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Sloan M, Wincup C, Harwood R, Pollak TA, Massou E, Bosley M, Pitkanen M, Zandi MS, Leschziner G, Barrere C, Ubhi M, Andreoli L, Brimicombe J, Diment W, Jayne D, Gordon C, Naughton F, D’Cruz D. Prevalence and identification of neuropsychiatric symptoms in systemic autoimmune rheumatic diseases: an international mixed methods study. Rheumatology (Oxford) 2024; 63:1259-1272. [PMID: 37491699 PMCID: PMC11065444 DOI: 10.1093/rheumatology/kead369] [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: 05/04/2023] [Revised: 06/16/2023] [Accepted: 07/14/2023] [Indexed: 07/27/2023] Open
Abstract
OBJECTIVE A limited range of neuropsychiatric symptoms have been reported in systemic autoimmune rheumatic diseases (SARDs), with varied symptom prevalence. This study aimed to investigate a wider range of potential symptoms than previous studies, compare patient self-reports with clinician estimates, and explore barriers to symptom identification. METHODS Mixed methods were used. Data from SARDs patients (n = 1853) were compared with controls (n = 463) and clinicians (n = 289). In-depth interviews (n = 113) were analysed thematically. Statistical tests compared means of survey items between patients and controls, 8 different SARD groups, and clinician specialities. RESULTS Self-reported lifetime prevalences of all 30 neuropsychiatric symptoms investigated (including cognitive, sensorimotor and psychiatric) were significantly higher in SARDs than controls. Validated instruments assessed 55% of SARDs patients as currently having depression and 57% anxiety. Barriers to identifying neuropsychiatric symptoms included: (i) limits to knowledge, guidelines, objective tests and inter-speciality cooperation; (ii) subjectivity, invisibility and believability of symptoms; and (iii) under-eliciting, under-reporting and under-documenting. A lower proportion of clinicians (4%) reported never/rarely asking patients about mental health symptoms than the 74% of patients who reported never/rarely being asked in clinic (P < 0.001). Over 50% of SARDs patients had never/rarely reported their mental health symptoms to clinicians, a proportion underestimated at <10% by clinicians (P < 0.001). CONCLUSION Neuropsychiatric symptom self-reported prevalences are significantly higher in SARDs than controls, and are greatly underestimated by most clinicians. Research relying on medical records and current guidelines is unlikely to accurately reflect patients' experiences of neuropsychiatric symptoms. Improved inter-speciality communication and greater patient involvement is needed in SARD care and research.
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Affiliation(s)
- Melanie Sloan
- Department of Public Health and Primary Care Unit, University of Cambridge, Cambridge, UK
| | - Chris Wincup
- Department of Rheumatology, King’s College Hospital London, London, UK
| | - Rupert Harwood
- Swansea University Medical School, Swansea University, Swansea, UK
| | - Thomas A Pollak
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, and SLAM NHS Foundation Trust, London, UK
| | - Efhalia Massou
- Department of Public Health and Primary Care Unit, University of Cambridge, Cambridge, UK
| | | | - Mervi Pitkanen
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, and SLAM NHS Foundation Trust, London, UK
| | - Michael S Zandi
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Guy Leschziner
- Department of Neurology, Guy’s and St Thomas’ Hospitals NHS Foundation Trust, London, UK
| | | | - Mandeep Ubhi
- Rheumatology Research Group, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Laura Andreoli
- Unit of Rheumatology and Clinical Immunology, ASST Spedali Civili, Brescia, Italy
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - James Brimicombe
- Department of Public Health and Primary Care Unit, University of Cambridge, Cambridge, UK
| | | | - David Jayne
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Caroline Gordon
- Rheumatology Research Group, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Felix Naughton
- Behavioural and Implementation Science Group, School of Health Sciences, University of East Anglia, Norwich, UK
| | - David D’Cruz
- The Louise Coote Lupus Unit, Guy’s and St Thomas’ Hospitals NHS Foundation Trust, London, UK
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Almeida SS, Oliveira MA, Medeiros R, Guerra MP, Pariante CM, Fernandes L. Emotional, inflammatory, and genetic factors of resilience and vulnerability to depression in patients with premenopausal breast cancer: A longitudinal study protocol. PLoS One 2023; 18:e0279344. [PMID: 36787313 PMCID: PMC9928105 DOI: 10.1371/journal.pone.0279344] [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] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 12/06/2022] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Psychosocial stress and depressive disorder have been associated with cancer as putative contributors to worse prognosis. On the other hand, cancer diagnosis is a recognised life event that can contribute to distress and depressive states. Humoral and cellular inflammation can promote depressive disorder by means of decreased monoamine synthesis, glutamate neurotoxicity, neurogenesis and neuroplasticity, dysregulated hypothalamic-pituitary-adrenal axis, and glucocorticoid resistance. This protocol objectives are to observe the interactions between psychosocial variables and biochemical and immunological biomarkers in a longitudinal, prospective design; to identify inflammation-related depression endophenotypes in breast cancer patients and to understand if early diagnosed and treated depression in this population will translate in better inflammation status and better global prognosis. METHODS Prospective observational cohort, composed by 100 consecutive premenopausal patients, diagnosed with non-distant metastatic breast carcinoma and with no history of major psychopathology or other organic illness. The participants will have an in-person assessment in three different moments, along illness treatment and follow-up, with respect to cytometric, immunologic, and psychosocial parameters and will be tested for depression vulnerability and resilience inflammation-related functional genetic polymorphisms. Additionally, at years 5 and 10 post enrollment, patients`medical records will be assessed. As a control cohort, all patients excluded due to psychiatric history or past psychiatric treatments will have their clinical records assessed at years 5 and 10 after admission. All the data will be managed with the SPSS® software. DISCUSSION AND CONCLUSION This study is an original longitudinal cohort of breast cancer premenopausal patients, with a comprehensive approach to psychosocial, clinical, inflammatory, and genetic variables. It expects to provide evidence regarding the links between genetic, cytometric, immunologic, and psychosocial factors, their potential contribution to the pathophysiology of depressive disorder, breast cancer course, progression, and prognosis. It may further contribute with data to better efficacy of the psycho-oncological interventions. TRIAL REGISTRATION National Commission of Data Protection (CNPD) 13413/2017; Ethics Committee of IPOP project code CI-IPOP81/2017.
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Affiliation(s)
- Susana S. Almeida
- Psychiatry Service, Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal
- Department of Clinical Neurosciences and Mental Health, Faculty of Medicine, University of Porto, Porto, Portugal
- Psychiatry and Psychology Service, CUF Porto Hospital, Porto, Portugal
| | - Magda A. Oliveira
- Psychiatry and Psychology Service, CUF Porto Hospital, Porto, Portugal
- Psychology Service, Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal
- Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
| | - Rui Medeiros
- Molecular Oncology and Viral Pathology Group, Research Center of IPO Porto (CI-IPOP)/RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) /Porto Comprehensive Cancer Center (Porto.CCC), Research Center-LAB2, Porto, Portugal
- ICBAS, Abel Salazar Institute for the Biomedical Sciences, University of Porto, Porto, Portugal
- Biomedical Research Center (CEBIMED), Faculty of Health Sciences, Fernando Pessoa University (UFP), Porto, Portugal
- Research Department, LPCC- Portuguese League Against Cancer (NRNorte), Porto, Portugal
| | - Marina P. Guerra
- Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
- Center for Psychology at University of Porto (CPUP), Porto, Portugal
| | - Carmine M. Pariante
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College of London, London, United Kingdom
| | - Lia Fernandes
- Department of Clinical Neurosciences and Mental Health, Faculty of Medicine, University of Porto, Porto, Portugal
- Psychiatry Service, Centro Hospitalar Universitário São João (CHUSJ), Porto, Portugal
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Heise V, Holman C, Lo H, Lyras EM, Adkins MC, Aquino MRJ, Bougioukas KI, Bray KO, Gajos M, Guo X, Hartling C, Huerta-Gutierrez R, Jindrová M, Kenney JPM, Kępińska AP, Kneller L, Lopez-Rodriguez E, Mühlensiepen F, Richards A, Richards G, Siebert M, Smith JA, Smith N, Stransky N, Tarvainen S, Valdes DS, Warrington KL, Wilpert NM, Witkowska D, Zaneva M, Zanker J, Weissgerber TL. Ten simple rules for implementing open and reproducible research practices after attending a training course. PLoS Comput Biol 2023; 19:e1010750. [PMID: 36602968 PMCID: PMC9815586 DOI: 10.1371/journal.pcbi.1010750] [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] [Indexed: 01/06/2023] Open
Abstract
Open, reproducible, and replicable research practices are a fundamental part of science. Training is often organized on a grassroots level, offered by early career researchers, for early career researchers. Buffet style courses that cover many topics can inspire participants to try new things; however, they can also be overwhelming. Participants who want to implement new practices may not know where to start once they return to their research team. We describe ten simple rules to guide participants of relevant training courses in implementing robust research practices in their own projects, once they return to their research group. This includes (1) prioritizing and planning which practices to implement, which involves obtaining support and convincing others involved in the research project of the added value of implementing new practices; (2) managing problems that arise during implementation; and (3) making reproducible research and open science practices an integral part of a future research career. We also outline strategies that course organizers can use to prepare participants for implementation and support them during this process.
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Affiliation(s)
- Verena Heise
- Freelance Open Science researcher, Gladbeck, Germany
| | - Constance Holman
- QUEST Center for Responsible Research, Berlin Institute of Health at Charité–Universitätsmedizin Berlin, Berlin, Germany
| | - Hung Lo
- Einstein Center for Neurosciences Berlin, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Neuroscience Research Center (NWFZ), Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Ekaterini Maria Lyras
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | | | - Maria Raisa Jessica Aquino
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom
| | - Konstantinos I. Bougioukas
- Department of Hygiene, Social-Preventive Medicine & Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, University Campus, Thessaloniki, Greece
| | - Katherine O. Bray
- Melbourne Neuropsychiatry Centre (MNC), Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, Australia, and Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
| | - Martyna Gajos
- Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany
| | - Xuanzong Guo
- Einstein Center for Neurosciences Berlin, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Corinna Hartling
- Department of Psychiatry and Psychotherapy, Charité–Universitätsmedizin Berlin, Berlin, Germany
| | | | - Miroslava Jindrová
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany
| | | | - Adrianna P. Kępińska
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Laura Kneller
- Division of Pulmonary Inflammation, Charité–Universitätsmedizin Berlin, Berlin, Germany
| | - Elena Lopez-Rodriguez
- Institute of Functional Anatomy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Felix Mühlensiepen
- Center for Health Services Research, Brandenburg Medical School Theodor Fontane, Faculty of Health Sciences Brandenburg, Ruedersdorf, Germany
| | | | - Gareth Richards
- School of Psychology, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Maximilian Siebert
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, United States of America
| | - James A. Smith
- Botnar Research Centre and Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Natalie Smith
- Department of Psychology, School of Education, Language and Psychology, York St John University, New York, United Kingdom
| | - Nicolai Stransky
- Department of Pharmacology, Toxicology and Clinical Pharmacy, Institute of Pharmacy, University of Tübingen, Tübingen, Germany
| | - Sirpa Tarvainen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Daniela Sofia Valdes
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
- Experimental and Clinical Research Center Charité–Universitätsmedizin Berlin, Berlin, Germany
| | | | - Nina-Maria Wilpert
- Department of Neuropediatrics, Charité–Universitätsmedizin Berlin, Berlin, Germany
| | - Disa Witkowska
- Division of Psychology and Language Sciences, University College London, London, United Kingdom
| | - Mirela Zaneva
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
| | - Jeanette Zanker
- Einstein Center for Neurosciences Berlin, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Tracey L. Weissgerber
- QUEST Center for Responsible Research, Berlin Institute of Health at Charité–Universitätsmedizin Berlin, Berlin, Germany
- * E-mail:
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Balasundaram B, Ang WST, Stewart R, Bishara D, Ooi CH, Li F, Akram F, Eu Kwek AB. Improving quantification of anticholinergic burden using the Anticholinergic Effect on Cognition Scale - a healthcare improvement study in a geriatric ward setting. Australas Psychiatry 2022; 30:535-540. [PMID: 35726508 PMCID: PMC9379386 DOI: 10.1177/10398562221103117] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE Anticholinergic burden refers to the cumulative effects of taking multiple medications with anticholinergic effects. This study was carried out in a public hospital in Singapore, aimed to improve and achieve a 100% comprehensive identification and review of measured, anticholinergic burden in a geriatric psychiatry liaison service to geriatric wards. We evaluated changes in pre-to post-assessment anticholinergic burden scores and trainee feedback. METHOD Plan Do Study Act methodology was employed, and Anticholinergic Effect on Cognition scale (AEC) was implemented as the study intervention. A survey instrument evaluated trainee feedback. RESULTS There was no measured anticholinergic burden in a baseline of 170 assessments. 75 liaison psychiatry assessments were conducted between June and November 2021 in two cycles. 94.7% of pre-assessments (at the time of assessment) and 71.1% of post-assessments (following assessment) had a record of AEC scores in clinical documentation in cycle one, improving in the second cycle to 100%, 94.6%, respectively. A high post-assessment AEC score of 3 and over reduced from 15.8% in cycle one to 5.4% in cycle two. The trainee feedback suggested an enriching educational experience. CONCLUSIONS Using the AEC scale, the findings support the feasibility of comprehensive identification and review of measured anticholinergic burden in older people with neurocognitive disorders.
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Affiliation(s)
| | | | - Robert Stewart
- Department of Psychological Medicine, 34426Kings College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Delia Bishara
- Department of Psychological Medicine, Kings College London, Institute of Psychiatry, Psychology and Neuroscience, Mental Health of Older Adults & Dementia, 4958South London & Maudsley NHS Foundation Trust, London, UK
| | - Chun How Ooi
- Department of Geriatric Medicine, 26674Changi General Hospital, Singapore
| | - Fuyin Li
- Advanced Practice Nurse Development, Department of Nursing, 26674Changi General Hospital, Singapore
| | - Farooq Akram
- Department of Internal Medicine, 26674Changi General Hospital, Singapore
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Zanelli J, Reichenberg A, Sandin S, Morgan C, Dazzan P, Pilecka I, Marques TR, Morgan K, Young AH, Mollon J. Dynamic and Static Cognitive Deficits in Schizophrenia and Bipolar Disorder After the First Episode. Schizophr Bull 2022; 48:590-598. [PMID: 35064259 PMCID: PMC9077411 DOI: 10.1093/schbul/sbab150] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Few studies have comprehensively examined the profile of cognitive functioning in first episode psychosis patients throughout the lifespan, and from first episode to chronic stage. We assessed functioning in general and specific cognitive functions, comparing both schizophrenia (N = 64) and bipolar I (N = 19) patients to controls (N = 103). Participants were from a population-based, case-control study of first episode psychosis patients, who were followed prospectively up to 10 years post first admission. A cognitive battery was administered at baseline and follow-up. By combining longitudinal and cross-sectional data, we were able to examine the cognitive profile of patients and controls throughout the entire age range of our sample (16-65). Schizophrenia patients exhibited widespread declines in IQ, executive function, visual memory, language ability, and verbal knowledge. However, the ages at which these declines occurred differed between functions. Deficits in verbal memory, working memory, processing speed, and visuospatial ability, on the other hand, were present at the first episode, and remained relatively static thereafter. Bipolar I patients also showed declines in IQ, verbal knowledge, and language ability, albeit at different ages to schizophrenia patients and only in verbal functions. Deficits on measures of verbal memory, processing speed, and executive function remained relatively static. Thus, both schizophrenia and bipolar I patients experienced cognitive decline in general and specific functions after the first episode, but the age at which these declines occurred differed between disorder and function. Cognitive remediation efforts may be most fruitful when targeting individual functions during specific time periods throughout adulthood.
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Affiliation(s)
- Jolanta Zanelli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Psychiatry, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Abraham Reichenberg
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sven Sandin
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Craig Morgan
- Centre for Public Mental Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Izabela Pilecka
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Tiago Reis Marques
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Kevin Morgan
- Department of Psychology, University of Westminster, London, UK
| | - Allan H Young
- Centre for Public Mental Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Josephine Mollon
- Department of Psychiatry, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
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Sandler CX, Wyller VBB, Moss-Morris R, Buchwald D, Crawley E, Hautvast J, Katz BZ, Knoop H, Little P, Taylor R, Wensaas KA, Lloyd AR. Long COVID and Post-infective Fatigue Syndrome: A Review. Open Forum Infect Dis 2021; 8:ofab440. [PMID: 34631916 PMCID: PMC8496765 DOI: 10.1093/ofid/ofab440] [Citation(s) in RCA: 101] [Impact Index Per Article: 33.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 08/22/2021] [Indexed: 11/14/2022] Open
Abstract
Fatigue is a dominant feature of both acute and convalescent coronavirus disease 2019 (COVID-19) (sometimes termed "long-COVID"), with up to 46% of patients reporting fatigue that lasts from weeks to months. The investigators of the international Collaborative on Fatigue Following Infection (COFFI) conducted a systematic review of post-COVID fatigue and a narrative review on fatigue after other infections, and made recommendations for clinical and research approaches to assessing fatigue after COVID-19. In the majority of COVID-19 cohort studies, persistent fatigue was reported by a significant minority of patients, ranging from 13% to 33% at 16-20 weeks post-symptom onset. Data from the prospective cohort studies in COFFI and others indicate that fatigue is also a prevalent outcome from many acute systemic infections, notably infectious mononucleosis, with a case rate for clinically significant Post-infective fatigue after exclusion of recognized medical and psychiatric causes, ranging from 10%-35% at 6 months. To better characterize post-COVID fatigue, the COFFI investigators recommend the following: application of validated screening questionnaires for case detection; standardized interviews encompassing fatigue, mood, and other symptoms; and investigative approaches to identify end-organ damage and mental health conditions.
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Affiliation(s)
| | - Vegard B B Wyller
- Department of Pediatrics and Adolescent Medicine, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Blindern, Oslo, Norway
| | - Rona Moss-Morris
- Health Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Dedra Buchwald
- Institute for Research and Education to Advance Community Health, Washington State University, Seattle, Washington, USA
| | - Esther Crawley
- Bristol Medical School, University of Bristol. Bristol. Centre for Academic Child Health, Bristol, United Kingdom
| | - Jeannine Hautvast
- Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, Nijmegen, Netherlands
| | - Ben Z Katz
- Northwestern University Feinberg School of Medicine, Chicago, Department of Pediatrics, Chicago, Illinois, USA
- Ann & Robert H Lurie Children’s Hospital of Chicago, Division of Infectious Diseases, Chicago, Illinois, USA
| | - Hans Knoop
- Department of Medical Psychology, Amsterdam University Medical Centers, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, Netherlands
| | - Paul Little
- Primary Care Research Centre, Primary Care Public Health and Medical Education Unit, Faculty of Medicine, University of Southampton, United Kingdom
| | - Renee Taylor
- College of Applied Health Sciences, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Knut-Arne Wensaas
- Research Unit for General Practice, NORCE Norwegian Research Centre, Bergen, Norway
| | - Andrew R Lloyd
- The Kirby Institute, UNSW Sydney, New South Wales, Australia
- Correspondence: Andrew Lloyd, MBBS, PhD, FRACP, FAHMS, Level 5, Wallace Wurth Building, Kirby Institute, UNSW Sydney, NSW 2052, Australia ()
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Gungabissoon U, Perera G, Galwey NW, Stewart R. The association between dementia severity and hospitalisation profile in a newly assessed clinical cohort: the South London and Maudsley case register. BMJ Open 2020; 10:e035779. [PMID: 32284392 PMCID: PMC7200045 DOI: 10.1136/bmjopen-2019-035779] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 02/07/2020] [Accepted: 03/20/2020] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVES To evaluate the risk and common causes of hospitalisation in patients with newly diagnosed dementia and variation by severity of cognitive impairment. SETTING We used data from a large London mental healthcare case register linked to a national hospitalisation database. PARTICIPANTS Individuals aged ≥65 years with newly diagnosed dementia with recorded cognitive function and the catchment population within the same geography. OUTCOME MEASURES We evaluated the risk and duration of hospitalisation in the year following a dementia diagnosis. In addition we identified the most common causes of hospitalisation and calculated age-standardised and gender-standardised admission ratios by dementia severity (mild/moderate/severe) relative to the catchment population. RESULTS Of the 5218 patients with dementia, 2596 (49.8%) were hospitalised in the year following diagnosis. The proportion of individuals with mild, moderate and severe dementia who had a hospital admission was 47.9%, 50.8% and 51.7%, respectively (p= 0.097). Duration of hospital stay increased with dementia severity (median 2 days in mild to 4 days in severe dementia, p 0.0001). After excluding readmissions for the same cause, the most common primary hospitalisation discharge diagnoses among patients with dementia were urinary system disorders, pneumonia and fracture of femur, accounting for 15%, 10% and 6% of admissions, respectively. Overall, patients with dementia were hospitalised 30% more than the catchment population, and this trend was observed for most of the discharge diagnoses evaluated. Standardised admission ratios for urinary and respiratory disorders were higher in those with more severe dementia at diagnosis. CONCLUSIONS Individuals with a dementia diagnosis were more likely to be hospitalised than individuals in the catchment population. The length of hospital stay increased with dementia severity. Most of the common causes of hospitalisation were more common than expected relative to the catchment population, but standardised admission ratios only varied by dementia stage for certain groups of conditions.
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Affiliation(s)
- Usha Gungabissoon
- Epidemiology (Value Evidence and Outcomes), GSK, Brentford, London, UK
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Gayan Perera
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | | | - Robert Stewart
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
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Vamvakas G, Norbury CF, Vitoratou S, Gooch D, Pickles A. Standardizing test scores for a target population: The LMS method illustrated using language measures from the SCALES project. PLoS One 2019; 14:e0213492. [PMID: 30845265 PMCID: PMC6405128 DOI: 10.1371/journal.pone.0213492] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Accepted: 02/24/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Centile curves and standard scores are common in epidemiological research. However, standardised norms and centile growth curves for language disorder that reflect the entire UK local school population do not exist. METHODS Scores on six language indices assessing receptive and expressive functioning of children were obtained from the SCALES population survey. Monolingual English speaking participants were aged between five and nine years. Children who attended special schools at study intake, or who were learning English as an additional language were excluded. We constructed language norms using the LMS method of standardisation which allows for skewed measurements. We made use of probability weights that were produced from a two-step logistic model. Distributions of estimated standard scores from an intensively assessed sub-population and from the full population were contrasted to demonstrate the role of weights. RESULTS Non-overlapping centile curves and standardised scores at each age were obtained for the six language indices. The use of weights was essential at retrieving the target distribution of the scores. An online calculator that estimates standardised scores for the measures was constructed and made freely available. CONCLUSIONS The findings highlight the usefulness and flexibility of the LMS method at dealing with the standardisation of linguistic and educational measures that are sufficiently continuous. The paper adds to the existing literature by providing population norms for a number of language tests that were calculated from the same group of individuals.
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Affiliation(s)
- George Vamvakas
- Department of Biostatistics, Institute of Psychology, Psychiatry and Neuroscience, Kings College London, London, United Kingdom
| | | | - Silia Vitoratou
- Department of Biostatistics, Institute of Psychology, Psychiatry and Neuroscience, Kings College London, London, United Kingdom
| | - Debbie Gooch
- Department of Psychology, University of Surrey, Guildford, United Kingdom
| | - Andrew Pickles
- Department of Biostatistics, Institute of Psychology, Psychiatry and Neuroscience, Kings College London, London, United Kingdom
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