Prodromal Alzheimer's disease can affect activities of daily living for adults with Down syndrome.

INTRODUCTION: Alzheimer's disease (AD) affecting adults with Down syndrome (DS-AD), like late-onset AD (LOAD) in the neurotypical population, has preclinical, prodromal, and more advanced stages. Only tasks placing high demands on cognition are expected to be affected during the prodromal stage, with activities of daily living (ADLs) typically being spared. However, cognitive demands of ADLs could be high for adults with DS and may be affected during prodromal DS-AD. METHODS: Cognitively stable cases that subsequently developed prodromal DS-AD were identified within a set of archived data from a previous longitudinal study. Measures of ADLs and multiple cognitive domains were examined over time. RESULTS: Clear declines in ADLs accompanied cognitive declines with prodromal DS-AD while stability in all measures was verified during preclinical DS-AD. DISCUSSION: Operationally defining prodromal DS-AD is essential to disease staging in this high-risk population and for informing treatment options and timing as new disease-modifying drugs become available. Highlights: Cognitive and functional stability were demonstrated prior to the onset of prodromal DS-AD.ADL declines accompanied cognitive declines as adults with DS transitioned to prodromal AD.Declines in ADLs should be a defining feature of prodromal AD for adults with DS.Better characterization of prodromal DS-AD can improve AD diagnosis and disease staging.Improvements in DS-AD diagnosis and staging could also inform the timing of interventions.

Individualized estimated years from onset of Alzheimer's disease- related decline for adults with Down syndrome.

Introduction: Adults with Down syndrome (DS) are at increased risk for Alzheimer's disease (AD) and vary in their age of transition from AD preclinical to prodromal or more advanced clinical stages. An empirically based method is needed to determine individual "estimated years from symptom onset (EYO)," the same construct used in studies of autosomal dominant AD . Methods: Archived data from a previous study of > 600 adults with DS were examined using survival analysis methods. Age-specific prevalence of prodromal AD or dementia, cumulative risk, and EYOs were determined. Results: Individualized EYOs for adults with DS ranging in age from 30 to 70+ were determined, dependent upon chronological age and clinical status. Discussion: EYOs can be a useful tool for studies focused on biomarker changes during AD progression in this and other populations at risk, studies that should contribute to improved methods for diagnosis, prediction of risk, and identification of promising treatment targets. HIGHLIGHTS: Years from Alzheimer's disease (AD) onset (EYO) was estimated for adults with Down syndrome (DS).EYOs were informed by AD clinical status and age, ranging from 30 to > 70 years.Influences of biological sex and apolipoprotein E genotype on EYOs were examined.EYOs have advantages for predicting risk of AD-related dementia compared to age.EYOs can be extremely informative in studies of preclinical AD progression.

Promising outcome measures of early Alzheimer's dementia in adults with Down syndrome.

INTRODUCTION: Adults with Down syndrome (DS) are at high risk for developing Alzheimer's disease (AD) and its associated dementia, warranting the development of strategies to improve early detection when prevention is possible. METHODS: Using a broad battery of neuropsychological assessments, informant interviews, and clinical record review, we evaluated the psychometrics of measures in a large sample of 561 adults with DS. We tracked longitudinal stability or decline in functioning in a subsample of 269 participants over a period of 3 years, all initially without indications of clinically significant aging-related decline. RESULTS: Results identified an array of objective measures that demonstrated sensitivity in distinguishing individuals with incident "mild cognitive impairment" (MCI-DS) as well as subsequent declines occurring with incident dementia. DISCUSSION: Several instruments showed clear promise for use as outcome measures for future clinical trials and for informing diagnosis of individuals suspected of experiencing early signs and symptoms of a progressive dementia process.

Developing and Piloting a School-Based Online Adolescent Student-Athlete Concussion Surveillance System.

BACKGROUND: Despite increased awareness of concussions, epidemiologic surveillance efforts have been scarce, especially among adolescents. This project, which was developed with school stakeholders (certified athletic trainers [ATCs], nurses, athletic directors), piloted a public secondary school-based online surveillance tool for interscholastic and intramural sports and physical education-related concussions in New Jersey during 2014-2017 school years (SY). METHODS: Participating public high schools (5 within 4 districts) and career-technical-vocational education districts (2 with 5 campuses) completed forms anonymously online via PsychData within 5 days. RESULTS: There were 208 concussions reported, 115 in 2015-2016 SY and 93 in 2016-2017 SY. In fall 2015, 86 concussions were reported, including 16 from summer preseason. In fall 2016, 56 concussions were reported; 3 occurred during preseason. There were 7 concussions reported in winter 2016 and 16 in winter 2017. Twenty-two concussions were reported in spring of both 2016 and 2017. Most online forms were completed in <10 minutes, usually using either desktop computers or tablets/iPads. School nurses followed by ATCs were primary sources of data entered online, usually by ATCs. CONCLUSIONS: Cooperation of nurses and ATCs at participating schools suggested online surveillance was valued and viable. Data inform future concussion prevention education and ongoing injury surveillance.