352 results match your criteria: "Farr Institute of Health Informatics Research[Affiliation]"
J Biomed Inform
November 2017
School of Computer Science, University of Manchester, Manchester, UK; Health eResearch Centre, The Farr Institute of Health Informatics Research, UK; Manchester Institute of Biotechnology, Manchester, UK; Mathematical Institute, SANU, Serbia. Electronic address:
De-identification of clinical narratives is one of the main obstacles to making healthcare free text available for research. In this paper we describe our experience in expanding and tailoring two existing tools as part of the 2016 CEGS N-GRID Shared Tasks Track 1, which evaluated de-identification methods on a set of psychiatric evaluation notes for up to 25 different types of Protected Health Information (PHI). The methods we used rely on machine learning on either a large or small feature space, with additional strategies, including two-pass tagging and multi-class models, which both proved to be beneficial.
View Article and Find Full Text PDFPLoS One
September 2017
The Farr Institute of Health Informatics Research and the National Institute for Health Research, Biomedical Research Centre, University College London, London, United Kingdom.
Background: While the association of ethnic group with individual cardiovascular diseases has been studied, little is known about ethnic differences in the initial lifetime presentation of clinical cardiovascular disease in contemporary populations.
Methods And Results: We studied 1,068,318 people, aged ≥30 years and free from diagnosed CVD at baseline (90.9% White, 3.
Eur J Epidemiol
October 2017
Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Interactions between environment and genetics may contribute to multiple sclerosis (MS) development. We investigated whether the previously observed interaction between smoking and HLA genotype in the Swedish population could be replicated, refined and extended to include other populations. We used six independent case-control studies from five different countries (Sweden, Denmark, Norway, Serbia, United States).
View Article and Find Full Text PDFJ Geriatr Cardiol
March 2017
Department of Cardiology, European Georges-Pompidou Hospital, Paris, France.
Atrial fibrillation (AF) is the most common arrhythmia diagnosed in clinical practice. The consequences of AF have been clearly established in multiple large observational cohort studies and include increased stroke and systemic embolism rates if no oral anticoagulation is prescribed, with increased morbidity and mortality. With the worldwide aging of the population characterized by a large influx of "baby boomers" with or without risk factors for developing AF, an epidemic is forecasted within the next 10 to 20 years.
View Article and Find Full Text PDFPLoS One
September 2017
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Background: Modeling trajectories of decline can help describe the variability in progression of cognitive impairment in dementia. Better characterisation of these trajectories has significant implications for understanding disease progression, trial design and care planning.
Methods: Patients with at least three Mini-mental State Examination (MMSE) scores recorded in the South London and Maudsley NHS Foundation Trust Electronic Health Records, UK were selected (N = 3441) to form a retrospective cohort.
Maturitas
November 2017
Department of Cardiology, Division of Heart and Lungs, University Medical Centre Utrecht, Utrecht, The Netherlands. Electronic address:
The number of cancer survivors has tremendously increased over the past decades as a result of aging of the population and improvements in early cancer detection and treatment. Ongoing successes in cancer treatment are expected to result in a further increase in the number of long-term survivors. However, cancer treatment can have detrimental cardiovascular side-effects that impact morbidity and mortality, reducing quality of life in cancer survivors.
View Article and Find Full Text PDFInt Health
May 2017
Paediatric Infectious Disease Research Group, Department of Infection and Immunity, St George's University of London, Jenner wing, London, UK.
Neonatal infections affect about 7 million neonates causing over 600 000 deaths every year. Estimating the burden is challenging as there are multiple reporting criteria and definitions for serious bacterial infections in neonates. Essential criteria for reporting serious neonatal bacterial infections have recently been published as the STROBE-NI checklist and, in the context of maternal vaccination, definitions have been published by the Brighton Collaboration Global Alignment of Immunization safety Assessment in pregnancy (GAIA) project.
View Article and Find Full Text PDFJ Am Coll Cardiol
June 2017
Medical Research Council Bioinformatics Centre, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom; Department of Cardiology, York Teaching Hospital NHS Foundation Trust, York, United Kingdom. Electronic address:
Background: For acute myocardial infarction (AMI) without heart failure (HF), it is unclear if β-blockers are associated with reduced mortality.
Objectives: The goal of this study was to determine the association between β-blocker use and mortality in patients with AMI without HF or left ventricular systolic dysfunction (LVSD).
Methods: This cohort study used national English and Welsh registry data from the Myocardial Ischaemia National Audit Project.
BioData Min
May 2017
Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.
Background: Genetic studies for complex diseases have predominantly discovered main effects at individual loci, but have not focused on genomic and environmental contexts important for a phenotype. Gene Set Enrichment Analysis (GSEA) aims to address this by identifying sets of genes or biological pathways contributing to a phenotype, through gene-gene interactions or other mechanisms, which are not the focus of conventional association methods.
Results: Approaches that utilize GSEA can now take input from array chips, either gene-centric or genome-wide, but are highly sensitive to study design, SNP selection and pruning strategies, SNP-to-gene mapping, and pathway definitions.
BMJ Open
May 2017
Telethon Kids Institute, University of Western Australia, Perth, Australia.
Background: Alcohol-related harm in young people is now a global health priority. We examined trends in hospital admissions for alcohol-related injuries for adolescents in Western Australia (WA) and in England, identified groups most at risk and determined causes of injuries.
Methods: Annual incidence rates for alcohol-related injury rates were calculated using population-level hospital admissions data for WA and England.
Eur J Epidemiol
May 2017
Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine (MDC), Robert-Rössle-Straße 10, 13125, Berlin, Germany.
Higher levels of circulating adiponectin have been related to lower risk of colorectal cancer in several prospective cohort studies, but it remains unclear whether this association may be causal. We aimed to improve causal inference in a Mendelian Randomization meta-analysis using nested case-control studies of the European Prospective Investigation into Cancer and Nutrition (EPIC, 623 cases, 623 matched controls), the Health Professionals Follow-up Study (HPFS, 231 cases, 230 controls) and the Nurses' Health Study (NHS, 399 cases, 774 controls) with available data on pre-diagnostic adiponectin concentrations and selected single nucleotide polymorphisms in the ADIPOQ gene. We created an ADIPOQ allele score that explained approximately 3% of the interindividual variation in adiponectin concentrations.
View Article and Find Full Text PDFCirculation
June 2017
From Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, United Kingdom (C.E.D., G.F., D.P.-M., A.D.H., J.P.C.); Department of Mathematics and Statistics, Lancaster University, United Kingdom (T.M.P.); UCLGenetics Institute, University College London, United Kingdom (J.W.); Applied Statistical Methods in Medical Research Group, Universidad Catolica de San Antonio de Murcia, Spain (D.P.-M.); Social Genetic & Developmental Psychiatry, King's College London, United Kingdom (D.Z.); Institute of Cardiovascular Science, University College London, United Kingdom (J.E.L.E., T.S., A.D.H., S.E.H.); MRC Unit for Lifelong Health & Ageing at UCL, London, United Kingdom (A.W., D.K.); Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (H.R.W., M.J.C., P.B.M.); NIHR Barts Cardiovascular Biomedical Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (H.R.W., M.J.C., P.B.M.); Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, United Kingdom (S.M., J.F.P.); Department of Cardiology, Leiden University Medical Center, The Netherlands (S.T., W.J.); South Australian Health and Medical Research Institute, Adelaide (M.M., E.H.); EMBL Australia, Adelaide (M.M.); School of Social and Community Medicine, University of Bristol, United Kingdom (R.W.M., T.R.G., Y.B.-S., D.A.L., G.D.S.); Centre for Clinical Pharmacology, University College London, United Kingdom (R.S.); Institute for Social and Economic Research, University of Essex, Colchester, United Kingdom (M.K.); Centre for Population Health Research, School of Health Sciences and Sansom Institute, University of South Australia, Adelaide (E.H., A.Z.); Population, Policy & Practice, UCL Great Ormond Street Institute of Child Health, London, United Kingdom (E.H., C.P.); Department of Primary Care & Population Health, University College London, Royal Free Campus, United Kingdom (B.J.J.); MRC Integrative Epidemiology Unit, University of Bristol, United Kingdom (T.R.G., D.A.L., G.D.S.); Department of Women's Cancer, Institute for Women's Health, UCL, London, United Kingdom (A.G.-M., A.R., U.M.); Department of Clinical Epidemiology, Leiden University Medical Center, The Netherlands (R.d.M., D.O.M.-K.); Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Medical Center, The Netherlands (R.N., S.T.); Interuniversity Cardiology Institute Netherlands, Utrecht (W.J.); Departments of Neurology and Public Health Sciences, University of Virginia, Charlottesville (B.B.W.); Department of Public Health and Primary Care, Leiden University Medical Center, The Netherlands (D.O.M.-K.); BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, United Kingdom (N.S.); Department of Epidemiology and Public Health, University College London, United Kingdom (M.K.); Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, United Kingdom (F.D.); Department of Health Sciences, University of Leicester, United Kingdom (F.D.); Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, Big Data Institute Building, University of Oxford, United Kingdom (M.V.H.); Medical Research Council Population Health Research Unit at the University of Oxford, United Kingdom (M.V.H.); and National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals, United Kingdom (M.V.H.).
Background: The implications of different adiposity measures on cardiovascular disease etiology remain unclear. In this article, we quantify and contrast causal associations of central adiposity (waist-to-hip ratio adjusted for body mass index [WHRadjBMI]) and general adiposity (body mass index [BMI]) with cardiometabolic disease.
Methods: Ninety-seven independent single-nucleotide polymorphisms for BMI and 49 single-nucleotide polymorphisms for WHRadjBMI were used to conduct Mendelian randomization analyses in 14 prospective studies supplemented with coronary heart disease (CHD) data from CARDIoGRAMplusC4D (Coronary Artery Disease Genome-wide Replication and Meta-analysis [CARDIoGRAM] plus The Coronary Artery Disease [C4D] Genetics; combined total 66 842 cases), stroke from METASTROKE (12 389 ischemic stroke cases), type 2 diabetes mellitus from DIAGRAM (Diabetes Genetics Replication and Meta-analysis; 34 840 cases), and lipids from GLGC (Global Lipids Genetic Consortium; 213 500 participants) consortia.
Lancet
July 2017
Data Analytics, The Health Foundation, London, UK.
Indian Heart J
February 2018
University of Birmingham Centre for Cardiovascular Sciences, Birmingham, United Kingdom; Farr Institute of Health Informatics Research, University College London, London, United Kingdom. Electronic address:
Background: India's southern state of Kerala stands at the forefront of India's epidemic of cardiovascular disease (CVD), among other non-communicable diseases (NCDs). Mobile phone use in healthcare (mHealth) has shown promise in India, including NCDs. However, suitability and acceptability of m-Health interventions is poorly researched, particularly in rural settings.
View Article and Find Full Text PDFDis Markers
March 2018
Institute of Cardiovascular Science, University College London, London, UK.
. The coronary heart disease (CHD) risk locus on 21q22 (lead SNP rs9982601) lies within a "gene desert." The aim of this study was to assess if this locus is associated with CHD risk factors and to identify the functional variant(s) and gene(s) involved.
View Article and Find Full Text PDFCochrane Database Syst Rev
April 2017
Department of Population Health, London School of Hygiene & Tropical Medicine, Room 134b Keppel Street, London, UK, WC1E 7HT.
Background: Worldwide at least 100 million people are thought to have prevalent cardiovascular disease (CVD). This population has a five times greater chance of suffering a recurrent cardiovascular event than people without known CVD. Secondary CVD prevention is defined as action aimed to reduce the probability of recurrence of such events.
View Article and Find Full Text PDFCochrane Database Syst Rev
April 2017
Farr Institute of Health Informatics Research, University College London, 222 Euston Road, London, UK, NW1 2DA.
Background: Despite the availability of effective drug therapies that reduce low-density lipoprotein (LDL)-cholesterol (LDL-C), cardiovascular disease (CVD) remains an important cause of mortality and morbidity. Therefore, additional LDL-C reduction may be warranted, especially for patients who are unresponsive to, or unable to take, existing LDL-C-reducing therapies. By inhibiting the proprotein convertase subtilisin/kexin type 9 (PCSK9) enzyme, monoclonal antibodies (PCSK9 inhibitors) may further reduce LDL-C, potentially reducing CVD risk as well.
View Article and Find Full Text PDFInt J Health Geogr
April 2017
UCL Department of Infectious Disease Informatics, Farr Institute of Health Informatics Research, University College London, London, UK.
Background: In an era of budget constraints for healthcare services, strategies for provision of services that improve quality whilst saving costs are highly valued. A proposed means to achieve this is consolidation of services into fewer specialist centres, but this may lead to reduced spatial accessibility. We describe a methodology which includes implementing a combinatorial optimisation algorithm to derive combinations of services which optimise spatial accessibility in the context of service rationalisation, and demonstrate its use through the exemplar of tuberculosis clinics in London.
View Article and Find Full Text PDFStud Health Technol Inform
April 2018
Dept. of Medical Informatics, Academic Medical Center, University of Amsterdam, The Netherlands.
Audit and feedback (A&F) is a common strategy to improve quality of care. Meta-analyses have indicated that A&F may be more effective in realizing desired change when baseline performance is low, it is delivered by a supervisor or colleague, it is provided frequently and in a timely manner, it is delivered in both verbal and written formats, and it includes specific targets and an action plan. However, there is little information to guide operationalization of these factors.
View Article and Find Full Text PDFStud Health Technol Inform
October 2017
Farr Institute of Health Informatics Research, Swansea University Medical School, Swansea, SA2 8PP, UK.
To identify differentially expressed genes (DEGs) in analysis of microarray data, a majority of existing filter methods rank gene individually. Such a paradigm could overlook the genes with trivial individual discriminant powers but significant powers of discrimination in their combinations. This paper proposed an impurity metric in which the number of split intervals for each feature is considered as a parameter to be optimized for gaining maximal discrimination.
View Article and Find Full Text PDFEur J Epidemiol
May 2017
Hellenic Health Foundation, 13 Kaisareias and Alexandoupoleos Street, 115 27, Athens, Greece.
The positive association of adult height with breast cancer (BC) risk has been hypothesized to be partly accounted for by an association of this risk with maternal height (operating in utero to modify hormone effects). In a case-control study (271 BC patients and 791 controls) nested within the EPIC-Greece cohort, we applied mediation analysis to calculate the direct and indirect (through the woman's own height) effect of maternal height on BC risk. Per 5 cm increase in maternal height and depending on its reference value: the indirect effect odds ratio ranges from 1.
View Article and Find Full Text PDFThe burden of premature death and health loss from ESRD is well described. Less is known regarding the burden of cardiovascular disease attributable to reduced GFR. We estimated the prevalence of reduced GFR categories 3, 4, and 5 (not on RRT) for 188 countries at six time points from 1990 to 2013.
View Article and Find Full Text PDFLancet Gastroenterol Hepatol
March 2017
Experimental Hepatology, Institute of Liver Disease and Digestive Health, University College London, London WC1E 6J, UK. Electronic address:
BMC Med
April 2017
Institute of Health and Wellbeing, University of Glasgow, Glasgow, Scotland, UK.
Background: The inverse equity hypothesis asserts that new health policies initially widen inequality, then attenuate inequalities over time. Since 2004, the UK's pay-for-performance scheme for chronic disease management (CDM) in primary care general practices (the Quality and Outcomes Framework) has permitted practices to except (exclude) patients from attending annual CDM reviews, without financial penalty. Informed dissent (ID) is one component of exception rates, applied to patients who have not attended due to refusal or non-response to invitations.
View Article and Find Full Text PDFCochrane Database Syst Rev
April 2017
Institute of Health Research, University of Exeter Medical School, Veysey Building, Salmon Pool Lane, Exeter, UK, EX2 4SG.
Background: Heart transplantation is considered to be the gold standard treatment for selected patients with end-stage heart disease when medical therapy has been unable to halt progression of the underlying pathology. Evidence suggests that aerobic exercise training may be effective in reversing the pathophysiological consequences associated with cardiac denervation and prevent immunosuppression-induced adverse effects in heart transplant recipients.
Objectives: To determine the effectiveness and safety of exercise-based rehabilitation on the mortality, hospital admissions, adverse events, exercise capacity, health-related quality of life, return to work and costs for people after heart transplantation.