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Armenta-Castro A, Núñez-Soto MT, Rodriguez-Aguillón KO, Aguayo-Acosta A, Oyervides-Muñoz MA, Snyder SA, Barceló D, Saththasivam J, Lawler J, Sosa-Hernández JE, Parra-Saldívar R. Urine biomarkers for Alzheimer's disease: A new opportunity for wastewater-based epidemiology? ENVIRONMENT INTERNATIONAL 2024; 184:108462. [PMID: 38335627 DOI: 10.1016/j.envint.2024.108462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 01/16/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024]
Abstract
While Alzheimer's disease (AD) diagnosis, management, and care have become priorities for healthcare providers and researcher's worldwide due to rapid population aging, epidemiologic surveillance efforts are currently limited by costly, invasive diagnostic procedures, particularly in low to middle income countries (LMIC). In recent years, wastewater-based epidemiology (WBE) has emerged as a promising tool for public health assessment through detection and quantification of specific biomarkers in wastewater, but applications for non-infectious diseases such as AD remain limited. This early review seeks to summarize AD-related biomarkers and urine and other peripheral biofluids and discuss their potential integration to WBE platforms to guide the first prospective efforts in the field. Promising results have been reported in clinical settings, indicating the potential of amyloid β, tau, neural thread protein, long non-coding RNAs, oxidative stress markers and other dysregulated metabolites for AD diagnosis, but questions regarding their concentration and stability in wastewater and the correlation between clinical levels and sewage circulation must be addressed in future studies before comprehensive WBE systems can be developed.
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Affiliation(s)
| | - Mónica T Núñez-Soto
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
| | - Kassandra O Rodriguez-Aguillón
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Alberto Aguayo-Acosta
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Mariel Araceli Oyervides-Muñoz
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Shane A Snyder
- Nanyang Environment & Water Research Institute (NEWRI), Nanyang Technological University, Singapore
| | - Damià Barceló
- Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research, IDAEA-CSIC, Jordi Girona, 18-26, 08034 Barcelona, Spain; Sustainability Cluster, School of Engineering at the UPES, Dehradun, Uttarakhand, India
| | - Jayaprakash Saththasivam
- Water Center, Qatar Environment & Energy Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Qatar
| | - Jenny Lawler
- Water Center, Qatar Environment & Energy Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Qatar
| | - Juan Eduardo Sosa-Hernández
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico.
| | - Roberto Parra-Saldívar
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
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A Cost-Benefit Analysis of a Group Memory Intervention for Healthy Older Adults with Memory Concerns. Can J Aging 2022; 41:531-539. [PMID: 35726601 DOI: 10.1017/s0714980821000726] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
This study examines whether memory intervention programs can mitigate health care costs. Research suggests these programs translate to a decreased intention of older adults who are worried about age-normal memory changes to seek traditional outlets for medical/psychiatric help. We employed a cost-benefit analysis approach to analyze the effectiveness of a memory intervention program within Ontario. We leveraged estimates of decreased intentionality to seek physician care following a community-based memory intervention with physician billing profiles to calculate the potential cost savings to the province's health care system. The intervention studied was found to reduce provincial health care spending by $6,094 per program group. This amount exceeds $121.25 in direct costs per attendee associated with administering five program sessions. This analysis justifies further research on how community-based memory and aging programs can offer low-cost solutions to help individuals cope with subjective memory complaints and assist the health care system in prioritizing care for aging patients.
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Persson S, Saha S, Gerdtham U, Toresson H, Trépel D, Jarl J. Healthcare costs of dementia diseases before, during and after diagnosis: Longitudinal analysis of 17 years of Swedish register data. Alzheimers Dement 2022; 18:2560-2569. [PMID: 35189039 PMCID: PMC10078636 DOI: 10.1002/alz.12619] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 08/27/2021] [Accepted: 12/10/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION This study examines health-care costs attributed to dementia diseases in the 10 years prior to, during, and 6 years after diagnosis. METHODS Using administrative register data for people diagnosed with dementia (2010-2016) in southern Sweden (n = 21,184), and a comparison group without dementia, health-care costs over 17 years were examined using longitudinal regression analysis. RESULTS Average annual health-care costs per person were consistently higher before diagnosis in the dementia group (10 years before: Swedish krona (SEK) 2063, P < .005 and 1 year before: SEK8166, P < .005). At diagnosis, health-care costs were more than twice as high (SEK44,410, P < .005). Four to 6 years after diagnosis, there was no significant different in costs compared to comparators. DISCUSSION Excess health-care cost arise as early as 10 years before a formal diagnosis of dementia, and while there is a spike in cost after diagnosis, health-care costs are no different 4 years after. These findings question currently accepted assumptions on costs of dementia.
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Affiliation(s)
- Sofie Persson
- Health Economics UnitDepartment of Clinical Science (Malmö)Lund UniversityLundSweden
| | - Sanjib Saha
- Health Economics UnitDepartment of Clinical Science (Malmö)Lund UniversityLundSweden
- Global Brain Health Institute ,Trinity College Dublin, Dublin, IrelandUniversity California, San FranciscoSan FranciscoCaliforniaUSA
| | - Ulf‐G. Gerdtham
- Health Economics UnitDepartment of Clinical Science (Malmö)Lund UniversityLundSweden
- Centre for Economic DemographyLund UniversityLundSweden
- Department of EconomicsLund UniversityLundSweden
| | - Håkan Toresson
- Clinical Memory Research UnitDepartment of Clinical Science (Malmö)Lund UniversityLundSweden
| | - Dominic Trépel
- Global Brain Health Institute ,Trinity College Dublin, Dublin, IrelandUniversity California, San FranciscoSan FranciscoCaliforniaUSA
- Trinity CollegeTrinity Institute of Neurosciences (TCIN)DublinIreland
| | - Johan Jarl
- Health Economics UnitDepartment of Clinical Science (Malmö)Lund UniversityLundSweden
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4
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Onur OA, Wolff-Menzler C, von Arnim CAF, Jessen F, Fink GR, Wiltfang J, Laske C, Schneider A, Levin J, Oberstein T, Kornhuber J, Oberhauser F, Gallinat J, Dodel R, Otto M, Peters O, Teipel S, Duezel E, Riemenschneider M, Flöel A, Perneczky R, Reetz K, Schulz JB, Hausner L, Grimmer T, Frölich L. [The Cost of Early Diagnosis of Cognitive Decline in German Memory Clinics]. FORTSCHRITTE DER NEUROLOGIE-PSYCHIATRIE 2022; 90:361-367. [PMID: 35858613 DOI: 10.1055/a-1871-9889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Dementias are expensive diseases: the net annual cost in European healthcare is about € 28.000 per case with a strong stage dependency, of which medical care accounts for about 19%. Diagnostic costs, on the other hand, account for only a small proportion of the total costs. With changes in the guidelines, biomarker tests are becoming increasingly important. At present, the concrete economic impact of biomarker-based diagnosis is largely unknown. To determine the actual costs of diagnostic procedures based on guidelines, we conducted a survey among the members of the German Memory Clinic Network (DNG). From 15 expert centres, the staff engagement time for all procedures was collected. Based on the individual engagement times of the different professions, the total of personnel costs for diagnostics was calculated using current gross personnel costs. The total sum of diagnostic costs (personnel plus procedures) was calculated for three different scenarios e. g. € 633,97 for diagnostics without biomarkers, € 1.214,90 for diagnostics with CSF biomarkers and € 4.740,58 € for diagnostics with FDG- plus Amyloid-PET. In addition, the actual diagnostic costs of the current practice in expert memory clinics were estimated, taking into account personnel costs, costs for the different procedures and the frequency of their use across all patients. This results in total average costs of € 1.394,43 per case as the mean across all centres (personnel costs € 351,72, costs for diagnostic procedures € 1.042,71). The results show that state-of-the-art diagnosis of dementia and pre-dementia states, such as mild cognitive impairment (MCI) requires financial resources, which are currently not fully reimbursed in Germany. The need for a biomarker-based etiological diagnosis of dementia and pre-dementia states will increase, due to availability of disease-modifying treatments. Therefore, the current gap of reimbursement must be filled by new models of compensation.
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Affiliation(s)
- Oezguer A Onur
- Klinik und Poliklinik für Neurologie, Klinikum der Universität Köln, Köln
| | - Claus Wolff-Menzler
- Klinik für Psychiatrie und Psychotherapie, Universitätsmedizin Göttingen, Göttingen
| | | | - Frank Jessen
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, Klinikum der Universität Köln, Köln.,Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Campus Venusberg, Bonn
| | - Gereon R Fink
- Klinik und Poliklinik für Neurologie, Klinikum der Universität Köln, Köln.,Institut für Neurowissenschaften und Medizin (INM-3), Forschungszentrum Jülich, Jülich
| | - Jens Wiltfang
- Klinik für Psychiatrie und Psychotherapie, Universitätsmedizin Göttingen, Göttingen
| | - Christoph Laske
- Sektion für Demenzforschung, Klinik für Psychiatrie und Psychotherapie, Universität Tübingen.,Deutsches Zentrum für Neurodegenerative Erkrankungen, Tübingen
| | - Anja Schneider
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Campus Venusberg, Bonn.,Klinik für Neurodegenerative Erkrankungen und Gerontopsychiatrie, Universitätsklinikum Bonn, Bonn
| | - Johannes Levin
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität, München.,Deutsches Zentrum für Neurodegenerative Erkrankungen, Munich Cluster for Systems Neurology (SyNergy), München
| | - Timo Oberstein
- Psychiatrische und Psychotherapeutische Klinik, Universitätsklinikum Erlangen, Erlangen
| | - Johannes Kornhuber
- Psychiatrische und Psychotherapeutische Klinik, Universitätsklinikum Erlangen, Erlangen
| | - Felix Oberhauser
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universitätsklinikum Hamburg-Eppendorf, Hamburg
| | - Jürgen Gallinat
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universitätsklinikum Hamburg-Eppendorf, Hamburg
| | - Richard Dodel
- Lehrstuhl für Geriatrie, Universität Duisburg-Essen, Essen
| | - Markus Otto
- Klinik und Poliklinik für Neurologie, Universitätsklinik Halle (Saale), Martin Luther Universität Halle-Wittenberg, Halle (Saale).,Klinik und Poliklinik für Neurologie, Uniklinik Ulm, Ulm
| | - Oliver Peters
- Klinik für Psychiatrie und Psychotherapie, Charité - Universitätsmedizin Berlin Campus Benjamin Franklin (CBF), Berlin
| | - Stefan Teipel
- Klinik für Psychosomatische Medizin, Universitätsmedizin Rostock, Rostock.,Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Rostock/Greifswald, Rostock
| | - Emrah Duezel
- Institut für Kognitive Neurologie und Demenzforschung (IKND), Medizinische Fakultät, Universitätsklinikum Magdeburg, Magdeburg.,Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Magdeburg
| | | | - Agnes Flöel
- Klinik und Poliklinik für Neurologie, Universitätsmedizin Greifswald, Greifswald.,Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Standort Rostock/Greifswald, Greifswald
| | - Robert Perneczky
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Munich Cluster for Systems Neurology (SyNergy), München.,Klinik und Poliklinik für Psychiatrie und Psychotherapie, Klinikum der LMU München, München.,Ageing Epidemiology Research Unit (AGE), Imperial College London, London.,Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Standort München, München
| | - Kathrin Reetz
- Neurologische Klinik und Poliklinik, Universitätsklinikum der RWTH Aachen.,JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Juelich Research Center GmbH and RWTH Aachen University, Aachen
| | - Jörg B Schulz
- Neurologische Klinik und Poliklinik, Universitätsklinikum der RWTH Aachen.,JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Juelich Research Center GmbH and RWTH Aachen University, Aachen
| | - Lucrezia Hausner
- Abteilung Gerontopsychiatrie, Zentralinstitut für Seelische Gesundheit, Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim
| | - Timo Grimmer
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, Klinikum rechts der Isar der Technischen Universität München, München
| | - Lutz Frölich
- Abteilung Gerontopsychiatrie, Zentralinstitut für Seelische Gesundheit, Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim
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Cost of diagnosing and treating cognitive complaints: One-year cost-evaluation study in a patient cohort from a Slovenian memory clinic. Zdr Varst 2022; 61:76-84. [PMID: 35432609 PMCID: PMC8937588 DOI: 10.2478/sjph-2022-0011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 12/10/2021] [Indexed: 11/21/2022] Open
Abstract
Abstract
Introduction
Dementias present a global health challenge and give rise to significant economic costs. This study aims to evaluate the economic impact of one-year outpatient healthcare, nursing home, and formal and informal home help costs for all patients referred to the Centre for Cognitive Impairments at the Department of Neurology, Ljubljana University Medical Centre, Slovenia.
Methods
Data was acquired retrospectively from physicians’ records and the costs for 2015 were calculated. Total costs were estimated by means of a bottom-up calculation of outpatient visits, diagnostic examinations and anti-dementia medication. In a subgroup of 120 patients with dementia, the Resource Utilization in Dementia questionnaire was used to estimate formal and informal care costs.
Results
A total of 720 patients visited the memory clinic in 2015. Diagnosis at first visit was subjective cognitive or mild cognitive impairment (SCI/ MCI) for 322 patients, dementia for 258 patients, and psychiatric or other disorders for 140 patients. The average annual cost per patient was EUR 578. It was highest for patients with dementia (EUR 751), EUR 550 for patients with SCI/MCI, and lowest for patients with psychiatric and other disorders (EUR 324). Monthly informal and social care costs were between EUR 1,037 and EUR 3,369, depending on the methodology used.
Conclusion
The cost of diagnosing a cognitive disorder depends on how extensive the diagnosis is. With an estimated prevalence of 34,137 persons with dementia in Slovenia, basic diagnostic investigations incur costs of approximately EUR 7 million. Direct medical costs represent a smaller portion of total dementia costs; this is because annual costs for formal and informal home help are estimated at EUR 265 million and nursing home placements at EUR 105 million.
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2020 update on the clinical validity of cerebrospinal fluid amyloid, tau, and phospho-tau as biomarkers for Alzheimer's disease in the context of a structured 5-phase development framework. Eur J Nucl Med Mol Imaging 2021; 48:2121-2139. [PMID: 33674895 PMCID: PMC8175301 DOI: 10.1007/s00259-021-05258-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 02/11/2021] [Indexed: 12/15/2022]
Abstract
Purpose In the last decade, the research community has focused on defining reliable biomarkers for the early detection of Alzheimer’s disease (AD) pathology. In 2017, the Geneva AD Biomarker Roadmap Initiative adapted a framework for the systematic validation of oncological biomarkers to cerebrospinal fluid (CSF) AD biomarkers—encompassing the 42 amino-acid isoform of amyloid-β (Aβ42), phosphorylated-tau (P-tau), and Total-tau (T-tau)—with the aim to accelerate their development and clinical implementation. The aim of this work is to update the current validation status of CSF AD biomarkers based on the Biomarker Roadmap methodology. Methods A panel of experts in AD biomarkers convened in November 2019 at a 2-day workshop in Geneva. The level of maturity (fully achieved, partly achieved, preliminary evidence, not achieved, unsuccessful) of CSF AD biomarkers was assessed based on the Biomarker Roadmap methodology before the meeting and presented and discussed during the workshop. Results By comparison to the previous 2017 Geneva Roadmap meeting, the primary advances in CSF AD biomarkers have been in the area of a unified protocol for CSF sampling, handling and storage, the introduction of certified reference methods and materials for Aβ42, and the introduction of fully automated assays. Additional advances have occurred in the form of defining thresholds for biomarker positivity and assessing the impact of covariates on their discriminatory ability. Conclusions Though much has been achieved for phases one through three, much work remains in phases four (real world performance) and five (assessment of impact/cost). To a large degree, this will depend on the availability of disease-modifying treatments for AD, given these will make accurate and generally available diagnostic tools key to initiate therapy. Supplementary Information The online version contains supplementary material available at 10.1007/s00259-021-05258-7.
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Koenig T, Smailovic U, Jelic V. Past, present and future EEG in the clinical workup of dementias. Psychiatry Res Neuroimaging 2020; 306:111182. [PMID: 32921526 DOI: 10.1016/j.pscychresns.2020.111182] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 07/02/2020] [Accepted: 09/03/2020] [Indexed: 01/25/2023]
Abstract
Electroencephalography (EEG), as non-invasive, global measure of neuronal activity, is a prime candidate functional marker of synapse dysfunction and loss in dementias. Nevertheless, EEG currently has no established role in the clinical workup of individual patients. This opinion paper presents our critical view on why EEG has so far failed to keep its promise, and where we believe EEG will be clinically useful for patients threatened with cognitive decline in the future. Individual EEGs are an integral outcome of many causally intermixing upstream factors contributing to dementia. Therefore, EEG cannot become a clinically useful "simple" stand-alone biomarker of some pathognomic accumulations of specific brain proteins, but rather offer unique opportunities for more comprehensive and richly faceted insights into the functional status of brain systems. EEG may thus remain an essential window into the brain when it comes to the at-risk and presymptomatic phases of dementias, where it can be uniquely informative about concepts such as burdens of plasticity and repair, cognitive reserve, and sleep. Jointly with rapid gains in usability, portability, machine learning, closed loop systems, and understanding of the role of EEG-based sleep stages for memory and brain repair, EEG may come to keep its initial promise after all.
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Affiliation(s)
- Thomas Koenig
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Switzerland.
| | - Una Smailovic
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.
| | - Vesna Jelic
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden; Karolinska University Hospital-Huddinge, Clinic for Cognitive Disorders, Stockholm, Sweden.
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8
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Abbate C, Trimarchi PD, Inglese S, Gallucci A, Tomasini E, Bagarolo R, Giunco F. The Two-Step Strategy Could Be Inadequate and Counteracting to Diagnose Prodromal Dementia or Mild Cognitive Impairment. Front Aging Neurosci 2020; 12:229. [PMID: 32848708 PMCID: PMC7426713 DOI: 10.3389/fnagi.2020.00229] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 06/30/2020] [Indexed: 11/13/2022] Open
Affiliation(s)
- Carlo Abbate
- IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy
| | | | - Silvia Inglese
- Geriatric Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Alessia Gallucci
- IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy
- Ph.D. Program in Neuroscience, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
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Hwang AB, Boes S, Nyffeler T, Schuepfer G. Validity of screening instruments for the detection of dementia and mild cognitive impairment in hospital inpatients: A systematic review of diagnostic accuracy studies. PLoS One 2019; 14:e0219569. [PMID: 31344048 PMCID: PMC6657852 DOI: 10.1371/journal.pone.0219569] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 06/26/2019] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION As the population ages, Alzheimer's disease and other subtypes of dementia are becoming increasingly prevalent. However, in recent years, diagnosis has often been delayed or not made at all. Thus, improving the rate of diagnosis has become an integral part of national dementia strategies. Although screening for dementia remains controversial, the case is strong for screening for dementia and other forms of cognitive impairment in hospital inpatients. For this reason, the objective of this systematic review was to provide clinicians, who wish to implement screening, an up-to-date choice of cognitive tests with the most extensive evidence base for the use in elective hospital inpatients. METHODS For this systematic review, PubMed, PsycINFO and Cochrane Library were searched by using a multi-concept search strategy. The databases were accessed on April 10, 2019. All cross-sectional studies that utilized brief, multi-domain cognitive tests as index test and a reference standard diagnosis of dementia or mild cognitive impairment as comparator were included. Only studies conducted in the hospital setting, sampling from unselected, elective inpatients older than 64 were considered. RESULTS Six studies met the inclusion criteria, with a total of 2112 participants. Diagnostic accuracy data for the Six-Item Cognitive Impairment Test, Cognitive Performance Scale, Clock-Drawing Test, Mini-Mental Status Examination, and Time & Change test were extracted and descriptively analyzed. Clinical and methodological heterogeneity between the studies precluded performing a meta-analysis. DISCUSSION This review found only a small number of instruments and was not able to recommend a single best instrument for use in a hospital setting. Although it was not possible to estimate the pooled operating characteristics, the included description of instrument characteristics, the descriptive analysis of performance measures, and the critical evaluation of the reporting studies may contribute to clinician's choice of the screening instrument that fits best their purpose.
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Affiliation(s)
- Aljoscha Benjamin Hwang
- Clinic for Neurology and Neurorehabilitation, Cantonal Hospital Lucerne, Lucerne, Switzerland
- Department of Health Sciences and Health Policy, University of Lucerne, Lucerne, Switzerland
| | - Stefan Boes
- Department of Health Sciences and Health Policy, University of Lucerne, Lucerne, Switzerland
| | - Thomas Nyffeler
- Clinic for Neurology and Neurorehabilitation, Cantonal Hospital Lucerne, Lucerne, Switzerland
| | - Guido Schuepfer
- Staff Medicine, Cantonal Hospital Lucerne, Lucerne, Switzerland
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Bokenberger K, Sjölander A, Dahl Aslan AK, Karlsson IK, Åkerstedt T, Pedersen NL. Shift work and risk of incident dementia: a study of two population-based cohorts. Eur J Epidemiol 2018; 33:977-987. [PMID: 30076495 PMCID: PMC6153510 DOI: 10.1007/s10654-018-0430-8] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Accepted: 07/27/2018] [Indexed: 01/17/2023]
Abstract
This study aimed to investigate the association between shift work and incident dementia in two population-based cohorts from the Swedish Twin Registry (STR). The STR-1973 sample included 13,283 participants born 1926–1943 who received a mailed questionnaire in 1973 that asked about status (ever/never) and duration (years) of shift work employment. The Screening Across the Lifespan Twin (SALT) sample included 41,199 participants born 1900–1958 who participated in a telephone interview in 1998–2002 that asked about night work status and duration. Dementia diagnoses came from Swedish patient registers. Cox proportional-hazards regression was used to estimate hazard ratios (HR) with 95% confidence intervals (CI). Potential confounders such as age, sex, education, diabetes, cardiovascular disease and stroke were included in adjusted models. In genotyped subsamples (n = 2977 in STR-1973; n = 10,366 in SALT), APOE ε4 status was considered in models. A total of 983 (7.4%) and 1979 (4.8%) dementia cases were identified after a median of 41.2 and 14.1 years follow-up in the STR-1973 and SALT sample, respectively. Ever shift work (HR 1.36, 95% CI 1.15–1.60) and night work (HR 1.12, 95% CI 1.01–1.23) were associated with higher dementia incidence. Modest dose-response associations were observed, where longer duration shift work and night work predicted increased dementia risk. Among APOE ε4 carriers, individuals exposed to ≥ 20 years of shift work and night work had increased dementia risk compared to day workers. Findings indicate that shift work, including night shift work, compared to non-shift jobs is associated with increased dementia incidence. Confirmation of findings is needed.
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Affiliation(s)
- Kathleen Bokenberger
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177, Stockholm, Sweden.
| | - Arvid Sjölander
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177, Stockholm, Sweden
| | - Anna K Dahl Aslan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177, Stockholm, Sweden.,School of Health and Welfare, Institute of Gerontology, Jönköping University, 55111, Jönköping, Sweden
| | - Ida K Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177, Stockholm, Sweden
| | - Torbjörn Åkerstedt
- Stress Research Institute, Stockholm University, 10691, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, 17177, Stockholm, Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177, Stockholm, Sweden.,Department of Psychology, University of Southern California, Los Angeles, CA, 90089-1061, USA
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Lewczuk P, Riederer P, O’Bryant SE, Verbeek MM, Dubois B, Visser PJ, Jellinger KA, Engelborghs S, Ramirez A, Parnetti L, Jack CR, Teunissen CE, Hampel H, Lleó A, Jessen F, Glodzik L, de Leon MJ, Fagan AM, Molinuevo JL, Jansen WJ, Winblad B, Shaw LM, Andreasson U, Otto M, Mollenhauer B, Wiltfang J, Turner MR, Zerr I, Handels R, Thompson AG, Johansson G, Ermann N, Trojanowski JQ, Karaca I, Wagner H, Oeckl P, van Waalwijk van Doorn L, Bjerke M, Kapogiannis D, Kuiperij HB, Farotti L, Li Y, Gordon BA, Epelbaum S, Vos SJB, Klijn CJM, Van Nostrand WE, Minguillon C, Schmitz M, Gallo C, Mato AL, Thibaut F, Lista S, Alcolea D, Zetterberg H, Blennow K, Kornhuber J, Riederer P, Gallo C, Kapogiannis D, Mato AL, Thibaut F. Cerebrospinal fluid and blood biomarkers for neurodegenerative dementias: An update of the Consensus of the Task Force on Biological Markers in Psychiatry of the World Federation of Societies of Biological Psychiatry. World J Biol Psychiatry 2018; 19:244-328. [PMID: 29076399 PMCID: PMC5916324 DOI: 10.1080/15622975.2017.1375556] [Citation(s) in RCA: 196] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
In the 12 years since the publication of the first Consensus Paper of the WFSBP on biomarkers of neurodegenerative dementias, enormous advancement has taken place in the field, and the Task Force takes now the opportunity to extend and update the original paper. New concepts of Alzheimer's disease (AD) and the conceptual interactions between AD and dementia due to AD were developed, resulting in two sets for diagnostic/research criteria. Procedures for pre-analytical sample handling, biobanking, analyses and post-analytical interpretation of the results were intensively studied and optimised. A global quality control project was introduced to evaluate and monitor the inter-centre variability in measurements with the goal of harmonisation of results. Contexts of use and how to approach candidate biomarkers in biological specimens other than cerebrospinal fluid (CSF), e.g. blood, were precisely defined. Important development was achieved in neuroimaging techniques, including studies comparing amyloid-β positron emission tomography results to fluid-based modalities. Similarly, development in research laboratory technologies, such as ultra-sensitive methods, raises our hopes to further improve analytical and diagnostic accuracy of classic and novel candidate biomarkers. Synergistically, advancement in clinical trials of anti-dementia therapies energises and motivates the efforts to find and optimise the most reliable early diagnostic modalities. Finally, the first studies were published addressing the potential of cost-effectiveness of the biomarkers-based diagnosis of neurodegenerative disorders.
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Affiliation(s)
- Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Neurodegeneration Diagnostics, Medical University of Białystok, and Department of Biochemical Diagnostics, University Hospital of Białystok, Białystok, Poland
| | - Peter Riederer
- Center of Mental Health, Clinic and Policlinic of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Sid E. O’Bryant
- Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Marcel M. Verbeek
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer center, Nijmegen, The Netherlands
| | - Bruno Dubois
- Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Salpêtrièrie Hospital, INSERM UMR-S 975 (ICM), Paris 6 University, Paris, France
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
- Department of Neurology, Alzheimer Centre, Amsterdam Neuroscience VU University Medical Centre, Amsterdam, The Netherlands
| | | | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium
- Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
| | - Alfredo Ramirez
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Lucilla Parnetti
- Section of Neurology, Center for Memory Disturbances, Lab of Clinical Neurochemistry, University of Perugia, Perugia, Italy
| | | | - Charlotte E. Teunissen
- Neurochemistry Lab and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Harald Hampel
- AXA Research Fund & UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du Cerveau et de la Moelle Épinière (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, Paris, France
| | - Alberto Lleó
- Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Spain
| | - Frank Jessen
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
- German Center for Neurodegenerative Disorders (DZNE), Bonn, Germany
| | - Lidia Glodzik
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA
| | - Mony J. de Leon
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA
| | - Anne M. Fagan
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, Saint Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - José Luis Molinuevo
- Barcelonabeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
- Alzheimer’s Disease and Other Cognitive Disorders Unit, Hospital Clínic, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Willemijn J. Jansen
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Bengt Winblad
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Huddinge, Sweden
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ulf Andreasson
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kassel and University Medical Center Göttingen, Department of Neurology, Göttingen, Germany
| | - Jens Wiltfang
- Department of Psychiatry & Psychotherapy, University of Göttingen, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- iBiMED, Medical Sciences Department, University of Aveiro, Aveiro, Portugal
| | - Martin R. Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Inga Zerr
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Clinical Dementia Centre, Department of Neurology, University Medical School, Göttingen, Germany
| | - Ron Handels
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Huddinge, Sweden
| | | | - Gunilla Johansson
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Huddinge, Sweden
| | - Natalia Ermann
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - John Q. Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ilker Karaca
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Holger Wagner
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Patrick Oeckl
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Linda van Waalwijk van Doorn
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer center, Nijmegen, The Netherlands
| | - Maria Bjerke
- Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium
| | - Dimitrios Kapogiannis
- Laboratory of Neurosciences, National Institute on Aging/National Institutes of Health (NIA/NIH), Baltimore, MD, USA
| | - H. Bea Kuiperij
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer center, Nijmegen, The Netherlands
| | - Lucia Farotti
- Section of Neurology, Center for Memory Disturbances, Lab of Clinical Neurochemistry, University of Perugia, Perugia, Italy
| | - Yi Li
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA
| | - Brian A. Gordon
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, Saint Louis, MO, USA
- Department of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Stéphane Epelbaum
- Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Salpêtrièrie Hospital, INSERM UMR-S 975 (ICM), Paris 6 University, Paris, France
| | - Stephanie J. B. Vos
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Catharina J. M. Klijn
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
| | | | - Carolina Minguillon
- Barcelonabeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Matthias Schmitz
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Clinical Dementia Centre, Department of Neurology, University Medical School, Göttingen, Germany
| | - Carla Gallo
- Departamento de Ciencias Celulares y Moleculares/Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Andrea Lopez Mato
- Chair of Psychoneuroimmunoendocrinology, Maimonides University, Buenos Aires, Argentina
| | - Florence Thibaut
- Department of Psychiatry, University Hospital Cochin-Site Tarnier 89 rue d’Assas, INSERM 894, Faculty of Medicine Paris Descartes, Paris, France
| | - Simone Lista
- AXA Research Fund & UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du Cerveau et de la Moelle Épinière (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, Paris, France
| | - Daniel Alcolea
- Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Spain
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
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12
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Skillbäck T, Lautner R, Mattsson N, Schott JM, Skoog I, Nägga K, Kilander L, Wimo A, Winblad B, Eriksdotter M, Blennow K, Zetterberg H. Apolipoprotein E genotypes and longevity across dementia disorders. Alzheimers Dement 2018; 14:895-901. [PMID: 29548722 DOI: 10.1016/j.jalz.2018.02.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 06/02/2017] [Accepted: 02/07/2018] [Indexed: 10/17/2022]
Abstract
INTRODUCTION The ε4 allele of the apolipoprotein E (APOE) gene is a prominent risk factor for Alzheimer's disease (AD), but its implication in other dementias is less well studied. METHODS We used a data set on 2858 subjects (1098 AD, 260 vascular dementia [VaD], 145 mixed AD and VaD, 90 other dementia diagnoses, and 1265 controls) to examine the association of APOE polymorphisms with clinical dementia diagnoses, biomarker profiles, and longevity. RESULTS The ε4 allele was associated with reduced longevity as ε4 versus ε3 homozygotes lived on average 2.6 years shorter (P = .006). In AD, ε4 carriers lived 1.0 years shorter than noncarriers (P = .028). The ε4 allele was more prevalent in AD, mixed AD and VaD, and VaD patients compared to controls, but not in other dementia disorders. DISCUSSION The APOE ε4 allele is influential in AD but might also be of importance in VaD and in mixed AD and VaD, diseases in which concomitant AD pathology is common.
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Affiliation(s)
- Tobias Skillbäck
- Department of Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.
| | - Ronald Lautner
- Department of Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Niklas Mattsson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden; Department of Neurology, Skåne University Hospital, Lund, Sweden
| | | | - Ingmar Skoog
- Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Katarina Nägga
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Lena Kilander
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Anders Wimo
- Department of Neurobiology, Care Sciences, and Society (NVS), Center for Alzheimer Research, Division of Neurogeriatrics, Karolinska Institutet, Huddinge, Sweden; Centre for Research & Development Uppsala University/County Council of Gävleborg, Gävle, Sweden
| | - Bengt Winblad
- Department of Neurobiology, Care Sciences, and Society (NVS), Center for Alzheimer Research, Division of Neurogeriatrics, Karolinska Institutet, Huddinge, Sweden; Department Geriatric Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - Maria Eriksdotter
- Department of Neurobiology, Care Sciences, and Society (NVS), Center for Alzheimer Research, Division of Neurogeriatrics, Karolinska Institutet, Huddinge, Sweden; Department Geriatric Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - Kaj Blennow
- Department of Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
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13
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Garre-Olmo J, Garcia-Ptacek S, Calvó-Perxas L, Turró-Garriga O, López-Pousa S, Eriksdotter M. Diagnosis of Dementia in the Specialist Setting: A Comparison Between the Swedish Dementia Registry (SveDem) and the Registry of Dementias of Girona (ReDeGi). J Alzheimers Dis 2018; 53:1341-51. [PMID: 27392854 PMCID: PMC5115613 DOI: 10.3233/jad-160098] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
The aim of this study was to compare the frequency of dementia diagnoses from two dementia registries in Europe. Patients registered between 2007 and 2013 in the Swedish Dementia Registry (SveDem; Sweden) and in the Registry of Dementias of Girona (ReDeGi; North-East of Spain) were selected. We compared sociodemographic data, Mini-Mental State Examination (MMSE) scores, dementia subtype, and medication consumption of 22,384 cases from SveDem and 5,032 cases from ReDeGi. The average age (78.1 years SveDem versus 79.7 years ReDeGi) and the gender (female 58.2% SveDem versus 61.5% ReDeGi) did not greatly differ. MMSE score at diagnosis was higher for SveDem cases (22.1 versus 17.8). Alzheimer’s disease (AD) accounted for the main dementia subtype (36.6% SveDem versus 55.6% ReDeGi). The proportion of vascular dementia (VaD) and mixed dementia was higher in SveDem (18.8% versus 6.4% and 24.9 versus 13.4%), with an odds ratio (OR) and 95% confidence interval (CI) for SveDem relative to the ReDeGi of 3.41 (3.03–3.84) for VaD, and 2.15 (1.97–2.35) for mixed dementia. This was at the expense of a lower frequency of AD in SveDem (OR 0.41; 95% CI 0.39–0.44). Other dementia diagnoses such as frontotemporal dementia or dementia with Lewy bodies did not significantly differ between registries (2.3% versus 2.9%; 1.9 versus 3.1%). Large differences in medication consumption at the time of dementia diagnosis were detected (4.7 treatments SveDem versus 6.8 ReDeGi). Northern and southern European dementia cohorts differ in demographic characteristics, MMSE score at diagnosis, and drug treatment profile.
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Affiliation(s)
- Josep Garre-Olmo
- Girona Biomedical Research Institute [IDIBGI] - Institut d'Assistència Sanitària, Girona, Catalonia, Spain.,Deparment of Medical Sciences, University of Girona, Girona, Catalonia, Spain
| | - Sara Garcia-Ptacek
- Department of Neurobiology, Care Sciences and Society, Center for Alzheimer research, Division of Clinical Geriatrics, Karolinska Institutet, Huddinge, Stockholm, Sweden.,Department of Geriatric Medicine, Karolinska University Hospital, Huddinge, Stockholm, Sweden
| | - Laia Calvó-Perxas
- Girona Biomedical Research Institute [IDIBGI] - Institut d'Assistència Sanitària, Girona, Catalonia, Spain
| | - Oriol Turró-Garriga
- Girona Biomedical Research Institute [IDIBGI] - Institut d'Assistència Sanitària, Girona, Catalonia, Spain
| | - Secundino López-Pousa
- Girona Biomedical Research Institute [IDIBGI] - Institut d'Assistència Sanitària, Girona, Catalonia, Spain
| | - Maria Eriksdotter
- Department of Neurobiology, Care Sciences and Society, Center for Alzheimer research, Division of Clinical Geriatrics, Karolinska Institutet, Huddinge, Stockholm, Sweden.,Department of Geriatric Medicine, Karolinska University Hospital, Huddinge, Stockholm, Sweden
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Abstract
Many investigators recognize the importance of data sharing; however, they lack the capability to share data. Research efforts could be vastly expanded if Alzheimer disease data from around the world was linked by a global infrastructure that would enable scientists to access and utilize a secure network of data with thousands of study participants at risk for or already suffering from the disease. We discuss the benefits of data sharing, impediments today, and solutions to achieving this on a global scale. We introduce the Global Alzheimer's Association Interactive Network (GAAIN), a novel approach to create a global network of Alzheimer disease data, researchers, analytical tools, and computational resources to better our understanding of this debilitating condition. GAAIN has addressed the key impediments to Alzheimer disease data sharing with its model and approach. It presents practical, promising, yet, data owner-sensitive data-sharing solutions.
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Michalowsky B, Flessa S, Hertel J, Goetz O, Hoffmann W, Teipel S, Kilimann I. Cost of diagnosing dementia in a German memory clinic. ALZHEIMERS RESEARCH & THERAPY 2017; 9:65. [PMID: 28830516 PMCID: PMC5568303 DOI: 10.1186/s13195-017-0290-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Accepted: 07/17/2017] [Indexed: 12/20/2022]
Abstract
BACKGROUND Little is known about diagnostic work-ups or the costs of diagnosing dementia in specialized care. Here, we analyzed the costs of diagnosing dementia according to specific dementia disorders. METHODS A prospective descriptive design was used to analyze the cost of diagnosing dementia for 120 patients with suspected dementia at a German memory clinic. The duration of clinical consultations and use of technical procedures were recorded by the memory clinic staff. To detect cost drivers, a multiple linear regression model was used. RESULTS Of patients with suspected dementia, 44% were diagnosed with dementia. The total cost per patient and diagnostic process amounted to 501 € across all patients and 659 € for patients who were diagnosed with dementia. The costs varied between 649 € for patients with Alzheimer's disease, 662 € for patients with vascular or mixed dementia, and 705 € for patients with unspecific dementia. A final diagnosis of dementia was the only factor that was significantly associated with the diagnostic cost (b = 356, CI- 182, CI+ 531, p = 0.001). CONCLUSION The high range of costs reflects differences in diagnostic demands depending on the etiology of dementia. This variation needs to be transferred into reimbursement. Further studies are needed to assess the influence of the type of cognitive impairment and of the setting on diagnostic costs.
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Affiliation(s)
- Bernhard Michalowsky
- Deutsches Zentrum fur Neurodegenerative Erkrankungen (DZNE) Standort Rostock/Greifswald, Greifswald, Germany.
| | - Steffen Flessa
- Department of General Business Administration and Health Care Management, Ernst Moritz Arndt University Greifswald, Greifswald, D-17489, Germany
| | - Johannes Hertel
- Deutsches Zentrum fur Neurodegenerative Erkrankungen (DZNE) Standort Rostock/Greifswald, Greifswald, Germany.,Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Ellernholzstraße 1-2, D-17487, Germany
| | - Olav Goetz
- Department of General Business Administration and Health Care Management, Ernst Moritz Arndt University Greifswald, Greifswald, D-17489, Germany
| | - Wolfgang Hoffmann
- Deutsches Zentrum fur Neurodegenerative Erkrankungen (DZNE) Standort Rostock/Greifswald, Greifswald, Germany.,Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald (UMG), Greifswald, Ellernholzstrasse 1-2, D-17487, Germany
| | - Stefan Teipel
- Department of Psychosomatic Medicine, University Hospital Rostock, and German Centre for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Rostock, Gehlsheimer Strasse 20, D-18147, Germany
| | - Ingo Kilimann
- Department of Psychosomatic Medicine, University Hospital Rostock, and German Centre for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Rostock, Gehlsheimer Strasse 20, D-18147, Germany
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16
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Garcia-Ptacek S, Modéer IN, Kåreholt I, Fereshtehnejad SM, Farahmand B, Religa D, Eriksdotter M. Differences in diagnostic process, treatment and social Support for Alzheimer's dementia between primary and specialist care: resultss from the Swedish Dementia Registry. Age Ageing 2017; 46:314-319. [PMID: 27810851 PMCID: PMC5859983 DOI: 10.1093/ageing/afw189] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Accepted: 09/28/2016] [Indexed: 11/16/2022] Open
Abstract
Background the increasing prevalence of Alzheimer's dementia (AD) has shifted the burden of management towards primary care (PC). Our aim is to compare diagnostic process and management of AD in PC and specialist care (SC). Design cross-sectional study. Subjects a total of, 9,625 patients diagnosed with AD registered 2011–14 in SveDem, the Swedish Dementia Registry. Methods descriptive statistics are shown. Odds ratios are presented for test performance and treatment in PC compared to SC, adjusted for age, sex, Mini-Mental State Examination (MMSE) and number of medication. Results a total of, 5,734 (60%) AD patients from SC and 3,891 (40%) from PC. In both, 64% of patients were women. PC patients were older (mean age 81 vs. 76; P < 0.001), had lower MMSE (median 21 vs. 22; P < 0.001) and more likely to receive home care (31% vs. 20%; P < 0.001) or day care (5% vs. 3%; P < 0.001). Fewer diagnostic tests were performed in PC and diagnostic time was shorter. Basic testing was less likely to be complete in PC. The greatest differences were found for neuroimaging (82% in PC vs. 98% in SC) and clock tests (84% vs. 93%). These differences remained statistically significant after adjusting for MMSE and demographic characteristics. PC patients received less antipsychotic medication and more anxiolytics and hypnotics, but there were no significant differences in use of cholinesterase inhibitors between PC and SC. Conclusion primary and specialist AD patients differ in background characteristics, and this can influence diagnostic work-up and treatment. PC excels in restriction of antipsychotic use. Use of head CT and clock test in PC are areas for improvement in Sweden.
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Affiliation(s)
- Sara Garcia-Ptacek
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, 141 57 Huddinge, Stockholm, Sweden
- Department of Geriatric Medicine, Karolinska University Hospital, 141 86 Huddinge, Stockholm, Sweden
- Address correspondence to: S. Garcia-Ptacek, Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Novum plan 5 SE141-83, Huddinge, Stockholm, Sweden. Tel: +46(0)8-58585408.
| | - Ingrid Nilsson Modéer
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, 141 57 Huddinge, Stockholm, Sweden
| | - Ingemar Kåreholt
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Institute of Gerontology, School of Health and Welfare, Jönköping University, Jönköping, Sweden
| | - Seyed-Mohammad Fereshtehnejad
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, 141 57 Huddinge, Stockholm, Sweden
- Department of Neurology and Neurosurgery, Montreal General Hospital, McGill University, Montreal, Quebec, Canada
| | - Bahman Farahmand
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, 141 57 Huddinge, Stockholm, Sweden
| | - Dorota Religa
- Department of Geriatric Medicine, Karolinska University Hospital, 141 86 Huddinge, Stockholm, Sweden
- Division for Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, 141 57 Huddinge, Sweden
| | - Maria Eriksdotter
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, 141 57 Huddinge, Stockholm, Sweden
- Department of Geriatric Medicine, Karolinska University Hospital, 141 86 Huddinge, Stockholm, Sweden
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de Wilde A, van Maurik IS, Kunneman M, Bouwman F, Zwan M, Willemse EAJ, Biessels GJ, Minkman M, Pel R, Schoonenboom NSM, Smets EMA, Wattjes MP, Barkhof F, Stephens A, van Lier EJ, Batrla-Utermann R, Scheltens P, Teunissen CE, van Berckel BNM, van der Flier WM. Alzheimer's biomarkers in daily practice (ABIDE) project: Rationale and design. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2017; 6:143-151. [PMID: 28239639 PMCID: PMC5318541 DOI: 10.1016/j.dadm.2017.01.003] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Introduction The Alzheimer's biomarkers in daily practice (ABIDE) project is designed to translate knowledge on diagnostic tests (magnetic resonance imaging [MRI], cerebrospinal fluid [CSF], and amyloid positron emission tomography [PET]) to daily clinical practice with a focus on mild cognitive impairment (MCI) Methods ABIDE is a 3-year project with a multifaceted design and is structured into interconnected substudies using both quantitative and qualitative research methods. Results Based on retrospective data, we develop personalized risk estimates for MCI patients. Prospectively, we collect MRI and CSF data from 200 patients from local memory clinics and amyloid PET from 500 patients in a tertiary setting, to optimize application of these tests in daily practice. Furthermore, ABIDE will develop strategies for optimal patient-clinician conversations. Discussion Ultimately, this will result in a set of practical tools for clinicians to support the choice of diagnostic tests and facilitate the interpretation and communication of their results.
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Affiliation(s)
- Arno de Wilde
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Ingrid S van Maurik
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Marleen Kunneman
- Department of Medical Psychology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Femke Bouwman
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Marissa Zwan
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Eline A J Willemse
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands; Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Ruth Pel
- Vilans, Utrecht, The Netherlands
| | | | - Ellen M A Smets
- Department of Medical Psychology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Mike P Wattjes
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands; Institutes of Neurology and Healthcare Engineering, UCL, London, UK
| | | | | | | | - Philip Scheltens
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Bart N M van Berckel
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
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Wimo A, Jönsson L, Fratiglioni L, Sandman PO, Gustavsson A, Sköldunger A, Johansson L. The societal costs of dementia in Sweden 2012 - relevance and methodological challenges in valuing informal care. ALZHEIMERS RESEARCH & THERAPY 2016; 8:59. [PMID: 27986093 PMCID: PMC5162098 DOI: 10.1186/s13195-016-0215-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Accepted: 10/14/2016] [Indexed: 11/15/2022]
Abstract
Background In this study, we sought to estimate the societal cost of illness in dementia in Sweden in 2012 using different costing approaches to highlight methodological issues. Methods We conducted a prevalence-based cost-of-illness study with a societal perspective. Results The societal costs of dementia in Sweden in 2012 were SEK 62.9 billion (approximately €7.2 billion, approximately US$9.0 billion) or SEK 398,000 per person with dementia (approximately €45,000, approximately US$57,000). By far the most important cost item is the cost of institutional care: about 60% of the costs. In the sensitivity analysis, different quantification and costing approaches for informal care resulted in a great variation in the total societal cost, ranging from SEK 60 billion (€6.8 billion, US$8.6 billion) to SEK 124 billion (€14.1 billion, US$17.8 billion). Conclusions The societal costs of dementia are very high. The cost per person with dementia has decreased somewhat, mainly because of de-institutionalisation. The majority of the costs occur in the social care sector, but the costing of informal care is crucial for the cost estimates.
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Affiliation(s)
- Anders Wimo
- Aging Research Centre, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet and Stockholm University, Stockholm, Sweden. .,Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Huddinge, Stockholm, Sweden. .,Centre for Research & Development, Uppsala University/County Council of Gävleborg, Gävle, Sweden.
| | - Linus Jönsson
- Aging Research Centre, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Laura Fratiglioni
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Huddinge, Stockholm, Sweden
| | - Per Olof Sandman
- Division of Caring Sciences, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden.,Department of Nursing, Umeå University, Umeå, Sweden.,Department of Health Sciences, Luleå University of Technology, Luleå, Sweden
| | - Anders Gustavsson
- Aging Research Centre, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Anders Sköldunger
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Huddinge, Stockholm, Sweden
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19
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Recommendations for CSF AD biomarkers in the diagnostic evaluation of dementia. Alzheimers Dement 2016; 13:274-284. [PMID: 28341065 DOI: 10.1016/j.jalz.2016.09.008] [Citation(s) in RCA: 103] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2016] [Accepted: 09/19/2016] [Indexed: 02/04/2023]
Abstract
This article presents recommendations, based on the Grading of Recommendations, Assessment, Development, and Evaluation method, for the clinical application of cerebrospinal fluid (CSF) amyloid-β1-42, tau, and phosphorylated tau in the diagnostic evaluation of patients with dementia. The recommendations were developed by a multidisciplinary working group based on the available evidence and consensus from focused discussions for (i) identification of Alzheimer's disease (AD) as the cause of dementia, (ii) prediction of rate of decline, (iii) cost-effectiveness, and (iv) interpretation of results. The working group found sufficient evidence to support a recommendation to use CSF AD biomarkers as a supplement to clinical evaluation, particularly in uncertain and atypical cases, to identify or exclude AD as the cause of dementia. Because of insufficient evidence, it was uncertain whether CSF AD biomarkers outperform imaging biomarkers. Operational recommendations for the interpretation of ambiguous CSF biomarker results were also provided.
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20
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Winblad B, Amouyel P, Andrieu S, Ballard C, Brayne C, Brodaty H, Cedazo-Minguez A, Dubois B, Edvardsson D, Feldman H, Fratiglioni L, Frisoni GB, Gauthier S, Georges J, Graff C, Iqbal K, Jessen F, Johansson G, Jönsson L, Kivipelto M, Knapp M, Mangialasche F, Melis R, Nordberg A, Rikkert MO, Qiu C, Sakmar TP, Scheltens P, Schneider LS, Sperling R, Tjernberg LO, Waldemar G, Wimo A, Zetterberg H. Defeating Alzheimer's disease and other dementias: a priority for European science and society. Lancet Neurol 2016; 15:455-532. [DOI: 10.1016/s1474-4422(16)00062-4] [Citation(s) in RCA: 1001] [Impact Index Per Article: 111.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2015] [Revised: 10/06/2015] [Accepted: 02/09/2016] [Indexed: 12/15/2022]
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Falahati F, Fereshtehnejad SM, Religa D, Wahlund LO, Westman E, Eriksdotter M. The use of MRI, CT and lumbar puncture in dementia diagnostics: data from the SveDem Registry. Dement Geriatr Cogn Disord 2015; 39:81-91. [PMID: 25358376 DOI: 10.1159/000366194] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/22/2014] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS The use of structural brain imaging [computed tomography (CT)/magnetic resonance imaging (MRI)] and the analysis of cerebrospinal fluid biomarkers are included in the guidelines for the diagnosis of dementia. The influence of variables such as age, gender and disease severity on the use of MRI, CT and lumbar puncture (LP) for the differential diagnosis of dementia and the consonance with the recommendations of the Swedish national guidelines were investigated. METHODS From the National Swedish Dementia Registry (SveDem), 17,057 newly diagnosed dementia patients were included in our study, with the majority from specialist care units (90%). RESULTS In the diagnostic workup, a CT was performed in 87%, MRI in 16% and LP in 40% of the cases. Age (p < 0.001) and cognitive status (p < 0.001) significantly influenced the use of MRI, CT or LP. Older patients with severe dementia were often investigated with CT. LP and MRI were used more often when less common dementia disorders were suspected. CONCLUSION Our findings indicate that age, severity of cognitive impairment and the type of dementia disorder suspected are determinants for the choice of CT, MRI or LP. The majority of the dementia workups in specialist care units follow the recommendations of the Swedish national guidelines where CT is performed as a basic workup, and MRI and LP are chosen when extended workup is needed. .
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Affiliation(s)
- Farshad Falahati
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
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Skillbäck T, Farahmand BY, Rosén C, Mattsson N, Nägga K, Kilander L, Religa D, Wimo A, Winblad B, Schott JM, Blennow K, Eriksdotter M, Zetterberg H. Cerebrospinal fluid tau and amyloid-β1-42 in patients with dementia. Brain 2015; 138:2716-31. [PMID: 26133663 DOI: 10.1093/brain/awv181] [Citation(s) in RCA: 138] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2014] [Accepted: 04/30/2015] [Indexed: 12/12/2022] Open
Abstract
Progressive cognitive decline in combination with a cerebrospinal fluid biomarker pattern of low levels of amyloid-β1-42 and high levels of total tau and phosphorylated tau is typical of Alzheimer's disease. However, several neurodegenerative disorders may overlap with Alzheimer's disease both in regards to clinical symptoms and neuropathology. In a uniquely large cohort of dementia patients, we examined the associations of cerebrospinal fluid biomarkers for Alzheimer's disease molecular pathology with clinical dementia diagnoses and disease severity. We cross-referenced the Swedish Dementia Registry with the clinical laboratory database at the Sahlgrenska University Hospital. The final data set consisted of 5676 unique subjects with a clinical dementia diagnosis and a complete set of measurements for cerebrospinal fluid amyloid-β1-42, total tau and phosphorylated tau. In cluster analysis, disregarding clinical diagnosis, the optimal natural separation of this data set was into two clusters, with the majority of patients with early onset Alzheimer's disease (75%) and late onset Alzheimer's disease (73%) assigned to one cluster and the patients with vascular dementia (91%), frontotemporal dementia (94%), Parkinson's disease dementia (94%) and dementia with Lewy bodies (87%) to the other cluster. Frontotemporal dementia had the highest cerebrospinal fluid levels of amyloid-β1-42 and the lowest levels of total tau and phosphorylated tau. The highest levels of total tau and phosphorylated tau and the lowest levels of amyloid-β1-42 and amyloid-β1-42:phosphorylated tau ratios were found in Alzheimer's disease. Low amyloid-β1-42, high total tau and high phosphorylated tau correlated with low Mini-Mental State Examination scores in Alzheimer's disease. In Parkinson's disease dementia and vascular dementia low cerebrospinal fluid amyloid-β1-42 was associated with low Mini-Mental State Examination score. In the vascular dementia, frontotemporal dementia, dementia with Lewy bodies and Parkinson's disease dementia groups 53%, 34%, 67% and 53% of the subjects, respectively had abnormal amyloid-β1-42 levels, 41%, 41%, 28% and 28% had abnormal total tau levels, and 29%, 28%, 25% and 19% had abnormal phosphorylated tau levels. Cerebrospinal fluid biomarkers were strongly associated with specific clinical dementia diagnoses with Alzheimer's disease and frontotemporal dementia showing the greatest difference in biomarker levels. In addition, cerebrospinal fluid amyloid-β1-42, total tau, phosphorylated tau and the amyloid-β1-42:phosphorylated tau ratio all correlated with poor cognitive performance in Alzheimer's disease, as did cerebrospinal fluid amyloid-β1-42 in Parkinson's disease dementia and vascular dementia. The results support the use of cerebrospinal fluid biomarkers to differentiate between dementias in clinical practice, and to estimate disease severity.
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Affiliation(s)
- Tobias Skillbäck
- 1 Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Bahman Y Farahmand
- 2 Department of Neurobiology, Care Sciences, and Society (NVS), Centre for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Huddinge, Sweden
| | - Christoffer Rosén
- 1 Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Niklas Mattsson
- 1 Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden 3 Department of Veterans Affairs Medical Centre, Centre for Imaging of Neurodegenerative Diseases, University of California San Francisco, San Francisco, CA, USA
| | - Katarina Nägga
- 4 Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Lena Kilander
- 5 Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Dorota Religa
- 6 Department of Neurobiology, Care Sciences, and Society (NVS), Centre for Alzheimer Research, Division for Neurogeriatrtics, Karolinska Institutet, Huddinge, Sweden 7 Department Geriatric Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - Anders Wimo
- 6 Department of Neurobiology, Care Sciences, and Society (NVS), Centre for Alzheimer Research, Division for Neurogeriatrtics, Karolinska Institutet, Huddinge, Sweden
| | - Bengt Winblad
- 6 Department of Neurobiology, Care Sciences, and Society (NVS), Centre for Alzheimer Research, Division for Neurogeriatrtics, Karolinska Institutet, Huddinge, Sweden 7 Department Geriatric Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - Jonathan M Schott
- 1 Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Kaj Blennow
- 1 Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Maria Eriksdotter
- 2 Department of Neurobiology, Care Sciences, and Society (NVS), Centre for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Huddinge, Sweden 7 Department Geriatric Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - Henrik Zetterberg
- 1 Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden 8 UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK
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Benchmarking biomarker-based criteria for Alzheimer's disease: Data from the Swedish Dementia Registry, SveDem. Alzheimers Dement 2015; 11:1470-1479. [PMID: 26079415 DOI: 10.1016/j.jalz.2015.04.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2014] [Revised: 02/27/2015] [Accepted: 04/16/2015] [Indexed: 11/22/2022]
Abstract
INTRODUCTION New research guidelines for the diagnosis of Alzheimer's disease (AD) include biomarker evidence of amyloid-β (Aβ) and tau pathology. The aim of this study was to investigate what proportion of AD patients diagnosed in clinical routine in Sweden that had an AD-indicative cerebrospinal fluid (CSF) biomarker profile. METHODS By cross-referencing a laboratory database with the Swedish Dementia Registry (SveDem), 2357 patients with data on CSF Aβ and tau biomarkers and a clinical diagnosis of AD with dementia were acquired. RESULTS Altogether, 77.2% had pathologic Aβ42 and total tau or phosphorylated tau in CSF. These results were stable across age groups. Female sex and low mini-mental state examination score increased the likelihood of pathologic biomarkers. DISCUSSION About a quarter of clinically diagnosed AD patients did not have an AD-indicative CSF biomarker profile. This discrepancy may partly reflect incorrect (false positive) clinical diagnosis or a lack in sensitivity of the biomarker assays.
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Religa D, Fereshtehnejad SM, Cermakova P, Edlund AK, Garcia-Ptacek S, Granqvist N, Hallbäck A, Kåwe K, Farahmand B, Kilander L, Mattsson UB, Nägga K, Nordström P, Wijk H, Wimo A, Winblad B, Eriksdotter M. SveDem, the Swedish Dementia Registry - a tool for improving the quality of diagnostics, treatment and care of dementia patients in clinical practice. PLoS One 2015; 10:e0116538. [PMID: 25695768 PMCID: PMC4335024 DOI: 10.1371/journal.pone.0116538] [Citation(s) in RCA: 123] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2014] [Accepted: 12/09/2014] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The Swedish Dementia Registry (SveDem) was developed with the aim to improve the quality of diagnostic work-up, treatment and care of patients with dementia disorders in Sweden. METHODS SveDem is an internet based quality registry where several indicators can be followed over time. It includes information about the diagnostic work-up, medical treatment and community support (www.svedem.se). The patients are diagnosed and followed-up yearly in specialist units, primary care centres or in nursing homes. RESULTS The database was initiated in May 2007 and covers almost all of Sweden. There were 28 722 patients registered with a mean age of 79.3 years during 2007-2012. Each participating unit obtains continuous online statistics from its own registrations and they can be compared with regional and national data. A report from SveDem is published yearly to inform medical and care professionals as well as political and administrative decision-makers about the current quality of diagnostics, treatment and care of patients with dementia disorders in Sweden. CONCLUSION SveDem provides knowledge about current dementia care in Sweden and serves as a framework for ensuring the quality of diagnostics, treatment and care across the country. It also reflects changes in quality dementia care over time. Data from SveDem can be used to further develop the national guidelines for dementia and to generate new research hypotheses.
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Affiliation(s)
- Dorota Religa
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division for Neurogeriatrics, Huddinge, Sweden
- Geriatric Clinic, Karolinska University Hospital, Stockholm, Sweden
- * E-mail:
| | - Seyed-Mohammad Fereshtehnejad
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, Stockholm, Sweden
| | - Pavla Cermakova
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division for Neurogeriatrics, Huddinge, Sweden
| | | | - Sara Garcia-Ptacek
- Geriatric Clinic, Karolinska University Hospital, Stockholm, Sweden
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, Stockholm, Sweden
| | | | | | | | - Bahman Farahmand
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division for Neurogeriatrics, Huddinge, Sweden
| | - Lena Kilander
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Ulla-Britt Mattsson
- Neuropsychiatric clinic, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Katarina Nägga
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Peter Nordström
- Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Umeå, Sweden
| | - Helle Wijk
- Sahlgrenska Academy, Institute of Health and Care Sciences at Gothenburg University, Gothenburg, Sweden
| | - Anders Wimo
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division for Neurogeriatrics, Huddinge, Sweden
- Centre for Research & Development, Uppsala University/County Council of Gävleborg, Gävle, Sweden
| | - Bengt Winblad
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division for Neurogeriatrics, Huddinge, Sweden
| | - Maria Eriksdotter
- Geriatric Clinic, Karolinska University Hospital, Stockholm, Sweden
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, Stockholm, Sweden
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Fereshtehnejad SM, Johnell K, Eriksdotter M. Anti-dementia drugs and co-medication among patients with Alzheimer's disease : investigating real-world drug use in clinical practice using the Swedish Dementia Quality Registry (SveDem). Drugs Aging 2014; 31:215-24. [PMID: 24497071 DOI: 10.1007/s40266-014-0154-8] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND There is a substantial risk of drug-interactions, adverse events, and inappropriate drug use (IDU) among frail Alzheimer's disease (AD) patients; however, there are few studies about co-medication and IDU in clinical settings. OBJECTIVES To investigate anti-dementia drugs, associated characteristics of cholinesterase inhibitors (ChEIs) and NMDA antagonists, co-medication, and IDU in a large population of outpatients with mild AD. METHODS In this cross-sectional analysis of medication characteristics, we analyzed data from the Swedish Dementia Quality Registry (SveDem) on 5,907 newly diagnosed AD patients who were registered in memory clinics. SveDem is a national quality registry in Sweden, which was established in 2007 to evaluate and improve dementia healthcare. Comparisons were performed concerning co-medications, use of ≥3 psychotropic drugs (IDU) and polypharmacy (≥5 drugs) based on anti-dementia treatment (ChEIs or NMDA antagonists). Information on baseline characteristics such as age, sex, living conditions, cognitive evaluation based on the Mini-Mental State Examination (MMSE) score, and diagnostic work-up was also evaluated. RESULTS The majority of the AD patients were in the mild stage of the disease. Overall, 4,342 (75.4 %) patients received any ChEI, 438 (7.6 %) used an NMDA antagonist and 74 (1.3 %) patients were treated with both. However, 907 (15.7 %) patients were not treated with any anti-dementia drug. While polypharmacy was seen in 33.5 % of patients, only 2.6 % concurrently used ≥3 psychotropic medications. Patients on ChEIs were significantly younger, had a higher MMSE score and were treated with a smaller number of medications (a proxy for overall co-morbidity). Co-medication with antipsychotics [3.3 vs. 7.6 %; adjusted odds ratio (OR) 0.55 (95 % CI 0.38-0.79)] and anxiolytics [5.8 vs. 10.9 %; adjusted OR 0.62 (95 % CI 0.46-0.84)] was significantly lower in the ChEI+ group than in those with no anti-dementia treatment. CONCLUSION Patients taking ChEIs were treated with less antipsychotics and anxiolytics than those not taking ChEIs. More research is warranted to elucidate whether use of ChEIs in clinical practice can reduce the need for psychotropic drugs in AD patients.
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Affiliation(s)
- Seyed-Mohammad Fereshtehnejad
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet, Novum 5th floor, 14186, Stockholm, Sweden,
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García-Ptacek S, Kåreholt I, Farahmand B, Cuadrado ML, Religa D, Eriksdotter M. Body-Mass Index and Mortality in Incident Dementia: A Cohort Study on 11,398 Patients From SveDem, the Swedish Dementia Registry. J Am Med Dir Assoc 2014; 15:447.e1-7. [DOI: 10.1016/j.jamda.2014.03.001] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2014] [Revised: 02/26/2014] [Accepted: 03/04/2014] [Indexed: 02/06/2023]
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Faxén-Irving G, Fereshtehnejad SM, Falahati F, Cedergren L, Göranzon H, Wallman K, García-Ptacek S, Eriksdotter M, Religa D. Body Mass Index in Different Dementia Disorders: Results from the Swedish Dementia Quality Registry (SveDem). Dement Geriatr Cogn Dis Extra 2014; 4:65-75. [PMID: 24847345 PMCID: PMC4024511 DOI: 10.1159/000360415] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Background Most patients with dementia lose body weight over the course of the disease and have a lower body mass index (BMI) than subjects with normal cognition. Aims To examine body mass index and how it correlates with cognitive status, age and gender in patients with different dementia disorders. Materials and Methods Data from newly diagnosed dementia patients in the Swedish Dementia Quality Registry (SveDem) and recorded information about age, gender, cognitive status and BMI was analyzed using independent samples t tests and one-way analysis of variance. Results A total of 12,015 patients, 7,121 females and 4,894 males were included in the study. The average BMI was 24. More than a quarter of the patients had a BMI of <22. Females were significantly older (p < 0.001) and males had a significantly higher BMI (p < 0.001) at the time of diagnosis. BMI differed significantly by gender in various dementia disorders and correlated significantly with cognitive status and age. Conclusion At the time of diagnosis, patients with various dementia disorders had a BMI within the normal range. However, a significant number had a BMI in a lower, suboptimal range for older persons stressing the need for nutritional assessment as part of the dementia work up. Further analyses with longitudinal follow-up are needed to investigate BMI changes over time.
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Affiliation(s)
- Gerd Faxén-Irving
- Department of Neurobiology, Care Sciences and Society Karolinska Institutet, Sweden ; Department of Clinical Nutrition and Dietetics, Karolinska University Hospital, Stockholm, Uppsala, Sweden
| | | | - Farshad Falahati
- Department of Neurobiology, Care Sciences and Society Karolinska Institutet, Sweden
| | - Lars Cedergren
- Department of Neurobiology, Care Sciences and Society Karolinska Institutet, Sweden
| | - Helen Göranzon
- Department of Food, Nutrition and Dietetics, Uppsala University, Uppsala, Sweden
| | - Kristine Wallman
- Department of Food, Nutrition and Dietetics, Uppsala University, Uppsala, Sweden
| | - Sara García-Ptacek
- Department of Neurobiology, Care Sciences and Society Karolinska Institutet, Sweden ; Department of Medicine, Universidad Complutense de Madrid, Madrid, Spain
| | - Maria Eriksdotter
- Department of Neurobiology, Care Sciences and Society Karolinska Institutet, Sweden ; Department of Geriatric Medicine, Karolinska University Hospital, Stockholm, Uppsala, Sweden
| | - Dorota Religa
- Department of Neurobiology, Care Sciences and Society Karolinska Institutet, Sweden ; Department of Geriatric Medicine, Karolinska University Hospital, Stockholm, Uppsala, Sweden ; Medical Research Centre, Polish Academy of Sciences, Warsaw, Poland
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Wimo A, Ballard C, Brayne C, Gauthier S, Handels R, Jones RW, Jonsson L, Khachaturian AS, Kramberger M. Health economic evaluation of treatments for Alzheimer's disease: impact of new diagnostic criteria. J Intern Med 2014; 275:304-16. [PMID: 24605810 DOI: 10.1111/joim.12167] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The socio-economic impact of Alzheimer's disease (AD) and other dementias is enormous, and the potential economic challenges ahead are clear given the projected future numbers of individuals with these conditions. Because of the high prevalence and cost of dementia, it is very important to assess any intervention from a cost-effectiveness viewpoint. The diagnostic criteria for preclinical AD suggested by the National Institute on Aging and Alzheimer's Association workgroups in combination with the goal of effective disease-modifying treatment (DMT) are, however, a challenge for clinical practice and for the design of clinical trials. Key issues for future cost-effectiveness studies include the following: (i) the consequences for patients if diagnosis is shifted from AD-dementia to predementia states, (ii) bridging the gap between clinical trial populations and patients treated in clinical practice, (iii) translation of clinical trial end-points into measures that are meaningful to patients and policymakers/payers and (iv) how to measure long-term effects. To improve cost-effectiveness studies, long-term population-based data on disease progression, costs and outcomes in clinical practice are needed not only in dementia but also in predementia states. Reliable surrogate end-points in clinical trials that are sensitive to detect effects even in predementia states are also essential as well as robust and validated modelling methods from predementia states that also take into account comorbidities and age. Finally, the ethical consequences of early diagnosis should be considered.
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Affiliation(s)
- A Wimo
- Department of Neurobiology, Care Sciences and Society, Alzheimer's Disease Research Center, Karolinska Institutet, Stockholm, Sweden; Centre for Research & Development, Uppsala University/County of Gävleborg, Gävle, Sweden
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