Search

The COVID-19 pandemic has posed significant risks to pregnant women and those recently pregnant, leading to heightened mortality and morbidity rates. Vaccination has emerged as a pivotal strategy in reducing COVID-19-related deaths and illnesses worldwide. However, the initial exclusion of pregnant individuals from most clinical trials raised concerns about vaccine safety in this population, contributing to vaccine hesitancy. This review aims to consolidate the existing literature to assess the safety and efficacy of COVID-19 vaccination in pregnant populations and neonatal outcomes. Diverse studies were included evaluating various aspects of safety for women and their newborns, encompassing mild to severe symptoms across different vaccines. The findings indicate the overall safety and efficacy of COVID-19 vaccination, with minimal adverse outcomes observed, including mild side effects like pain and fever. Although most studies reported the absence of severe adverse outcomes, isolated case reports have raised concerns about potential associations between maternal COVID-19 vaccination and conditions such as fetal supraventricular tachycardia and immune-mediated diseases. Our review underscores the importance of ongoing surveillance and monitoring to ensure vaccine safety in pregnant women. Overall, COVID-19 vaccination during pregnancy remains a safe and effective strategy, emphasizing the need for continued research and vigilance to safeguard maternal and fetal health. [ABSTRACT FROM AUTHOR]

Galectin-3 belongs to a family of soluble glycan-binding proteins, which are increasingly recognized as modulators of pregnancy-associated processes, including proper placental development. Gestational hypertension and preeclampsia are significant complications of pregnancy, affecting millions of women annually. Despite their prevalence, the underlying pathophysiological mechanisms remain poorly understood. Several theories have been proposed, including inflammation, placental insufficiency, disturbed placental invasion, and angiogenesis. The Scopus and PubMed/MEDLINE databases were utilized until the end of May 2024. In total, 11 articles with 1011 patients, with 558 in the control group and 453 in the preeclampsia group, were included. Seven articles investigated the expression of galectin-3 (Gal-3) in placental tissue samples, eight studies calculated the serum levels of Gal-3 in maternal blood samples, while one study referred to the possible correlation of galectin-3 levels in umbilical cord blood. The results were inconsistent in both the placental tissue and maternal serum; Gal-3 placental expression was found to be statistically increased in five studies compared to that in women without gestational hypertensive disorders, while two studies either mentioned decreased expression or no difference. Similarly, the Gal-3 maternal serum levels, compared to those in women without gestational hypertensive disorders, were found to be statistically increased in five studies, while three studies did not find any statistical difference. Gal-3 can play a crucial role in the pathogenesis of preeclampsia, and its expression is influenced by gestational age and placental insufficiency. A further investigation ought to be conducted to enlighten the correlation of Gal-3 with gestational hypertension and preeclampsia development. [ABSTRACT FROM AUTHOR]

Background/Objectives: This study aims to create a strong binary classifier and evaluate the performance of pre-trained convolutional neural networks (CNNs) to effectively distinguish between benign and malignant ovarian tumors from still ultrasound images. Methods: The dataset consisted of 3510 ultrasound images from 585 women with ovarian tumors, 390 benign and 195 malignant, that were classified by experts and verified by histopathology. A 20% to80% split for training and validation was applied within a k-fold cross-validation framework, ensuring comprehensive utilization of the dataset. The final classifier was an aggregate of three pre-trained CNNs (VGG16, ResNet50, and InceptionNet), with experimentation focusing on the aggregation weights and decision threshold probability for the classification of each mass. Results: The aggregate model outperformed all individual models, achieving an average sensitivity of 96.5% and specificity of 88.1% compared to the subjective assessment's (SA) 95.9% sensitivity and 93.9% specificity. All the above results were calculated at a decision threshold probability of 0.2. Notably, misclassifications made by the model were similar to those made by SA. Conclusions: CNNs and AI-assisted image analysis can enhance the diagnosis and aid ultrasonographers with less experience by minimizing errors. Further research is needed to fine-tune CNNs and validate their performance in diverse clinical settings, potentially leading to even higher sensitivity and overall accuracy. [ABSTRACT FROM AUTHOR]

Background/Objectives: There are indications that the microbial composition of the maternal mucosal surfaces is associated with adverse events during pregnancy. The aim of this review is to investigate the link between vaginal microbiome alterations and gestational complication risk. Methods: This comprehensive literature review was performed using Medline and Scopus databases. The following search algorithm was used, "Pregnancy Complications" [Mesh] AND (Vagin*), and after the literature screening, 44 studies were included in the final review. Results: The studies that were included investigated the association between vaginal microbial composition and preterm birth, miscarriage, preeclampsia, ectopic pregnancy, gestational diabetes mellitus, chorioamnionitis, and preterm premature rupture of membranes. In most of the studies, it was well established that increased microbial diversity is associated with these conditions. Also, the depletion of Lactobacillus species is linked to most of the gestational complications, while the increased relative abundance and especially Lactobacillus crispatus may exert a protective effect in favor of the pregnant woman. Several pathogenic taxa including Gardnerella , Prevotella , Sneathia , Bacterial Vaginosis-Associated Bacteria-2 , Atopobium , and Megasphera seem to be correlated to higher maternal morbidity. Conclusions: Vaginal microbiome aberrations seem to have an association with pregnancy-related adverse events, but more high-quality homogenous studies are necessary to reliably verify this link.

Background: Breast cancer awareness is a concept suggesting that awareness of signs and symptoms and early seeking of medical advice may decrease mortality, especially in limited resource settings., Methods: A modified questionnaire based on the breast cancer awareness measure (BCAM) by Cancer Research UK was translated into Greek and used for the first time. Participants were women residing in a rural border area in Greece. For statistical analysis the χ 2 goodness-of-fit and Cramer's V test for categorical comparisons were used and Cronbach's alpha for reliability analysis., Results: In total, 110 women filled out and returned the questionnaire. Respondents appeared to be inappropriately informed regarding the less common warning signs of breast cancer, the most common age of breast cancer occurrence, the national screening program, and the less important risk factors of breast cancer. On the other hand, most women appeared to be confident in recognizing breast changes and seeking medical advice if needed., Conclusions: The translated modified BCAM tool can be used to evaluate breast cancer awareness in Greek women. Future campaigns developed by policymakers should focus on improving breast cancer awareness, especially in socioeconomically deprived areas., Competing Interests: Human subjects: Consent was obtained or waived by all participants in this study. Research Committee - Special Account for Research Grants of the International Hellenic University issued approval 14th Sitting/13.11.2019, Topic 31.3. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: INTERREG IPA Cross-border Cooperation Programme “Greece - Republic of North Macedonia 2014-2020” (CCI 2014 TC 16 I5CB 009). Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Papasozomenou et al.)

Purpose:  This study aimed to explore the feasibility of implementation of the ISUOG 2013 guidelines on routine second-trimester examination of the fetal heart., Materials and Methods:  This was a prospective study in 357 women with singleton pregnancy undergoing their routine second-trimester scan. The fetal heart was examined using B-mode in different planes according to the guidelines. Potential maternal and fetal factors that can affect the rates of diagnostic-quality imaging for each of the recommended views were tested, using regression analysis. The intra- and interobserver agreement was analyzed in stored video loops., Results:  Most cardiac structures could be successfully examined with rates at or close to 100 %. Structures with a successful examination rate of ≤ 85 % included the ventricular wall fine details (55.2 %), tricuspid valve insertion (82.6 %), aortic root with clear walls (77.9 %), pulmonary artery walls (65.8 %) and clear view of the great artery walls (66.7 %). Common factors affecting the likelihood of successful examination of these structures included maternal BMI, skin-to-crux distance and the orientation of the cardiac axis. A post-hoc analysis indicated that a lack of pre-defined criteria for diagnostic quality was a constant reason for the interobserver variation., Conclusion:  Most of the cardiac views can be consistently and reliably obtained, with maternal habitus being the primary factor limiting the quality of visualization. As offline interpretation may be subjective, using pre-defined quality criteria for the assessment of the images might improve interrater agreement., Competing Interests: Disclosure The authors report no conflicts of interest in this work., (© Georg Thieme Verlag KG Stuttgart · New York.)