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Crimean-Congo hemorrhagic fever virus (CCHFV) is a tick-borne virus capable of causing a severe hemorrhagic fever disease in humans. There are currently no licensed vaccines to prevent CCHFV-associated disease. We developed a DNA vaccine expressing the M-segment glycoprotein precursor gene of CCHFV and assessed its immunogenicity and protective efficacy in two lethal mouse models of disease: type I interferon receptor knockout (IFNAR-/-) mice; and a novel transiently immune suppressed (IS) mouse model. Vaccination of mice by muscle electroporation of the M-segment DNA vaccine elicited strong antigen-specific humoral immune responses with neutralizing titers after three vaccinations in both IFNAR-/- and IS mouse models. To compare the protective efficacy of the vaccine in the two models, groups of vaccinated mice (7-10 per group) were intraperitoneally (IP) challenged with a lethal dose of CCHFV strain IbAr 10200. Weight loss was markedly reduced in CCHFV DNA-vaccinated mice as compared to controls. Furthermore, whereas all vector-control vaccinated mice succumbed to disease by day 5, the DNA vaccine protected >60% of the animals from lethal disease. Mice from both models developed comparable levels of antibodies, but the IS mice had a more balanced Th1/Th2 response to vaccination. There were no statistical differences in the protective efficacies of the vaccine in the two models. Our results provide the first comparison of these two mouse models for assessing a vaccine against CCHFV and offer supportive data indicating that a DNA vaccine expressing the glycoprotein genes of CCHFV elicits protective immunity against CCHFV.

Advancing interventions to tackle the huge global burden of hepatitis B virus (HBV) infection depends on improved insights into virus epidemiology, transmission, within-host diversity, drug resistance and pathogenesis, all of which can be advanced through the large-scale generation of full-length virus genome data. Here we describe advances to a protocol that exploits the circular HBV genome structure, using isothermal rolling-circle amplification to enrich HBV DNA, generating concatemeric amplicons containing multiple successive copies of the same genome. We show that this product is suitable for Nanopore sequencing as single reads, as well as for generating short-read Illumina sequences. Nanopore reads can be used to implement a straightforward method for error correction that reduces the per-read error rate, by comparing multiple genome copies combined into a single concatemer and by analysing reads generated from plus and minus strands. With this approach, we can achieve an improved consensus sequencing accuracy of 99.7% and resolve intra-sample sequence variants to form whole-genome haplotypes. Thus while Illumina sequencing may still be the most accurate way to capture within-sample diversity, Nanopore data can contribute to an understanding of linkage between polymorphisms within individual virions. The combination of isothermal amplification and Nanopore sequencing also offers appealing potential to develop point-of-care tests for HBV, and for other viruses.

Combining genetic and cell-type-specific proteomic datasets can generate biological insights and therapeutic hypotheses, but a technical and statistical framework for such analyses is lacking. Here, we present an open-source computational tool called Genoppi (lagelab.org/genoppi) that enables robust, standardized, and intuitive integration of quantitative proteomic results with genetic data. We use Genoppi to analyze 16 cell-type-specific protein interaction datasets of four proteins (BCL2, TDP-43, MDM2, PTEN) involved in cancer and neurological disease. Through systematic quality control of the data and integration with published protein interactions, we show a general pattern of both cell-type-independent and cell-type-specific interactions across three cancer cell types and one human iPSC-derived neuronal cell type. Furthermore, through the integration of proteomic and genetic datasets in Genoppi, our results suggest that the neuron-specific interactions of these proteins are mediating their genetic involvement in neurodegenerative diseases. Importantly, our analyses suggest that human iPSC-derived neurons are a relevant model system for studying the involvement of BCL2 and TDP-43 in amyotrophic lateral sclerosis. Genetic variation can impact protein complexes and interaction networks, but reconciling genetic and proteomic information remains challenging. To address this need, the authors develop Genoppi —a computational tool for integrating genetics and cell-type-specific proteomics data.

ImportanceIntensive lifestyle change (e.g., the Diabetes Prevention Program) and metformin reduce type 2 diabetes risk among patients with prediabetes. However, real-world uptake remains low. Shared decision-making (SDM) may increase awareness and help patients select and follow through with informed options for diabetes prevention that are aligned with their preferences.ObjectiveTo test the effectiveness of a prediabetes SDM intervention.DesignCluster randomized controlled trial.SettingTwenty primary care clinics within a large regional health system.ParticipantsOverweight/obese adults with prediabetes (BMI ≥ 24 kg/m2 and HbA1c 5.7–6.4%) were enrolled from 10 SDM intervention clinics. Propensity score matching was used to identify control patients from 10 usual care clinics.InterventionIntervention clinic patients were invited to participate in a face-to-face SDM visit with a pharmacist who used a decision aid (DA) to describe prediabetes and four possible options for diabetes prevention: DPP, DPP ± metformin, metformin only, or usual care.Main Outcomes and MeasuresPrimary endpoint was uptake of DPP (≥ 9 sessions), metformin, or both strategies at 4 months. Secondary endpoint was weight change (lbs.) at 12 months.ResultsUptake of DPP and/or metformin was higher among SDM participants (n = 351) than controls receiving usual care (n = 1028; 38% vs. 2%, p < .001). At 12-month follow-up, adjusted weight loss (lbs.) was greater among SDM participants than controls (− 5.3 vs. − 0.2, p < .001).LimitationsAbsence of DPP supplier participation data for matched patients in usual care clinics.Conclusions and RelevanceA prediabetes SDM intervention led by pharmacists increased patient engagement in evidence-based options for diabetes prevention and was associated with significantly greater uptake of DPP and/or metformin at 4 months and weight loss at 12 months. Prediabetes SDM may be a promising approach to enhance prevention efforts among patients at increased risk.Trial RegistrationThis study was registered at clinicaltrails.gov (NCT02384109)).

Background Understanding why people take part in health research is critical to improve research efficiency and generalisability. The aim of this overview of systematic reviews was to identify psychosocial determinants of research participation and map them to psychological theory and empirical recruitment research, to identify effective strategies to increase research participation. Methods Qualitative and quantitative systematic reviews were systematically identified. No date or language limits were applied. Two reviewers independently selected reviews. Methodological quality was rated using AMSTAR, and poor-quality reviews (scoring 0–3) were excluded. Barriers and facilitators were coded to psychological theory (Theoretical Domains Framework) and empirical recruitment research (recruitment interventions that had been subjected to randomised controlled trial evaluation). Results We included 26 systematic reviews (429 unique primary studies), covering a wide range of patient populations and health settings. We identified five groups of facilitators, of which three were dominant (potential for personal benefit, altruism, trust) and appear to be relevant across research setting and design. We identified nine groups of barriers, which were more dependent on the particular study (context, population, design). Two determinants (participant information, social influences) were found to be both barriers and facilitators. Barriers and facilitators could be coded to the Motivation and Opportunity components of the Theoretical Domains Framework; only one was coded to a Capability component. There was some overlap between psychosocial determinants and empirical recruitment research, but some barriers and facilitators had not been tested at all. Conclusions Identifying effective recruitment strategies could increase the efficiency and generalisability of primary research. We identified a number of barriers and facilitators that could be addressed by researchers. There is a need for more research to identify effective recruitment strategies that draw on the psychosocial facilitators and barriers identified in this overview.

•Low target trough attainment following a vancomycin loading dose in hemodialysis.•Vancomycin dosing interval affects therapeutic target attainment.•Vancomycin maintenance dose adjustment should consider previous dose and interval.•A weight-based loading dose is more likely to achieve a therapeutic trough. To determine the incidence of therapeutic target attainment using a three-times per week protocol for vancomycin therapy given during the last hour of intermittent hemodialysis (HD). A single-center retrospective cohort study was conducted of patient medical records in a remote dialysis center from January 2017 to July 2023. Adult patients with chronic kidney disease stage 5 on ≥3 months of intermittent HD who had received a course of vancomycin therapy with ≥1 serum vancomycin concentration recorded were included. Demographic and dosing data were collected. Clinician adherence with the dosing protocol and attainment of the therapeutic target (trough concentration within 15–20 mg/L) following the loading and maintenance doses were assessed. Factors associated with target nonattainment following the loading dose were analyzed, and the 48- and 72-h maintenance dosing intervals were analyzed for target nonattainment. A total of 98 vancomycin courses (67 patients) were available for analysis. Only 38% of the loading doses were prescribed as per protocol. Following the loading dose, 25% of trough concentrations achieved the therapeutic target concentration (15–20 mg/L), 25% returned a supra-therapeutic concentration (>20 mg/L) and 50% were sub-therapeutic (<15 mg/L). When compared with those achieving target, sub-therapeutic concentrations were associated with a lower loading dose (median 16.6 vs 20.0 mg/kg, P < 0.002), and supra-therapeutic concentrations had a shorter dosing interval between the loading dose and first maintenance dose (median 31.5 vs 39.0 h, P = 0.06). Of the 201 maintenance trough concentrations collected, 65% were therapeutic, 21% were sub-therapeutic and 14% were supra-therapeutic, with an overall median trough concentration of 17.3 mg/L. As the treatment duration increased, an increase was seen in the number of dose adjustments required to achieve the target trough concentration. The 48-h dosing interval was associated with more supra-therapeutic concentrations and the 72-h interval was associated with more sub-therapeutic concentrations (df = 2, P = 0.022). We have identified a high rate of target nonattainment for HD patients on a three times a week vancomycin dosing regimen. We recommend a loading dose of 20 to 25 mg/kg irrespective of the indication and a better-defined dosing interval after the loading dose. A higher maintenance dose should be prescribed when the time to next dialysis session is 72 h. Further pharmacokinetic studies are needed to assess factors influencing target concentration attainment following the maintenance doses and to determine an optimal dosing regimen. [Display omitted]

ObjectivesTo determine cannabis use patterns, the predictive sociodemographic correlates of driving under the influence of cannabis (DUIC) and the association between risk perception and cannabis dependence among vehicle drivers in Jamaica.DesignSecondary data analysis.SettingUsed the Jamaica National Drug Prevalence Survey 2016 dataset.Participants1060 vehicle drivers extracted from the population sample of 4623.Primary and secondary outcome measuresAnalysis used Pearson’s χ2 test and logistic regression. ORs and 95% CIs were recorded. A p<0.05 was considered statistically significant.ResultsMore than 10% of Jamaican drivers admitted to DUIC in the past year. Approximately 43.3% of drivers who currently use cannabis reported DUIC only. Evidently, 86.8% of drivers who DUIC were heavy cannabis users. Approximately 30% of drivers with moderate to high-risk perception of smoking cannabis sometimes or often were dependent on cannabis. Notwithstanding, drivers with no to low-risk perception of smoking cannabis sometimes or often were significantly likelier to be dependent (p<0.001 and p<0.001, respectively). Logistic regression highlighted male drivers (OR 4.14, 95% CI 1.59 to 14.20, p=0.009) that were 34 years and under (OR 2.97, 95% CI 1.71 to 5.29, p<0.001) and were the head of the household (OR 2.22, 95% CI 1.10 to 4.75, p=0.031) and operated a machine as part of their job (OR 1.87, 95% CI 1.09 to 3.24, p=0.023) were more likely to DUIC, while those who were married (OR 0.42, 95% CI 0.22 to 0.74, p=0.004) and had achieved a tertiary-level education (OR 0.26, 95% CI 0.06 to 0.76, p=0.031) were less likely.ConclusionsTwo in five Jamaican drivers, who currently smoke cannabis, drive under its influence, with over 85% engaging in heavy use. Public health implications necessitate policy-makers consider mobile roadside drug testing and amending drug-driving laws to meet international standards.

Purpose To address the gap in evidence‐based information required to support the development of advanced practice nursing (APN) roles in Switzerland, stakeholders identified the need for guidance to generate strategic evaluation data. This article describes an evaluation framework developed to inform decisions about the effective utilization of APN roles across the country. Approach A participatory approach was used by an international group of stakeholders. Published literature and an evidenced‐based framework for introducing APN roles were analyzed and applied to define the purpose, target audiences, and essential elements of the evaluation framework. Through subsequent meetings and review by an expert panel, the framework was developed and refined. Findings A framework to evaluate different types of APN roles as they evolve to meet dynamic population health, practice setting, and health system needs was created. It includes a matrix of key concepts to guide evaluations across three stages of APN role development: introduction, implementation, and long‐term sustainability. For each stage, evaluation objectives and questions examining APN role structures, processes, and outcomes from different perspectives (e.g., patients, providers, managers, policy‐makers) were identified. Conclusions A practical, robust framework based on well‐established evaluation concepts and current understanding of APN roles can be used to conduct systematic evaluations. Clinical Relevance The evaluation framework is sufficiently generic to allow application in developed countries globally, both for evaluation as well as research purposes.

BackgroundWhile almost half of older adults admitted to hospital are prescribed potentially inappropriate medicines, less than 1% have a medicine proactively deprescribed during admission in the UK. The CompreHensive geriAtRician-led MEdication Review (CHARMER) intervention is designed to address geriatricians’ and pharmacists’ barriers and enablers to deprescribing. The CHARMER definitive trial will evaluate effectiveness, cost-effectiveness and safety.MethodsA stepped-wedge cluster randomised controlled trial will be conducted in 20 hospitals in England, with four hospitals in reserve. All hospitals will collect baseline data. Every 3 months, five hospitals will be randomised to receive the intervention. The intervention, implemented by a local project manager, comprises a hospital action plan to set deprescribing as an organisational goal; workshops for pharmacists and geriatricians to change beliefs about deprescribing; weekly briefings between geriatricians and pharmacists to discuss opportunities for deprescribing; benchmarking reports to compare deprescribing performance across participating hospitals. With an average of 200 patients admitted and discharged during each step, the study will have 89.5% power at 5% significance level and intra-class correlation coefficient of 0.05 to detect a 3% difference in 90-day re-admission rate from 16.7% versus 13.7%. Anonymised routinely collected data, including readmissions, will be obtained for all patients admitted during the study period. Enhanced data collection periods of 1 month during control and intervention periods will be used to recruit patients and data for secondary outcomes and process evaluation.DiscussionA stepped-wedge design enabled a smaller number of hospitals and patients to be included than a traditional cluster-randomised design. The complexity of intervention implementation necessitated a project manager in addition to the principal investigator responsible for trial conduct. Using routinely collected data for the primary outcome measure should ensure that the trial has sufficient power on completion. Planned enhanced data collection for short periods of time improves trial efficiency.Trial registration numberISRCTN13248281.