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Dietary patterns are increasingly recognized as crucial factors influencing the progression of MASLD. This study aimed to explore the association between dietary patterns and MASLD risk among adults, using Latent Class Analysis (LCA), to our knowledge, for the first time in this context. This cross-sectional study included 8,549 adults general population. Dietary intake data were collected using a validated Food Frequency Questionnaire (FFQ) and analyzed with Nutritionist IV software. A 3-step LCA was applied to determine distinct dietary patterns among participants using micro- and macronutrients. Liver fibrosis severity was evaluated using a validated non-invasive marker, FIB-4 Score. Our analysis identified three distinct dietary patterns, each significantly associated with the severity of liver fibrosis. Class 1(High-volume, high-fiber/mineral-rich pattern) was associated with the lowest risk of liver fibrosis. Compared to Class 1, participants in Class 2 (Moderate-volume, low-fiber/high-sodium/mineral-poor pattern) (OR = 1.24; p = 0.002) and Class 3 (Restricted-volume, nutrient-depleted pattern) (OR = 1.13; p = 0.027) had significantly higher odds of moderate-to-high liver fibrosis risk. Class-specific regression analysis showed that age and smoking were the most consistent predictors of fibrosis risk across all patterns. Dietary patterns rich in antioxidants, fiber, and essential micronutrients appear effective in reducing the risk of liver fibrosis. Further longitudinal studies are required to confirm these findings and determine practical clinical applications.
Patients undergoing craniotomy experience a higher risk of seizures in the ensuing months. Consensus is lacking regarding the appropriate timeframe for safe return to driving following craniotomy in patients not otherwise limited by neurological deficits or a history of epilepsy.
Methods:
The Canadian Neurosurgery Research Collaborative (CNRC) distributed an anonymous, voluntary, electronic cross-sectional survey via SurveyMonkey to Canadian neurosurgeons. The survey comprised 16 questions designed to assess practice variations regarding recommendations for return to driving following craniotomy, stratified according to pathological diagnosis.
Results:
Forty-eight Canadian neurosurgeons responded to the survey. Driving recommendations varied greatly, with most surgeons recommending return to driving within one month of the craniotomy. The rationale behind these restrictions varied widely, consistent with the lack of evidence-based data to guide decision-making.
Conclusion:
This study emphasizes the lack of standardized practices regarding return to driving recommendations for patients undergoing craniotomy without prior seizures. Development of national return to driving guidelines would assist Canadian clinicians in making informed decisions regarding the optimal timeframe for the safe return to driving.
The contribution of active involvement in full-scale disaster exercises to learning processes is widely recognized. Accordingly, this study seeks to explore the learning gains of individuals who participated as live actors and observers in a full-scale avalanche exercise conducted with international collaboration.
Methods
This study used a mixed-methods approach integrating qualitative and quantitative research methods. Descriptive statistical techniques were employed to analyze quantitative data, while thematic analysis was utilized to interpret the qualitative data.
Results
Participants reported high levels of satisfaction in the domains of field knowledge (76.5%), Critical Decision-Making (74.6%), motivation (60.8%), and self-confidence (49.1%).
On the other hand, they raised concerns regarding the inadequacy of instructions (58.8%), the lack of up-to-date practices (47%), the realism of the scenario (54.9%), safety measures (56.8%), and communication (72.5%).
Conclusions
The findings suggest that participants demonstrated development in both cognitive and affective domains, regardless of the specific roles they assumed during the exercise. In the cognitive dimension, improvements were observed in high-angle rescue, avalanche search methodologies, understanding of team roles, intervention procedures, prioritization criteria, and safety assessment. In the affective dimension, advancements were noted in recognizing ethical issues, exploration of authority boundaries, willingness to intervene, and self-confidence.
Dysregulation of fatty acids metabolism has been associated with the risk of osteoarthritis (OA), yet current evidence from epidemiological or genetic studies remains inconclusive. We aimed to investigate the phenotypic association and genetic architecture between total fatty acids (TotFA), saturated fatty acids (SFA), monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), and OA. Leveraging individual-level data from the UK Biobank, combined with the hitherto largest genome-wide association studies of fatty acids (N = 136 016) and OA (N = 826 690) in European individuals, we implemented a comprehensive analytical framework. This included observational and genetic analyses, incorporating phenotypic associations, genetic correlations, cross-trait meta-analysis, enrichment analysis and Mendelian randomization (MR). Observational analysis identified SFA as a risk factor, while MUFA and PUFA as protective factors for OA. Despite a lack of genome-wide genetic correlation, statistically significant local signals were detected within three specific genomic regions. Cross-trait meta-analysis identified 68 pleiotropic loci shared between fatty acids and OA, of which nine were novel. Enrichment analysis revealed the shared genes were enriched in lipoprotein metabolism, immune response, and inflammation regulation pathways. Two-sample MR provided evidence for a causal relationship of MUFA and PUFA on OA that survived false discovery rate correction. This study supports associations between circulating fatty acids and OA, with MUFA and PUFA exerting a protective role. Our findings provide new perspectives into OA prevention especially regarding the potential dietary interventions.
Dr. C. Norman Coleman initiated the establishment of a working group within the Administration for Strategic Preparedness and Response (ASPR), U.S. Department of Health and Human Services, to explore ways in which federal planning and guidance could better foster effective and efficient nuclear detonation response, with initial attention to cytokine use in the public health and medical response. Dr. Coleman recognized the difference between planning guidance (what to do) and a strategy (how to do it). He developed actionable strategies to improve our nation’s nuclear preparedness, including scarce resources triage protocols,1 cytokine and evacuation priorities,2 and the Exposure And Symptom Triage (EAST) tool.3 Despite his absence and in his spirit, this working group, nicknamed “The Solutions Lab,” is continuing the work on actionable strategies for nuclear preparedness.
Radiotherapy (RT) is a crucial part of the multidisciplinary treatment for various oncology sites. Clinical placement is mandatory on pre-registration RT programmes, where students spend 50% of their learning time. Recent research demonstrates that Culturally and Linguistically Diverse (CALD) students experience unique challenges during clinical placements. Limited research was found to evaluate the experience of CALD students during RT clinical placements. This study aimed to evaluate the placement experiences of RT CALD students enrolled in pre-registration RT programmes at UK universities.
Method:
An online Likert-scale survey was developed and sent to all BSc Radiotherapy Professional/Programme Leads at UK Universities via the Society of Radiographers Heads of Radiography Education Group. The programme leads were asked to disseminate the email to all undergraduate students in the programme; it was clearly stated that only international students should respond. Quantitative data were collected and analysed using descriptive statistics.
Results:
17 CALD students completed the survey. The most common challenges identified were language barriers, cultural differences, isolation and unfamiliarity with the NHS. Some students reported that they had felt discriminated against on placement and typically received support from other CALD students or clinical tutors.
Conclusion:
Several challenges were observed in this study regarding CALD students enrolled in UK RT programmes. The results indicated the need to develop the cultural competence of clinical staff and educators. However, the small, all-female sample (n = 17) limits generalisability; further qualitative research is needed to gain a comprehensive understanding of how CALD students are supported during RT clinical placements.
Various strategies across food systems are needed for a systemic change, with dietary shifts representing a meaningful pathway—particularly in high-income nations. Plant-based analogues (PBAs) that mimic animal-based foods, represent a promising strategy to facilitate such shifts because they require minimal behaviour adjustments. This review aims to synthesise nutritional, health and environmental evidence on PBAs by examining their benefits, challenges, and research gaps to inform and support evidence-based policy and practice. PBAs generally have lower greenhouse gas emissions, land use and water use than their animal-based counterparts. Nutritionally, PBAs are complex, varying across product brands, product types, processing techniques and primary ingredients. The limited health evidence shows that consumption of plant-based meat analogues tends to be associated with positive health outcomes, while consumption of some plant-based drinks can be linked to micronutrient deficiencies. Fortified PBAs can contribute to daily recommended intakes and sometimes provide more micronutrients than their animal-based counterparts, while also providing more fibre, and less energy and saturated fat. Despite these potential benefits, debates persist around processing classifications and their health implications. Given this complex landscape, assessing what kind of role PBAs could play in our food systems will demand product-specific evaluation, targeted dietary recommendations, and expanding the range of healthier PBAs. To advance the field and accelerate dietary shifts without unintended consequences, critical considerations include strengthening the nutritional evidence-base, classifying PBAs further for dietary recommendations and informed regulatory approaches, understanding processing effects and use of additives, and standardising environmental outcomes and research beyond single ingredients.
Low heart rate variability (HRV) levels may be a susceptibility factor for major depressive disorder (MDD). Sleep-state HRV may be more likely to reveal the pathological features of MDD compared with resting state HRV (RS-HRV). This study aimed to elucidate HRV alterations in the sleep states of patients with MDD.
Methods:
Physiological signal data from the resting state before sleep, first non-rapid eye movement (NREM) and rapid eye movement (REM) stages, and last NREM and REM stages were acquired using polysomnography.
Results:
The RS-HRV indices (the standard deviation [SD] of all normal-to-normal [NN] intervals [SDNN], the square root of the mean of the sum of the squares of the differences between adjacent NN intervals [RMSSD], the percentage difference between adjacent NN intervals >50 ms [pNN50], high-frequency [HF], low-frequency [LF], very low frequency [VLF], SD1, and sample entropy [SampEn]) were lower in patients with MDD than in healthy controls (HCs). Patients with MDD had lower SDNN, RMSSD, pNN50, HF, LF, VLF, SD1, SD2, and SampEn and higher SD2/SD1, α1, and α2 than HCs in the NREM stage. They also had lower SDNN, RMSSD, pNN50, HF, LF, VLF, SD1, SD2, and SampEn and higher LF/HF than HCs in the REM stage. Fewer indices changed significantly during different sleep stages in patients with MDD than in HCs.
Conclusions:
Patients with MDD had a generalized reduction in HRV in both RS and sleep state and decreased dynamic changes during sleep. Altered autonomic nervous system activity has been implicated in MDD pathology.
Network modeling of post-concussion symptoms following mild traumatic brain injury (mTBI) has emerged as a promising tool for understanding how cognitive, emotional, and somatic symptoms co-occur and interact. However, the generalizability of networks developed in individual studies remains unclear. This study aimed to develop the first-ever meta-analytic pooled between-persons network structure of post-concussion symptoms and systematically examine the between-study heterogeneity of these symptom networks.
Methods:
Using the Meta-Analytic Gaussian Network Aggregation (MAGNA) framework, a single pooled network model was developed by aggregating data from 6 distinct samples, comprising a total of 5,776 participants. Additionally, this study quantitatively assessed the degree of heterogeneity across these studies.
Results:
Strong symptom clusters between cognitive, emotional, and somatic symptoms were identified. Concentration difficulty and slowed thinking were the most central symptoms in the pooled MAGNA network. Large between-study heterogeneity was observed.
Conclusions:
Findings from this meta-analysis highlight cognitive symptoms as most important for defining the network structure after mTBI at a group level, potentially perpetuating and/or being perpetuated by symptoms in other domains. The large heterogeneity observed between studies underscores the need for an idiographic (person-specific) approach to studying post-concussion symptom networks to inform precision rehabilitation.
This field report describes the operational characteristics and system-level challenges observed during a real-world mass-casualty incident in Taiwan. A multisource reconstruction was conducted using post-incident debriefing records, on-scene observations, emergency medical services operational logs, and publicly available media reports, focusing exclusively on response processes without accessing patient-identifiable information. Sixteen casualties were initially identified following a vehicle—pedestrian collision near an elementary school, including 4 cases of out-of-hospital cardiac arrest. A total of 13 patients were ultimately transported to receiving hospitals. Although Simple Triage and Rapid Treatment was initiated promptly and all transports were completed within a short operational window, early triage decision-making occurred under conditions of high cognitive load and scene fragmentation. Digital support tools were available but were not activated during the initial response, necessitating reliance on handwritten notes and verbal communication for patient tracking and hospital notification. In addition, auxiliary personnel were present but not formally integrated into the incident command structure. These observations highlight execution-level challenges affecting triage coordination, information flow, and operational integration during real-world mass-casualty responses.
Radiological incidents are rare, but can have significant public health consequences. Coordination across jurisdictions, government agencies, and different fields is critical to ensure an effective response that minimizes health impacts. State and local government agencies face challenges in responding to radiological incidents such as constrained resources, siloed communications, and gaps in workforce training and capacity. The National Alliance for Radiation Readiness (NARR) is a network of experts composed of 20 member organizations and 10 federal partners. The NARR seeks to advance the nation’s capacity for radiation readiness through expert input, workforce training and capacity building, and increase communication and collaboration.