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      Association of Alzheimer Disease With Life Expectancy in People With Down Syndrome

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          Abstract

          This meta-analysis assesses whether the variability in symptom onset of Alzheimer disease in Down syndrome is similar to autosomal dominant Alzheimer disease and its association with mortality.

          Key Points

          Question

          Is age at onset of Alzheimer disease in people with Down syndrome as consistent as in autosomal dominant forms, and is the association of the disease with mortality compatible with near full penetrance?

          Findings

          In this meta-analysis and cohort study, the variability of age at symptom onset in Down syndrome was comparable to autosomal dominant Alzheimer disease. The mortality data and the consistent age at onset were compatible with fully penetrant Alzheimer disease.

          Meaning

          These findings suggest that closing the life expectancy gap for individuals with Down syndrome compared with the general population will require effective prevention or management of Alzheimer disease.

          Abstract

          Importance

          People with Down syndrome have a high risk of developing Alzheimer disease dementia. However, penetrance and age at onset are considered variable, and the association of this disease with life expectancy remains unclear because of underreporting in death certificates.

          Objective

          To assess whether the variability in symptom onset of Alzheimer disease in Down syndrome is similar to autosomal dominant Alzheimer disease and to assess its association with mortality.

          Design, Setting, and Participants

          This study combines a meta-analysis with the assessment of mortality data from US death certificates (n = 77 347 case records with a International Classification of Diseases code for Down syndrome between 1968 to 2019; 37 900 [49%] female) and from a longitudinal cohort study (n = 889 individuals; 46% female; 3.2 [2.1] years of follow-up) from the Down Alzheimer Barcelona Neuroimaging Initiative (DABNI).

          Main Outcomes and Measures

          A meta-analysis was conducted to investigate the age at onset, age at death, and duration of Alzheimer disease dementia in Down syndrome. PubMed/Medline, Embase, Web of Science, and CINAHL were searched for research reports, and OpenGray was used for gray literature. Studies with data about the age at onset or diagnosis, age at death, and disease duration were included. Pooled estimates with corresponding 95% CIs were calculated using random-effects meta-analysis. The variability in disease onset was compared with that of autosomal dominant Alzheimer disease. Based on these estimates, a hypothetical distribution of age at death was constructed, assuming fully penetrant Alzheimer disease. These results were compared with real-world mortality data.

          Results

          In this meta-analysis, the estimate of age at onset was 53.8 years (95% CI, 53.1-54.5 years; n = 2695); the estimate of age at death, 58.4 years (95% CI, 57.2-59.7 years; n = 324); and the estimate of disease duration, 4.6 years (95% CI, 3.7-5.5 years; n = 226). Coefficients of variation and 95% prediction intervals of age at onset were comparable with those reported in autosomal dominant Alzheimer disease. US mortality data revealed an increase in life expectancy in Down syndrome (median [IQR], 1 [0.3-16] years in 1968 to 57 [49-61] years in 2019), but with clear ceiling effects in the highest percentiles of age at death in the last decades (90th percentile: 1990, age 63 years; 2019, age 65 years). The mortality data matched the limits projected by a distribution assuming fully penetrant Alzheimer disease in up to 80% of deaths (corresponding to the highest percentiles). This contrasts with dementia mentioned in 30% of death certificates but is in agreement with the mortality data in DABNI (78.9%). Important racial disparities persisted in 2019, being more pronounced in the lower percentiles (10th percentile: Black individuals, 1 year; White individuals, 30 years) than in the higher percentiles (90th percentile: Black individuals, 64 years; White individuals, 66 years).

          Conclusions and Relevance

          These findings suggest that the mortality data and the consistent age at onset were compatible with fully penetrant Alzheimer disease. Lifespan in persons with Down syndrome will not increase until disease-modifying treatments for Alzheimer disease are available.

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          Most cited references97

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          Quantifying heterogeneity in a meta-analysis.

          The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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            Clinical and Biomarker Changes in Dominantly Inherited Alzheimer's Disease

            The order and magnitude of pathologic processes in Alzheimer's disease are not well understood, partly because the disease develops over many years. Autosomal dominant Alzheimer's disease has a predictable age at onset and provides an opportunity to determine the sequence and magnitude of pathologic changes that culminate in symptomatic disease. In this prospective, longitudinal study, we analyzed data from 128 participants who underwent baseline clinical and cognitive assessments, brain imaging, and cerebrospinal fluid (CSF) and blood tests. We used the participant's age at baseline assessment and the parent's age at the onset of symptoms of Alzheimer's disease to calculate the estimated years from expected symptom onset (age of the participant minus parent's age at symptom onset). We conducted cross-sectional analyses of baseline data in relation to estimated years from expected symptom onset in order to determine the relative order and magnitude of pathophysiological changes. Concentrations of amyloid-beta (Aβ)(42) in the CSF appeared to decline 25 years before expected symptom onset. Aβ deposition, as measured by positron-emission tomography with the use of Pittsburgh compound B, was detected 15 years before expected symptom onset. Increased concentrations of tau protein in the CSF and an increase in brain atrophy were detected 15 years before expected symptom onset. Cerebral hypometabolism and impaired episodic memory were observed 10 years before expected symptom onset. Global cognitive impairment, as measured by the Mini-Mental State Examination and the Clinical Dementia Rating scale, was detected 5 years before expected symptom onset, and patients met diagnostic criteria for dementia at an average of 3 years after expected symptom onset. We found that autosomal dominant Alzheimer's disease was associated with a series of pathophysiological changes over decades in CSF biochemical markers of Alzheimer's disease, brain amyloid deposition, and brain metabolism as well as progressive cognitive impairment. Our results require confirmation with the use of longitudinal data and may not apply to patients with sporadic Alzheimer's disease. (Funded by the National Institute on Aging and others; DIAN ClinicalTrials.gov number, NCT00869817.).
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              Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria.

              In the past 8 years, both the International Working Group (IWG) and the US National Institute on Aging-Alzheimer's Association have contributed criteria for the diagnosis of Alzheimer's disease (AD) that better define clinical phenotypes and integrate biomarkers into the diagnostic process, covering the full staging of the disease. This Position Paper considers the strengths and limitations of the IWG research diagnostic criteria and proposes advances to improve the diagnostic framework. On the basis of these refinements, the diagnosis of AD can be simplified, requiring the presence of an appropriate clinical AD phenotype (typical or atypical) and a pathophysiological biomarker consistent with the presence of Alzheimer's pathology. We propose that downstream topographical biomarkers of the disease, such as volumetric MRI and fluorodeoxyglucose PET, might better serve in the measurement and monitoring of the course of disease. This paper also elaborates on the specific diagnostic criteria for atypical forms of AD, for mixed AD, and for the preclinical states of AD. Copyright © 2014 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                23 May 2022
                May 2022
                23 May 2022
                : 5
                : 5
                : e2212910
                Affiliations
                [1 ]Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
                [2 ]Center of Biomedical Investigation Network for Neurodegenerative Diseases, Madrid, Spain
                [3 ]National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
                [4 ]Departments of Pediatrics and Obstetrics and Gynecology, University of Florida College of Medicine, Gainesville, Florida
                [5 ]Department of Epidemiology, University of Florida College of Public Health and Health Professions and College of Medicine, Gainesville, Florida
                [6 ]Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau, Barcelona, Spain
                [7 ]Barcelona Down Medical Center, Fundació Catalana Síndrome de Down, Barcelona, Spain
                Author notes
                Article Information
                Accepted for Publication: March 29, 2022.
                Published: May 23, 2022. doi:10.1001/jamanetworkopen.2022.12910
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Iulita MF et al. JAMA Network Open.
                Corresponding Authors: Juan Fortea, MD, PhD ( jfortea@ 123456santpau.cat ) and Maria Florencia Iulita, PhD ( miulita@ 123456santpau.cat ), Memory Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain.
                Author Contributions : Drs Iulita and Fortea had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Drs Bejanin and Fortea share senior authorship.
                Concept and design: Iulita, Garzón Chavez, Blesa, Lleó, Bejanin, Fortea.
                Acquisition, analysis, or interpretation of data: Iulita, Garzón Chavez, Christensen, Valle Tamayo, Plana-Ripoll, Rasmussen, Roque Figuls, Alcolea, Videla, Barroeta, Benejam, Altuna, Padilla, Pegueroles, Fernandez, Belbin, Carmona-Iragui, Bejanin, Fortea.
                Drafting of the manuscript: Iulita, Garzón Chavez, Padilla, Bejanin, Fortea.
                Critical revision of the manuscript for important intellectual content: Iulita, Christensen, Valle Tamayo, Plana-Ripoll, Rasmussen, Roque Figuls, Alcolea, Videla, Barroeta, Benejam, Altuna, Pegueroles, Fernandez, Belbin, Carmona-Iragui, Blesa, Lleó, Bejanin, Fortea.
                Statistical analysis: Iulita, Garzón Chavez, Plana-Ripoll, Roque Figuls, Belbin, Bejanin, Fortea.
                Obtained funding: Alcolea, Carmona-Iragui, Blesa, Lleó, Fortea.
                Administrative, technical, or material support: Iulita, Garzón Chavez, Valle Tamayo, Videla, Barroeta, Altuna, Padilla, Fernandez, Carmona-Iragui, Fortea.
                Supervision: Iulita, Valle Tamayo, Barroeta, Blesa, Lleó, Fortea.
                Conflict of Interest Disclosures: Dr Alcolea reported receiving personal fees from Fujirebio-Europe, Roche Diagnostics, Nutricia, Krka Farmacéutica S.L, Zambón SAU, and Esteve Pharmaceuticals SA outside the submitted work. Dr Belbin reported receiving personal fees from ADx NeuroSciences outside the submitted work. Dr Lleó reported receiving grants from CIBERNED and the Instituto de Salud Carlos III and serving as a consultant or at advisory boards for Fujirebio-Europe, Roche, Biogen, and Nutricia outside the submitted work. Dr Fortea reported receiving personal fees from Novartis Consultancy, Lundbeck Consultancy, Esteve, Novonordisk, Roche, Biogen, and Zambon Consultancy outside the submitted work. Drs Alcolea, Belbin, LLeó, and Fortea reported holding a patent for markers of synaptopathy in neurodegenerative disease (licenced to ADx, EPI8382175.0). No other disclosures were reported.
                Funding/Support: The authors acknowledge financial support from the Fondo de Investigaciones Sanitario. Dr Carmona-Iragui was supported by grant PI18/00335 from Instituto de Salud Carlos III, grant GBHI_ALZ-18-543740 from the Global Brain Health Initiative and Alzheimer’s Association, grant Premi Beca Fundació SCN 2020 from the Fundació Societat Catalana de Neurologia, and grant 1913 Cycle 2019B from the Jérôme Lejeune Foundation. Dr Fortea was supported by grant PI20/01473 from the Instituto de Salud Carlos III and grants 1R01AG056850-01A1, R21AG056974, and R01AG061566 from the National Institutes of Health, grant 20141210 from Fundacío La Marató de TV3c, and grant SLT006/17/00119 from Generalitat de Catalunya. Dr Iulita was supported by grant Project 1941 from the Jérôme Lejeune Foundation and the Jérôme Lejeune Postdoctoral Fellowship. Ms Christensen was supported by a Niels Bohr Professorship to John McGrath from the Danish National Research Foundation. Dr Plana-Ripoll was supported by the Lundbeck Foundation Fellowship R345-2020-1588 and the Marie Sklodowska-Curie grant agreement 837180 from the European Union’s Horizon 2020 Research and Innovation. Dr Altuna was supported by the Río Hortega Fellowship CM19/00066 from the Carlos III Health Institute. Dr Padilla was supported by the Sara Borrell Postdoctoral Fellowship CP20/00133 from the Carlos III Health Institute. Dr Bejanin was supported by grant CP20/00038 from the Carlos III Health Institute in Spain.
                Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Disclaimer: The views expressed in the manuscript are those of the authors and not necessarily those of the funders.
                Additional Contributions : We thank Maria Lluïsa Antón Guerrero (Biblioteca Josep Laporte, Barcelona, Spain), for help with the development of the search strategy and search strings. We also thank Alberto Ferrari, PhD, and Armand González Escalante, MSc, for guidance on the statistical analyses and help in the assembling of the Figures.
                Article
                zoi220378
                10.1001/jamanetworkopen.2022.12910
                9127560
                35604690
                4d13833e-8da8-47ce-9c0a-dbdd0824a127
                Copyright 2022 Iulita MF et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 5 November 2021
                : 29 March 2022
                Categories
                Research
                Original Investigation
                Online Only
                Neurology

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