Preeclampsia is an important health problem with a higher prevalence in the adolescent population. Furthermore, preeclampsia causes adverse maternal and neonatal outcomes. Newborns can be affected by preeclampsia, resulting in lower birth weight or Apgar score, the need for neonatal intensive care, or prematurity. All these complications are also associated with adolescent pregnancies, and together with preeclampsia, it can determine poorer neonatal outcomes. The aim of the study was to compare the neonatal outcomes of adolescents and adults with preeclampsia. We analyzed data on all the newborns of adolescents with preeclampsia (n=12) who delivered at the Department of Obstetrics and Gynecology of University Emergency Hospital in Bucharest between January 1, 2019, and December 31, 2019 and compared it with data from 12 aleatory newborns of adults diagnosed with preeclampsia. The prevalence of preeclampsia was higher in the adolescent population compared with the adult one. The weight of newborns was lower among adolescents with preeclampsia. There were no significant differences in Apgar scores between the two groups. Preterm delivery was more frequent in adolescent patients with preeclampsia. Preeclampsia is an additional risk factor for adolescent pregnancy, but it is also a severe materno-fetal complication for this population.
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http://dx.doi.org/10.25122/jml-2022-0264 | DOI Listing |
Eur J Obstet Gynecol Reprod Biol X
March 2025
Mother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
This review examines the emerging applications of machine learning (ML) and radiomics in the diagnosis and prediction of placenta accreta spectrum (PAS) disorders, addressing a significant challenge in obstetric care. It highlights recent advancements in ML algorithms and radiomic techniques that utilize medical imaging modalities like magnetic resonance imaging (MRI) and ultrasound for effective classification and risk stratification of PAS. The review discusses the efficacy of various deep learning models, such as nnU-Net and DenseNet-PAS, which have demonstrated superior performance over traditional diagnostic methods through high AUC scores.
View Article and Find Full Text PDFSurg Pract Sci
September 2023
Grey's Hospital, Pietermaritzburg, KwaZulu-Natal.
Background: Intestinal malrotation is a congenitally acquired condition of abnormally rotated proximal small bowel in neonates and infants. Prompt recognition prevents lifethreatening complications. A structured approach to diagnosing malrotation at UGIS is required for accurate diagnosis.
View Article and Find Full Text PDFSurg Pract Sci
June 2023
Faculty of Medicine, Department of Cardiothoracic Surgery, Hebrew University of Jerusalem, Shaare Zedek Medical Center, Jerusalem, Israel.
Introduction: The aim of this study was to evaluate the impact of minor trauma during pregnancy on maternal and fetal outcomes in patients managed in a tertiary setting.
Materials And Methods: A retrospective single centre case-controlled study was performed between 2005 and 2017 in a university affiliated tertiary obstetric and trauma centre. All pregnant women of 13-36 weeks gestation that presented to the department of emergency medicine with an Injury Severity Score of <9 were identified.
Cureus
December 2024
Orthopaedics and Traumatology, Universiti Putra Malaysia, Serdang, MYS.
Distal humerus physeal separation is an uncommon and often misdiagnosed injury in infants and young children, frequently resulting in delayed treatment. We report three cases of distal humerus physeal separation that presented with different clinical scenarios with different management approaches. The first case describes a nine-month-old girl who was initially treated for presumed elbow cellulitis before presentation to our centre six weeks later.
View Article and Find Full Text PDFEndocrinol Metab (Seoul)
January 2025
Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
Gestational diabetes mellitus (GDM) affects over 10% of all pregnancies, both in Korea and worldwide. GDM not only increases the risk of adverse pregnancy outcomes such as preeclampsia, preterm birth, macrosomia, neonatal hypoglycemia, and shoulder dystocia, but it also significantly increases the risk of developing postpartum type 2 diabetes mellitus and cardiovascular disease in the mother. Additionally, GDM is linked to a higher risk of childhood obesity and diabetes in offspring, as well as neurodevelopmental disorders, including autistic spectrum disorder.
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