Gait performance can provide valuable insights into cognitive functioning in older adult and may be used to screen for cognitive impairment. However, the optimal test condition and spatiotemporal parameter for accuracy have not yet been determined. This study aims to determine the gait measure with the highest accuracy identifying cognitive decline.
A total of 711 participants were recruited, including 332 cognitively healthy individuals, 264 with mild cognitive impairment (MCI), and 115 with dementia, with a mean age of 72 years (interquartile range 69–76), and 43% (n = 307) of women. The participants underwent gait assessment in three different conditions, including a single task and dual tasks of counting backward by ones and naming animals.
Gait performance was deteriorated as cognitive impairment progressed. The gait test performed during naming animals condition was the most accurate in differentiating between cognitive groups. Specifically, the naming animals gait speed was more accurate in discriminating control participants from those with cognitive impairment (area under the curve [AUC] = 76.9% for MCI and 99.7% for people with dementia with control group as reference). The coefficient of stride length variability while naming animals was the most effective parameter in discriminating between MCI and dementia groups (AUC = 96.7%).
The naming animals dual-task gait test can be a valuable assessment for screening cognitive impairment in older adults, regardless of their cognitive abilities. The test is useful in clinical settings for subjects with a range of cognitive profiles.
Unmet need for home and community-based services (HCBS) may disparately impact older adults from racial and ethnic minoritized groups. We examined racial and ethnic differences in unmet need for HCBS among consumers ≥65 years using publicly funded HCBS.
We analyzed the National Core Indicators-Aging and Disability survey data (2015–2019) from 21,739 community-dwelling HCBS consumers aged ≥65 years in 23 participating states. Outcome measures included self-reported unmet need in six service types (i.e., personal care, homemaker/chore, delivered meals, adult day services, transportation, and caregiver support). Racial and ethnic groups included non-Hispanic Black, Asian, non-Hispanic White, Hispanic, and multiracial groups. Logistic regression models examined associations between race and ethnicity and unmet need, adjusting for sociodemographic, health, and HCBS program (i.e., Medicaid, Older Americans Act [OAA], Program for All-Inclusive Care for the Elderly [PACE]) characteristics, and use of specific service types.
Among 21,739 respondents, 23.3% were Black, 3.4% were Asian, 10.8% were Hispanic, 58.8% were non-Hispanic White, and 3.7% were multiracial or identified with other races/ethnicities. Asian and Black consumers had higher odds of reporting unmet need in personal care than White consumers (adjusted odds ratio [aOR], 1.45, p value < 0.01; and aOR, 1.25, p < 0.001, respectively). Asian and Black consumers had significantly higher odds of unmet need in adult day services versus White consumers (aOR, 1.94, p < 0.001 and aOR, 1.39, p < 0.001, respectively). Black consumers had higher odds of unmet need versus non-Hispanic White consumers in meal delivery and caregiver support services (aOR, 1.29; p < 0.01; and aOR 1.26, p < 0.05, respectively). Race and ethnicity were not significantly associated with experiencing unmet need for homemaker/chore or transportation services.
Future research should identify driving forces in disparities in unmet need to develop culturally appropriate solutions.
Pneumonia accounts for over half a million older adult emergency department (ED) visits annually, but ED pneumonia diagnosis is inaccurate. Geriatric-specific pneumonia diagnostic criteria exist for other settings; no prospective data exist to determine if application in the older adult ED population is feasible. The objective was to prospectively evaluate the utility of four current diagnostic criteria (Loeb; Modified McGeer; Infectious Disease Society of America/American Thoracic Society; American College of Emergency Physicians) in older adult ED patients.
This was a prospective, observational cohort study of older adult ED patients ≥65 years of age in two U.S. EDs with suspected pneumonia defined as having chest radiography ordered and treating physician suspicion. The standard we used for defining the presence, absence, or inability to determine a diagnosis of pneumonia diagnosis was expert physician chart adjudication. We report the summary statistics for demographic characteristics and symptoms/exam findings and sensitivity, specificity, and likelihood ratios with 95% confidence intervals of the existing diagnostic criteria. Pre-specified cutoff values of a positive LR >10 and a negative LR <0.3 were considered clinically significant.
Of 135 patients enrolled, 27 had pneumonia by adjudicator review. Typical patient-reported pneumonia symptoms, such as fever (18.5%) and new/worse cough (51.9%), were not consistently present in pneumonia. The IDSA/ATS and ACEP criteria had positive LR >10 and negative LR <0.3; however, all confidence intervals included pre-specified cutoffs.
Older adults presented to the ED with low frequency of typical pneumonia symptoms. Although existing diagnostic definitions had promising test characteristics, they may not perform well enough for clinical application without refinement.
There are likely many contributors to variation in the rate of cognitive decline in middle and late adulthood, including individual and neighborhood socio-economic factors. This study examines whether individual socio-economic factors, namely income and wealth, correlate with cognitive decline, in part, through neighborhood-level social and material disadvantage.
Using the three waves of data collection from the Canadian Longitudinal Study on Aging (CLSA), this study included 51,338 participants between the age of 45 and 85 years at baseline (51% female). Individual socio-economic status (SES) was assessed by annual household income and by the current value of savings and investments. Neighborhood disadvantage was measured by area-based material and social deprivation indices. Cognition was measured at each wave using verbal fluency, mental alternations, and delayed word recall. Latent change score models, incorporating direct and indirect pathways, were constructed to estimate the indirect effect of individual SES on cognitive change through area-level disadvantage. Multi-group models were constructed on the basis of age-group (45–64 years; 65–74 years; or 75+ years) to allow for varying estimates across age.
Among 45–64-year-olds, income and wealth had indirect effects on initial cognitive level and on rate of cognitive decline through material disadvantage (standardized indirect effects = 0.01, p < 0.001), but only wealth had an indirect effect through social disadvantage (p = 0.019). Among 65-74-year-olds, income and wealth had indirect effects on initial cognitive level (p < 0.01) but not on rate of cognitive decline (p > 0.05), and among 75+ year-olds, no indirect effects were observed (p > 0.05). Wealth and income had direct effects, independent of neighborhood disadvantage, on cognition in all age groups (p < 0.05).
Among middle-aged adults, greater individual SES may mitigate cognitive decline, in part, by allowing individuals to live in more materially and socially advantaged neighborhoods.
Palliative care improves the quality of life for people with life-limiting conditions, which are common among older adults. Despite the Veterans Health Administration (VA) outpatient palliative care expansion, most research has focused on inpatient palliative care. This study aimed to compare veteran characteristics and hospice use for palliative care users across care settings (inpatient vs. outpatient) and dose (number of palliative care encounters).
This national cohort included veterans with any VA palliative care encounters from 2014 through 2017. We used VA and Medicare administrative data (2010–2017) to describe veteran demographics, socioeconomic status, life-limiting conditions, frailty, and palliative care utilization. Specialty palliative care encounters were identified using clinic stop codes (353, 351) and current procedural terminology codes (99241–99245).
Of 120,249 unique veterans with specialty palliative care over 4 years, 67.8% had palliative care only in the inpatient setting (n = 81,523) and 32.2% had at least one palliative care encounter in the outpatient setting (n = 38,726), with or without an inpatient palliative care encounter. Outpatient versus inpatient palliative care users were more likely to have cancer and less likely to have high frailty, but sociodemographic factors including rurality and housing instability were similar. Duration of hospice use was similar between inpatient (median = 37 days; IQR = 11, 112) and outpatient (median = 44 days; IQR = 14, 118) palliative care users, and shorter among those with only one palliative care encounter (median = 18 days; IQR = 5, 64).
This national evaluation provides novel insights into the care setting and dose of VA specialty palliative care for veterans. Among veterans with palliative care use, one-third received at least some palliative care in the outpatient care setting. Differences between veterans with inpatient and outpatient use motivate the need for further research to understand how care settings and number of palliative care encounters impact outcomes for veterans and older adults.
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