Conectar
Characterised by chronic inflammation of the gastrointestinal tract, inflammatory bowel disease (IBD) symptoms including diarrhoea, abdominal pain and fatigue can significantly impact patient’s quality of life. Therapeutic developments in the last 20 years have revolutionised treatment. However, clinical trials and real-world data show primary non-response rates up to 40%. A significant challenge is an inability to predict which treatment will benefit individual patients.
Current understanding of IBD pathogenesis implicates complex interactions between host genetics and the gut microbiome. Most cohorts studying the gut microbiota to date have been underpowered, examined single treatments and produced heterogeneous results. Lack of cross-treatment comparisons and well-powered independent replication cohorts hampers the ability to infer real-world utility of predictive signatures.
IBD-RESPONSE will use multi-omic data to create a predictive tool for treatment response. Future patient benefit may include development of biomarker-based treatment stratification or manipulation of intestinal microbial targets. IBD-RESPONSE and downstream studies have the potential to improve quality of life, reduce patient risk and reduce expenditure on ineffective treatments.
This prospective, multicentre, observational study will identify and validate a predictive model for response to advanced IBD therapies, incorporating gut microbiome, metabolome, single-cell transcriptome, human genome, dietary and clinical data. 1325 participants commencing advanced therapies will be recruited from ~40 UK sites. Data will be collected at baseline, week 14 and week 54. The primary outcome is week 14 clinical response. Secondary outcomes include clinical remission, loss of response in week 14 responders, corticosteroid-free response/remission, time to treatment escalation and change in patient-reported outcome measures.
Ethical approval was obtained from the Wales Research Ethics Committee 5 (ref: 21/WA/0228). Recruitment is ongoing. Following study completion, results will be submitted for publication in peer-reviewed journals and presented at scientific meetings. Publications will be summarised at www.ibd-response.co.uk.
Childhood obesity is an escalating crisis in the United States. Health policy may impact this epidemic which disproportionally affects underserved populations.
The aim was to use the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework to assess health policy impact on preventing or treating school-aged children (5 > 18 years) with obesity in underserved populations.
A scoping review of 842 articles was conducted. Twenty-four articles met the inclusion criteria and underwent data extraction.
Twelve studies included subgroup analysis, with four suggesting an impact of policy on at-risk groups. None of the 24 studies fully applied the RE-AIM framework. Policies positively impacted childhood obesity in 12 studies across the sample.
Our review revealed inconsistent evidence for the effectiveness of policy on childhood obesity, perhaps due to the lack of focus on the social determinants of health. In addition, many studies did not evaluate the outcomes for underserved populations. Therefore, we propose more attention to social determinants in future legislation and evaluation of policy effectiveness on underserved populations. Findings identify an urgent need for the design, implementation, and evaluation of policies specifically directed to address the inequities of racism, social injustices, and social determinants of health that impact childhood obesity in the United States. Future work needs to identify who was reached by the policy, who benefitted from the policy, and how policies were implemented to address obesity-related health disparities. Nurses should advocate for the evaluation of childhood obesity policies, particularly in underserved populations, to determine effectiveness. Nurses, particularly those trained in population and community health and research, should advocate for policy research that considers inequities rather than controls for these variables. Multi-layered interventions can then be tailored to sub-populations and evaluated more effectively.
Japanese encephalitis virus (JEV) is a mosquito-borne flavivirus that causes encephalitis and other morbidity in Southeast Asia. Since February 2022, geographically dispersed JEV human, animal and vector detections occurred on the Australian mainland for the first time. This study will determine the prevalence of JEV-specific antibodies in human blood with a focus on populations at high risk of JEV exposure and determine risk factors associated with JEV seropositivity by location, age, occupation and other factors.
Samples are collected using two approaches: from routine blood donors (4153 samples), and active collections targeting high-risk populations (convenience sampling). Consent-based sampling for the latter includes a participant questionnaire on demographic, vaccination and exposure data. Samples are tested for JEV-specific total antibody using a defined epitope-blocking ELISA, and total antibody to Australian endemic flaviviruses Murray Valley encephalitis and Kunjin viruses.
Two analytic approaches will occur: descriptive estimates of seroprevalence and multivariable logistic regression using Bayesian hierarchical models. Descriptive analyses will include unadjusted analysis of raw data with exclusions for JEV-endemic country of birth, travel to JEV-endemic countries, prior JEV-vaccination, and sex-standardised and age-standardised analyses. Multivariable logistic regression will determine which risk factors are associated with JEV seropositivity likely due to recent transmission within Australia and the relative contribution of each factor when accounting for effects within the model.
National Mutual Acceptance ethical approval was obtained from the Sydney Children’s Hospitals Network Human Research Ethics Committee (HREC). Local approvals were sought in each jurisdiction. Ethical approval was also obtained from the Australian Red Cross Lifeblood HREC.
Findings will be communicated to participants and their communities, and human and animal health stakeholders and policy-makers iteratively and after final analyses. Understanding human infection rates will inform procurement and targeted allocation of limited JEV vaccine, and public health strategies and communication campaigns, to at-risk populations.
FreshRSS 