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

Maria Florencia Iulita; Diana Garzón Chavez; Maria Klitgaard Christensen; Natalia Valle Tamayo; Oleguer Plana-Ripoll; Sonja A Rasmussen; Marta Roqué Figuls; Daniel Alcolea; Laura Videla; Isabel Barroeta; Bessy Benejam; Miren Altuna; Concepción Padilla; Jordi Pegueroles; Susana Fernandez; Olivia Belbin; María Carmona-Iragui; Rafael Blesa; Alberto Lleó; Alexandre Bejanin; Juan Fortea

doi:10.1001/jamanetworkopen.2022.12910

. 2022 May 23;5(5):e2212910. doi: 10.1001/jamanetworkopen.2022.12910

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

Maria Florencia Iulita ^1,^2,^✉, Diana Garzón Chavez ^1,², Maria Klitgaard Christensen ³, Natalia Valle Tamayo ^1,², Oleguer Plana-Ripoll ³, Sonja A Rasmussen ^4,⁵, Marta Roqué Figuls ⁶, Daniel Alcolea ^1,², Laura Videla ^1,^2,⁷, Isabel Barroeta ^1,², Bessy Benejam ^1,^2,⁷, Miren Altuna ^1,², Concepción Padilla ^1,², Jordi Pegueroles ^1,², Susana Fernandez ⁷, Olivia Belbin ^1,², María Carmona-Iragui ^1,^2,⁷, Rafael Blesa ^1,², Alberto Lleó ^1,², Alexandre Bejanin ^1,², Juan Fortea ^1,^2,^7,^✉

¹Sant 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

²Center of Biomedical Investigation Network for Neurodegenerative Diseases, Madrid, Spain

³National Centre for Register-based Research, Aarhus University, Aarhus, Denmark

⁴Departments of Pediatrics and Obstetrics and Gynecology, University of Florida College of Medicine, Gainesville, Florida

⁵Department of Epidemiology, University of Florida College of Public Health and Health Professions and College of Medicine, Gainesville, Florida

⁶Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau, Barcelona, Spain

⁷Barcelona Down Medical Center, Fundació Catalana Síndrome de Down, Barcelona, Spain

Accepted for Publication: March 29, 2022.

Published: May 23, 2022. doi:10.1001/jamanetworkopen.2022.12910

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Corresponding Authors: Juan Fortea, MD, PhD (jfortea@santpau.cat) and Maria Florencia Iulita, PhD (miulita@santpau.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.

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Corresponding author.

PMCID: PMC9127560 PMID: 35604690

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.

Introduction

Down syndrome is the most frequent genetic cause of intellectual disability due to the presence of all or part of a third copy of chromosome 21, which occurs approximately in 1:800 births. In Europe and the US, current estimates indicate a population prevalence of 5.6 and 6.7 per 10 000 individuals, respectively, which translates to more than 200 000 people in the US¹ and more than 400 000 people in Europe.²

Down syndrome is a complex condition with multiple associated comorbidities that vary throughout the lifespan.³ Improvements in health care, most notably surgery for congenital heart defects, have remarkably increased life expectancy, from approximately 5 years in the 1950s to roughly 60 years in the 2020s.^4,5 However, this still represents a survival difference of about 20 years when compared with the general population.

A consequence of this increased life expectancy has been the emergence of age-related diseases, most importantly Alzheimer disease, which has a risk of more than 90% by the seventh decade for people with Down syndrome.⁶ The strong association between Alzheimer disease and Down syndrome has a genetic basis through a gene-dose effect of the amyloid precursor protein (APP) gene located on chromosome 21, which is triplicated in this population. While the triplication of other genes on chromosome 21 can also contribute to amyloid aggregation,⁷ APP triplication is necessary and sufficient to cause dementia.⁸ Consequently, neuropathologic changes associated with Alzheimer disease, namely amyloid-β (Aß) plaques and neurofibrillary tangles composed of hyperphosphorylated tau, are universally seen in persons with Down syndrome by age 40 years,⁹ and biomarker changes follow a predictable course that is strikingly similar to that found in autosomal dominant Alzheimer disease.¹⁰ The latter represents genetic cases, which are caused by fully penetrant mutations in the APP, Presenilin 1 (PSEN1), or Presenilin 2 (PSEN2) genes, leading to early-onset dementia at a predictable age, typically between age 30 and 60 years, depending on the mutation.

Because of these similarities, Down syndrome has been conceptualized as genetically determined Alzheimer disease, just like the autosomal dominant forms.^11,12 However, the implications of this conceptualization on the predictability of symptom onset in Down syndrome and the limit Alzheimer disease imposes on life expectancy, have not been fully explored. Indeed, many have emphasized the variability in age at onset of dementia in Down syndrome,^{13,14,15,16,17,18,19} in sharp contrast with the recognized predictability of symptom onset in autosomal dominant forms.²⁰ As such, constructs like the estimated years to symptom onset (EYO), which have been developed and applied with success to study the natural history of Alzheimer disease in autosomal dominant forms,²¹ have been less used in Down syndrome and remain controversial. This view represents an important setback for the inclusion of adults with Down syndrome in preventive trials, and for the development of appropriate care guidelines for patients and families.

For these purposes, we conducted a meta-analysis to determine the age at onset, age at death, and duration of Alzheimer disease dementia in adults with Down syndrome and compared the variability in disease onset with that reported in autosomal dominant Alzheimer disease. Based on these estimates, we constructed a hypothetical distribution of age at death in people with Down syndrome, under the assumption that Alzheimer disease had full penetrance and was lethal. We compared these results with mortality data from people with Down syndrome obtained from US death certificates in the past 50 years. We also investigated the underreporting of dementia in death certificates by imputing data based on the hypothetical distribution and the US Centers for Disease Control and Prevention (CDC) data and collecting mortality data from the Down Alzheimer Barcelona Neuroimaging Initiative (DABNI) clinical cohort.¹⁰

Methods

Systematic Review and Meta-analysis

This meta-analysis adhered to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. The review protocol and search strategy were registered in the International Prospective Register of Systematic Reviews (CRD42020203967). We conducted a systematic search to examine the age at onset, age at death, and duration of Alzheimer disease dementia among persons with Down syndrome using the following databases: PubMed/Medline, Embase, Web of Science, and CINAHL (eTable 1 in the Supplement). OpenGray was used for gray literature. Further details can be found in the eMethods in the Supplement.

Eligibility Criteria and Data Extraction

Studies were considered if they contained numerical results of the following outcomes among persons with Down syndrome: (1) age at onset or age at diagnosis of Alzheimer disease dementia, defined via sufficiently explained methodological criteria and based on expert clinical judgment or dementia criteria; (2) age at death in those with Alzheimer disease; or (3) disease duration (defined as the time from dementia onset/diagnosis to death). We imported records into the Covidence software version 2640 to assist the screening process. Two independent reviewers (MFI and DGC) screened all titles and abstracts to identify studies for full-text review. The risk of bias was assessed using a quality assessment tool (eTable 2 in the Supplement) adapted from the scale of McGrath et al.²² Further details are included in the eMethods in the Supplement.

Data Synthesis and Analysis

Pooled estimates with corresponding 95% CIs were calculated using random-effects meta-analysis with the DerSimonian–Laird method.²³ Analyses were done in Stata version 15.1 using the metan package version 3.03 (StataCorp). Heterogeneity was assessed with the I² index.²⁴ Further details on the subgroup analyses are in eMethods in the Supplement.

To compare the variability in age at onset of Alzheimer disease in Down syndrome with that of autosomal dominant forms, we used 2 approaches: (1) computing the coefficients of variation of age at onset for each study individually (SD/mean × 100), and (2) calculating the time interval during which 95% of the individuals will develop cognitive symptoms (prediction intervals [95% PI], calculated as mean ± 1.96 × SD). For Down syndrome, these values were calculated from our systematic review of 44 studies on Alzheimer disease dementia. For autosomal dominant Alzheimer disease, these values were calculated from 60 studies (with n ≥ 5) with data on age at symptom onset available in a previously published study.²⁰ Data collection took place from August 2020 to February 2021, and data analysis took place from February 2021 to July 2021.

Mortality Analyses

Hypothetical Death Distribution Assuming Full Penetrance of Alzheimer Disease

Data analysis was performed in R version 4.0.4 (R Project for Statistical Computing). We used pooled data from the systematic review calculated with a fixed-effect model²⁵ to describe a hypothetical normal distribution of mortality in Down syndrome, assuming fully penetrant Alzheimer disease. The hypothetical death distribution was obtained from the sum of 2 independent distributions (age at onset and duration) as follows: mean_death = mean_onset + mean_duration and SD_death = sqrt (SD_onset² + SD_duration²). We also examined the distribution using the estimate of age at death in those with Alzheimer disease.

US Mortality Data

We contrasted data obtained from the hypothetical death distribution with data obtained from Multiple-Cause Mortality Files from 1968 to 2019, compiled by the CDC. We used the following International Classification of Diseases (ICD) codes to select records from people with Down syndrome: 759.3 (ICD, Eighth Revision: 1968-1997), 758.0 (ICD, Ninth Revision: 1979-1998), and Q90 ICD, Tenth Revision: 1999-2019). Further details are in eMethods in the Supplement. We calculated the median age at death and the 10th, 25th, 75th, and 90th percentiles by year.

We next examined the trend in the reporting of congenital heart disease and dementia in people with Down syndrome between 1968 to 2019 (eTable 3 in the Supplement). Given that dementia is typically underreported on death certificates,^26,27 we performed an exploratory analysis to compare the real age at death (CDC data) with the estimated ages at death in the fully penetrant hypothetical distribution by calculating the difference between the 2 for each percentile. Whenever the difference was close to 0, we assumed that Alzheimer disease could be the contributor. When this difference was larger, we attributed it to other causes of death. We plotted this difference for each percentile, and we visually assessed the graph and mathematically tested if there was an inflection point by implementing threshold regressions using the R library “chngpt”.

Mortality Data From the DABNI Cohort

We collected mortality data from DABNI, a single-center prospective cohort that is part of a public health plan developed for the screening of Alzheimer disease in adults with Down syndrome in Catalonia, Spain, through clinical and multimodal biomarker assessments.¹⁰ The sample is representative of the adult population aged 18 years or older with Down syndrome in Catalonia, Spain. All participants or their legal representatives were required to give informed consent. The Clinical Research Ethics Committee at Hospital Sant Pau reviewed and approved all DABNI protocols. Between February 1, 2013, and July 31, 2021, we evaluated 889 individuals with Down syndrome (46% females), with a mean follow-up of 3.2 (2.1) years. Details about the Alzheimer diagnostic procedures are in eMethods in the Supplement.

Results

Systematic Review and Meta-analysis

We identified 7004 studies for title and abstract screening after the removal of duplicates (eFigure 1 in the Supplement). Of these, 261 underwent full-text review, and 52 (20%) met the inclusion criteria. Outcomes of interest were extracted from studies from 8 different countries. No time restriction was imposed in the search, and eligible studies were published between 1985 and 2020. A description of included studies is available in eMethods and eTable 4 in the Supplement, and the studies are cited in the reference list.^{6,10,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77}

The age at onset of Alzheimer disease dementia in Down syndrome was highly conserved, with a pooled estimate of 53.8 (95% CI, 53.1-54.5) years (n = 2695) (Figure 1). For age at death and disease duration, the pooled estimates were 58.4 (95% CI, 57.2-59.7) (n = 324) and 4.6 (95% CI, 3.7-5.5) years (n = 226), respectively (Figure 2). Although there was considerable statistical heterogeneity in the meta-analysis (I² = 60%-87%), there was, nevertheless, high consistency in the mean values of the three outcomes across studies. eFigures 3, 4, 5, 6, and 7 in the Supplement show the subanalysis of age at onset by sex, APOE genotype, data source, geographic location and sample size. For the 3 outcomes of interest, most studies were ranked at low risk of bias (eTables 5, 6, and 7 in the Supplement) and age at onset did not vary significantly by study quality (eFigure 2 in the Supplement).

Figure 2. — The forest plot shows (A) the mean age at death across 9 eligible studies (N = 324) and (B) the mean disease duration across 7 eligible studies from the systematic review (N = 226 individuals) for Alzheimer disease dementia in adults with Down syndrome. The points indicate the mean, the arms indicate the 95% CI, the light blue diamond represents the overall pooled estimate (calculated with the DerSimonian-Laird method), and its width represents the confidence interval. The dotted line indicates the pooled estimates for age at death (58.4 years) and duration (4.6 years). The minimal sample size for a study to be eligible was 5 or more participants. Weights were calculated using random-effects analysis.

Variability in the Onset of Alzheimer Disease

Despite differences in sample size, cohort characteristics, and methods, the variability in age at symptom onset between Down syndrome and autosomal dominant Alzheimer disease was comparable both when considering the coefficients of variation and 95% PIs (Figure 3 and eFigure 8 in the Supplement). The interval in which 95% of individuals could develop Alzheimer disease symptoms highly overlapped, spanning the median (IQR) 95% PI range of 24.9 (21.5-28.3) years in Down syndrome and 20.5 (15-29.4) years in autosomal dominant Alzheimer disease (panel B of Figure 3). Panel C of Figure 3 shows the similarities in 95% PI range of age at onset between Down syndrome (largest individual cohort study) and the largest cohorts for each pathogenic variant. Age at onset spanned 36 years in families with the 3.4Mb APP duplication, 34 years in the APP V717I variant, 32 years in Down syndrome, 33 years in the E280A PSEN1 variant, and 29 years in the PSEN2 N141I variant. Of note, sample size influenced the variability observed in autosomal dominant Alzheimer disease but not in Down syndrome (eFigure 9 in the Supplement).

Figure 3. — Panel A shows the natural logarithm of coefficients of variation (LnCV, SD / mean × 100) of the 44 studies on age at onset of Alzheimer disease dementia in adults with Down syndrome (DSAD) included in the systematic review and the LnCV of 60 studies on symptom onset in autosomal dominant Alzheimer disease.²⁰ Panel B shows the span of age at onset. The span of age at onset was calculated by computing the 95% prediction interval (PI) range of the same studies included in panel A, by subtracting the lower 95% PI to the upper 95% PI. A larger PI range indicates a wider interval (in years) in which 95% of individuals will develop symptoms. Dots indicate a single study, the size of the dot indicates the sample size, whiskers indicate the 25th and 75th percentiles, and the bold line in the boxes indicate the median. Panel C shows the 95% prediction intervals (PI) for the largest individual cohort studies. For DSAD, the data is from the study of Tsiouris et al.⁷¹ For ADAD, individual pathogenic variants are indicated in the Figure. ADAD indicates autosomal dominant Alzheimer disease.

^aOnset refers to the onset of dementia in DSAD and to the onset of progressive cognitive symptoms in ADAD, as determined by clinicians.

Mortality Analyses

A Hypothetical Distribution of Age at Death Assuming Fully Penetrant Alzheimer Disease

Using a combined mean (SD) estimate of age at onset of 54.4 (7.1) years and disease duration of 5.1 (3.1) years calculated from the systematic review, we constructed a hypothetical distribution of age at death in Down syndrome assuming Alzheimer disease had 100% penetrance and was lethal. The estimated 10th, 25th, 50th, 75th, and 90th percentiles in this distribution were 49.6 years, 54.3 years, 59.5 years, 64.7 years, and 69.4 years, respectively (Figure 4). The percentiles were very similar when calculated from the estimate of age at death, corresponding to 50.7 years, 54.6 years, 59 years, 63.4 years, and 67.4 years, respectively (eFigure 10 in the Supplement).

We then contrasted these results with data obtained from US death certificates from 1968 to 2019. We identified 77 347 case records with the respective ICD codes for Down syndrome (37 900 females [49%]). We found a remarkable increase in the median age at death of people with Down syndrome in the past 50 years, from 1 year in 1968 to 57 years in 2019 (Figure 4; eFigure 11 in the Supplement). However, we also observed a ceiling effect in the last 2 decades in the higher percentiles, suggesting a limit on life expectancy.

Importantly, these percentiles were in close agreement with our fully penetrant model (Figure 4; eFigure 10 in the Supplement), suggesting that Alzheimer disease is a likely cause for this limit in survival in adults with Down syndrome. We also found racial disparities but no clear sex differences (Figure 4). Age at death was consistently lower for Black individuals, except for the higher percentiles in the 2010s.

Contributing Causes of Death in Down Syndrome

Deaths related to congenital heart disease and dementia were frequent contributing causes of death in Down syndrome in the period 1968 to 2019. Deaths related to congenital heart disease decreased in the last 50 years, while those related to dementia increased up to 30% in 2019 (Figure 5).

Figure 5. — Panel A shows the US Centers for Disease Control and Prevention (CDC) mortality data by cause of death. Results are expressed as the percentage based on the total number of deaths recorded each year. Panel B shows the concordance between the CDC mortality data and the age at death from Alzheimer disease (AD) calculated from the hypothetical death distribution. The black dashed lines indicate the estimate, and the black dotted lines indicate the CI for the inflection point estimated using threshold regressions. Panel C shows the proportion of deaths with a diagnosis of dementia obtained from death certificates at the CDC, from the difference between the estimated and observed age at death (imputed), and from the Down Alzheimer Barcelona Neuroimaging Initiative (DABNI) cohort.

To approximate the percentage of deaths potentially linked to Alzheimer disease, we performed 2 analyses. First, we calculated the difference between the hypothetical mortality distribution and the observed ages at death. Whenever the difference was close to 0, we assumed that Alzheimer disease could be the contributor. A larger difference would likely indicate other causes of death. Figure 5 shows the difference between the hypothetical and CDC data for the year 2019 (and eFigure 12 in the Supplement for 1968 to 2019). We can see that the difference between these estimates is larger until approximately the 20th percentile and minimal after. We found a significant inflection point at percentile 18 (95% CI, 17-21), suggesting that up to 80% of deaths in Down syndrome might have Alzheimer disease as a contributing factor.

In addition to the imputed data, we calculated the proportion of deaths with dementia in the DABNI cohort. A total of 889 individuals were included in the final sample, with a mean (SD) age at baseline of 42.4 (11.5) years. Of these, 90 (54 males, 36 females) died during the study period: 71 died with a diagnosis of Alzheimer dementia, 5 with a diagnosis of prodromal Alzheimer disease and 14 were asymptomatic. Therefore, 71 (78.9%) of participants in the DABNI cohort had dementia when they died, in close agreement with the imputed data and in striking contrast with that reported in death certificates. Likewise, there was agreement between the median (IQR) age at death of those with dementia in the DABNI cohort, which was 58.7 (53.5-63.0) years, the estimate of age at death derived from the meta-analysis (58.4 [95% CI, 57.2-59.7] years) and the CDC mortality data (median [IQR] age, 57 [49-61] years). The other percentiles in DABNI (10th, 25th, 75th, 90th) were also congruent with the hypothetical death distribution and the CDC data, and corresponded to 48.3, 53.5, 63.0, and 64.5 years, respectively.

Discussion

This study suggests that the onset of Alzheimer disease in Down syndrome is as variable as in the autosomal dominant forms. Our findings also suggest that most people with Down syndrome now live up to the limit imposed by Alzheimer disease, suggesting near full penetrance of this disease. Therefore, the lifespan of people with Down syndrome, which is stil approximately 20 years lower than the general population, will not increase further until treatments against Alzheimer disease are available. These findings have considerable implications for public health, policymaking, and counseling to families.

Notably, the common assumption has been that the age at onset of dementia in Down syndrome is highly variable,^{13,14,15,16,17,18,19} in contrast with the autosomal dominant forms, in which age at onset is considered relatively constant within each pedigree.²⁰ This view likely stems from the emphasis given to the wide range of disease onset in Down syndrome (ie, 95% PIs) as opposed to the predictability of disease onset ascribed to autosomal dominant forms (ie, 95% CIs). Indeed, given that the diagnosis of symptomatic Alzheimer disease is challenging in Down syndrome, we expected a larger variability in disease onset compared with autosomal dominant Alzheimer disease. However, our analysis revealed that age at onset was consistent across studies, with a similar variability as in the autosomal dominant forms. Importantly, the estimate of age at onset and the variability range was similar to that described in families with APP duplications (52.2; 95% CI, 49.9-54.4).²⁰ This agrees with the concept that dementia in Down syndrome is primarily driven by the extra copy of the APP gene, which is both sufficient and necessary to cause Alzheimer disease pathology and symptoms.^8,12

While age at onset and its range were consistent across studies, this variability was quite large (25 years). Therefore, it is critical to understand the causes of this variability and to study what modifiable and non-modifiable factors may influence it. For instance, the APOE ɛ4 haplotype is associated with a 2-year earlier onset of symptomatic Alzheimer disease in Down syndrome.⁷⁸ Further studies should assess the impact of other medical conditions associated with Down syndrome (eg, hypothyroidism, autoimmune disorders, periodontal disease, sleep apnea, epilepsy, vision and hearing problems) as well as the contribution of sociodemographic factors, such as residential status (living with family vs institutionalization), intellectual disability, and economic status of the caregivers.^68,79

The main finding of this study is the observation that the real-world mortality data fitted with a distribution of age at death assuming fully penetrant Alzheimer disease. Treating modifiable conditions has dramatically increased life expectancy in Down syndrome in the past decades; however, Alzheimer disease is lethal and has no cure, and therefore imposes a limit on survival for most adults with Down syndrome. In other words, our study may provide an explanation for the gap in life expectancy between Down syndrome and the general population, and the approximately 15-year stagnation of age at death. Our study further expands these results by suggesting that, although Alzheimer disease diminished the differences in life expectancy between Black individuals and White individuals in the higher percentiles, disparities still persist in lower percentiles. As previously suggested, these differences likely reflect avoidable deaths via better access to specialized health services (eg, pediatric cardiology).⁸⁰

The importance of Alzheimer disease as a leading cause of death in Down syndrome is increasingly recognized and is reported in more than 30% of US death certificates in 2019. However, this is likely an underestimate, given that Alzheimer disease is typically underreported in death certificates in the general population. To attempt to quantify this underreporting, we conducted 2 analyses. First, we imputed data between our hypothetical death distribution and the CDC data, which suggested that Alzheimer disease could contribute to death in up to 80% of individuals with Down syndrome. Second, we analyzed mortality data from the DABNI cohort, which revealed that 78.9% of all deaths occurred in those with dementia. Of note, this is consistent with a prior longitudinal cohort study reporting that Alzheimer disease was the proximate cause of death in 70% of adults with Down syndrome.⁴¹ Altogether, these data reinforce the idea that dementia-related deaths are largely underreported in death certificates of people with Down sydrome.^26,27

Notwithstanding the importance of other medical comorbidities, which can greatly affect the quality of life of people with Down syndrome, our findings emphasize a strong association between Alzheimer disease and mortality, which could explain the more than 20-year difference in life expectancy compared with the general population. Furthermore, our study underscores that Alzheimer disease has the same variability in age at onset in Down syndrome and autosomal dominant pedigrees. This demonstrates that Down syndrome is also an optimal population to study the natural history of Alzheimer disease.^10,81 Likewise, the predictability in age at onset (and biomarker changes)¹⁰ seen in Down syndrome, similar to that seen in autosomal dominant forms, support the use of EYO when comparing clinical and biomarker changes in both genetic forms of dementia and can facilitate the enrolment of persons with presymptomatic disease into clinical trials.¹² Many efforts are already in place, including the development of large population cohorts gathering clinical and biomarker data on Alzheimer disease,^10,12,13 and also the launching of trial-ready cohorts across the US and several international sites.

Limitations

This study had limitations. We performed a systematic search and meta-analysis with strict criteria to ensure rigor and excellent methodological quality; however, diagnostic criteria used for dementia diagnosis varied across studies, and samples sizes were often small. Data were predominantly from European and US data sources, and the number of studies that included data on disease duration and age at death was small. Regarding the CDC mortality data, these were extracted from death certificates, which have inherent limitations, such as incomplete reporting, particularly of co-occurring conditions contributing to death. We overcame this limitation by also analyzing mortality data from a prospective clinical cohort (ie, DABNI) designed to study the natural history of Alzheimer disease in Down syndrome. As most participants in the DABNI cohort are of Caucasian ethnicity, we could not perform segregated analyses to match those presented with the CDC data.

Conclusions

These findings suggests that Alzheimer disease should be recognized as a critical medical priority in people with Down syndrome. The mortality data suggest that Down syndrome is compatible with fully penetrant Alzheimer disease. Therefore, increasing life expectancy and closing the gap with the general population will require effective prevention and management for Alzheimer disease.

Supplement.

eAppendix. Methods and Results

eTable 1. Pubmed Search Strategy and Hits Retrieved

eTable 2. Quality and Rigor Assessment of Included Studies

eTable 3. Extraction of Death Certificate Data of Down Syndrome From CDC Records

eTable 4. Summary Characteristics of Eligible Studies

eTable 5. Extracted Data From 44 Studies on Age at Onset of Alzheimer Disease

eTable 6. Extracted Data From 9 Studies on Age at Death of Alzheimer Disease

eTable 7. Extracted Data From 7 Studies on Duration of Alzheimer Disease

eFigure 1. PRISMA Flow Diagram

eFigure 2. Association of Risk of Bias and Age at Onset Estimate

eFigure 3. Association of Biological Sex and Age at Onset Estimate

eFigure 4. Association of APOE Genotype and Age at Onset Estimate

eFigure 5. Association of Data Source and Age at Onset Estimate

eFigure 6. Association of Geographic Location and Age at Onset Estimate

eFigure 7. Association of Sample Size With Age at Onset Estimate

eFigure 8. Variability in Age at Onset

eFigure 9. Effect of Sample Size on Variability Estimates

eFigure 10. Concordance Between Estimated and Real Distribution of Age at Death

eFigure 11. Distribution of Age at Death in Persons With Down Syndrome in the USA

eFigure 12. Difference Between the Estimated and Observed Age at Death of People With Down Syndrome in the USA Between 1968-2018

eReferences.

Click here for additional data file.^{(6.4MB, pdf)}

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement.

eAppendix. Methods and Results

eTable 1. Pubmed Search Strategy and Hits Retrieved

eTable 2. Quality and Rigor Assessment of Included Studies

eTable 3. Extraction of Death Certificate Data of Down Syndrome From CDC Records

eTable 4. Summary Characteristics of Eligible Studies

eTable 5. Extracted Data From 44 Studies on Age at Onset of Alzheimer Disease

eTable 6. Extracted Data From 9 Studies on Age at Death of Alzheimer Disease

eTable 7. Extracted Data From 7 Studies on Duration of Alzheimer Disease

eFigure 1. PRISMA Flow Diagram

eFigure 2. Association of Risk of Bias and Age at Onset Estimate

eFigure 3. Association of Biological Sex and Age at Onset Estimate

eFigure 4. Association of APOE Genotype and Age at Onset Estimate

eFigure 5. Association of Data Source and Age at Onset Estimate

eFigure 6. Association of Geographic Location and Age at Onset Estimate

eFigure 7. Association of Sample Size With Age at Onset Estimate

eFigure 8. Variability in Age at Onset

eFigure 9. Effect of Sample Size on Variability Estimates

eFigure 10. Concordance Between Estimated and Real Distribution of Age at Death

eFigure 11. Distribution of Age at Death in Persons With Down Syndrome in the USA

eFigure 12. Difference Between the Estimated and Observed Age at Death of People With Down Syndrome in the USA Between 1968-2018

eReferences.

Click here for additional data file.^{(6.4MB, pdf)}

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PERMALINK

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

Maria Florencia Iulita, PhD

Diana Garzón Chavez, RN

Maria Klitgaard Christensen, PhD

Natalia Valle Tamayo, MSc

Oleguer Plana-Ripoll, PhD

Sonja A Rasmussen, MD

Marta Roqué Figuls, PhD

Daniel Alcolea, MD

Laura Videla, MSc

Isabel Barroeta, MD

Bessy Benejam, MSc

Miren Altuna, MD

Concepción Padilla, PhD

Jordi Pegueroles, MSc

Susana Fernandez, MD

Olivia Belbin, PhD

María Carmona-Iragui, MD

Rafael Blesa, MD

Alberto Lleó, MD

Alexandre Bejanin, PhD

Juan Fortea, MD

Key Points

Question

Findings

Meaning

Abstract

Importance

Objective

Design, Setting, and Participants

Main Outcomes and Measures

Results

Conclusions and Relevance

Introduction

Methods

Systematic Review and Meta-analysis

Eligibility Criteria and Data Extraction

Data Synthesis and Analysis

Mortality Analyses

Hypothetical Death Distribution Assuming Full Penetrance of Alzheimer Disease

US Mortality Data

Mortality Data From the DABNI Cohort

Results

Systematic Review and Meta-analysis

Figure 1. Forest Plot of Mean Age at Onset of Alzheimer Disease Dementia in Adults With Down Syndrome.

Figure 2. Forest Plot of Mean Age at Death and Mean Duration of Alzheimer Disease Dementia in Adults With Down Syndrome.

Variability in the Onset of Alzheimer Disease

Figure 3. Variability in Age at Onset.

Mortality Analyses

A Hypothetical Distribution of Age at Death Assuming Fully Penetrant Alzheimer Disease

Figure 4. Association of Alzheimer Disease With Life Expectancy in People With Down Syndrome.

Contributing Causes of Death in Down Syndrome

Figure 5. Reporting of Congenital Heart Defects and Dementia in Death Certificates.

Discussion

Limitations

Conclusions

References

Associated Data

Supplementary Materials

ACTIONS

PERMALINK

RESOURCES

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