Search Results (857)

Background and Objectives: Neonatal respiratory distress syndrome (NRDS), resulting from a deficiency of pulmonary surfactant (PS), can cause alveoli to collapse. Glucocorticoids reduce inflammation and are effective in reducing pulmonary swelling. This study aims to assess the effectiveness of the combination of PS and budesonide in the management of NRDS. Materials and Methods: Publications between 21 May and 24 November were screened through PubMed, Cochrane and Embase. Data analysis was performed on RevMan 5.3 software. Subgroup analysis was performed to evaluate the routes of administrations. Results: The use of budesonide along with pulmonary surfactant for treating NRDS revealed the following results: (1) a reduced duration of invasive mechanical ventilation (standardized mean difference (SMD) = −1.06, 95% confidence interval (CI) = −1.55 to −0.56, p < 0.0001); (2) reduced rate of bronchopulmonary dysplasia (BPD) occurrence (relative risk (RR) = 0.72, 95% CI = 0.60 to 0.86, p = 0.0003); (3) reduced duration for hospital admittance (SMD = −0.38, 95% CI = −0.64 to −0.11, p = 0.005). The occurrence of complications, i.e., sepsis, pneumothorax, retinopathy of prematurity (ROP), necrotizing enterocolitis (NEC), rate of mortality, hyperglycemia and intraventricular hemorrhage (IVH), was not significantly different among the intervention and comparison group except for patent ductus arteriosus (PDA) and pulmonary hemorrhage, with their incidence being higher in the control group (p = 0.002 and p = 0.05, respectively). Conclusions: The combination of pulmonary surfactant and budesonide decreases the occurrence of BPD, duration of mechanical ventilation, length of hospital stay and risk of pulmonary hemorrhage and PDA. It does not increase the risk of complications and death and is clinically safe. Full article

Flood hazards have increasingly threatened the East Kazakhstan region in recent decades due to climate change and growing anthropogenic pressures, leading to more frequent and severe flooding events. This article considers an approach to modeling and forecasting river runoff using the example of the small Kurchum River in the East Kazakhstan region. The main objective of this study was to evaluate the numerical performance of the flood hazard model by comparing simulated flood extents with observed flood data. Two types of data were used as initial data: topographic data (digital elevation models and topographic maps) and hydrological data, including streamflow time series from stream gauges (hourly time steps) and lateral inflows along the river course. Spatially distributed rainfall forcing was not applied. To build the model, we used the software packages of HEC-RAS version 5.0.5 and MIKE version 11. Using retrospective data for 3 years (2019–2021), modeling was performed, the calculated boundaries of possible flooding were obtained, and the highest risk zones were identified. A dynamic map of depth changes in the river system is presented, showing the process of flood wave propagation, the dynamics of depth changes, and the expansion of the flood zone. Temporal flood inundation mapping and performance metrics were evaluated for each individual flood event (2019, 2020, and 2021). The simulation outcomes closely correlate with actual flood events. The assessment showed that the model data coincide with the real ones by 91.89% (2019), 89.09% (2020), and 95.91% (2021). The obtained results allow for a clarification of potential flood zones and can be used in planning measures to reduce flood risks. This study demonstrates the importance of an integrated approach to modeling, combining various software packages and data sources. Full article

Traumatic liver injury remains a significant contributor to trauma-related morbidity and mortality worldwide. In Saudi Arabia, motor vehicle accidents (MVAs) are the predominant mechanism of injury, particularly among young adults. This study aimed to evaluate the clinical characteristics, management strategies, and outcomes of patients with liver trauma over a ten-year period at a tertiary academic level-one trauma center. A retrospective cohort study was conducted from January 2015 to December 2024. All adult patients (aged 18–65 years) who sustained blunt or penetrating liver injuries and underwent a pan-CT trauma survey were included. Demographic data, Injury Severity Scores (ISSs), imaging timelines, management approach, and clinical outcomes were analyzed. Statistical analysis was performed using JASP software with a significance threshold set at p < 0.05. A total of 111 patients were included, with a mean age of 33 ± 12.4 years; 78.1% were male. MVAs were the leading cause of injury (75.7%). Most patients (80.2%) had low-grade liver injuries and received non-operative management (NOM), with a high NOM success rate of 94.5%. The median time to CT was 55 ± 64 min, and the mean time to operative or IR intervention was 159.9 ± 78.8 min. Complications occurred in 32.4% of patients, with ventilator-associated pneumonia (19.8%) being most common. The overall mortality was 6.3%. Multivariate analysis revealed that shorter time to CT significantly reduced mortality risk (OR = 0.5, p < 0.05), while a positive e-FAST result was strongly associated with increased mortality (OR = 3.3, p < 0.05). Higher ISSs correlated with longer monitored unit stays (ρ = 0.3, p = 0.0014). Traumatic liver injuries in this cohort were predominantly low-grade and effectively managed conservatively, with favorable outcomes. However, delays in imaging and operative intervention were observed, underscoring the requirement for streamlined trauma workflows. These findings highlight the requirement for continuous trauma system improvement, including protocol optimization and timely access to imaging and surgical intervention. Full article

Background: The aim of this research was to evaluate the size of the effect of conservative methods based on exercises on the reduction in the kyphotic angle through a meta-analysis. Methods: In our research, we followed the Cochrane guidelines and the PRISMA guidelines. In October 2024, we searched the following databases: Scopus, Pub Med, Web of Science, and Cochrane Library. The following keywords were used for the search: (“Kyphosis” OR “Hyperkyphosis” OR “Kyphotic angle” OR “Spinal curve” OR “Sagittal spinal”) AND (“Conservative methods” OR “Conservative treatment” OR “Corrective exercise” OR “Physical exercise” OR “Exercise therapy” OR “Training”). The risk of bias was assessed for each randomized trial using the Cochrane Risk of Bias Tool and the Methodological Index for Non-Randomized Studies (MINORS). The study’s main outcome and estimated effects were the kyphotic angle. R 4.3.2 software with the meta package was used for analyses, and standardized mean difference (SMD) and 95% confidence interval (CI), a randomized model for continuous outcomes, were used as effect size. Results: Twenty-one studies were included in the qualitative analysis, while 19 studies were included in the quantitative analysis. Depending on the analysis, the effect sizes ranged from (SMD = 0.27 to SMD = 0.73). Heterogeneity ranged from 0% to 58%, while the quality of evidence (GRADE) ranged from very low to moderate. Conclusions: Our meta-analysis indicates the positive effects of applying conservative methods based on exercise in subjects without and with osteoporosis diagnosed with hyperkyphosis. Full article

Corrosion can accelerate the deterioration of the mechanical properties of steel structures. However, few studies have systematically evaluated its impact on seismic performance, particularly with respect to seismic economic losses. In this paper, the seismic fragility and loss assessment of a multi-story steel frame with viscous dampers (SFVD) building are investigated through experimental and numerical analysis. Based on corrosion and tensile test results, OpenSees software 3.3.0 was used to model the SFVD, and the effect of corrosion on the seismic fragility was evaluated via incremental dynamic analysis (IDA). Then, the economic losses of the SFVD during different seismic intensities were assessed at various corrosion times based on fragility analysis. The results show that as the corrosion time increases, the mass and cross-section loss rate of steel increase, causing a decrease in mechanical property indices, and theprobability of exceedance of the SFVD in the limit state increases gradually with increasing corrosion time, with an especially significant impact on the collapse prevention (CP) state. Furthermore, the economic loss assessment based on fragility curves indicates that the economic loss increases with corrosion time. Thus, the aim of this paper is to provide guidance for the seismic design and risk management of steel frame buildings in coastal regions throughout their life cycle. Full article

Background: Carfilzomib (CFZ) is a proteasome inhibitor with known cardiotoxic effects used in multiple myeloma (MM) treatment. Cardio-oncology guidelines recommend cardiovascular risk assessment via echocardiography. Left atrial strain (LAS) is not yet included as a marker of cardiotoxicity, but it is emerging as a potential indicator of cardiac dysfunction. Objective: This study evaluates LAS as a predictor of CFZ-related hypertensive cardiovascular adverse events (CVAEs) in MM patients, with or without prior hypertension. Methods: A total of 125 MM patients treated with CFZ at the Hypertension Center, “Città della Salute e della Scienza” in Turin, were enrolled. Baseline assessments included transthoracic echocardiography for LAS analysis via Philips QLAB software. Results: During CFZ therapy, 52% of patients experienced hypertensive events. LAS conduit was significantly impaired in those who experienced CVAEs (−16.20 [−20.75; −12.65] vs. −20.80 [−26.30; −15.40], p = 0.006) and LAS conduit > −22 acted as a predictor of hypertensive adverse events in the normotensive population (OR 2.37 [1.02; 5.50]). Conclusion: These findings indicate that alterations in LAS conduit are linked to an increased risk of hypertensive adverse events during CFZ treatment. Incorporating LAS measurement into cardiovascular risk assessments may improve personalized risk stratification for MM patients, especially those without pre-existing hypertension. Full article

Background/Objectives: Participation in sports activities is one of the risk factors for traumatic dental injuries. Nevertheless, little data are available in the literature on such problems in persons with disabilities. This study aims to evaluate the prevalence and severity of traumatic dental injuries in athletes with intellectual disabilities and other coexisting chronic diseases, as well as the use of mouthguards and the level of treatment of injuries in this population. Methods: The research was carried out in seven special needs schools. Two calibrated dentists performed dental examinations in 100 subjects practicing sports, aged 8–30 years (study group), and in 128 individuals, aged 8–25 years, who do not perform systematic physical activity (control group). Statistica Software v.10 was used for statistical analysis, with the level of statistical significance at p ≤ 0.05. Results: The majority of individuals had one tooth affected by traumatic injury in the study and control individuals, with the results amounting to 14% and 5%, respectively; the difference between both groups was statistically significant (p = 0.02). Only one athlete used a mouthguard during training and competitions. Restorative treatment of traumatically damaged teeth was performed in six athletes (37%) out of the total sixteen subjects affected by dental injuries from the study group and in two (15%) out of thirteen participants from the controls. Conclusions: This study reveals that dentists should be professionally prepared to meet the special needs of the population with disabilities and chronic disorders to minimize the burden of dental trauma. There is an urgent need for preventive programs for special needs athletes, their parents/caregivers, and trainers concerning the use of mouthguards. Full article

This study examines methods to improve the energy efficiency of radiofrequency inductively coupled plasma (RF-ICP) torches for radioactive waste treatment, with a focus on surpassing the typical energy efficiency limit of approximately 70%. To improve energy efficiency and plasma performance, this research investigates the transition from axial gas flow to vortex gas flow patterns using COMSOL Multiphysics software v6.2. Key plasma parameters, including energy efficiency, number of gas vortices, heat transfer, and temperature distribution, were analyzed to evaluate the improvements. The results indicate that adopting a vortex flow pattern increases energy conversion efficiency, increases heat flux, and reduces charge losses. Furthermore, optimizing the torch body design, particularly the nozzle, chamber volume, and gas entry angle, significantly improves plasma properties and energy efficiency by up to 90%. Improvements to RF-ICP torches positively impact waste decomposition by creating better thermal conditions that support resource recovery and potential material recycling. In addition, these improvements contribute to reducing secondary waste, mitigating environmental risks, and fostering long-term public support for nuclear technology, thereby promoting a more sustainable approach to waste management. Simulation results demonstrate the potential of RF-ICP flares as a cost-effective and sustainable solution for the thermal treatment of low- to intermediate-level radioactive waste. Full article

Background: Intracerebral hemorrhage management presents clinicians with a significant therapeutic challenge. Maintaining antiplatelet therapy potentially increases the risk of recurrent bleeding, while discontinuation heightens susceptibility to ischemic stroke, particularly during the critical first month after hemorrhage. In contemporary practice, physicians demonstrate considerable hesitancy regarding early antiplatelet reinitiation, complicated by the absence of clear evidence-based treatment guidelines. Aim: This meta-analysis assesses the safety of early antiplatelet resumption following ICH. Methods: We conducted a systematic review by searching Web of Science, Scopus, PubMed, and Cochrane Library from inception to April 2025. Articles were independently screened and data extracted by two reviewers who also assessed study quality. The inclusion criteria are enrollment of adults (≥18 years) with imaging-confirmed intracerebral hemorrhage surviving >24 h, comparing early vs. delayed or withheld antiplatelet therapy. Randomized trials underwent separate evaluation using Cochrane’s Risk of Bias. Statistical analysis was performed using R software (version 4.4.2), with categorical outcomes pooled as risk ratios (RRs) with 95% confidence intervals. Statistical significance was established at p < 0.05. The evidence is limited by the availability of few RCTs, variable antiplatelet regiments, male predominance, and other confounding factors. The review was registered in SFO. Results: Our meta-analysis included 10 studies (8 observational, 2 RCTs) with 5554 patients. Early antiplatelet therapy significantly reduced recurrent intracerebral hemorrhage by 46% (RR 0.54, 95% CI 0.37–0.78, p = 0.001). All-cause mortality showed a non-significant difference (RR 0.81, 95% CI 0.65–1.01, p = 0.06). No significant differences were found for ischemic stroke (RR 0.99, 95% CI 0.60–1.63, p = 0.96), major hemorrhagic events (RR 0.75, 95% CI 0.49–1.13, p = 0.17), or ischemic vascular outcomes (RR 0.71, 95% CI 0.49–1.02, p = 0.60). Conclusions: Our meta-analysis reveals that early antiplatelet therapy following intracerebral hemorrhage significantly reduces recurrent hemorrhagic events (46% reduction) without increasing major ischemic or hemorrhagic complications. Full article

Background/Objectives: Early childhood anemia is a severe public health concern and the most common blood disorder worldwide, especially in emerging countries. This study examines the sources of childhood anemia in Ghana through various societal, parental, and child characteristics. Methods: This research used data from the 2022 Ghana Demographic and Health Survey (GDHS-2022), which comprised 9353 children. Using STATA 13 and R 4.4.2 software, we analyzed maternal, social, and child factors using a model-building procedure, logistic regression analysis, and machine learning (ML) algorithms. The analyses comprised machine learning methods including decision trees, K-nearest neighbor (KNN), logistic regression, and random forest (RF). We used discrimination and calibration parameters to evaluate the performance of each machine learning algorithm. Results: Key predictors of childhood anemia are the father’s education, socioeconomic status, iron intake during pregnancy, the mother’s education, and the baby’s postnatal checkup within two months. With accuracy (94.74%), sensitivity (82.5%), specificity (50.78%), and AUC (86.62%), the random forest model was proven to be the most effective machine learning predictive model. The logistic regression model appeared second with accuracy (67.35%), sensitivity (76.16%), specificity (56.05%), and AUC (72.47%). Conclusions: Machine learning can accurately predict childhood anemia based on child and paternal characteristics. Focused interventions to enhance maternal health, parental education, and family economic status could reduce the prevalence of early childhood anemia and improve long-term pediatric health in Ghana. Early intervention and identifying high-risk youngsters may be made easier with the application of machine learning techniques, which will eventually lead to a healthier generation in the future. Full article

Due to the unique physicochemical properties of ammonia fuel, any leakages in the engine room will inevitably endanger ship safety. This study focuses on investigating the diffusion behavior of ammonia fuel within the engine room during ship navigation after leakage, aiming to identify hazardous points and implement measures, such as installing air-blowing and extraction devices, to mitigate the risks. To address potential leakage risks in ammonia-fueled ships, a simplified three-dimensional computational model was developed based on ship design drawings and field investigations. ANSYS Fluent software (2024 R2) was employed to simulate ammonia fuel leakage from pipelines and equipment, analyzing the diffusion patterns of leakage at different locations and evaluating the impact of adding air-blowing and extraction devices on leaked fuel in the engine room. The simulation results demonstrate that leakage at point 3 poses the greatest operational hazard, and ammonia fuel leakage during navigation generates combustible gas mixtures within the explosion limit range around the main engine, severely threatening both vessel safety and crew lives. Installing air-blowing and extraction devices in high-risk areas effectively reduces the explosion limit range of ammonia fuel, with air outlet 3 showing optimal mitigation effectiveness against ammonia fuel leakage during ship transportation. Full article

Suicide in children is a major global health crisis, with profound impacts on families, friends, and society. Understanding ways to ameliorate the rate of suicide attempt (SA) is critical given that it is a key factor in predicting future suicide risk. SA is the deliberate act of causing physical injury to oneself with the intent of death. The incidence of SA may be influenced by physical activity (PA). PA includes bodily movement via skeletal muscles that results in energy expenditure and physical fitness. While there is evidence to suggest that PA improves dysregulation of the parasympathetic nervous system which underpins the physiology of suicidal behaviour, evaluating the impact of PA on SA in children is required. Objectives: This systematic review aims to determine the relationship between PA and SA in children to inform alternative preventative and interventional strategies. Methods: This systematic review was registered with PROSPERO: CRD42023389415. Eight electronic databases were systematically searched. References were transferred to Covidence software for title and abstract screening and full text review were performed based on eligibility criteria: (1) children aged 6–18 years old; (2) participated in PA (individual, group exercise, or team sports); and (3) examined SA as a dependent variable. The JBI Checklist was used to measure the quality and level of bias of included studies. Results: Of the 2322 studies identified, 21 were included in the final analysis of the review. Twenty studies were cross-sectional in design, and one implemented a prospective study design. Thirteen studies (61.9%) yielded statistically significant results, indicating that increased PA, particularly team sport, may be associated with reduced odds of SA. There was some evidence to suggest that certain intensities and frequencies of PA may be beneficial to some and detrimental to other subgroups. Conclusions: The results suggest that PA may reduce the risk of suicide attempts. Although PA may be associated with reduced SA in children, future research is required, which (1) uses standardised outcome variables; (2) adopts longitudinal and experimental study designs; (3) explores qualitative research to determine distinctive factors that influence participation in PA not captured by quantitative research; and (4) examines different target populations such as children with a broad range of mental health issues. Full article

Mississippi has long been one of the most obese states in the U.S., with its obesity rates consistently exceeding the national average. The state’s severe obesity rate is also among the highest in the nation. This study utilized the 2011 to 2021 data from the Mississippi Behavioral Risk Factor Surveillance System (BRFSS) to conduct a comprehensive analysis of obesity and severe obesity trends in Mississippi by sex, age, and race and ethnicity. The data set included a BMI variable calculated by using self-reported height and weight, which the authors categorized into two obesity classification groups—obesity (BMI: 30.00 to 39.99) and severe obesity (BMI: 40.00 or greater)—and demographic characteristics such as sex, age, race and ethnicity. The data were analyzed using SAS 9.4 software to account for the complex design. Weighted prevalence estimates and associated standard errors (SEs) for obesity and severe obesity were calculated. Changes in the prevalence over time were assessed using logistic regression models. The prevalence estimates and SEs were exported to Joinpoint software to calculate the annual percentage change (APC) and associated 95% confidence intervals (CIs) and p-values for the trends. Our analysis of the data revealed a consistent increase in severe obesity, regardless of age, sex, or race. A concerning trend exists where individuals are moving from the obese category to the severely obese category, indicating a worsening trend in overall weight status. This is likely to accelerate the development of chronic disease and, hence, place additional strain on an economically disadvantaged state. Future research should explore the underlying drivers of this shift, including biological, behavioral, and socioeconomic factors, while also evaluating the effectiveness of existing obesity prevention and treatment programs. Full article

Background/Objectives: Guided implant surgery relies on the use of surgical templates to direct osteotomy drills, but guide design may influence irrigation efficiency, hence bone overheating, a critical factor in preventing thermal necrosis. This ex vivo study compared temperature changes when drilling using two guide designs: a closed-frame (occlusive structure) and an open-frame (non-occlusive design), evaluating their clinical relevance in mitigating overheating. Methods: Sixteen pig ribs were scanned, and implant osteotomies were planned via a guided surgery software. Two 3D-printed resin templates, one with a closed-frame design and one with an open-frame design, were tested (8 ribs per group, 24 implants per group). Drilling was performed sequentially (diameter of 1.9 mm, 3.25 mm, and 4.1 mm) at 800 rpm, while bone temperatures were recorded at depths of 3 mm and 10 mm using K-type thermo§s. Results: Significantly higher temperature rises were observed with the closed-frame guide. Drilling depth had also a significant influence, with higher temperatures at 3 mm than 10 mm (p < 0.001), suggesting that cortical bone density may amplify frictional heat. No significant effect of drill diameter was detected. Conclusions: Within the limitations of this ex vivo model, the open-frame design kept the maximal temperature rise about 0.67 °C lower than the closed-frame guide (1.22 °C vs. 0.55 °C), i.e., a 2.2-fold relative reduction was observed during the most demanding drilling step. This suggests a more efficient cooling capacity, especially in dense cortical bone, which offers a potential benefit for minimizing thermal risk in guided implant procedures. Full article

Background: Most of the existing hyperpolarized (HP) ¹³C MRI analyses use univariate rate maps of pyruvate-to-lactate conversion (k_PL), and radiomic-style multiparametric models extracting complex, higher-order features remain unexplored. Purpose: To establish a multivariate framework based on whole abdomen/pelvis HP ¹³C-pyruvate MRI and evaluate the association between multiparametric features of metabolism (MFM) and clinical outcome measures in advanced and metastatic prostate cancer. Methods: Retrospective statistical analysis was performed on 16 participants with metastatic or local-regionally advanced prostate cancer prospectively enrolled in a tertiary center who underwent HP-pyruvate MRI of abdomen or pelvis between November 2020 and May 2023. Five patients were hormone-sensitive and eleven were castration-resistant. GMP-grade [1-¹³C]pyruvate was polarized using a 5T clinical-research DNP polarizer, and HP MRI used a set of flexible vest-transmit, array-receive coils, and echo-planar imaging sequences. Three basic metabolic maps (k_PL, pyruvate summed-over-time, and mean pyruvate time) were created by semi-automatic segmentation, from which 316 MFMs were extracted using an open-source, radiomic-compliant software package. Univariate risk classifier was constructed using a biologically meaningful feature (k_PL,median), and the multivariate classifier used a two-step feature selection process (ranking and clustering). Both were correlated with progression-free survival (PFS) and overall survival (OS) (median follow-up = 22.0 months) using Cox proportional hazards model. Results: In the univariate analysis, patients harboring tumors with lower-k_PL,median had longer PFS (11.2 vs. 0.5 months, p < 0.01) and OS (NR vs. 18.4 months, p < 0.05) than their higher-k_PL,median counterparts. Using a hypothesis-generating, age-adjusted multivariate risk classifier, the lower-risk subgroup also had longer PFS (NR vs. 2.4 months, p < 0.002) and OS (NR vs. 18.4 months, p < 0.05). By contrast, established laboratory markers, including PSA, lactate dehydrogenase, and alkaline phosphatase, were not significantly associated with PFS or OS (p > 0.05). Key limitations of this study include small sample size, retrospective study design, and referral bias. Conclusions: Risk classifiers derived from select multiparametric HP features were significantly associated with clinically meaningful outcome measures in this small, heterogeneous patient cohort, strongly supporting further investigation into their prognostic values. Full article