Search Results (26,117)

Ecological security evaluation serves as the cornerstone for ecological management decision-making and spatial optimization. This study focuses on the Dongping Lake Basin. Based on the Pressure–State–Response (PSR) model framework, it integrates ecological risk, ecosystem health, and ecosystem service indicators. Utilizing methods including Local Indicators of Spatial Association (LISA), Transition Matrix, and GeoDetector, it analyzes the spatio-temporal evolution characteristics and driving mechanisms of watershed ecological security from 2000 to 2020. The findings reveal that the Watershed Ecological Security Index (WESI) exhibited a trend of “fluctuating upward followed by periodic decline”. In 2000, the status was “relatively unsafe”. It peaked in 2015 (index 0.332, moderately safe) and experienced a slight decline by 2020. Spatially, a significantly clustered pattern of “higher in the north and lower in the south, higher in the east and lower in the west” was observed. In 2020, “High-High” clusters of ecological security aligned closely with Shandong Province’s ecological conservation red line, concentrating in core protected areas such as the foothills of the Taihang Mountains and Dongping Lake Wetland. Level transitions were characterized by “predominant continuous improvement in low levels alongside localized reverse fluctuations in middle and high levels,” with the “relatively unsafe” and “moderately safe” levels experiencing the largest transfer areas. Geographical detector analysis indicates that the Human Interference Index (HI), Ecosystem Service Value (ESV), and Annual Afforestation Area (AAA) were key drivers of watershed ecological security change, influenced by dynamic interactive effects among multiple factors. This study advances watershed-scale ecological security assessment methodologies. The revealed spatio-temporal patterns and driving mechanisms provide valuable insights for protecting the ecological barrier in the lower Yellow River and informing ecological security strategies within the Dongping Lake Watershed. Full article

This study presents an approach based on machine learning (ML) techniques to analyze the relationship between emergency room (ER) admissions for cardiorespiratory diseases (CRDs) and environmental factors. The aim of this study is the development and verification of an interpretable machine learning framework applied to environmental and health data to assess the relationship between environmental factors and daily emergency room admissions for cardiorespiratory diseases. The model’s predictive accuracy was evaluated by comparing simulated values with observed historical data, thereby identifying the most influential environmental variables and critical exposure thresholds. This approach supports public health surveillance and healthcare resource management optimization. The health and environmental data, collected through meteorological sensors and air quality monitoring stations, cover eleven years (2013–2023), including meteorological conditions and atmospheric pollutants. Four ML models were compared, with XGBoost showing the best predictive performance (R² = 0.901; MAE = 0.047). A 10-fold cross-validation was applied to improve reliability. Global model interpretability was assessed using SHAP, which highlighted that high levels of carbon monoxide and relative humidity, low atmospheric pressure, and mild temperatures are associated with an increase in CRD cases. The local analysis was further refined using LIME, whose application—followed by experimental verification—allowed for the identification of the critical thresholds beyond which a significant increase in the risk of hospital admission (above the 95th percentile) was observed: CO > 0.84 mg/m³, P_atm ≤ 1006.81 hPa, Tavg ≤ 17.19 °C, and RH > 70.33%. The findings emphasize the potential of interpretable ML models as tools for both epidemiological analysis and prevention support, offering a valuable framework for integrating environmental surveillance with healthcare planning. Full article

Background: Undercover police work is a psychologically high-risk profession that exposes officers to chronic stress, identity conflicts, and moral dilemmas. The aim of the present review is to evaluate the psychological consequences associated with undercover police work, focusing on specific psychopathological risk factors. Methods: A systematic search was conducted in PubMed, PsycINFO, Web of Science, and Scopus databases. Studies were conducted in the United States, the United Kingdom, New Zealand, and Canada. The present systematic review analyzed data from 380 current undercover operatives, 372 former UCOs, 578 officers without undercover experience, and 60 pre-operational agents. Results: From an initial pool of 365 records, 10 studies were identified, of which 6 met the inclusion criteria. The most frequently reported psychological risk factors included anxiety, hypervigilance, identity issues, dissociative symptoms, and substance misuse. These were assessed using validated self-report instruments (e.g., SCL-90), structured interviews, and clinical evaluations. Long-term consequences were more prominent post-deployment, particularly among former UCOs. Conclusions: Undercover work is associated with an elevated risk of mental health problems, especially after the end of operations. Future research should focus on standardizing assessment tools and identifying protective factors. The findings support the development of targeted interventions such as pre-deployment psychological screening, ongoing monitoring, and structured reintegration programs to safeguard UCOs’ well-being. Full article

Metabolic syndrome comprises a constellation of comorbidities, including obesity, hypertension, and disorders in carbohydrate and lipid metabolism, associated with an elevated risk of cardiovascular mortality. Obesity is regarded as the principal cause of metabolic syndrome (both collectively and in relation to its components), frequently linked in previous scientific studies with a deficiency of magnesium, one of the most important cations found in the human body. Objectives: The objective of this study was to assess the prevalence of hypomagnesemia in patients with metabolic syndrome and to determine the most significant risk factor among its components for this nutritional deficiency. Methods: Retrospective medical data from 403 patients admitted to the hospital for conditions unrelated to magnesium levels from 2015 to 2019 were evaluated, encompassing serum magnesemia and specific data about components of metabolic syndrome. Data underwent statistical analysis, including linear and logistic regression, to assess the principal risk variables of hypomagnesemia. Results: Hypomagnesemia was observed in 14.89% of the patients with metabolic syndrome, exhibiting a 2.42-fold greater risk of this deficiency (95%CI: 1.40–3.40). Among the components of metabolic syndrome, hyperglycemia emerged as the most significant determinant affecting both the incidence and severity of hypomagnesemia, elevating the risk by a ratio of 2.72 (95%CI: 1.52–4.87). In the multivariate regression model, hyperglycemia was the sole factor independently influencing magnesium concentration (β = −0.145; p < 0.001). Conclusions: Patients presenting signs of metabolic syndrome are at heightened risk for hypomagnesemia. Hyperglycemia appears to be the most important variable affecting the risk of magnesium insufficiency; however, additional research is needed in this area. Full article

Background: Double-valve infective endocarditis (DVIE) accounts for 15–20% of all endocarditis and represents a challenge due to the increased incidence of embolic events and congestive heart failure compared to infective endocarditis (IE) affecting one valve. This study aims to evaluate patients’ characteristics, surgical procedures, complications, and mortality associated with DVIE in our tertiary hospital in Italy. The Endocarditis Registry STEADY includes patients admitted with IE from January 2009 to March 2024 (n = 398). Sixty-three of them (16%) had DVIE. Methods: We conducted a retrospective single-center observational study, analyzing demographic, clinical, and microbiological data in DVIE patients, comparing those treated surgically (surgical group, SG) with those treated medically (non-surgical group, NSG). Results: The groups were homogeneous in age, microbiological yields, type of valve involved, and risk factors for infective endocarditis. The surgical group presented significantly more cancer history, intracardiac complications, and new-onset arrhythmias compared to the non-surgical group. Median hospital stay was similar in both groups. In SG, the most common postoperative complication was new rhythm disorders; other complications such as cardiac tamponade, pericardial effusion, and pneumothorax were rare. In-hospital mortality was similar between groups; however, one-year survival was higher in the surgical group (72% vs. 54%, p = 0.031). In our series, 16 patients were over 75 years old (25%), and 7 of them (44%) underwent cardiac surgery. One-year survival in the surgical group was also higher in this subgroup. Conclusions: Surgical treatment, when indicated, may improve the prognosis of patients with DVIE, including elderly patients. Full article

Background: Cerebral palsy (CP) is a lifelong neurodevelopmental disorder characterised by motor impairment and commonly associated with comorbidities such as cognitive, communicative, and behavioural difficulties. While the physical and functional aspects of CP have been extensively studied, the mental health needs of this population remain largely underexplored, particularly concerning suicidal ideation and self-injurious behaviours. The purpose of this review is to synthesise the existing literature on suicidality in individuals with CP, explore theoretical and clinical risk factors, and identify key gaps in the current evidence base. Methods: A narrative literature review was conducted focusing on studies addressing suicidal ideation, self-harm, or related psychiatric outcomes in individuals with CP. Additional literature on risks and protective factors was included to support theoretical inferences and clinical interpretations. Results: Only a limited number of studies addressed suicidality directly in CP populations. However, several reports document elevated rates of depression, anxiety, and emotional distress, particularly among adults and individuals with higher levels of functioning. Communication barriers, chronic pain, social exclusion, and lack of accessible mental health services emerged as critical risk factors. Protective elements included strong family support, inclusive environments, and access to augmentative communication. Conclusions: Suicidality in individuals with CP is a neglected yet potentially serious concern. Evidence suggests underdiagnosis due to factors such as communication barriers and diagnostic overshadowing. Future research should prioritise disability-informed methodologies and validated tools for suicidal ideation, while clinicians should incorporate routine, adapted mental health screening in CP care to ensure early detection and person-centred management. Full article

This cross-sectional study aims to identify clusters of internalizing and externalizing traits during adolescence using a bottom-up approach. The second aim is to investigate whether the different clusters differ by environmental risk factors and specific epigenetic profiles. A total of 205 adolescents, who had been referred for psychopathology in childhood, were recruited. Behavioral problems were assessed using the Child Behavior Checklist/6–18 (CBCL). Different clusters of psychopathological profiles were analyzed using a Finite mixture model. Differences in environmental risk factors and epigenetic profiles were tested with χ²-tests and Bonferroni-corrected t-tests. Two clusters were identified: a LOW cluster (51% of the sample), characterized by the presence of subclinical mean scores in both internalizing and externalizing problems, and a HIGH cluster (49% of the sample), characterized by high mean scores in both domains. The HIGH cluster had a significantly greater number of perinatal complications and changes in methylation of specific CpG sites of Brain-derived neurotrophic factor, Insulin-like growth factor-2, and Oxytocin receptor, whereas no difference was found for FK506-binding protein 5. Our results confirm the existence of a strong association between early adverse events, DNA methylation, and the presence of behavioral problems and psychopathological traits in adolescence. Full article

A cross-sectional study was conducted in Bangladesh from January 2023 to December 2024 to assess the prevalence of BVDV antibodies and associated risk factors in dairy herds. Initially, 138 bulk milk samples were collected from herds across 14 districts and screened using a commercial ELISA for BVDV antibodies. Subsequently, 767 individual milk samples were tested from cows in herds that screened positive. The overall herd-level seroprevalence was 72.5% (95% CI: 64.1–79.6), while the cow-level seroprevalence was 93.3% (95% CI: 91.3–94.9%). Within-herd seroprevalence varied from 81.8% to 100%. Herds with more than 70 cows had 31.95 times higher odds of BVDV seropositivity than those with 13–23 cows. BVD seroprevalence was significantly higher in the third, fifth, and eighth semen sources compared to the reference source. Cows older than 8 years had 4.53 times higher odds of seropositivity than those aged up to 4 years. Cows in thin physical condition had 13.02 times higher odds of seropositivity than those in normal condition. Conversely, cows producing over 8.8 kg of milk daily had a significantly lower seroprevalence of BVDV compared to those producing less than 8.8 kg, with an odds ratio of 0.41 (95% CI: 0.17–0.98). These findings suggest that BVDV exposure is widespread in dairy herds in Bangladesh. Regular serological screening, the use of semen from BVD-free bulls, and prioritizing surveillance for thin cows and low milk producers are essential. Improving nutrition, herd management, and targeted monitoring may help reduce BVDV transmission and improve herd productivity. Full article

Obstructive sleep apnea (OSA) syndrome is a severe, debilitating, and pervasive sleep disorder. OSA mainly affects people with obesity, type 2 diabetes mellitus (T2DM), hypertension, and dyslipidemia and is strongly associated with cardiovascular complications. Based on the bidirectional relationship between T2DM and OSA, the latter represents a risk factor for the former, and, vice versa, people with T2DM have a high risk of OSA. Mechanical and hormonal factors, inflammatory mediators, and a dysregulated autonomic nervous system contribute to the mechanisms underlying the disease. Treatment of OSA is necessary even if the available remedies are not always effective. In addition to traditional treatments, including lifestyle adaptations and bariatric surgery, CPAP equipment, i.e., a breathing device ensuring continuous positive pressure to keep the airways open during sleep, represents the most common treatment tool. More recently, pharmacological research has paved the way to newer seemingly effective therapeutic strategies involving, in particular, two hypoglycemic agent classes, i.e., sodium–glucose co-transporter 2 inhibitors (SGLT2-is) and glucagon-like peptide-1 (GLP-1) receptor agonists (GLP1-ras). This narrative review provides an update on all of the above. Full article

Moyamoya disease (MMD) is primarily associated with genetic variants in RNF213. RNF213 p.R4810K (c.14429G>A, p.Arg4810Lys) is a founder variant predominantly found in East Asian populations and is strongly associated with MMD, a rare cerebrovascular condition characterized by progressive stenosis of intracranial arteries and the development of abnormal collateral networks. Recent evidence suggests that RNF213 variants are also enriched in non-moyamoya intracranial arteriopathies, such as large-artery atherosclerotic stroke and intracranial arterial stenosis/occlusion (ICASO), particularly in east Asian individuals with early-onset or cryptogenic stroke. This expanded phenotypic spectrum, termed RNF213-related vasculopathy (RRV), represents a distinct pathogenic entity that may involve unique pathogenic processes separate from traditional atherosclerosis. In this review, we synthesize current genetic, clinical, radiological, and experimental findings that delineate the unique features of RRV. Patients with RRV typically exhibit a lower burden of traditional vascular risk factors, negative vascular remodeling in the absence of atheromatous plaques, and an increased propensity for disease progression. RNF213 variants may compromise vascular resilience by impairing adaptive responses to hemodynamic stress. Furthermore, emerging cellular and animal model data indicate that RNF213 influences angiogenesis, lipid metabolism, and stress responses, offering mechanistic insights into its role in maintaining vascular integrity. Recognizing RRV as a distinct clinical entity has important implications for diagnosis, risk stratification, and the development of genome-informed therapeutic strategies. Full article

Background: Neuropathic pain (NP), resulting from damage to the somatosensory nervous system, affects 7–10% of the global population and remains poorly managed despite available therapies. Smoking has been associated with increased pain severity and disease burden, yet its role in neuropathy/NP has not been systematically reviewed. This systematic review synthesizes the existing literature on smoking status and its relationship with neuropathy/NP incidence, prevalence, and severity. Methods: The review was conducted in accordance with PRISMA guidelines and included studies that assessed smoking consumption, dependency, quantity, and cessation in individuals with neuropathy/NP. Summary estimates were stratified by exposure type, and pooled odds ratios and relative risks were calculated. Results: Across 62 studies comprising cohort, case–control, and cross-sectional designs, smoking was consistently associated with greater NP prevalence and pain severity. Smoking dependency was linked to increased incidence, while cessation was associated with reduced risk of NP. Despite considerable heterogeneity and risk of bias, particularly from subjective exposure measurement and inconsistent classification, this relationship remained statistically significant. Conclusions: Findings support the role of smoking as a modifiable risk factor in various etiologies of neuropathy/NP. Cessation may represent a low-cost, low-risk, low-tech adjunctive therapy; however, further robust cessation interventional trials are needed, particularly for less common infectious causes of chronic NP such as leprosy. Full article

Background: Traumatic adrenal injury (TAI) is a rare but significant condition that affects 2.5% of patients with thoracoabdominal trauma. The impact of adrenal hematoma volume on clinical outcomes remains underexplored. This study aimed to evaluate factors associated with morbidity and mortality in patients with TAI, with a particular focus on adrenal hematoma volume as a predictive marker. Methods: Retrospective data from patients with radiologically confirmed TAI between 2013 and 2023 was analyzed. Clinical, demographic, and radiological variables were reviewed. Hematoma volume was calculated from computed tomography (CT) imaging and analyzed using univariate and multivariate models. Receiver operating characteristic (ROC) analysis was employed to evaluate its predictive accuracy. Results: Sixty patients were included in the study. The median hematoma volume was 16.0 cm³, with a predominance of injuries on the right side. The morbidity and mortality rates were 18.3% and 8.3%, respectively. Univariate analysis identified a lower Glasgow Coma Scale (GCS) score, higher Injury Severity Score (ISS), and increased hematoma volume as significant factors. In multivariate analysis, hematoma volume and GCS score remained independent predictors of adverse outcomes. A volume threshold of >23 cm³ was associated with significantly higher morbidity and mortality (AUC = 0.80, 95% CI: 0.68–0.92). Conclusions: This study is the first to demonstrate that the volume of adrenal hematoma is an independent predictor of adverse outcomes in patients with traumatic adrenal injury. Integrating volume into clinical assessment may help identify high-risk patients requiring improved observation and management. Full article

Background: Arteriovenous fistulas (AVFs) may contribute to cardiac remodeling and consequently to an increased risk of heart failure and cardiovascular mortality in patients with end-stage kidney disease (ESKD). We aimed to assess cardiac changes following AVF creation and identify potential parameters associated with cardiac remodeling. Methods: In our prospective, single-center study, ESKD patients without significant pre-existing cardiac disease underwent 2D and 3D echocardiographic evaluation before and after AVF creation, along with AVF flow measurement. Cardiac remodeling was assessed using 3D indexed left and right ventricular end-diastolic volumes (LVEDVi, RVEDVi), while systolic function was assessed using longitudinal strain and 3D ejection fraction. Results: We included 20 patients (18 men; median age 73.5 years [IQR: 67–77]) with a mean AVF flow of 1140 ± 345 mL/min. At a median of 8.2 months (IQR: 7.3–9.3) following AVF creation, significant biventricular dilatation was observed: LVEDVi increased from 89 ± 14 to 97 ± 21 mL/m² (p < 0.05) and RVEDVi from 80 ± 15 to 91 ± 18 mL/m² (p < 0.05), while the systolic function of both ventricles did not change significantly. The right ventricle showed the most pronounced remodeling and it was independently associated with volume overload (p = 0.003) and elevated left ventricular filling pressure (p = 0.030), but not with AVF flow. Conclusions: Moderate AVF flow was associated with cardiac remodeling, primarily affecting the right ventricle. Fluid overload and left ventricular filling pressure were key factors associated with right ventricular remodeling, underscoring the need for careful fluid management and vascular access planning in ESKD patients. Full article

Background: Visual impairment (VI) continues to be a significant global public health concern, especially in underserved rural communities. Objectives: This study aims to assess the prevalence of VI and refractive errors, as well as to identify the causes and risk factors associated with VI in Duhknah, a rural area in Qassim Province, Saudi Arabia. Methods: This cross-sectional study, conducted in May 2024, included 929 participants aged 6–90 years from Duhknah, a rural area in Qassim Province, Saudi Arabia. Refractive errors (REs) were measured using a non-cycloplegic autorefractometer. Anterior and posterior eye examinations were performed using slit lamp biomicroscopy, direct ophthalmoscopy, and 90 D fundus biomicroscopy. VI was classified based on the International Classification of Diseases 11th revision (ICD-11), 2018. Results: The findings revealed that 671 (72.2%) participants had never undergone an eye examination. The overall prevalence of presenting VI was 370 (39.8%), comprising 21.6% with mild VI, 11.0% moderate, 4.1% severe, and 3.1% classified as blind. The prevalence of hyperopia, myopia, and astigmatism was 20.6%, 36.9%, and 13.2%, respectively. Uncorrected REs were the most common cause of VI (81.4%), followed by amblyopia (13.5%) and cataracts (3.2%). Regression analysis showed that women had 1.58 times higher odds of VI (p = 0.001). Participants with eye examinations for one year or more had 3.64 times higher odds (p < 0.001). Additionally, the risk of VI was significantly lower among older participants (ages 18–90) compared to younger ones (ages 6–17), (p < 0.001). Conclusions: This study found most participants had never had an eye exam, and VI was highly prevalent in the rural community. These findings underscore the need to strengthen primary eye care in rural Saudi Arabia. Regular vision screening, particularly for children, and better access to refractive services could significantly reduce VI and support the goals of Saudi Vision 2030. Full article

Vitamin D has emerged as a modulatory factor in the pathogenesis and management of diabetes mellitus due to its influence on pancreatic β-cell function, immune regulation, and inflammatory pathways. This narrative review critically examines mechanistic and clinical evidence linking vitamin D status with type 1 diabetes (T1DM), type 2 diabetes (T2DM), and gestational diabetes (GDM). In T1DM, vitamin D’s immunomodulatory effects are thought to protect β-cells from autoimmune destruction; epidemiological studies associate vitamin D sufficiency with lower T1DM incidence and improved glycemic control, although causality remains under investigation. In T2DM, vitamin D deficiency is associated with worsened metabolic control and may contribute to disease development in at-risk individuals; however, it does not influence the initial onset of T2DM in patients who are already diagnosed. Intervention trials indicate that correcting the deficiency can modestly improve insulin sensitivity, β-cell function, and metabolic parameters. GDM has similarly been linked to hypovitaminosis D, with low maternal vitamin D levels associated with higher GDM risk and adverse perinatal outcomes; mechanistic insights suggest that adequate vitamin D supports glucose homeostasis in pregnancy, and emerging trials demonstrate improved insulin resistance with maternal vitamin D supplementation. Across these diabetes subtypes, maintaining sufficient vitamin D levels appears to confer metabolic benefits and may serve as an adjunct to current preventive and therapeutic strategies. However, definitive evidence from large-scale trials is required to establish optimal vitamin D supplementation protocols and confirm its efficacy in diabetes care. Full article