Aging in Autism Spectrum Disorder.

Most research on autism spectrum disorder (ASD) has focused on younger individuals, but there is increasing awareness that more must be known about the clinical needs and outcomes of older adults with ASD. This article reviews what is known about barriers to recognition in the elderly, the prevalence of ASD over the lifespan, outcomes in adulthood in comparison to the general population, co-occurring psychiatric diagnoses, and healthcare needs in this population.

Correlates of daily functioning in older adults with autism spectrum disorder.

Objectives: Studies of adults with autism spectrum disorder (ASD) have demonstrated poor outcomes related to independence and everyday living skills compared to the general population. In a sample of 74 adults with ASD who require a high level of support we sought to identify correlates of daily functioning.Methods: We administered questionnaires to residential staff and identified participants' independence level in basic and instrumental activities of daily living.Results: There was no association of age with daily functioning. Higher daily functioning was associated with a better general medical health rating. Functional independence was greater in participants with IQ range of 55 to 65 compared to those with IQ below 55. Language difficulties and behavioral disturbances were not significantly correlated with independence in daily living skills. In this sample, individual had held a median of three different types of jobs in supported employment.Conclusion: Daily functioning in adults with autism generally does not decline with age, but because this was cross-sectional data, this requires further confirmation. Community programs designed for adults with ASD who require a high level of support should focus on overall medical health and promotion of daily living skill building.

Trajectories of neuropsychiatric symptoms over time in healthy volunteers and risk of MCI and dementia.

OBJECTIVES: To identify subtypes of neuropsychiatric symptom (NPS) course among cognitively normal individuals and to assess the association between these subtypes and hazard of later mild cognitive impairment (MCI) or dementia diagnosis. METHODS: We modeled neuropsychiatric inventory questionnaire (NPI-Q) scores from 4184 volunteers over approximately 4 years using growth mixture models, generating latent classes of trajectory. We then fit Cox proportional hazard models to determine if membership in trajectory classes was associated with increased hazard of diagnosis of MCI or dementia. RESULTS: We identified four trajectory classes: the majority of the sample (65%) would be expected to belong to a class with consistently low or zero NPS. The next most prevalent class, (16%) showed a decrease over time in NPI-Q total score but, compared with the majority class had an almost threefold increase in hazard of MCI or dementia (HR: 2.92; 95% CI: 1.82-4.68). Another class (14%) showed an increase in NPS over time and was also associated with greater hazard of MCI or dementia (HR: 3.96; CI: 2.61-6.03). The smallest class (5%) had high and fluctuating NPI-Q total scores and had the greatest hazard (HR: 4.57; CI: 2.72-7.63). CONCLUSION: We have demonstrated that it is possible to identify meaningful groups of NPS trajectories and that trajectory of NPS can convey information beyond a single cross-sectional measure. While even those whose NPS improved were at increased hazard of MCI or dementia, hazard increased as a function of the severity of the NPS trajectory.

Racial/ethnic differences in neuropsychiatric disturbances associated with incident dementia.

INTRODUCTION: Neuropsychiatric symptoms (NPS) are nearly universal in dementia; some cross-sectional studies of NPS in dementia have found racial/ethnic differences, though it is unknown if NPS prevalence differs among racial/ethnic groups before and after dementia diagnosis. METHODS: Participants were followed annually at Alzheimer's Disease Centers and were assessed on the Neuropsychiatric Inventory-Questionnaire (NPI-Q) with at least one follow-up visit at which they were diagnosed with dementia. Descriptive statistics were generated by race/ethnicity. NPS were modeled over time as a function of race/ethnicity and with diagnosis date as the baseline. RESULTS: NPS were present in 95% in at least one time point. After adjusting for covariates, there were no statistically significant differences in NPI-Q total scores among racial/ethnic groups at the time of and after dementia diagnosis. DISCUSSION: Findings from our prospective cohort study suggest that when individuals are matched at the time of conversion to dementia, there are no racial/ethnic differences in NPS. Highlights: Neuropsychiatric symptoms of dementia are frequent and increase caregiver burden.Prior studies reported more neuropsychiatric symptoms (NPS) in Black compared to White individuals with dementia.National Alzheimer's Coordinating Center Black, White, and Hispanic participants did not differ in NPS at the time of dementia diagnosis.

Graphical methods for understanding changes in states: Understanding medication use pathways.

OBJECTIVES: As epidemiological studies become longer and larger, the field needs novel graphical methods to visualize complex longitudinal data. The aim of this study was to present the Slinkyplot, a longitudinal crosstabulation, to illustrate patterns of antidepressant use in a large prospective cohort of older adults with mild cognitive impairment. METHODS: Data from the National Alzheimer's Coordinating Center are used to track switches between different states and types of antidepressant use. A Slinkyplot is populated with rows representing the state of medication use at each timepoint and columns representing the state at each subsequent visit. RESULTS: The constructed Slinkyplots display the common practice of switching on and off different antidepressants over time, with citalopram, sertraline, and bupropion most commonly used followed by switching to another SSRI or SNRI as second-line treatment. CONCLUSIONS: Slinkyplots are an innovative graphical means of visualizing complex patterns of transitions between different states over time for large longitudinal studies.

Time course of neuropsychiatric symptoms and cognitive diagnosis in National Alzheimer's Coordinating Centers volunteers.

INTRODUCTION: Neuropsychiatric symptoms (NPSs) are nearly universal in cognitive disorders. The mild behavioral impairment construct postulates that NPS may be the first symptom of impending dementia. METHODS: Participants were cognitively normal volunteers followed up approximately annually at Alzheimer's Disease Centers, who were assessed on the Neuropsychiatric Inventory and had at least one follow-up visit during which they were diagnosed with mild cognitive impairment (MCI) or dementia. Descriptive statistics were used to determine sequencing of NPS presence with cognitive diagnoses. RESULTS: Data were available for 1998 participants who progressed to MCI or dementia. Over 59% developed NPS before the diagnosis of any cognitive disorder. Depression and irritability were the most common NPSs to precede cognitive diagnoses (24 and 21%, respectively). DISCUSSION: NPSs precede a cognitive diagnosis in most people who develop cognitive decline, both MCI and dementia. These individuals are an important group to focus clinical and research efforts.

A genomics-informed computational biology platform prospectively predicts treatment responses in AML and MDS patients.

Patients with myelodysplastic syndromes (MDS) or acute myeloid leukemia (AML) are generally older and have more comorbidities. Therefore, identifying personalized treatment options for each patient early and accurately is essential. To address this, we developed a computational biology modeling (CBM) and digital drug simulation platform that relies on somatic gene mutations and gene CNVs found in malignant cells of individual patients. Drug treatment simulations based on unique patient-specific disease networks were used to generate treatment predictions. To evaluate the accuracy of the genomics-informed computational platform, we conducted a pilot prospective clinical study (NCT02435550) enrolling confirmed MDS and AML patients. Blinded to the empirically prescribed treatment regimen for each patient, genomic data from 50 evaluable patients were analyzed by CBM to predict patient-specific treatment responses. CBM accurately predicted treatment responses in 55 of 61 (90%) simulations, with 33 of 61 true positives, 22 of 61 true negatives, 3 of 61 false positives, and 3 of 61 false negatives, resulting in a sensitivity of 94%, a specificity of 88%, and an accuracy of 90%. Laboratory validation further confirmed the accuracy of CBM-predicted activated protein networks in 17 of 19 (89%) samples from 11 patients. Somatic mutations in the TET2, IDH1/2, ASXL1, and EZH2 genes were discovered to be highly informative of MDS response to hypomethylating agents. In sum, analyses of patient cancer genomics using the CBM platform can be used to predict precision treatment responses in MDS and AML patients.

Aging and Autism Spectrum Disorder: A Naturalistic, Longitudinal Study of the Comorbidities and Behavioral and Neuropsychiatric Symptoms in Adults with ASD.

Little is known about Autism Spectrum Disorder (ASD) in persons over age 50. In a retrospective, naturalistic review of 74 individuals aged 30 and older meeting DSM-5 criteria for ASD, the point prevalence of behavioral and neuropsychiatric symptoms (BNPS) declined significantly for 12 of 13 BNPS over a mean of 25 years while many other features of ASD remained stable. GI disorders (68.9%) and seizure disorders (23%) were common, and 25.7% of the sample had a BMI >30. Females were more likely to engage in screaming (p < 0.05) and oppositional behavior (p < 0.05). Current age did not have a significant effect on BNPS prevalence.

An injectable capillary-like microstructured alginate hydrogel improves left ventricular function after myocardial infarction in rats.

BACKGROUND: A new post-myocardial infarction (MI) therapy is injection of high-water-content polymeric biomaterial gels (hydrogels) into damaged myocardium to modulate cardiac negative remodeling and preserve heart function. METHODS: We investigated the therapeutic potential of a novel gelatinized alginate hydrogel with a unique microstructure of uniform capillary-like channels (termed Capgel). Shortly (48h) after induced anterior MI, Sprague Dawley rats received intramyocardial injection of Capgel directly into the antero-septal wall at the infarct border zone (n=12) or no injection (n=10, controls). Echocardiograms were performed at 48h (week 0) and 4weeks (week 4) to evaluate left ventricular function. RESULTS: Echocardiograms showed 27% improvement of left ventricular systolic function over time with gel injection: fractional shortening increased from 26±3% at week 0 to 33±2% at week 4 (p=0.001). Capgel was present at the injection site after 4weeks, but was minimal at 8weeks. The remaining gel was heavily populated by CD68(+) macrophages with CD206(+) clusters and blood vessels. An in vitro experiment was performed to assess Angiotensin-(1-7) released from Capgel. Angiotensin-(1-7) was released from the Capgel in a sustained manner for 90days. CONCLUSIONS: Use of Capgel, a degradable, bioactive hydrogel composed of gelatinized capillary-alginate gel, appears safe for intramyocardial injection, is associated with improved left ventricular function after MI in rats, and may provide a long-term supply of Angiotensin-(1-7).