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Winsper C, Bhattacharya R, Bhui K, Currie G, Edge D, Ellard D, Franklin D, Gill P, Gilbert S, Khan N, Miller R, Motala Z, Pinfold V, Sandhu H, Singh SP, Weich S, Giacco D. The impact of reduced routine community mental healthcare on people from minority ethnic groups during the COVID-19 pandemic: qualitative study of stakeholder perspectives. Br J Psychiatry 2024; 224:150-156. [PMID: 38344814 DOI: 10.1192/bjp.2024.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/25/2024]
Abstract
BACKGROUND Enduring ethnic inequalities exist in mental healthcare. The COVID-19 pandemic has widened these. AIMS To explore stakeholder perspectives on how the COVID-19 pandemic has increased ethnic inequalities in mental healthcare. METHOD A qualitative interview study of four areas in England with 34 patients, 15 carers and 39 mental health professionals from National Health Service (NHS) and community organisations (July 2021 to July 2022). Framework analysis was used to develop a logic model of inter-relationships between pre-pandemic barriers and COVID-19 impacts. RESULTS Impacts were largely similar across sites, with some small variations (e.g. positive service impacts of higher ethnic diversity in area 2). Pre-pandemic barriers at individual level included mistrust and thus avoidance of services and at a service level included the dominance of a monocultural model, leading to poor communication, disengagement and alienation. During the pandemic remote service delivery, closure of community organisations and media scapegoating exacerbated existing barriers by worsening alienation and communication barriers, fuelling prejudice and division, and increasing mistrust in services. Some minority ethnic patients reported positive developments, experiencing empowerment through self-determination and creative activities. CONCLUSIONS During the COVID-19 pandemic some patients showed resilience and developed adaptations that could be nurtured by services. However, there has been a reduction in the availability of group-specific NHS and third-sector services in the community, exacerbating pre-existing barriers. As these developments are likely to have long-term consequences for minority ethnic groups' engagement with mental healthcare, they need to be addressed as a priority by the NHS and its partners.
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Affiliation(s)
- Catherine Winsper
- Department of Research and Innovation, Coventry and Warwickshire Partnership NHS Trust, Coventry, UK
| | | | - Kamaldeep Bhui
- Department of Psychiatry, Medical Sciences Division, University of Oxford, Oxford, UK
| | - Graeme Currie
- Warwick Business School, University of Warwick, Coventry, UK
| | - Dawn Edge
- Division of Psychology & Mental Health, University of Manchester, Manchester, UK
| | - David Ellard
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK
| | - Donna Franklin
- School of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, UK
| | - Paramjit Gill
- Department of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | | | - Noreen Khan
- Department of Research and Innovation, Coventry and Warwickshire Partnership NHS Trust, Coventry, UK
| | - Robin Miller
- School of Social Policy, University of Birmingham, Birmingham, UK
| | - Zahra Motala
- Department of Sociology, University of Manchester, Manchester, UK
| | | | - Harbinder Sandhu
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK
| | - Swaran P Singh
- Department of Research and Innovation, Coventry and Warwickshire Partnership NHS Trust, Coventry, UK; and Department of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Scott Weich
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Domenico Giacco
- Department of Research and Innovation, Coventry and Warwickshire Partnership NHS Trust, Coventry, UK; and Department of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
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Hawwash NK, Sperrin M, Martin GP, Joshu CE, Florido R, Platz EA, Renehan AG. Overweight-years and cancer risk: A prospective study of the association and comparison of predictive performance with body mass index (Atherosclerosis Risk in Communities Study). Int J Cancer 2024; 154:1556-1568. [PMID: 38143298 PMCID: PMC7615716 DOI: 10.1002/ijc.34821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 11/12/2023] [Accepted: 11/22/2023] [Indexed: 12/26/2023]
Abstract
Excess body mass index (BMI) is associated with a higher risk of at least 13 cancers, but it is usually measured at a single time point. We tested whether the overweight-years metric, which incorporates exposure time to BMI ≥25 kg/m2 , is associated with cancer risk and compared this with a single BMI measure. We used adulthood BMI readings in the Atherosclerosis Risk in Communities (ARIC) study to derive the overweight-years metric. We calculated associations between the metric and BMI and the risk of cancers using Cox proportional hazards models. Models that either included the metric or BMI were compared using Harrell's C-statistic. We included 13,463 participants, with 3,876 first primary cancers over a mean of 19 years (SD 7) of cancer follow-up. Hazard ratios for obesity-related cancers per standard deviation overweight-years were 1.15 (95% CI: 1.05-1.25) in men and 1.14 (95% CI: 1.08-1.20) in women. The difference in the C-statistic between models that incorporated BMI, or the overweight-years metric was non-significant in men and women. Overweight-years was associated with the risk of obesity-related cancers but did not outperform a single BMI measure in association performance characteristics.
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Affiliation(s)
- Nadin K. Hawwash
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Cancer Research UK, Manchester Cancer Research Centre, Manchester, UK
| | - Matthew Sperrin
- Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Glen P. Martin
- Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Corinne E. Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, USA
| | - Roberta Florido
- Division of Cardiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Elizabeth A. Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, USA
| | - Andrew G. Renehan
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- National Institute for Health Research (NIHR) Manchester Biomedical Research Centre, Manchester, UK
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Camp J, Durante G, Cooper A, Smith P, Rimes KA. Clinical outcomes for sexual and gender minority adolescents in a dialectical behaviour therapy programme. Behav Cogn Psychother 2024:1-19. [PMID: 38586939 DOI: 10.1017/s135246582400016x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
BACKGROUND Sexuality and gender minoritised (SGM) adolescents are at increased risk of self-injury and suicide, and experience barriers to accessing mental health support. Dialectical behaviour therapy (DBT) is an effective treatment for self-injury and emotion dysregulation in adolescent populations, but few studies have published outcomes of DBT for SGM young people. AIMS This study aimed to investigate treatment outcomes and completion for SGM adolescents and their cisgender and heterosexual peers, in the National & Specialist CAMHS, DBT service (UK). METHOD Treatment completion, and opting out before and during treatment were examined for sexual and gender identity groups, as well as changes by the end of treatment in emotion dysregulation, self-injury, in-patient bed-days, emergency department attendances, and borderline personality disorder, depression and anxiety symptoms. RESULTS SGM adolescents were over-represented in this service, even after considering their increased risk for self-injury. No statistically significant differences were found for treatment completion between the sexual orientation and gender identity groups, although there were patterns indicating possible lower treatment uptake and completion that warrant further investigation. Clinical outcomes for treatment-completers showed improvement by the end of DBT for each group, with few exceptions. DISCUSSION These results are from relatively small subsamples, and it was not possible to separate by sex assigned at birth. Findings should be treated tentatively and as early indications of effect sizes to inform future studies. This study suggests that DBT could be a useful treatment for SGM adolescents in a highly specialist treatment setting.
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Affiliation(s)
- J Camp
- National & Specialist CAMHS, DBT Service, South London & Maudsley NHS Foundation Trust, Micheal Rutter Centre, Maudsley Hospital, London, UK
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - G Durante
- Department of Psychology, Goldsmiths University of London, Lewisham Way, London, UK
| | - A Cooper
- Department of Psychology, Goldsmiths University of London, Lewisham Way, London, UK
| | - P Smith
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - K A Rimes
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
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Ling SF, Yap CF, Nair N, Bluett J, Morgan AW, Isaacs JD, Wilson AG, Hyrich KL, Barton A, Plant D. A proteomics study of rheumatoid arthritis patients on etanercept identifies putative biomarkers associated with clinical outcome measures. Rheumatology (Oxford) 2024; 63:1015-1021. [PMID: 37389432 PMCID: PMC10986807 DOI: 10.1093/rheumatology/kead321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 05/26/2023] [Accepted: 06/15/2023] [Indexed: 07/01/2023] Open
Abstract
OBJECTIVES Biologic DMARDs (bDMARDs) are widely used in patients with RA, but response to bDMARDs is heterogeneous. The objective of this work was to identify pretreatment proteomic biomarkers associated with RA clinical outcome measures in patients starting bDMARDs. METHODS Sequential window acquisition of all theoretical fragment ion spectra mass spectrometry (SWATH-MS) was used to generate spectral maps of sera from patients with RA before and after 3 months of treatment with the bDMARD etanercept. Protein levels were regressed against RA clinical outcome measures, i.e. 28-joint DAS (DAS28) and its subcomponents and DAS28 <2.6 (i.e. remission). The proteins with the strongest evidence for association were analysed in an independent, replication dataset. Finally, subnetwork analysis was carried out using the Disease Module Detection algorithm and biological plausibility of identified proteins was assessed by enrichment analysis. RESULTS A total of 180 patients with RA were included in the discovery dataset and 58 in the validation dataset from a UK-based prospective multicentre study. Ten individual proteins were found to be significantly associated with RA clinical outcome measures. The association of T-complex protein 1 subunit η with DAS28 remission was replicated in an independent cohort. Subnetwork analysis of the 10 proteins from the regression analysis identified the ontological theme, with the strongest associations being with acute phase and acute inflammatory responses. CONCLUSION This longitudinal study of 180 patients with RA commencing etanercept has identified several putative protein biomarkers of treatment response to this drug, one of which was replicated in an independent cohort.
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Affiliation(s)
- Stephanie F Ling
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
- NIHR Biomedical Research Centre Manchester, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Chuan Fu Yap
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
| | - Nisha Nair
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
- NIHR Biomedical Research Centre Manchester, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - James Bluett
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
- NIHR Biomedical Research Centre Manchester, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Ann W Morgan
- School of Medicine, University of Leeds, Leeds, UK
- NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
- NIHR In Vitro Diagnostic Co-operative, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - John D Isaacs
- Translational and Clinical Research Institute, Newcastle University, Newcastle-upon-Tyne, UK
- Musculoskeletal Unit, Newcastle-upon-Tyne Hospitals NHS Foundation Trust, Newcastle-upon-Tyne, UK
| | - Anthony G Wilson
- School of Medicine and Medical Science, Conway Institute, University College Dublin, Dublin, Ireland
| | - Kimme L Hyrich
- NIHR Biomedical Research Centre Manchester, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
| | - Anne Barton
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
- NIHR Biomedical Research Centre Manchester, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Darren Plant
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
- NIHR Biomedical Research Centre Manchester, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
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Hall M, de Marvao A, Schweitzer R, Cromb D, Colford K, Jandu P, O’Regan DP, Ho A, Price A, Chappell LC, Rutherford MA, Story L, Lamata P, Hutter J. Preeclampsia Associated Differences in the Placenta, Fetal Brain, and Maternal Heart Can Be Demonstrated Antenatally: An Observational Cohort Study Using MRI. Hypertension 2024; 81:836-847. [PMID: 38314606 PMCID: PMC7615760 DOI: 10.1161/hypertensionaha.123.22442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/02/2024] [Indexed: 02/06/2024]
Abstract
BACKGROUND Preeclampsia is a multiorgan disease of pregnancy that has short- and long-term implications for the woman and fetus, whose immediate impact is poorly understood. We present a novel multiorgan approach to magnetic resonance imaging (MRI) investigation of preeclampsia, with the acquisition of maternal cardiac, placental, and fetal brain anatomic and functional imaging. METHODS An observational study was performed recruiting 3 groups of pregnant women: those with preeclampsia, chronic hypertension, or no medical complications. All women underwent a cardiac MRI, and pregnant women underwent a placental-fetal MRI. Cardiac analysis for structural, morphological, and flow data were undertaken; placenta and fetal brain volumetric and T2* (which describes relative tissue oxygenation) data were obtained. All results were corrected for gestational age. A nonpregnant cohort was identified for inclusion in the statistical shape analysis. RESULTS Seventy-eight MRIs were obtained during pregnancy. Cardiac MRI analysis demonstrated higher left ventricular mass in preeclampsia with 3-dimensional modeling revealing additional specific characteristics of eccentricity and outflow track remodeling. Pregnancies affected by preeclampsia demonstrated lower placental and fetal brain T2*. Within the preeclampsia group, 23% placental T2* results were consistent with controls, these were the only cases with normal placental histopathology. Fetal brain T2* results were consistent with normal controls in 31% of cases. CONCLUSIONS We present the first holistic assessment of the immediate implications of preeclampsia on maternal heart, placenta, and fetal brain. As well as having potential clinical implications for the risk stratification and management of women with preeclampsia, this gives an insight into the disease mechanism.
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Affiliation(s)
- Megan Hall
- Department of Women and Children’s Health (M.H., A.d.M., A.H., L.C.C., L.S.), King’s College London, United Kingdom
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
| | - Antonio de Marvao
- Department of Women and Children’s Health (M.H., A.d.M., A.H., L.C.C., L.S.), King’s College London, United Kingdom
- School of Cardiovascular Medicine (A.d.M., R.S.), King’s College London, United Kingdom
- MRC London Institute of Medical Sciences, Imperial College London, United Kingdom (A.d.M., R.S., D.P.O.)
| | - Ronny Schweitzer
- School of Cardiovascular Medicine (A.d.M., R.S.), King’s College London, United Kingdom
- MRC London Institute of Medical Sciences, Imperial College London, United Kingdom (A.d.M., R.S., D.P.O.)
| | - Daniel Cromb
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
| | - Kathleen Colford
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
| | - Priya Jandu
- GKT School of Medical Education (P.J.), King’s College London, United Kingdom
| | - Declan P O’Regan
- MRC London Institute of Medical Sciences, Imperial College London, United Kingdom (A.d.M., R.S., D.P.O.)
| | - Alison Ho
- Department of Women and Children’s Health (M.H., A.d.M., A.H., L.C.C., L.S.), King’s College London, United Kingdom
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
| | - Anthony Price
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
- Centre for Medical Engineering (A.P., P.L.), King’s College London, United Kingdom
| | - Lucy C. Chappell
- Department of Women and Children’s Health (M.H., A.d.M., A.H., L.C.C., L.S.), King’s College London, United Kingdom
| | - Mary A. Rutherford
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
| | - Lisa Story
- Department of Women and Children’s Health (M.H., A.d.M., A.H., L.C.C., L.S.), King’s College London, United Kingdom
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
| | - Pablo Lamata
- Centre for Medical Engineering (A.P., P.L.), King’s College London, United Kingdom
| | - Jana Hutter
- Centre for the Developing Brain (M.H., D.C., K.C., A.H., A.P., M.A.R., L.S., J.H.), King’s College London, United Kingdom
- Smart Imaging Lab, Radiological Institute, University Hospital Erlangen, Germany (J.H.)
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Carter JJ, Walker TM, Walker AS, Whitfield MG, Morlock GP, Lynch CI, Adlard D, Peto TEA, Posey JE, Crook DW, Fowler PW. Prediction of pyrazinamide resistance in Mycobacterium tuberculosis using structure-based machine-learning approaches. JAC Antimicrob Resist 2024; 6:dlae037. [PMID: 38500518 PMCID: PMC10946228 DOI: 10.1093/jacamr/dlae037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 02/19/2024] [Indexed: 03/20/2024] Open
Abstract
Background Pyrazinamide is one of four first-line antibiotics used to treat tuberculosis; however, antibiotic susceptibility testing for pyrazinamide is challenging. Resistance to pyrazinamide is primarily driven by genetic variation in pncA, encoding an enzyme that converts pyrazinamide into its active form. Methods We curated a dataset of 664 non-redundant, missense amino acid mutations in PncA with associated high-confidence phenotypes from published studies and then trained three different machine-learning models to predict pyrazinamide resistance. All models had access to a range of protein structural-, chemical- and sequence-based features. Results The best model, a gradient-boosted decision tree, achieved a sensitivity of 80.2% and a specificity of 76.9% on the hold-out test dataset. The clinical performance of the models was then estimated by predicting the binary pyrazinamide resistance phenotype of 4027 samples harbouring 367 unique missense mutations in pncA derived from 24 231 clinical isolates. Conclusions This work demonstrates how machine learning can enhance the sensitivity/specificity of pyrazinamide resistance prediction in genetics-based clinical microbiology workflows, highlights novel mutations for future biochemical investigation, and is a proof of concept for using this approach in other drugs.
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Affiliation(s)
- Joshua J Carter
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
| | - Timothy M Walker
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
| | - A Sarah Walker
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
- National Institute of Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
- NIHR Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, University of Oxford, Oxford, UK
| | - Michael G Whitfield
- Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, SAMRC Centre for Tuberculosis Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Tygerberg, South Africa
| | - Glenn P Morlock
- Division of Tuberculosis Elimination, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Charlotte I Lynch
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
| | - Dylan Adlard
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
| | - Timothy E A Peto
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
- National Institute of Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
| | - James E Posey
- Division of Tuberculosis Elimination, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Derrick W Crook
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
- National Institute of Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
- NIHR Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, University of Oxford, Oxford, UK
| | - Philip W Fowler
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
- National Institute of Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
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Roberts E. What impact could the legalisation of recreational cannabis have on the health of the UK? Lessons from the rest of the world. Br J Psychiatry 2024; 224:117-118. [PMID: 38268114 PMCID: PMC7615739 DOI: 10.1192/bjp.2024.4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2024]
Abstract
Several jurisdictions across the globe have introduced legislation to legally permit the sale and consumption of recreational cannabis. This editorial considers current evidence from the rest of the world and asks how this might inform the possible consequences of 'legalisation' models in the UK.
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Affiliation(s)
- Emmert Roberts
- National Addiction Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and South London and the Maudsley NHS Foundation Trust, London, UK
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Kwong FL, Kristunas C, Davenport C, Aggarwal R, Deeks J, Mallett S, Kehoe S, Timmerman D, Bourne T, Stobart H, Neal R, Menon U, Gentry-Maharaj A, Sturdy L, Ottridge R, Sundar S. Investigating harms of testing for ovarian cancer - psychological outcomes and cancer conversion rates in women with symptoms of ovarian cancer: A cohort study embedded in the multicentre ROCkeTS prospective diagnostic study. BJOG 2024. [PMID: 38556698 DOI: 10.1111/1471-0528.17813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/29/2024] [Accepted: 03/04/2024] [Indexed: 04/02/2024]
Abstract
OBJECTIVE To investigate psychological correlates in women referred with suspected ovarian cancer via the fast-track pathway, explore how anxiety and distress levels change at 12 months post-testing, and report cancer conversion rates by age and referral pathway. DESIGN Single-arm prospective cohort study. SETTING Multicentre. Secondary care including outpatient clinics and emergency admissions. POPULATION A cohort of 2596 newly presenting symptomatic women with a raised CA125 level, abnormal imaging or both. METHODS Women completed anxiety and distress questionnaires at recruitment and at 12 months for those who had not undergone surgery or a biopsy within 3 months of recruitment. MAIN OUTCOME MEASURES Anxiety and distress levels measured using a six-item short form of the State-Trait Anxiety Inventory (STAI-6) and the Impact of Event Scale - Revised (IES-r) questionnaire. Ovarian cancer (OC) conversion rates by age, menopausal status and referral pathway. RESULTS Overall, 1355/2596 (52.1%) and 1781/2596 (68.6%) experienced moderate-to-severe distress and anxiety, respectively, at recruitment. Younger age and emergency presentations had higher distress levels. The clinical category for anxiety and distress remained unchanged/worsened in 76% of respondents at 12 months, despite a non-cancer diagnosis. The OC rates by age were 1.6% (95% CI 0.5%-5.9%) for age <40 years and 10.9% (95% CI 8.7%-13.6%) for age ≥40 years. In women referred through fast-track pathways, 3.3% (95% CI 1.9%-5.7%) of pre- and 18.5% (95% CI 16.1%-21.0%) of postmenopausal women were diagnosed with OC. CONCLUSIONS Women undergoing diagnostic testing display severe anxiety and distress. Younger women are especially vulnerable and should be targeted for support. Women under the age of 40 years have low conversion rates and we advocate reducing testing in this group to reduce the harms of testing.
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Affiliation(s)
- Fong Lien Kwong
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Pan Birmingham Gynaecological Cancer Centre, City Hospital, Birmingham, UK
| | - Caroline Kristunas
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Clare Davenport
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Ridhi Aggarwal
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Jon Deeks
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Sue Mallett
- Centre for Medical Imaging, University College London, London, UK
| | - Sean Kehoe
- St Peter's College, University of Oxford, Oxford, UK
| | - Dirk Timmerman
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Obstetrics and Gynaecology, University Hospitals KU Leuven, Leuven, Belgium
| | - Tom Bourne
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | | | - Richard Neal
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Usha Menon
- Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Alex Gentry-Maharaj
- Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Lauren Sturdy
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Ryan Ottridge
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Sudha Sundar
- Pan Birmingham Gynaecological Cancer Centre, City Hospital, Birmingham, UK
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
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Rouanet A, Johnson R, Strauss M, Richardson S, Tom BD, White SR, Kirk PDW. Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables. Methodology (Gott) 2024; 73:314-339. [PMID: 38577633 PMCID: PMC7615733 DOI: 10.1093/jrsssc/qlad097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2024] Open
Abstract
The identification of sets of co-regulated genes that share a common function is a key question of modern genomics. Bayesian profile regression is a semi-supervised mixture modelling approach that makes use of a response to guide inference toward relevant clusterings. Previous applications of profile regression have considered univariate continuous, categorical, and count outcomes. In this work, we extend Bayesian profile regression to cases where the outcome is longitudinal (or multivariate continuous) and provide PReMiuMlongi, an updated version of PReMiuM, the R package for profile regression. We consider multivariate normal and Gaussian process regression response models and provide proof of principle applications to four simulation studies. The model is applied on budding yeast data to identify groups of genes co-regulated during the Saccharomyces cerevisiae cell cycle. We identify 4 distinct groups of genes associated with specific patterns of gene expression trajectories, along with the bound transcriptional factors, likely involved in their co-regulation process.
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Affiliation(s)
- Anaïs Rouanet
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, U.K
| | - Rob Johnson
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, U.K
| | - Magdalena Strauss
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, U.K
- EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Sylvia Richardson
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, U.K
| | - Brian D Tom
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, U.K
| | - Simon R White
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, U.K
- Department of Psychiatry, University of Cambridge, Cambridge, CB2 3EB, UK
| | - Paul D. W. Kirk
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, U.K
- Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, U.K
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10
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McNally RJ, Dunkerley J, Holland M, Eatough R, Lacy P, McManus RJ, Chapman N, Chowienczyk PJ, Lewis P, Clark CE, Denver E, Neary A, McDonagh STJ, Sheppard JP. 'Legacy publication of a 2009 validation of the Riester Big Ben Square Desk aneroid device for blood pressure measurement according to the European Society of Hypertension International Protocol for validation of blood pressure measuring devices in adults (2002)'. Blood Press Monit 2024:00126097-990000000-00104. [PMID: 38502042 DOI: 10.1097/mbp.0000000000000702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
OBJECTIVE To report a validation of the Riester Big Ben Square Desk Aneroid Sphygmomanometer according to the international protocol developed by the Working Group on Blood Pressure Monitoring of the European Society of Hypertension 2002 (ESH-IP 2002) in the interest of transparency. This legacy publication is intended to assure users that the device satisfied the requirements in place at that time. METHODS Performance of the device was assessed by participants' age, sex, arm circumference and entry SBP/DBP. Validation was performed in 33 participants. The sphygmomanometer was assessed according to the ESH-IP, which defines zones of accuracy compared to the mercury standard as ≤5, ≤10, ≤15 mmHg or more. RESULTS The mean (± SD) age was 50.5 ± 13.0 years, range 29-71 years, entry SBP 142.6 ± 23.7 mmHg, entry DBP 89.0 ± 17.8 mmHg. The device passed all the requirements listed and the validation protocol. The Riester Big Ben Square Desk aneroid sphygmomanometer slightly underestimated the observer-measured SBP, yet slightly overestimated DBP. The observer-device disagreement was -0.8 ± 6.4 mmHg SBP and +0.6 ± 4.0 mmHg DBP. CONCLUSION These data show that the Riester Big Ben Square Desk aneroid sphygmomanometer fulfilled the ESH-IP 2002 requirements for the validation of BP monitors. It was on this basis that the British and Irish Hypertension Society recommended it for clinical use in the adult population.
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Affiliation(s)
- Ryan J McNally
- Department of Clinical Pharmacology, St. Thomas' Hospital London, King's College London, British Heart Foundation Centre, London
| | - Janette Dunkerley
- Cardiovascular Trials Unit 1st Floor, Purple Zone Manchester Royal Infirmary Oxford Road Manchester
| | - Maureen Holland
- Cardiovascular Trials Unit 1st Floor, Purple Zone Manchester Royal Infirmary Oxford Road Manchester
| | - Ruth Eatough
- Cardiovascular Trials Unit 1st Floor, Purple Zone Manchester Royal Infirmary Oxford Road Manchester
| | - Peter Lacy
- Institute of Cardiovascular Sciences, NIHR UCL Hospitals Biomedical Research Centre, University College London
| | - Richard J McManus
- Nuffield Department of Primary Care Health Sciences, University of Oxford
| | | | - Philip J Chowienczyk
- Department of Clinical Pharmacology, St. Thomas' Hospital London, King's College London, British Heart Foundation Centre, London
| | | | | | | | | | | | - James P Sheppard
- Nuffield Department of Primary Care Health Sciences, University of Oxford
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11
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Jada L, Holtackers RJ, Martens B, Nies HMJM, Van De Heyning CM, Botnar RM, Wildberger JE, Ismail TF, Razavi R, Chiribiri A. Quantification of myocardial scar of different etiology using dark- and bright-blood late gadolinium enhancement cardiovascular magnetic resonance. Sci Rep 2024; 14:5395. [PMID: 38443457 PMCID: PMC10914833 DOI: 10.1038/s41598-024-52058-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 01/12/2024] [Indexed: 03/07/2024] Open
Abstract
Dark-blood late gadolinium enhancement (LGE) has been shown to improve the visualization and quantification of areas of ischemic scar compared to standard bright-blood LGE. Recently, the performance of various semi-automated quantification methods has been evaluated for the assessment of infarct size using both dark-blood LGE and conventional bright-blood LGE with histopathology as a reference standard. However, the impact of this sequence on different quantification strategies in vivo remains uncertain. In this study, various semi-automated scar quantification methods were evaluated for a range of different ischemic and non-ischemic pathologies encountered in clinical practice. A total of 62 patients referred for clinical cardiovascular magnetic resonance (CMR) were retrospectively included. All patients had a confirmed diagnosis of either ischemic heart disease (IHD; n = 21), dilated/non-ischemic cardiomyopathy (NICM; n = 21), or hypertrophic cardiomyopathy (HCM; n = 20) and underwent CMR on a 1.5 T scanner including both bright- and dark-blood LGE using a standard PSIR sequence. Both methods used identical sequence settings as per clinical protocol, apart from the inversion time parameter, which was set differently. All short-axis LGE images with scar were manually segmented for epicardial and endocardial borders. The extent of LGE was then measured visually by manual signal thresholding, and semi-automatically by signal thresholding using the standard deviation (SD) and the full width at half maximum (FWHM) methods. For all quantification methods in the IHD group, except the 6 SD method, dark-blood LGE detected significantly more enhancement compared to bright-blood LGE (p < 0.05 for all methods). For both bright-blood and dark-blood LGE, the 6 SD method correlated best with manual thresholding (16.9% vs. 17.1% and 20.1% vs. 20.4%, respectively). For the NICM group, no significant differences between LGE methods were found. For bright-blood LGE, the 5 SD method agreed best with manual thresholding (9.3% vs. 11.0%), while for dark-blood LGE the 4 SD method agreed best (12.6% vs. 11.5%). Similarly, for the HCM group no significant differences between LGE methods were found. For bright-blood LGE, the 6 SD method agreed best with manual thresholding (10.9% vs. 12.2%), while for dark-blood LGE the 5 SD method agreed best (13.2% vs. 11.5%). Semi-automated LGE quantification using dark-blood LGE images is feasible in both patients with ischemic and non-ischemic scar patterns. Given the advantage in detecting scar in patients with ischemic heart disease and no disadvantage in patients with non-ischemic scar, dark-blood LGE can be readily and widely adopted into clinical practice without compromising on quantification.
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Affiliation(s)
- Lamis Jada
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
- King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| | - Robert J Holtackers
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.
| | - Bibi Martens
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Hedwig M J M Nies
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Caroline M Van De Heyning
- GENCOR, University of Antwerp, Antwerp, Belgium
- Department of Cardiology, Antwerp University Hospital, Antwerp, Belgium
| | - Rene M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
- Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
- Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile
| | - Joachim E Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Tevfik F Ismail
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
| | - Reza Razavi
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
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12
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Rees J, Sarangi G, Cheng Q, Floor M, Andrés AM, Oliva Miguel B, Villà-Freixa J, Arnér ESJ, Castellano S. Ancient Loss of Catalytic Selenocysteine Spurred Convergent Adaptation in a Mammalian Oxidoreductase. Genome Biol Evol 2024; 16:evae041. [PMID: 38447079 PMCID: PMC10958145 DOI: 10.1093/gbe/evae041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 02/14/2024] [Accepted: 02/22/2024] [Indexed: 03/08/2024] Open
Abstract
Selenocysteine, the 21st amino acid specified by the genetic code, is a rare selenium-containing residue found in the catalytic site of selenoprotein oxidoreductases. Selenocysteine is analogous to the common cysteine amino acid, but its selenium atom offers physical-chemical properties not provided by the corresponding sulfur atom in cysteine. Catalytic sites with selenocysteine in selenoproteins of vertebrates are under strong purifying selection, but one enzyme, glutathione peroxidase 6 (GPX6), independently exchanged selenocysteine for cysteine <100 million years ago in several mammalian lineages. We reconstructed and assayed these ancient enzymes before and after selenocysteine was lost and up to today and found them to have lost their classic ability to reduce hydroperoxides using glutathione. This loss of function, however, was accompanied by additional amino acid changes in the catalytic domain, with protein sites concertedly changing under positive selection across distant lineages abandoning selenocysteine in glutathione peroxidase 6. This demonstrates a narrow evolutionary range in maintaining fitness when sulfur in cysteine impairs the catalytic activity of this protein, with pleiotropy and epistasis likely driving the observed convergent evolution. We propose that the mutations shared across distinct lineages may trigger enzymatic properties beyond those in classic glutathione peroxidases, rather than simply recovering catalytic rate. These findings are an unusual example of adaptive convergence across mammalian selenoproteins, with the evolutionary signatures possibly representing the evolution of novel oxidoreductase functions.
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Affiliation(s)
- Jasmin Rees
- Great Ormond Street Institute of Child Health, University College London, London, UK
- Division of Biosciences, University College London, London, UK
| | - Gaurab Sarangi
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Qing Cheng
- Division of Biochemistry, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Martin Floor
- Department of Biosciences, Faculty of Sciences and Technology, Universitat de Vic—Universitat Central de Catalunya, Vic, Spain
- Department of Life Sciences, Barcelona Supercomputing Center (BSC), Barcelona, Spain
| | - Aida M Andrés
- Division of Biosciences, University College London, London, UK
| | - Baldomero Oliva Miguel
- Department of Health and Experimental Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Jordi Villà-Freixa
- Department of Biosciences, Faculty of Sciences and Technology, Universitat de Vic—Universitat Central de Catalunya, Vic, Spain
- Institut de Recerca i Innovació en Ciències de la Vida i de la Salut a la Catalunya Central (IRIS-CC), Vic, Spain
| | - Elias S J Arnér
- Division of Biochemistry, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
- Department of Selenoprotein Research, National Institute of Oncology, Budapest, Hungary
| | - Sergi Castellano
- Great Ormond Street Institute of Child Health, University College London, London, UK
- UCL Genomics, University College London, London, UK
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13
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Beesley R, Luling Feilding F, Rosser EC, Shoop-Worrall SJW, McNeece A, Wanstall Z, Hyrich K, Wedderburn LR. Development and implementation of 'A guide to PPIE - Early Integration into Research Proposals' in a multi-disciplinary consortium. Rheumatology (Oxford) 2024; 63:e88-e91. [PMID: 37707533 PMCID: PMC10907810 DOI: 10.1093/rheumatology/kead482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 08/04/2023] [Accepted: 08/10/2023] [Indexed: 09/15/2023] Open
Affiliation(s)
| | - Freya Luling Feilding
- Infection Immunity and Inflammation Research and Teaching Department UCL Great Ormond Street Institute of Child Health, London, UK
| | - Elizabeth C Rosser
- Centre for Adolescent Rheumatology Versus Arthritis at UCL, University College London Hospitals (UCLH) and Great Ormond Street Hospital (GOSH), London, UK
- Centre for Rheumatology Research, Division of Medicine, University College London, London, UK
| | - Stephanie J W Shoop-Worrall
- Centre for Epidemiology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Alyssia McNeece
- Infection Immunity and Inflammation Research and Teaching Department UCL Great Ormond Street Institute of Child Health, London, UK
| | - Zoe Wanstall
- Infection Immunity and Inflammation Research and Teaching Department UCL Great Ormond Street Institute of Child Health, London, UK
| | - Kimme Hyrich
- Centre for Epidemiology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
- National Institute of Health Research Manchester Biomedical Research Centre, Manchester University NHS Trust, Manchester, UK
| | - Lucy R Wedderburn
- Infection Immunity and Inflammation Research and Teaching Department UCL Great Ormond Street Institute of Child Health, London, UK
- Centre for Adolescent Rheumatology Versus Arthritis at UCL, University College London Hospitals (UCLH) and Great Ormond Street Hospital (GOSH), London, UK
- National Institute of Health Research Biomedical Research Centre at GOSH, London, UK
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14
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Waterlow NR, Cooper BS, Robotham JV, Knight GM. Antimicrobial resistance prevalence in bloodstream infection in 29 European countries by age and sex: An observational study. PLoS Med 2024; 21:e1004301. [PMID: 38484006 PMCID: PMC10939247 DOI: 10.1371/journal.pmed.1004301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 01/22/2024] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND Antibiotic usage, contact with high transmission healthcare settings as well as changes in immune system function all vary by a patient's age and sex. Yet, most analyses of antimicrobial resistance (AMR) ignore demographic indicators and provide only country-level resistance prevalence values. This study aimed to address this knowledge gap by quantifying how resistance prevalence and incidence of bloodstream infection (BSI) varied by age and sex across bacteria and antibiotics in Europe. METHODS AND FINDINGS We used patient-level data collected as part of routine surveillance between 2015 and 2019 on BSIs in 29 European countries from the European Antimicrobial Resistance Surveillance Network (EARS-Net). A total of 6,862,577 susceptibility results from isolates with age, sex, and spatial information from 944,520 individuals were used to characterise resistance prevalence patterns for 38 different bacterial species and antibiotic combinations, and 47% of these susceptibility results were from females, with a similar age distribution in both sexes (mean of 66 years old). A total of 349,448 isolates from 2019 with age and sex metadata were used to calculate incidence. We fit Bayesian multilevel regression models by country, laboratory code, sex, age, and year of sample to quantify resistant prevalence and provide estimates of country-, bacteria-, and drug-family effect variation. We explore our results in greater depths for 2 of the most clinically important bacteria-antibiotic combinations (aminopenicillin resistance in Escherichia coli and methicillin resistance in Staphylococcus aureus) and present a simplifying indicative index of the difference in predicted resistance between old (aged 100) and young (aged 1). At the European level, we find distinct patterns in resistance prevalence by age. Trends often vary more within an antibiotic family, such as fluroquinolones, than within a bacterial species, such as Pseudomonas aeruginosa. Clear resistance increases by age for methicillin-resistant Staphylococcus aureus (MRSA) contrast with a peak in resistance to several antibiotics at approximately 30 years of age for P. aeruginosa. For most bacterial species, there was a u-shaped pattern of infection incidence with age, which was higher in males. An important exception was E. coli, for which there was an elevated incidence in females between the ages of 15 and 40. At the country-level, subnational differences account for a large amount of resistance variation (approximately 38%), and there are a range of functional forms for the associations between age and resistance prevalence. For MRSA, age trends were mostly positive, with 72% (n = 21) of countries seeing an increased resistance between males aged 1 and 100 years and a greater change in resistance in males. This compares to age trends for aminopenicillin resistance in E. coli which were mostly negative (males: 93% (n = 27) of countries see decreased resistance between those aged 1 and 100 years) with a smaller change in resistance in females. A change in resistance prevalence between those aged 1 and 100 years ranged up to 0.51 (median, 95% quantile of model simulated prevalence using posterior parameter ranges 0.48, 0.55 in males) for MRSA in one country but varied between 0.16 (95% quantile 0.12, 0.21 in females) to -0.27 (95% quantile -0.4, -0.15 in males) across individual countries for aminopenicillin resistance in E. coli. Limitations include potential bias due to the nature of routine surveillance and dependency of results on model structure. CONCLUSIONS In this study, we found that the prevalence of resistance in BSIs in Europe varies substantially by bacteria and antibiotic over the age and sex of the patient shedding new light on gaps in our understanding of AMR epidemiology. Future work is needed to determine the drivers of these associations in order to more effectively target transmission and antibiotic stewardship interventions.
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Affiliation(s)
- Naomi R. Waterlow
- Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, EPH, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Ben S. Cooper
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Julie V. Robotham
- NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in Partnership with the UK Health Security Agency, Oxford, United Kingdom
| | - Gwenan Mary Knight
- Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, EPH, London School of Hygiene and Tropical Medicine, London, United Kingdom
- AMR Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
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15
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Teoh LJ, Kellett S, Patel DE, Cortina-Borja M, Solebo AL, Rahi JS. Evaluating the Quantity and Quality of Health Economic Literature in Blinding Childhood Disorders: A Systematic Literature Review. Pharmacoeconomics 2024; 42:275-299. [PMID: 37971639 PMCID: PMC7615631 DOI: 10.1007/s40273-023-01311-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/25/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Evidence on the socioeconomic burden associated with childhood visual impairment, severe visual impairment and blindness (VI/SVI/BL) is needed to inform economic evaluations of existing and emerging interventions aimed at protecting or improving vision. This study aimed to evaluate the quantity and quality of literature on resource use and/or costs associated with childhood VI/SVI/BL disorders. METHODS PubMed, Web of Science (Ovid), the National Health Service (NHS) Economic Evaluation Database and grey literature were searched in November 2020. The PubMed search was rerun in February 2022. Original articles reporting unique estimates of resource use or cost data on conditions resulting in bilateral VI/SVI/BL were eligible for data extraction. Quality assessment (QA) was undertaken using the Drummond checklist adapted for cost-of-illness (COI) studies. RESULTS We identified 31 eligible articles, 27 from the peer-reviewed literature and four from the grey literature. Two reported on resource use, and 29 reported on costs. Cerebral visual impairment and optic nerve disorders were not examined in any included studies, whereas retinopathy of prematurity was the most frequently examined condition. The quality of studies varied, with economic evaluations having higher mean QA scores (82%) compared to COI studies (77%). Deficiencies in reporting were seen, particularly in the clinical definitions of conditions in economic evaluations and a lack of discounting and sensitivity analyses in COI studies. CONCLUSIONS There is sparse literature on resource use or costs associated with childhood visual impairment disorders. The first step in addressing this important evidence gap is to ensure core visual impairment outcomes are measured in future randomised control trials of interventions as well as cohort studies and are reported as a discrete health outcome.
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Affiliation(s)
- Lucinda J Teoh
- Population, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK.
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK.
| | - Salomey Kellett
- Population, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Dipesh E Patel
- Population, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Moorfields NIHR Biomedical Research Centre, London, UK
- UCL Institute of Ophthalmology, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Ameenat Lola Solebo
- Population, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
- Great Ormond Street Hospital for Children NHS Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Moorfields NIHR Biomedical Research Centre, London, UK
- UCL Institute of Ophthalmology, London, UK
| | - Jugnoo S Rahi
- Population, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
- Great Ormond Street Hospital for Children NHS Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Moorfields NIHR Biomedical Research Centre, London, UK
- UCL Institute of Ophthalmology, London, UK
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16
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Wu R, Williams C, Zhou J, Schlackow I, Emberson J, Reith C, Keech A, Robson J, Armitage J, Gray A, Simes J, Baigent C, Mihaylova B, Armitage J, Baigent C, Barnes E, Blackwell L, Collins R, Davies K, Emberson J, Fulcher J, Halls H, Herrington WG, Holland L, Keech A, Kirby A, Mihaylova B, O'Connell R, Preiss D, Reith C, Simes J, Wilson K, Blazing M, Braunwald E, Lemos JD, Murphy S, Pedersen TR, Pfeffer M, White H, Wiviott S, Clearfield M, Downs JR, Gotto A, Weis S, Fellström B, Holdaas H, Jardine A, Pedersen TR, Gordon D, Davis B, Furberg C, Grimm R, Pressel S, Probstfield JL, Rahman M, Simpson L, Koren M, Dahlöf B, Gupta A, Poulter N, Sever P, Wedel H, Knopp RH, Cobbe S, Fellström B, Holdaas H, Jardine A, Schmieder R, Zannad F, Betteridge DJ, Colhoun HM, Durrington PN, Fuller J, Hitman GA, Neil A, Braunwald E, Davis B, Hawkins CM, Moyé L, Pfeffer M, Sacks F, Kjekshus J, Wedel H, Wikstrand J, Wanner C, Krane V, Franzosi MG, Latini R, Lucci D, Maggioni A, Marchioli R, Nicolis EB, Tavazzi L, Tognoni G, Bosch J, Lonn E, Yusuf S, Armitage J, Bowman L, Collins R, Keech A, Landray M, Parish S, Peto R, Sleight P, Kastelein JJ, Pedersen TR, Glynn R, Gotto A, Kastelein JJ, Koenig W, MacFadyen J, Ridker PM, Keech A, MacMahon S, Marschner I, Tonkin A, Shaw J, Simes J, White H, Serruys PW, Knatterud G, Blauw GJ, Cobbe S, Ford I, Macfarlane P, Packard C, Sattar N, Shepherd J, Trompet S, Braunwald E, Cannon CP, Murphy S, Collins R, Armitage J, Bowman L, Bulbulia R, Haynes R, Parish S, Peto R, Sleight P, Amarenco P, Welch KM, Kjekshus J, Pedersen TR, Wilhelmsen L, Barter P, Gotto A, LaRosa J, Kastelein JJ, Shepherd J, Cobbe S, Ford I, Kean S, Macfarlane P, Packard C, Roberston M, Sattar N, Shepherd J, Young R, Arashi H, Clarke R, Flather M, Goto S, Goldbourt U, Hopewell J, Hovingh GK, Kitas G, Newman C, Sabatine MS, Schwartz GG, Smeeth L, Tobert J, Varigos J, Yamamguchi J. Long-term cardiovascular risks and the impact of statin treatment on socioeconomic inequalities: a microsimulation model. Br J Gen Pract 2024; 74:BJGP.2023.0198. [PMID: 38373851 PMCID: PMC10904120 DOI: 10.3399/bjgp.2023.0198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 09/19/2023] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND UK cardiovascular disease (CVD) incidence and mortality have declined in recent decades but socioeconomic inequalities persist. AIM To present a new CVD model, and project health outcomes and the impact of guideline-recommended statin treatment across quintiles of socioeconomic deprivation in the UK. DESIGN AND SETTING A lifetime microsimulation model was developed using 117 896 participants in 16 statin trials, 501 854 UK Biobank (UKB) participants, and quality-of-life data from national health surveys. METHOD A CVD microsimulation model was developed using risk equations for myocardial infarction, stroke, coronary revascularisation, cancer, and vascular and non-vascular death, estimated using trial data. The authors calibrated and further developed this model in the UKB cohort, including further characteristics and a diabetes risk equation, and validated the model in UKB and Whitehall II cohorts. The model was used to predict CVD incidence, life expectancy, quality-adjusted life years (QALYs), and the impact of UK guideline-recommended statin treatment across socioeconomic deprivation quintiles. RESULTS Age, sex, socioeconomic deprivation, smoking, hypertension, diabetes, and cardiovascular events were key CVD risk determinants. Model-predicted event rates corresponded well to observed rates across participant categories. The model projected strong gradients in remaining life expectancy, with 4-5-year (5-8 QALYs) gaps between the least and most socioeconomically deprived quintiles. Guideline-recommended statin treatment was projected to increase QALYs, with larger gains in quintiles of higher deprivation. CONCLUSION The study demonstrated the potential of guideline-recommended statin treatment to reduce socioeconomic inequalities. This CVD model is a novel resource for individualised long-term projections of health outcomes of CVD treatments.
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Affiliation(s)
- Runguo Wu
- Health Economics and Policy Research Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Claire Williams
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Junwen Zhou
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iryna Schlackow
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jonathan Emberson
- Nuffield Department of Population Health and Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Christina Reith
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Anthony Keech
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney, Australia
| | - John Robson
- Clinical Effectiveness Group, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Jane Armitage
- Nuffield Department of Population Health and Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Alastair Gray
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - John Simes
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney, Australia
| | - Colin Baigent
- Nuffield Department of Population Health and Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Borislava Mihaylova
- Health Economics and Policy Research Unit, Wolfson Institute of Population Health, Queen Mary University of London, London; associate professor and senior health economist, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Mason KJ, Alabas OA, Dand N, Warren RB, Reynolds NJ, Barker JNWN, Yiu ZZN, Smith CH, Griffiths CEM. Characteristics of 'super responders' and 'super nonresponders' to first biologic monotherapy for psoriasis: a nested case-control study. Br J Dermatol 2024; 190:441-444. [PMID: 37952181 DOI: 10.1093/bjd/ljad446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 08/15/2023] [Accepted: 11/15/2023] [Indexed: 11/14/2023]
Abstract
It is unknown why some patients with psoriasis experience long-term effectiveness with their first biologic monotherapy. Our aim was to compare the baseline demographic, disease, genotypic, clinical and lifestyle characteristics of patients with psoriasis registered in the British Association of Dermatologists Biologics and Immunomodulators Register and the aligned Biomarkers and Stratification to Optimise outcomes in Psoriasis study who were designated as ‘super responders’ (SRs), defined as patients on their first biologic with more than 5 years continuous biologic monotherapy, or ‘super nonresponders’ (SNRs), defined as patients on their first biologic who had discontinued at least two biologics in their first year of treatment, to biologic therapy. Female sex, shorter study follow-up, higher Dermatology Life Quality Index, high frequency of adalimumab, less frequency of ustekinumab at registration, and higher number of comorbidities were associated with SNRs compared with SRs.
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Affiliation(s)
- Kayleigh J Mason
- Division of Musculoskeletal and Dermatological Sciences, NIHR Manchester Biomedical Research Centre, The University of Manchester, Manchester, UK
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Oras A Alabas
- Division of Musculoskeletal and Dermatological Sciences, NIHR Manchester Biomedical Research Centre, The University of Manchester, Manchester, UK
| | - Nick Dand
- St John's Institute of Dermatology, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Richard B Warren
- Division of Musculoskeletal and Dermatological Sciences, NIHR Manchester Biomedical Research Centre, The University of Manchester, Manchester, UK
- The Dermatology Centre, Salford Royal NHS Foundation Trust, Salford, UK
| | - Nick J Reynolds
- Institute of Translational and Clinical Medicine, Medical School, Newcastle University, Newcastle upon Tyne, UK
- Department of Dermatology, Royal Victoria Infirmary, Newcastle upon Tyne, UK
- NIHR Newcastle Biomedical Research Centre, Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Jonathan N W N Barker
- St John's Institute of Dermatology, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Zenas Z N Yiu
- Division of Musculoskeletal and Dermatological Sciences, NIHR Manchester Biomedical Research Centre, The University of Manchester, Manchester, UK
- The Dermatology Centre, Salford Royal NHS Foundation Trust, Salford, UK
| | - Catherine H Smith
- St John's Institute of Dermatology, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Christopher E M Griffiths
- Division of Musculoskeletal and Dermatological Sciences, NIHR Manchester Biomedical Research Centre, The University of Manchester, Manchester, UK
- The Dermatology Centre, Salford Royal NHS Foundation Trust, Salford, UK
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Vyas N, Bennett A, Shaver N, Beck A, Zitiktye G, Whelan B, O’Regan R, Conway A, Skidmore B, Moher D, Little J. SARS-CoV-2 transmission risk for common group activities and settings: a living scoping review. Eur J Public Health 2024; 34:196-201. [PMID: 37995320 PMCID: PMC10843946 DOI: 10.1093/eurpub/ckad195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND While the modes of transmission of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are well studied, the risk of transmission in various group settings or activities is less clear. This living scoping review aims to summarize the risk factors of coronavirus disease 2019 (COVID-19) spread in common group activities (e.g. social gatherings) or settings (e.g. schools, hospitals, shared workplaces) to understand the drivers of transmission and to inform a risk assessment profile tool for use of rapid antigen detection tests. METHODS We systematically searched electronic databases, MEDLINE and Embase, from January 2019 until February 2022. We included studies that evaluated the risk of SARS-CoV-2 transmission in activities and settings, deemed strategically important to government departments in Ireland, provided by the Department of Health (Ireland) Expert Advisory Group on Rapid Testing. RESULTS After screening 14 052 records, data from 139 studies were narratively synthesized. The risk was consistently reported as 'high' for large social events (e.g. weddings) and indoor sports, working in healthcare settings and shared workplaces, working/living in residential settings and travelling via public transportation. Most studies were from healthcare settings, with common risk factors including close contact with COVID-19 cases, working in high-risk departments and inappropriate use of personal protective equipment. For other settings and activities, lack of infection prevention and control practices reportedly contributed to infection transmission. CONCLUSION The heterogeneity across studies and lack of direct information on dominant variants, preventive measures, vaccination coverage necessitates further research on transmission risk within group activities to inform infection prevention and control measures.
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Affiliation(s)
- Niyati Vyas
- Knowledge Synthesis and Application Unit, School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Alexandria Bennett
- Knowledge Synthesis and Application Unit, School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Nicole Shaver
- Knowledge Synthesis and Application Unit, School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Andrew Beck
- Knowledge Synthesis and Application Unit, School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Gabriele Zitiktye
- Knowledge Synthesis and Application Unit, School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Barbara Whelan
- Evidence Synthesis Ireland & Cochrane Ireland, School of Nursing and Midwifery, University of Galway, Galway, Ireland
| | - Rhea O’Regan
- Evidence Synthesis Ireland & Cochrane Ireland, School of Nursing and Midwifery, University of Galway, Galway, Ireland
| | - Aileen Conway
- Evidence Synthesis Ireland & Cochrane Ireland, School of Nursing and Midwifery, University of Galway, Galway, Ireland
| | - Becky Skidmore
- Independent Information Specialist, Ottawa, Ontario, Canada
| | - David Moher
- Knowledge Synthesis and Application Unit, School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Julian Little
- Knowledge Synthesis and Application Unit, School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
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Kissane DW. Education and assessment of psycho-existential symptoms to prevent suicidality in cancer care. Psychooncology 2024; 33:e5519. [PMID: 33463852 DOI: 10.1002/pon.5519] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Accepted: 08/10/2020] [Indexed: 11/06/2022]
Affiliation(s)
- David W Kissane
- University of Notre Dame Australia and Cunningham Centre for Palliative Care Research, St Vincent's Sydney, Sydney, Australia
- Cabrini Health Psycho-oncology and Palliative Care, Monash University, Melbourne, Australia
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20
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Cameron D, Harrison J, Tripathi S, Hill JE. Pain and diet: A summary of the evidence for the role of diet modification in chronic pain. Br J Pain 2024; 18:82-86. [PMID: 38344269 PMCID: PMC10851886 DOI: 10.1177/20494637231203856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024] Open
Abstract
Chronic pain constitutes a significant burden to patients and healthcare systems. For many patients, the only option is to attempt to manage their pain within their daily lives. Here, we review evidence provided by three systematic reviews for the effect of diet and diet supplements on patients' experience of chronic pain.
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Affiliation(s)
- David Cameron
- Lancashire Teaching Hospitals NHS Trust, Preston, UK
| | - Joanna Harrison
- Synthesis, Economic Evaluation and Decision Science Group (SEEDS), University of Central Lancashire, Preston, UK
| | | | - James Edward Hill
- Synthesis, Economic Evaluation and Decision Science Group (SEEDS), University of Central Lancashire, Preston, UK
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21
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Gupta S, Subhedar NV, Bell JL, Field D, Bowler U, Hutchison E, Johnson S, Kelsall W, Pepperell J, Roberts T, Sinha S, Stanbury K, Wyllie J, Hardy P, Juszczak E. Trial of Selective Early Treatment of Patent Ductus Arteriosus with Ibuprofen. N Engl J Med 2024; 390:314-325. [PMID: 38265644 PMCID: PMC7615774 DOI: 10.1056/nejmoa2305582] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The cyclooxygenase inhibitor ibuprofen may be used to treat patent ductus arteriosus (PDA) in preterm infants. Whether selective early treatment of large PDAs with ibuprofen would improve short-term outcomes is not known. METHODS We conducted a multicenter, randomized, double-blind, placebo-controlled trial evaluating early treatment (≤72 hours after birth) with ibuprofen for a large PDA (diameter of ≥1.5 mm with pulsatile flow) in extremely preterm infants (born between 23 weeks 0 days' and 28 weeks 6 days' gestation). The primary outcome was a composite of death or moderate or severe bronchopulmonary dysplasia evaluated at 36 weeks of postmenstrual age. RESULTS A total of 326 infants were assigned to receive ibuprofen and 327 to receive placebo; 324 and 322, respectively, had data available for outcome analyses. A primary-outcome event occurred in 220 of 318 infants (69.2%) in the ibuprofen group and 202 of 318 infants (63.5%) in the placebo group (adjusted risk ratio, 1.09; 95% confidence interval [CI], 0.98 to 1.20; P = 0.10). A total of 44 of 323 infants (13.6%) in the ibuprofen group and 33 of 321 infants (10.3%) in the placebo group died (adjusted risk ratio, 1.32; 95% CI, 0.92 to 1.90). Among the infants who survived to 36 weeks of postmenstrual age, moderate or severe bronchopulmonary dysplasia occurred in 176 of 274 (64.2%) in the ibuprofen group and 169 of 285 (59.3%) in the placebo group (adjusted risk ratio, 1.09; 95% CI, 0.96 to 1.23). Two unforeseeable serious adverse events occurred that were possibly related to ibuprofen. CONCLUSIONS The risk of death or moderate or severe bronchopulmonary dysplasia at 36 weeks of postmenstrual age was not significantly lower among infants who received early treatment with ibuprofen than among those who received placebo. (Funded by the National Institute for Health Research Health Technology Assessment Programme; Baby-OSCAR ISRCTN Registry number, ISRCTN84264977.).
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Affiliation(s)
- Samir Gupta
- Division of Neonatology, Sidra Medicine, Doha, Qatar
- Department of Engineering, Durham University, UK
| | | | - Jennifer L. Bell
- National Perinatal Epidemiology Unit Clinical Trials Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - David Field
- The University of Leicester, Department of Health Science, University Road, George Davies Centre, Leicester, UK
| | - Ursula Bowler
- National Perinatal Epidemiology Unit Clinical Trials Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Elizabeth Hutchison
- National Perinatal Epidemiology Unit Clinical Trials Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Sam Johnson
- The University of Leicester, Department of Health Science, University Road, George Davies Centre, Leicester, UK
| | - Wilf Kelsall
- NICU, Rosie Hospital, Cambridge University Hospital Foundation Trust, Cambridge, UK
| | - Justine Pepperell
- National Perinatal Epidemiology Unit Clinical Trials Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Tracy Roberts
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Sunil Sinha
- South Tees Hospitals NHS Foundation Trust, James Cook University Hospital, Middlesbrough, UK
| | - Kayleigh Stanbury
- National Perinatal Epidemiology Unit Clinical Trials Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Jonathan Wyllie
- South Tees Hospitals NHS Foundation Trust, James Cook University Hospital, Middlesbrough, UK
| | - Pollyanna Hardy
- National Perinatal Epidemiology Unit Clinical Trials Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Edmund Juszczak
- School of Medicine, University of Nottingham, Nottingham, UK
| | - on behalf of the Baby-OSCAR Collaborative Group.
- Division of Neonatology, Sidra Medicine, Doha, Qatar
- Department of Engineering, Durham University, UK
- Liverpool Women’s NHS Foundation Trust, Liverpool, UK
- National Perinatal Epidemiology Unit Clinical Trials Unit, Nuffield Department of Population Health, University of Oxford, UK
- The University of Leicester, Department of Health Science, University Road, George Davies Centre, Leicester, UK
- The University of Leicester, Department of Health Science, University Road, George Davies Centre, Leicester, UK
- NICU, Rosie Hospital, Cambridge University Hospital Foundation Trust, Cambridge, UK
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- South Tees Hospitals NHS Foundation Trust, James Cook University Hospital, Middlesbrough, UK
- School of Medicine, University of Nottingham, Nottingham, UK
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Klonizakis M, Gumber A, McIntosh E, Levesley M, Horspool M, Logan P. Testing the feasibility of a co-designed intervention, comprising self-managed, home-based, exercise training with embedded behavioural support and compression therapy for people with venous leg ulcers receiving treatment at home (FISCU-II). Clin Exp Dermatol 2024; 49:135-142. [PMID: 37819015 DOI: 10.1093/ced/llad342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 09/08/2023] [Accepted: 10/01/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND Venous leg ulcers (VLUs) heal slowly, are painful for patients and are costly for healthcare systems; they also affect patients' quality of life. Previous work suggests that supervised exercise training used in combination with compression therapy may offer clinical benefits. However, a large population of people with VLUs are unable to access such an intervention due to frailty and age. OBJECTIVES To assess the feasibility of 'FISCU Home' (a co-designed, 12-week home-based self-managed lifestyle programme based on exercise and behaviour support) as an adjunct therapy to compression in people with VLUs. METHODS Forty people with VLUs, receiving treatment at home, were recruited from community nursing and tissue viability teams, and via a newspaper advertisement. Participants were randomized 1 : 1 either to exercise with behaviour support (three times per week) plus compression therapy or compression only. The feasibility of the programme was assessed using progression criteria that included exercise attendance rate, loss to follow-up, patient preference(s) and adverse events (AEs). Baseline assessments were repeated at 12 weeks and 6 months. Secondary outcomes (i.e. ulcer recurrence, healing rate and healing time) were also documented at these intervals. Intervention and healthcare utilization costs were calculated. RESULTS The study recruitment rate was 65%, while 75% of the exercise group participants attended all scheduled exercise sessions. All participants completed compression therapy. No serious AEs or exercise-related AEs were reported. Median (interquartile range) ulcer healing time was shorter in the exercise group [29 (7-108) vs. 42 (6-116) weeks]. CONCLUSIONS The feasibility and acceptability of both a home- and exercise-based lifestyle intervention in conjunction with compression therapy and the study procedures are supported.
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Affiliation(s)
- Markos Klonizakis
- Lifestyle, Exercise and Nutrition Improvement (LENI) Research Group, Department of Nursing and Midwifery, Sheffield Hallam University, Sheffield, UK
| | - Anil Gumber
- Lifestyle, Exercise and Nutrition Improvement (LENI) Research Group, Department of Nursing and Midwifery, Sheffield Hallam University, Sheffield, UK
| | - Emma McIntosh
- Lifestyle, Exercise and Nutrition Improvement (LENI) Research Group, Department of Nursing and Midwifery, Sheffield Hallam University, Sheffield, UK
- Research and Innovation, Sheffield Health and Social Care NHS Foundation Trust, Sheffield, UK
| | - Maria Levesley
- Integrated Care Team, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Michelle Horspool
- Research and Innovation, Sheffield Health and Social Care NHS Foundation Trust, Sheffield, UK
| | - Pip Logan
- Centre for Rehabilitation and Ageing Research, University of Nottingham, Nottingham, UK
- Nottingham CityCare Partnership, Nottingham, UK
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Jones CP, Lawlor ER, Forde H, van Tulleken DRZ, Cummins S, Adams J, Smith R, Rayner M, Rutter H, Penney TL, Alliot O, Armitage S, White M. Parliamentary reaction to the announcement and implementation of the UK Soft Drinks Industry Levy: applied thematic analysis of 2016-2020 parliamentary debates. Public Health Nutr 2024; 27:e51. [PMID: 38263748 PMCID: PMC7615650 DOI: 10.1017/s1368980024000247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
OBJECTIVE The UK Soft Drinks Industry Levy (SDIL) (announced in March 2016; implemented in April 2018) aims to incentivise reformulation of soft drinks to reduce added sugar levels. The SDIL has been applauded as a policy success, and it has survived calls from parliamentarians for it to be repealed. We aimed to explore parliamentary reaction to the SDIL following its announcement until two years post-implementation in order to understand how health policy can become established and resilient to opposition. DESIGN Searches of Hansard for parliamentary debate transcripts that discussed the SDIL retrieved 186 transcripts, with 160 included after screening. Five stages of Applied Thematic Analysis were conducted: familiarisation and creation of initial codebooks; independent second coding; codebook finalisation through team consensus; final coding of the dataset to the complete codebook; and theme finalisation through team consensus. SETTING The United Kingdom Parliament. PARTICIPANTS N/A. RESULTS Between the announcement (16/03/2016) - royal assent (26/04/2017), two themes were identified 1: SDIL welcomed cross-party 2: SDIL a good start but not enough. Between royal assent - implementation (5/04/2018), one theme was identified 3: The SDIL worked - what next? The final theme identified from implementation until 16/03/2020 was 4: Moving on from the SDIL. CONCLUSIONS After the announcement, the SDIL had cross-party support and was recognised to have encouraged reformulation prior to implementation. Lessons for governments indicate that the combination of cross-party support and a policy's documented success in achieving its aim can help cement the resilience of it to opposition and threats of repeal.
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Affiliation(s)
- Catrin P Jones
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Emma R Lawlor
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Hannah Forde
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, United Kingdom
| | | | - Steven Cummins
- Population Health Innovation Lab, Department of Public Health, Environments & Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, United Kingdom
| | - Jean Adams
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Richard Smith
- Faculty of Health and Life Sciences, University of Exeter, United Kingdom
| | - Mike Rayner
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Harry Rutter
- Department of Social and Policy Sciences, University of Bath, United Kingdom
| | - Tarra L. Penney
- Global Food System and Policy Research, School of Global Health, Faculty of Health, York University, Canada
| | - Olivia Alliot
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Sofie Armitage
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Martin White
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, United Kingdom
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Brettschneider J, Morrison B, Jenkinson D, Freeman K, Walton J, Sitch A, Hudson S, Kearins O, Mansbridge A, Pinder SE, Given-Wilson R, Wilkinson L, Wallis MG, Cheung S, Taylor-Phillips S. Development and quality appraisal of a new English breast screening linked data set as part of the age, test threshold, and frequency of mammography screening (ATHENA-M) study. Br J Radiol 2024; 97:98-112. [PMID: 38263823 PMCID: PMC11027252 DOI: 10.1093/bjr/tqad023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/10/2023] [Accepted: 10/24/2023] [Indexed: 01/25/2024] Open
Abstract
OBJECTIVES To build a data set capturing the whole breast cancer screening journey from individual breast cancer screening records to outcomes and assess data quality. METHODS Routine screening records (invitation, attendance, test results) from all 79 English NHS breast screening centres between January 1, 1988 and March 31, 2018 were linked to cancer registry (cancer characteristics and treatment) and national mortality data. Data quality was assessed using comparability, validity, timeliness, and completeness. RESULTS Screening records were extracted from 76/79 English breast screening centres, 3/79 were not possible due to software issues. Data linkage was successful from 1997 after introduction of a universal identifier for women (NHS number). Prior to 1997 outcome data are incomplete due to linkage issues, reducing validity. Between January 1, 1997 and March 31, 2018, a total of 11 262 730 women were offered screening of whom 9 371 973 attended at least one appointment, with 139 million person-years of follow-up (a median of 12.4 person years for each woman included) with 73 810 breast cancer deaths and 1 111 139 any-cause deaths. Comparability to reference data sets and internal validity were demonstrated. Data completeness was high for core screening variables (>99%) and main cancer outcomes (>95%). CONCLUSIONS The ATHENA-M project has created a large high-quality and representative data set of individual women's screening trajectories and outcomes in England from 1997 to 2018, data before 1997 are lower quality. ADVANCES IN KNOWLEDGE This is the most complete data set of English breast screening records and outcomes constructed to date, which can be used to evaluate and optimize screening.
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Affiliation(s)
- Julia Brettschneider
- Department of Statistics, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - Breanna Morrison
- University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom
| | - David Jenkinson
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - Karoline Freeman
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - Jackie Walton
- Screening Quality Assurance Service, NHS England, Birmingham, B2 4BH, United Kingdom
| | - Alice Sitch
- University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom
| | - Sue Hudson
- Peel & Schriek Consulting Ltd, London, NW3 4QG, United Kingdom
| | - Olive Kearins
- Screening Quality Assurance Service, NHS England, Birmingham, B2 4BH, United Kingdom
| | - Alice Mansbridge
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - Sarah E Pinder
- School of Cancer & Pharmaceutical Sciences, King's College London, London, WC2R 2LS, United Kingdom
- Comprehensive Cancer Centre at Guy's Hospital, Guy's and St Thomas' NHS Foundation Trust, London, SE1 9RT, United Kingdom
| | - Rosalind Given-Wilson
- St George's University Hospitals NHS Foundation Trust, London, SW17 0QT, United Kingdom
| | - Louise Wilkinson
- Oxford Breast Imaging Centre, Churchill Hospital, Oxford, OX3 7LE, United Kingdom
| | - Matthew G Wallis
- Cambridge Breast Unit and NIHR Cambridge Biomedical Research Centre, Cambridge University Hospitals NHS Trust, Cambridge, CB2 0QQ, United Kingdom
| | - Shan Cheung
- Screening Quality Assurance Service, NHS England, Birmingham, B2 4BH, United Kingdom
| | - Sian Taylor-Phillips
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, United Kingdom
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25
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Boen R, Kaufmann T, van der Meer D, Frei O, Agartz I, Ames D, Andersson M, Armstrong NJ, Artiges E, Atkins JR, Bauer J, Benedetti F, Boomsma DI, Brodaty H, Brosch K, Buckner RL, Cairns MJ, Calhoun V, Caspers S, Cichon S, Corvin AP, Crespo-Facorro B, Dannlowski U, David FS, de Geus EJC, de Zubicaray GI, Desrivières S, Doherty JL, Donohoe G, Ehrlich S, Eising E, Espeseth T, Fisher SE, Forstner AJ, Fortaner-Uyà L, Frouin V, Fukunaga M, Ge T, Glahn DC, Goltermann J, Grabe HJ, Green MJ, Groenewold NA, Grotegerd D, Grøntvedt GR, Hahn T, Hashimoto R, Hehir-Kwa JY, Henskens FA, Holmes AJ, Håberg AK, Haavik J, Jacquemont S, Jansen A, Jockwitz C, Jönsson EG, Kikuchi M, Kircher T, Kumar K, Le Hellard S, Leu C, Linden DE, Liu J, Loughnan R, Mather KA, McMahon KL, McRae AF, Medland SE, Meinert S, Moreau CA, Morris DW, Mowry BJ, Mühleisen TW, Nenadić I, Nöthen MM, Nyberg L, Ophoff RA, Owen MJ, Pantelis C, Paolini M, Paus T, Pausova Z, Persson K, Quidé Y, Marques TR, Sachdev PS, Sando SB, Schall U, Scott RJ, Selbæk G, Shumskaya E, Silva AI, Sisodiya SM, Stein F, Stein DJ, Straube B, Streit F, Strike LT, Teumer A, Teutenberg L, Thalamuthu A, Tooney PA, Tordesillas-Gutierrez D, Trollor JN, van 't Ent D, van den Bree MBM, van Haren NEM, Vázquez-Bourgon J, Völzke H, Wen W, Wittfeld K, Ching CRK, Westlye LT, Thompson PM, Bearden CE, Selmer KK, Alnæs D, Andreassen OA, Sønderby IE. Beyond the Global Brain Differences: Intraindividual Variability Differences in 1q21.1 Distal and 15q11.2 BP1-BP2 Deletion Carriers. Biol Psychiatry 2024; 95:147-160. [PMID: 37661008 PMCID: PMC7615370 DOI: 10.1016/j.biopsych.2023.08.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 07/25/2023] [Accepted: 08/21/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Carriers of the 1q21.1 distal and 15q11.2 BP1-BP2 copy number variants exhibit regional and global brain differences compared with noncarriers. However, interpreting regional differences is challenging if a global difference drives the regional brain differences. Intraindividual variability measures can be used to test for regional differences beyond global differences in brain structure. METHODS Magnetic resonance imaging data were used to obtain regional brain values for 1q21.1 distal deletion (n = 30) and duplication (n = 27) and 15q11.2 BP1-BP2 deletion (n = 170) and duplication (n = 243) carriers and matched noncarriers (n = 2350). Regional intra-deviation scores, i.e., the standardized difference between an individual's regional difference and global difference, were used to test for regional differences that diverge from the global difference. RESULTS For the 1q21.1 distal deletion carriers, cortical surface area for regions in the medial visual cortex, posterior cingulate, and temporal pole differed less and regions in the prefrontal and superior temporal cortex differed more than the global difference in cortical surface area. For the 15q11.2 BP1-BP2 deletion carriers, cortical thickness in regions in the medial visual cortex, auditory cortex, and temporal pole differed less and the prefrontal and somatosensory cortex differed more than the global difference in cortical thickness. CONCLUSIONS We find evidence for regional effects beyond differences in global brain measures in 1q21.1 distal and 15q11.2 BP1-BP2 copy number variants. The results provide new insight into brain profiling of the 1q21.1 distal and 15q11.2 BP1-BP2 copy number variants, with the potential to increase understanding of the mechanisms involved in altered neurodevelopment.
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Affiliation(s)
- Rune Boen
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Tobias Kaufmann
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Germany; German Center for Mental Health (DZPG), partner site Tübingen, Tübingen, Germany
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Oleksandr Frei
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Clinical Research, Diakonhjemmet Hospital, Oslo, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm, Sweden
| | - David Ames
- University of Melbourne Academic Unit for Psychiatry of Old Age, St George's Hospital, Kew, Victoria, Australia; National Ageing Research Institute, Parkville, Victoria, Australia
| | - Micael Andersson
- Department of Integrative Medical Biology and Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Nicola J Armstrong
- Department of Mathematics and Statistics, Curtin University, Perth, Western Australia, Australia
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale U1299, École Normale Supérieure Paris-Saclay, Université Paris Saclay, Gif-sur-Yvette, France; Établissement public de santé (EPS) Barthélemy Durand, Etampes, France
| | - Joshua R Atkins
- School of Biomedical Sciences and Pharmacy, College of Medicine, Health and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia; Precision Medicine Research Program, Hunter Medical Research Institute, Newcastle, New South Wales, Australia; Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jochen Bauer
- University Clinic for Radiology, University of Münster, Münster, Germany
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy; Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele Scientific Institute, Milan, Italy
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Randy L Buckner
- Department of Psychology and Center for Brain Science, Harvard University, Cambridge, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Murray J Cairns
- School of Biomedical Sciences and Pharmacy, College of Medicine, Health and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia; Precision Medicine Research Program, Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Vince Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University/Georgia Institute of Technology/Emory University, Atlanta, Georgia
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Sven Cichon
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Department of Biomedicine, University of Basel, Basel, Switzerland; University Hospital Basel, Institute of Medical Genetics and Pathology, Basel, Switzerland
| | - Aiden P Corvin
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - Benedicto Crespo-Facorro
- Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/Centro superior de investigaciones científicas (CSIC), Sevilla, Spain; Centro de Investigación Biomédica en Red Salud Mental, Sevilla, Spain; Department of Psychiatry, University of Sevilla, Sevilla, Spain
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Friederike S David
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Eco J C de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Greig I de Zubicaray
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Sylvane Desrivières
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Joanne L Doherty
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom; Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom
| | - Gary Donohoe
- School of Psychology and Center for Neuroimaging, Cognition and Genomics, University of Galway, Galway, Ireland
| | - Stefan Ehrlich
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Else Eising
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Thomas Espeseth
- Department of Psychology, University of Oslo, Oslo, Norway; Department of Psychology, Oslo New University College, Oslo, Norway
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Andreas J Forstner
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Lidia Fortaner-Uyà
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy; Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele Scientific Institute, Milan, Italy
| | - Vincent Frouin
- Neurospin, Commissariat a l'Energie Atomique (CEA), Université Paris-Saclay, Gif-sur-Yvette, France
| | - Masaki Fukunaga
- Section of Brain Function Information, National Institute for Physiological Sciences, Okazaki, Japan
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - David C Glahn
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Janik Goltermann
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Melissa J Green
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia; Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Nynke A Groenewold
- Department of Psychiatry and Mental Health, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Gøril Rolfseng Grøntvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway; Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Jayne Y Hehir-Kwa
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Frans A Henskens
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia; Priority Research Centre for Health Behaviour, University of Newcastle, Newcastle, New South Wales, Australia
| | - Avram J Holmes
- Department of Psychiatry, Rutgers University, New Brunswick, New Jersey; Brain Health Institute, Rutgers University, Piscataway, New Jersey
| | - Asta K Håberg
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway; Department of Radiology and Nuclear Medicine, St. Olav's Hospital, Trondheim, Norway
| | - Jan Haavik
- Department of Biomedicine, University of Bergen, Bergen, Norway; Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Sebastien Jacquemont
- Sainte Justine Hospital Research Center, Montreal, Quebec, Canada; Department of Pediatrics, University of Montreal, Montreal, Quebec, Canada
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Core-Facility Brainimaging and Department of Psychiatry, Faculty of Medicine, Philipps-University Marburg, Marburg, Germany
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Erik G Jönsson
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
| | - Masataka Kikuchi
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan; Department of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, Chiba, Japan
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Kuldeep Kumar
- Sainte Justine Hospital Research Center, Montreal, Quebec, Canada
| | - Stephanie Le Hellard
- Norwegian Centre for Mental Disorders Research, Department of Clinical Science, University of Bergen, Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Costin Leu
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom; Department of Neurology, McGovern Medical School, UTHealth Houston, Houston, Texas
| | - David E Linden
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, United Kingdom; School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Jingyu Liu
- Department of Computer Science and Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Atlanta, Georgia
| | - Robert Loughnan
- Department of Cognitive Science and Population Neuroscience and Genetics Lab, University of California San Diego, La Jolla, California
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Katie L McMahon
- School of Clinical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Allan F McRae
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Sarah E Medland
- Psychiatric Genetics, Queensland Institute of Medical Research (QIMR) Berghofer Medical Research Institute, Brisbane, Queensland, Australia; University of Queensland, Brisbane, Queensland, Australia; Queensland University of Technology, Brisbane, Queensland, Australia
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany; Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Clara A Moreau
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, California
| | - Derek W Morris
- Centre for Neuroimaging, Cognition and Genomics, School of Biological and Chemical Sciences, University of Galway, Galway, Ireland
| | - Bryan J Mowry
- Queensland Brain Institute and Queensland Centre for Mental Health Research, University of Queensland, Brisbane, Queensland, Australia
| | - Thomas W Mühleisen
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Lars Nyberg
- Departments of Radiation Sciences, Integrative Medical Biology and Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Roel A Ophoff
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, the Netherlands; Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California Los Angeles, Los Angeles, California
| | - Michael J Owen
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom; Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Carlton South, Victoria, Australia; Western Centre for Health Research and Education, Sunshine Hospital, St Albans, Victoria, Australia
| | - Marco Paolini
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy; Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele Scientific Institute, Milan, Italy
| | - Tomas Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Sainte Justine Hospital Research Center, University of Montreal, Montreal, Quebec, Canada; Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Zdenka Pausova
- The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Karin Persson
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway; Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
| | - Yann Quidé
- Neuroscience Research Australia, Sydney, New South Wales, Australia; School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
| | - Tiago Reis Marques
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia; Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Sigrid B Sando
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway; Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
| | - Ulrich Schall
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy, College of Medicine, Health and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia; Division of Molecular Medicine, New South Wales Health Pathology, Newcastle, New South Wales, Australia
| | - Geir Selbæk
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway; Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway; Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Elena Shumskaya
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ana I Silva
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, United Kingdom
| | - Sanjay M Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom; Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Dan J Stein
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Benjamin Straube
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Lachlan T Strike
- Psychiatric Genetics, Queensland Institute of Medical Research (QIMR) Berghofer Medical Research Institute, Brisbane, Queensland, Australia; School of Psychology and Counselling, Faculty of Health, Queensland University of Technology, Brisbane, Australia
| | - Alexander Teumer
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research, Greifswald, Germany
| | - Lea Teutenberg
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Paul A Tooney
- School of Biomedical Sciences and Pharmacy, College of Medicine, Health and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Diana Tordesillas-Gutierrez
- Instituto de Física de Cantabria UC-CSIC, Santander, Spain; Department of Radiology, Marqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute, Instituto de Investigación Sanitaria Valdecilla, Santander, Spain
| | - Julian N Trollor
- Department of Developmental Disability Neuropsychiatry and Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Dennis van 't Ent
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Marianne B M van den Bree
- Institute of Psychological Medicine and Clinical Neurosciences and Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom; Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Neeltje E M van Haren
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Rotterdam, the Netherlands; Department of Psychiatry, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Javier Vázquez-Bourgon
- Centro de Investigación Biomédica en Red Salud Mental, Sevilla, Spain; Department of Psychiatry, University Hospital Maqués de Valdecilla, Instituto de Investigación Sanitaria Valdecilla, Santander, Spain; Departamento de Medicina y Psiquiatría, Universidad de Cantabria, Santander, Spain
| | - Henry Völzke
- German Centre for Cardiovascular Research, Greifswald, Germany; Greifswald University Hospital, Greifswald, Germany
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, California
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, California
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California Los Angeles, Los Angeles, California
| | - Kaja K Selmer
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital and the University of Oslo, Oslo, Norway
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Kristiania University College, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Ida E Sønderby
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
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Lu HY, Ding X, Hirst JE, Yang Y, Yang J, Mackillop L, Clifton DA. Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes. IEEE Rev Biomed Eng 2024; 17:98-117. [PMID: 37022834 PMCID: PMC7615520 DOI: 10.1109/rbme.2023.3242261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Innovations in digital health and machine learning are changing the path of clinical health and care. People from different geographical locations and cultural backgrounds can benefit from the mobility of wearable devices and smartphones to monitor their health ubiquitously. This paper focuses on reviewing the digital health and machine learning technologies used in gestational diabetes - a subtype of diabetes that occurs during pregnancy. This paper reviews sensor technologies used in blood glucose monitoring devices, digital health innovations and machine learning models for gestational diabetes monitoring and management, in clinical and commercial settings, and discusses future directions. Despite one in six mothers having gestational diabetes, digital health applications were underdeveloped, especially the techniques that can be deployed in clinical practice. There is an urgent need to (1) develop clinically interpretable machine learning methods for patients with gestational diabetes, assisting health professionals with treatment, monitoring, and risk stratification before, during and after their pregnancies; (2) adapt and develop clinically-proven devices for patient self-management of health and well-being at home settings ("virtual ward" and virtual consultation), thereby improving clinical outcomes by facilitating timely intervention; and (3) ensure innovations are affordable and sustainable for all women with different socioeconomic backgrounds and clinical resources.
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Gray J, McCarthy A, Samarakoon D, McMeekin P, Sharples L, Sastry P, Crawshaw P, Bicknell C. Costs of endovascular and open repair of thoracic aortic aneurysms. Br J Surg 2024; 111:znad378. [PMID: 38091972 PMCID: PMC10763539 DOI: 10.1093/bjs/znad378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 10/17/2023] [Accepted: 10/21/2023] [Indexed: 01/04/2024]
Abstract
BACKGROUND Repair of thoracic aortic aneurysms with either endovascular repair (TEVAR) or open surgical repair (OSR) represents major surgery, is costly and associated with significant complications. The aim of this study was to establish accurate costs of delivering TEVAR and OSR in a cohort of UK NHS patients suitable for open and endovascular treatment for the whole treatment pathway from admission and to discharge and 12-month follow-up. METHODS A prospective study of UK NHS patients from 30 NHS vascular/cardiothoracic units in England aged ≥18, with distal arch/descending thoracic aortic aneurysms (CTAA) was undertaken. A multicentre prospective cost analysis of patients (recruited March 2014-July 2018, follow-up until July 2019) undergoing TEVAR or OSR was performed. Patients deemed suitable for open or endovascular repair were included in this study. A micro-costing approach was adopted. RESULTS Some 115 patients having undergone TEVAR and 35 patients with OSR were identified. The mean (s.d.) cost of a TEVAR procedure was higher £26 536 (£9877) versus OSR £17 239 (£8043). Postoperative costs until discharge were lower for TEVAR £7484 (£7848) versus OSR £28 636 (£23 083). Therefore, total NHS costs from admission to discharge were lower for TEVAR £34 020 (£14 301), versus OSR £45 875 (£43 023). However, mean NHS costs for 12 months following the procedure were slightly higher for the TEVAR £5206 (£11 585) versus OSR £5039 (£11 994). CONCLUSIONS Surgical procedure costs were higher for TEVAR due to device costs. Total in-hospital costs were higher for OSR due to longer hospital and critical care stay. Follow-up costs over 12 months were slightly higher for TEVAR due to hospital readmissions.
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Affiliation(s)
- Joanne Gray
- Faculty of Health and Life Sciences, Northumbria University, Newcastle Upon Tyne, UK
| | - Andrew McCarthy
- Faculty of Health and Life Sciences, Northumbria University, Newcastle Upon Tyne, UK
| | - Dilupa Samarakoon
- Faculty of Health and Life Sciences, Northumbria University, Newcastle Upon Tyne, UK
| | - Peter McMeekin
- Faculty of Health and Life Sciences, Northumbria University, Newcastle Upon Tyne, UK
| | - Linda Sharples
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Priya Sastry
- Department of Cardiac Surgery, John Radcliffe Hospital, Oxford University Hospitals, Oxford, UK
| | - Paul Crawshaw
- School of Social Sciences, Humanities and Law, Teesside University, Middlesbrough, UK
| | - Colin Bicknell
- Department of Surgery and Cancer, Imperial College, London, UK
- Imperial Vascular Unit, Imperial Healthcare NHS Trust, London, UK
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Schoenfeld MJ, Thom J, Williams J, Stagg CJ, Zich C. Relationship between skill training and skill transfer through the example of bimanual motor learning. Eur J Neurosci 2024; 59:54-68. [PMID: 38081160 PMCID: PMC7615689 DOI: 10.1111/ejn.16194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 09/07/2023] [Accepted: 11/01/2023] [Indexed: 01/12/2024]
Abstract
Skill training aims to improve the performance of the task at hand and aims to transfer the acquired skill to related tasks. Both skill training and skill transfer are part of our everyday lives, and essential for survival, and their importance is reflected in years of research. Despite these enormous efforts, however, the complex relationship between skill training and skill transfer is not yet portrayed completely. Building upon two theories, we probed this relationship through the example of bimanual learning with a large cross-sectional design (N = 450) using an online framework. We designed five training tasks which differed in the variance of the training material (schema theory) and three transfer tasks differing in their similarity to the training task (identical elements theory). Theoretically, the five training tasks and the three transfer tasks varied approximately linearly from each other. Empirical data, however, suggested merely the presence of three statistically different training tasks and two significantly different transfer tasks, indicating a nonlinear relationship. Against our expectation, Bayesian statistics suggested that the type of skill training was not related to the type of skill transfer. However, the amount of skill training was positively related to the amount of skill transfer. Together, we showed that motor learning studies can be conducted online. Further, our results shed light on the complex relationship between skill training and skill transfer. Understanding this relationship has wide-ranging practical implications for the general population, particularly for musicians, athletes and patients recovering from injury.
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Affiliation(s)
- Marleen J. Schoenfeld
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical NeurosciencesUniversity of OxfordUK
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical NeuroscienceUniversity of OxfordUK
| | - Jude Thom
- Department of Experimental PsychologyUniversity of OxfordUK
| | | | - Charlotte J. Stagg
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical NeurosciencesUniversity of OxfordUK
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical NeuroscienceUniversity of OxfordUK
| | - Catharina Zich
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical NeurosciencesUniversity of OxfordUK
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical NeuroscienceUniversity of OxfordUK
- Department for Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUK
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Hardy RC, Glastonbury K, Onie S, Josifovski N, Theobald A, Larsen ME. Attitudes among the Australian public toward AI and CCTV in suicide prevention research: A mixed methods study. Am Psychol 2024; 79:65-78. [PMID: 38236216 DOI: 10.1037/amp0001215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Research is underway exploring the use of closed-circuit television (CCTV) cameras and artificial intelligence (AI) for suicide prevention research in public locations where suicides occur. Given the sensitive nature and potential implications of this research, this study explored ethical concerns the public may have about research of this nature. Developed based on the principle of respect, a survey was administered to a representative sample of 1,096 Australians to understand perspectives on the research. The sample was aged 18 and older, 53% female, and 9% ethnic minority. Following an explanatory mixed methods approach, interviews and a focus group were conducted with people with a lived experience of suicide and first responders to contextualize the findings. There were broad levels of acceptance among the Australian public. Younger respondents, females, and those declining to state their ethnicity had lower levels of acceptance of CCTV research using AI for suicide prevention. Those with lived experience of suicide had higher acceptance. Qualitative data indicated concern regarding racial bias in AI and police response to suicidal crises and the need for lived experience involvement in the development and implementation of any resulting interventions. Broad public acceptance of the research aligns with the principle of respect for persons. Beneficence emerged in the context of findings emphasizing the importance of meaningfully including people with lived experience in the development and implementation of interventions resulting from this research, while justice emerged in themes expressing concerns about racial bias in AI and police response to mental health crises. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Constantinescu AE, Bull CJ, Jones N, Mitchell R, Burrows K, Dimou N, Bézieau S, Brenner H, Buchanan DD, D’Amato M, Jenkins MA, Moreno V, Pai RK, Um CY, White E, Murphy N, Gunter M, Timpson NJ, Huyghe JR, Vincent EE. Circulating white blood cell traits and colorectal cancer risk: A Mendelian randomisation study. Int J Cancer 2024; 154:94-103. [PMID: 37578112 PMCID: PMC10864681 DOI: 10.1002/ijc.34691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 07/06/2023] [Accepted: 07/17/2023] [Indexed: 08/15/2023]
Abstract
Observational studies have suggested a protective role for eosinophils in colorectal cancer (CRC) development and implicated neutrophils, but the causal relationships remain unclear. Here, we aimed to estimate the causal effect of circulating white blood cell (WBC) counts (N = ~550 000) for basophils, eosinophils, monocytes, lymphocytes and neutrophils on CRC risk (N = 52 775 cases and 45 940 controls) using Mendelian randomisation (MR). For comparison, we also examined this relationship using individual-level data from UK Biobank (4043 incident CRC cases and 332 773 controls) in a longitudinal cohort analysis. The inverse-variance weighted (IVW) MR analysis suggested a protective effect of increased basophil count and eosinophil count on CRC risk [OR per 1-SD increase: 0.88, 95% CI: 0.78-0.99, P = .04; OR: 0.93, 95% CI: 0.88-0.98, P = .01]. The protective effect of eosinophils remained [OR per 1-SD increase: 0.88, 95% CI: 0.80-0.97, P = .01] following adjustments for all other WBC subtypes, to account for genetic correlation between the traits, using multivariable MR. A protective effect of increased lymphocyte count on CRC risk was also found [OR: 0.84, 95% CI: 0.76-0.93, P = 6.70e-4] following adjustment. Consistent with MR results, a protective effect for eosinophils in the cohort analysis in the fully adjusted model [RR per 1-SD increase: 0.96, 95% CI: 0.93-0.99, P = .02] and following adjustment for the other WBC subtypes [RR: 0.96, 95% CI: 0.93-0.99, P = .001] was observed. Our study implicates peripheral blood immune cells, in particular eosinophils and lymphocytes, in CRC development, highlighting a need for mechanistic studies to interrogate these relationships.
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Affiliation(s)
- Andrei-Emil Constantinescu
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
- School of Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Caroline J Bull
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
- School of Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Nicholas Jones
- Institute of Life Science, Swansea University Medical School, Swansea, United Kingdom
| | - Ruth Mitchell
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Kimberley Burrows
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria 3010 Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria 3010 Australia
- Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Mauro D’Amato
- Department of Medicine and Surgery, LUM University, Casamassima, Italy
- Gastrointestinal Genetics Lab, CIC bioGUNE - BRTA, Derio, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, Arizona, USA
| | - Caroline Y Um
- Department of Population Science, American Cancer Society, Atlanta, Georgia, USA
| | - Emily White
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Marc Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Emma E Vincent
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
- School of Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
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Beyer T, Martins T, Srikaran JJ, Seda M, Peskett E, Klose F, Junger K, Beales PL, Ueffing M, Boldt K, Jenkins D. Affinity Purification of Intraflagellar Transport (IFT) Proteins in Mice Using Endogenous Streptavidin/FLAG Tags. Methods Mol Biol 2024; 2725:199-212. [PMID: 37856026 DOI: 10.1007/978-1-0716-3507-0_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2023]
Abstract
Biological complexity is achieved through elaborate interactions between relatively few individual components. Affinity purification (AP) has allowed these networks of protein-protein interactions that regulate key biological processes to be interrogated systematically. In order to perform these studies at the required scale, easily transfectable immortalized cell lines have typically been used. Gene-editing now affords the systematic creation of isogenic mouse models carrying endogenous tags for affinity proteomics. This may allow protein-protein interactions to be characterized in the appropriate tissue for a particular biological process or disease phenotype under physiological conditions, and for interaction landscapes to be compared across tissues. Here we demonstrate application to intraflagellar transport (IFT) proteins, which are WD40-domain-containing proteins that are essential for the formation and function of all types of cilia. We describe a method to generate mice with an endogenous C-terminal streptavidin/FLAG tag, using Ift80 as an example, and demonstrate the successful implementation of AP in this model. This method can easily be adapted for N- and C-terminal tagging of many other proteins in vivo.
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Affiliation(s)
- Tina Beyer
- Institute for Ophthalmic Research, Center for Ophthalmology, University of Tübingen, Tübingen, Germany
| | - Tiago Martins
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | | | - Marian Seda
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Emma Peskett
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Franziska Klose
- Institute for Ophthalmic Research, Center for Ophthalmology, University of Tübingen, Tübingen, Germany
| | - Katrin Junger
- Institute for Ophthalmic Research, Center for Ophthalmology, University of Tübingen, Tübingen, Germany
| | - Philip L Beales
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Marius Ueffing
- Institute for Ophthalmic Research, Center for Ophthalmology, University of Tübingen, Tübingen, Germany
| | - Karsten Boldt
- Institute for Ophthalmic Research, Center for Ophthalmology, University of Tübingen, Tübingen, Germany
| | - Dagan Jenkins
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK.
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Chan WWY, Shum KKM, Downs J, Sonuga-Barke EJS. An experimental task to measure preschool children's frustration induced by having to wait unexpectedly: The role of sensitivity to delay and culture. J Exp Child Psychol 2024; 237:105763. [PMID: 37647841 DOI: 10.1016/j.jecp.2023.105763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 06/26/2023] [Accepted: 08/07/2023] [Indexed: 09/01/2023]
Abstract
The ability to manage frustration induced by having to wait for valued outcomes emerges across childhood and is an important marker of self-regulatory capacity. However, approaches to measure this capacity in preschool children are lacking. In this study, we introduced a new task, the Preschool Delay Frustration Task (P-DeFT), designed specifically to identify children's behavioral and emotional markers of waiting-induced frustration during the imposed wait period and after the release from waiting. We then explored how waiting-induced frustration relates to individual differences in delay sensitivity and whether it differs between two cultural groups thought to have different attitudes toward children's conduct and performance: Hong Kong (HK) and the United Kingdom (UK). A total of 112 preschool children (mean age = 46.22 months) completed the P-DeFT in a quiet laboratory. Each trial had two stages; first, a button press elicited a Go signal; second, this Go signal allowed children to go to a "supermarket" to pick a target toy. On most trials, the Go signal occurred immediately on the first press. On 6 trials, an unexpected/unsignaled 5- or 10-s pre-Go-signal period was imposed. Frustration was indexed by performance (button presses and press duration), behavioral agitation, and negative affect during the pre-Go-signal wait period and the post-Go-signal shopping task. Parents rated their children's delay sensitivity. Waiting-related frustration expressed during both the pre-Go-signal wait period and the post-Go-signal task varied with (a) the length of wait and (b) individual differences in parent-rated delay sensitivity. UK children displayed more negative affect during delay than their HK counterparts, although the relationship between delay sensitivity and frustration was culturally invariant.
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Affiliation(s)
- Wendy Wing-Ying Chan
- School of Academic Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK; Department of Psychology, The University of Hong Kong, Hong Kong
| | | | - Johnny Downs
- School of Academic Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK
| | - Edmund J S Sonuga-Barke
- School of Academic Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK; Department of Child and Adolescent Psychiatry, Aarhus University, 8000 Aarhus C, Denmark.
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Burgess S, Cronjé HT. Incorporating biological and clinical insights into variant choice for Mendelian randomisation: examples and principles. eGastroenterology 2024; 2:e100042. [PMID: 38362310 PMCID: PMC7615644 DOI: 10.1136/egastro-2023-100042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Mendelian randomisation is an accessible and valuable epidemiological approach to provide insight into the causal nature of relationships between risk factor exposures and disease outcomes. However, if performed without critical thought, we may simply have replaced one set of implausible assumptions (no unmeasured confounding or reverse causation) with another set of implausible assumptions (no pleiotropy or other instrument invalidity). The most critical decision to avoid pleiotropy is which genetic variants to use as instrumental variables. Two broad strategies for instrument selection are a biologically motivated strategy and a genome-wide strategy; in general, a biologically motivated strategy is preferred. In this review, we discuss various ways of implementing a biologically motivated selection strategy: using variants in a coding gene region for the exposure or a gene region that encodes a regulator of exposure levels, using a positive control variable and using a biomarker as the exposure rather than its behavioural proxy. In some cases, a genome-wide analysis can provide important complementary evidence, even when its reliability is questionable. In other cases, a biologically-motivated analysis may not be possible. The choice of genetic variants must be informed by biological and functional considerations where possible, requiring collaboration to combine biological and clinical insights with appropriate statistical methodology.
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Affiliation(s)
- Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Héléne Toinét Cronjé
- Health Analytics, Lane Clark & Peacock LLP, London, UK
- Department of Public Health, Section of Epidemiology, University of Copenhagen, København, Denmark
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Zhao Y, Mbuthia D, Ankomisyani DS, Blacklock C, Gathara D, Molyneux S, Nicodemo C, Okello TR, Rutebemberwa E, Tweheyo R, English M. The influence of internship training experience on Kenyan and Ugandan doctors' career intentions and decisions: a qualitative study. Glob Health Action 2023; 16:2272390. [PMID: 37942513 PMCID: PMC10653699 DOI: 10.1080/16549716.2023.2272390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 10/13/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND Medical internship is a key period for doctors' individual career planning and also a transition period for the broader labour market. OBJECTIVES We aimed to understand the complex set of factors influencing the career intentions and decisions of junior doctors, post-internship in Kenya and Uganda. METHODS We conducted semi-structured interviews with 54 junior medical officers and 14 consultants to understand doctors' internship experiences and subsequent employment experiences. We analysed the data using a mix of a direct content approach, informed by an internship experience and career intentions framework developed primarily from high-income country literature, alongside a more inductive thematic analysis. RESULTS Echoing the internship experience and career intentions framework, we found that clinical exposure during internship, work-life balance, aspects of workplace culture such as relationships with consultants and other team members, and concerns over future job security and professional development all influenced Kenyan and Ugandan doctors' career preferences. Additionally, we added a new category to the framework to reflect our finding that interns might want to 'fill a health system gap' when they choose their future careers, based on what they witness as interns. However, often career intentions did not match career and employment decisions due to specific contextual factors, most importantly a shortage of job opportunities. CONCLUSION We have shown how internship experiences shape medical doctors' career intentions in Kenya and Uganda and highlighted the importance of job availability and context in influencing doctors' career choices.
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Affiliation(s)
- Yingxi Zhao
- NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | - Dos Santos Ankomisyani
- Uganda Virus Research Institute - International AIDS Vaccine Initiative HIV Vaccine Program (UVRI-IAVI), Entebbe, Uganda
| | - Claire Blacklock
- NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - David Gathara
- KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- MARCH Centre, London School of Hygiene and Tropical Medicine, London, UK
| | - Sassy Molyneux
- NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Catia Nicodemo
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Economics, Verona University, Verona, Italy
| | - Tom Richard Okello
- Department of Surgery, Faculty of Medicine, Lira University, Lira, Uganda
| | - Elizeus Rutebemberwa
- Department of Health Policy, Planning and Management, Makerere University School of Public Health, Kampala, Uganda
| | - Raymond Tweheyo
- Department of Health Policy, Planning and Management, Makerere University School of Public Health, Kampala, Uganda
- Centre for Health Systems Research and Development (CHSRD), The University of Free State, Bloemfontein, South Africa
| | - Mike English
- NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
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Allouba M, Walsh R, Afify A, Hosny M, Halawa S, Galal A, Fathy M, Theotokis PI, Boraey A, Ellithy A, Buchan R, Govind R, Whiffin N, Anwer S, ElGuindy A, Ware JS, Barton PJR, Yacoub M, Aguib Y. Ethnicity, consanguinity, and genetic architecture of hypertrophic cardiomyopathy. Eur Heart J 2023; 44:5146-5158. [PMID: 37431535 PMCID: PMC10733735 DOI: 10.1093/eurheartj/ehad372] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 03/28/2023] [Accepted: 05/24/2023] [Indexed: 07/12/2023] Open
Abstract
AIMS Hypertrophic cardiomyopathy (HCM) is characterized by phenotypic heterogeneity that is partly explained by the diversity of genetic variants contributing to disease. Accurate interpretation of these variants constitutes a major challenge for diagnosis and implementing precision medicine, especially in understudied populations. The aim is to define the genetic architecture of HCM in North African cohorts with high consanguinity using ancestry-matched cases and controls. METHODS AND RESULTS Prospective Egyptian patients (n = 514) and controls (n = 400) underwent clinical phenotyping and genetic testing. Rare variants in 13 validated HCM genes were classified according to standard clinical guidelines and compared with a prospective HCM cohort of majority European ancestry (n = 684). A higher prevalence of homozygous variants was observed in Egyptian patients (4.1% vs. 0.1%, P = 2 × 10-7), with variants in the minor HCM genes MYL2, MYL3, and CSRP3 more likely to present in homozygosity than the major genes, suggesting these variants are less penetrant in heterozygosity. Biallelic variants in the recessive HCM gene TRIM63 were detected in 2.1% of patients (five-fold greater than European patients), highlighting the importance of recessive inheritance in consanguineous populations. Finally, rare variants in Egyptian HCM patients were less likely to be classified as (likely) pathogenic compared with Europeans (40.8% vs. 61.6%, P = 1.6 × 10-5) due to the underrepresentation of Middle Eastern populations in current reference resources. This proportion increased to 53.3% after incorporating methods that leverage new ancestry-matched controls presented here. CONCLUSION Studying consanguineous populations reveals novel insights with relevance to genetic testing and our understanding of the genetic architecture of HCM.
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Affiliation(s)
- Mona Allouba
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
| | - Roddy Walsh
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
- Department of Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands
| | - Alaa Afify
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
| | - Mohammed Hosny
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
- Cardiology Department, Kasr Al Aini Medical School, Cairo University, Kasr Al Aini Street, Cairo 11562, Egypt
| | - Sarah Halawa
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
| | - Aya Galal
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
| | - Mariam Fathy
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
| | - Pantazis I Theotokis
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
| | - Ahmed Boraey
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
- Cardiology Department, Kasr Al Aini Medical School, Cairo University, Kasr Al Aini Street, Cairo 11562, Egypt
| | - Amany Ellithy
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
| | - Rachel Buchan
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
- Royal Brompton & Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust, London, Sydney St, London SW3 6NP, UK
| | - Risha Govind
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
- Royal Brompton & Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust, London, Sydney St, London SW3 6NP, UK
- Present affiliation: Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, UK
- Present affiliation: National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Foundation Trust and King's College London, 16 De Crespigny Park, London SE5 8AF, UK
| | - Nicola Whiffin
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
- Royal Brompton & Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust, London, Sydney St, London SW3 6NP, UK
- Present affiliation: Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Dr, Headington, Oxford OX3 7BN, UK
| | - Shehab Anwer
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
| | - Ahmed ElGuindy
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
| | - James S Ware
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
- Royal Brompton & Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust, London, Sydney St, London SW3 6NP, UK
- MRC London Institute of Medical Sciences, Imperial College London, Du Cane Rd, London W12 0NN, UK
| | - Paul J R Barton
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
- Royal Brompton & Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust, London, Sydney St, London SW3 6NP, UK
- MRC London Institute of Medical Sciences, Imperial College London, Du Cane Rd, London W12 0NN, UK
| | - Magdi Yacoub
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
- Harefield Heart Science Centre, Hill End Rd, Harefield, Uxbridge UB9 6JH, UK
| | - Yasmine Aguib
- Aswan Heart Centre, Magdi Yacoub Heart Foundation, Kasr El Haggar Street, Aswan 81512, Egypt
- National Heart and Lung Institute, Imperial College London, London, Guy Scadding Building, Dovehouse St, London SW3 6LY, UK
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Bibbò S, Porcari S, Del Vecchio LE, Severino A, Mullish BH, Ianiro G, Gasbarrini A, Cammarota G. Gut microbiota and immunotherapy of renal cell carcinoma. Hum Vaccin Immunother 2023; 19:2268982. [PMID: 37955340 PMCID: PMC10653624 DOI: 10.1080/21645515.2023.2268982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 10/06/2023] [Indexed: 11/14/2023] Open
Abstract
The gut microbiome has recently been proposed as a key player in cancer development and progression. Several studies have reported that the composition of the gut microbiome plays a role in the response to immune checkpoint inhibitors (ICIs). The gut microbiome modulation has been investigated as a potential therapeutic strategy for cancer, mainly in patients undergoing therapy with ICIs. In particular, modulation through probiotics, FMT or other microbiome-related approaches have proven effective to improve the response to ICIs. In this review, we examine the role of the gut microbiome in enhancing clinical responses to ICIs in the treatment of renal cancer.
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Affiliation(s)
- Stefano Bibbò
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Serena Porcari
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Livio Enrico Del Vecchio
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Andrea Severino
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Benjamin H. Mullish
- Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, St Mary’s Hospital Campus, Imperial College London, London, UK
- Departments of Gastroenterology and Hepatology, St Mary’s Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Gianluca Ianiro
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Antonio Gasbarrini
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Giovanni Cammarota
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
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Larsson SC, Butterworth AS, Burgess S. Mendelian randomization for cardiovascular diseases: principles and applications. Eur Heart J 2023; 44:4913-4924. [PMID: 37935836 PMCID: PMC10719501 DOI: 10.1093/eurheartj/ehad736] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/13/2023] [Accepted: 10/17/2023] [Indexed: 11/09/2023] Open
Abstract
Large-scale genome-wide association studies conducted over the last decade have uncovered numerous genetic variants associated with cardiometabolic traits and risk factors. These discoveries have enabled the Mendelian randomization (MR) design, which uses genetic variation as a natural experiment to improve causal inferences from observational data. By analogy with the random assignment of treatment in randomized controlled trials, the random segregation of genetic alleles when DNA is transmitted from parents to offspring at gamete formation is expected to reduce confounding in genetic associations. Mendelian randomization analyses make a set of assumptions that must hold for valid results. Provided that the assumptions are well justified for the genetic variants that are employed as instrumental variables, MR studies can inform on whether a putative risk factor likely has a causal effect on the disease or not. Mendelian randomization has been increasingly applied over recent years to predict the efficacy and safety of existing and novel drugs targeting cardiovascular risk factors and to explore the repurposing potential of available drugs. This review article describes the principles of the MR design and some applications in cardiovascular epidemiology.
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Affiliation(s)
- Susanna C Larsson
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Papworth Road, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, Cambridge, UK
- Health Data Research UK, Wellcome Genome Campus and University of Cambridge, Hinxton, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
| | - Stephen Burgess
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Papworth Road, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
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Steeg S, Mughal F, Kapur N, Gnani S, Robinson C. Social services utilisation and referrals after seeking help from health services for self-harm: a systematic review and narrative synthesis. BMJ Public Health 2023; 1:e000559. [PMID: 38239434 PMCID: PMC7615544 DOI: 10.1136/bmjph-2023-000559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/22/2024]
Abstract
Objectives Suicide prevention is a major public health challenge. Appropriate aftercare for self-harm is vital due to increased risks of suicide following self-harm. Many antecedents to self-harm involve social factors and there is strong rationale for social services-based self-harm aftercare. We aimed to review evidence for social service utilisation and referrals among people seeking help following self-harm. Design Systematic review with narrative synthesis. Data sources PubMed, PsycINFO, AMED, Social Policy and Practice, EMBASE, Medline, Web of Science, Social Care Online, citation lists of included articles and grey literature. Eligibility criteria Studies of people of any age in contact with health services following self-harm, with study outcomes including referrals to or utilisation of social workers and social services. Data extraction and synthesis Information was extracted from each included study using a proforma and quality was critically assessed by two reviewers. Narrative synthesis was used to review the evidence. Results From a total of 3414 studies retrieved, 10 reports of 7 studies were included. Study quality was generally high to moderate. All studies were based in emergency departments (EDs) and most were UK based. In studies based solely on ED data, low proportions were referred to social services (in most studies, 1%-4%, though it was up to 44% when social workers were involved in ED assessments). In one study using linked data, 15% (62/427) were referred to social services and 21% (466/2,205) attended social services over the subsequent 3-year period. Conclusions Overall, few patients were referred to social services after self-harm. Higher reported referral rates may reflect greater service availability, involvement of social workers in psychosocial assessments or better capture of referral activity. Social services-based and integrated approaches for self-harm aftercare are important future directions for suicide prevention. Improved links between social services and health services for people seeking support after self-harm are recommended.
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Affiliation(s)
- Sarah Steeg
- Centre for Mental Health and Safety, Division of Psychology and Mental Health, University of Manchester, Manchester, UK
- NIHR School for Primary Care Research, University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | | | - Nav Kapur
- Centre for Mental Health and Safety, Division of Psychology and Mental Health, University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- NIHR Greater Manchester Patient Safety Research Collaboration, School of Health Sciences, University of Manchester, Manchester, UK
- Mersey Care NHS Foundation Trust, Liverpool, UK
| | - Shamini Gnani
- Department of Primary Care and Public Health, Imperial College London, London, UK
| | - Catherine Robinson
- Social Care and Society, School of Health Sciences, University of Manchester, Manchester, UK
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Harris RV, Lowers V, Van Der Zande M, Stanley M, Cooke R. Designing complex interventions: A description of the development of an intervention to reduce inequalities in planned dental visiting. Community Dent Oral Epidemiol 2023; 51:1118-1129. [PMID: 36737879 DOI: 10.1111/cdoe.12842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 12/21/2022] [Accepted: 01/04/2023] [Indexed: 02/05/2023]
Abstract
There are multifaceted reasons for a social gradient in planned dental visiting involving various psycho-social variables that interact with each other and the environment. Interventions in this area are therefore inevitably complex interventions. While guidance recommends undertaking theory and modelling work before experimental work is done, there is a shortage of descriptions of how this is done, especially in the field of oral health. OBJECTIVES To describe theory, qualitative and public engagement work, and identification of behaviour change techniques (BCTs) to define features of an opportunistic dental visiting intervention for adult users of urgent dental care services. METHODS A systematic review and synthesis of theory, qualitative and quantitative work, along with expert input, generated a list of psycho-social determinants linked to planned dental visiting intentions. Modelling involved ethnographic work in urgent dental care settings and work with members of the community from the targeted demographic. This enabled verification, in the context of their idiosyncratic expression for the target population in question, of behavioural determinants (BDs) identified in the theory phase. It also facilitated generating intervention material which was infused with the identity of the end user. BDs identified were then mapped to BCTs using an accepted BCT taxonomy and an intervention prototype developed. The prototype then underwent iterative testing with target users before it was ready for a feasibility trial. RESULTS Theory and modelling identified five key intervention focuses: affordable resources (time/ cost), the importance of oral health, trust in dentists, embarrassment of having poor oral health and dental anxiety. Short videos were developed to incorporate role modelling which were well received. Prototype testing resulted in shifting from 'if-then' plans to action planning. CONCLUSIONS Complex intervention development involves an iterative rather than sequential process of combining theory, empirical work and user involvement, of which the article provides an example.
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Affiliation(s)
- Rebecca Vera Harris
- Department of Public Health, Policy and Systems, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Victoria Lowers
- Department of Public Health, Policy and Systems, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Marieke Van Der Zande
- Department of Public Health, Policy and Systems, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Margaret Stanley
- Department of Public Health, Policy and Systems, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Richard Cooke
- School of Health, Science and Wellbeing, Staffordshire University, Stoke on Trent, UK
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40
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Nooka AK, Cohen AD, Lee HC, Badros A, Suvannasankha A, Callander N, Abdallah AO, Trudel S, Chari A, Libby EN, Chaudhry M, Hultcrantz M, Kortüm KM, Popat R, Sborov D, Hakim S, Lewis E, Gorsh B, Bhushan B, McKeown A, Gupta I, Opalinska J, Richardson PG, Lonial S. Single-agent belantamab mafodotin in patients with relapsed/refractory multiple myeloma: Final analysis of the DREAMM-2 trial. Cancer 2023; 129:3746-3760. [PMID: 37622738 DOI: 10.1002/cncr.34987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 06/23/2023] [Accepted: 07/10/2023] [Indexed: 08/26/2023]
Abstract
BACKGROUND Patients with relapsed/refractory multiple myeloma (RRMM) have a high unmet treatment need. Belantamab mafodotin (belamaf), a first-in-class, B-cell maturation antigen-binding antibody-drug conjugate, eliminates myeloma cells through direct cell killing and an anti-myeloma immune response. METHODS DREAMM-2 (NCT03525678) was a phase 2, two-arm, open-label trial in patients with heavily pretreated RRMM who had three or more prior therapies, were refractory to an immunomodulatory agent and a proteasome inhibitor, and refractory or intolerant to an anti-CD38 monoclonal antibody. Belamaf was given at 2.5 or 3.4 mg/kg every 3 weeks. The primary end point was overall response rate (ORR); secondary end points included progression-free survival (PFS), overall survival (OS), safety, ocular symptoms, and health-related quality of life (HRQOL). RESULTS This final analysis (cutoff date, March 31, 2022), N = 223, with median follow-up of 12.5 and 13.8 months, demonstrated an ORR of 32% and 35%, median PFS of 2.8 and 3.9 months, and median OS of 15.3 and 14.0 months in the 2.5 mg/kg and 3.4 mg/kg cohorts, respectively. Median duration of response was 12.5 and 6.2 months. No new safety signals were observed; the most common Grade 3 and 4 adverse events were keratopathy (29% vs. 25%), thrombocytopenia (22% vs. 29%), and anemia (21% vs. 28%). HRQOL outcomes suggest that overall global health status/quality of life, physical and role functioning, and overall disease symptoms were maintained or improved during treatment. CONCLUSIONS This final analysis of DREAMM-2 confirms that in patients with triple-class refractory RRMM, single-agent belamaf results in durable and clinically meaningful responses with a manageable safety profile.
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Affiliation(s)
- Ajay K Nooka
- Winship Cancer Institute, Emory University Hospital, Atlanta, Georgia, USA
| | - Adam D Cohen
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Hans C Lee
- MD Anderson Cancer Center, Houston, Texas, USA
| | - Ashraf Badros
- University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Attaya Suvannasankha
- Indiana University Simon Cancer Center and Roudebush VAMC, Indianapolis, Indiana, USA
| | - Natalie Callander
- Carbone Cancer Center, University of Wisconsin, Madison, Wisconsin, USA
| | | | - Suzanne Trudel
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Ajai Chari
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | - Malin Hultcrantz
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - K Martin Kortüm
- Universitätsklinikum Würzburg, Medizinische Klinik II, Würzburg, Germany
| | - Rakesh Popat
- University College London Hospitals, NHS Foundation Trust, London, UK
| | - Douglas Sborov
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | | | - Eric Lewis
- GSK, Research Triangle Park, North Carolina, USA
| | | | | | | | - Ira Gupta
- GSK, Research Triangle Park, North Carolina, USA
| | | | | | - Sagar Lonial
- Winship Cancer Institute, Emory University Hospital, Atlanta, Georgia, USA
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Camp J, Morris A, Wilde H, Smith P, Rimes KA. Gender- and Sexuality-Minoritised Adolescents in DBT: A Reflexive Thematic Analysis of Minority-Specific Treatment Targets and Experience. Cogn Behav Therap 2023; 16:s1754470x23000326. [PMID: 38125010 PMCID: PMC7615396 DOI: 10.1017/s1754470x23000326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Gender- and sexuality-minoritised (GSM) adolescents are at increased risk of self-harm and suicidal behaviours compared to their cisgender and heterosexual peers. This increased risk is thought to be explained in part by exposure to stigma and societal oppression. Dialectical Behaviour Therapy (DBT) is an evidence-based intervention for self-harm and suicidal behaviour that may have advantages for supporting GSM young people in distress. No study has yet sought to understand what GSM-associated difficulties may be important to consider in DBT for adolescents, or the experiences of GSM young people in a standard DBT programme. Therefore, this study aimed to understand the experiences of GSM young people in DBT and what difficulties and dilemmas associated with their gender and sexuality diversity were thought by them to be important to target in DBT. Qualitative interviews were conducted with 14 GSM young people in a comprehensive DBT programme and were analysed using Reflexive Thematic Analysis. The analysis was supported by two further GSM young people who had finished DBT. The findings were split into three overarching themes (Identity, Impact of Others, and Space for Sexual and Gender Identity in DBT), each with themes within. The identity-based theme included "identity confusion and acceptance"; the relationship-based themes included "cis-Heterosexism" and "community connectedness"; and the space within DBT themes included "negotiating focus and targeting in DBT" and "creating safety in DBT". Findings are discussed in relation to implications and recommendations for therapists working with GSM young people within and outside of DBT.
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Affiliation(s)
- J Camp
- Department of Psychology, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, SE5 8AB
- National & Specialist CAMHS, DBT Service, South London & Maudsley NHS Foundation Trust, Michael Rutter Centre, Maudsley Hospital, London, SE5 8AZ
| | - A Morris
- National & Specialist CAMHS, DBT Service, South London & Maudsley NHS Foundation Trust, Michael Rutter Centre, Maudsley Hospital, London, SE5 8AZ
| | - H Wilde
- National & Specialist CAMHS, DBT Service, South London & Maudsley NHS Foundation Trust, Michael Rutter Centre, Maudsley Hospital, London, SE5 8AZ
| | - P Smith
- Department of Psychology, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, SE5 8AB
| | - K A Rimes
- Department of Psychology, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, SE5 8AB
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Tarry-Adkins JL, Robinson IG, Pantaleão LC, Armstrong JL, Thackray BD, Holzner LMW, Knapton AE, Virtue S, Jenkins B, Koulman A, Murray AJ, Ozanne SE, Aiken CE. The metabolic response of human trophoblasts derived from term placentas to metformin. Diabetologia 2023; 66:2320-2331. [PMID: 37670017 PMCID: PMC10627909 DOI: 10.1007/s00125-023-05996-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 07/18/2023] [Indexed: 09/07/2023]
Abstract
AIMS/HYPOTHESIS Metformin is increasingly used therapeutically during pregnancy worldwide, particularly in the treatment of gestational diabetes, which affects a substantial proportion of pregnant women globally. However, the impact on placental metabolism remains unclear. In view of the association between metformin use in pregnancy and decreased birthweight, it is essential to understand how metformin modulates the bioenergetic and anabolic functions of the placenta. METHODS A cohort of 55 placentas delivered by elective Caesarean section at term was collected from consenting participants. Trophoblasts were isolated from the placental samples and treated in vitro with clinically relevant doses of metformin (0.01 mmol/l or 0.1 mmol/l) or vehicle. Respiratory function was assayed using high-resolution respirometry to measure oxygen concentration and calculated [Formula: see text]. Glycolytic rate and glycolytic stress assays were performed using Agilent Seahorse XF assays. Fatty acid uptake and oxidation measurements were conducted using radioisotope-labelled assays. Lipidomic analysis was conducted using LC-MS. Gene expression and protein analysis were performed using RT-PCR and western blotting, respectively. RESULTS Complex I-supported oxidative phosphorylation was lower in metformin-treated trophoblasts (0.01 mmol/l metformin, 61.7% of control, p<0.05; 0.1 mmol/l metformin, 43.1% of control, p<0.001). The proton efflux rate arising from glycolysis under physiological conditions was increased following metformin treatment, up to 23±5% above control conditions following treatment with 0.1 mmol/l metformin (p<0.01). There was a significant increase in triglyceride concentrations in trophoblasts treated with 0.1 mmol/l metformin (p<0.05), particularly those of esters of long-chain polyunsaturated fatty acids. Fatty acid oxidation was reduced by ~50% in trophoblasts treated with 0.1 mmol/l metformin compared with controls (p<0.001), with no difference in uptake between treatment groups. CONCLUSIONS/INTERPRETATION In primary trophoblasts derived from term placentas metformin treatment caused a reduction in oxidative phosphorylation through partial inactivation of complex I and potentially by other mechanisms. Metformin-treated trophoblasts accumulate lipids, particularly long- and very-long-chain polyunsaturated fatty acids. Our findings raise clinically important questions about the balance of risk of metformin use during pregnancy, particularly in situations where the benefits are not clear-cut and alternative therapies are available.
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Affiliation(s)
- Jane L Tarry-Adkins
- Department of Obstetrics and Gynaecology, the Rosie Hospital and NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - India G Robinson
- Department of Obstetrics and Gynaecology, the Rosie Hospital and NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Lucas C Pantaleão
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Jenna L Armstrong
- Department of Physiology, Neuroscience and Development, University of Cambridge, Cambridge, UK
| | - Benjamin D Thackray
- Department of Physiology, Neuroscience and Development, University of Cambridge, Cambridge, UK
| | - Lorenz M W Holzner
- Department of Physiology, Neuroscience and Development, University of Cambridge, Cambridge, UK
| | - Alice E Knapton
- Department of Physiology, Neuroscience and Development, University of Cambridge, Cambridge, UK
| | - Sam Virtue
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Benjamin Jenkins
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Albert Koulman
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Andrew J Murray
- Department of Physiology, Neuroscience and Development, University of Cambridge, Cambridge, UK
- Centre for Trophoblast Research, University of Cambridge, Cambridge, UK
| | - Susan E Ozanne
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
- Centre for Trophoblast Research, University of Cambridge, Cambridge, UK
| | - Catherine E Aiken
- Department of Obstetrics and Gynaecology, the Rosie Hospital and NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK.
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
- Centre for Trophoblast Research, University of Cambridge, Cambridge, UK.
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Hassall CD, Yan Y, Hunt LT. The neural correlates of continuous feedback processing. Psychophysiology 2023; 60:e14399. [PMID: 37485986 PMCID: PMC10851313 DOI: 10.1111/psyp.14399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 07/12/2023] [Accepted: 07/12/2023] [Indexed: 07/25/2023]
Abstract
Feedback processing is commonly studied by analyzing the brain's response to discrete rather than continuous events. Such studies have led to the hypothesis that rapid phasic midbrain dopaminergic activity tracks reward prediction errors (RPEs), the effects of which are measurable at the scalp via electroencephalography (EEG). Although studies using continuous feedback are sparse, recent animal work suggests that moment-to-moment changes in reward are tracked by slowly ramping midbrain dopaminergic activity. Some have argued that these ramping signals index state values rather than RPEs. Our goal here was to develop an EEG measure of continuous feedback processing in humans, then test whether its behavior could be accounted for by the RPE hypothesis. Participants completed a stimulus-response learning task in which a continuous reward cue gradually increased or decreased over time. A regression-based unmixing approach revealed EEG activity with a topography and time course consistent with the stimulus-preceding negativity (SPN), a scalp potential previously linked to reward anticipation and tonic dopamine release. Importantly, this reward-related activity depended on outcome expectancy: as predicted by the RPE hypothesis, activity for expected reward cues was reduced compared to unexpected reward cues. These results demonstrate the possibility of using human scalp-recorded potentials to track continuous feedback processing, and test candidate hypotheses of this activity.
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Affiliation(s)
- Cameron D. Hassall
- Department of PsychiatryUniversity of OxfordOxfordUK
- Department of PsychologyMacEwan UniversityEdmontonAlbertaCanada
| | - Yan Yan
- Department of PsychiatryUniversity of OxfordOxfordUK
- Department of PsychologyStanford UniversityStanfordCaliforniaUSA
| | - Laurence T. Hunt
- Department of PsychiatryUniversity of OxfordOxfordUK
- Department of Experimental PsychologyUniversity of OxfordOxfordUK
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Iruzubieta P, Pellerin D, Bergareche A, Albajar I, Mondragón E, Vinagre A, Fernández-Torrón R, Moreno F, Equiza J, Campo-Caballero D, Poza JJ, Ruibal M, Formica A, Dicaire MJ, Danzi MC, Zuchner S, Croitoru I, Ruiz M, Schlüter A, Casasnovas C, Pujol A, Brais B, Houlden H, López de Munain A, Ruiz-Martínez J. Frequency and phenotypic spectrum of spinocerebellar ataxia 27B and other genetic ataxias in a Spanish cohort of late-onset cerebellar ataxia. Eur J Neurol 2023; 30:3828-3833. [PMID: 37578187 DOI: 10.1111/ene.16039] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 07/30/2023] [Accepted: 08/10/2023] [Indexed: 08/15/2023]
Abstract
BACKGROUND AND PURPOSE Dominantly inherited GAA repeat expansions in the fibroblast growth factor 14 (FGF14) gene have recently been shown to cause spinocerebellar ataxia 27B (SCA27B). We aimed to study the frequency and phenotype of SCA27B in a cohort of patients with unsolved late-onset cerebellar ataxia (LOCA). We also assessed the frequency of SCA27B relative to other genetically defined LOCAs. METHODS We recruited a consecutive series of 107 patients with LOCA, of whom 64 remained genetically undiagnosed. We screened these 64 patients for the FGF14 GAA repeat expansion. We next analysed the frequency of SCA27B relative to other genetically defined forms of LOCA in the cohort of 107 patients. RESULTS Eighteen of 64 patients (28%) carried an FGF14 (GAA)≥250 expansion. The median (range) age at onset was 62.5 (39-72) years. The most common clinical features included gait ataxia (100%) and mild cerebellar dysarthria (67%). In addition, episodic symptoms and downbeat nystagmus were present in 39% (7/18) and 37% (6/16) of patients, respectively. SCA27B was the most common cause of LOCA in our cohort (17%, 18/107). Among patients with genetically defined LOCA, SCA27B was the main cause of pure ataxia, RFC1-related disease of ataxia with neuropathy, and SPG7 of ataxia with spasticity. CONCLUSION We showed that SCA27B is the most common cause of LOCA in our cohort. Our results support the use of FGF14 GAA repeat expansion screening as a first-tier genetic test in patients with LOCA.
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Affiliation(s)
- Pablo Iruzubieta
- Department of Neurology, Donostia University Hospital, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
- CIBERNED Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas-Instituto de Salud Carlos III (CIBER-CIBERNED-ISCIII), Madrid, Spain
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology London and The National Hospital for Neurology and Neurosurgery, University College London, London, UK
| | - David Pellerin
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology London and The National Hospital for Neurology and Neurosurgery, University College London, London, UK
- Department of Neurology and Neurosurgery, Montreal Neurological Hospital and Institute, McGill University, Montreal, Quebec, Canada
| | - Alberto Bergareche
- Department of Neurology, Donostia University Hospital, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
- CIBERNED Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas-Instituto de Salud Carlos III (CIBER-CIBERNED-ISCIII), Madrid, Spain
| | - Inés Albajar
- Department of Neurology, Donostia University Hospital, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
| | - Elisabet Mondragón
- Department of Neurology, Donostia University Hospital, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
- CIBERNED Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas-Instituto de Salud Carlos III (CIBER-CIBERNED-ISCIII), Madrid, Spain
| | - Ana Vinagre
- Department of Neurology, Donostia University Hospital, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
- CIBERNED Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas-Instituto de Salud Carlos III (CIBER-CIBERNED-ISCIII), Madrid, Spain
| | - Roberto Fernández-Torrón
- Department of Neurology, Donostia University Hospital, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
- CIBERNED Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas-Instituto de Salud Carlos III (CIBER-CIBERNED-ISCIII), Madrid, Spain
| | - Fermín Moreno
- Department of Neurology, Donostia University Hospital, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
- CIBERNED Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas-Instituto de Salud Carlos III (CIBER-CIBERNED-ISCIII), Madrid, Spain
| | - Jon Equiza
- Department of Neurology, Donostia University Hospital, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
| | - David Campo-Caballero
- Department of Neurology, Donostia University Hospital, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
| | - Juan José Poza
- Department of Neurology, Donostia University Hospital, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
| | - Marta Ruibal
- Department of Neurology, Donostia University Hospital, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
| | - Alessandro Formica
- Department of Neurology, Donostia University Hospital, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
| | - Marie-Josée Dicaire
- Department of Neurology and Neurosurgery, Montreal Neurological Hospital and Institute, McGill University, Montreal, Quebec, Canada
| | - Matt C Danzi
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Stephan Zuchner
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Ioana Croitoru
- CIBERNED Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas-Instituto de Salud Carlos III (CIBER-CIBERNED-ISCIII), Madrid, Spain
| | - Montserrat Ruiz
- Neurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- Centre for Biomedical Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Agatha Schlüter
- Neurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- Centre for Biomedical Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Carlos Casasnovas
- Neurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- Neuromuscular Unit, Neurology Department, Hospital Universitari de Bellvitge, Universitat de Barcelona, Barcelona, Spain
| | - Aurora Pujol
- Neurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- Centre for Biomedical Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Bernard Brais
- Department of Neurology and Neurosurgery, Montreal Neurological Hospital and Institute, McGill University, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Henry Houlden
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology London and The National Hospital for Neurology and Neurosurgery, University College London, London, UK
| | - Adolfo López de Munain
- Department of Neurology, Donostia University Hospital, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
- CIBERNED Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas-Instituto de Salud Carlos III (CIBER-CIBERNED-ISCIII), Madrid, Spain
| | - Javier Ruiz-Martínez
- Department of Neurology, Donostia University Hospital, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
- CIBERNED Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas-Instituto de Salud Carlos III (CIBER-CIBERNED-ISCIII), Madrid, Spain
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Lim AG, Aas CF, Çağlar ES, Vold JH, Fadnes LT, Vickerman P, Johansson KA. Cost-effectiveness of integrated treatment for hepatitis C virus (HCV) among people who inject drugs in Norway: An economic evaluation of the INTRO-HCV trial. Addiction 2023; 118:2424-2439. [PMID: 37515462 PMCID: PMC10952903 DOI: 10.1111/add.16305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 06/26/2023] [Indexed: 07/30/2023]
Abstract
BACKGROUND AND AIMS The INTRO-HCV randomized controlled trial conducted in Norway over 2017-2019 found that integrated treatment, compared with standard-of-care hospital treatment, for hepatitis C virus (HCV) with direct-acting antivirals (DAAs) improved treatment outcomes among people who inject drugs (PWID). We evaluated cost-effectiveness of the INTRO-HCV intervention. DESIGN A Markov health state transition model of HCV disease progression and treatment with cost-effectiveness analysis from the health-provider perspective. Primary cost, utility, and health outcome data were derived from the trial. Costs and health benefits (quality-adjusted life-years, QALYs) were tracked over 50 years. Probabilistic and univariate sensitivity analyses investigated DAA price reductions and variations in HCV treatment and disease care cost assumptions, using costs from different countries (Norway, United Kingdom, United States, France, Australia). SETTING AND PARTICIPANTS PWID attending community-based drug treatment centers for people with opioid dependence in Norway. MEASUREMENTS Incremental cost-effectiveness ratio (ICER) in terms of cost per QALY gained, compared against a conventional (€70 000/QALY) willingness-to-pay threshold for Norway and lower (€20 000/QALY) threshold common among high-income countries. FINDINGS Integrated treatment resulted in an ICER of €13 300/QALY gained, with 99% and 71% probability of being cost-effective against conventional and lower willingness-to-pay thresholds, respectively. A 30% lower DAA price reduced the ICER to €6 900/QALY gained, with 91% probability of being cost-effective at the lower willingness-to-pay threshold. A 60% and 90% lower DAA price had 36% and >99% probability of being cost-saving, respectively. Sensitivity analyses suggest integrated treatment was cost-effective at the lower willingness-to-pay threshold (>60% probability) across different assumptions on HCV treatment and disease care costs with 30% DAA price reduction, and became cost-saving with 60%-90% price reductions. CONCLUSIONS Integrated hepatitis C virus treatment for people who inject drugs in community settings is likely cost-effective compared with standard-of-care referral pathways in Norway and may be cost-saving in settings with particular characteristics.
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Affiliation(s)
- Aaron Guanliang Lim
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Christer Frode Aas
- Bergen Addiction Research, Department of Addiction MedicineHaukeland University HospitalBergenNorway
- Department of Global Public Health and Primary CareUniversity of BergenBergenNorway
- Division of PsychiatryHaukeland University HospitalBergenNorway
| | - Ege Su Çağlar
- Bergen Addiction Research, Department of Addiction MedicineHaukeland University HospitalBergenNorway
- Department of Global Public Health and Primary CareUniversity of BergenBergenNorway
| | - Jørn Henrik Vold
- Bergen Addiction Research, Department of Addiction MedicineHaukeland University HospitalBergenNorway
- Department of Global Public Health and Primary CareUniversity of BergenBergenNorway
- Division of PsychiatryHaukeland University HospitalBergenNorway
| | - Lars Thore Fadnes
- Bergen Addiction Research, Department of Addiction MedicineHaukeland University HospitalBergenNorway
- Department of Global Public Health and Primary CareUniversity of BergenBergenNorway
| | - Peter Vickerman
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Kjell Arne Johansson
- Bergen Addiction Research, Department of Addiction MedicineHaukeland University HospitalBergenNorway
- Department of Global Public Health and Primary CareUniversity of BergenBergenNorway
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Coulibaly ZI, Gowelo S, Traore I, Mbewe RB, Ngulube W, Olanga EA, DePina AJ, Sanou A, Coleman S, Tangena JAA. Strengthening adult mosquito surveillance in Africa for disease control: learning from the present. Curr Opin Insect Sci 2023; 60:101110. [PMID: 37660835 PMCID: PMC7615242 DOI: 10.1016/j.cois.2023.101110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 08/27/2023] [Accepted: 08/29/2023] [Indexed: 09/05/2023]
Abstract
Mosquito surveillance is essential to successfully control and eliminate mosquito-borne diseases. Yet, it is often done by numerous organizations with little collaboration, incomplete understanding of existing gaps, and limited long-term vision. There is a clear disconnect between entomological and epidemiological indices, with entomological data informing control efforts inadequately. Here, we discuss current mosquito surveillance practises across the heterogeneous disease landscape in Africa. We advocate for the development of mosquito surveillance strategic plans to increase the impact and functionality of mosquito surveillance. We urge for a proactive approach to set up centralized mosquito data systems under the custodian of national governments, focus on epidemiologically relevant mosquito data, and increase the robustness of mosquito surveillance using a more spatially explicit sampling design.
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Affiliation(s)
| | - Steve Gowelo
- Malaria Alert centre of the Kamuzu University of Health Sciences, Malawi; University of California San Francisco, Malaria Elimination Initiative, USA
| | | | - Rex B Mbewe
- Malawi University of Business and Applied Sciences, Malawi; Malawi Liverpool Wellcome Trust, Malawi
| | | | - Evelyn A Olanga
- Malaria Alert centre of the Kamuzu University of Health Sciences, Malawi
| | | | - Antoine Sanou
- Centre National de Recherche et de Formation sur le Paludisme, Burkina Faso; Institut Supérieur de Développement Durable, Université de Fada N'Gourma, Burkina Faso
| | - Sylvester Coleman
- Vector Biology department, Liverpool School of Tropical Medicine, United Kingdom
| | - Julie-Anne A Tangena
- Vector Biology department, Liverpool School of Tropical Medicine, United Kingdom.
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Zhao H, Zheng Q, Teng C, Yasrab R, Drukker L, Papageorghiou AT, Noble JA. Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound. Med Image Anal 2023; 90:102977. [PMID: 37778101 DOI: 10.1016/j.media.2023.102977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 08/03/2023] [Accepted: 09/18/2023] [Indexed: 10/03/2023]
Abstract
In obstetric sonography, the quality of acquisition of ultrasound scan video is crucial for accurate (manual or automated) biometric measurement and fetal health assessment. However, the nature of fetal ultrasound involves free-hand probe manipulation and this can make it challenging to capture high-quality videos for fetal biometry, especially for the less-experienced sonographer. Manually checking the quality of acquired videos would be time-consuming, subjective and requires a comprehensive understanding of fetal anatomy. Thus, it would be advantageous to develop an automatic quality assessment method to support video standardization and improve diagnostic accuracy of video-based analysis. In this paper, we propose a general and purely data-driven video-based quality assessment framework which directly learns a distinguishable feature representation from high-quality ultrasound videos alone, without anatomical annotations. Our solution effectively utilizes both spatial and temporal information of ultrasound videos. The spatio-temporal representation is learned by a bi-directional reconstruction between the video space and the feature space, enhanced by a key-query memory module proposed in the feature space. To further improve performance, two additional modalities are introduced in training which are the sonographer gaze and optical flow derived from the video. Two different clinical quality assessment tasks in fetal ultrasound are considered in our experiments, i.e., measurement of the fetal head circumference and cerebellar diameter; in both of these, low-quality videos are detected by the large reconstruction error in the feature space. Extensive experimental evaluation demonstrates the merits of our approach.
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Affiliation(s)
- He Zhao
- Institute of Biomedical Engineering, University of Oxford, United Kingdom.
| | - Qingqing Zheng
- Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
| | - Clare Teng
- Institute of Biomedical Engineering, University of Oxford, United Kingdom
| | - Robail Yasrab
- Institute of Biomedical Engineering, University of Oxford, United Kingdom
| | - Lior Drukker
- Nuffield Department of Women's and Reproductive Health, University of Oxford, United Kingdom; Department of Obstetrics and Gynecology, Tel-Aviv University, Israel
| | - Aris T Papageorghiou
- Nuffield Department of Women's and Reproductive Health, University of Oxford, United Kingdom
| | - J Alison Noble
- Institute of Biomedical Engineering, University of Oxford, United Kingdom
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Rieger SW, Hess A, Ji Y, Rodgers CT, Jezzard P, Miller KL, Wu W. A temperature-controlled cooling system for accurate quantitative post-mortem MRI. Magn Reson Med 2023; 90:2643-2652. [PMID: 37529979 PMCID: PMC10952464 DOI: 10.1002/mrm.29816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 06/16/2023] [Accepted: 07/13/2023] [Indexed: 08/03/2023]
Abstract
PURPOSE To develop a temperature-controlled cooling system to facilitate accurate quantitative post-mortem MRI and enable scanning of unfixed tissue. METHODS A water cooling system was built and integrated with a 7T scanner to minimize temperature drift during MRI scans. The system was optimized for operational convenience and rapid deployment to ensure efficient workflow, which is critical for scanning unfixed post-mortem samples. The performance of the system was evaluated using a 7-h diffusion MRI protocol at 7T with a porcine tissue sample. Quantitative T1 , T2 , and ADC maps were interspersed with the diffusion scans at seven different time points to investigate the temperature dependence of MRI tissue parameters. The impact of temperature changes on biophysical model fitting of diffusion MRI data was investigated using simulation. RESULTS Tissue T1 , T2 , and ADC values remained stable throughout the diffusion MRI scan using the developed cooling system, but varied substantially using a conventional scan setup without temperature control. The cooling system enabled accurate estimation of biophysical model parameters by stabilizing the tissue temperature throughout the diffusion scan, while the conventional setup showed evidence of significantly biased estimation. CONCLUSION A temperature-controlled cooling system was developed to tackle the challenge of heating in post-mortem imaging, which shows potential to improve the accuracy and reliability of quantitative post-mortem imaging and enables long scans of unfixed tissue.
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Affiliation(s)
- Sebastian W. Rieger
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, Department of PsychiatryUniversity of OxfordOxfordUK
| | - Aaron Hess
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Yang Ji
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Christopher T. Rodgers
- Wolfson Brain Imaging Centre, Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | - Peter Jezzard
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Karla L. Miller
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Wenchuan Wu
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
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Neves Silva S, Aviles Verdera J, Tomi‐Tricot R, Neji R, Uus A, Grigorescu I, Wilkinson T, Ozenne V, Lewin A, Story L, De Vita E, Rutherford M, Pushparajah K, Hajnal J, Hutter J. Real-time fetal brain tracking for functional fetal MRI. Magn Reson Med 2023; 90:2306-2320. [PMID: 37465882 PMCID: PMC10952752 DOI: 10.1002/mrm.29803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 07/03/2023] [Accepted: 07/03/2023] [Indexed: 07/20/2023]
Abstract
PURPOSE To improve motion robustness of functional fetal MRI scans by developing an intrinsic real-time motion correction method. MRI provides an ideal tool to characterize fetal brain development and growth. It is, however, a relatively slow imaging technique and therefore extremely susceptible to subject motion, particularly in functional MRI experiments acquiring multiple Echo-Planar-Imaging-based repetitions, for example, diffusion MRI or blood-oxygen-level-dependency MRI. METHODS A 3D UNet was trained on 125 fetal datasets to track the fetal brain position in each repetition of the scan in real time. This tracking, inserted into a Gadgetron pipeline on a clinical scanner, allows updating the position of the field of view in a modified echo-planar imaging sequence. The method was evaluated in real-time in controlled-motion phantom experiments and ten fetal MR studies (17 + 4-34 + 3 gestational weeks) at 3T. The localization network was additionally tested retrospectively on 29 low-field (0.55T) datasets. RESULTS Our method achieved real-time fetal head tracking and prospective correction of the acquisition geometry. Localization performance achieved Dice scores of 84.4% and 82.3%, respectively for both the unseen 1.5T/3T and 0.55T fetal data, with values higher for cephalic fetuses and increasing with gestational age. CONCLUSIONS Our technique was able to follow the fetal brain even for fetuses under 18 weeks GA in real-time at 3T and was successfully applied "offline" to new cohorts on 0.55T. Next, it will be deployed to other modalities such as fetal diffusion MRI and to cohorts of pregnant participants diagnosed with pregnancy complications, for example, pre-eclampsia and congenital heart disease.
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Affiliation(s)
- Sara Neves Silva
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
| | - Jordina Aviles Verdera
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
| | - Raphael Tomi‐Tricot
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
- MR Research CollaborationsSiemens Healthcare LimitedCamberleyUK
| | - Radhouene Neji
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
- MR Research CollaborationsSiemens Healthcare LimitedCamberleyUK
| | - Alena Uus
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
| | - Irina Grigorescu
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
| | - Thomas Wilkinson
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
| | - Valery Ozenne
- CNRS, CRMSB, UMR 5536, IHU LirycUniversité de BordeauxBordeauxFrance
| | - Alexander Lewin
- Institute of Neuroscience and Medicine 11, INM‐11Forschungszentrum JülichJülichGermany
- RWTHAachen UniversityAachenGermany
| | - Lisa Story
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
- Department of Women & Children's HealthKing's College LondonLondonUK
| | - Enrico De Vita
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
- MRI Physics GroupGreat Ormond Street HospitalLondonUK
| | - Mary Rutherford
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
| | - Kuberan Pushparajah
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
| | - Jo Hajnal
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging SciencesKing's College LondonLondonUK
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Faulkner A, Kelly K, Gibson S, Gillard S, Samuels L, Sweeney A. Respect for the journey: a survivor-led investigation of undergoing psychotherapy assessment. Soc Psychiatry Psychiatr Epidemiol 2023; 58:1803-1811. [PMID: 33517488 PMCID: PMC10628034 DOI: 10.1007/s00127-020-02017-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 12/22/2020] [Indexed: 10/22/2022]
Abstract
PURPOSE Psychotherapy assessments are key decision points for both clients and services, carrying considerable weight on both sides. Limited research indicates that assessments have immediate and long-term impacts on clients, particularly where trauma has been experienced, affecting engagement with therapy. Understanding assessments from clients' perspectives can inform service development and improve client experience. METHODS This is a survivor-led exploration of clients' experiences of undergoing assessment for talking therapies. Interviews were conducted with seven people who had undergone assessment for psychological therapies in third sector and NHS services. Interviews were recorded, transcribed and analysed thematically. RESULTS The core theme was 'respect for the journey' reflecting the need expressed by participants for their life experiences prior to the assessment to be given full respect and consideration. Six sub-themes were identified: trauma and desperation, fear of judgement, search for trust and safety, sharing and withholding (a balancing act), feeling deconstructed, and finding hope. CONCLUSIONS The findings highlight the heightened emotional power surrounding psychotherapy assessments, reflecting the journey participants had undertaken to reach this point. The dilemma facing clients at the heart of an assessment-how much to share and how much to withhold-demonstrates the importance for services and assessors of treating the journey a client has made to the assessment with care and respect. Findings indicate the value of services and practitioners undertaking a trauma-informed approach to assessment encounters.
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Affiliation(s)
| | - Katie Kelly
- Tower Hamlets Early Intervention for Psychosis Service (THEIS), East London NHS Foundation Trust, London, E2 6BF, UK
| | | | - Steve Gillard
- School of Health Sciences, City, University of London, London, EC1V 0HB, UK
| | - Lana Samuels
- PEER, St George's, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - Angela Sweeney
- Service User Research Enterprise, King's College London, London, SE5 8AF, UK.
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