Many post-acute and long-term care settings (PALTCs) struggle to measure antibiotic use via the standard metric, days of therapy (DOT) per 1000 days of care (DOC). Our objective was to develop antibiotic use metrics more tailored to PALTCs.

Retrospective cohort study with a validation cohort.

PALTC settings within the same network.

We obtained census data and pharmacy dispensing data for 13 community PALTCs (January 2020–December 2023). We calculated antibiotic DOT/1000 DOC, DOT per unique residents, and antibiotic starts per unique residents, at monthly intervals for community PALTCs. The validation cohort was 135 Veterans Affairs Community Living Centers (VA CLCs). For community PALTCs only, we determined the DOT and antibiotics starts per unique residents cared for by individual prescribers.

For community PALTCs, the correlation between facility-level antibiotic DOT/1000 DOC and antibiotic DOT/unique residents and antibiotic courses/unique residents was 0.97 (P < 0.0001) and 0.84 (P < 0.0001), respectively. For VA CLCs, those values were 0.96 (P < 0.0001) and 0.85 (P < 0.0001), respectively. At community PALTCs, both novel metrics permitted assessment and comparison of antibiotic prescribing among practitioners.

At the facility level, the novel metric antibiotic DOT/unique residents demonstrated strong correlation with the standard metric. In addition to supporting tracking and reporting of antibiotic use among PALTCs, antibiotic DOT/unique residents permits visualization of the antibiotic prescribing rates among individual practitioners, and thus peer comparison, which in turn can lead to actionable feedback that helps improve antibiotic use in the care of PALTC residents.

People with HIV (PWH) are at an increased risk for cognitive impairment as they age compared to their HIV-negative counterparts. Lifestyle factors can have protective effects on cognitive outcomes among PWH. However, little work has examined diet quality and cognitive function in PWH. Examining the association between diet quality and cognitive function among PWH is particularly important given this population’s increased risk for both poor diet quality and cognitive impairment. The purpose of this study was to examine the relationship between diet and cognitive function in aging PWH.

This cross-sectional study was conducted in Birmingham, Alabama and Cleveland, Ohio. Eighty-six PWH (mean age 56 years) completed standard triple-pass 24-hour diet recalls and a neurocognitive assessment. Partial Pearson’s correlations were conducted between diet variables and global neurocognitive function T scores, adjusting for total calories, sex, and education level.

Overall diet quality of the sample was poor. The overall sample presented with low Healthy Eating Index (HEI)-2015 scores, high glycemic index, twice the goal amount for saturated fatty acids (SFAs), and inadequate consumption of several nutrients typically associated with cognitive health including omega-3 fatty acids, dietary protein, fiber, Vitamin D, Zinc, and several B-vitamins. Greater total calories per day (r=0.28, p<0.05), greater percentage of total calories of SFAs (r=0.26, p<0.01), and lower glycemic index (r=-0.24, p<0.05) were associated with better cognition. Higher intake of several individual fatty acids, particularly SFAs, were associated with better cognition (correlations ranging from 0.23 to 0.31). Higher intakes of phosphorus (r=0.29, p<0.01), magnesium (r=0.25, p<0.05), and potassium (r=0.22, p<0.05) were associated with better cognition. Higher grams/day of several amino acids were associated with better cognition (correlations ranging from 0.22 to 0.27).

In a sample with overall poor diet quality not meeting recommended guidelines, findings suggest that being nourished in itself is associated with better cognitive function. Associations with several individual nutrients may inform potential intervention targets to protect brain health in PWH. Further, targeting food insecurity in interventions may have downstream effects on cognition in PWH.

Understanding the factors contributing to optimal cognitive function throughout the aging process is essential to better understand successful cognitive aging. Processing speed is an age sensitive cognitive domain that usually declines early in the aging process; however, this cognitive skill is essential for other cognitive tasks and everyday functioning. Evaluating brain network interactions in cognitively healthy older adults can help us understand how brain characteristics variations affect cognitive functioning. Functional connections among groups of brain areas give insight into the brain’s organization, and the cognitive effects of aging may relate to this large-scale organization. To follow-up on our prior work, we sought to replicate our findings regarding network segregation’s relationship with processing speed. In order to address possible influences of node location or network membership we replicated the analysis across 4 different node sets.

Data were acquired as part of a multi-center study of 85+ cognitively normal individuals, the McKnight Brain Aging Registry (MBAR). For this analysis, we included 146 community-dwelling, cognitively unimpaired older adults, ages 85-99, who had undergone structural and BOLD resting state MRI scans and a battery of neuropsychological tests. Exploratory factor analysis identified the processing speed factor of interest. We preprocessed BOLD scans using fmriprep, Ciftify, and XCPEngine algorithms. We used 4 different sets of connectivity-based parcellation: 1)MBAR data used to define nodes and Power (2011) atlas used to determine node network membership, 2) Younger adults data used to define nodes (Chan 2014) and Power (2011) atlas used to determine node network membership, 3) Older adults data from a different study (Han 2018) used to define nodes and Power (2011) atlas used to determine node network membership, and 4) MBAR data used to define nodes and MBAR data based community detection used to determine node network membership.

Segregation (balance of within-network and between-network connections) was measured within the association system and three wellcharacterized networks: Default Mode Network (DMN), Cingulo-Opercular Network (CON), and Fronto-Parietal Network (FPN). Correlation between processing speed and association system and networks was performed for all 4 node sets.

We replicated prior work and found the segregation of both the cortical association system, the segregation of FPN and DMN had a consistent relationship with processing speed across all node sets (association system range of correlations: r=.294 to .342, FPN: r=.254 to .272, DMN: r=.263 to .273). Additionally, compared to parcellations created with older adults, the parcellation created based on younger individuals showed attenuated and less robust findings as those with older adults (association system r=.263, FPN r=.255, DMN r=.263).

This study shows that network segregation of the oldest-old brain is closely linked with processing speed and this relationship is replicable across different node sets created with varied datasets. This work adds to the growing body of knowledge about age-related dedifferentiation by demonstrating replicability and consistency of the finding that as essential cognitive skill, processing speed, is associated with differentiated functional networks even in very old individuals experiencing successful cognitive aging.

Prospective memory (PM) is the memory used when intentions are to be carried out in the future. Little research has been conducted examining PM after stroke. This study aimed to determine if PM is impaired after stroke through comparison of individuals with stroke to healthy controls. Additionally, it aimed to explore the predictors of PM performance post-stroke.

Twenty-eight individuals with stroke and 27 neurologically healthy controls completed the Cambridge Prospective Memory Test (CAMPROMPT), 2 self-report PM questionnaires, and multiple cognitive measures.

Individuals with stroke performed significantly lower on both event- and time-based PM than controls on the CAMPROMPT, indicating PM impairment. Event-based PM after stroke was significantly predicted by age, retrospective memory (RM), and global cognitive function, whereas time-based PM was only predicted by the metacognitive skill of note-taking. Age and note-taking predicted time-based PM for controls, whereas only age predicted event-based PM for control participants.

The findings of this study have helped to confirm that PM impairment does exist after stroke, particularly when using a standardised PM measure. Furthermore, PM impairment may be predicted by variables, such as age, strategy use, RM, and cognitive ability.

The causes of CHD are complex and often unknown, leading parents to ask how and why this has happened. Genetic counselling has been shown to benefit these parents by providing information and support; however, most parents currently do not receive this service. This study aimed to develop a brochure to determine whether an information resource could improve parents’ knowledge about CHD causation and inheritance and increase psychosocial functioning.

In development, the resource was assessed against several readability scales and piloted. Parents of children attending preadmission clinic for surgery were included. Assessments occurred pre- and post-receiving the information resource using a purpose-designed knowledge measure and validated psychological measures.

Participant’s (n = 52) knowledge scores increased significantly from the pre-questionnaire ( ${\overline x}\, = \,5/10$ , sd = 2.086) to post-questionnaire ( $\overline x\, = \,7.88/10$ , sd = 2.094, p < 0.001), with all aware that CHD can be caused by genetic factors after reading the brochure. Perceived personal control also increased from pre- ( $\overline x\, = \,11.856/18$ , sd = 4.339) to post-brochure ( $\overline x\, = \,14.644/18$ , sd = 3.733, p < 0.001), and many reported reduced feelings of guilt. No negative emotional response to the brochure was reported. The information provided was considered relevant (88%), reassuring (86%), and 88% would recommend the brochure to other parents. However, some wanted more emotional support and assistance in what to tell their child.

Use of the information resource significantly enhanced parents’ knowledge of CHD causation and increased their psychosocial functioning. It is a valuable resource in the absence of genetic counselling; however, it should not replace formal genetic counselling when required.