Background and Objectives: Pregnant women are more likely to develop a more severe course of COVID-19 than their non-pregnant peers. There are many arguments for the safety and efficacy of COVID-19 vaccines in pregnant women. The aim of this study is to conduct a systematic review concerning the approach of pregnant women towards vaccination against COVID-19, with particular regard to determinants of vaccination acceptance. Materials and Methods: Articles were reviewed in which the aim was to evaluate—via a survey or questionnaire—the acceptance and decision to undergo vaccination against COVID-19. The articles were subjected to review according to recommendations of Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement (PRISMA). Results: In various studies, the percentage of pregnant women accepting the COVID-19 vaccine was between 29.7% and 77.4%. The strongest factors co-existing with the acceptance of the COVID-19 vaccination in pregnancy were trust in the importance and effectiveness of the vaccine, explicit communication about the safety of COVID-19 vaccines for pregnant women, acceptance of other vaccinations such as those for influenza, belief in the importance of vaccines/mass vaccination in one’s own country, anxiety about COVID-19, trust in public health agencies/health science, as well as compliance to mask guidelines. The remaining factors were older age, higher education, and socioeconomic status. Conclusions: This review allowed us to show that geographic factors (Asian, South American countries) and pandemic factors (different threats and risks from infection) significantly influence the acceptance of vaccines. The most significant factors affecting acceptance are those related to public awareness of the risk of infection, vaccine safety, and the way in which reliable information about the need and safety of vaccines is provided. Professional and reliable patient information by obstetricians and qualified medical personnel would significantly increase the level of confidence in vaccination against COVID-19.

Coronavirus disease—COVID-19 (coronavirus disease 2019) has become the cause of the global pandemic in the last three years. Its etiological factor is SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus type 2). Patients with diabetes (DM—diabetes mellitus), in contrast to healthy people not suffering from chronic diseases, are characterised by higher morbidity and mortality due to COVID-19. Patients who test positive for SARCoV-2 are at higher risk of developing hyperglycaemia. In this paper, we present, analyse and summarize the data on possible mechanisms underlying the increased susceptibility and mortality of patients with diabetes mellitus in the case of SARS-CoV-2 infection. However, further research is required to determine the optimal therapeutic management of patients with diabetes and COVID-19.

Preeclampsia (PE) is a prevalent obstetric illness affecting pregnant women worldwide. This comprehensive literature review aims to examine the role of biomarkers and understand the molecular mechanisms underlying PE. The review encompasses studies on biomarkers for predicting, diagnosing, and monitoring PE, focusing on their molecular mechanisms in maternal blood or urine samples. Past research has advanced our understanding of PE pathogenesis, but the etiology remains unclear. Biomarkers such as PlGF, sFlt-1, PP-13, and PAPP-A have shown promise in risk classification and preventive measures, although challenges exist, including low detection rates and discrepancies in predicting different PE subtypes. Future perspectives highlight the importance of larger prospective studies to explore predictive biomarkers and their molecular mechanisms, improving screening efficacy and distinguishing between early-onset and late-onset PE. Biomarker assessments offer reliable and cost-effective screening methods for early detection, prognosis, and monitoring of PE. Early identification of high-risk women enables timely intervention, preventing adverse outcomes. Further research is needed to validate and optimize biomarker models for accurate prediction and diagnosis, ultimately improving maternal and fetal health outcomes.

Diabetic mastopathy is a rare breast condition that may occur in insulin-treated men and women of any age. The etiology is still unclear; however, the autoimmunological background of the disease is highly suspected. The changes in diabetic mastopathy may mimic breast cancer; therefore, its diagnostic process is demanding, and treatment options are not clear and limited. Lesions in DM are usually multiple; therefore, surgical removal is not fully effective. A well-done anamnesis with core-needle biopsy is essential and definitive in most cases. In this review, we summarize up-to-date knowledge of diagnostic methods and therapeutic options for diabetic mastopathy treatment and present three cases of diabetic mastopathy-type lesions in ultrasound and radiological examinations.

(1) Aim: Ultrasound is the gold standard for assessing fetal growth disorders. The relationship between high sFlt-1/PlGF scores and LBW (low birth weight) was described. In this study, we attempted to assess whether uric acid could be used as a secondary marker in estimating the pregnancy risk associated with LBW. (2) Material and methods: 665 pregnant women with a suspected or confirmed form of placental insufficiency were enrolled. In each of the patients, sFlt-1 and PlGF and uric acid levels were determined. Patients were divided into two groups according to birth weight below and above the third percentile for the given gestational age with the criteria of the neonatal definition of FGR (fetal growth restriction). (3) Results: A significant negative correlation between neonatal birth weight and the uric acid level across the entire study group was observed. We found a significant negative correlation between neonatal birth weight and the uric acid level with birth weights < 3rd percentile. (4) Conclusions: There is a significant link between the uric acid concentration and LBW in the group with placental insufficiency. Uric acid can improve the prediction of LBW. An algorithm for LBW prognosis that makes use of biophysical (ultrasound) and biochemical (uric acid level, angiogenesis markers) parameters yields better results than using these parameters separately from each other.

Background: The sFlt-1/PlGF ratio has proven predictive value in diagnosing preeclampsia. Referring to a study from 18 American perinatal centers, we present results from 2 European centers showing the significant value of those markers in predicting severe perinatal outcomes in hypertensive disorders of pregnancy. Methods: A total of 1630 patients with suspected or confirmed placental insufficiency, hospitalized in two tertiary perinatal centers in Poland and Macedonia, were assessed for their sFlt-1/PlGF ratio. Due to incomplete data, perinatal outcomes were only obtained for 1196 patients. They were sorted into two groups according to the value of the sFlt-1/PlGF ratio (<40 and ≥40). The aim of this study was to predict adverse perinatal outcomes in terms of days to delivery, gestational age, birth weight, and cord blood pH. Results: The strongest negative correlation was observed between the index values and the number of days until delivery (R = −0.48; p < 0.001). In a group of patients with an index value of ≥40, the AUC was 0.9955 (95% CI: 0.9913 to 0.9996), with a sensitivity of 52%, a specificity of 78%, a positive predictive value of 77%, and a negative predictive value of 53%. For patients who were tested before 37 weeks of gestation, 66% of women with a ratio of ≥40 delivered within 7 days of the test, and 80% of those with a ratio of <40 delivered more than 7 days after the test, with a sensitivity of 68%, a specificity of 79%, a positive predictive value of 66%, and a negative predictive value of 80%. Conclusions: In women with hypertensive disorders, the sFlt-1/PlGF ratio can be used to predict the time to delivery. A cut-off of 40 is very useful in predicting severe perinatal outcomes.