Conectar
by Daniel H. Nguyen, Debottama Das, Ali Bilgin, Dianne Patterson, Matthew Hook, Chris Butson, Alberto Cacciola, Vinod Kumar Jangir, Manojkumar Saranathan
Leveraging diffusion tractography, connectivity-based parcellation (CBP) is one of the oldest methods for thalamic nuclei segmentation. The goal of this work was to reassess CBP using higher spatial resolution diffusion MRI data and reconstruction algorithms, and to compare it with recent state-of-the-art methods for thalamic nuclei segmentation. Furthermore, these methods were systematically evaluated against three histological atlases and one functional MRI–based atlas to examine their relative anatomical similarities and differences. High resolution diffusion and T1-weighted MRI data from 67 healthy individuals in the Human Connectome Project Young Adult database were analyzed. CBP was performed using probabilistic tractography with cortical targets derived from combining labels of the Human Connectome Project Multi-Modal Parcellation 1.0 atlas into 8, 11, and 23 regions. Results were compared against three recent methods: orientation distribution function clustering (ODF), track density imaging (TDI), and structural MRI-based segmentation. Group level analyses were conducted in the Montreal Neurological Institute space, and Dice overlap coefficients were calculated using four atlases (three histological, one functional). CBP results using newer data and methods were still remarkably similar to the original CBP parcellation results. Across atlases, a consistent hierarchy was observed: HIPS-THOMAS performed best, followed by TDI, ODF, and CBP (Kendall’s W = 1.00, p = 0.007). Histological atlases showed strong mutual agreement (Pearson r = 0.71–0.85), whereas the Zhang atlas demonstrated lower concordance (Pearson r = 0.51–0.63). Despite methodological advances, CBP remains constrained in its ability to delineate thalamic nuclei with histological accuracy. By contrast, structural and diffusion microstructural approaches provided better nuclear localization. These findings highlight the need for hybrid workflows that integrate structural and diffusion-based information to enable more reliable thalamic segmentation for neuroscience research.by Julian Kylies, Fabian Haas, Anna Duprée, Tobias B. Huber, Karl-Heinz Frosch, Matthias Priemel, Dominik Kylies
BackgroundLiposarcomas (LS) of the extremities and trunk are aggressive soft-tissue sarcomas and surgical resection combined with multimodal therapy represents the cornerstone of curative treatment. Despite advances in surgical and medical management patients are still at risk of developing medical complications that negatively affect morbidity and mortality. Kidney dysfunction, sarcopenia and progressive loss of visceral adipose tissue have emerged as prognostically relevant and potentially treatable complications in surgical oncology. However, despite their growing relevance, little is known about their frequency and impact on survival and morbidity in the context of LS.
MethodsWe conducted a retrospective study of 47 adult patients with localized LS of the extremities and trunk who underwent curative-intent surgery. Kidney function, CT morphometry of muscle (skeletal muscle index, SMI) and visceral adipose tissue (VAT) as well as clinical assessments including ECOG score were recorded at diagnosis (t1) and after a median follow-up (t2) of 11 months. Kidney dysfunction, defined as a decrease in eGFR of ≥ 25% between time points, was analyzed in relation to survival, sequentially assessed CT-morphometry of muscle and adipose tissue as well as functional status assessed by ECOG scores.
ResultsAll patients underwent curative-intent surgical treatment with or without additional multimodal treatment (surgery only: 51.1%, additional radiation: 31.9%, additional chemotherapy: 38.3%). Kidney dysfunction was frequent in our cohort (53.2% of all patients) and significantly associated reduced overall survival in Kaplan–Meier, uni- and multivariate Cox proportional hazards regression models (multivariate hazard ratio: 6.7; p = 0.03). In addition, patients with kidney dysfunction experienced a significantly accelerated loss of SMI (p Conclusions
To our knowledge, this is among the first studies to investigate kidney dysfunction and its consequences in adult LS patients. In our cohort of surgically treated adult patients with LS of the extremities and trunk, kidney dysfunction was a frequent and clinically impactful complication. It was significantly associated with decreased overall survival, loss of muscle and adipose tissue in sequential CT morphometry assessments and progressive functional decline. Off note, CT-morphometry enabled objective, high-resolution tracking of body composition decline and may serve as a promising additional tool for risk stratification. Nonetheless, given the limited cohort size and retrospective single-center design, the generalizability of our findings is limited and the results should therefore be interpreted with caution. Despite these limitations, our findings call for future prospective studies and an awareness for heightened renal surveillance and integrated body composition assessments in the multimodal management of sarcoma patients.
The study aimed to develop a computational fluid dynamics-based mobile wound irrigation education program and explore changes in irrigation pressure control, wound irrigation-related knowledge and performance confidence in syringe-based wound irrigation. This study used a single-group pre–post design. A computational fluid dynamics-based mobile wound irrigation program was developed following the Analysis, Design, Development, Implementation, and Evaluation model. The program enabled learners to manipulate irrigation variables and visualize pressure distribution in real time. Thirty-four participants were recruited. Irrigation pressure was measured using a load cell-based device, and knowledge and performance confidence were assessed pre- and post-intervention. Data were analysed using paired t-tests and content analysis. The mean irrigation pressure increased significantly, although the post-intervention mean remained below the recommended pressure range and the proportion of participants achieving the recommended range rose from 0% to 44%. Knowledge and performance confidence also improved significantly. Qualitative findings indicated enhanced understanding of performance standards, improved technical awareness and reduced uncertainty during skill execution. Participation in the computational fluid dynamics-based mobile education program was associated with improvements in irrigation pressure control, related knowledge and performance confidence in syringe-based wound irrigation. These findings should be interpreted as preliminary because of the single-group pre–post design. Numerical visualization and real-time feedback may be useful educational strategies for facilitating the transition from experience-based skill performance to data-driven practice.
Trial Registration: Clinical Research Information Service (CRIS), Republic of Korea: KCT0011256.
This study aims to explore the ability to identify high-grade intracranial arterial stenosis (ICAS) by an artificial intelligence (AI) designed to detect large vessel occlusions (LVO) and the clinical relevance of these ‘false positive’ findings.
We are presenting a retrospective cohort study.
The study was conducted at a supraregional stroke centre of an urban tertiary care provider.
Consecutive stroke cases treated between January 2023 and December 2023 of patients >18 years of both sexes and any ethnicity were eligible for inclusion. 934 patients (52.7% male) with a mean age of 71.7±13.6 years (25–101 years) were included.
CT angiographies were analysed by a deep learning algorithm for LVO detection of the anterior circulation. AI results were compared with radiology reports and secondary focused evaluation.
Diagnostic accuracies for ICAS detection by the AI were calculated.
Primary reports identified 30 ICAS and nine additional ICAS were detected during secondary evaluation (incidence 4.2%). The sensitivity of radiology reports was 77% (95% CI 0.61 to 0.89), the specificity 99% (95% CI 0.98 to 1.00), negative predictive value (NPV) 99% (95% CI 0.98 to 0.99) and positive predictive value (PPV) 79% (95% CI 0.65 to 0.88). The AI identified 13 of 39 ICAS correctly. 18 false positive cases (neither LVO nor ICAS) were flagged by the AI. The sensitivity of the algorithm was 33% (95% CI 0.19 to 0.50), the specificity 98% (95% CI 0.97 to 0.99), the NPV 97% (95% CI 0.96 to 0.98) and PPV 42% (95% CI 0.28 to 0.58).
Detection of high-grade ICAS by an algorithm trained to identify LVO is per se a false positive finding but occurred in 13 of 39 cases. Dedicated training for ICAS might lead to a beneficial tool during the diagnostic work-up for ischaemic stroke.
German Register for Clinical Trials (DRKS: DRKS00034019 https://drks.de/search/de/trial/DRKS00034019).
Access to musculoskeletal healthcare services in Sub-Saharan Africa is inadequate. As osteoarthritis is the most prevalent chronic osteoarticular disease globally, it’s essential to understand its social and economic impact, as well as the determinants of inequities in access to healthcare services in Sub-Saharan Africa. The absence of systematised knowledge on this topic makes this review pertinent. However, due to data scarcity, assessing this burden is challenging. The objective of this scoping review is to map and summarise the available literature up to 2025 on the socioeconomic burden and health inequity determinants among the Sub-Saharan African population with osteoarthritis.
A predefined search strategy will be applied to MEDLINE (via PubMed), Embase, African Journals Online and African Index Medicus to incorporate articles relevant to adults diagnosed with osteoarthritis who are residents of sub-Saharan Africa. We will also include grey literature sources such as Google Scholar, Research Square, manuals, books, medical society websites, secondary databases, theses and dissertation repositories and conference proceedings. Study selection will be conducted in two stages by a pair of reviewers who will independently screen titles and abstracts according to the eligibility criteria, followed by a full-text review of the selected studies. The search period was from October 2025 to January 2026. Data extraction will be performed using a standardised charting form developed by the review team.
This scoping review maps evidence on OA-related socioeconomic impacts and healthcare inequities in Sub-Saharan Africa. As a secondary data analysis, ethical approval is not required. Findings will be disseminated via peer-reviewed journals and academic conferences to clinicians and policymakers.
Data quality in electronic health records (EHRs) is central to data-informed healthcare. Health professionals play a key role in ensuring data quality yet the complexities of clinical data practices remain poorly understood. Previous reviews have focused on specific documentation domains or professions, leaving a gap in understanding the broader individual, organisational, technological and contextual factors influencing data quality in hospital settings. This scoping review aims to identify and map factors that promote or hinder data quality in EHRs among health professionals in hospital settings.
The review will follow the Joanna Briggs Institute (JBI) methodology for scoping reviews and be reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Scoping Reviews (PRISMA-ScR) checklist. Peer-reviewed studies will be identified through comprehensive searches in PubMed, Scopus, Web of Science, CINAHL and Google Scholar. Two independent reviewers will screen titles, abstracts and full texts and extract data using the JBI Extraction Form. Data will be charted and mapped according to the six dimensions of the Digital Health Data Quality Dimension and Outcome (DQ-DO) framework—accuracy, completeness, consistency, contextual validity, currency and accessibility—and analysed across professional groups and hospital contexts.
Ethical approval is not required for this scoping review as it is based on publicly available data. The findings will be disseminated through peer-reviewed publication and presentations at relevant academic and clinical conferences.
The protocol has been registered in the Open Science Framework: https://doi.org/10.17605/OSF.IO/YQ2DX
by Patricia Fiorino, Luigi Fernandes Rosa Cauduro, Danielle Silberspitz Konig, Leonardo Fernandes Rosa Cauduro, Caio de Araujo Santos, Juliana Alves Kavai, Isadora Durigan Duarte, Anna Laura Viacava Américo
Zebrafish (Danio rerio) are widely used as models in cardiovascular research due to their rapid development, optical transparency, and genetic similarity to humans. However, the lack of standardized experimental conditions, particularly regarding developmental stage and microenvironmental parameters, limits reproducibility across studies. This study aimed to characterize cardiovascular function in Zebrafish larvae and evaluate the impact of developmental stage and environmental factors. Wild-type AB embryos were maintained under standard conditions, and heart rate (HR), cardiac output (CO), and ejection fraction (EF) were measured at 24, 30, 48, 52, 56, 72, 78, and 80 hours post-fertilization (hpf). The effects of variations in temperature (27.0, 27.5, and 28.0 °C) and pH (7.0, 7.4, and 8.0) were also assessed. Results showed a progressive increase in HR from 24 to 72 hpf, stabilizing thereafter. CO exhibited two phases of elevation: an early rise between 24–48 hpf and a stronger increase between 48–56 hpf. EF remained generally stable, with a transient reduction at 48 hpf. Cardiovascular performance reached a physiologically stable state after 72 hpf, defining a reliable window for functional studies. Environmental conditions modulated these parameters: temperature variation induced approximately 20% difference in HR and reduced EF, while CO was minimally affected. In contrast, pH variations within the physiological range had no significant impact on HR, CO, or EF. These findings highlight developmental and environmental variables that may influence cardiovascular measurements in Zebrafish larvae and support the development of more consistent experimental approaches in cardiovascular and toxicological research.Retractions in nursing are often framed as isolated instances of author misconduct or editorial failure. Drawing on recent longitudinal analysis of retracted nursing articles and the Journal Systems Framework (JSF), this Commentary argues that retractions are better understood as system-level signals reflecting differences in editorial capacity, governance, and infrastructure across journal systems.
Between 1997 and 2022, 123 nursing articles were retracted, with persistent concerns related to ethical violations, variability in retraction notice quality, delayed corrective action, and continued post-retraction citation.
Applying the JSF highlights how corrective capacity varies across journal systems, shaping the timeliness, transparency, visibility, and downstream amplification of retraction practices. High-profile retractions in flagship journals may reflect greater corrective capacity rather than uniquely severe ethical failure. Interpreting retractions as indicators of system stress, rather than moral anomalies, shifts attention from individual blame toward strengthening editorial infrastructure.
A systems-aware approach positions nursing scholarship to improve transparency, resilience, and trust as publication volume and complexity continue to grow.
Because nursing scholarship informs clinical care, education, and policy, failures in the scholarly record have implications beyond publishing itself. Greater understanding of retractions and corrective editorial processes can help strengthen trust in evidence used to guide nursing and health care practice.
To examine gender-based disparities across each link of the American Heart Association's Chain of Survival for women experiencing out-of-hospital cardiac arrest, highlighting systemic, cultural and educational barriers that compromise equitable outcomes.
A discursive review synthesizing epidemiological studies, public health data and qualitative research on cardiac arrest and gender disparities.
A comprehensive search of databases including PubMed and CINAHL identified studies on gender differences in out-of-hospital cardiac arrest recognition, bystander intervention, emergency response and post-arrest care. Literature was critically analyzed using constant comparative analysis and organized according to the five links of the American Heart Association's Chain of Survival to identify recurring themes and evidence of disparity.
Significant disparities were identified at every link in the Chain of Survival. Women are less likely to have cardiac symptoms recognized, receive bystander cardiopulmonary resuscitation or defibrillation and experience timely or guideline-concordant advanced life support and post-resuscitation care. Contributing factors include implicit bias, underrepresentation of women in resuscitation training materials and social norms that hinder rapid intervention.
Gender disparities in cardiac arrest survival are systemic and multifactorial, resulting in ‘broken links’ across emergency response systems, public perceptions and healthcare education. Addressing these inequities requires reforms in public education, resuscitation training and clinical protocols that prioritize gender-sensitive and inclusive care.
Nurses, as educators, advocates and caregivers, are uniquely positioned to drive transformational change in emergency and cardiac care. By championing women-centered and gender-sensitive resuscitation education, implementing inclusive practices and addressing intersectional barriers, nurses can help ensure equitable, responsive and just care. Advancing these priorities is essential for improving survival and neurological outcomes for women and advancing health equity in global healthcare.
We adhered to the principles of the EQUATOR guidelines. This discursive paper did not meet the criteria for a specific standardized checklist.
No patient or public involvement. This study did not include patient or public involvement in its design, conduct or reporting.
Globally, a lower-extremity amputation occurs every 20 s as a complication of a diabetic foot ulcer, underscoring the urgent need for effective preventive strategies. Previous studies have shown that temperature-based foot monitoring can reduce both the incidence and severity of diabetic foot ulcers. However, real-world adherence data for remote temperature monitoring remain limited, particularly in diverse or resource-constrained communities. We conducted a pilot implementation study of 20 adults with diabetes and a history of diabetic foot ulcers to assess adherence to a remote foot temperature monitoring mat within the context of receiving podiatric care. Participants are instructed to stand on the mat for 20 s daily, and data are transmitted wirelessly for remote monitoring. Adherence was defined as use of the mat at least four times a week. Participants demonstrated high adherence to the foot monitoring mat, averaging 6 scans per week, with sustained adherence over the 6-month study period. These findings suggest that high-risk patients with diabetes can reliably engage with the foot temperature monitoring technology, supporting its potential as a management tool to improve outcomes and reduce the burden of diabetic foot ulcer-related complications in high-risk, resource constrained patient populations.
To evaluate the effectiveness of simulation on nursing students' translation into practice of clinical judgement, knowledge about the nursing process self-confidence and to comprehend the learning process and translation into clinical practice of competencies developed through clinical simulation in nursing students.
Two-arm, experimental, randomized controlled study designed using the explanatory sequential mixed method with qualitative step anchored in grounded theory.
Eighty undergraduate nursing students were allocated in practice groups and the groups were randomly assigned to an experimental (simulation; n = 39) or control group (study case; n = 41) and, after the intervention, participated in 3-day clinical practice activities and were assessed regarding clinical judgement, knowledge of the nursing process and self-confidence. Students in the experimental group were invited to focus groups.
Seventy-six students were analysed. The findings showed the effectiveness of simulation combined with clinical practice in the development and translation of clinical judgement (β = 5.03; p = 0.001) and knowledge of nursing process (β = 2.20; p < 0.001). There was no difference regarding self-confidence. A grounded theory emerged with three categories related to consolidation of prior knowledge, translating competencies into clinical practice and application of these competencies in nursing care that explain the theoretical category ‘learning and translating into clinical practice’.
Findings suggest that simulation combined with clinical practice can effectively enhance nursing students' clinical judgement and knowledge of the nursing process, facilitating the translation of these competencies into real-world practice. The qualitative findings suggest that simulation promotes meaningful learning and supports the practical application of nursing competencies.
This study supports the integration of simulation into nursing curricula to enhance clinical judgement and nursing process competencies. By promoting meaningful learning and facilitating knowledge transfer to clinical settings, simulation prepares students for real-world decision-making and strengthens the quality and safety of nursing care delivery.
No patient or public contribution.
RBR-7v374c6 (Brazilian Clinical Trials Registry) https://ensaiosclinicos.gov.br/rg/RBR-7v374c6
by Wen-Jui Han, Johanna Carrasco Saravia, Matthias Pollmann-Schult, Tinh Doan, Jianghong Li
Study aimsUsing a cross-country lens, we investigate the links between longitudinal work trajectories and health among parents with children under age 18.
BackgroundEmployment serves as a valuable resource, affording us a decent standard of living. The rising dominance of digital and technology, together with the service economy since the 1980s, has transformed the utility of employment from a resource to a vulnerability, subjecting more families to uncertain, unstable, and insecure work. Nonstandard work schedules or shiftwork, which often fall outside regular 9-to-5 daytime hours and can be unpredictable, carry potential health consequences.
MethodsUsing the longitudinal data from Australia (HILDA), Germany (SOEP), the UK (UKHLS), and the US (NLSY79), we used sequence analysis to first chart parental work schedule patterns between three stages of the life course, 25–34, 35–44, and 45–54, to show the changes and transitions in work patterns. We then conducted multivariate regression analysis to examine how variations in parental work patterns may shape individual health (i.e., physical and mental health) at ages 35/40, 45/50, and 55/60 while controlling for a rich set of sociodemographic characteristics.
ResultsOur sequence analyses uncovered roughly 4–6 work patterns during those three periods, revealing the heterogeneities of parental work trajectories that might correspond to childrearing demands and their sociodemographic backgrounds. We also found that mainly not-working pattern or volatile work arrangements (e.g., switching between daytime and non-daytime hours) were associated with significantly poorer physical and mental health; however, the persistence and magnitude of these associations varied by country.
ConclusionsThis study advances our understanding of the critical role of employment in our health from a cross-country perspective and bears important implications for the intergenerational transmission of employment and health vulnerabilities.
by Sadia Akter, Md. Nazid Bin Ibrahim, Zimam Mahmud, Sonia Tamanna, Md. Shakhawat Hossain Shawon, Farzana Ansari, Md. Zakir Hossain Howlader
Acute myocardial infarction (AMI) remains a leading cause of cardiovascular morbidity and mortality worldwide. Emerging evidence highlights vitamin D as a critical determinant of cardiovascular health. The CYP2R1 gene encodes the key 25-hydroxylase enzyme responsible for converting vitamin D to its principal circulating metabolite, 25-hydroxyvitamin D. However, the influence of CYP2R1 polymorphisms on AMI susceptibility, particularly within South Asian populations, has not been well characterized. This study investigates the association of two CYP2R1 variants, rs2060793 and rs12794714, with AMI risk and their relationship with serum vitamin D levels in a Bangladeshi cohort. A total of 502 participants comprising 251 AMI patients and 251 age- and sex-matched controls were analyzed. Genomic DNA was extracted and genotyped using PCR-RFLP, while serum 25-hydroxyvitamin D3 levels were quantified by HPLC. AMI patients exhibited markedly lower vitamin D concentrations (23.92 ± 0.94 ng/mL) than controls (30.3 ± 0.86 ng/mL; p p = 0.0064). The dominant model (TC + CC vs. TT) further confirmed this relationship (OR = 2.53, 95% CI: 1.39–4.61, p = 0.0016). In contrast, rs12794714 showed no significant association with AMI in this population. Stratified analysis indicated that rs2060793 was significantly linked to AMI in males but not females, while both variants were associated with increased risk in individuals aged ≤60 years, but not in those >60 years. Bioinformatic and molecular docking analyses (RegulomeDB, JASPAR, HADDOCK 2.4, DNAproDB) further demonstrated potential regulatory effects of these variants on CYP2R1 function. Collectively, our findings reveal a novel association between CYP2R1 rs2060793 and vitamin D deficiency with AMI risk in the Bangladeshi population, underscoring the interplay of genetic and metabolic determinants in the molecular pathogenesis of AMI.The initiation of buprenorphine for patients with opioid use disorder (OUD) in the emergency department (ED) has been associated with improved outcomes including reduced ED visits and increased treatment engagement. Though both standard-dose (8 mg buprenorphine equivalent) and high-dose (24 mg buprenorphine equivalent) strategies to initiate buprenorphine have been used in the ED, no prospective trials comparing outcomes among patients receiving these treatments have been reported.
This multisite randomised clinical trial is a multisite double-blind, double-dummy, randomised clinical trial enrolling 360 emergency department patients with moderate-to-severe OUD. Enrolled patients will be randomised to one of two study arms: standard-dose induction or high-dose induction, both provided in the ED. This study will engage, train and provide resources to five EDs throughout the US to recruit patients with untreated OUD into a randomised clinical trial. The primary aim is to evaluate the effects of the standard-dose induction and high-dose induction on rates of OUD treatment participation within 10 days post-randomisation. The secondary aims are to evaluate differences between standard-dose induction and high-dose induction on the outcomes of opioid craving, opioid withdrawal symptoms and illicit drug use assessed during 10 days post randomisation and evaluate the effects between treatment arms on rates of OUD treatment participation within 30 days post randomisation.
This study is funded by the National Institute on Drug Abuse and has been approved by the WCG Instutitional Review Board. It has been registered at clinicaltrials.gov. This study will inform the strategy for treatment initiation with buprenorphine among diverse ED settings and will provide ongoing evidence to support the safety and efficacy of initiating treatment for OUD in the ED.
The survival rate of patients with life-threatening diseases primarily depends on the speed of diagnosis. Too often, diseases are detected only after symptoms appear, which usually occurs at later stages of a disease when available treatments may be less effective. Current detection techniques primarily depend on identifying metabolites in biofluids such as blood and urine. The analysis of these fluids is typically performed in laboratories, resulting in lengthy waiting times for patients to receive their results. In severe cases, invasive biopsies and radiative methods are used to diagnose conditions such as cancer. These biopsies can cause distress for patients who are already experiencing significant emotional or physical stress, while imaging techniques involving ionising radiation may pose additional health risks. Additionally, these methods can be costly. In recent years, exhaled breath has become a biofluid matrix of interest for disease detection, allowing for the identification of volatile organic compounds (VOCs) or VOC profiles associated with specific conditions. To improve early disease detection through breath analysis, the VOCORDER project aims to develop a device that provides a fast, simple, user-friendly and cost-effective method for continuous health monitoring to identify diseases in their early stages before symptoms appear.
A literature review was initially conducted to identify five reference diseases of interest (lung cancer, stomach/colon cancer, breast cancer and kidney insufficiency) and previously reported VOC profiles associated with these diseases. In this trial, the project team from the MITERA Hospital will select patients, and the hospital staff will conduct personal interviews with these subjects. Each participant will also complete a questionnaire for the acquisition of demographic and medical history data, after being informed in detail about the purposes of the questionnaire and signing a consent form. The study protocol consists of two phases. Phase 1 is a baseline study designed to detect and identify breath biomarkers for the early diagnosis of the diseases mentioned above using gas chromatography-mass spectrometry (GC-MS) and secondary electrospray ionisation high-resolution mass spectrometry (SESI-HR-MS). Prescreening will select 120 healthy controls and 175 patients for the baseline phase of the clinical trial, for which breath samples will be collected in 1 L Supel-Inert Multi-Layer Foil gas sampling bags. New biomarkers and VOC profiles will be extracted from these data, and further statistical analysis will allow for artificial intelligence (AI) models to be produced and tested. For phase 2 (validation phase), 120 healthy controls and 100 patients will be selected. Breath samples will again be collected in 1 L gas sampling bags for analyses with GC-MS and SESI-HR-MS. The VOCORDER device will also be used, and its functioning with the newly developed AI models will be evaluated.
This clinical study has been approved by the scientific council at the MITERA hospital in Athens, Greece (#513/2024). The outcomes will be disseminated through peer-reviewed journal publications and presentations at scientific conferences.
Cytoreductive surgery (CRS) with heated intraperitoneal chemotherapy (HIPEC) is a treatment for peritonitis carcinomatosa. These procedures often involve significant blood and fluid loss, leading to hyperdynamic circulation and vasodilation, necessitating intraoperative fluids and vasoconstrictors such as catecholamines. Excessive fluid administration to counteract vasodilation can cause intraoperative fluid overload, which is linked to increased postoperative complications. Vasopressin has emerged as a potential alternative to catecholamines, restoring vascular tone via non-adrenergic pathways and supporting perfusion pressure, potentially reducing the need for compensatory fluids solely administered to compensate for vasodilation. We hypothesise that compared with norepinephrine, vasopressin reduces cumulative intraoperative fluid administration during CRS-HIPEC within a goal-directed fluid therapy (GDFT) protocol, ultimately leading to a lowering of postoperative complications.
HiPress is a two-centre, two-arm randomised clinical trial with blinding of both patients and outcome assessors. A total of 70 adult patients undergoing CRS-HIPEC will be included. Patients will be randomised to receive either continuous low-dose argipressin or continuous low-dose norepinephrine. Both groups will receive standardised GDFT during the procedure. The primary endpoint is cumulative intraoperative fluid administration (mL). Secondary endpoints include direct fluid-related outcomes (eg, cumulative intraoperative fluid (ml/kg/hour), postoperative fluid balance until day five and ultrasound-assessed pulmonary oedema and venous congestion) and indirect fluid-associated outcomes (eg, quality of recovery, surgical and abdominal complications, acute kidney injury (AKI), pulmonary complications, length of ICU and hospital stay and 30-day mortality).
The study is enrolling patients since February 2025. The trial is approved by the Medical Research Ethics Committee (hereinafter: MREC) NedMec, The Netherlands (Ref: D-25-500202). Results of the trial will be published in an international peer-reviewed journal and announced at national and international scientific meetings.
Clinical Trials Information System (CTIS): European Union clinical trials register (EUCT) number: 2024–5 13 598-33-00
Ensuring the health of agricultural workers, the world’s largest labour force, is key for sustainable food production and progress towards the Sustainable Development Goals (SDGs).
We conducted an artificial intelligence (AI)-assisted evidence map of research records on global farmer health published from 2015 to 2024. We searched bibliographic databases and screened titles/abstracts using SWIFT-Active Screener, a collaborative review platform that uses machine-learning prioritisation to rank records for human review. We retrieved 32 006 records. After manually screening 8533 records and stopping when the tool estimated ≥94% recall of relevant records, we included 1684 studies. We mapped research output by health topic category (non-communicable diseases (NCDs), communicable diseases, injuries and mental health) country income groups and alignment with SDG 3 targets.
Despite 98% of the agricultural workforce living in low- and middle-income countries (LMICs), 52% of studies originate from high-income countries (HICs). Research focuses on NCDs (29%) and injuries (26%), with LMICs focusing on pesticide poisoning and HIC on accidents. Mental health emerges as a key topic in HICs, with the proportion of publications nearly doubling from 2021 to 2024 but remains underexplored in LMICs. Key gaps with high relevance to farming populations and climate change, such as heat-related illnesses, occupational injuries and musculoskeletal conditions, are not well represented in SDG 3 indicators.
Our findings highlight urgent needs for a more equitable and comprehensive global research agenda that integrates agricultural worker health into sustainability frameworks beyond the SDG era, ensuring the resilience and well-being of food producers worldwide.
To identify nurse practitioners' and registered nurses' willingness to participate in voluntary assisted dying, and the factors that influence these decisions.
A cross-sectional design.
An online survey was disseminated to members of 16 professional nursing organisations and associations between April and August 2024.
Responses from 396 participants were analysed. Most were registered nurses (n = 335, 84.6%), aged between 45 and 64 years (n = 217, 54.8%). Over half of the participants (n = 219, 55.3%) had some knowledge of voluntary assisted dying, and more than two-thirds (n = 274, 69.2%) strongly supported it. Respect for a person's rights (n = 345, 89.8%) and relieving suffering (n = 342, 89.1%) were the main reasons nurses participated. Most nurse practitioner participants would be prepared to assess a person's eligibility for voluntary assisted dying (n = 32, 82.1%) or prescribe a substance (n = 31, 79.5%), if permitted by law. Religion, age and years of experience were characteristics associated with reasons for participation.
In Australia, some RNs and NPs are willing to participate in a range of VAD-related activities. However, in some jurisdictions, nurses' engagement is limited by legislative and policy settings. Reconsideration of nurses' roles may enhance access.
With appropriate support, nurses can make a valuable contribution to the sustainability of the voluntary assisted dying workforce.
FreshRSS 