Through this research, our main focus was: to investigate the biochemical brain metabolites (NAA-N-acetylaspartate, GABA-Gama-Aminobutyric Acid, Asp-Aspartate, CR-Creatine, Gln-Glutamine, GPC-Glicerophosphocholine, PC-Phosphocholine, PCr-Phosphocreatine, Tau-Taurine, N-MDA-N-Metyl-D-Aspartate, Serine, Glicine, Cho-Choline); the neuroimagistic, the brain biochemical and metabolic abnormalities in children and adolescents with epilepsy before and after treatment; to review the main antiepileptic medication administered to these patients; and to make some correlations with the results obtained through Magnetic Resonance (MR) Spectroscopy, for further proper early detection and intervention in children and adolescents with epilepsy. Our research was performed between 2010-2017, involving 45 children and adolescents with epilepsy. Also, the patients were evaluated through MR Spectroscopy at baseline and after pharmacotherapy. Through the MR Spectroscopy, we investigated key aspects of the brain function and metabolism. The antiepileptic medication was chosen according to the guides and the type of epileptic seizures. The efficacy of the chosen therapy was evaluated through the change of the relevant MR spectroscopy biochemical brain metabolites. Our results, showed statistically significant modified values and concentrations of the biochemical cerebral metabolites. Our research was a proof, which the evaluation of the biochemical brain metabolites through MR Spectroscopy is of high clinical utility in prevention, early detection and intervention in epilepsy in children and adolescents.
The prevalence of preterm delivery is rising over time. Preterm delivery is a major cause of mortality in infants. In this study, we aimed to compare the frequency of psychological disorders among women with preterm delivery versus term delivery. In this study, psychological disorders in 25 women, who experienced preterm delivery (gestational age of less than 37 weeks) and in 25 women who had term delivery were examined, using Profile of Affective Distress (PAD) and Symptom Checklist-90 questionnaire (SCL-90). Women, who experienced preterm delivery were treated with progesterone from gestational age 24 and Gynipral - Hexoprenaline Sulphate (C22H30N2O10S), 48 hours before birth. The mean age of the participants was 26.26 for women with term delivery and 28.96 in preterm-delivery. The mean (PAD questionnaire) of the participants in the preterm delivery group being higher than that of the term delivery group, indicating a relevant tendency for the women in the first group to experience a strong affective disorder. The mean score of Symptom checklist-90 questionnaire (SCL-90) in women with term delivery was 49.16 (AS = 12.19) and 92.32 (AS = 29.71) in women with preterm delivery (p [ 0.001). The results reveal statistically significant differences in the short-term emotional reactions between the two groups of participants. Psychological disorders were higher in women with preterm delivery compared to those with term delivery.
Studies observed that women infected with SARS-CoV-2 during pregnancy had a higher risk of preterm birth. Although it is likely that COVID-19 during the late trimester of pregnancy can trigger premature birth, prematurity remains a concern, and it is vital to study additional clinical and biological patient factors that are highly associated with this negative pregnancy outcome and allow for better management based on the existing predictors. In order tto achieve this goal, the current study retrospectively recruited 428 pregnant patients that were separated into three study groups using a 1:2:4 matching ratio and a nearest-neighbor matching method. Sixty-one pregnant patients had a history of COVID-19 during pregnancy and gave birth prematurely; 124 pregnant patient controls had COVID-19 and gave birth full-term, while the second control group of 243 pregnant patients had a premature birth but no history of COVID-19. It was observed that a symptomatic SARS-CoV-2 infection during the third trimester was significantly more likely to be associated with premature birth. Even though the rate of ICU admission was higher in these cases, the mortality rate did not change significantly in the COVID-19 groups. However, SARS-CoV-2 infection alone did not show statistical significance in determining a premature birth (β = 1.09, CI = 0.94–1.15, p-value = 0.067). Maternal anemia was the strongest predictor for prematurity in association with SARS-CoV-2 infection (β = 3.65, CI = 1.46–5.39, p-value < 0.001), followed by elevated CRP (β = 2.11, CI = 1.20–3.06, p-value < 0.001), and respectively IL-6 (β = 1.92, CI = 1.20–2.47, p-value = 0.001. SARS-CoV-2 infection is associated with an increased risk of preterm birth, as shown by our data. If SARS-CoV-2 infection arises during the third trimester, it is recommended that these patients be hospitalized for surveillance of clinical evolution and biological parameters, such as anemia and high inflammatory markers, which have a multiplicative influence on the pregnancy result.
Spontaneous miscarriage is reported in approximately 15% of the clinically recognized pregnancies. Several reports have showed an increased risk of miscarriage in patients with thrombophilia, but due to the heterogeneity of study design the role thrombophilic factors and the use of anticoagulant therapy in prevention of pregnancy loss is still unclear. The current study includes 55 patients for which we ran a screening of the most commonly inherited thrombophilia mutations (FVL, FII, MTHFR C677T/A1298, PAI 4G/5G mutations). We found that most of the patients (92.72%) associated mutation in at least 2 of the genes evaluated. Only a small number of patients (7.27%) had a single variant identified. We have found high prevalence of the studied variants in the pregnant patients that experience pregnancy loss, with risk allele frequencies increased from 2 to 11 times as compared to the general population. We consider that evaluation of the trombophilic variants should be indicated for patients with pregnancy loss in order to establish a possible cause for the miscarriage.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.