Gastric cancer stands as the fourth leading cause of cancer-related deaths globally, primarily comprising adenocarcinomas, categorized by anatomic location and histologic type. Often diagnosed at advanced stages, gastric cancer prognosis remains poor. To address the critical need for accurate tumoral markers for gastric cancer diagnosis, we conducted a study to assess classical markers like CEA and CA-19-9 alongside the novel marker miR-106. Our investigation revealed distinct dynamics of these markers compared to non-cancerous groups, although no disparities were observed across different disease stages. Univariable and multivariable logistic regression analyses demonstrated that elevated levels of miR-106, CEA and CA 19-9 were predictive of a positive histopathological exam, with the respective odds ratios of 12.032 (95% CI: 1.948–74.305), 30 (95% CI: 3.141–286.576), and 55.866 (95% CI: 4.512–691.687). Subsequently, we utilized predicted probabilities from regression models to construct receiver operating characteristic (ROC) curves, identifying CA 19-9 as the optimal predictor for gastric adenocarcinoma diagnosis when considering age and gender, with an area under the curve (AUC) of 0.936 (p < 0.001). Hence, classical markers exhibit superior performance compared to the novel marker miR-106 in predicting gastric adenocarcinoma.

Until 1989, Romania was one of the countries of the communist bloc in Europe and its healthcare system was characterized by centralized planning and severe underfunding, with low performance and low quality healthcare. Since 1998, Romania replaced the Semashko model with a social health insurance system, highly centralized under the management of the Ministry of Health as the central administrative authority. After joining the European Union, quality of life increased in our country and there were efforts to improve the quality of healthcare, including pediatric and neonatal care. Still, Romania has the lowest share of health expenditure of gross domestic product among the European Union Member States and the lowest level of expenditure per inhabitant. The Romanian health system is organized on three levels of assistance: primary, secondary and tertiary assistance. This overview presents the organization and the characteristics of pediatric and neonatal healthcare in Romania at all levels, the infrastructure and the human resources, the educational system from medical school to pediatric residency, professional organizations, national health programs, and the child health status in Romania. Infant mortality, the most descriptive single indicator of the quality of a health system, decreased constantly for the last 30 years in Romania, but is still the highest in the European Union. Even though there were great improvements in the healthcare for children, more efforts should be made to assure a better quality of care for the future of our nation, both on the human resources (in great danger due to the brain-drain of medical professionals during the last 12 years), and on the infrastructure plan.

Neonatal brain injury or neonatal encephalopathy (NE) is a significant morbidity and mortality factor in preterm and full-term newborns. NE has an incidence in the range of 2.5 to 3.5 per 1000 live births carrying a considerable burden for neurological outcomes such as epilepsy, cerebral palsy, cognitive impairments, and hydrocephaly. Many scoring systems based on different risk factor combinations in regression models have been proposed to predict abnormal outcomes. Birthweight, gestational age, Apgar scores, pH, ultrasound and MRI biomarkers, seizures onset, EEG pattern, and seizure duration were the most referred predictors in the literature. Our study proposes a decision-tree approach based on clinical risk factors for abnormal outcomes in newborns with the neurological syndrome to assist in neonatal encephalopathy prognosis as a complementary tool to the acknowledged scoring systems. We retrospectively studied 188 newborns with associated encephalopathy and seizures in the perinatal period. Etiology and abnormal outcomes were assessed through correlations with the risk factors. We computed mean, median, odds ratios values for birth weight, gestational age, 1-min Apgar Score, 5-min Apgar score, seizures onset, and seizures duration monitoring, applying standard statistical methods first. Subsequently, CART (classification and regression trees) and cluster analysis were employed, further adjusting the medians. Out of 188 cases, 84 were associated to abnormal outcomes. The hierarchy on etiology frequencies was dominated by cerebrovascular impairments, metabolic anomalies, and infections. Both preterms and full-terms at risk were bundled in specific categories defined as high-risk 75–100%, intermediate risk 52.9%, and low risk 0–25% after CART algorithm implementation. Cluster analysis illustrated the median values, profiling at a glance the preterm model in high-risk groups and a full-term model in the inter-mediate-risk category. Our study illustrates that, in addition to standard statistics methodologies, decision-tree approaches could provide a first-step tool for the prognosis of the abnormal outcome in newborns with encephalopathy.

Background and Objective: The effects of neonatal hypoglycemia on the developing brain are well known, resulting in poor neurological outcomes. We aimed to perform an updated meta-analysis on neonatal hypoglycemia, the severity of hypoglycemia, and the associated neurodevelopmental outcomes from infancy to adulthood. Methods: A systematic literature search was conducted from inception until March 2024, using the PubMed, CINAHL, Embase, and the CENTRAL databases. Randomized/quasi-randomized trials and observational studies that evaluated at least one of the pre-specified outcomes were included. A random-effects model meta-analysis was performed to yield the pooled OR and its 95% CI for each outcome due to the expected heterogeneity in the studies. The study findings were reported as per the PRISMA guidelines. Neurodevelopmental impairment (NDI), cognitive impairment, and visual-motor or visual impairment were the primary outcomes. Results: A total of 17 studies (19 publications) were included in the final analysis. NDI, as defined by authors, was significantly higher in early- (OR = 1.16; 95% CI = 1.11–1.43) and mid-childhood (OR = 3.67; 95%CI = 1.07–12.2) in infants with neonatal hypoglycemia. ‘Any cognitive impairment’ was significantly more common in infants with neonatal hypoglycemia (OR = 2.12; 95%CI = 1.79–2.52). Visual-motor impairment (OR = 3.33; 95%CI = 1.14–9.72) and executive dysfunction (OR = 1.99; 95%CI = 1.36–2.91) were also more common in the hypoglycemic group. No difference in the incidence of epilepsy, motor impairment, emotional-behavioral problems, or hearing impairment were noted. Certainty of evidence was adjudged as ‘low’ to ‘very low’ for most outcomes. The severity of hypoglycemia was studied at different intervals, with NDI more common with a blood glucose interval between 20 and 34 mg/dL (1.1–1.9 mmol/L). Conclusions: Low-quality evidence from large observational studies finds a significant association with hypoglycemia in the early neonatal period and long-term neurodevelopmental problems. Additional studies with long enough follow-up are paramount to determine the cut-off concentration and to quantify the impact beyond the infancy period.

Introduction : Persistent ductus arteriosus (PDA) is found with increased incidence in preterm infants, significantly affecting neonatal morbidity and mortality rates. Aim : To evaluate the association between the presence of PDA and the severity of clinical condition at birth in critically ill preterm infants, with gestational ages (GA) ≤ 32 weeks and severe respiratory distress. Methods : All preterm infants with GA ≤ 32 weeks admitted to the neonatal intensive care unit (NICU) of the Clinical County Emergency Hospital, Sibiu between 1 January 2010 and 31 December 2015 were included in the study. These were categorized as Group 1 [Preterm infants with PDA; n=154] and Group 2 [Preterm infants without PDA; n=186]. Epidemiological and clinical data were collected in the National Registry for Respiratory Distress Syndrome for all children, and data related to prenatal period, clinical characteristics at birth i.e GA, weight, gender, Apgar scores, and clinical features such as resuscitation at birth, surfactant administration, need and duration of respiratory support, neonatal sepsis, complications associated with prematurity, and death, were analyzed. Results : Group 1 infants had significantly lower GA and birth weights, were more often out born (p=0.049, HR 1.69), and had significantly lower Apgar scores at 1 and 10 minutes (p=0.022, p=0.000). They presented a significantly higher need for surfactant administration (42.9% vs 24.7%, p<0.0001) and respiratory support (96.8% vs 90.3%, HR 3.19, p=0.019 for need of CPAP and 22.1% vs 10.8%, HR 2.35, p=0.004 for mechanical ventilation). Duration of respiratory support was also significantly higher in the Group 1 (7.6%±7.5 vs. 5.1±3.8 days, p<0.0001 for CPAP and 20.1±22.5 vs. 12.0±15.7 days, p<0.0001 for mechanical ventilation). Conclusion : In very preterm infants, PDA may be associated with a critical clinical condition leading to serious complications. The presence of PDA after the seventh day of life was associated with an increased need for respiratory support, both CPAP and mechanical ventilation, increased severity of the respiratory distress syndrome, requiring a longer duration of respiratory support, and increased the hospitalization length. In very preterm infants, PDA presence was also associated with a higher rate of severe complications and death, indicating the need for a careful and proper management of these critical cases in neonatal intensive care units.

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