Search Results (174)

The construction sector emphasises circular economy principles that prioritise eco-design strategies, particularly the usage of secondary raw materials. The growing interest in using industrial hemp as a sustainable building material in the construction sector is driven by its versatility. Industrial hemp has been preferential in comparison to other traditional building materials due to its lower global warming impact. Claims regarding the environmental benefits of hemp-containing construction materials based on the single impact category could be misleading; therefore, life cycle assessment (LCA) studies including multiple environmental indicators should be implemented. This study aims to compare two alternative wall designs regarding their environmental impacts. The comparative LCA study for hempcrete and prefabricated walls used in residential buildings was assessed using IPCC and ReCiPe life cycle impact assessment methods. The study highlighted a significant discrepancy depending on the number of environmental indicators considered, as well as between characterised and weighted LCA results. A hempcrete wall was recognised as a slightly (13.63%) better alternative when assessed by the single-issue IPCC method, while its total burden assessed by the ReCiPe method was recognised to be significantly (2.78 times) higher. Based on the results from this case study, regulators could re-evaluate the appropriateness of reporting LCA results solely on the midpoint level, particularly when limited to a single impact indicator, while producers in the construction sector should recognise the threat of greenwashing when reporting using a single impact indicator only. Full article

Background and objectives: Life expectancies have increased globally, including in Romania, leading to an aging population and thus increasing the burden of chronic diseases. Over 80% of individuals over 65 have more than three chronic conditions, with many exceeding ten and often requiring multiple medications and supplements. This widespread polypharmacy raises concerns about drug interactions, side effects, and inappropriate prescribing. This review examines the impact of polypharmacy in older adult patients, focusing on the physiological changes affecting drug metabolism and the potential risks associated with excessive medication use. Special attention is given to proton pump inhibitors (PPIs), a commonly prescribed drug class with significant benefits but also risks when misused. The aging process alters drug absorption and metabolism, necessitating careful prescription evaluation. Methods: We conducted literature research on polypharmacy and PPIs usage in the older adult population and the risk associated with this practice, synthesizing 217 articles within this narrative review. Results: The overuse of medications, including PPIs, may lead to adverse effects and increased health risks. Clinical tools such as the Beers criteria, the STOPP/START Criteria, and the FORTA list offer structured guidance for optimizing pharmacological treatments while minimizing harm. Despite PPIs’ well-documented safety and efficacy, inappropriate long-term use has raised concerns in the medical community. Efforts are being made internationally to regulate their consumption and reduce the associated risks. Conclusions: Physicians across all specialties must assess the risk–benefit balance when prescribing medications to older adult patients. A personalized treatment approach, supported by evidence-based prescribing tools, is essential to ensure safe and effective pharmacotherapy. Addressing inappropriate PPI use is a priority to prevent potential health complications. Full article

Fibrotic disorders pose a significant global health burden due to limited treatment options, creating an urgent need for novel therapeutic strategies. Amphiregulin (AREG), a low-affinity ligand for the epidermal growth factor receptor (EGFR), has emerged as a key mediator of fibrogenesis through dual signaling pathways. Unlike high-affinity EGFR ligands, AREG induces sustained signaling that activates downstream effectors and promotes the integrin-mediated activation of transforming growth factor (TGF)-β. This enables both canonical and non-canonical EGFR signaling pathways that contribute to fibrosis. Elevated AREG expression correlates with disease severity across multiple organs, including the lungs, kidneys, liver, and heart. The therapeutic targeting of AREG has shown promising antifibrotic and anticancer effects, suggesting a dual-benefit strategy. The increasing recognition of the shared mechanisms between fibrosis and cancer further supports the development of unified treatment approaches. The inhibition of AREG has been shown to sensitize fibrotic tumor microenvironments to chemotherapy, enhancing combination therapy efficacy. Targeted therapies, such as Self-Assembled-Micelle inhibitory RNA (SAMiRNA)-AREG, have demonstrated enhanced specificity and favorable safety profiles in preclinical studies and early clinical trials. Personalized treatment based on AREG expression may improve clinical outcomes, establishing AREG as a promising precision medicine target for both fibrotic and malignant diseases. This review aims to provide a comprehensive understanding of AREG biology and evaluate its therapeutic potential in fibrosis and cancer. 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

Background/Objectives: Men choosing active surveillance (AS) for low- and intermediate risk prostate cancer (PCa) must weigh its harms and benefits against those of active treatment (AT). To understand factors influencing treatment decision-making (TDM) for and adherence to AS, we performed a systematic review. Methods: This systematic review followed the PRISMA guidelines and was registered with PROSPERO (ID CRD42024490427). A comprehensive search strategy from 1990 to 2024 was executed across multiple databases, including Medline and Embase. Studies were included if they examined factors influencing TDM for AS or active monitoring (AM) and adherence to AS/AM. Results: Of the 8316 articles identified, 223 articles were eligible for inclusion. The decision for AS was influenced by different factors, including comprehensive information about treatment options, social support, and wanting to avoid side-effects. Key reasons to choose AT over AS included a lack of information from healthcare professionals about AS and fear of disease progression. Reasons for adhering to the AS protocol included better quality of life and social support. While non-adherence to the AS protocol is prompted by, e.g., biopsy burden and uncertainty, AS discontinuation is generally a results of medical reasons (namely disease upgrading) or from anxiety and family pressure. Conclusions: Numerous factors influence men’s treatment pathway choices. Involving family members in shared decision-making and ensuring that patients have detailed information about AS as a treatment option could help to improve AS uptake. Addressing psychosocial challenges through education and family involvement could improve AS adherence. These insights can help healthcare providers by addressing men’s needs during TDM and AS. Full article

Background: Punicalagin (Pg), a major ellagitannin derived from pomegranates, possesses antimicrobial, antioxidant, and immunomodulatory properties, suggesting its potential as an adjunctive therapy for sepsis. Objectives: This study investigated the synergistic effects of punicalagin and meropenem in a murine model of sublethal sepsis induced by cecal ligation and puncture (CLP). Methods: Mice were treated with punicalagin and meropenem, and multiple parameters were analyzed, including hematological indices, bacterial burden, lymphoid organ cellularity, cytokine profiles (IL-2, IL-4, IL-6, IL-10, IL-17, IFN-γ, TNF-α), nitric oxide (NO) production, and organ histopathology. Results: Punicalagin enhanced NO-mediated antimicrobial responses, increased neutrophil migration, preserved lymphoid cellularity, and significantly reduced the bacterial translocation. Combined therapy with meropenem improved systemic IL-10 levels and mitigated histopathological damage in the liver, kidney, intestine, and lung. Importantly, punicalagin did not induce thrombocytopenia. Conclusions: These results support the potential of punicalagin as an adjunctive agent to antibiotics for sepsis treatment, offering both antimicrobial and immunoregulatory benefits. Further studies are required to explore its clinical applicability. Full article

Background/Objectives: The COVID-19 pandemic affected frontline workers’ mental health, including healthcare workers, firefighters, and police officers, increasing the need for effective interventions. This study focuses on the pandemic’s psychological impact, perceived stress, depression/anxiety symptoms, and resilience, examining if a brief virtual reality (VR)–based relaxation session could reduce psychological symptoms. Methods: In this preliminary study with data collected in 2025 from frontline workers who had served during the acute phase of the COVID-19 pandemic, 54 frontline workers completed a baseline assessment of the perceived psychological impact of COVID-19 pandemic, general perceived well-being, perceived stress (PSS-4), anxiety/depression (PHQ-4) and resilience (RS-25). Each participant then engaged in a 10-min immersive VR relaxation session featuring a calming 360° nature environment with audio guidance, after which questionnaires were re-administered. Paired samples t-tests and repeated-measures ANOVA evaluated pre-/post-session differences, and a hierarchical multiple linear regression model tested predictors of the change in stress. Results: Pre-session results showed moderate perceived stress and resilience and low depression/anxiety. Occupation groups varied in baseline stress, mostly reporting negative pandemic psychological effects. After VR, significantly perceived well-being increased, and stress decreased, whereas depression/anxiety changes were nonsignificant. Repeated-measures ANOVA revealed a main effect of time on stress (p = 0.003) without occupation-by-time interaction (p = 0.246), indicating all occupational groups benefited similarly from the VR session. Hierarchical regression indicated baseline depression and higher perceived pandemic-related harm independently predicted greater stress reduction, whereas resilience and baseline anxiety showed no statistically significant results. Conclusions: A single VR relaxation session lowered perceived stress among frontline workers, particularly those reporting higher baseline depression or pandemic-related burden. Limitations include the absence of a control group. Results support VR-based interventions as feasible, rapidly deployable tools for high-stress settings. Future research should assess longer-term outcomes, compare VR to alternative interventions, and consider multi-session protocols. Full article

Background/Objectives: Poor diet is a leading modifiable cause of chronic disease in the US. In addition to targeting nutrients of concern (saturated fat, added sugars, and sodium), nutrients with both inadequate intakes and associations with major health outcomes require identification. We aimed to identify priority nutrients to address both malnutrition and diet-related disease in the US population. Methods: An established method for identifying priority nutrients across multiple demographic groups was adapted for the US population. This method evaluates and scores nutrients consumed at insufficient or excessive levels, with proposed revised requirements, and shows associations with established health priorities, based on the degree of deviation from recommendations and the number of linked health priorities. Priority nutrients were defined as those scoring in the top 25%. For each priority nutrient, a comparison of intake levels against the Dietary Reference Intake (DRI) was conducted. Results: There were 21 of 24 nutrients with consumption below recommended levels in at least one demographic group. Certain nutrients, such as dietary fiber, vitamin D, and choline, exhibited particularly high inadequacy rates, exceeding 90% throughout different life stages. The highest priority nutrients included vitamin D, vitamin E, calcium, magnesium, and dietary fiber, with vitamin D, omega-3 fatty acids, zinc, folate, and potassium showing priority for specific demographic groups. Comparing current intake levels with those known to benefit health priorities indicated that higher intakes of vitamin D, vitamin E, and calcium could be beneficial. Conclusions: Ten essential nutrients play a role in the prevention of diet-related disease, yet are consumed inadequately across the US population, suggesting that the prioritization of these nutrients can help to address the burden of chronic disease. Priority nutrients should be considered in diet and nutrition policies and guidelines. Full article

Chronic pain is a significant burden affecting more than 30% of people worldwide. Within the multiple biopsychosocial factors affected in people suffering from chronic pain, neurocognitive impairments represent a significant but often under-recognized aspect of the chronic pain experience that impacts daily life and healthcare. Multiple neurocognitive domains, including attention, executive function, learning, and memory, have been commonly associated with chronic pain. Within novel approaches, extended reality (XR) has been highlighted for its potential in chronic pain management. XR offers unique features to enhance traditional neurocognitive interventions, including dual tasks, gamification, ecological validity, and enriched experience, to increase engagement and motivation in rehabilitation. This systematic–narrative hybrid literature review aims to shed light on the potential benefits, challenges, and future directions of XR technology to address neurocognitive impairments associated with chronic pain. While preliminary evidence suggests that XR-based neurocognitive training may be beneficial in overcoming neurocognitive impairments found in chronic pain, some challenges still need to be addressed for effective translation into clinical practice. Within a transdiagnostic approach, XR-based neurocognitive training appears to be valuable across different diagnoses in chronic pain, wherein XR may emerge as a promising first-line intervention toward personalized multimodal management for chronic pain. Despite the rapid development of substantial growing evidence for XR, enhanced methodological rigor and reporting quality are recommended in future studies. More research is needed to fully understand the mechanisms and optimal application of XR-based neurocognitive training in different chronic pain conditions. Full article

Despite advancements in multidisciplinary treatment, esophagectomy remains the primary curative treatment for esophageal cancer. Given that lymph node metastases can spread from the cervical to abdominal regions, three-field lymph node dissection has been established as a standard approach. However, this highly invasive procedure involves multiple anatomical regions—thoracic, abdominal, and cervical—leading to significant surgical burden. To reduce surgical invasiveness, minimally invasive esophagectomy (MIE) has become increasingly common worldwide. With its adoption and advancements in multidisciplinary therapy, discussions have emerged regarding the potential omission of lymph node dissection in selected cases. Since the introduction of robot-assisted minimally invasive esophagectomy (RAMIE) in 2004, this technique has progressively replaced conventional MIE. Robotic systems—equipped with a magnified 3D camera, articulated instruments, and tremor filtering—allow surgeons to perform complex procedures with greater precision than manual techniques. One randomized controlled trial (RCT) has demonstrated fewer postoperative complications with RAMIE compared to open esophagectomy. Additionally, RAMIE has been shown to enable more extensive lymph node dissection around the left recurrent laryngeal nerve than conventional MIE. However, the long-term oncological benefits of RAMIE remain unproven, as no RCTs have definitely confirmed its impact on long-term survival in esophageal cancer patients. Ongoing randomized trials are expected to provide further insights into its prognostic benefits. Full article

Ineffective treatment and side effects are associated with high burdens for the patient and society. We investigated the application of graph representation learning (GRL) for predicting medication usage based on individual genetic data in the United Kingdom Biobank (UKBB). A graph convolutional network (GCN) was used to integrate interconnected biomedical entities in the form of a knowledge graph as part of a machine learning (ML) prediction model. Data from The Pharmacogenomics Knowledgebase (PharmGKB) was used to construct a biomedical knowledge graph. Individual genetic data (n = 485,754) from the UKBB was obtained and preprocessed to match with pharmacogenetic variants in the PharmGKB. Self-reported medication usage labels were obtained from UKBB data field 20003. We hypothesize that pharmacogenetic variants can predict the impact of medications on individuals. We assume that an individual using a medication on a regular basis experiences a net benefit (vs. side-effects) from the medication. ML models were trained to predict medication usage for 264 medications. The GCN model significantly outperformed both a baseline logistic regression model (p-value: 1.53 × 10⁻⁹) and a deep neural network model (p-value: 8.68 × 10⁻⁸). The GCN model also significantly outperformed a GCN model trained using a random graph (GCN-random) (p-value: 5.44 × 10⁻⁹). A consistent trend of medications with higher sample sizes having better performance was observed, and for several medications, a high relative rank of the medication (among multiple medications) was associated with greater than 2-fold higher odds of usage of the medication. In conclusion, a graph-based ML approach could be useful in advancing precision medicine by prioritizing medications that a patient may need based on their genetic data. However, further research is needed to improve the quality and quantity of genetic data and to validate our approach using more reliable medication labels. Full article

Background/Objectives: Surgical pathology of tubo-ovarian and peritoneal cancer carries a well-recognised diagnostic workload, partly due to the large amount of non-primary tumour-related tissue requiring assessment for the presence of metastatic disease. The lymph nodes and omentum are almost universally included in such resection cases and contribute considerably to this burden, principally due to volume rather than task complexity. To date, artificial intelligence (AI)-based studies have reported good success rates in identifying nodal spread in other malignancies, but the development of such time-saving assistive digital solutions has been neglected in ovarian cancer. This study aimed to detect the presence or absence of metastatic ovarian carcinoma in the lymph nodes and omentum. Methods: We used attention-based multiple-instance learning (ABMIL) with a vision-transformer foundation model to classify whole-slide images (WSIs) as either containing ovarian carcinoma metastases or not. Training and validation were conducted with a total of 855 WSIs of surgical resection specimens collected from 404 patients at Leeds Teaching Hospitals NHS Trust. Results: Ensembled classification from hold-out testing reached an AUROC of 0.998 (0.985–1.0) and a balanced accuracy of 100% (100.0–100.0%) in the lymph node set, and an AUROC of 0.963 (0.911–0.999) and a balanced accuracy of 98.0% (94.8–100.0%) in the omentum set. Conclusions: This model shows great potential in the identification of ovarian carcinoma nodal and omental metastases, and could provide clinical utility through its ability to pre-screen WSIs prior to histopathologist review. In turn, this could offer significant time-saving benefits and streamline clinical diagnostic workflows, helping to address the chronic staffing shortages in histopathology. Full article

Background: Flow cytometric detection of minimal residual disease (MRD) in chronic lymphocytic leukemia (CLL) is complex, time-consuming, and subject to inter-operator variability. Deep neural networks (DNNs) offer potential for standardization and efficiency improvement, but require rigorous validation and monitoring for safe clinical implementation. Methods: We evaluated a DNN-assisted human-in-the-loop approach for CLL MRD detection. Initial validation included method comparison against manual analysis (n = 240), precision studies, and analytical sensitivity verification. Post-implementation monitoring comprised four components: daily electronic quality control, input data drift detection, error analysis, and attribute acceptance sampling. Laboratory efficiency was assessed through a timing study of 161 cases analyzed by five technologists. Results: Method comparison demonstrated 97.5% concordance with manual analysis for qualitative classification (sensitivity 100%, specificity 95%) and excellent correlation for quantitative assessment (r = 0.99, Deming slope = 0.99). Precision studies confirmed high repeatability and within-laboratory precision across multiple operators. Analytical sensitivity was verified at 0.002% MRD. Post-implementation monitoring identified 2.97% of cases (26/874) with input data drift, primarily high-burden CLL and non-CLL neoplasms. Error analysis showed the DNN alone achieved 97% sensitivity compared to human-in-the-loop-reviewed results, with 13 missed cases (1.5%) showing atypical immunophenotypes. Attribute acceptance sampling confirmed 98.8% of reported negative cases were true negatives. The DNN-assisted workflow reduced average analysis time by 60.3% compared to manual analysis (4.2 ± 2.3 vs. 10.5 ± 5.8 min). Conclusions: The implementation of a DNN-assisted approach for CLL MRD detection in a clinical laboratory provides diagnostic performance equivalent to expert manual analysis while substantially reducing analysis time. Comprehensive performance monitoring ensures ongoing safety and effectiveness in routine clinical practice. This approach provides a model for responsible AI integration in clinical laboratories, balancing automation benefits with expert oversight. Full article

Patients with active cancer and cancer survivors are at a markedly increased risk for developing cardiovascular comorbidities, including heart failure, coronary artery disease, and renal dysfunction, which are often compounded by the cardiotoxic effects of cancer therapies. This heightened cardiovascular vulnerability underscores the urgent need for effective, safe, and evidence-based cardioprotective strategies to reduce both cardiovascular morbidity and mortality. Sodium-glucose cotransporter 2 inhibitors (SGLT2is), a class of drugs originally developed for the treatment of type 2 diabetes, have demonstrated significant cardiovascular and renal benefits in high-risk populations, independent of glycemic control. Among the currently available SGLT2i, such as empagliflozin, canagliflozin, dapagliflozin, and sotagliflozin, there is growing evidence supporting their role in reducing major adverse cardiovascular events (MACEs), hospitalization for heart failure, and the progression of chronic kidney disease. Recent preclinical and clinical data suggest that SGLT2is exert cardioprotective effects through multiple mechanisms, including the modulation of inflammasome activity, specifically by reducing NLRP3 inflammasome activation and MyD88-dependent signaling, which are critical drivers of cardiac inflammation and fibrosis. Moreover, SGLT2is have been shown to enhance mitochondrial viability in cardiac cells, promoting improved cellular energy metabolism and function, thus mitigating cardiotoxicity. This narrative review critically evaluates the emerging evidence on the cardiorenal protective mechanisms of SGLT2is, with a particular focus on their potential role in cardio-oncology. We explore the common pathophysiological pathways between cardiovascular dysfunction and cancer, the molecular rationale for the use of SGLT2is in cancer patients, and the potential benefits in both primary and secondary prevention of cardiovascular toxicity related to oncological treatments. The aim is to propose a therapeutic paradigm utilizing SGLT2is to reduce cardiovascular mortality, MACE, and the burden of cardiotoxicity in high-risk oncology patients, fostering an integrated approach to cardio-oncology care. Full article

Helicobacter pylori (H. pylori) is a gram-negative, spiral-shaped bacterium that colonizes the human gastric mucosa, leading to various gastric diseases. H. pylori infection has become a pressing public health issue that affects more than 50% of the human population worldwide, almost 40 years after its discovery. Traditional treatments, based on the use of bismuth-based triple and quadruple therapies, are effective while facing a series of problems, such as difficulty in patient compliance, the rise of antibiotic resistance, and possible recurrence of infection. Therefore, the development of an efficacious vaccine against H. pylori would be extremely urgent. This review mainly elaborates on the pathogenic mechanism and immune evasion mechanism of H. pylori, as well as various strategies adopted in vaccine development, including whole-cell vaccines, subunit vaccines, DNA vaccines, and live vector vaccines. Animal studies and clinical trials demonstrate that H. pylori vaccines significantly reduce bacterial load and provide cellular immunity over some time. Multiple studies have clarified the advantages and limitations of each candidate vaccine. Although the development of H. pylori vaccines provides benefits to reduce the global burden, there are still significant challenges to developing vaccines in safety, efficacy, and availability. Overcoming these challenges, along with the advancement of vaccine technology, can better prevent and treat H. pylori infection. Full article