Objective: To evaluate the positive predictive value (PPV) of group B Streptococcus (GBS) cultures at 35-37 weeks of gestation relative to GBS colonization status at delivery.
Methods: Rectovaginal swabs from 221 women at labor in four Lisbon hospitals were collected for GBS screening according to the CDC guidelines.
Results: The PPV was 24.4%. IAP was administered to 100% of prenatally GBS positive women. There was no case of early onset GBS disease (EOD).
Conclusions: Poor accuracy of prenatal cultures in identifying true candidates for IAP highlights the need for Portuguese clinical and laboratory guidelines to prevent EOD and antibiotic overtreatment of pregnant women.
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http://dx.doi.org/10.3109/14767058.2013.820700 | DOI Listing |
BMC Med Educ
December 2024
Department of Ultrasound, First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Shushan Hefei, Anhui, 230022, China.
Objective: This study aimed to explore the effectiveness of combining fetal heart sequential cross-sectional scanning with drawing methods, mind mapping, and case-based learning (CBL) for training in fetal conotruncal anomalies (CA) screening.
Method: An experimental control method was employed. Doctors participating in continuing fetal ultrasound education were randomly divided into two groups.
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.
BMC Pregnancy Childbirth
December 2024
Department of Obstetric Nursing, West China Second University Hospital, Sichuan University, No. 1416, Chenglonglu Avenue, Chengdu, Sichuan, Jinjiang District, 610066, China.
Background: Breastfeeding is the optimal source of nutrition for infants and young children, essential for their healthy growth and development. However, a gap in cohort studies tracking breastfeeding up to six months postpartum may lead caregivers to miss critical intervention opportunities.
Methods: This study conducted a three-wave prospective cohort analysis to examine maternal breastfeeding trajectories within the first six months postpartum and to develop risk prediction models for each period using advanced machine learning algorithms.
Int J Nanomedicine
December 2024
Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, People's Republic of China.
Purpose: Fetal nucleated red blood cells (fNRBCs) in the peripheral blood of pregnant women contain comprehensive fetal genetic information, making them an ideal target for non-invasive prenatal diagnosis (NIPD). However, challenges in identifying, enriching, and detecting fNRBCs limit their diagnostic potential.
Methods: To overcome these obstacles, we developed a novel biomimetic chip, replicating the micro-nano structure of red rose petals on polydimethylsiloxane (PDMS).
BMC Pregnancy Childbirth
December 2024
Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, 5612 AZ, North Brabant, The Netherlands.
This study aimed to predict preterm birth in nulliparous women using machine learning and easily accessible variables from prenatal visits. Elastic net regularized logistic regression models were developed and evaluated using 5-fold cross-validation on data from 8,830 women in the Nulliparous Pregnancy Outcomes Study: New Mothers-to-Be (nuMoM2b) dataset at three prenatal visits: - , - , and - weeks of gestational age (GA). The models' performance, assessed using Area Under the Curve (AUC), sensitivity, specificity, and accuracy, consistently improved with the incorporation of data from later prenatal visits.
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