Conectar
by Miriam Mohatar-Barba, Ángel Fernández-Aparicio, Javier S. Perona, Jacqueline Schmidt-RioValle, Carmen Enrique-Mirón, Emilio González-Jiménez
Different indirect methods have been developed to assess insulin resistance (IR), though their validation has been limited to adult populations. In this sense, the study aim is to compare the predictive capacity of the McAuley, QUICKI, SPISE indices, and glucose-insulin ratio against insulin resistance (IR) in Spanish adolescents and to establish reliable cut-off values for these indices in this population. A cross-sectional study was conducted with 981 adolescents aged 11–16 years, from Southern Spain. Anthropometric measurements and fasting biochemical parameters, were assessed. IR indices, such as HOMA-IR, QUICKI, the McAuley index, SPISE, and the glucose-insulin ratio, were calculated. The ability of each index to predict IR was evaluated using multivariate regression analysis and receiver operating characteristic (ROC) curves. Boys exhibited higher waist circumference, triglyceride levels, and fasting insulin levels, while girls had a higher percentage of body fat (pTo identify and synthesise the ethical, feasibility and acceptability challenges associated with implementing eye-tracking research with clinicians in acute care settings and to explore strategies to address these concerns.
Scoping review using the Joanna Briggs Institute methodology.
Six databases (MEDLINE, CINAHL, EMBASE, Web of Science, APA PsycInfo and ProQuest Dissertations & Theses Global) were searched for peer-reviewed articles. Reference lists of included studies were also hand-searched.
Eligible studies involved clinicians using or interacting with eye-tracking devices in acute care environments and addressed at least one ethical, feasibility, or acceptability consideration. Data were extracted and thematically analysed. Knowledge users, including clinicians, ethicists and a patient partner, were engaged during protocol development and findings synthesis.
Twenty-five studies published from 2010 to 2024 were included. Seven challenges were identified: obtaining ethical approval, managing consent, privacy and confidentiality concerns, collecting data in unpredictable environments, interference with care, participant comfort and data loss or unreliability. Knowledge users highlighted the importance of early institutional engagement, clear protocols, continuous consent and context-sensitive ethical reflection.
Eye-tracking offers valuable insights into clinician behaviour and cognition, but its implementation in acute care raises complex ethical and methodological issues. Responsible use requires anticipatory planning, stakeholder engagement and flexible yet rigorous protocols.
By informing the development of ethically sound study protocols and consent practices, this work contributes to safer, more transparent and patient-centred research that respects participant autonomy and protects clinical workflows.
The protocol was registered with the Open Science Framework (https://osf.io/jn4yx).
Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA; Page et al., 2021) and its Extension for Scoping Reviews (Tricco et al., 2018).
A patient partner was involved in protocol development, interpretation of findings and development of study recommendations. Their contributions included participating in advisory groups and providing feedback alongside clinicians and ethicists during focus groups. This input helped ensure the research addressed patient-relevant priorities and informed the development of ethically responsible practices for conducting eye-tracking research in clinical care settings.
Respiratory syncytial virus (RSV) is a leading cause of hospitalisation in infants worldwide. New immunoprophylactic products, including long-acting monoclonal antibodies and maternal vaccines, have demonstrated high efficacy in prelicensure clinical trials. Understanding how these interventions perform outside controlled trials, and how viral evolution or host factors influence protection, is essential for sustaining confidence in RSV prevention programmes.
We will conduct a 5-year, test-negative case–control study among infants ≤12 months of age who present with acute respiratory illness (ARI) within a large healthcare delivery network serving a demographically diverse population. Cases will be infants testing positive for RSV by PCR, and controls will be RSV-negative infants meeting the same ARI criteria. Data will be obtained from electronic health records, structured caregiver surveys and state immunization registries to ensure accurate classification of exposures and covariates. Vaccine effectiveness will be estimated using multivariable logistic regression controlling for potential confounding. RSV-positive specimens will undergo full-genome sequencing to identify variant lineages and potential immune-escape mutations. A subset of participants will provide acute and convalescent blood samples for single-cell immune profiling to define innate and adaptive responses associated with breakthrough infection.
The study protocol has been approved by the Yale Human Investigation Committee (HIC #2000036550). Written informed consent will be obtained from all parents or legal guardians prior to participation. Study findings will be disseminated through peer-reviewed publications, scientific meetings and public repositories, with fully de-identified participant data to protect privacy and confidentiality. Viral genomic data will be shared in accordance with the National Institutes of Health Genomic Data Sharing Policy, and analytical code will be made publicly available to ensure reproducibility.
Colorectal cancer (CRC) is one of the most common cancers worldwide. Stage II/III patients undergo curative-intent surgery yet still face the recurrence risk. Detecting recurrences early provides the best opportunity for optimal treatment. We aimed to develop a microsimulation model to evaluate CRC management-associated outcomes based on current guidelines, including the performance of guideline-recommended surveillance in detecting recurrences.
Two separate individual-level state transition (microsimulation) models for colon and rectal cancer were built with a lifetime horizon using monthly cycles. The models integrated treatment and surveillance strategies per current guidelines.
The currently recommended surveillance modalities by National Comprehensive Cancer Network guidelines for surveilling patients with CRC after curative-intent surgery.
65-year-old patients with stage II and stage III CRC who underwent curative-intent surgery in the USA.
Cumulative recurrences, detected recurrences, detection rate, overall survival and recurrence-free survival in a 5-year horizon, as well as average life expectancy, were the outcome measures used.
Over 5 years, disease recurrence was observed in 9.5% of patients with stage II–III colon cancer and in 38.0% of patients with stage II–III rectal cancer. Of these, 82.5% and 85.5% were detected via surveillance, respectively, within 5 years. The predicted 5-year overall survival was 86.0% for colon cancer and 69.3% for rectal cancer, with corresponding recurrence-free survival rates of 78.9% and 53.8%. Based on current guidelines-recommended surveillance, detecting one colon cancer recurrence requires 148 carcinoembryonic antigen (CEA) tests, 37 CT scans and 21 colonoscopies. In contrast, detecting one rectal cancer recurrence requires 31 CEA tests, 8 CT scans and 4 colonoscopies.
Our validated model suggests that relative to an optimal benchmark in which all recurrences are detected, recurrence detection under current guidelines may be suboptimal, indicating room for improvement. As new tests emerge, this model could be a valuable tool for evaluating existing clinical practices and the potential of new tests to enhance patient outcomes.
Post-COVID-19 syndrome (PCS) is characterised by persistent symptoms, such as fatigue, dyspnoea, depression and sleep problems, following SARS-CoV-2 infection. The long-term course and impact on quality of life remain unclear. This review aims to synthesise evidence on longitudinal changes in symptom prevalence, severity and health-related quality of life (HRQoL) in adults with PCS.
This systematic review will include longitudinal studies (randomised controlled trials, non-randomised trials, prospective and retrospective cohort studies) of adults (≥18 years) with PCS, defined by symptoms persisting beyond 4 weeks after acute infection. Eligible studies must report changes in prevalence or severity of fatigue, dyspnoea, depression, sleep problems or HRQoL from baseline to at least one follow-up visit.
We will systematically search MEDLINE, Embase, PsycINFO, Web of Science, Scopus, CINAHL and Epistemonikos, with no restrictions on language, date or publication status. Two reviewers will independently screen studies, extract data and assess risk of bias using validated tools appropriate to study design. Disagreements will be resolved by consensus or a third reviewer.
A narrative synthesis will summarise study characteristics and symptom trajectories. Where sufficient data are available, random-effects meta-analyses will be conducted to estimate pooled changes in symptom prevalence (ORs), severity ((standardised) mean differences) and HRQoL ((standardised) mean differences). Meta-regression and subgroup analyses will explore potential effect modifiers. Certainty of evidence will be evaluated using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.
No ethical approval is required. Findings will be disseminated via peer-reviewed publication, conference presentations and plain language summaries.
CRD420251011612.
Medication administration errors are high-risk patient safety issues that could potentially cause harm to patients, thereby delaying recovery and increasing length of hospital stay with additional healthcare costs. Nurses are pivotal to the medication administration process and are considered to be in the position to recognize and prevent these errors. However, the effectiveness of interventions implemented by nurses to reduce medication administration errors in acute hospital settings is less reported.
To identify and quantify the effectiveness of interventions by nurses in reducing medication administration errors in adults' inpatient acute hospital.
A systematic review and meta-analysis was conducted up to 03/24. Six databases were searched. Study methodology quality assessment was conducted using the Joanna Briggs Institute (JBI) critical appraisal tools, and data extraction was conducted. Meta-analysis was performed to combine effect sizes from the studies, and synthesis without meta-analysis was adopted for studies that were not included in the meta-analysis to aggregate and re-examine results from studies.
Searches identified 878 articles with 26 studies meeting the inclusion criteria. Five types of interventions were identified: (1) educational program, (2) workflow smart technologies, (3) protocolised improvement strategy, (4) low resource ward-based interventions, and (5) electronic medication management. The overall results from 14 studies included in meta-analysis showed interventions implemented by nurses are effective in reducing medication administration errors (Z = 2.15 (p = 0.03); odds ratio = 95% CI 0.70 [0.51, 0.97], I 2 = 94%). Sub-group analysis showed workflow smart technologies to be the most effective intervention compared to usual care. Findings demonstrate that nurse-led interventions can significantly reduce medication administration errors compared to usual care. The effectiveness of individual interventions varied, suggesting a bundle approach may be more beneficial. This provides valuable insights for clinical practice, emphasizing the importance of tailored, evidence-based approaches to improving medication safety.
PRISMA guided the review and JBI critical appraisal tools were used for quality appraisal of included studies.
Global discussions surrounding the medical use of marijuana have gained momentum; yet in Malaysia, cannabis remains strictly prohibited under the Dangerous Drugs Act 1952. Despite its legal status, there is growing public discourse on its potential therapeutic benefits. Understanding public acceptance is critical for informing future health policies and public education efforts.
This study used a cross-sectional design, web-based survey among Malaysians aged 18 years and above using convenience and snowball sampling methods. The survey collected data on sociodemographic characteristics, lifestyle factors (eg, smoking and drug use), awareness of medical marijuana and perceived risk. Multivariable logistic regression analysis was performed to identify factors associated with acceptance of medical marijuana decriminalisation.
Out of 2047 respondents, 88.4% supported medical marijuana decriminalisation based on clinical evidence. Key predictors of acceptance included male gender (adjusted OR (AOR) 1.71; 95% CI 1.29 to 2.26), higher education (Bachelor’s degree AOR 1.56; 95% CI 1.09 to 2.23 and Master’s/PhD AOR 2.04; 95% CI 1.34 to 3.10), self-employment (AOR 1.84; 95% CI 1.22 to 2.77) and private sector employment (AOR 1.40; 95% CI 1.03 to 1.89). Behavioural factors, such as smoking (AOR 1.58; 95% CI 1.10 to 2.27), prior drug use (AOR 1.86; 95% CI 1.30 to 2.67) and low perceived risk (AOR 5.82; 95% CI 3.48 to 9.73), were also significantly associated with acceptance.
A large proportion of Malaysian adults supported the clinical use of medical marijuana. Acceptance was strongly associated with demographic and behavioural factors, particularly gender, education and perceived risk. These findings may guide the development of targeted public health education and inform future discussions on regulatory approaches in Malaysia.
by Plotine Jardat, Alexandra Destrez, Fabrice Damon, Noa Tanguy-Guillo, Anne-Lyse Lainé, Céline Parias, Fabrice Reigner, Vitor H. B. Ferreira, Ludovic Calandreau, Léa Lansade
Olfaction is the most widespread sensory modality animals use to communicate, yet much remains to be discovered about its role. While most studies focused on intraspecific interactions and reproduction, new evidence suggests chemosignals may influence interspecific interactions and emotional communication. This study explores this possibility, investigating the potential role of olfactory signals in human-horse interactions. Cotton pads carrying human odours from fear and joy contexts, or unused pads (control odour) were applied to 43 horses’ nostrils during fear tests (suddenness and novelty tests) and human interaction tests (grooming and approach tests). Principal component analysis showed that overall, when exposed to fear-related human odours, horses exhibited significantly heightened fear responses and reduced interaction with humans compared to joy-related and control odours. More precisely, when exposed to fear-related odours, horses touched the human less in the human approach test (effect size: Rate Ratio(RR)=0.60 ± 0.24), gazed more at the novel object (RR = 1.32 ± 0.14), and were more startled (startle intensity – Cohen’s d = −0.88 ± 0.39; and maximum heart rate – Cohen’s d = 1.16 ± 0.47) by a sudden event. These results highlight the significance of chemosignals in interspecific interactions and provide insights into questions about the impact of domestication on emotional communication. Moreover, these findings have practical implications regarding the significance of handlers’ emotional states and its transmission through odours during human-horse interactions.by Giacinto Angelo Sgarro, Paride Vasco, Domenico Santoro, Luca Grilli, Marco Giglio, Natale Daniele Brunetti, Luigi Traetta, Giuseppe Cibelli, Anna Antonia Valenzano
Sudden Cardiac Death (SCD) is a critical and unexpected condition that occurs due to cardiac causes within one hour of the onset of acute cardiovascular symptoms or twenty-four hours in unwitnessed cases. Despite advancements in cardiovascular medicine, practical methods for predicting SCD are still lacking, and there are no standardized systems to identify individuals at risk, especially in seemingly healthy populations such as athletes. In this study, we employed hierarchical clustering and principal component analysis (PCA) on data from 711 competitive athletes, revealing distinct patterns and cluster distributions in PCA space. Specifically, Clustering revealed characteristic feature combinations associated with increased SCD risk in athletes. Notably, certain clusters shared traits, including participation in Class C sports, sinus tachycardia, ventricular pre-excitation, personal or family history of heart disease, T-wave inversions, and prolonged QTc intervals. PCA helped visualize these patterns in distinct spatial regions, highlighting underlying structures and aiding intuitive risk interpretation. These results enable scientists to derive cluster metrics that serve as reference points for classifying new individuals and visually representing risk patterns in a clear graphical format. These findings establish a foundation for predictive tools that, with additional clinical validation, could aid in the prevention of SCD. The dataset used in this study, along with the clustering and PCA results, is available to the scientific community in an open format, together with the necessary tools and scripts to enable independent experimentation and further analysis.by Carmen Villagrasa, Giorgio Baiocco, Zine-El-Abidine Chaoui, Michael Dingfelder, Sébastien Incerti, Pavel Kundrát, Ioanna Kyriakou, Yusuke Matsuya, Takeshi Kai, Alessio Parisi, Yann Perrot, Marcin Pietrzak, Jan Schuemann, Hans Rabus
Biological effects induced by diverse types of ionizing radiation are known to show important variations. Nanodosimetry is suitable for studying the link between these variations and the patterns of radiation interactions within nanometer-scale volumes, using experimental techniques complemented by Monte Carlo track structure (MCTS) simulations. However, predicted nanodosimetric quantities differ among MCTS codes, primarily because each code employs distinct molecular-scale particle interaction models. This multi-code study examines these variations for low-energy electrons (20–10,000 eV), which play a critical role in energy deposition and biological effects by virtually all types of ionizing radiation. Specifically, the hypothesis tested in this work is that inter-code variability in nanodosimetry results is mainly caused by differences in assumptions regarding total interaction cross sections. Ionization cluster size distributions and derived nanodosimetric parameters were simulated with seven MCTS codes (PARTRAC, PHITS-TS, MCwater, PTra, and three Geant4-DNA options) in liquid water as a surrogate for biological tissue. Significant inter-code differences were observed, especially at the lowest energies. They were substantially reduced upon replacing the original cross sections in each code with a common, averaged dataset, created ad-hoc for this study and not based on theoretical assumptions. For example, for 50 eV electrons in 8 nm spheres, the variability in the predicted mean ionization numbers decreased from 23% to 5%, and in the probability of inducing two or more ionizations from 34% to 7% (relative standard deviations). This quantification demonstrates that total interaction cross sections are the primary source of uncertainty at low electron energies. A sensitivity test using DNA damage simulations with the PARTRAC code revealed that cross section variations notably affect biological outcome predictions. Replacing the code’s original cross sections with the averaged ones increased the predicted double-strand break yield by up to 15%. These findings underscore the urgent need for improved characterization of low-energy electron interaction cross sections to reduce uncertainties in MCTS simulations and enhance mechanistic understanding of radiation-induced biological effects.To evaluate the impact of various antihypertensive drugs on secondary stroke prevention in a real-life setting.
Nationwide historic cohort study.
French healthcare system data (SNDS).
Adults hospitalised for ischaemic stroke between 2014 and 2015 were followed up until December 2021 and stratified based on the presence of atrial fibrillation (AF).
Risk of stroke recurrence was assessed using a time-dependent Cox cause-specific model accounting for changes in drug exposure. We also investigated the risk of major adverse cardiovascular events (MACE) or all-cause death. Models were adjusted on stroke characteristics, coprescriptions and co-morbidities, at inclusion and across follow-up.
Among 54 764 patients without AF (median age 71; 46% women) and 17 960 with AF (median age 79; 51% women), stroke recurrence occurred in 11% and 13%, respectively. In non-AF patients, reduced recurrence risk was associated only with use of calcium channel blockers (adjusted HR (aHR) 0.91, 95% CI 0.86 to 0.97), thiazide diuretics (aHR 0.90, 95% CI 0. 83 to 0.97), loop diuretics (aHR 0.86, 95% CI 0.77 to 0.95) and potassium-sparing agents (aHR 0.83, 95% CI 0.70 to 0.98). In AF patients, only potassium-sparing agents (aHR 0.82, 95% CI 0.69 to 0.99) were associated with reduced recurrence risk. All antihypertensive drugs, apart from loop diuretics, were associated with a reduced risk of MACE or all-cause death.
In this large cohort, only diuretics and calcium channel blockers were associated with a reduced risk of recurrent stroke. Most antihypertensive drugs, however, may be more effective in overall cardiovascular prevention.
To examine the association between nurse–patient mutuality (i.e., a good quality of the relationship between the nurse and the patient) and nurse professional quality of life.
A cross-sectional, multi-centre study was conducted across four tertiary hospitals in Italy.
Data collection took place from November 2023 to June 2024, enrolling 517 nurses. Both medical and surgical departments, as well as inpatients and outpatients departments were included. Data were collected on nurses caring for patients with chronic illness. Mutuality was measured with the Nurse–Patient Mutuality in Chronic Illness scale, which includes three dimensions: Developing and Going Beyond, Being a Point of Reference, Deciding and Sharing Care; Professional Quality of Life was measured with the Professional Quality of Life version 5, which includes three dimensions: Compassion Satisfaction, Secondary Traumatic Stress, Burnout. A Bayesian path analysis was employed to evaluate the contribution of mutuality dimensions to the dimensions of professional quality of life.
Nurses' sample consisted of 517 participants. The three dimensions of mutuality showed different associations with the three dimensions of professional quality of life. Specifically, Being a Point of Reference, along with Deciding and Sharing Care, was significantly associated with Compassion Satisfaction. The dimensions Developing and Going Beyond and Deciding and Sharing Care were significantly and negatively associated with Secondary Traumatic Stress. Additionally, Deciding and Sharing Care was significantly and negatively associated with Burnout.
As all the dimensions of mutuality were significantly associated with different aspects of professional quality of life, future interventions to improve nurses' professional quality of life may also consider nurse–patient mutuality.
Nurse–patient mutuality may be a novel area of research to enhance nurses' professional quality of life, with implications for clinical practice and organisational development.
Nurse–patient mutuality is a key indicator of a high-quality relationship, enabling shared goals and shared decision-making. Nurses' professional quality of life is one of the most important factors that influence their intention to leave. Little is known about the association between nurse–patient mutuality and nurses' professional quality of life. Mutuality influences nurses' and patients' outcomes. Understanding mutuality could enhance the professional quality of life for nurses, improving their compassion satisfaction and reducing their burnout.
We adhered to STROBE guidelines.
Patients were not included in the sample. Health workers were involved in the study.
To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.
Retrospective cohort study using logistic regression models to estimate 1-year and 5-year risks of all-cause mortality and composite cardiovascular outcomes.
Primary care practices in England contributing data to the Clinical Practice Research Datalink (CPRD) Aurum and CPRD GOLD databases between 2006 and 2019.
Patients with an incident (index) or prevalent AMI event. Models were trained on a random 80% sample of CPRD Aurum (n=1018 practices), internally validated on the remaining 20% (n=255) and externally validated using CPRD GOLD (n=248).
Discrimination assessed using sensitivity, specificity and area under the receiver operating characteristic curve (AUC). Calibration assessed using calibration plots.
In the index (prevalent) cohorts, 94 241 (64 789) patients were included in the training and internal validation sets, and 16 832 (7479) in the external validation set. For the index cohort, AUCs for 1-year [5-year] all-cause mortality were 0.802 (95% CI 0.793 to 0.812) [0.847 (0.841 to 0.853)] internally and 0.800 (0.790 to 0.810) [0.841 (0.835 to 0.847)] externally. For the primary composite outcome (stroke, heart failure and all-cause death), AUCs were 0.763 (0.756 to 0.771) [0.824 (0.818 to 0.830)] internally and 0.748 (0.739 to 0.756) [0.808 (0.801 to 0.815)] externally. Discrimination was higher in the prevalent cohort, particularly for 1-year mortality (AUC: 0.896, 95% CI 0.887 to 0.904). Models excluding treatment variables showed slightly lower but comparable performance. Calibration was acceptable across models.
These models can support clinicians in identifying patients at increased risk of short-term adverse outcomes following AMI, whether newly diagnosed or with a prior history. This can inform monitoring strategies and secondary prevention and guide patient counselling on modifiable risk factors.
Epidemics pose significant challenges for fragile health systems, particularly in humanitarian emergencies. Recent responses to epidemics such as cholera in Yemen and Ebola virus disease in the Democratic Republic of the Congo have highlighted the lack of effective and integrated coordination. We review existing global models for addressing large-scale epidemics in humanitarian emergencies, identify gaps and inefficiencies, and propose operational recommendations to enhance response mechanisms.
A two-pronged approach was used to identify and critically assess current response coordination frameworks. Using the Arksey and O’Malley framework, a scoping review was undertaken, which was complemented by key informant interviews with humanitarian emergency response experts. The interviews focused on identifying the existing challenges and potential strategies to improve epidemic response in humanitarian contexts.
The scoping review included 51 documents (13 peer-reviewed articles and 38 grey literature documents). We conducted in-depth interviews with 28 respondents representing 17 different agencies and donors.
We focused on two major response architectures: the Incident Management System (IMS) and the cluster system. IMS is an important coordination and response instrument increasingly being used to respond to infectious disease threats.
Outcome measures of interest included the gaps in the current mechanisms to address infectious disease threats in complex humanitarian emergencies.
Unlike the cluster system model, which relies on consensus decision-making, IMS has a command-and-control approach, ensuring rapid decision-making. However, it can also lead to vertical responses that neglect the cross-sectoral and complex needs of affected communities. In addition, we found that the absence of context-specific response coordination mechanisms, with clear roles and responsibilities for involved stakeholders, was a common shortcoming. Fragmented response efforts that sidelined national and local stakeholders and a lack of reliable funding were also identified as important weaknesses.
We recommend the integration of coordination mechanisms into a sufficiently flexible framework that can be adapted to local contexts, while empowering national and local actors and ensuring the continuity of essential humanitarian services. We propose a paradigm shift towards mechanisms that respect humanitarian principles, effectively addressing the epidemic threats while remaining focused on deploying community-centric response efforts.
To examine the association between maternal and neonatal biochemical variables in babies born to mothers with hypertensive disorders of pregnancy (HDP) and admitted to the neonatal unit within 24 hours of delivery.
Retrospective chart review study.
Specialised antenatal hypertension clinic and neonatal unit in a tertiary unit referral hospital.
Pregnancies complicated with HDP (N=282) and their neonates if admitted to the neonatal unit within 24 hours of delivery.
We examined the association between maternal and neonatal biochemical variables, after controlling for maternal, neonatal and pregnancy characteristics.
There were strong associations and independent prediction of neonatal levels by maternal levels for urea, creatinine, sodium and calcium. The highest associations were between neonatal and maternal urea and creatinine, where the only predictor was the respective maternal variable (model R2= 0.61 and 0.60, respectively). Similarly, maternal sodium and calcium were the strongest predictors for neonatal sodium and calcium (model R2= 0.36 and 0.22, respectively). On the contrary, the strongest predictor for neonatal total protein, albumin and globulin was the gestational age (model R2= 0.43, 0.35 and 0.48, respectively) with no maternal contribution for total protein and albumin.
Maternal levels of urea, creatinine, sodium and calcium, in a pregnancy complicated by HDP, should be taken into consideration by both the obstetric and neonatal teams when deciding on timing of delivery and providing intensive monitoring.
It has been reported that pregnant women used more cosmetics daily than non-pregnant women. Phenoxyacetic acid is the main metabolite of phenoxyethanol, the most frequent preservative in cosmetics used in Europe, previously associated with reproductive effects (longer time to conception, endocrine disruptors in newborns and poorer verbal comprehension in children). In France, specialised platforms (PREVention ENvIronment Reproduction (PREVENIR)) in university hospital maternity wards are dedicated to evaluating environmental and occupational exposures in patients with pregnancy-related pathologies and supporting targeted prevention efforts. These platforms are composed of occupational health physicians, obstetrician-gynaecologists, midwives, occupational health nurses, and occupational health and environmental engineers. To assess the efficacy of these platforms, we developed a randomised clinical trial, the protocol for which is presented in this paper. The primary objective of the PREVENIR-G Study is to compare the change in urinary phenoxyacetic acid concentrations from baseline to 3 months postintervention between an intervention group and a control group. To date, the intervention has been integrated into routine care in certain facilities; however, its efficacy remains unproven. It is therefore essential to assess the relevance of this intervention, considering both its potential benefits and any adverse effects, such as increased stress or anxiety.
This study is an unblinded, randomised clinical superiority trial with two parallel groups (intervention vs no intervention) in four university maternity hospitals in France. We will include 300 pregnant women (aged 18 years or older) who are under 24 weeks of gestation (150 per group) referred to the participating PREVENIR platforms for management. The intervention will consist of clinical prevention management through the PREVENIR platforms, involving a consultation with an environmental health expert for an assessment of environmental and occupational exposures. During the consultation, targeted prevention messages will be provided based on identified exposures. The no intervention comparator will be a waiting-list control group. At the inclusion visit, patients will receive urine collection vials for samples to be collected at baseline and again at 3 months. Urine samples will be collected twice in a single day, on three separate days, during the collection week at home. In the week following the urine collection period, only participants in the intervention group will engage with the PREVENIR platforms. The primary outcome will be the difference in the urinary phenoxyacetic acid concentration between baseline and 3 months postintervention, compared between the intervention and control groups.
The study has been approved by the hospital ethics committee (CCP Ouest 2, no. 2023-A00941-44). All participants will provide written informed consent. Results will be shared through presentations and publications.
This study aims to identify the key factors driving excessive alcohol and salt consumption in Ghana, both of which are modifiable risk factors for diseases such as cardiovascular conditions and cancers. Using the socio-ecological model (SEM), we qualitatively examine stakeholder perspectives to gain a comprehensive understanding of the influences contributing to these unhealthy consumption patterns.
A qualitative study was conducted using semi-structured interviews. Transcripts were analysed thematically, with identified drivers mapped onto the corresponding levels of influence within the SEM.
The study included 21 purposively sampled stakeholders from government and academic institutions in Ghana, including policymakers, practitioners and researchers.
Drivers of excessive salt and alcohol consumption were identified across all five levels of the SEM. At the intrapersonal level, disregard for health risks was a key factor. Community-level drivers included easy access to unhealthy foods and cultural norms promoting alcohol use at social events and salt in traditional dishes. At the societal and policy levels, inadequate regulation of the alcohol and food industries was found to reinforce lower-level drivers, further encouraging unhealthy consumption.
This study highlights the multilevel influences on alcohol and salt consumption, emphasising the interactions across SEM levels. It highlights that addressing unhealthy consumption is not solely a matter of personal responsibility, demonstrating that societal and policy factors play a significant role in shaping health and dietary behaviours. The findings underscore the need for comprehensive public health strategies that address influences at multiple levels to effectively reduce excessive alcohol and salt intake.
To co-identify adaptations with key stakeholders needed to optimise elements of a video-based intervention (i.e., PREEMIE PROGRESS [PP]), which trains parents in evidence-based family management skills to care for their very preterm infant in the neonatal intensive care unit (NICU).
Descriptive qualitative study oriented with a pragmatic philosophy, informed by the reach, effectiveness, adoption, implementation, maintenance (RE-AIM) framework and the framework for reporting adaptations and modifications-expanded (FRAME).
Semistructured interviews to identify potential adaptations with key stakeholders: family management researchers (n = 5), clinicians (n = 9), technology experts (n = 5) and parents of preterm infants (n = 17). Weekly design team meetings to select and implement high-priority adaptations necessary for the next research phase. Monthly NICU parent partnership meetings to review adaptations and make recommendations for potential adaptations with conflicting data.
Stakeholders (N = 36) suggested 98 potential adaptations: 32 (33.0%) were completed, 8 (8.2%) were abandoned, 5 (5.2%) have work that is ongoing and 52 (53.6%) were tabled for future research phases. Content adaptations (70, 71.4%) were the most frequently suggested adaptation type. Potential adaptations mostly addressed RE-AIM dimensions of effectiveness (43, 43.9%), and implementation (46, 46.9%) and were directed at the parent (i.e., intervention recipient) level (79, 81.4%).
Use of the RE-AIM framework ensured we systematically identified needed adaptations with key stakeholders across a range of dimensions that would improve PP for parents now and in future phases of this research.
Co-identifying potential adaptations with key stakeholders, paired with FRAME documentation, can help nurses prioritise adaptations most appropriate for each phase of implementation.
Our paper highlights for nurse clinicians and researchers how FRAME documentation of potential adaptations can support stakeholder engagement and a systematic approach to incorporating adaptations throughout all phases of the research process, thereby shortening the evidence to practice gap.
COREQ guidelines for qualitative reporting.
The research team was supported by members of the NICU's Parent Partnership Council (PPC), whose mission is to promote family-centred care improvement projects and research within the NICU. This committee is comprised of nursing, physician, allied health leadership and parents of infants previously hospitalised in the NICU. The NICU PPC met monthly to review conflicting data on potential adaptations and provide recommendations on adaptation decisions.
Cytomegalovirus (CMV) infection is a common complication in patients undergoing haematopoietic stem cell transplantation (SCT). Letermovir (LTV) prophylaxis during the first 100 days post-SCT is effective and safe in preventing this infection, although it may be associated with a delay in CMV-specific immune reconstitution. Hence, a study is needed to evaluate whether the absence of CMV-specific immune reconstitution at the end of LTV prophylaxis is associated with the development of late infection. This could facilitate the individualisation of CMV prophylaxis duration in these patients.
INMUNOEND is a multicentre, prospective, observational, non-interventional study including CMV seropositive patients undergoing allo-SCT who receive LTV prophylaxis during the first 100 days post SCT. Immunological and virological monitoring will be conducted until day+200 post-SCT. The primary outcome is the percentage of patients who develop clinically significant CMV infection up to day+200 post-SCT after completing LTV prophylaxis. Data collected will include baseline characteristics of the haematological diseases and comorbidities, variables related to SCT (ie, engrafment, graft-versus-host disease, use of LTV and CMV replication) and variables related to CMV-specific immune reconstitution.
Ethical approval has been obtained from the institutional review board (Comité de Ética de la Investigación de Córdoba; SICEIA-2024–0 01 762). The results of this study will be published in peer-reviewed journals and disseminated at national and international conferences.
FreshRSS 