This study examines the role played by individual characteristics and specific treatment methods in the evolution of hospitalized patients with coronavirus disease 2019 (COVID-19), through the lens of an observational study performed in a comparative approach between the first and second waves of coronavirus pandemic in Romania. The research endeavor is configured on a two-fold approach, including a detailed observation of the evolution of 274 hospitalized patients with COVID-19 (145 in the first wave and 129 in the second wave of infection) according to specific treatment methods applied and patients’ individual features, as well as an econometric (quantitative) analysis through structural equation modeling and Gaussian graphical models designed to acknowledge the correlations and causal relationship between all considered coordinates. The main results highlight that the specific treatment methods applied had a positive influence on the evolution of COVID-19 patients, particularly in the second wave of coronavirus pandemic. In case of the first wave of COVID-19 infection, GGM results entail that there is a strong positive correlation between the evolution of the patients and the COVID-19 disease form, which is further positively correlated with the treatment scheme. The evolution of the patients is strongly and inversely correlated with the symptomatology and the ICU hospitalization. Moreover, the disease form is strongly and inversely correlated with oxygen saturation and the residence of patients (urban/rural). The symptomatology at first appearance also strongly depends on the age of the patients (positive correlation) and of the fact that the patient is a smoker or non-smoker and has other comorbidities. Age and gender are also important credentials that shape the disease degree and patient evolution in responding to treatment as well, our study attesting strong interconnections between these coordinates, the form of disease, symptomatology and overall evolution of the patients.

Background and Objectives: This paper aims to assess the role of laser therapy in periodontitis through an innovative approach involving computational prediction and advanced modeling performed through network analysis (Gaussian graphical models—GGMs) and structural equations (SEM). Materials and Methods: Forty patients, exhibiting periodontal pockets with a minimum depth of 5 mm, were randomly divided into two groups: a control group and a laser group. Four specific indicators were measured for each tooth, namely periodontal pocket depth (PPD), clinical attachment level (CAL), bleeding on probing (BOP), and plaque index (PI), and the mean of six measured values was recorded at five time markers (baseline, 6 months, 1 year, 2 years, and 4 years). The assessment algorithm included enrollment, measurements, and differential non-surgical periodontal treatment, according to the group allocation. Scaling, root planing, and chlorhexidine 1% were conducted for the control group, and scaling, root planing and erbium, chromium:yttrium-scandium-gallium-garnet (Er,CR:YSGG) laser therapy were conducted for the laser group. Results: The main results highlight that the addition of laser treatment to scaling and root planing led to notable clinical improvements, decreasing the PPD values, reducing the BOP scores, and increasing the CAL. Conclusions: Notable relationships between the specific indicators considered were highlighted by both the GGMs and by SEM, thus confirming their suitability as proxies for the success of periodontal treatment.

Given the COVID-19 pandemic crisis that has deeply affected the health and well-being of people worldwide, the main objective of this paper was to explore the existing relationship between health, welfare, and population aging until the pandemic burst, on the basis of two distinctive groups of European Union (EU) countries, namely, the old and the new member states. The methodological endeavor was based on two advanced econometric techniques, namely, structural equation modelling and network analysis through Gaussian graphical models, applied for each group of EU countries, analyzed during the period of 1995–2017. The main results revealed significant differentiation among the new and old EU countries as follows: public health support was found to have a positive impact on healthy aging and well-being of older people, on other social determinants, and on people’s perceived good and very good health; overall, significant influences were revealed in terms of the aging dimensions. The main implications of our findings relate to other researchers as a baseline comparison with the existing situation before the COVID-19 pandemic outbreak, but also to policymakers that have to rethink the public health allocations, both in old and new EU member states, in order to endorse the aging credentials, underpinning a successful and healthy integration of the elderly within all life dimensions.

Examining specific patterns of major cranio-facial alterations through cephalometric measurements in order to improve the Prader–Willi (PWS) syndrome diagnostic poses a major challenge of identifying interlinkages between numerous credentials. These interactions can be captured through probabilistic models of conditional independence between heterogeneous variables. Our research included 18 subjects (aged 4 to 28 years) genetically diagnosed with Prader–Willi syndrome and a healthy control group (matched age and sex). A morphometric and cephalometric analysis was performed upon all the subjects in order to obtain the needed specific data. We have, therefore, firstly deployed several integrated Gaussian graphical models (GGMs) to capture the positive and negative partial correlations and the intensity of the connections between numerous credentials configured to determine specific cranio-facial characteristics of patients with PWS compared to others without this genetic disorder (case-control analysis). Afterwards, we applied structural equation modelling (SEM) with latent class analysis to assess the impact of these coordinates on the prevalence of the Prader–Willi diagnostic. We found that there are latent interactions of features affected by external variables, and the interlinkages are strapping particularly between cranial base (with an important role in craniofacial disharmonies) and facial heights, as important characteristic patterns in determining the Prader–Willi diagnostic, while the overall patterns are significantly different in PWS and the control group. These results impact the field by providing an enhanced comprehensive perspective on cephalometric characteristics and specific patterns associated with Prader–Willi syndrome that can be used as benchmarks in determining the diagnostic of this rare genetic disorder. Furthermore, the two innovative exploratory research tools applied in this paper are very useful to the craniofacial field to infer the connections/dependencies between variables (particularly biological variables and genes) on cephalometric characteristics and specific patterns associated with Prader–Willi syndrome.

Background and Objectives: The COVID-19 pandemic profoundly disrupted global healthcare systems, limiting access to diagnostic and therapeutic services for chronic diseases. Patients with decompensated liver cirrhosis were particularly vulnerable due to their fragile clinical status and dependence on continuous medical care. This study aimed to evaluate the temporal evolution of clinical, biological, and prognostic parameters in patients admitted emergently with decompensated liver cirrhosis across three distinct phases: pre-pandemic, pandemic, and post-pandemic. Materials and Methods: A retrospective, single-center study was conducted at the Department of Gastroenterology, Municipal Clinical Emergency Hospital, Timișoara, Romania, including 355 patients hospitalized between February 2018 and February 2024. Clinical, biochemical, and outcome data were collected and analyzed using univariate and multivariate logistic regression models to identify independent predictors of in-hospital mortality for each study period. Results: Significant temporal variations were observed in disease severity, management, and outcomes. The mean MELD score increased from 18.7 to 21.0 during the pandemic (p = 0.043), while endoscopic evaluations declined markedly (59.4% pre-pandemic vs. 42.7% pandemic, p = 0.037). Mortality rose from 21.7% to 30.2% during the pandemic (p = 0.044) and remained elevated post-pandemic (26.4%). Multivariate regression identified Child–Pugh, MELD, and Baveno scores as consistent mortality predictors, though their relative weight varied by period. During the pandemic, acute complications—particularly jaundice (OR = 294) and upper gastrointestinal bleeding (OR = 355)—became dominant determinants of death. Conclusions: The pandemic transformed cirrhosis from a chronic, manageable disease into an acutely unstable condition, primarily due to delayed presentation and restricted procedural access. Although post-pandemic recovery was evident, residual increases in mortality and severity indicate lasting effects of healthcare disruption, underscoring the need to strengthen system resilience and continuity of care for patients with chronic liver disease.

Background: Coronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, had profound primary effects on global health and secondary effects through widespread disruption of healthcare systems, limiting access to elective medical services essential for the management of chronic diseases such as liver cirrhosis. Elective hospitalizations play a key role in disease monitoring, prevention of complications, and therapeutic optimization. This study aimed to evaluate the impact of the pandemic on the clinical profile, disease severity, and outcomes of patients electively admitted with liver cirrhosis across three periods: pre-pandemic, pandemic, and post-pandemic. Methods: This retrospective, single-center cohort study included 248 adult patients electively admitted with a primary diagnosis of liver cirrhosis between February 2018 and February 2024. Patients were stratified according to admission period. Data on demographics, clinical presentation, etiology, decompensation markers, severity scores (Child–Pugh, Baveno), procedures, and hospitalization outcomes were analyzed. Results: A total of 248 patients were included, with a significant reduction in elective admissions during the pandemic (23.0% vs. 46.4% pre-pandemic), followed by partial recovery post-pandemic (30.6%) (p = 0.031). A higher proportion of urban patients was observed during the pandemic (70.2%, p = 0.004). Disease severity increased during the pandemic, with a higher prevalence of Child–Pugh C (17.5%) and Baveno stage 6 (10.5%), whereas post-pandemic data showed improvement (Child–Pugh C: 6.57%; no Baveno stage 6; p = 0.004). Ascites (47.4%) and paracentesis (21.1%) peaked post-pandemic (p = 0.012; p = 0.003). Endoscopic activity decreased during the pandemic (22.8%, p = 0.017), while interventional procedures were more frequent (8.8%, p = 0.045). Transfusion requirements (17.5%, p = 0.001) and hospitalization costs (€467.08, p = 0.01) were highest during the pandemic, while no deaths were recorded post-pandemic. In-hospital mortality was observed in 1.7% of patients during the pre-pandemic period and increased to 3.5% during the pandemic period, while no deaths were recorded post-pandemic. Conclusions: The COVID-19 pandemic significantly altered elective cirrhosis care, leading to reduced admissions, increased disease severity, and higher resource utilization. Although partial recovery was observed post-pandemic, persistent evidence of delayed decompensation underscores the importance of maintaining continuity in elective hepatology services.