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Ware OD, Baik S, Becker TD, Neukrug H, Zimmerman S. Substance use problems and disorders among adults 50 years and older receiving mental health treatment for a primary neurocognitive disorder. Aging Ment Health 2024; 28:1351-1356. [PMID: 38533723 DOI: 10.1080/13607863.2024.2335396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 03/04/2024] [Indexed: 03/28/2024]
Abstract
OBJECTIVES This study sought to (1) identify the percentage of high-risk substance use or substance use disorder (SUD) and (2) examine the factors associated with high-risk substance use or SUD in adults aged 50 years and older receiving mental health treatment with a primary delirium or dementia diagnosis. METHOD This study used 7 years (2013-2019) of national administrative data on community mental health center patients aged 50 years and older with a primary delirium or dementia diagnosis receiving treatment in the United States (U.S.). To examine factors associated with the dependent variable (high-risk substance use or SUD), a multivariable binary logistic regression model was utilized. RESULTS The sample included 77,509 individuals who were mostly aged 65 years and older (69.7%), and did not have co-occurring high-risk substance use or SUD (90.1%). Receiving treatment in a U.S. region other than the Northeast, being younger, male, not non-Hispanic White, and having multiple mental health diagnoses had greater odds of co-occurring high-risk substance use or SUD. CONCLUSION One in ten persons in this sample having high-risk substance use or SUD highlights the clinical necessity for screening and subsequent treatment for co-occurring high-risk substance use among persons receiving treatment for a neurocognitive disorder.
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Affiliation(s)
- Orrin D Ware
- School of Social Work, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sol Baik
- Weldon Cooper Center for Public Service, University of Virginia, Charlottesville, VA, USA
| | - Todd D Becker
- School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Hannah Neukrug
- School of Social Work, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sheryl Zimmerman
- School of Social Work, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Kobayashi M, Une S, Hara H, Honda M. The Impact of Training in Multimodal Communication Skills on Psychotropic Medication Use in Dementia Care. Cureus 2024; 16:e63413. [PMID: 38947140 PMCID: PMC11213625 DOI: 10.7759/cureus.63413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/27/2024] [Indexed: 07/02/2024] Open
Abstract
Aim This study aimed to assess the trends in psychotropic drug prescriptions among elderly residents with dementia following the continuous implementation of multimodal comprehensive care communication skills training for staff in a long-term care facility. Methods This retrospective single-center cross-sectional study utilized the database of an urban public hospital that included a long-term care facility. The data were collected from 2016 to 2020. All 130 staff members at the hospital (52 nurses, 48 professional caregivers, seven rehabilitation staff members, three physicians, and three pharmacists) initiated multimodal comprehensive care communication skills basic training from October 2014 to December 2015, which was followed by continuous monthly training until the end of 2020. Antipsychotic prescription rates for residents aged over 65 years with dementia were measured throughout the study period. Results A total of 506 eligible residents were identified, the median age was 86.0 years (IQR: 81.0-90.0), and 283 (55.9%) residents were females. The prescription rates for psychotropic drugs among residents with dementia decreased significantly (43.5% in 2016, 27.0% in 2020; p=0.01). Notably, the percentage of patients prescribed anxiolytics decreased significantly (from 4.7% to 0.0%), while the percentage of patients receiving antipsychotic drugs, hypnotics, antidepressants, or antiepileptic drugs remained unchanged over time. The prescription rates for antidementia drugs significantly decreased from 15.3% to 4.0%. Conclusion The prescription rates of psychotropic drugs were significantly reduced following multimodal comprehensive care communication skills training for staff at a long-term care facility. The improvement in communication skills among staff at long-term care facilities has a tangible impact on reducing drug use among elderly residents with dementia.
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Affiliation(s)
- Masaki Kobayashi
- Internal Medicine, Unity Hospital, Rochester Regional Health, Rochester, USA
- General Internal Medicine, Division of Geriatric Research, National Hospital Organization Tokyo Medical Center, Tokyo, JPN
| | - Saki Une
- General Internal Medicine, Division of Geriatric Research, National Hospital Organization Tokyo Medical Center, Tokyo, JPN
| | - Hisao Hara
- Internal Medicine, Koriyama Medical Care Hospital, Koriyama, JPN
| | - Miwako Honda
- General Internal Medicine, Division of Geriatric Research, National Hospital Organization Tokyo Medical Center, Tokyo, JPN
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Reyes C, Newby D, Raventós B, Verhamme K, Mosseveld M, Prieto-Alhambra D, Burn E, Duarte-Salles T. Trends of use and characterisation of anti-dementia drugs users: a large multinational-network population-based study. Age Ageing 2024; 53:afae106. [PMID: 38783756 PMCID: PMC11116820 DOI: 10.1093/ageing/afae106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 03/20/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND An updated time-trend analysis of anti-dementia drugs (ADDs) is lacking. The aim of this study is to assess the incident rate (IR) of ADD in individuals with dementia using real-world data. SETTING Primary care data (country/database) from the UK/CPRD-GOLD (2007-20), Spain/SIDIAP (2010-20) and the Netherlands/IPCI (2008-20), standardised to a common data model. METHODS Cohort study. Participants: dementia patients ≥40 years old with ≥1 year of previous data. Follow-up: until the end of the study period, transfer out of the catchment area, death or incident prescription of rivastigmine, galantamine, donepezil or memantine. Other variables: age/sex, type of dementia, comorbidities. Statistics: overall and yearly age/sex IR, with 95% confidence interval, per 100,000 person-years (IR per 105 PY (95%CI)). RESULTS We identified a total of (incident anti-dementia users/dementia patients) 41,024/110,642 in UK/CPRD-GOLD, 51,667/134,927 in Spain/SIDIAP and 2,088/17,559 in the Netherlands/IPCI.In the UK, IR (per 105 PY (95%CI)) of ADD decreased from 2007 (30,829 (28,891-32,862)) to 2010 (17,793 (17,083-18,524)), then increased up to 2019 (31,601 (30,483 to 32,749)) and decrease in 2020 (24,067 (23,021-25,148)). In Spain, IR (per 105 PY (95%CI)) of ADD decreased by 72% from 2010 (51,003 (49,199-52,855)) to 2020 (14,571 (14,109-15,043)). In the Netherlands, IR (per 105 PY (95%CI)) of ADD decreased by 77% from 2009 (21,151 (14,967-29,031)) to 2020 (4763 (4176-5409)). Subjects aged ≥65-79 years and men (in the UK and the Netherlands) initiated more frequently an ADD. CONCLUSIONS Treatment of dementia remains highly heterogeneous. Further consensus in the pharmacological management of patients living with dementia is urgently needed.
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Affiliation(s)
- Carlen Reyes
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Sardenya Primary Health Care Center, EAP Sardenya- Research Institute Sant Pau (EAP Sardenya-IR Sant Pau), Barcelona, Spain
| | - Danielle Newby
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Windmill Road, Oxford, UK
| | - Berta Raventós
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Katia Verhamme
- Department of Medical Informatics, Erasmus Medical Center University, Rotterdam, Netherlands
| | - Mees Mosseveld
- Department of Medical Informatics, Erasmus Medical Center University, Rotterdam, Netherlands
| | - Daniel Prieto-Alhambra
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Windmill Road, Oxford, UK
- Department of Medical Informatics, Erasmus Medical Center University, Rotterdam, Netherlands
| | - Edward Burn
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Windmill Road, Oxford, UK
| | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Department of Medical Informatics, Erasmus Medical Center University, Rotterdam, Netherlands
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Chen Y, Brunner EJ. Do age-standardised dementia incidence rates really increase in England and Wales? - Authors' reply. Lancet Public Health 2024; 9:e154. [PMID: 38429015 DOI: 10.1016/s2468-2667(24)00021-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 01/29/2024] [Indexed: 03/03/2024]
Affiliation(s)
- Yuntao Chen
- Department of Epidemiology and Public Health, University College London, London, UK.
| | - Eric J Brunner
- Department of Epidemiology and Public Health, University College London, London, UK
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Doran W, Tunnicliffe L, Muzambi R, Rentsch CT, Bhaskaran K, Smeeth L, Brayne C, Williams DM, Chaturvedi N, Eastwood SV, Dunachie SJ, Mathur R, Warren-Gash C. Incident dementia risk among patients with type 2 diabetes receiving metformin versus alternative oral glucose-lowering therapy: an observational cohort study using UK primary healthcare records. BMJ Open Diabetes Res Care 2024; 12:e003548. [PMID: 38272537 PMCID: PMC10823924 DOI: 10.1136/bmjdrc-2023-003548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 12/21/2023] [Indexed: 01/27/2024] Open
Abstract
INTRODUCTION 4.2 million individuals in the UK have type 2 diabetes, a known risk factor for dementia and mild cognitive impairment (MCI). Diabetes treatment may modify this association, but existing evidence is conflicting. We therefore aimed to assess the association between metformin therapy and risk of incident all-cause dementia or MCI compared with other oral glucose-lowering therapies (GLTs). RESEARCH DESIGN AND METHODS We conducted an observational cohort study using the Clinical Practice Research Datalink among UK adults diagnosed with diabetes at ≥40 years between 1990 and 2019. We used an active comparator new user design to compare risks of dementia and MCI among individuals initially prescribed metformin versus an alternative oral GLT using Cox proportional hazards regression controlling for sociodemographic, lifestyle and clinical confounders. We assessed for interaction by age and sex. Sensitivity analyses included an as-treated analysis to mitigate potential exposure misclassification. RESULTS We included 211 396 individuals (median age 63 years; 42.8% female), of whom 179 333 (84.8%) initiated on metformin therapy. Over median follow-up of 5.4 years, metformin use was associated with a lower risk of dementia (adjusted HR (aHR) 0.86 (95% CI 0.79 to 0.94)) and MCI (aHR 0.92 (95% CI 0.86 to 0.99)). Metformin users aged under 80 years had a lower dementia risk (aHR 0.77 (95% CI 0.68 to 0.85)), which was not observed for those aged ≥80 years (aHR 0.95 (95% CI 0.87 to 1.05)). There was no interaction with sex. The as-treated analysis showed a reduced effect size compared with the main analysis (aHR 0.90 (95% CI 0.83 to 0.98)). CONCLUSIONS Metformin use was associated with lower risks of incident dementia and MCI compared with alternative GLT among UK adults with diabetes. While our findings are consistent with a neuroprotective effect of metformin against dementia, further research is needed to reduce risks of confounding by indication and assess causality.
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Affiliation(s)
- William Doran
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Louis Tunnicliffe
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Rutendo Muzambi
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Christopher T Rentsch
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Krishnan Bhaskaran
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Liam Smeeth
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Dylan M Williams
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Sophie V Eastwood
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Susanna J Dunachie
- NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Rohini Mathur
- Centre for Primary Care, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Charlotte Warren-Gash
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
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Gjøra L, Strand BH, Bergh S, Bosnes I, Johannessen A, Livingston G, Skjellegrind HK, Selbæk G. Prevalence and Determinants of Diagnosed Dementia: A Registry Linkage Study Linking Diagnosis of Dementia in the Population-Based HUNT Study to Registry Diagnosis of Dementia in Primary Care and Hospitals in Norway. J Alzheimers Dis 2024; 99:363-375. [PMID: 38701153 DOI: 10.3233/jad-240037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Background A timely diagnosis of dementia can be beneficial for providing good support, treatment, and care, but the diagnostic rate remains unknown and is probably low. Objective To determine the dementia diagnostic rate and to describe factors associated with diagnosed dementia. Methods This registry linkage study linked information on research-based study diagnoses of all-cause dementia and subtypes of dementias, Alzheimer's disease, and related dementias, in 1,525 participants from a cross-sectional population-based study (HUNT4 70+) to dementia registry diagnoses in both primary-care and hospital registries. Factors associated with dementia were analyzed with multiple logistic regression. Results Among those with research-based dementia study diagnoses in HUNT4 70+, 35.6% had a dementia registry diagnosis in the health registries. The diagnostic rate in registry diagnoses was 19.8% among home-dwellers and 66.0% among nursing home residents. Of those with a study diagnosis of Alzheimer's disease, 35.8% (95% confidence interval (CI) 32.6-39.0) had a registry diagnosis; for those with a study diagnosis of vascular dementia, the rate was 25.8% (95% CI 19.2-33.3) and for Lewy body dementias and frontotemporal dementia, the diagnosis rate was 63.0% (95% CI 48.7-75.7) and 60.0% (95% CI 43.3-75.1), respectively. Factors associated with having a registry diagnosis included dementia in the family, not being in the youngest or oldest age group, higher education, more severe cognitive decline, and greater need for help with activities of daily living. Conclusions Undiagnosed dementia is common, as only one-third of those with dementia are diagnosed. Diagnoses appear to be made at a late stage of dementia.
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Affiliation(s)
- Linda Gjøra
- The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Psychiatry, Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
- Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Bjørn Heine Strand
- The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
- Department of Physical Health and Ageing, Norwegian institute of Public Health, Oslo, Norway
| | - Sverre Bergh
- The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Research Centre for Age-related Functional Decline and Disease, Innlandet Hospital Trust, Ottestad, Norway
| | - Ingunn Bosnes
- Department of Psychiatry, Namsos Hospital, Nord-Trøndelag Hospital Trust, Namsos, Norway
| | - Aud Johannessen
- The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
| | - Gill Livingston
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
| | - Håvard Kjesbu Skjellegrind
- Department of Public Health and Nursing, HUNT Research Centre, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Geir Selbæk
- The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
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Chen Y, Bandosz P, Stoye G, Liu Y, Wu Y, Lobanov-Rostovsky S, French E, Kivimaki M, Livingston G, Liao J, Brunner EJ. Dementia incidence trend in England and Wales, 2002-19, and projection for dementia burden to 2040: analysis of data from the English Longitudinal Study of Ageing. Lancet Public Health 2023; 8:e859-e867. [PMID: 37898518 PMCID: PMC10958989 DOI: 10.1016/s2468-2667(23)00214-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 08/25/2023] [Accepted: 09/06/2023] [Indexed: 10/30/2023]
Abstract
BACKGROUND Dementia incidence declined in many high-income countries in the 2000s, but evidence on the post-2010 trend is scarce. We aimed to analyse the temporal trend in England and Wales between 2002 and 2019, considering bias and non-linearity. METHODS Population-based panel data representing adults aged 50 years and older from the English Longitudinal Study of Ageing were linked to the mortality register across wave 1 (2002-03) to wave 9 (2018-19) (90 073 person observations). Standard criteria based on cognitive and functional impairment were used to ascertain incident dementia. Crude incidence rates were determined in seven overlapping initially dementia-free subcohorts each followed up for 4 years (ie, 2002-06, 2004-08, 2006-10, 2008-12, 2010-14, 2012-16, and 2014-18). We examined the temporal trend of dementia incidence according to age, sex, and educational attainment. We estimated the trend of dementia incidence adjusted by age and sex with Cox proportional hazards and multistate models. Restricted cubic splines allowed for potential non-linearity in the time trend. A Markov model was used to project future dementia burden considering the estimated incidence trend. FINDINGS Incidence rate standardised by age and sex declined from 2002 to 2010 (from 10·7 to 8·6 per 1000 person-years), then increased from 2010 to 2019 (from 8·6 to 11·3 per 1000 person-years). Adjusting for age and sex, and accounting for missing dementia cases due to death, estimated dementia incidence declined by 28·8% from 2002 to 2008 (incidence rate ratio 0·71, 95% CI 0·58-0·88), and increased by 25·2% from 2008 to 2016 (1·25, 1·03-1·54). The group with lower educational attainment had a smaller decline in dementia incidence from 2002 to 2008 and a greater increase after 2008. If the upward incidence trend continued, there would be 1·7 million (1·62-1·75) dementia cases in England and Wales by 2040, 70% more than previously forecast. INTERPRETATION Dementia incidence might no longer be declining in England and Wales. If the upward trend since 2008 continues, along with population ageing, the burden on health and social care will be large. FUNDING UK Economic and Social Research Council.
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Affiliation(s)
- Yuntao Chen
- Department of Epidemiology and Public Health, University College London, London, UK.
| | - Piotr Bandosz
- Division of Prevention Medicine & Education, Medical University of Gdansk, Gdansk, Poland
| | | | - Yuyang Liu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yanjuan Wu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | | | - Eric French
- Faculty of Economics, University of Cambridge, Cambridge, UK
| | - Mika Kivimaki
- Division of Psychiatry, University College London, London, UK
| | - Gill Livingston
- Division of Psychiatry, University College London, London, UK
| | - Jing Liao
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Eric J Brunner
- Department of Epidemiology and Public Health, University College London, London, UK
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8
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Nichols E, Lee J. Updating estimated trends in dementia incidence: evidence of increases in England. Lancet Public Health 2023; 8:e830-e831. [PMID: 37898511 DOI: 10.1016/s2468-2667(23)00222-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 09/19/2023] [Indexed: 10/30/2023]
Affiliation(s)
- Emma Nichols
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
| | - Jinkook Lee
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA; Department of Economics, University of Southern California, Los Angeles, CA, USA
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9
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Banerjee S, Farina N, Henderson C, High J, Stirling S, Shepstone L, Fountain J, Ballard C, Bentham P, Burns A, Fox C, Francis P, Howard R, Knapp M, Leroi I, Livingston G, Nilforooshan R, Nurock S, O'Brien J, Price A, Thomas AJ, Swart AM, Telling T, Tabet N. A pragmatic, multicentre, double-blind, placebo-controlled randomised trial to assess the safety, clinical and cost-effectiveness of mirtazapine and carbamazepine in people with Alzheimer's disease and agitated behaviours: the HTA-SYMBAD trial. Health Technol Assess 2023; 27:1-108. [PMID: 37929672 PMCID: PMC10641860 DOI: 10.3310/vpdt7105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2023] Open
Abstract
Background Agitation is common and impacts negatively on people with dementia and carers. Non-drug patient-centred care is first-line treatment, but we need other treatment when this fails. Current evidence is sparse on safer and effective alternatives to antipsychotics. Objectives To assess clinical and cost-effectiveness and safety of mirtazapine and carbamazepine in treating agitation in dementia. Design Pragmatic, phase III, multicentre, double-blind, superiority, randomised, placebo-controlled trial of the clinical effectiveness of mirtazapine over 12 weeks (carbamazepine arm discontinued). Setting Twenty-six UK secondary care centres. Participants Eligibility: probable or possible Alzheimer's disease, agitation unresponsive to non-drug treatment, Cohen-Mansfield Agitation Inventory score ≥ 45. Interventions Mirtazapine (target 45 mg), carbamazepine (target 300 mg) and placebo. Outcome measures Primary: Cohen-Mansfield Agitation Inventory score 12 weeks post randomisation. Main economic outcome evaluation: incremental cost per six-point difference in Cohen-Mansfield Agitation Inventory score at 12 weeks, from health and social care system perspective. Data from participants and informants at baseline, 6 and 12 weeks. Long-term follow-up Cohen-Mansfield Agitation Inventory data collected by telephone from informants at 6 and 12 months. Randomisation and blinding Participants allocated 1 : 1 : 1 ratio (to discontinuation of the carbamazepine arm, 1 : 1 thereafter) to receive placebo or carbamazepine or mirtazapine, with treatment as usual. Random allocation was block stratified by centre and residence type with random block lengths of three or six (after discontinuation of carbamazepine, two or four). Double-blind, with drug and placebo identically encapsulated. Referring clinicians, participants, trial management team and research workers who did assessments were masked to group allocation. Results Two hundred and forty-four participants recruited and randomised (102 mirtazapine, 102 placebo, 40 carbamazepine). The carbamazepine arm was discontinued due to slow overall recruitment; carbamazepine/placebo analyses are therefore statistically underpowered and not detailed in the abstract. Mean difference placebo-mirtazapine (-1.74, 95% confidence interval -7.17 to 3.69; p = 0.53). Harms: The number of controls with adverse events (65/102, 64%) was similar to the mirtazapine group (67/102, 66%). However, there were more deaths in the mirtazapine group (n = 7) by week 16 than in the control group (n = 1). Post hoc analysis suggests this was of marginal statistical significance (p = 0.065); this difference did not persist at 6- and 12-month assessments. At 12 weeks, the costs of unpaid care by the dyadic carer were significantly higher in the mirtazapine than placebo group [difference: £1120 (95% confidence interval £56 to £2184)]. In the cost-effectiveness analyses, mean raw and adjusted outcome scores and costs of the complete cases samples showed no differences between groups. Limitations Our study has four important potential limitations: (1) we dropped the proposed carbamazepine group; (2) the trial was not powered to investigate a mortality difference between the groups; (3) recruitment beyond February 2020, was constrained by the COVID-19 pandemic; and (4) generalisability is limited by recruitment of participants from old-age psychiatry services and care homes. Conclusions The data suggest mirtazapine is not clinically or cost-effective (compared to placebo) for agitation in dementia. There is little reason to recommend mirtazapine for people with dementia with agitation. Future work Effective and cost-effective management strategies for agitation in dementia are needed where non-pharmacological approaches are unsuccessful. Study registration This trial is registered as ISRCTN17411897/NCT03031184. Funding This project was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 27, No. 23. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Sube Banerjee
- Faculty of Health, University of Plymouth, Plymouth, UK
| | - Nicolas Farina
- Faculty of Health, University of Plymouth, Plymouth, UK
- Centre for Dementia Studies, Brighton and Sussex Medical School, University of Sussex, Brighton and Hove, UK
| | - Catherine Henderson
- Care Policy and Evaluation Centre, London School of Economics and Political Science, London, UK
| | - Juliet High
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, Norfolk, UK
| | - Susan Stirling
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, Norfolk, UK
| | - Lee Shepstone
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, Norfolk, UK
| | - Julia Fountain
- Coordinator for Service User and Carer Involvement in Research, Sussex Partnership NHS Foundation Trust, Brighton and Hove, UK
| | - Clive Ballard
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Peter Bentham
- Birmingham and Solihull Mental Health Foundation NHS Trust, Birmingham, UK
| | - Alistair Burns
- Department of Psychiatry, University of Manchester, Manchester, UK
| | - Chris Fox
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, Norfolk, UK
| | - Paul Francis
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK
| | - Martin Knapp
- Care Policy and Evaluation Centre, London School of Economics and Political Science, London, UK
| | - Iracema Leroi
- Department of Psychiatry, Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gill Livingston
- Division of Psychiatry, University College London, London, UK
| | - Ramin Nilforooshan
- Research and Development, Surrey and Borders Partnership NHS Foundation Trust, Leatherhead, UK
| | - Shirley Nurock
- Former Carer, Alzheimer's Society Research Network, London, UK
| | - John O'Brien
- Department of Psychiatry, University of Cambridge School of Medicine, Cambridge, UK
| | - Annabel Price
- Cambridgeshire and Peterborough Foundation Trust, Cambridge, UK
| | - Alan J Thomas
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Ann Marie Swart
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, Norfolk, UK
| | - Tanya Telling
- Joint Clinical Research Office, University of Sussex, Brighton, UK
| | - Naji Tabet
- Centre for Dementia Studies, Brighton and Sussex Medical School, University of Sussex, Brighton and Hove, UK
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Olazarán J, Carnero-Pardo C, Fortea J, Sánchez-Juan P, García-Ribas G, Viñuela F, Martínez-Lage P, Boada M. Prevalence of treated patients with Alzheimer's disease: current trends and COVID-19 impact. Alzheimers Res Ther 2023; 15:130. [PMID: 37537656 PMCID: PMC10401753 DOI: 10.1186/s13195-023-01271-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 07/11/2023] [Indexed: 08/05/2023]
Abstract
BACKGROUND There are few updated studies on the prevalence and management of Alzheimer's disease (AD), which could be underdiagnosed or undertreated. The COVID-19 pandemic may have worsened the deficiencies in the diagnosis and treatment of these patients. Electronic medical records (EMR) offer an opportunity to assess the impact and management of medical processes and contingencies in the population. OBJECTIVE To estimate AD prevalence in Spain over a 6-year period, based on treated patients, according to usual clinical practice. Additionally, to describe the management of AD-treated patients and the evolution of that treatment during the 2020 COVID-19 pandemic. METHODS Retrospective study using the Spanish IQVIA EMR database. Patients treated with donepezil, galantamine, rivastigmine, and/or memantine were included in the study. Annual AD prevalence (2015-2020) was estimated and extrapolated to the national population level. Most frequent treatments and involved specialties were described. To assess the effect of COVID-19, the incidence of new AD cases in 2020 was calculated and compared with newly diagnosed cases in 2019. RESULTS Crude AD prevalence (2015-2020) was estimated at 760.5 per 100,000 inhabitants, and age-standardized prevalence (2020) was 664.6 (male 595.7, female 711.0). Monotherapy was the most frequent way to treat AD (86.2%), in comparison with dual therapy (13.8%); rivastigmine was the most prescribed treatment (37.3%), followed by memantine (36.4%) and donepezil (33.0%). Rivastigmine was also the most utilized medication in newly treated patients (46.7%), followed by donepezil (29.8%), although donepezil persistence was longer (22.5 vs. 20.6 months). Overall, donepezil 10 mg, rivastigmine 9.5 mg, and memantine 20 mg were the most prescribed presentations. The incidence rate of AD decreased from 148.1/100,000 (95% confidence interval [CI] 147.0-149.2) in 2019 to 118.4/100,000 (95% CI 117.5-119.4) in 2020. CONCLUSIONS The obtained prevalence of AD-treated patients was consistent with previous face-to-face studies. In contrast with previous studies, rivastigmine, rather than donepezil, was the most frequent treatment. A decrease in the incidence of AD-treated patients was observed during 2020 in comparison with 2019, presumably due to the significant impact of the COVID-19 pandemic on both diagnosis and treatment. EMR databases emerge as valuable tools to monitor in real time the incidence and management of medical conditions in the population, as well as to assess the health impact of global contingencies and interventions.
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Affiliation(s)
- Javier Olazarán
- Unidad de Trastornos de La Memoria, HM Hospitales and Servicio de Neurología, HGU Gregorio Marañón, Madrid, Spain.
| | | | - Juan Fortea
- Memory Unit, Department of Neurology, Hospital de La Santa Creu I Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autónoma de Barcelona, Barcelona, Spain
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Pascual Sánchez-Juan
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Fundación CIEN (Centro de Investigación de Enfermedades Neurológicas), Madrid, Spain
| | | | - Félix Viñuela
- Instituto Neurológico Andaluz, Hospital Victoria Eugenia, Seville y Unidad de Deterioro Cognitivo, Hospital Universitario Virgen Macarena, Sevilla, Spain
| | | | - Mercè Boada
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
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11
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Davies N, Kolodin V, Woodward A, Bhanu C, Jani Y, Manthorpe J, Orlu M, Samsi K, Burnand A, Vickerstaff V, West E, Wilcock J, Rait G. Models of care and the role of clinical pharmacists in UK primary care for older adults: A scoping review protocol. PLoS One 2023; 18:e0276471. [PMID: 37498969 PMCID: PMC10374084 DOI: 10.1371/journal.pone.0276471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 06/06/2023] [Indexed: 07/29/2023] Open
Abstract
INTRODUCTION There has been global investment of new ways of working to support workforce pressures, including investment in clinical pharmacists working in primary care by the NHS in the England. Clinical pharmacists are well suited to support older adults who have multiple long-term conditions and are on multiple medications. It is important to establish an evidence base for the role of clinical pharmacists in supporting older adults in primary care, to inform strategic and research priorities. The aim of this scoping review is to identify, map and describe existing research and policy/guidance on the role of clinical pharmacists in primary care supporting older adults, and the models of care they provide. METHODS AND ANALYSIS A scoping review guided by the Joanne Briggs Institute methodology for scoping reviews, using a three-step strategy. We will search Medline, CINAHL, Scopus, EMBASE, Web of Science, PSYCHInfo, and Cochrane for English language articles, from 2015 -present day. Grey literature will be searched using Grey Matters guidelines, the Index of Grey Literature and Alternative Sources and Resources, and Google keyword searching. References of all included sources will be hand searched to identify further resources. Using the Population, Concept and Context framework for inclusion and exclusion criteria, articles will be independently screened by two reviewers. The inclusion and exclusion criteria will be refined after we become familiar with the search results, following the iterative nature of a scoping review. Data will be extracted using a data extraction tool using Microsoft Excel and presented using a narrative synthesis approach. ETHICS AND DISSEMINATION Ethical approval is not required for this review. Review findings will be disseminated in academic conferences and used to inform subsequent qualitative research. Findings will be published and shared with relevant local and national organisations.
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Affiliation(s)
- Nathan Davies
- Research Department of Primary Care and Population Health, Centre for Ageing Population Studies, University College London, London, United Kingdom
| | - Vladimir Kolodin
- Research Department of Primary Care and Population Health, Centre for Ageing Population Studies, University College London, London, United Kingdom
| | - Abi Woodward
- Research Department of Primary Care and Population Health, Centre for Ageing Population Studies, University College London, London, United Kingdom
| | - Cini Bhanu
- Research Department of Primary Care and Population Health, Centre for Ageing Population Studies, University College London, London, United Kingdom
| | - Yogini Jani
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom
- Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Jill Manthorpe
- NIHR Applied Research Collaborative (ARC) South London, King's College London, London, United Kingdom
- NIHR Policy Research Unit in Health & Social Care Workforce, King's College London, London, United Kingdom
| | - Mine Orlu
- Research Department of Pharmaceutics, UCL School of Pharmacy, University College London, London, United Kingdom
| | - Kritika Samsi
- NIHR Applied Research Collaborative (ARC) South London, King's College London, London, United Kingdom
- NIHR Policy Research Unit in Health & Social Care Workforce, King's College London, London, United Kingdom
| | - Alice Burnand
- Research Department of Primary Care and Population Health, Centre for Ageing Population Studies, University College London, London, United Kingdom
- Department of Clinical and Movement Neurosciences, University College London, London, United Kingdom
| | - Victoria Vickerstaff
- Research Department of Primary Care and Population Health, PRIMENT Clinical Trials Unit, University College London, London, United Kingdom
| | - Emily West
- Research Department of Primary Care and Population Health, Centre for Ageing Population Studies, University College London, London, United Kingdom
| | - Jane Wilcock
- Research Department of Primary Care and Population Health, Centre for Ageing Population Studies, University College London, London, United Kingdom
| | - Greta Rait
- Research Department of Primary Care and Population Health, Centre for Ageing Population Studies, University College London, London, United Kingdom
- Research Department of Primary Care and Population Health, PRIMENT Clinical Trials Unit, University College London, London, United Kingdom
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12
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Adesuyan M, Jani YH, Alsugeir D, Howard R, Wong ICK, Wei L, Brauer R. Trends in the incidence of dementia in people with hypertension in the UK 2000 to 2021. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12466. [PMID: 37529121 PMCID: PMC10387744 DOI: 10.1002/dad2.12466] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 05/23/2023] [Indexed: 08/03/2023]
Abstract
INTRODUCTION We investigated trends in the incidence of dementia in UK adults with hypertension. METHODS Primary care electronic health records from IQVIA Medical Research Data UK, previously known as THIN, were used to identify 2,133,118 adults aged ≥40 years with hypertension over 2000 to 2021. The annual incidence rate and average annual percentage change in recorded dementia diagnoses were estimated and stratified by sex, 10-year age bands, Townsend deprivation quintiles and dementia subtype. RESULTS The crude incidence rate of dementia in people with hypertension increased from 1.98 (95% confidence internal [CI] 1.89-2.07) per 1000 person-years at risk (PYAR) in 2000 to 5.29 per 1000 PYAR (95% CI 5.07-5.53) in 2021, corresponding to an average annual increase of 4.1% (95% CI 3.3-5.0). Those aged ≥80 years, the most economically deprived (Townsend = 5), and Alzheimer's disease subtype reported the highest incidence rate within their respective categories. DISCUSSION The annual incidence rate of dementia in the hypertensive population has increased over the last 22 years. Highlights New dementia diagnosis in the hypertensive population has increased over 22 years.The Alzheimer's disease subtype reported the highest incidence rate in people with hypertension.Difference in dementia incidence between hypertensive females and males has reduced.Difference in dementia incidence among deprivation categories has reduced in recent years.
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Affiliation(s)
- Matthew Adesuyan
- Research Department of Practice and PolicyUCL School of PharmacyLondonUK
- Centre for Medicines Optimisation Research and EducationUniversity College London Hospitals NHS Foundation TrustLondonUK
| | - Yogini H. Jani
- Research Department of Practice and PolicyUCL School of PharmacyLondonUK
- Centre for Medicines Optimisation Research and EducationUniversity College London Hospitals NHS Foundation TrustLondonUK
| | - Dana Alsugeir
- Research Department of Practice and PolicyUCL School of PharmacyLondonUK
- Department of Pharmacy Practice, College of Clinical PharmacyImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia
| | - Robert Howard
- Division of PsychiatryUniversity College LondonLondonUK
| | - Ian C. K. Wong
- Research Department of Practice and PolicyUCL School of PharmacyLondonUK
- Centre for Medicines Optimisation Research and EducationUniversity College London Hospitals NHS Foundation TrustLondonUK
- Centre for Safe Medication Practice and ResearchDepartment of Pharmacology and PharmacyLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Li Wei
- Research Department of Practice and PolicyUCL School of PharmacyLondonUK
| | - Ruth Brauer
- Research Department of Practice and PolicyUCL School of PharmacyLondonUK
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13
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Timmons S, Bracken-Scally M, Chakraborty S, Gallagher P, Hamilton V, Begley E, O'Shea E. Psychotropic Medication Prescribing to Patients with Dementia Admitted to Acute Hospitals in Ireland. Drugs Aging 2023; 40:461-472. [PMID: 36995582 PMCID: PMC10061386 DOI: 10.1007/s40266-023-01020-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/28/2023] [Indexed: 03/31/2023]
Abstract
BACKGROUND Psychotropic medications are commonly prescribed to people with dementia (PwD) for non-cognitive symptoms of dementia (NCSD), but have significant risks. A national audit was performed in acute hospitals in the Republic of Ireland (ROI) to establish baseline practice prior to the launch and implementation of a National Clinical Guideline on the appropriate prescribing of psychotropic medications for NCSD. The objective of this study was to analyse psychotropic prescribing patterns and compare these with international data and with existing (limited) data from a previous audit round. METHODS The pooled anonymous dataset from the second round of the Irish National Audit of Dementia Care (INAD-2) was analysed. The audit had collected retrospective data from 30 random healthcare records from each of 30 acute hospitals in 2019. Inclusion criteria were a clinical diagnosis of dementia of any type, hospital stay of 72 hours or more, and discharge or death within the audit period. Most hospitals (87%) self-audited their healthcare records, but a random sample of six healthcare records (20%) from each hospital were re-audited by a highly trained healthcare auditor. The audit tool was based on a tool used in the England and Wales National Audit of Dementia audit rounds (Royal College of Psychiatrists), adapted to the Irish healthcare setting and national priorities. RESULTS In total, 893 cases were included, as one hospital could not retrieve 30 cases even within a more prolonged audit period. The sample comprised 55% females and 45% males; the median age was 84 years (interquartile range 79-88 years) and the majority (89.6%) were >75 years of age. Only 52% of healthcare records specified the type of dementia; within these, the most common diagnosis was Alzheimer's disease (45%). Most PwD (83%) were receiving psychotropic medication on admission; 40% were prescribed new or increased psychotropic medication during admission, mainly for medical indications, including end-of-life care and delirium. Anticonvulsants or cognitive enhancers were rarely prescribed for NCSD in hospital. However, new/increased antipsychotic medication was prescribed for NCSD in 11.8-17.6% of the total cohort, while 4.5-7.7% were prescribed a benzodiazepine for anxiety or NCSD. Overall, there was poor documentation of risk/benefit, or of discussion with the patient/family, and apparently inadequate review for efficacy and tolerability. Concurrently, acetylcholinesterase inhibitors appeared to be underused for cognitive impairment in the community. CONCLUSION This audit provides baseline data on psychotropic medication prescription for NCSD in Irish hospitals prior to a specific Irish guideline on this topic. Reflecting this, most PwD were receiving psychotropic medications on admission, and many were prescribed new/increased psychotropic medication in hospital, often without evidence of appropriate decision making and prescribing processes.
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Affiliation(s)
- Suzanne Timmons
- Centre for Gerontology and Rehabilitation, School of Medicine, University College Cork, Cork, Ireland
| | | | - Shelly Chakraborty
- Centre for Gerontology and Rehabilitation, School of Medicine, University College Cork, Cork, Ireland
| | | | | | - Emer Begley
- National Dementia Office, Health Service Executive, Tullamore, Ireland
| | - Emma O'Shea
- Centre for Gerontology and Rehabilitation, School of Medicine, University College Cork, Cork, Ireland.
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Padovani A, Falato S, Pegoraro V. Extemporaneous combination of donepezil and memantine to treat dementia in Alzheimer disease: evidence from Italian real-world data. Curr Med Res Opin 2023; 39:567-577. [PMID: 36803101 DOI: 10.1080/03007995.2023.2182530] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
OBJECTIVE Providing evidence on donepezil and memantine administration as extemporaneous combination (DM-EXT) to treat Alzheimer Disease (AD) in Italy, and describing demographic and clinical features of AD patients prescribed DM-EXT. METHODS Retrospective observational study using IQVIA Italian LifeLink Treatment Dynamics (LRx) and Longitudinal Patient Database (LPD). Prevalent users of DM-EXT were identified on the databases (cohorts DMpLRx and DMpLPD) including patients with donepezil and memantine overlapping prescriptions during the selection period (DMpLRx: "July 2018-June 2021"; DMpLPD: "July 2012-June 2021"). Demographic and clinical profiles of patients were provided. Starting from cohort DMpLPD, new users of DM-EXT were selected to calculate treatment adherence. Three additional cohorts of prevalent users of DM-EXT were identified on IQVIA LRx over subsequent 12-month periods, from July 2018 to June 2021, to get national-level yearly estimates accounting for database representativeness. RESULTS Cohorts DMpLRx and DMpLPD included 9862 and 708 patients, respectively. For both cohorts, two-third of patients were female, and more than half were aged 80+. Concomitant conditions and co-treatments prevalence was very high; most frequent comorbidities included psychiatric and cardiovascular diseases. An intermediate-to-high adherence was observed in 57% of DM-EXT new users. National-level yearly estimates showed an increasing trend (+4%) in DM-EXT prescription, which led to estimate about 10,000 patients being treated during the period "July 2020-June 2021". CONCLUSIONS Prescription of DM-EXT is a common practice in Italy. Because the administration of fixed-dose (FDCs) instead of extemporaneous combinations improves treatment adherence, the introduction of an FDC containing donepezil and memantine might enhance AD patients' management and reduce caregiver burden.
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Affiliation(s)
- Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Serena Falato
- RWS Department, IQVIA Solutions Italy S.r.l, Milan, Italy
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15
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Watt JA, Bronskill SE, Lin M, Youngson E, Ho J, Hemmelgarn B, Straus SE, Gruneir A. Comparative Risk of Harm Associated with Zopiclone or Trazodone Use in Nursing Home Residents: a Retrospective Cohort Study in Alberta, Canada. Can Geriatr J 2023; 26:9-22. [PMID: 36865408 PMCID: PMC9953503 DOI: 10.5770/cgj.26.622] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/04/2023] Open
Abstract
Background There is growing evidence of harm associated with trazodone and nonbenzodiazepine sedative hypnotics (e.g., zopiclone); however, their comparative risk of harm is unknown. Methods We conducted a retrospective cohort study with linked health administrative data, which enrolled older (≥66 years old) nursing home residents living in Alberta, Canada, between December 1, 2009, and December 31, 2018; the last follow-up date was June 30, 2019. We compared the rate of injurious falls and major osteoporotic fractures (primary outcome) and all-cause mortality (secondary outcome) within 180 days of first prescription of zopiclone or trazodone with cause-specific hazard models and inverse probability of treatment weights to control for confounding; primary analysis was intention-to-treat and secondary analysis was per-protocol (i.e., residents censored if dispensed the other exposure drug). Results Our cohort included 1,403 residents newly dispensed trazodone and 1,599 residents newly dispensed zopiclone. At cohort entry, the mean resident age was 85.7 (standard deviation [SD] 7.4), 61.6% were female, and 81.2% had dementia. New zopiclone use was associated with similar rates of injurious falls and major osteoporotic fractures (intention-to-treat-weighted hazard ratio 1.15, 95% confidence interval [CI] 0.90-1.48; per-protocol-weighted hazard ratio 0.85, 95% CI 0.60-1.21) and all-cause mortality (intention-to-treat-weighted hazard ratio 0.96, 95% CI 0.79-1.16; per-protocol-weighted hazard ratio 0.90, 95% CI 0.66-1.23) compared to trazodone. Conclusions Zopiclone was associated with a similar rate of injurious falls, major osteoporotic fractures, and all-cause mortality compared to trazodone-suggesting one medication should not be used in lieu of the other. Appropriate prescribing initiatives should also target zopiclone and trazodone.
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Affiliation(s)
- Jennifer A. Watt
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital-Unity Health Toronto, Toronto, ON,Division of Geriatric Medicine, Department of Medicine, University of Toronto, Toronto, ON,ICES, Toronto, ON,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON
| | - Susan E. Bronskill
- ICES, Toronto, ON,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON
| | - Meng Lin
- Data and Research Services, Alberta SPOR Support Unit and Provincial Research Data Services, Alberta Health Services, Edmonton, AB
| | - Erik Youngson
- Data and Research Services, Alberta SPOR Support Unit and Provincial Research Data Services, Alberta Health Services, Edmonton, AB
| | - Joanne Ho
- Division of Geriatric Medicine, Department of Medicine, McMaster University, Kitchener, ON,Schlegel Research Institute for Aging, University of Waterloo, Waterloo, ON
| | - Brenda Hemmelgarn
- Faculty of Medicine and Dentistry, University of Alberta, WC Mackenzie Health Sciences Centre, Edmonton, AB
| | - Sharon E. Straus
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital-Unity Health Toronto, Toronto, ON,Division of Geriatric Medicine, Department of Medicine, University of Toronto, Toronto, ON,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON
| | - Andrea Gruneir
- Department of Family Medicine, University of Alberta, Edmonton, AB
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16
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Huang J, Su B, Karhunen V, Gill D, Zuber V, Ahola-Olli A, Palaniswamy S, Auvinen J, Herzig KH, Keinänen-Kiukaanniemi S, Salmi M, Jalkanen S, Lehtimäki T, Salomaa V, Raitakari OT, Matthews PM, Elliott P, Tsilidis KK, Jarvelin MR, Tzoulaki I, Dehghan A. Inflammatory Diseases, Inflammatory Biomarkers, and Alzheimer Disease: An Observational Analysis and Mendelian Randomization. Neurology 2023; 100:e568-e581. [PMID: 36384659 PMCID: PMC9946179 DOI: 10.1212/wnl.0000000000201489] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 09/14/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Whether chronic autoimmune inflammatory diseases causally affect the risk of Alzheimer disease (AD) is controversial. We characterized the relationship between inflammatory diseases and risk of AD and explored the role of circulating inflammatory biomarkers in the relationships between inflammatory diseases and AD. METHODS We performed observational analyses for chronic autoimmune inflammatory diseases and risk of AD using data from 2,047,513 participants identified in the UK Clinical Practice Research Datalink (CPRD). Using data of a total of more than 1,100,000 individuals from 15 large-scale genome-wide association study data sets, we performed 2-sample Mendelian randomizations (MRs) to investigate the relationships between chronic autoimmune inflammatory diseases, circulating inflammatory biomarker levels, and risk of AD. RESULTS Cox regression models using CPRD data showed that the overall incidence of AD was higher among patients with inflammatory bowel disease (hazard ratio [HR] 1.17; 95% CI 1.15-1.19; p = 2.1 × 10-4), other inflammatory polyarthropathies and systematic connective tissue disorders (HR 1.13; 95% CI 1.12-1.14; p = 8.6 × 10-5), psoriasis (HR 1.13; 95% CI 1.10-1.16; p = 2.6 × 10-4), rheumatoid arthritis (HR 1.08; 95% CI 1.06-1.11; p = 4.0 × 10-4), and multiple sclerosis (HR 1.06; 95% CI 1.04-1.07; p = 2.8 × 10-4) compared with the age (±5 years) and sex-matched comparison groups free from all inflammatory diseases under investigation. Bidirectional MR analysis identified relationships between chronic autoimmune inflammatory diseases and circulating inflammatory biomarkers. Particularly, circulating monokine induced by gamma interferon (MIG) level was suggestively associated with a higher risk of AD (odds ratio from inverse variance weighted [ORIVW] 1.23; 95% CI 1.06-1.42; p IVW = 0.007) and lower risk of Crohn disease (ORIVW 0.73; 95% CI -0.62 to 0.86; p IVW = 1.3 × 10-4). Colocalization supported a common causal single nucleotide polymorphism for MIG and Crohn disease (posterior probability = 0.74), but not AD (posterior probability = 0.03). Using a 2-sample MR approach, genetically predicted risks of inflammatory diseases were not associated with higher AD risk. DISCUSSION Our data suggest that the association between inflammatory diseases and risk of AD is unlikely to be causal and may be a result of confounding. In support, although inflammatory biomarkers showed evidence for causal associations with inflammatory diseases, evidence was weak that they affected both inflammatory disease and AD.
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Affiliation(s)
- Jian Huang
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Bowen Su
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Ville Karhunen
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Dipender Gill
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Verena Zuber
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Ari Ahola-Olli
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Saranya Palaniswamy
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Juha Auvinen
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Karl-Heinz Herzig
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Sirkka Keinänen-Kiukaanniemi
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Marko Salmi
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Sirpa Jalkanen
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Terho Lehtimäki
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Veikko Salomaa
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Olli T Raitakari
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Paul M Matthews
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Paul Elliott
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Konstantinos K Tsilidis
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Marjo-Riitta Jarvelin
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Ioanna Tzoulaki
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Abbas Dehghan
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom.
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Mallick A, Biffi A. Diagnostic and Management Strategies for Common Neurobehavioral and Psychiatric Disturbances Among Patients with Cognitive Impairment and the Dementias. Clin Geriatr Med 2023; 39:161-175. [PMID: 36404029 DOI: 10.1016/j.cger.2022.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Neurobehavioral and neuropsychiatric symptoms are highly prevalent among individuals diagnosed with cognitive impairment or dementia and impact the quality of life for patients and caregivers alike. Diagnosis and management of these conditions (including primarily depression, anxiety, apathy, psychosis, agitation, and aggression) is crucial to optimal patient care outcomes in clinical practice. The present article provides a practical review of diagnostic approaches and management strategies for behavioral and neuropsychiatric disorders arising in patients with cognitive impairment, up to and including dementia.
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Affiliation(s)
- Akashleena Mallick
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Henry and Allison McCance Center for Brain Health, 100 Cambridge Street, Room 2054, Boston, MA 02144, USA
| | - Alessandro Biffi
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Henry and Allison McCance Center for Brain Health, 100 Cambridge Street, Room 2054, Boston, MA 02144, USA.
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Kumar CS, Varghese M, Duddu V, Vaitheswaran S, Srivastava S, Shaji KS, George S, Singh NK, Goyal N, Bakhla A, Shaji S, Menon V, Hussain T, Grover S, Mehra A, Singh LK, Purushotham A, Desousa A, Shah N, Karia S, Anand I, Afroon S, Mehta R, Kukreja G, Dadarwala D, Vidya KL, Sivakumar PT, Sinha P, Reddy S, Isaac T, Chandra M. Indian Psychiatric Society multicentre study: Diagnostic patterns, comorbidity and prescription practices for patients with Dementia. Indian J Psychiatry 2023; 65:52-60. [PMID: 36874514 PMCID: PMC9983449 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_736_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 06/26/2022] [Accepted: 12/12/2022] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND There are more than 5 million people with dementia in India. Multicentre studies looking at details of treatment for people with dementia In India are lacking. Clinical audit is a quality improvement process which aims to systematically assess, evaluate, and improve patient care. Evaluating current practice is the key to a clinical audit cycle. AIM This study aimed to assess the diagnostic patterns and prescribing practices of psychiatrists for patients with dementia in India. METHOD A retrospective case file study was conducted across several centers in India. RESULTS Information from the case records of 586 patients with dementia was obtained. Mean age of the patients was 71.14 years (standard deviation = 9.42). Three hundred twenty one (54.8%) were men. Alzheimer's disease (349; 59.6%) was the most frequent diagnosis followed by vascular dementia (117; 20%). Three hundred fifty five (60.6%) patients had medical disorders and 47.4% patients were taking medications for their medical conditions. Eighty one (69.2%) patients with vascular dementia had cardiovascular problems. Majority of the patients (524; 89.4%) were on medications for dementia. Most frequently prescribed treatment was Donepezil (230; 39.2%) followed by Donepezil-Memantine combination (225; 38.4%). Overall, 380 (64.8%) patients were on antipsychotics. Quetiapine (213, 36.3%) was the most frequently used antipsychotic. Overall, 113 (19.3%) patients were on antidepressants, 80 (13.7%) patients were on sedatives/hypnotics, and 16 (2.7%) patients were on mood stabilizers. Three hundred nineteen (55.4%) patients and caregivers of 374 (65%) patients were receiving psychosocial interventions. CONCLUSIONS Diagnostic and prescription patterns in dementia which emerged from this study are comparable to other studies both nationally and internationally. Comparing current practices at individual and national levels against accepted guidelines, obtaining feedback, identifying gaps and instituting remedial measures help to improve the standard of care provided.
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Affiliation(s)
- Ct Sudhir Kumar
- Alzheimer's and Related Disorders Society of India (ARDSI) - Kottayam Chapter, Aymanam, Kerala, India
| | - Mathew Varghese
- Department of Psychiatry, NIMHANS, Bengaluru, Karnataka, India
| | | | - Sridhar Vaitheswaran
- Dementia Care in SCARF - DEMCARES, Schizophrenia Research Foundation (SCARF) Chennai, Tamil Nadu, India
| | - Shrikant Srivastava
- Department of Geriatric Mental Health, King George's Medical University, Lucknow, UP, India
| | - K S Shaji
- Kerala University of Health Sciences, Thrissur, Kerala, India
| | - Sanju George
- Department of Psychology, Rajagiri College of Social Sciences, Kalamassery, Ernakulam, Kerala, India
| | - Narendra Kumar Singh
- Department of Psychiatry, Central Institute of Psychiatry, Kanke, Ranchi, Jharkhand, India
| | - Nishant Goyal
- Department of Psychiatry, Central Institute of Psychiatry, Kanke, Ranchi, Jharkhand, India
| | - Ajay Bakhla
- Department of Psychiatry, Rajendra Institute of Medical Sciences, Bariyatu, Ranchi, India
| | - S Shaji
- Bethseda Hospital, Vengola, Perumbavoor, Kerala, India
| | - Vikas Menon
- Department of Psychiatry, JIPMER, Puducherry, India
| | - Tajamul Hussain
- Department of Psychiatry, Government Medical College, Baramulla, Jammu and Kashmir, India
| | - Sandeep Grover
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Aseem Mehra
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Lokesh Kumar Singh
- Department of Psychiatry, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India
| | - A Purushotham
- Department of Psychiatry, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India
| | - Avinash Desousa
- Department of Psychiatry, Lokmanya Tilak Municipal Medical College Mumbai, Maharashra, India
| | - Nilesh Shah
- Department of Psychiatry, Lokmanya Tilak Municipal Medical College Mumbai, Maharashra, India
| | - Sagar Karia
- Department of Psychiatry, Lokmanya Tilak Municipal Medical College Mumbai, Maharashra, India
| | - I Anand
- Department of Psychiatry, PSGIMS&R, Peelamedu Coimbatore, Tamil Nadu, India
| | - Shafana Afroon
- Department of Psychiatry, PSGIMS&R, Peelamedu Coimbatore, Tamil Nadu, India
| | - Ritambhara Mehta
- Department of Psychiatry, Government Medical College, Surat, Gujarat, India
| | - Gargi Kukreja
- Department of Psychiatry, Government Medical College, Surat, Gujarat, India
| | - Dimple Dadarwala
- Department of Psychiatry, Government Medical College, Surat, Gujarat, India
| | - K L Vidya
- Department of Geriatric Mental Health, King George's Medical University, Lucknow, UP, India
| | - P T Sivakumar
- Department of Psychiatry, NIMHANS, Bengaluru, Karnataka, India
| | - Preeti Sinha
- Department of Psychiatry, NIMHANS, Bengaluru, Karnataka, India
| | | | - Thomas Isaac
- Department of Psychiatry, NIMHANS, Bengaluru, Karnataka, India
| | - Mina Chandra
- Department of Psychiatry, Atal Bihari Vajpayee Institute of Medical Sciences and Dr Ram Manohar Lohia Hospital, New Delhi, India
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Ronchetto F, Ronchetto M. The intricate connection between depression and dementia as a major challenge for clinicians. JOURNAL OF GERONTOLOGY AND GERIATRICS 2022. [DOI: 10.36150/2499-6564-n518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Collinson M, Mason E, Kelley R, Griffiths A, Ashley L, Henry A, Inman H, Cowdell F, Hennell J, Jones L, Walsh M, Ogden M, Farrin A, Surr C. Characteristics and general practice resource use of people with comorbid cancer and dementia in England: a retrospective cross-sectional study. BMC PRIMARY CARE 2022; 23:281. [PMID: 36371194 PMCID: PMC9655793 DOI: 10.1186/s12875-022-01882-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 10/20/2022] [Indexed: 11/13/2022]
Abstract
Background Cancer and dementia are common in older people and management of the conditions as comorbidities can be challenging, yet little is known about the size or characteristics of this group. We aimed to estimate the prevalence, characteristics and general practice resource usage of people living with both conditions in England. Methods Anonymised electronic healthcare records from 391 National Health Service general practices across England using the TPP SystmOne general practice system were obtained from ResearchOne. Data included demographic and clinical characteristics, and general practice healthcare useage (appointments, prescriptions, referrals and secondary care contacts) for people aged 50 and over with a cancer and/or dementia diagnosis consistent with the Quality and Outcomes Framework between 2005 and 2016. Multi-level negative binomial regression was used to analyse the association between having cancer and/or dementia and the number of general practice appointments. Results Data from 162,371 people with cancer and/or dementia were analysed; 3616 (2.2%) people were identified as having comorbid cancer and dementia. Of people with cancer, 3.1% also had dementia, rising to 7.5% (1 in 13 people) in those aged 75 and over. Fewer people with both conditions were female (50.7%) compared to those with dementia alone (65.6%) and those with comorbid cancer and dementia were older than those with cancer alone [mean ages 83 (sd = 7), 69 (sd = 12) respectively]. Those with both conditions were less likely to have lung cancer than those with cancer alone (7.5% vs. 10.3%) but more likely to have prostate cancer (20.9% vs. 15.8%). Additional comorbidities were more prevalent for those with both conditions than those with cancer or dementia alone (68.4% vs. 50.2% vs. 54.0%). In the year following the first record of either condition, people with cancer and dementia had 9% more general practice appointments (IRR:1.09, 95% CI:1.01–1.17) than those with cancer alone and 37% more appointments than those with dementia alone (IRR: 1.37, 95% CI: 1.28–1.47). Conclusions A significant number of people are living with comorbid cancer and dementia in England. This group have additional comorbidity and higher general practice usage than those with cancer/dementia alone. The needs of this group should be considered in future general practice care planning and research. Supplementary Information The online version contains supplementary material available at 10.1186/s12875-022-01882-w.
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Beerten SG, Helsen A, De Lepeleire J, Waldorff FB, Vaes B. Trends in prevalence and incidence of registered dementia and trends in multimorbidity among patients with dementia in general practice in Flanders, Belgium, 2000-2021: a registry-based, retrospective, longitudinal cohort study. BMJ Open 2022; 12:e063891. [PMID: 36323468 PMCID: PMC9639092 DOI: 10.1136/bmjopen-2022-063891] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
OBJECTIVES With the ageing of our population, it seems plausible that the prevalence of both dementia and multimorbidity will increase in the following decades. The aim of this study is to examine the trends in prevalence and incidence of registered dementia and trends in multimorbidity in patients with dementia in general practice in Flanders. DESIGN Retrospective, longitudinal cohort study. SETTING Primary care practices across Flanders, Belgium. PARTICIPANTS Patients included in the Intego database. METHODS Data were collected from the Intego database, a Belgian general practice registration network, from 1 January 2000 to 31 December 2021. Joinpoint regression, the Cochran-Armitage test and Jonckheere-Terpstra test were used for the trend analysis. RESULTS Data from 149 492 unique patients aged 65 years and older were available. From 2000 to 2021, 3835 incident cases of dementia were found. The age-adjusted prevalence of registered dementia significantly increased during this study period, from 1.19% to 2.43% (average annual percentage change (AAPC) 3.3; 95% CI 2.7 to 4.0). Incidence increased from 3.68 to 5.86 per 1000 patient years overall (AAPC 1.8, 95% CI -2.0 to 5.7), but declined in recent years (annual percentage change -8.1, 95% CI -14.8 to -0.8). Almost three-quarters of the patients with dementia (74.8%) suffered from multimorbidity (three or more comorbidities) and this increased significantly during the study period (p=0.0031). By 2021, 86.7% and 74.8% of the patients with dementia suffered from two or more or three or more chronic conditions, respectively. Hypertension (47.9%), osteoarthritis (29.7%) and lipid metabolism disorders (25.7%) were the most prevalent conditions. CONCLUSIONS The prevalence of registered dementia doubled over a 22-year time period, mirroring the increasing health burden by this disease globally. Furthermore, three-quarters of the patients with dementia suffered from multimorbidity, underlining the urgent need to implement comorbidity management and patient-centred care in dementia.
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Affiliation(s)
| | - Antje Helsen
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Jan De Lepeleire
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Frans Boch Waldorff
- Department of Public Health, Research Unit for General Practice and Section of General Practice, University of Copenhagen, Copenhagen, Denmark
| | - Bert Vaes
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
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22
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Morris L, O'Donovan A, Hashmi A, Agar M. Older adults and the unique role of the radiation therapist: Future directions for improving geriatric oncology training and education. Tech Innov Patient Support Radiat Oncol 2022; 23:21-26. [PMID: 36059564 PMCID: PMC9434163 DOI: 10.1016/j.tipsro.2022.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 08/01/2022] [Accepted: 08/09/2022] [Indexed: 11/17/2022] Open
Abstract
This article reviews the status quo of the available evidence and guidance for geriatric oncology clinical practice, training and education for radiation therapists worldwide. We explore the unique clinical role that radiation therapists play in the management of older adults undergoing radiation therapy. We define multiple clinical care points in which the radiation therapists role could potentially expand or specialise into geriatric screening, assessment and intervention to optimise the care of older adults. Current GO educational offerings and future directions to improve RTT knowledge and skills around caring for older adults are outlined.
There is widespread recognition that the provision of high quality, appropriate and equitable care to older adults with cancer is a growing challenge in oncology practice. Radiation therapy (RT) is an effective and localised treatment that represents an attractive curative or palliative option for many older adults, and radiation therapists (RTT) play an important role in the delivery, support and quality of care for people during RT. The need to develop an evidence-based, global approach to improving all radiation oncology (RO) professionals’ knowledge and clinical practice in geriatric oncology (GO) has been previously identified. This article specifically focusses on the status quo of GO clinical practice and education for RTT worldwide. We explore the unique clinical role that RTT play in the management of older adults with cancer and define multiple clinical care points in which RTT could potentially participate in geriatric screening, geriatric assessment and intervention to optimise the care of older adults, with a focus on dementia. Directions for future efforts to improve the knowledge and clinical skills of RTT in caring for older adults are discussed.
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Affiliation(s)
- Lucinda Morris
- University of Technology Sydney (UTS), Faculty of Health, Improving Palliative, Aged and Chronic Care through Clinical Research and Translation (IMPACCT), Ultimo, NSW, Australia
- St George Cancer Care Centre, St George Hospital, Sydney, NSW, Australia
- Corresponding author at: University of Technology Sydney (UTS), Faculty of Health, Improving Palliative, Aged and Chronic Care through Clinical Research and Translation (IMPACCT), Ultimo, NSW, Australia.
| | - Anita O'Donovan
- Applied Radiation Therapy Trinity (ARTT), Discipline of Radiation Therapy, School of Medicine, Trinity St. James’s Cancer Institute, Trinity College, Dublin, Ireland
| | - Amira Hashmi
- Radiotherapy Department, The Christie NHS Foundation Trust, Manchester, UK
| | - Meera Agar
- University of Technology Sydney (UTS), Faculty of Health, Improving Palliative, Aged and Chronic Care through Clinical Research and Translation (IMPACCT), Ultimo, NSW, Australia
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23
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Deb S(S, Limbu B, Unwin GL, Weaver T. Causes of and Alternatives to Medication for Behaviours That Challenge in People with Intellectual Disabilities: Direct Care Providers' Perspectives. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:9988. [PMID: 36011623 PMCID: PMC9408416 DOI: 10.3390/ijerph19169988] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 08/01/2022] [Accepted: 08/11/2022] [Indexed: 05/10/2023]
Abstract
Behaviours that challenge (BtC), such as aggression and self-injury, are manifested by many people with intellectual disabilities (ID). National and international guidelines recommend non-pharmacological psychosocial intervention before considering medication to address BtC. Support staff play a pivotal role in the prescription process. Using coproduction, we developed a training programme for support staff, called SPECTROM, to give them knowledge and empower them to question inappropriate prescriptions and ask for the discontinuation of medication if appropriate and instead look for ways to help people with ID when they are distressed without relying on medication. We have presented data from two focus groups that we conducted during the development of SPECTROM: one that included support staff, and another that had service managers and trainers. In these focus groups, we explored participants' views on the use of medication to address BtC with a particular emphasis on the causes of and alternatives to medication for BtC. Along with the participants' views, we have also presented how we have addressed these issues in the SPECTROM resources.
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Affiliation(s)
- Shoumitro (Shoumi) Deb
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, 2nd Floor Commonwealth Building, Du Cane Road, London W12 0NN, UK
| | - Bharati Limbu
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, 2nd Floor Commonwealth Building, Du Cane Road, London W12 0NN, UK
| | - Gemma L. Unwin
- School of Psychology, University of Birmingham, 52 Pritchatts Road, Room 314, Edgbaston, Birmingham B15 2TT, UK
| | - Tim Weaver
- Department of Health & Social Care, School of Health Social Care and Education, Middlesex University, London NW4 4BT, UK
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24
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Giger M, Anliker M, Bartelt G. [Polypharmacy and Neuroleptics in Swiss Nursing Homes in the Years 2019 and 2020]. PRAXIS 2022; 111:612-617. [PMID: 35975411 DOI: 10.1024/1661-8157/a003909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Polypharmacy and Neuroleptics in Swiss Nursing Homes in the Years 2019 and 2020 Abstract. We present data from 92404 clinical assessments from 619 Swiss nursing homes . The data were collected in 2019 and 2020 from over 65-year-old residents. Two-thirds of those studied had severe cognitive limitations, one quarter had significant behavioral disorders and just over half of the assessed patients showed signs of emotional instability or depression. 46% were treated with nine or more different drugs, 37% received a neuroleptic in 85% for more than 90 days. There is a positive correlation between the number of drugs taken, age, cognitive impairment and susceptibility to falls. Since neuroleptics are administered in 30% under uncertain indication and the susceptibility to falls is increased by 40% under neuroleptics, their use should be reduced in the course of structured interprofessional processes.
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25
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The impact of healthcare executive seniority on implementation of innovative methods of diagnosis and prevention. Health Policy 2022; 126:996-1001. [PMID: 35882588 DOI: 10.1016/j.healthpol.2022.07.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 09/17/2020] [Accepted: 07/17/2022] [Indexed: 11/21/2022]
Abstract
Innovative methods of diagnosis and prevention play a key role in the survival of healthcare systems as well as the wellbeing of patients. Effective healthcare management is a critical factor in implementing hospital innovation. Healthcare executive (HE) personal and job characteristics such as age and seniority have been found to affect innovative decision-making. However, no study has yet investigated age and seniority effects on the propensity to implement innovation in health prevention strategies. This study fills the literature gap by providing evidence for the effect of HE age and seniority on the implementation of innovative methods for diagnosis and prevention. Predicated on 57 in-depth interviews with HEs, we employ mixed methods research, combining qualitative and quantitative analysis. Structural Equation Modeling was used to test the model's goodness-of-fit. Results show that while HE age and number of years in the organization positively affect job tenure, job tenure, in turn, negatively affects willingness to implement innovative methods of diagnosis and prevention in hospitals. This study extends the Upper-Echelon Theory to health workforce management. Practical implications are discussed.
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26
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Teipel S, Gustafson D, Ossenkoppele R, Hansson O, Babiloni C, Wagner M, Riedel-Heller SG, Kilimann I, Tang Y. Alzheimer Disease: Standard of Diagnosis, Treatment, Care, and Prevention. J Nucl Med 2022; 63:981-985. [PMID: 35145015 PMCID: PMC9258577 DOI: 10.2967/jnumed.121.262239] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 01/24/2022] [Indexed: 01/03/2023] Open
Abstract
Alzheimer disease (AD) is the most frequent cause of dementia in people 60 y old or older. This white paper summarizes the current standards of AD diagnosis, treatment, care, and prevention. Cerebrospinal fluid and PET measures of cerebral amyloidosis and tauopathy allow the diagnosis of AD even before dementia (prodromal stage) and provide endpoints for treatments aimed at slowing the AD course. Licensed pharmacologic symptomatic drugs enhance cholinergic pathways and moderate excess of glutamatergic transmission to stabilize cognition. Disease-modifying experimental drugs moderate or remove brain amyloidosis, but so far with modest clinical effects. Nonpharmacologic interventions and a healthy lifestyle (diet, socioaffective inclusion, cognitive stimulation, physical exercise, and others) provide some beneficial effects. Prevention targets mainly modifiable dementia risk factors such as unhealthy lifestyle, cardiovascular-metabolic and sleep-wake cycle abnormalities, and mental disorders. A major challenge for the future is telemonitoring in the real world of these modifiable risk factors.
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Affiliation(s)
- Stefan Teipel
- Department of Psychosomatic Medicine, University Medical Center Rostock, Rostock, Germany;,Deutsches Zentrum für Neurodegenerative Erkrankungen, Rostock/Greifswald, Rostock, Germany
| | - Deborah Gustafson
- Department of Neurology, Downstate Health Sciences University, State University of New York Brooklyn, New York, New York
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands;,Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - Oskar Hansson
- Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - Claudio Babiloni
- Department of Physiology and Pharmacology “Vittorio Erspamer,” Sapienza University of Rome, Rome, Italy, and San Raffaele Cassino, Cassino, Italy
| | - Michael Wagner
- Department of Neurogenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany;,Deutsches Zentrum für Neurodegenerative Erkrankungen, Bonn, Germany
| | - Steffi G. Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany; and
| | - Ingo Kilimann
- Department of Psychosomatic Medicine, University Medical Center Rostock, Rostock, Germany;,Deutsches Zentrum für Neurodegenerative Erkrankungen, Rostock/Greifswald, Rostock, Germany
| | - Yi Tang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China
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27
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Maltais A, Simard M, Vedel I, Sirois C. Changes in Polypharmacy and Psychotropic Medication Use After Diagnosis of Major Neurocognitive Disorders: A Population-based Study in Québec, Canada. Alzheimer Dis Assoc Disord 2022; 36:222-229. [PMID: 35661072 DOI: 10.1097/wad.0000000000000513] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 04/30/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Older adults with major neurocognitive disorder (MNCD) are often exposed to polypharmacy. We aimed to assess the prescribing and discontinuation patterns of medications following diagnosis of MNCD among community-dwelling older adults. METHODS Using the Quebec Integrated Chronic Disease Surveillance System, we conducted a population-based cohort study comparing 1-year prediagnosis and postdiagnosis use of medications between a group of individuals older than 65 years newly diagnosed with MNCD in 2016-2017 and a control group without MNCD. The difference-in-difference method was used to estimate the prediagnosis and postdiagnosis variation in the number of medications prescribed and in the proportion of psychotropic and anticholinergic medication users. RESULTS In the MNCD group, the mean number of medications used (excluding Alzheimer disease treatments) increased by 1.25 in the year after the diagnosis. The respective increase was 0.45 in the control group, yielding an adjusted difference-in-differences of 0.81 (95% confidence interval: 0.74; 0.87) between groups. The adjusted difference-in-differences in the proportions of antipsychotic, antidepressant, and anticholinergic medication users was 13.2% (12.5; 13.9), 7.1% (6.5; 7.7), and 3.8% (3.1; 4.6), respectively. CONCLUSIONS The medication burden among older adults tends to increase in the year following a diagnosis of MNCD. The use of antipsychotics and antidepressants may explain a part of the observed increase.
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Affiliation(s)
- Annie Maltais
- Department of Social and Preventive Medicine, Faculty of Medicine, Laval University
- Quebec Center of Excellence on Aging, Research Center of the CHU of Quebec
| | - Marc Simard
- Department of Social and Preventive Medicine, Faculty of Medicine, Laval University
- Quebec Center of Excellence on Aging, Research Center of the CHU of Quebec
- Quebec National Institute of Public Health, Québec
| | - Isabelle Vedel
- Quebec National Institute of Public Health, Québec
- Lady Davis Institute of the Jewish General Hospital
- Department of Family Medicine, McGill University, Montreal, QC, Canada
| | - Caroline Sirois
- Faculty of Pharmacy, Laval University
- Quebec Center of Excellence on Aging, Research Center of the CHU of Quebec
- Quebec National Institute of Public Health, Québec
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28
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Tidmore LM, Skrepnek GH. A National Assessment of Alzheimer Disease and Antipsychotic Medication Prescribing Among Older Adults in Ambulatory Care Settings. Alzheimer Dis Assoc Disord 2022; 36:230-237. [PMID: 35700324 DOI: 10.1097/wad.0000000000000509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 03/19/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The objective of this study was to assess antipsychotic prescribing within ambulatory settings in the United States among older adults with Alzheimer disease after adjusting for demographic, provider, and clinical factors. METHODS This cross-sectional cohort study utilized Centers for Disease Control's (CDC) National Ambulatory Medical Care Survey (NAMCS) ambulatory care data from 2014 to 2016 among visits 65 years old or older with any listed diagnosis of Alzheimer. Multivariable logistic regression analyses assessed the association between the outcome of antipsychotic prescribing after controlling for numerous demographic, provider, and clinical covariates. An extension of the Oacaxa-Blinder decomposition was used to assess observed differentials. RESULTS An estimated 15,471,125 ambulatory visits involving Alzheimer disease among those 65 years old or older occurred from 2014 to 2016. Antipsychotics were prescribed in 9.3% of these visits, equating to 6.81 times higher multivariable-adjusted odds relative to non-Alzheimer visits (95% confidence interval: 2.86-16.20, P <0.001). The decomposition analysis indicated that the study's predictor variables explained 15.6% of the outcome gap between Alzheimer versus non-Alzheimer visits. CONCLUSIONS Despite potential mortality risks with antipsychotics in adults 65 years old or older with Alzheimer disease and recommendations discouraging their use, this nationally representative study observed significantly higher odds of prescribing independent of demographic, provider, and clinical characteristics. Polypharmacy may be a risk factor that warrants continued assessment regarding the appropriateness of antipsychotic prescribing in this vulnerable population.
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Affiliation(s)
- Laura M Tidmore
- Department of Clinical and Administrative Sciences, University of Oklahoma College of Pharmacy, Oklahoma City, OK
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29
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Hayat S, Luben R, Khaw KT, Wareham N, Brayne C. Evaluation of routinely collected records for dementia outcomes in UK: a prospective cohort study. BMJ Open 2022; 12:e060931. [PMID: 35705339 PMCID: PMC9204445 DOI: 10.1136/bmjopen-2022-060931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
OBJECTIVES To evaluate the characteristics of individuals recorded as having a dementia diagnosis in different routinely collected records and to examine the extent of overlap of dementia coding across data sources. Also, to present comparisons of secondary and primary care records providing value for researchers using routinely collected records for dementia outcome capture. STUDY DESIGN A prospective cohort study. SETTING AND PARTICIPANTS A cohort of 25 639 men and women in Norfolk, aged 40-79 years at recruitment (1993-1997) followed until 2018 linked to routinely collected to identify dementia cases. Data sources include mortality from death certification and National Health Service (NHS) hospital or secondary care records. Primary care records for a subset of the cohort were also reviewed. PRIMARY OUTCOME MEASURE Diagnosis of dementia (any-cause). RESULTS Over 2000 participants (n=2635 individuals) were found to have a dementia diagnosis recorded in one or more of the data sources examined. Limited concordance was observed across the secondary care data sources. We also observed discrepancies with primary care records for the subset and report on potential linkage-related selection bias. CONCLUSIONS Use of different types of record linkage from varying parts of the UK's health system reveals differences in recorded dementia diagnosis, indicating that dementia can be identified to varying extents in different parts of the NHS system. However, there is considerable variation, and limited overlap in those identified. We present potential selection biases that might occur depending on whether cause of death, or primary and secondary care data sources are used. With the expansion of using routinely collected health data, researchers must be aware of these potential biases and inaccuracies, reporting carefully on the likely extent of limitations and challenges of the data sources they use.
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Affiliation(s)
- Shabina Hayat
- Department of Psychiatry, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Robert Luben
- MRC Epidemiology Unit, Cambridge, Cambridgeshire, UK
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, UK
| | - Kay-Tee Khaw
- MRC Epidemiology Unit, Cambridge, Cambridgeshire, UK
| | | | - Carol Brayne
- Department of Psychiatry, University of Cambridge, Cambridge, Cambridgeshire, UK
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30
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Al-Daghastani T, Naser AY. Hospital admission profile related to poisoning by, adverse effect of and underdosing of psychotropic drugs in England and Wales: An ecological study. Saudi Pharm J 2022; 30:1262-1272. [PMID: 36249944 PMCID: PMC9561178 DOI: 10.1016/j.jsps.2022.06.025] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 06/24/2022] [Indexed: 11/09/2022] Open
Abstract
Background Drug poisoning is considered as one of the main principal reasons for acute care hospitals admissions, and it places a significant burden on emergency medical services resources. The aim of this study is to examine the trend of hospital admission due to poisoning by psychotropic drugs and prescriptions of psychotropic medications in England and Wales in the past 21 years. Method Hospital admission data from the Hospital Episode Statistics database in England and the Patient Episode Database in Wales were used in this ecological study. For the period from April 1999 to March 2020, hospital admissions data relating to poisoning by, classified by adverse effects of, and underdosing of psychiatric medications were extracted. Data on CNS drug prescriptions was collected for the time period 2004–2020. Results During the study period, hospital admission rate increased by19.9% [from 39.94 (95% CI 39.40–40.48) in 1999 to 47.90 (95% CI 47.34–48.45) in 2020 per 100,000 persons, trend test, p < 0.05]. The most common reason of poisoning by psychotropic drugs that lead to hospital admissions was unspecified poisoning by antidepressants (accidental (unintentional), intentional self-harm, assault, as adverse effect, and under-dosing), which accounted for 48.9% of the total number of admissions. CNS medications prescription rates increased by 56.4% [from 247629.78 (95% CI 247593.18–247666.39) in 2004 to 387372.48 (95% CI 387333.41–387411.55) in 2020 prescriptions per 100,000 persons, trend test, p < 0.001]. The most commonly prescribed CNS medications prescriptions were analgesics, antidepressant, antiepileptic, and hypnotics and anxiolytics, which accounted for: 35.0%, 28.7%, 10.0%, and 9.5%, respectively. During the study. period between 2004 and 2020, the overall medications prescribing rate showed to be very strongly and positively correlating the hospital admissions rate with the overall poisoning by psychotropic drugs (r = 0.799; p ≤ 0.001). Conclusion Over the last two decades, there has been a parallel increase in the hospitalization rate for psychotropic drug poisoning and the prescription rate for CNS medications. Future research should focus on identifying high-risk populations who are more prone to psychotropic drug poisoning.
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31
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Du J, Janus S, Voorthuis B, van Manen J, Achterberg W, Smalbrugge M, Zwijsen S, Gerritsen D, Koopmans R, Zuidema S. Time trends in psychotropic drug prescriptions in Dutch nursing home residents with dementia between 2003 and 2018. Int J Geriatr Psychiatry 2022; 37:10.1002/gps.5697. [PMID: 35297551 PMCID: PMC9311063 DOI: 10.1002/gps.5697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 03/01/2022] [Indexed: 11/23/2022]
Abstract
OBJECTIVE Several European studies investigated the trends in psychotropic drug prescriptions (PDPs) among nursing home (NH) residents and reported a decline in antipsychotics prescriptions. Since the Dutch long-term care system differs from other European systems (e.g. higher threshold for NH admission and trained elderly care physicians), this study explores the trends in PDPs in Dutch NH residents with dementia. METHODS The study used data from nine studies, comprising two cross-sectional studies, one cohort study, and six cluster-randomized controlled trials, collected in Dutch NHs between 2003 and 2018. With multilevel logistic regression analysis, NHs as a random effect, we estimated the trends in PDPs overall and for five specific psychotropic drug groups (antipsychotics, antidepressants, anxiolytics, hypnotics, and anti-dementia drugs), adjusting for confounders: age, gender, severity of dementia, severity of neuropsychiatric symptoms, and length of stay in NHs. RESULTS The absolute prescription rate of antipsychotics was 37.5% in 2003 and decreased (OR = 0.947, 95% CI [0.926, 0.970]) every year. The absolute prescription rate of anti-dementia drugs was 0.8% in 2003 and increased (OR = 1.162, 95% CI [1.105, 1.223]) per year. The absolute rate of overall PDPs declined from 62.7% in 2003 to 40.4% in 2018. CONCLUSIONS Among Dutch NH residents with dementia, the odds of antipsychotics prescriptions decreased by 5.3% per year while the odds of anti-dementia drug prescriptions increased by 16.2%. There were no distinct trends in antidepressants, anxiolytics, and hypnotics prescriptions. However, overall PDPs were still high. The PDPs in NH residents remain an issue of concern.
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Affiliation(s)
- Jiamin Du
- Department of General Practice and Elderly Care MedicineUniversity of GroningenUniversity Medical Centre GroningenGroningenThe Netherlands
| | - Sarah Janus
- Department of General Practice and Elderly Care MedicineUniversity of GroningenUniversity Medical Centre GroningenGroningenThe Netherlands
| | - Brenda Voorthuis
- Health Technology and Services Research DepartmentTechnical Medical CentreUniversity of TwenteEnschedeThe Netherlands
| | | | - Wilco Achterberg
- Department of Public Health and Primary CareLeiden University Medical CenterLeidenThe Netherlands
| | - Martin Smalbrugge
- Department of Medicine for Older PeopleAmsterdam Public Health Research InstituteAmsterdam UMC ‐ Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Sandra Zwijsen
- Quality DepartmentKorian Zorg, Korian GroupArnhemThe Netherlands
| | - Debby Gerritsen
- Department of Primary and Community CareRadboud University Medical CenterNijmegenThe Netherlands
| | - Raymond Koopmans
- Department of Primary and Community CareRadboud University Medical CenterNijmegenThe Netherlands
- Joachim en AnnaCenter for Specialized Geriatric CareNijmegenThe Netherlands
| | - Sytse Zuidema
- Department of General Practice and Elderly Care MedicineUniversity of GroningenUniversity Medical Centre GroningenGroningenThe Netherlands
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Hsieh CJ, Yin PF, Chiu CY, Hsiao YP, Hsiao YL. Support and Empowerment for Older Adult Spousal Caregiving of People with Mild and Moderate Dementia: A Participatory Action Research. Healthcare (Basel) 2022; 10:healthcare10030569. [PMID: 35327047 PMCID: PMC8956025 DOI: 10.3390/healthcare10030569] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Little attention has been given to the older adult caregivers of spouses with mild and moderate dementia in the caring dynamics process. The aim of this action research was to develop a program for providing support and empowerment to older adult caregivers of spouses with mild and moderate dementia in the community. Methods: The researchers acted as facilitators, with a view to empowering participants. We recruited participants from a day-care center and two community service stations. Data were collected with semi-structured, in-depth interviews with 19 dementia care dyads and from the notes, reflections, and feedback of collaborative researchers. Relevant themes for content analysis were extracted. Results: Three action cycles were completed over 18 months. The results revealed goals of three cycles: to connect the home situation and effective dialogue as a bridge to the researcher, to confirm the daily needs or expectations of the caregiver and the patient, and to enhance the interactions and quality of life of family members with resources and network. This process was cyclical and repetitive, and it also generated partnerships that built relationships among the interdisciplinary team, families, and researchers. At the same time, team workers formed a cooperative and coordinated family service mechanism to reflect the professional values and practice capabilities. Conclusions: The intervention program was based on the promotion of factors for the caregiver, linking to environmental protective factors, and the stabilization of mental and neurological symptoms of dementia patients, thereby enhancing the response capabilities of home caregivers while meeting the patient’s care needs in life. It is a tool that can effectively be used for support and empowerment in this population.
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Affiliation(s)
- Chia-Jung Hsieh
- School of Nursing, College of Nursing, National Taipei University of Nursing and Health Sciences, Taipei 112303, Taiwan
- Correspondence: ; Tel.: +886-2-2822-7101-3135; Fax: +886-2-28206729
| | - Pei-Fang Yin
- Department of Long-Term Care, Camillian Saint Mary’s Hospital, Yilan 265502, Taiwan;
| | - Chi-Yi Chiu
- Lezhi Home-Based Long-Term Care Institution, New Taipei City 220043, Taiwan;
| | - Yu-Ping Hsiao
- Yue Xin Day-Care Center for Dementia and Child Development, Assessment and Intervention Center, New Taipei City 242033, Taiwan;
| | - Yu-Ling Hsiao
- Center of Geriatric Care Resource, Fu Jen Catholic University, New Taipei City 242062, Taiwan;
- Department of Nursing, College of Medicine, Fu Jen Catholic University, New Taipei City 242062, Taiwan
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Tran CT, Bøg M, Collings SL, Johnson M, Qizilbash N, Lind S, Baker RA, Jørgensen KT. Antipsychotic treatment patterns in Alzheimer's disease patients with agitation: a cohort study using the UK clinical practice research datalink. Curr Med Res Opin 2022; 38:409-416. [PMID: 35068266 DOI: 10.1080/03007995.2022.2029381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVES There is a lack of robust epidemiological evidence on antipsychotic (AP) use in patients with agitation in Alzheimer's disease (AD). Authors studied AP use in patients with AD and agitation and compared their use with patients with other or no neuropsychiatric symptoms (NPS). METHODS A retrospective cohort study in the UK Clinical Practice Research Datalink, included patients with AD between January 1st, 2015, and December 31st, 2017. AP use was compared between patients with agitation, other types of NPS and no NPS. RESULTS There were 24,464 patients with AD, median follow-up of 1.1 years (interquartile range [IQR] 0.5-2.1), and median age 83 years (78-88). A larger percentage of patients with agitation (n = 2432) were prescribed APs (38.2%) than other NPS (n = 13,076, 20.4%) and no NPS (n = 11,816, 12.2%). Compared to patients with no NPS, adjusted hazard ratios for AP use were 3.45 (95% CI 2.86-4.17) for patients with agitation and 1.31 (95% CI 1.19-1.44) for patients with other NPS. Among users of APs, the treatment discontinuation rate at six months was 44.8% in patients with agitation (other NPS 57.1%; no NPS 63.5%). CONCLUSIONS Patients with AD and agitation were frequently prescribed APs and for long periods in routine clinical practice in the UK. The high real-life usage of APs suggests that physicians prefer using APs for the treatment of agitation despite recommendations against their long-term use. These data support a need for AP therapies that better address known safety concerns with currently used APs to treat agitation in elderly patients with AD.
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Affiliation(s)
| | - Martin Bøg
- H. Lundbeck A/S (Lundbeck), Valby, Denmark
| | | | | | - Nawab Qizilbash
- OXON Epidemiology, London, UK
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Ross A Baker
- Otsuka Pharmaceutical Development and Commercialization, Inc, Princeton, NJ, USA
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Affiliation(s)
- Jennifer A Watt
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Canada
- Division of Geriatric Medicine, Department of Medicine, University of Toronto
| | - Wade Thompson
- Women's College Research Institute, Toronto
- Research Unit of General Practice, University of Southern Denmark, Odense, Denmark
| | | | - Deborah Brown
- Lawrence S Bloomberg Faculty of Nursing, University of Toronto
| | - Barbara Liu
- Division of Geriatric Medicine, Department of Medicine, University of Toronto
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Pham ANQ, Voaklander D, Wagg A, Drummond N. Epidemiology of dementia onset captured in Canadian primary care electronic medical records. Fam Pract 2022; 39:74-79. [PMID: 34180503 DOI: 10.1093/fampra/cmab056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Dementia is an increasing concern in many countries, especially in those experiencing rapid growth in the proportion of older adults in their population. OBJECTIVE This study aims to describe trends and demographic characteristics of incident dementia cases in community-dwelling older adults managed by primary care physicians. METHODS We used electronic medical records from the Canadian Primary Care Sentinel Surveillance Network database to conduct a retrospective analysis to determine the number of, and trends for, incident diagnoses of dementia. Age-standardized annual incidence rates were calculated. Participants in our cohort are Canadian community dwelling seniors aged 65+ years who were not diagnosed with dementia before baseline with at least six years of record at their primary care clinics. RESULTS The cohort consisted of 39 067 patients of whom 57% were females; the mean (SD) follow-up was 8.4 (1.5) years. During follow-up, 4935 patients were diagnosed with dementia. The risk for dementia diagnosis increased with increasing age but decreased in the last four years among people aged 80 and older at baseline (P < 0.001). People with dementia were more likely to be females (P = 0.001) and urban residents (P < 0.001), they are less likely to be classified into the least deprived group (P = 0.012). CONCLUSIONS The incidence of dementia diagnosis increased with age except in the oldest old in both sexes. This may be attributed to the effect of mortality competing risk. Future research on the association between risk factors and dementia should consider studying dementia among the oldest old separately to minimize bias.
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Affiliation(s)
- Anh N Q Pham
- School of Public Health, University of Alberta, Edmonton, Canada.,Department of Family Medicine, University of Alberta, Edmonton, Canada
| | - Don Voaklander
- Department of Family Medicine, University of Alberta, Edmonton, Canada
| | - Adrian Wagg
- Department of Medicine, University of Alberta, Edmonton, Canada
| | - Neil Drummond
- School of Public Health, University of Alberta, Edmonton, Canada.,Department of Family Medicine, University of Alberta, Edmonton, Canada
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Davis KAS, Mueller C, Ashworth M, Broadbent M, Jewel A, Molokhia M, Perera G, Stewart RJ. What gets recorded, counts: dementia recording in primary care compared with a specialist database. Age Ageing 2021; 50:2206-2213. [PMID: 34417796 PMCID: PMC8581382 DOI: 10.1093/ageing/afab164] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 06/21/2021] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND databases of electronic health records are powerful tools for dementia research, but data can be influenced by incomplete recording. We examined whether people with dementia recorded in a specialist database (from a mental health and dementia care service) differ from those recorded in primary care. METHODS a retrospective cohort study of the population covered by Lambeth DataNet (primary care electronic records) between 2007 and 2019. Documentation of dementia diagnosis in primary care coded data and linked records in a specialist database (Clinical Records Interactive Search) were compared. RESULTS 3,859 people had dementia documented in primary care codes and 4,266 in the specialist database, with 2,886/5,239 (55%) documented in both sources. Overall, 55% were labelled as having Alzheimer's dementia and 29% were prescribed dementia medication, but these proportions were significantly higher in those documented in both sources. The cohort identified from the specialist database were less likely to live in a care home (prevalence ratio 0.73, 95% confidence interval 0.63-0.85), have multimorbidity (0.87, 0.77-0.98) or consult frequently (0.91, 0.88-0.95) than those identified through primary care codes, although mortality did not differ (0.98, 0.91-1.06). DISCUSSION there is under-recording of dementia diagnoses in both primary care and specialist databases. This has implications for clinical care and for generalizability of research. Our results suggest that using a mental health database may under-represent those patients who have more frailty, reflecting differential referral to mental health services, and demonstrating how the patient pathways are an important consideration when undertaking database studies.
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Affiliation(s)
- Katrina A S Davis
- King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Christoph Mueller
- King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Mark Ashworth
- King's College London Population Health Sciences, London, UK
| | | | - Amelia Jewel
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Mariam Molokhia
- King's College London Population Health Sciences, London, UK
| | - Gayan Perera
- King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Robert J Stewart
- King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
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Assessment of Functional Near-infrared Spectroscopy by Comparing Prefrontal Cortex Activity. Alzheimer Dis Assoc Disord 2021; 36:266-268. [DOI: 10.1097/wad.0000000000000475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 08/04/2021] [Indexed: 11/26/2022]
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Banerjee S, High J, Stirling S, Shepstone L, Swart AM, Telling T, Henderson C, Ballard C, Bentham P, Burns A, Farina N, Fox C, Francis P, Howard R, Knapp M, Leroi I, Livingston G, Nilforooshan R, Nurock S, O'Brien J, Price A, Thomas AJ, Tabet N. Study of mirtazapine for agitated behaviours in dementia (SYMBAD): a randomised, double-blind, placebo-controlled trial. Lancet 2021; 398:1487-1497. [PMID: 34688369 PMCID: PMC8546216 DOI: 10.1016/s0140-6736(21)01210-1] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 05/03/2021] [Accepted: 05/14/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Agitation is common in people with dementia and negatively affects the quality of life of both people with dementia and carers. Non-drug patient-centred care is the first-line treatment, but there is a need for other treatment when this care is not effective. Current evidence is sparse on safer and effective alternatives to antipsychotics. We assessed the efficacy and safety of mirtazapine, an antidepressant prescribed for agitation in dementia. METHODS This parallel-group, double-blind, placebo-controlled trial-the Study of Mirtazapine for Agitated Behaviours in Dementia trial (SYMBAD)-was done in 26 UK centres. Participants had probable or possible Alzheimer's disease, agitation unresponsive to non-drug treatment, and a Cohen-Mansfield Agitation Inventory (CMAI) score of 45 or more. They were randomly assigned (1:1) to receive either mirtazapine (titrated to 45 mg) or placebo. The primary outcome was reduction in CMAI score at 12 weeks. This trial is registered with ClinicalTrials.gov, NCT03031184, and ISRCTN17411897. FINDINGS Between Jan 26, 2017, and March 6, 2020, 204 participants were recruited and randomised. Mean CMAI scores at 12 weeks were not significantly different between participants receiving mirtazapine and participants receiving placebo (adjusted mean difference -1·74, 95% CI -7·17 to 3·69; p=0·53). The number of controls with adverse events (65 [64%] of 102 controls) was similar to that in the mirtazapine group (67 [66%] of 102 participants receiving mirtazapine). However, there were more deaths in the mirtazapine group (n=7) by week 16 than in the control group (n=1), with post-hoc analysis suggesting this difference was of marginal statistical significance (p=0·065). INTERPRETATION This trial found no benefit of mirtazapine compared with placebo, and we observed a potentially higher mortality with use of mirtazapine. The data from this study do not support using mirtazapine as a treatment for agitation in dementia. FUNDING UK National Institute for Health Research Health Technology Assessment Programme.
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Affiliation(s)
- Sube Banerjee
- Faculty of Health, University of Plymouth, Plymouth, UK.
| | - Juliet High
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, UK
| | - Susan Stirling
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, UK
| | - Lee Shepstone
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, UK
| | - Ann Marie Swart
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, UK
| | - Tanya Telling
- Joint Clinical Research Office, University of Sussex, Brighton, UK
| | - Catherine Henderson
- Care Policy and Evaluation Centre, London School of Economics and Political Science, London, UK
| | - Clive Ballard
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Peter Bentham
- Birmingham and Solihull Mental Health Foundation NHS Trust, Birmingham, UK
| | | | - Nicolas Farina
- Centre for Dementia Studies, Brighton and Sussex Medical School, University of Sussex, Brighton, UK
| | - Chris Fox
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, UK
| | - Paul Francis
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK
| | - Martin Knapp
- Care Policy and Evaluation Centre, London School of Economics and Political Science, London, UK
| | - Iracema Leroi
- Department of Psychiatry, Global Brain Health Institute, Trinity College, Dublin, Ireland
| | - Gill Livingston
- Division of Psychiatry, University College London, London, UK
| | | | - Shirley Nurock
- Former Carer, Alzheimer's Society Research Network, University of Cambridge School of Medicine, Cambridge, UK
| | - John O'Brien
- Department of Psychiatry, University of Cambridge School of Medicine, Cambridge, UK
| | - Annabel Price
- Cambridgeshire and Peterborough Foundation Trust, Cambridge, UK
| | - Alan J Thomas
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Naji Tabet
- Centre for Dementia Studies, Brighton and Sussex Medical School, University of Sussex, Brighton, UK
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Cholinesterase inhibitors for the treatment of dementia: real-life data in Hungary. GeroScience 2021; 44:253-263. [PMID: 34655009 PMCID: PMC8811017 DOI: 10.1007/s11357-021-00470-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 09/30/2021] [Indexed: 11/15/2022] Open
Abstract
Dementia is one of the leading causes of death and disability in older population. Previous reports have shown that antidementia medications are associated with longer survival; nonetheless, the prevalence of their use and the compliance with them are quite different worldwide. There is hardly any available information about the pharmacoepidemiology of these drugs in the Eastern-European region; we aimed to analyze the use of cholinesterase inhibitors (ChEis) for the treatment of dementia to provide real-life information from the Eastern European region. All medical and medication prescription reports of the in- and outpatient specialist services collected in the NEUROHUN database in Hungary were analyzed between 2013 and 2016. Survival, adherence, and persistence values were calculated. 8803 patients were treated with ChEis during the study period, which was only 14.5% of the diagnosed demented patients. The survival of treated patients (more than 4 years) was significantly longer than patients without ChEi treatment (2.50 years). The best compliance was observed with rivastigmine patch. Choosing the appropriate medication as soon as possible after the dementia diagnosis may lead to increased life expectancy.
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Ju C, Lau WC, Hayes JF, Osborn D, Man KK, Chan EW, Wong IC, Wei L. Impact of the COVID-19 pandemic on use of anti-dementia medications in 34 European and North American countries. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2021; 7:e12206. [PMID: 34692984 PMCID: PMC8515555 DOI: 10.1002/trc2.12206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 07/28/2021] [Indexed: 11/10/2022]
Abstract
INTRODUCTION The impact of the COVID-19 pandemic on the global use of anti-dementia medication is unknown. We aimed to determine the changes of anti-dementia medication use in Europe (EU) and North America (NA) during the pandemic. METHODS This is a cross-sectional study using sales data of anti-dementia medications in 2019 and 2020 from 34 EU and NA countries. The monthly uses of anti-dementia medications from January through June in 2020 were compared to the corresponding months in 2019 for each country. RESULTS In the pre-pandemic period of January to March 2020, 70 out of 102 (3 months x 34 countries) measurements (68.6%) of monthly sales volume showed an increase. In contrast, 76.5% and 85.3% countries showed reduced sales in April and May 2020, respectively. DISCUSSION These findings indicate changes in use of anti-dementia medications during the pandemic. The delivery of pharmaceutical care for dementia patients may be heavily disrupted in certain countries.
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Affiliation(s)
- Chengsheng Ju
- Research Department of Practice and PolicySchool of PharmacyUniversity College LondonLondonUK
| | - Wallis C.Y. Lau
- Research Department of Practice and PolicySchool of PharmacyUniversity College LondonLondonUK
- Centre for Safe Medication Practice and ResearchDepartment of Pharmacology and PharmacyLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Joseph F. Hayes
- Division of PsychiatryUniversity College LondonLondonUK
- Camden and Islington NHS Foundation TrustLondonUK
| | - David Osborn
- Division of PsychiatryUniversity College LondonLondonUK
- Camden and Islington NHS Foundation TrustLondonUK
| | - Kenneth K.C. Man
- Research Department of Practice and PolicySchool of PharmacyUniversity College LondonLondonUK
- Centre for Safe Medication Practice and ResearchDepartment of Pharmacology and PharmacyLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Esther W. Chan
- Centre for Safe Medication Practice and ResearchDepartment of Pharmacology and PharmacyLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Ian C.K. Wong
- Research Department of Practice and PolicySchool of PharmacyUniversity College LondonLondonUK
- Centre for Safe Medication Practice and ResearchDepartment of Pharmacology and PharmacyLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Li Wei
- Research Department of Practice and PolicySchool of PharmacyUniversity College LondonLondonUK
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Sommerlad A, Werbeloff N, Perera G, Smith T, Costello H, Mueller C, Kormilitzin A, Broadbent M, Nevado-Holgado A, Lovestone S, Stewart R, Livingston G. Effect of trazodone on cognitive decline in people with dementia: Cohort study using UK routinely collected data. Int J Geriatr Psychiatry 2021; 37. [PMID: 34564898 DOI: 10.1002/gps.5625] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 09/20/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVES Evidence in mouse models has found that the antidepressant trazodone may be protective against neurodegeneration. We therefore aimed to compare cognitive decline of people with dementia taking trazodone with those taking other antidepressants. METHODS Three identical naturalistic cohort studies using UK clinical registers. We included all people with dementia assessed during 2008-16 who were recorded taking trazodone, citalopram or mirtazapine for at least 6 weeks. Linear mixed models examined age, time and sex-adjusted Mini-mental state examination (MMSE) change in people with all-cause dementia taking trazodone compared with those taking citalopram and mirtazapine. In secondary analyses, we examined those with non-vascular dementia; mild dementia; and adjusted results for neuropsychiatric symptoms. We combined results from the three study sites using random-effects meta-analysis. RESULTS We included 2,199 people with dementia, including 406 taking trazodone, with mean 2.2 years follow-up. There was no difference in adjusted cognitive decline in people with all-cause or non-vascular dementia taking trazodone, citalopram or mirtazapine in any of the three study sites. When data from the three sites were combined in meta-analysis, we found greater mean MMSE decline in people with all-cause dementia taking trazodone compared to those taking citalopram (0·26 points per successive MMSE measurement, 95% CI 0·03-0·49; p = 0·03). Results in sensitivity analyses were consistent with primary analyses. CONCLUSIONS There was no evidence of cognitive benefit from trazodone compared to other antidepressants in people with dementia in three naturalistic cohort studies. Despite preclinical evidence, trazodone should not be advocated for cognition in dementia.
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Affiliation(s)
- Andrew Sommerlad
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
| | - Nomi Werbeloff
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
- The Louis and Gabi Weisfeld School of Social Work, Bar Ilan University, Ramat Gan, Israel
| | - Gayan Perera
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Tanya Smith
- NIHR Biomedical Research Centre, Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Harry Costello
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Christoph Mueller
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | | | | | - Alejo Nevado-Holgado
- Mathematical Institute, University of Oxford, Oxford, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Simon Lovestone
- Department of Psychiatry, University of Oxford, Oxford, UK
- Johnson and Johnson Medical Ltd., Janssen-Cilag, High Wycombe, UK
| | - Robert Stewart
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Gill Livingston
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
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Psychotropic prescribing for English care home residents with dementia compared with national guidance: findings from the MARQUE national longitudinal study. BJPsych Open 2021. [PMCID: PMC8485345 DOI: 10.1192/bjo.2021.21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background Despite policy pressure and concerns regarding the use of antipsychotics and benzodiazepines, many care home residents with dementia are prescribed psychotropic medication, often off licence. This is the first large study to report psychotropic prescribing and ‘as required’ administration patterns in English care homes. Aims To explore the prevalence and associates of psychotropic prescription in care home residents with dementia and compare the results with national guidance. Method We collected data in a longitudinal cohort study of residents with diagnosed or probable dementia in 86 care homes in England in 2014–2016. We reported the prevalence of psychotropic (antipsychotics, anxiolytics/hypnotics, antidepressants) prescriptions and drug receipt. We explored the associations between resident factors (sociodemographic, agitation [Cohen–Mansfield Agitation Inventory], dementia severity [Clinical Dementia Rating]) and care home factors (type, ownership, size, dementia registration/specialism, quality rating) in prescription and ‘as required’ administration, using multilevel regression models. Results We analysed data from 1425 residents. At baseline, 822 residents (57.7%, 95% CI: 55.1–60.2) were prescribed a psychotropic drug, 310 residents (21.8% 95% CI: 19.7–24.0) were prescribed an anxiolytic/hypnotic, 232 (94.3%, 95% CI: 90.6–96.6) were prescribed one antipsychotic and 14 (5.7%, 95% CI: 3.4–9.4) were prescribed two antipsychotics. The median prescription duration during the study was 1 year. Residents with clinically significant agitation were prescribed more antipsychotics (odds ratio [OR] = 2.00, 95% CI: 1.64–2.45) and anxiolytics/hypnotics (OR = 2.81, 95% CI: 2.31–3.40). Conclusions Antipsychotics and anxiolytics/hypnotics are more commonly prescribed for people with dementia in care homes than in the community, and prescribing may not reflect guidelines. Policies which advocate reduced use of psychotropics should better support psychosocial interventions.
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Ansart M, Epelbaum S, Houot M, Nedelec T, Lekens B, Gantzer L, Dormont D, Durrleman S. Changes in the use of psychotropic drugs during the course of Alzheimer's disease: A large-scale longitudinal study of French medical records. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2021; 7:e12210. [PMID: 34541292 PMCID: PMC8439142 DOI: 10.1002/trc2.12210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 04/30/2021] [Accepted: 07/28/2021] [Indexed: 11/23/2022]
Abstract
INTRODUCTION We aim to understand how patients with Alzheimer's disease (AD) are treated by identifying in a longitudinal fashion the late-life changes in patients' medical history that precede and follow AD diagnosis. METHODS We use prescription history of 34,782 patients followed between 1996 and 2019 by French general practitioners. We compare patients with an AD diagnosis, patients with mild cognitive impairment (MCI), and patients free of mental disorders. We use a generalized mixed-effects model to study the longitudinal changes in the prescription of eight drug types for a period 15 years before diagnosis and 10 years after. RESULTS In the decades preceding diagnosis, we find that future AD patients are treated significantly more than MCI patients with most psychotropic drugs and that most studied drugs are increasingly prescribed with age. At the time of diagnosis, all psychotropic drugs except benzodiazepines show a significant increase in prescription, while other drugs are significantly less prescribed. In the 10 years after diagnosis, nearly all categories of drugs are less and less prescribed including antidementia drugs. DISCUSSION Pre-diagnosis differences between future AD patients and MCI patients may indicate that subtle cognitive changes are recognized and treated as psychiatric symptoms. The disclosure of AD diagnosis drastically changes patients' care, priority being given to the management of psychiatric symptoms. The decrease of all prescriptions in the late stages may reflect treatment discontinuation and simplification of therapeutic procedures. This study therefore provides new insights into the medical practices for management of AD.
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Affiliation(s)
- Manon Ansart
- Sorbonne UniversitésUPMC Univ Paris 06InsermCNRSInstitut du cerveau et la moelle épinière (ICM) ‐ Hôpital de la Pitié‐SalpêtrièreParisFrance
- Inria ParisAramis project‐teamParisFrance
| | - Stéphane Epelbaum
- Sorbonne UniversitésUPMC Univ Paris 06InsermCNRSInstitut du cerveau et la moelle épinière (ICM) ‐ Hôpital de la Pitié‐SalpêtrièreParisFrance
- Inria ParisAramis project‐teamParisFrance
- Department of NeurologyAP‐HPHôpital de la Pitié‐SalpêtrièreInstitut de la Mémoire et de la Maladie d'Alzheimer (IM2A)Reference Center for Rare or Early Dementias and Center of Excellence of Neurodegenerative Disease (CoEN)ParisFrance
| | - Marion Houot
- Sorbonne UniversitésUPMC Univ Paris 06InsermCNRSInstitut du cerveau et la moelle épinière (ICM) ‐ Hôpital de la Pitié‐SalpêtrièreParisFrance
- Sorbonne UniversityAlzheimer Precision Medicine (APM)AP‐HPHôpital de la Pitié‐SalpêtrièreParisFrance
| | - Thomas Nedelec
- Sorbonne UniversitésUPMC Univ Paris 06InsermCNRSInstitut du cerveau et la moelle épinière (ICM) ‐ Hôpital de la Pitié‐SalpêtrièreParisFrance
- Inria ParisAramis project‐teamParisFrance
| | | | | | - Didier Dormont
- Sorbonne UniversitésUPMC Univ Paris 06InsermCNRSInstitut du cerveau et la moelle épinière (ICM) ‐ Hôpital de la Pitié‐SalpêtrièreParisFrance
- Inria ParisAramis project‐teamParisFrance
- Department of NeuroradiologyAP‐HPHôpital de la Pitié‐SalpêtrièreParisFrance
| | - Stanley Durrleman
- Sorbonne UniversitésUPMC Univ Paris 06InsermCNRSInstitut du cerveau et la moelle épinière (ICM) ‐ Hôpital de la Pitié‐SalpêtrièreParisFrance
- Inria ParisAramis project‐teamParisFrance
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Ju C, Wong ICK, Lau WCY, Man KKC, Brauer R, Ma TT, Alsharif A, Alwafi H, Lau KK, Chan EW, Chui CSL, Li X, Wei L. Global trends in symptomatic medication use against dementia in 66 countries/regions from 2008 to 2018. Eur J Neurol 2021; 28:3979-3989. [PMID: 34363297 DOI: 10.1111/ene.15053] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 07/30/2021] [Accepted: 08/01/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND PURPOSE The aim was to determine trends and patterns of symptomatic medication used against dementia in 66 countries and regions. METHODS This was a cross-sectional study that used the wholesale data from the IQVIA Multinational Integrated Data Analysis System database. Sale data for symptomatic medication against dementia from 66 countries and regions from 2008 to 2018 were analysed and stratified by income level (low/middle-income countries [LMICs], n = 27; high-income countries [HICs], n = 37; regions, n = 2). The medication use volume was estimated by defined daily dose (DDD) per 1000 inhabitants per day (World Health Organization DDD harmonized the size, strength and form of each pack and reflects average dosing). Changes in medication use over time were quantified as percentage changes in compound annual growth rates (CAGRs). RESULTS Total symptomatic medication against dementia sales increased from 0.85 to 1.33 DDD per 1000 inhabitants per day between 2008 and 2018 (LMICs 0.094-0.396; HICs 3.88-5.04), which is an increase of CAGR of 4.53% per year. The increase was mainly driven by the LMICs (CAGR = 15.42%) in comparison to the HICs (CAGR = 2.65%). The overall medication use from 2008 to 2018 increased for all four agents: memantine (CAGR = 8.51%), rivastigmine (CAGR = 6.91%), donepezil (CAGR = 2.72%) and galantamine (CAGR = 0.695%). In 2018, the most commonly used medication globally was donepezil, contributing to 49.8% of total use volume, followed by memantine (32.7%), rivastigmine (11.24%) and galantamine (6.36%). CONCLUSION There was an increasing trend in the use of symptomatic medications against dementia globally, but the use remained low in LMICs. Interventions may be needed to support the medication use in some countries.
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Affiliation(s)
- Chengsheng Ju
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK.,Neurological and Mental Health Global Epidemiology Network (NeuroGEN)
| | - Ian C K Wong
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK.,Neurological and Mental Health Global Epidemiology Network (NeuroGEN).,Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Wallis C Y Lau
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK.,Neurological and Mental Health Global Epidemiology Network (NeuroGEN).,Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Kenneth K C Man
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK.,Neurological and Mental Health Global Epidemiology Network (NeuroGEN).,Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Ruth Brauer
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK.,Neurological and Mental Health Global Epidemiology Network (NeuroGEN)
| | - Tian-Tian Ma
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK.,Neurological and Mental Health Global Epidemiology Network (NeuroGEN).,Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Alaa Alsharif
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK.,Neurological and Mental Health Global Epidemiology Network (NeuroGEN).,Department of Pharmacy Practice, Faculty of Pharmacy, Princess Nourah bint Abdulrahman University, Riyadh, Kingdom of Saudi Arabia
| | - Hassan Alwafi
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK.,Neurological and Mental Health Global Epidemiology Network (NeuroGEN)
| | - Kui Kai Lau
- Neurological and Mental Health Global Epidemiology Network (NeuroGEN).,Division of Neurology, Department of Medicine, University of Hong Kong, Hong Kong SAR, China.,State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong SAR, China
| | - Esther W Chan
- Neurological and Mental Health Global Epidemiology Network (NeuroGEN).,Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Celine S L Chui
- Neurological and Mental Health Global Epidemiology Network (NeuroGEN).,Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.,Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.,Department of Social Work and Social Administration, Faculty of Social Sciences, University of Hong Kong, Hong Kong SAR, China
| | - Xue Li
- Neurological and Mental Health Global Epidemiology Network (NeuroGEN).,Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.,Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.,Department of Social Work and Social Administration, Faculty of Social Sciences, University of Hong Kong, Hong Kong SAR, China
| | - Li Wei
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK.,Neurological and Mental Health Global Epidemiology Network (NeuroGEN)
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McCombe N, Liu S, Ding X, Prasad G, Bucholc M, Finn DP, Todd S, McClean PL, Wong-Lin K. Practical Strategies for Extreme Missing Data Imputation in Dementia Diagnosis. IEEE J Biomed Health Inform 2021; 26:818-827. [PMID: 34288882 DOI: 10.1109/jbhi.2021.3098511] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Accurate computational models for clinical decision support systems require clean and reliable data but, in clinical practice, data are often incomplete. Hence, missing data could arise not only from training datasets but also test datasets which could consist of a single undiagnosed case, an individual. This work addresses the problem of extreme missingness in both training and test data by evaluating multiple imputation and classification workflows based on both diagnostic classification accuracy and computational cost. Extreme missingness is defined as having ~50% of the total data missing in more than half the data features. In particular, we focus on dementia diagnosis due to long time delays, high variability, high attrition rates and lack of practical data imputation strategies in its diagnostic pathway. We identified and replicated the extreme missingness structure of data from a real-world memory clinic on a larger open dataset, with the original complete data acting as ground truth. Overall, we found that computational cost, but not accuracy, varies widely for various imputation and classification approaches. Particularly, we found that iterative imputation on the training dataset combined with a reduced-feature classification model provides the best approach, in terms of speed and accuracy. Taken together, this work has elucidated important factors to be considered when developing a predictive model for a dementia diagnostic support system.
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Ransford N, Marnell B, Randall C, Yates C, Howie G. Systemic medicines taken by adult special care dental patients and implications for the management of their care. Br Dent J 2021; 231:33-42. [PMID: 34244646 DOI: 10.1038/s41415-021-3180-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 11/11/2020] [Indexed: 12/26/2022]
Abstract
Introduction Significant changes have taken place in the profile of prescription medicines being taken by the adult UK population over the last decade. The aims of this article are to review the literature to understand the overall trends and underlying factors, and then to compare this with the medication profile of a cohort of adult special care dental (SCD) patients. Materials and method Five hundred patient records were examined and retrospective data on systemic medicines being taken were obtained and classified according to the index used in the British National Formulary (BNF).Results The results revealed a high level of polypharmacy with 57% of SCD patients taking three or more medicines compared to 24% of the population in England. Antiepileptic drugs were the most frequently taken group of medicines (42%), followed by antidepressants (39.7%) and antipsychotics (37.6%). Conclusions Our results demonstrate the medical complexity of patients in this cohort and enable clinicians to increase their familiarity with the most commonly taken medicines and the tools available to manage the implications for dental care.
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Affiliation(s)
- Nicholas Ransford
- Consultant in Special Care Dentistry, Birmingham Dental Hospital, 5 Mill Pool Way, Pebble Mill, Birmingham, B5 7SW, UK.
| | - Ben Marnell
- Dental Core Trainee, Birmingham Dental Hospital, 5 Mill Pool Way, Pebble Mill, Birmingham, B5 7SW, UK
| | - Christine Randall
- Assistant Director and Lead Pharmacist for Dental Medicines Information and Pharmacovigilance, North West Medicines Information Centre, 70 Pembroke Place, Liverpool, L69 3GF, UK
| | - Clare Yates
- Specialist in Special Care Dentistry, Birmingham Dental Hospital, 5 Mill Pool Way, Pebble Mill, Birmingham, B5 7SW, UK
| | - Gillian Howie
- Speciality Trainee in Special Care Dentistry, Birmingham Dental Hospital, 5 Mill Pool Way, Pebble Mill, Birmingham, B5 7SW, UK
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Zheng B, Su B, Price G, Tzoulaki I, Ahmadi-Abhari S, Middleton L. Glycemic Control, Diabetic Complications, and Risk of Dementia in Patients With Diabetes: Results From a Large U.K. Cohort Study. Diabetes Care 2021; 44:1556-1563. [PMID: 34035076 DOI: 10.2337/dc20-2850] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Accepted: 04/23/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Type 2 diabetes is an established risk factor for dementia. However, the roles of glycemic control and diabetic complications in the development of dementia have been less well substantiated. This large-scale cohort study aims to examine associations of longitudinal HbA1c levels and diabetic complications with the risk of dementia incidence among patients with type 2 diabetes. RESEARCH DESIGN AND METHODS Data of eligible patients with diabetes, aged ≥50 years in the U.K. Clinical Practice Research Datalink from 1987 to 2018, were analyzed. Time-varying Cox regressions were used to estimate adjusted hazard ratios (HRs) and 95% CIs for dementia risk. RESULTS Among 457,902 patients with diabetes, 28,627 (6.3%) incident dementia cases were observed during a median of 6 years' follow-up. Patients with recorded hypoglycemic events or microvascular complications were at higher risk of dementia incidence compared with those without such complications (HR 1.30 [95% CI 1.22-1.39] and 1.10 [1.06-1.14], respectively). The HbA1c level, modeled as a time-varying exposure, was associated with increased dementia risk (HR 1.08 [95% CI 1.07-1.09] per 1% HbA1c increment) among 372,287 patients with diabetes with postdiagnosis HbA1c records. Similarly, a higher coefficient of variation of HbA1c during the initial 3 years of follow-up was associated with higher subsequent dementia risk (HR 1.03 [95% CI 1.01-1.04] per 1-SD increment). CONCLUSIONS Higher or unstable HbA1c levels and the presence of diabetic complications in patients with type 2 diabetes are associated with increased dementia risk. Effective management of glycemia might have a significant role in maintaining cognitive health among older adults with diabetes.
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Affiliation(s)
- Bang Zheng
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, U.K
| | - Bowen Su
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Geraint Price
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, U.K
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Sara Ahmadi-Abhari
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, U.K
| | - Lefkos Middleton
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, U.K. .,Public Health Directorate, Imperial College Healthcare NHS Trust, London, U.K
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Kolpashnikova K. Ageing and dementia: age-period-cohort effects of policy intervention in England, 2006-2016. BMC Geriatr 2021; 21:387. [PMID: 34174814 PMCID: PMC8235903 DOI: 10.1186/s12877-021-02341-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Accepted: 06/15/2021] [Indexed: 11/23/2022] Open
Abstract
Background Dementia is one of the most critical challenges of our time. According to the Dementia Statistics Hub, only about 66 % of all UK residents with dementia were diagnosed in 2017–2018. Yet, there are reservations about the early diagnosis of dementia-related diseases. As a result, the UK National Screening Committee does not recommend systematic population screening of dementia, although case-finding strategies are still applied for high-risk groups. Methods This study added additional evidence of the effectiveness of the National Dementia Strategy and increased numbers of diagnosis of dementia on the younger cohorts of the older people, using the intrinsic estimator age-period-cohort (APC) models and the English Longitudinal Study of Ageing data. Results Age effects show that diagnosis increases in volume only among those aged 75 and above, suggesting that many of those aged below 75 might not be diagnosed in time. Period effects show that although there was an initial increase due to the new policy implementation, the trend stalled in later years, indicating that the increase might not have been even across the period when controlled for age and cohort. The study also shows that cohort effects indicate lower prevalence in younger cohorts controlled for age and period effects. Conclusions Although more research in diverse contexts is warranted, this study cautions against the abandonment of timely diagnosis, increased screening and case-finding, and shows some effectiveness of prevention strategies on the national level.
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Paterson EN, Maxwell AP, Kee F, Cruise S, Young IS, McGuinness B, McKay GJ. Association of renal impairment with cognitive dysfunction in the Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA). Nephrol Dial Transplant 2021; 36:1492-1499. [PMID: 34038557 PMCID: PMC8311575 DOI: 10.1093/ndt/gfab182] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 05/17/2021] [Indexed: 12/17/2022] Open
Abstract
Introduction Chronic kidney disease (CKD) is a recognized risk factor for cognitive impairment. Identification of those at greatest risk of cognitive impairment may facilitate earlier therapeutic intervention. This study evaluated associations between estimated glomerular filtration rate (eGFR) and cognitive function in the Northern Ireland Cohort for the Longitudinal Study of Ageing. Methods Data were available for 3412 participants ≥50 years of age living in non-institutionalized settings who attended a health assessment between February 2014 and March 2016. Measures of serum creatinine (SCr) and cystatin C (cys-C) were used for eGFR. Cognitive function was measured using the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE). Results Following adjustment for potential confounders, a single unit decrease in eGFR was significantly associated with reduced cognitive function defined by an MMSE ≤24/30 {eGFR calculated using serum cys-C [eGFRcys]: β = −0.01 [95% confidence interval (CI) −0.001 to −0.01], P = 0.01} and MoCA <26/30 [β = −0.01 (95% CI −0.002 to −0.02), P = 0.02]. Similarly, CKD Stages 3–5 were also associated with a moderate increase in the odds of cognitive impairment (MMSE ≤24) following adjustment for confounders [eGFRcys: odds ratio 2.73 (95% CI 1.38–5.42), P = 0.004]. Conclusions Decreased eGFRcys was associated with a significantly increased risk of cognitive impairment in a population-based cohort of older adults. However, there was no evidence of an association between cognitive impairment and the more commonly used eGFR calculated using SCr. eGFRcys may offer improved sensitivity over eGFRcr in the determination of renal function and associated risk of cognitive impairment.
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Affiliation(s)
- Euan N Paterson
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Alexander P Maxwell
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Frank Kee
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Sharon Cruise
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Ian S Young
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
| | | | - Gareth J McKay
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
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Mayer F, Remoli G, Bacigalupo I, Palazzesi I, Piscopo P, Bellomo G, Canevelli M, Corbo M, Vanacore N, Lacorte E. Decreasing trend in the incidence and prevalence of dementia: a systematic review. Minerva Med 2021; 112:430-440. [PMID: 33881282 DOI: 10.23736/s0026-4806.21.07454-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
INTRODUCTION The progressive ageing of the population is one of the main socio-demographic phenomena, taking place at a global level. Several recent population-based studies conducted worldwide suggest that the age-specific risk of dementia may be changing in some countries and areas. EVIDENCE ACQUISITION This systematic review was performed using the methodology proposed by the Cochrane handbook for systematic reviews and reported following the PRISMA statement. A structured bibliographic search was performed on the databases PubMed, ISI Web of Science and the Cochrane Database of Systematic Reviews. All included studies were qualitatively assessed using the Methodological Evaluation of Observational REsearch (MORE). EVIDENCE SYNTHESIS The bibliographic search yielded 2394 records. Three more articles were retrieved from other sources. A total of ten studies were included, five reported data on a possible reduction in the prevalence of dementia, and five reported data on a possible reduction in its incidence. CONCLUSIONS The present systematic review focused on the recent observations of a possible decrease in the frequency of dementia and cognitive impairment in some Western countries (USA, UK, Sweden, the Netherlands, France, Iceland) between 1977 and 2014. The included studies have a high heterogeneity in terms of the clinical criteria used to diagnose dementia, and of the criteria used to define the clinical condition preceding dementia, such as isolated cognitive impairment. Moreover, the methodological quality with which they were conducted was also heterogeneous, with scores ranging from 1 to 7 using the MORE tool.
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Affiliation(s)
- Flavia Mayer
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | - Giulia Remoli
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | - Ilaria Bacigalupo
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | - Ilaria Palazzesi
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | - Paola Piscopo
- Department of Neurosciences, Italian National Institute of Health, Rome, Italy
| | - Guido Bellomo
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | - Marco Canevelli
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy.,Sapienza University, Rome, Italy
| | - Massimo Corbo
- Department of Neurorehabilitation Sciences, Casa di Cura Privata del Policlinico, Milan, Italy
| | - Nicola Vanacore
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | - Eleonora Lacorte
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy -
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