1,483 results match your criteria: "Usher Institute of Population Health Sciences and Informatics[Affiliation]"

Background: The 2018 Scottish GP contract established GP Clusters and multidisciplinary team (MDT) expansion. Qualitative studies have suggested sub-optimal progress.

Aim: To quantify progress since the introduction of the new contract.

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  • Quality improvement aims to enhance care and patient experience, particularly in palliative care, and can be guided by ethical frameworks and good clinical practices.
  • * Palliative care faces unique ethical challenges that can inform quality improvement strategies in other medical specialties, as highlighted by case studies like the Liverpool Care Pathway.
  • * Ethical quality improvement practices in palliative care emphasize informed consent, monitoring for vulnerability, and the significant value of time, insisting on beneficence and autonomy to safeguard patients.
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Background: Hypertension is a key risk factor for death and disability, and blood pressure reduction is associated with significant reductions in cardiovascular risk. Large trials have shown that interventions including self-monitoring of blood pressure can reduce blood pressure but real-world data from wider implementation are lacking.

Aim: The self-monitoring and management service evaluation in primary care (SHIP) study will evaluate a novel digital intervention for hypertension management and medication titration platform ("Hypertension-Plus") that is currently undergoing initial implementation into primary care in several parts of the UK.

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Optical coherence tomography in secondary progressive multiple sclerosis: cross-sectional and longitudinal exploratory analysis from the MS-SMART randomised controlled trial.

J Neurol Neurosurg Psychiatry

December 2024

Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.

Background: Optical coherence tomography (OCT) inner retinal metrics reflect neurodegeneration in multiple sclerosis (MS). We explored OCT measures as biomarkers of disease severity in secondary progressive MS (SPMS).

Methods: We investigated people with SPMS from the Multiple Sclerosis-Secondary Progressive Multi-Arm Randomisation Trial OCT substudy, analysing brain MRIs, clinical assessments and OCT at baseline and 96 weeks.

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Care home resident identification: A comparison of address matching methods with Natural Language Processing.

PLoS One

December 2024

Usher Institute of Population Health Sciences and Informatics, Advanced Care Research Centre, University of Edinburgh, Edinburgh, United Kingdom.

Background: Care home residents are a highly vulnerable group, but identifying care home residents in routine data is challenging. This study aimed to develop and validate Natural Language Processing (NLP) methods to identify care home residents from primary care address records.

Methods: The proposed system applies an NLP sequential filtering and preprocessing of text, then the calculation of similarity scores between general practice (GP) addresses and care home registered addresses.

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Introduction And Aim: Diabetes is a global health emergency with increasing prevalence and diabetes-associated morbidity and mortality. One of the challenges in optimising diabetes care is translating research advances in this heterogeneous disease into clinical care. A potential solution is the introduction of precision medicine approaches into diabetes care.

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There is increasing interest in the use of home-based monitoring in people with chronic lung diseases to improve access to care, support patient self-management, and facilitate the collection of information for clinical care and research. However, integration of home-based monitoring into clinical and research settings requires careful consideration of test performance and other attributes. There is no published guidance from professional respiratory societies to advance the science of home-based monitoring for chronic lung disease.

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  • Dilated cardiomyopathy (DCM) is a major cause of heart failure, and this study analyzes genetic factors by examining 14,256 DCM cases and 36,203 participants from the UK Biobank for related traits.
  • Researchers discovered 80 genomic risk loci and pinpointed 62 potential effector genes tied to DCM, including some linked to rare variants.
  • The study uses advanced transcriptomics to explore how cellular functions contribute to DCM, showing that polygenic scores can help predict the disease in the general population and emphasize the importance of genetic testing and development of precise treatments.
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Identified genetic loci for C-peptide and age at diagnosis (AAD) in individuals with type 1 diabetes (T1D) explain only a small proportion of their variation. Here, we aimed to perform large metagenome-wide association studies (GWAS) of C-peptide and AAD in T1D; and to identify the HLA allele/haplotypes associated with C-peptide and AAD. 7,252 and 7,923 European individuals with T1D were included in C-peptide and AAD GWAS, respectively.

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A self-efficacy enhancement alcohol reduction intervention for men on-remand in prison: the APPRAISE feasibility pilot RCT.

Public Health Res (Southampt)

November 2024

Centre for Crime, Harm Prevention and Security, School of Social Sciences, Humanities & Law, Teesside University, Middlesbrough, Tees Valley, UK.

Background: As many as 70% of remand prisoners have admitted to being under the influence of alcohol when committing the crime leading to their imprisonment. Providing support and advice regarding alcohol consumption can be effective in some groups of people. There is little evidence regarding this for men on remand in prison.

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Background: Inflammation promotes atherogenesis. Randomized controlled trials of anti-inflammatory therapies for prevention after stroke have not yet demonstrated clear benefit. IL-6 (interleukin-6) and hsCRP (high-sensitivity C-reactive protein) are independently associated with major adverse cardiovascular events poststroke and may guide patient selection in future randomized controlled trials.

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  • This systemic review examines strategies aimed at reducing hospital and emergency department length of stay (LOS) while analyzing their impact on readmissions and healthcare costs.
  • Eighteen studies were included, highlighting interventions like outpatient parenteral antibiotic therapy (OPAT) and 'hospital at home' programs, which showed potential for lower LOS and costs, though sometimes extended the total care duration.
  • Overall, the findings suggest that many reviewed interventions are cost-effective and safe for children, benefiting families without increasing the risk of negative outcomes compared to traditional hospital care.
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Introduction: A significant burden of unmet pediatric surgical disease exists in low- and middle-income countries. We sought to assess the associations between the installation of a pediatric operating room (OR) and clinical and economic outcomes for families with children in Ethiopia.

Methods: A retrospective cohort study was performed of children who underwent elective surgery in a tertiary-level Ethiopian public hospital, comparing patient outcomes before and after OR installation in August 2019.

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  • The Maduo Study investigated the impact of antenatal screening for STIs in pregnant women in Botswana, comparing intervention and standard care groups.
  • The study found a significant reduction in the prevalence of STIs post-delivery among women who received regular screening and treatment during pregnancy.
  • Results indicated that a substantial number of infants born to women with untreated infections still tested positive, highlighting the importance of antenatal STI screening to prevent vertical transmission.
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Background: A simple prognostic model was previously developed to predict the probability of recently-diagnosed patients reaching negative outcomes (postural instability, dementia or death) in a 5-year period.

Objectives: To validate this model in an independent cohort and establish utility at later time points.

Methods: Validation was performed using data collected in an incident cohort at baseline, 2 and 4 years.

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Vitamin D for the management of chronic obstructive pulmonary disease.

Cochrane Database Syst Rev

September 2024

Centre for Applied Respiratory Research Innovation and Implementation, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.

Background: COPD is a common, preventable and treatable airway disease, and is currently the third leading cause of death worldwide. About one billion people worldwide are estimated to have vitamin D deficiency or insufficiency. Vitamin D deficiency is common among people with COPD, and has been reported to be associated with reduced lung function and increased risk of acute exacerbations of COPD.

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  • The study aimed to create and validate a mortality risk prediction algorithm for pediatric surgery patients in 14 low- and middle-income countries using data from KidsOR sites.
  • Using a SuperLearner machine learning model, the algorithm successfully analyzed data from over 21,000 patients, achieving a post-operative mortality rate of 3.1% and demonstrating excellent predictive accuracy with a cross-validated AUC of 0.945.
  • The findings suggest that while the algorithm performs well across different sites, it may require re-calibration when used in new locations, potentially benefiting clinical practices and resource management in pediatric surgical care globally.
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  • Clinical genetic testing helps find cancer risks by identifying gene changes, but some of these changes are confusing because we don't know what they mean (called VUS).
  • Researchers studied a huge number of breast cancer patients and healthy people to understand these confusing gene changes better.
  • They found that their method of analyzing data closely matches what other experts say about which gene changes are harmless or harmful, giving more information about 785 unclear changes.
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Large-scale exome array summary statistics resources for glycemic traits to aid effector gene prioritization.

Wellcome Open Res

October 2023

MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.

Article Synopsis
  • Genome-wide association studies have found numerous genetic loci linked to glycemic traits, but connecting these loci to specific genes and biological pathways remains a challenge.
  • Researchers conducted meta-analyses of exome-array studies across four glycemic traits, analyzing data from over 144,000 participants, which led to the identification of coding variant associations in more than 60 genes.
  • The study revealed significant pathways related to insulin secretion, zinc transport, and fatty acid metabolism, enhancing understanding of glycemic regulation and making data available for further research.
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Impact of early childhood infection on child development and school performance: a population-based study.

J Epidemiol Community Health

December 2024

Child Population and Translational Health Research, Children's Hospital Westmead Clinical School, The University of Sydney, Sydney, New South Wales, Australia.

Background: Childhood infection might be associated with adverse child development and neurocognitive outcomes, but the results have been inconsistent.

Methods: Two population-based record-linkage cohorts of all singleton children born at term in New South Wales, Australia, from 2001 to 2014, were set up and followed up to 2019 for developmental outcome (N=276 454) and school performance (N=644 291). The primary outcome was developmentally high risk (DHR) at age 4-6 years and numeracy and reading below the national minimum standard at age 7-9 years.

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Laboratory practitioners working in oncology are increasingly involved in implementing genomic medicine, operating at the intersection of the laboratory and the clinic. This includes molecular diagnostic work and molecular testing to direct entry into molecular-based clinical trials and treatment decision-making based on molecular profiling. In this article, we draw on qualitative interviews with laboratory practitioners in the United Kingdom to explore the role of laboratory work in genomic cancer medicine, focusing on the handling of patient tissue and making of potentiality to guide patients' present and future care.

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Objectives: This project aims to determine the feasibility of predicting future critical care bed availability using data-driven computational forecast modelling and routinely collected hospital bed management data.

Methods: In this proof-of-concept, single-centre data informatics feasibility study, regression-based and classification data science techniques were applied retrospectively to prospectively collect routine hospital-wide bed management data to forecast critical care bed capacity. The availability of at least one critical care bed was forecasted using a forecast horizon of 1, 7 and 14 days in advance.

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  • D-dimer is the main biomarker recommended for diagnosing acute aortic syndrome (AAS), and this study aimed to explore other potential biomarkers.
  • The researchers conducted a systematic review of relevant studies, identifying a total of 13 cohort studies but noting variable quality and significant bias in most.
  • While some alternative biomarkers showed promise in sensitivity and specificity, overall findings were inconsistent, leading to the conclusion that these alternatives are not yet suitable for routine clinical use.
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Co-observation of germline pathogenic variants in breast cancer predisposition genes: Results from analysis of the BRIDGES sequencing dataset.

Am J Hum Genet

September 2024

Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia; Faculty of Medicine, The University of Queensland, Brisbane, QLD 4072, Australia. Electronic address:

Article Synopsis
  • * Analysis of data from over 55,000 breast cancer patients showed that co-observation of variants in BRCA1, BRCA2, and PALB2 with other breast cancer genes occurred less frequently than expected, suggesting a potential correlation with pathogenicity.
  • * The findings indicate that identifying a variant of uncertain significance alongside a known pathogenic variant supports evidence against the variant's pathogenicity, which could improve variant classification in clinical settings and for other genetic conditions.
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