Search Results (669)

Background/Objectives: Acute kidney injury (AKI) is a common and severe complication in patients with acute myocardial infarction (AMI). Very elderly patients are at a heightened risk of developing AKI. Fibrinogen and albumin are well-known biomarkers of inflammation and nutrition, which are highly related to AKI. We aim to explore the predictive value of the fibrinogen-to-albumin ratio (FAR) for AKI in very elderly patients with AMI. Methods: A retrospective cohort of AMI patients ≥ 75 years old hospitalized at the First Affiliated Hospital of Xi’an Jiaotong University between January 2018 and December 2022 was established. Clinical data and medication information were collected through the biospecimen information resource center at the hospital. Univariate and multivariable logistic regression models were used to analyze the association between FAR and the risk of AKI in patients with AMI. FAR was calculated as the ratio of fibrinogen (FIB) to serum albumin (ALB) level (FAR = FIB/ALB). The primary outcome is acute kidney injury, which was diagnosed based on KDIGO 2012 criteria. Results: Among 1236 patients enrolled, 66.8% of them were male, the median age was 80.00 years (77.00–83.00), and acute kidney injury occurred in 18.8% (n = 232) of the cohort. Comparative analysis revealed significant disparities in clinical characteristics between patients with or without AKI. Patients with AKI exhibited a markedly higher prevalence of arrhythmia (51.9% vs. 28.1%, p < 0.001) and lower average systolic blood pressure (115.77 ± 25.96 vs. 122.64 ± 22.65 mmHg, p = 0.013). In addition, after adjusting for age, sex, history of hypertension, left ventricular ejection fraction (LVEF), and other factors, FAR remained an independent risk factor for acute kidney injury (OR = 1.47, 95%CI: 1.36–1.58). ROC analysis shows that FAR predicted stage 2–3 AKI with superior accuracy (AUC 0.94, NPV 98.6%) versus any AKI (AUC 0.79, NPV 93.0%), enabling risk-stratified management. Conclusions: FAR serves as both a high-sensitivity screening tool for any AKI and a high-specificity sentinel for severe AKI, with NPV-driven thresholds guiding resource allocation in the fragile elderly. Full article

Introduction: Septic-induced cardiomyopathy (SICM) is a life-threatening condition in patients with septic shock. Persistent hypoperfusion despite adequate volume status and vasopressor use is associated with poor outcomes and is currently managed with inotropes. However, the superiority of available inotropic agents remains unclear. This meta-analysis aims to determine which inotropic agent may be more effective in this clinical scenario. Methods: A systematic review and meta-analysis were conducted, including data from randomized clinical trials (RCTs) comparing levosimendan and dobutamine in patients with septic shock and persistent hypoperfusion. Summary effect estimates, including odds ratios (ORs), standardized mean differences (SMDs), and 95% confidence intervals (CIs), were calculated using a random-effects model. Trial sequential analysis (TSA) was also performed. Results: Of 244 studies screened, 11 RCTs were included. Levosimendan was associated with a reduction in in-hospital mortality (OR 0.64; 95% CI: 0.47; 0.88) and ICU length of stay (SMD 5.87; 95% CI: –8.37; 20.11) compared with dobutamine. Treatment with levosimendan also resulted in significant reductions in BNP (SMD –1.87; 95% CI: –2.45; −1.2) and serum lactate levels (SMD –1.63; 95% CI: –3.13; −0.12). However, TSA indicated that the current evidence is insufficient to definitively confirm or exclude effects on in-hospital and 28-day mortality. Conclusions: Levosimendan may improve hemodynamics, tissue perfusion, and biomarkers, and may reduce in-hospital mortality and ICU length of stay in patients with SICM compared with dobutamine. However, TSA highlights the need for further studies to inform clinical practice and optimize inotrope selection. Full article

Background/Objectives: Biofeedback interventions are increasingly utilized in pediatric and adult care, with evidence in treating specific medical conditions and specific symptoms. However, evidence supporting their efficacy among children and adolescents and young adults (AYAs, aged 15–39) with cancer is limited. The aims of this systematic review are to present, assess, and synthesize the existing research on biofeedback in pediatric and AYA oncology, identify gaps in biofeedback research within this population, and provide recommendations for future research and clinical implications. Methods: A systematic search for articles was conducted using six bibliographic databases—PubMed/MEDLINE (NLM), EMBASE (Elsevier), CINAHL (EBSCO), SPORTDiscus (EBSCO), PsycINFO (OVID), and PEDro (NeuRA)—with an update on 5/7/2025. Included were studies involving pediatric/AYA oncology participants (0–39 years old) and those receiving at least one biofeedback modality. The methodological quality and risk of bias among included articles were assessed using the Cochrane Risk of Bias (ROB) Tool (modified version for non-randomized studies). A narrative synthesis of included studies examined the type of cancer studied, type of biofeedback used, study designs and methodological quality, and key outcomes evaluated. Results: While the literature suggests that biofeedback may offer beneficial outcomes for managing various pediatric/AYA oncology-related symptoms, such as pain, anxiety, and fatigue, only 8 studies out of 1013 screened (<1%) met inclusion criteria. Limitations included low study quality (small sample sizes, lack of control groups, and methodological inconsistencies). Conclusions: While biofeedback shows promise as a feasible and effective intervention, there is a call to action for well-designed, methodologically rigorous studies to substantiate its effectiveness and inform evidence-based practice specifically for pediatric/AYA oncology patients and clinicians. Full article

Background: There is little information about the effectiveness of oral nutritional supplements (ONS) in combatting nutrient inadequacies in primary care, where most malnutrition exists. Aim: To examine the extent to which readymade ONS add or displace the nutrients consumed in the diet and their impact on combatting dietary inadequacies. Methods: 308 free-living people >50 years with medium + high risk of malnutrition (Malnutrition Universal Screening Tool) were randomised to receive readymade low volume (2.4 kcal/mL), liquid ONS plus dietary advice (ONS + DA) or dietary advice alone (DA). Intake was assessed at baseline (24 h recall) and 4-weekly for 12 weeks (3-day diet record). Total nutrient intake was benchmarked against UK and European dietary reference values (DRVs). The proportion of energy and nutrients from the ONS that added or displaced those from the diet (net addition/displacement) was calculated. Results: ONS + DA led to significantly greater total energy and nutritional intakes, with 25/29 nutrient intakes significantly higher than with DA alone. There were no significant differences in dietary energy and nutrient intakes from food between the groups. There was little or no displacement of nutrients from the diet, with over 90% of the energy and nutrients consumed in the ONS additive to the diet. ONS + DA more than halved the number of people with nutrient intakes that failed to meet DRVs and the number of nutrients per person that did not meet DRVs compared to DA alone. Conclusions: Supplementation with readymade, low volume (2.4 kcal/mL) liquid ONS overcomes most nutrient intake inadequacies in malnourished older people in primary care without significantly reducing intake from the diet. This makes ONS an effective way to improve nutritional intakes above dietary advice alone to improve the outcomes for the management of older people at risk of malnutrition. Full article

Heritage Building Information Modeling (HBIM) has emerged as a key tool in advancing heritage conservation and sustainable management. Preceding reviews had typically concentrated on specific technical aspects but did not provide sufficient bibliometric analysis. This study aims to integrate existing HBIM research to identify key research patterns, emerging trends, and forecast future directions. A total of 1516 documents were initially retrieved from the Web of Science Core Collection using targeted search terms. Following a relevance screening, 1175 documents were related to the topic. CiteSpace 6.4.R1, VOSviewer 1.6.20, and Bibliometrix 4.1, three bibliometric tools, were employed to conduct both quantitative and qualitative assessments. The results show three historical phases of HBIM, identify core journals, influential authors, and leading regions, and extract six major keyword clusters: risk assessment, data acquisition, semantic annotation, digital twins, and energy and equipment management. Nine co-citation clusters further outline the foundational literature in the field. The results highlight growing scholarly interest in workflow integration and digital twin applications. Future projections emphasize the transformative potential of artificial intelligence in HBIM, while also recognizing critical implementation barriers, particularly in developing countries and resource-constrained contexts. This study provides a comprehensive and systematic framework for HBIM research, offering valuable insights for scholars, practitioners, and policymakers involved in heritage preservation and digital management. Full article

Background: Tobacco use is disproportionately high in rural areas, contributing to elevated cancer mortality, yet it often goes untreated due to limited access to care, high poverty and uninsured rates, and co-occurring substance use disorders (SUDs). This study explored the utility of using rapid qualitative analysis (RQA) to guide the adaptation of a tobacco-free workplace program (TFWP) in Texas healthcare centers serving adults with SUDs in medically underserved areas. Methods: From September–December 2023 and May–July 2024, we conducted 11 pre-implementation, virtual semi-structured group interviews focused on adapting the TFWP to local contexts (N = 69); 7 with providers (n = 34) and managers (n = 12) and 4 with patients (n = 23) in 6 healthcare centers. Two qualified analysts independently summarized transcripts, using RQA templates of key domains drawn from interview guides to summarize and organize data in matrices, enabling systematic comparison. Results: The main themes identified were minimal organizational tobacco cessation support and practices, and attitudinal barriers, as follows: (1) the need for program materials tailored to local populations; (2) limited tobacco cessation practices and partial policies—staff requested guidance on enhancing tobacco screenings and cessation delivery, and integrating new interventions; (3) contradictory views on treating tobacco use that can inhibit implementation (e.g., wanting to quit yet anxious that quitting would cause SUD relapse); and (4) inadequate environmental supports—staff requested treating tobacco-use training, patients group cessation counseling; both requested nicotine replacement therapy. Conclusions: RQA identified key areas requiring capacity development through participants’ willingness to adopt the following adaptations: program content (e.g., trainings and tailored educational materials), delivery methods/systems (e.g., adopting additional tobacco care interventions) and implementation strategies (e.g., integrating tobacco cessation practices into routine care) critical to optimizing TFWP fit and implementation. The study findings can inform timely formative evaluation processes to design and tailor similar intervention efforts by addressing site-specific needs and implementation barriers to enhance program uptake. Full article

Background: Psychological problems post-stroke can negatively impact stroke survivors. Although general psychological services exist (e.g., NHS Talking Therapies), access remains limited, particularly for individuals with post-stroke communication and cognitive impairments. Stroke service staff report low confidence in managing psychological distress. This study is the first to explore the barriers and facilitators to implementing a novel intervention package comprising a cross-service care pathway and staff training to enhance post-stroke psychological provision. Methods: Staff from stroke and mental health services in four UK regions, recruited through purposive sampling to ensure diversity of services and professional roles, participated in semi-structured interviews or focus groups, guided by the Theoretical Domains Framework (TDF), before and after implementation of the intervention package. Pre-implementation interviews/groups identified anticipated barriers and facilitators to implementation and training needs, informing the development of site-specific intervention packages; post-implementation interviews/groups explored experienced barriers, facilitators and perceptions of the intervention. Interviews underwent thematic analysis using the TDF. Results: Fifty-five staff participated pre-implementation and seventeen post-implementation, representing stroke (e.g., nurse, physiotherapist, consultant) and psychology (e.g., counsellor, psychological therapist) roles across acute, rehabilitation, community, and voluntary services. Challenges anticipated pre-implementation included: limited specialist post-stroke psychological support; low staff confidence; and fragmented service pathways. Post-implementation findings indicated increased staff knowledge and confidence, enhanced screening and referral processes, and stronger inter-service collaboration. Implementation success varied across sites (with some sites showing greater ownership and sustainability of the intervention) and across staff roles (with therapy staff more likely than nursing staff to have received training). Conclusions: Effective implementation of an intervention package to increase psychological provision post-stroke requires staff engagement at all levels across all services. Staff investment influenced ownership of the intervention package, beliefs about priorities and overall enhancement of service capability. Full article

Background/Objectives: Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes mellitus and a leading cause of vision impairment worldwide. Early detection and timely management are critical in preventing vision loss, yet current screening programs face challenges, including limited specialist availability and variability in diagnoses, particularly in underserved areas. This literature review explores the evolving role of artificial intelligence (AI) in enhancing the diagnosis, screening, and management of diabetic retinopathy. It examines AI’s potential to improve diagnostic accuracy, accessibility, and patient outcomes through advanced machine-learning and deep-learning algorithms. Methods: We conducted a non-systematic review of the published literature to explore advancements in the diagnostics of diabetic retinopathy. Relevant articles were identified by searching the PubMed and Google Scholar databases. Studies focusing on the application of artificial intelligence in screening, diagnosis, and improving healthcare accessibility for diabetic retinopathy were included. Key information was extracted and synthesized to provide an overview of recent progress and clinical implications. Conclusions: Artificial intelligence holds transformative potential in diabetic retinopathy care by enabling earlier detection, improving screening coverage, and supporting individualized disease management. Continued research and ethical deployment will be essential to maximize AI’s benefits and address challenges in real-world applications, ultimately improving global vision health outcomes. Full article

Background: The mechanisms linking loneliness to frailty in older adults with diabetes remain unclear. Guided by the Loneliness–Health Outcomes Model, this study is the first to simultaneously validate the dual mechanisms (mediation and moderation) of social support in the loneliness–frailty relationship among older Chinese adults with diabetes. Methods: A cross-sectional study enrolled 442 community-dwelling adults aged ≥60 years with type 2 diabetes in Beijing. Standardized scales assessed loneliness (UCLA Loneliness Scale), frailty (Tilburg Frailty Indicator), and social support (SSRS). Analyses included Pearson’s correlations, hierarchical regression, and PROCESS macro to evaluate mediating/moderating effects, after adjusting for demographics and comorbidities. Results: The frailty prevalence was 55.2%. Loneliness was positively correlated with frailty (r = 0.327, p < 0.01), while social support showed inverse associations with both loneliness (r = −0.496) and frailty (r = −0.315) (p < 0.01). Social support partially mediated loneliness’s effect on frailty (indirect effect: 30.86%; 95% CI: 0.028–0.087) and moderated this relationship (interaction β = −0.003, p = 0.011). High-risk clusters (e.g., aged ≥80 years, widowed, and isolated individuals) exhibited combined “high loneliness–low support–high frailty” profiles. Conclusions: Social support reduces the frailty risk through dual mechanisms. These findings advocate for tiered clinical interventions: (1) targeted home-visit systems and resource allocation for high-risk subgroups (e.g., solo-living elders aged ≥80 years); and (2) the integration of social support screening into routine diabetes care to identify individuals below the protective threshold (SSRS < 45.47). These findings advance psychosocially informed strategies for diabetes management in aging populations. Full article

Background: Medication adherence is essential for managing chronic conditions, while non-adherence remains a widespread issue, leading to poorer health outcomes and higher healthcare costs. This study aimed to identify key adherence barriers, explore their relationship with patient satisfaction, and assess their impact on overall well-being among ambulatory patients in Albania. Methods: A cross-sectional study was conducted in three public urban health centers in Vlora, Albania, between November 2024 and January 2025. A total of 80 ambulatory patients were recruited using convenience sampling. Data were collected through face-to-face interviews using validated questionnaires, including the Adherence Barriers Questionnaire (ABQ), the Patient Satisfaction with Nursing Care Quality Questionnaire (PSNCQQ), and the Patient Health Questionnaire (PHQ-9) for depression screening. Results: The study included 80 ambulatory patients (mean age 66.7 years; 48.7% female), predominantly diagnosed with diabetes (42.5%) and rheumatic diseases (36.3%). All participants reported at least one adherence barrier, with 92.5% experiencing multiple barriers. The most common were financial burden (91.3%) and fear of side effects (77.5%). A significant positive correlation was found between adherence barriers and depression severity (ρ = 0.518, p < 0.0001), while patient satisfaction did not significantly influence adherence barriers (ρ = −0.217, p = 0.053) or depression severity (ρ = −0.004, p = 0.969). Multiple regression analysis showed that higher depression severity (p = 0.0049) was significantly associated with greater adherence barriers, while postgraduate education was associated with fewer barriers (p = 0.0175). Conclusions: Financial burden, fear of side effects, and psychological distress are key barriers to adherence among Albanian ambulatory patients. Although there are limitations inherent to the cross-sectional design and modest sample size, our findings highlight the potential benefit of routine mental health screening, targeted financial support, and improved patient education on medication management within primary care. These insights may help inform future research and interventions aimed at enhancing adherence and overall well-being. Patient satisfaction did not significantly impact adherence or depression. Targeted interventions focusing on financial support, mental health care, and patient education are needed to improve adherence and patient well-being. These findings underscore the need for integrated mental health and adherence support strategies within routine primary care services. Full article

Genomic score testing is increasingly being integrated into the management of prostate cancer (PCa) to overcome the limitations of traditional clinical and pathological parameters. Genomic tools will represent essential components of precision medicine, supporting risk stratification, therapeutic decision-making, and personalized screening strategies. Genomic score tests can be broadly classified into two main categories: polygenic risk scores (PRSs) and tumor-derived genomic classifiers (GCs). While not yet standard in routine practice, several international guidelines recommend their selective use when results are likely to impact clinical management. PRSs estimate an individual’s susceptibility to PCa based on the cumulative effect of multiple low-penetrance germline genetic variants. These scores show promise in enhancing early detection strategies and identifying men at higher genetic risk who may benefit from tailored screening protocols. Tumor-based GCs assays provide prognostic information that complements conventional clinical and pathological parameters, and are used to guide treatment decisions, including eligibility for active surveillance (AS) or adjuvant therapy after treatment of the primary tumor. This review summarizes and analyzes the current evidence on genomic testing in PCa, with a focus on the available assays, their clinical applications, and their predictive and prognostic value across the disease spectrum. When integrated with clinical and pathological parameters, these tools have the potential to significantly enhance personalized care and should be increasingly considered in routine clinical practice. Full article

According to the guidelines of the American Society of Clinical Oncology (ASCO) and the European Society of Medical Oncology (ESMO), the most significant genetic factor in the diagnosis and treatment of breast cancer is the mutation status of the BRCA1 and BRCA2 genes. Additional genes with a significant influence on cancer risk were selected for genetic panel screening. For these genes, the disease risk score was predicted to be greater than 20%. In clinical practice, it is observed that rare genetic variants have a significant impact in young patients, characterized by increased pathogenesis and a poorer overall prognosis. The ability to predict the potential effects of these rare variants may reveal important information regarding possible phenotypes and may also provide new insights leading to more efficacious treatments and overall improved clinical management. This paper presents the case of a 38-year-old woman with bilateral breast cancer who is likely a carrier of a pathogenic point mutation in the LZTR1 gene (LZTR1: c.1260+1del variant). With this clinical case report herein described, we intend to display the usefulness of performing detailed molecular tests in the field of genetic diagnostics for patients with breast cancer. Understanding the pathogenesis of hereditary cancer development, which is more predictable and reliable than that of sporadic tumors, will allow for the discovery of hitherto hidden intrinsic signaling pathways, facilitating replicable experimentation and thereby expediting the discovery of novel therapeutic treatments. Full article

Background: Despite remarkable progress in clinical management of patients and intensified screening, colorectal cancer remains the second most common cause of cancer-related death in the United States. The recent surge of next generation sequencing has enabled genomic analysis of colorectal cancer genomes. However, to date, there is little information about leveraging gene expression data and integrating it with somatic mutation information to discover potential biomarkers and therapeutic targets. Here, we integrated gene expression data with somatic mutation information to discover potential diagnostic and prognostic biomarkers and molecular drivers of colorectal cancer. Methods: We used publicly available gene expression and somatic mutation data generated on the same patient populations from The Cancer Genome Atlas. We compared gene expression data between tumors and controls and between dead and alive. Significantly differentially expressed genes were evaluated for the presence of somatic mutations and subjected to functional enrichment analysis to discover molecular networks and signaling pathways enriched for somatic mutations. Results: The investigation revealed a signature of somatic mutated genes transcriptionally associated with colorectal cancer and a signature of significantly differentially expressed somatic mutated genes distinguishing dead from alive. Enrichment analysis revealed molecular networks and signaling pathways enriched for somatic mutations. Conclusions: Integrative bioinformatics analysis combining gene expression with somatic mutation data is a powerful approach for the discovery of potential diagnostic and prognostic biomarkers and potential drivers of colorectal cancer. Full article

Urban soils are subject to intense anthropogenic disturbance, often resulting in biodiversity loss and reduced ecosystem functionality. However, rhizospheric microbial communities help maintain critical soil-ecosystem services, supporting urban soil resilience. This study evaluated the diversity of culturable bacteria associated with the rhizospheres of Pennisetum clandestinum and Pseudelephantopus spicatus in green areas of Medellín, Colombia, under contrasting levels of anthropic pressures. Rhizospheric and non-rhizospheric soils were sampled near automotive mechanic sites, and bacterial communities were assessed through plate counting and morphological characterization. Alpha, beta, and rarefaction diversity indices were applied to evaluate culturable morphotypes. P. clandestinum supported a more diverse and complex rhizospheric microbiome, particularly in non-exposed soils, while P. spicatus hosted less diverse communities under similar conditions. Diversity indices effectively distinguished microbial patterns, demonstrating the utility of culture-based methods for microbial community assessment. As a first step in microbial bioprospecting workflows, these methods allow for the rapid screening of culturable diversity and support decision-making for the selection of promising environments, plant species, and microbial isolates. This approach can inform urban soil threats, the promotion of beneficial plant–microbe interactions, and the identification of bioindicator species for soil health monitoring in a framework for the management of green areas. Full article

Background and Objectives: Gestational diabetes mellitus (GDM) is a complex condition characterized by metabolic disorders of blood glucose that significantly impact the health of both mother and fetus. The objectives of this study were to assess the prevalence and risk factors for maternal and fetal–neonatal complications in women with GDM, comparing them to a control group (pregnant women without GDM) and pregnant women with type 1 diabetes mellitus (T1DM) or type 2 diabetes (T2DM). Materials and Methods: A retrospective observational study was conducted with 1418 pregnant women (279 with GDM, 74 with T1DM, 107 with T2DM, and 958 in the control group). The retrospective data included information on demographics, diagnostic test results, the medical history of pregnant women, treatments administered, identified complications, and other relevant variables for the study’s purpose. Results: Significant differences were found regarding maternal and neo-fetal complications between GDM and the control group in terms of abortion, pregnancy-induced hypertension, and increased fetal weight (macrosomia). Women with T1DM and T2DM showed a higher rate of abortion, premature birth, and an APGAR score of <7 at 5 min compared to those with GDM, and for T1DM, there was a higher rate of fetal mortality than in GDM cases. The primary risk factors for maternal complications included age OR = 1.03 (95% CI: 1.01–1.05, p = 0.002), obesity OR = 2.37 (95% CI: 1.42–3.94, p < 0.001), and chronic hypertension OR = 2.51 (95% CI: 1.26–5.01, p = 0.009). Age and obesity were also significant cofactors for maternal complications. Furthermore, the main significant risk factors for fetal–neonatal complications were obesity OR = 2.481 (95% CI:1.49–4.12, p < 0.001) and chronic hypertension OR = 2.813 (95% CI:1.44–5.49, p = 0.002), both independently and as cofactors. Conclusions: We found that obesity and chronic hypertension are risk factors for both maternal and fetal–neonatal complications. It is essential to prevent and adequately treat these two factors among pregnant women to avoid the onset of GDM. Additionally, screening for GDM is necessary to prevent maternal and fetal complications. Our results highlight the importance of specialized medical care and tailored management protocols in mitigating risks and ensuring positive outcomes for both mother and child during and after childbirth. Full article