: We performed 163 episiotomies (9.6 %). Main indications were rigid perineum, fetal weight ≥3,500 g, prolonged second stage of labor, and instrumental deliveries; 82.2 % of patients were nullipara. Mean 5th minute Apgar score was 9.2. Short term maternal complications were mainly perineal pain. Among fetuses delivered with or without episiotomy, no case of early neonatal death was recorded.
Conclusions: The use of episiotomy can be reduced without increasing maternal and fetal morbidities.
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http://dx.doi.org/10.1007/s13224-012-0207-z | DOI Listing |
PLoS Med
January 2025
Université Paris Cité, Center of Research in Epidemiology and StatisticS/CRESS/Obstetrical Perinatal and Pediatric Epidemiology Research Team (EPOPé), INSERM, INRAE, Paris, France.
Background: The French guidelines have recommended a restrictive policy of episiotomy since 2005. We aimed to assess variations in the prevalence of both episiotomy and obstetric anal sphincter injury (OASI) from the 2010, 2016, and 2021 National Perinatal Surveys.
Methods And Findings: A total of 29,750 women who had given birth to a live infant by vaginal delivery were included.
Inflamm Bowel Dis
January 2025
Division of Gastroenterology, University of California, San Francisco, San Francisco, CA, USA.
Background: Women with inflammatory bowel disease (IBD) face complexities of disease management during pregnancy and childbirth. Apprehension regarding vaginal delivery in pregnant individuals with IBD persists due to concern for perianal disease and perineal trauma. The incidence of poor wound healing after obstetric anal sphincter injury is approximately 4% in the general population.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Clinical Nursing, School of Nursing and Public Health, The University of Dodoma, Dodoma, Tanzania.
Background: Female Genital Mutilation/Cutting (FGM/C) poses a significant public health challenge in developing countries, leading to increased risks of adverse obstetric outcomes such as caesarean section, postpartum hemorrhage, episiotomy, difficult labor, obstetric tears/lacerations, instrumental delivery, prolonged labor, and extended maternal hospital stays. The study aimed to determine the prevalence and factors associated with FGM/C among Tanzanian women who had given birth within five years preceding the Survey.
Method: This study utilized an analytical cross-sectional design based on data from the 2015-2016 Tanzania Demographic and Health Survey and Malaria Indicators Survey (TDHS-MIS).
Urogynecology (Phila)
December 2024
University of Pittsburgh, Pittsburgh, PA.
Importance: Wound complications after obstetric anal sphincter injury (OASI) can amplify morbidity and affect quality of life.
Objective: The objective of this study was to evaluate for characteristics associated with wound complications after OASI.
Study Design: This was a retrospective cohort study of patients with an OASI who were evaluated in a postpartum pelvic floor healing clinic between November 1, 2020, and May 16, 2023.
AJOG Glob Rep
February 2025
Mother and Child Welfare Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran (all authors).
Background: Episiotomy has specific indications that, if properly followed, can effectively prevent women from experiencing severe lacerations that may result in significant complications like anal incontinence. However, the risk factors related to episiotomy has been the center of much debate in the medical field in the past few years.
Objective: The present study used a machine learning model to predict the factors that put women at the risk of having episiotomy using intrapartum data.
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