Background and Objectives Enhanced management and prevention of frailty depend on our understanding of the association between potentially modifiable risk factors and frailty. However, the associations between potentially modifiable cardiometabolic risk factors and frailty are not clear. The purpose of this review was to appraise and synthesize the current evidence examining the associations between the cardiometabolic risk factors and frailty. Research Design and Methods Multiple databases, including MEDLINE (via PubMed), Embase (via Elsevier), and Web of Science (via Clarivate), were searched extensively. Studies that examined cardiometabolic risk factors and frailty as main predictors and outcome of interest, respectively, among older adults (≥ 60 years) were included. The Joanna Briggs Institute (JBI) critical appraisal tools were used to evaluate the quality of studies. PRISMA (2020) guided this review, and findings were synthesized without meta-analysis. This systematic review was registered in PROSPERO (CRD42021252565). Results Twelve studies met the eligibility criteria and were included in the review. Abdominal obesity, hyperglycemia, and multiple co-occurring cardiometabolic risk factors were associated with the increased likelihood of frailty in older adults. There was inconsistency across the studies regarding the associations between dyslipidemia, elevated blood pressure, and frailty. Discussion and implications Understanding the association between cardiometabolic risk factors and frailty can have translational benefits in developing tailored interventions for the prevention and management of frailty. More studies are needed to validate predictive and clinically significant associations between single and specific combinations of co-occurring cardiometabolic risk factors and frailty.

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Parkinson's disease is a progressive neurodegenerative disease with complex, heterogeneous motor and non-motor symptoms. The current evidence shows that there is still a marked heterogeneity in the subtyping of Parkinson's disease using both clinical and data-driven approaches. Another challenge posed in PD subtyping is the reproducibility of previously identified PD subtypes. These issues require additional results to confirm previous findings and help reconcile discrepancies, as well as establish a standardized application of cluster analysis to facilitate comparison and reproducibility of identified PD subtypes. Our study aimed to address this gap by investigating subtypes of Parkinson's disease using comprehensive clinical (motor and non-motor features) data retrieved from 408 de novo Parkinson's disease patients with the complete clinical data in the Parkinson's Progressive Marker Initiative database. A standardized k-means cluster analysis approach was developed by taking into consideration of common practice and recommendations from previous studies. All data analysis codes were made available online to promote data comparison and validation of reproducibility across research groups. We identified two distinct PD subtypes, termed the severe motor-non-motor subtype (SMNS) and the mild motor- non-motor subtype (MMNS). SMNS experienced symptom onset at an older age and manifested more intense motor and non-motor symptoms than MMNS, who experienced symptom onset at a younger age and manifested milder forms of Parkinson's symptoms. The SPECT imaging makers supported clinical findings such that the severe motor-non-motor subtype showed lower binding values than the mild motor- non-motor subtype, indicating more significant neural damage at the nigral pathway. In addition, SMNS and MMNS show distinct motor (ANCOVA test: F = 47.35, p< 0.001) and cognitive functioning (F = 33.93, p< 0.001) progression trends. Such contrast between SMNS and MMNS in both motor and cognitive functioning can be consistently observed up to 3 years following the baseline visit, demonstrating the potential prognostic value of identified PD subtypes.

The purpose of this study was to assess the acceptability, feasibility, and appropriateness of the PAL Card intervention. The data for this study came from monthly logs and final calls completed by n=26 NH providers. Staff from multiple departments contributed to the PAL card implementation. Common places for placing PAL cards were wheelchairs, walkers, doors, and in closets. Over 90 % of residents approved of the accuracy of information presented in PAL cards. From the providers’ perspective, PAL cards’ acceptability ranged from 96 to 100%, appropriateness ranged from 93.10 to 100 % and feasibility ranged from 90 to 100%. The total staff time estimated costs for PAL card implementation ranged from $180 to $3,236 depending on the individuals involved. The PAL card intervention was deemed acceptable, feasible, and appropriate by providers and accurate by residents. A discussion of the opportunity costs associated with implementing this intervention will be discussed.

Inpatient rehabilitation Facilities (IRFs) provide intensive rehabilitation therapy to patients to reduce functional impairment, enhance independence and return patients back to the community. Determination of eligibility for IRF is currently based on a preadmission screening. Frailty, a pervasive characteristic in older adults with hip fractures has not been examined as a clinical factor influencing function and discharge destination IRF outcomes. This study purpose was to determine the prevalence of frailty among older adult IRF patients with hip fractures and determine the association between frailty and function and discharge destination among IRF hip fracture patients. A retrospective cohort study design using CMS 2014 Inpatient Rehabilitation Facility-Patient Assessment Instrument file. Frailty was measured using a Frailty Index of 30 items. The final sample included 26,134 patients. Frailty, pre-frailty, and nonfrailty were present in 0.92% (n=24043), 3.3% (n=862), and .076% (n=199) of hip fracture patients, respectively. The majority (65%) of the patients were discharged home. There were significantly greater proportion of females than males discharged home and those of white race, 65 to 74 years of age, and those with higher functional status. Regression analysis showed significantly lower functional status at discharge (p < .0001) for males and those of non-white race, older age and frail. Study implications include the use of frailty status to identify hip fracture patients at high risk for adverse outcomes and need for future studies to explore the potential of frailty to provide value-added utility to IRF clinical settings and identify ongoing opportunities to guide person-centered care.