Background:Frequently visited community pharmacies can serve as sites for additional healthcare, including screenings for unknown conditions. Our implementation-oriented pilot study sought to evaluate the proportions of older adults that followed-up with their primary healthcare provider about a positive cardiac arrhythmia, weakness, or cognitive impairment screening performed in a community pharmacy. Methods:A cross-sectional design was used and screenings occurred at a well-visited community pharmacy inside a clinic. Possible cardiac arrhythmias were identified with a mobile electrocardiogram. Weakness status was examined with a hydraulic handgrip dynamometer. A paper-and-pencil based cognitive assessment determined cognitive impairment status. Participants screening positive were advised to visit their healthcare provider, and follow-up for determining if such visits occurred was performed approximately 3-months later. Results:Of the 106 participants, 51 were referred to their healthcare provider for any positive screening. At follow-up, 12 (23.5%) participants reported visiting their primary healthcare provider about the positive screening performed at the community pharmacy. Conclusions:Our implementation-oriented pilot study showed promise for kindling healthcare provider follow-up regarding positive screenings performed at a community pharmacy. Conducting such screenings may reengage patients with their primary healthcare providers when appropriate, and support the identification of unknown conditions.
Background:Recurrent falls in older adults are a major public health concern, often resulting in severe injuries such as Intracranial Injuries (ICIs). These injuries increase the risk of cognitive decline, disability, and early mortality. While medications like antihypertensives and antidepressants are essential for managing chronic conditions, they may also contribute to fall-related injury risk. Methods:This retrospective cohort study analyzed data from 3760 adults aged 65 to 89 years at the Virginia Commonwealth University Health System (VCUHS) in 2023. Patients were categorized into two cohorts: those with initial falls (n = 2710) and those with recurrent falls (n = 1050). Demographic variables, medication use, and fall-related ICI outcomes were examined. Incidence, prevalence, and measures of association were calculated. Cox regression models assessed the impact of demographic and clinical predictors on ICI risk. Results:The risk of ICI was 10.4% higher in patients with recurrent falls compared to those with initial falls (HR = 1.104, 95% CI: 0.833-1.463, p = 0.0493). Males were significantly more likely to sustain ICIs (HR = 1.369, 95% CI: 1.054-1.779, p = 0.0186), as were older adults with each additional year of age (HR = 1.021, 95% CI: 1.001-1.041, p = 0.0347). Antihypertensive use nearly doubled the risk of ICI (HR = 1.958, 95% CI: 1.379-2.781, p = 0.0002), and antidepressant use was associated with a 47.1% increase (HR = 1.471, 95% CI: 1.1-1.968, p = 0.0093). Race was not a significant predictor of ICI risk in adjusted models. Conclusions:Recurrent falls were associated with a higher likelihood of ICIs among older adults, particularly in males, those of advanced age, and individuals prescribed antihypertensive or antidepressant medications. These results point to the importance of identifying patients at increased vulnerability and tailoring fall-related care and medication reviews accordingly to help reduce injury severity in this population.
Aim:To assess the prevalence of older adults with AF and multimorbidity expressing a need for greater involvement in SDM for stroke prevention and associated patient characteristics. Methods:A prospective cohort study (2016-2018) enrolled patients aged 65 years and older with AF from clinics in MA and Georgia. Participants with one or more chronic conditions were included in this study. To assess patient preferences for greater engagement in SDM, participants on oral anticoagulants were asked at the one-year follow-up if they would like to be more involved in deciding to take an anticoagulant and which oral anticoagulant to use for stroke prevention. Multivariable logistic regression analysis was used to identify patient characteristics associated with preference for more SDM engagement. Results:Among participants (n = 532; mean age: 75 years; 48% women, 87% White), 41% had 1-4 chronic conditions, 40% had 5-7, and 19% had 8 or more. Approximately one-third expressed a preference for both engaging in SDM on anticoagulation initiation and choosing the type of anticoagulant for stroke prevention. After multivariable adjustment, participants who were younger (aged 65-74 years), women, non-White, had less than high school education, higher perceived burden from anticoagulation use, or had fewer comorbidities, were more likely to report the need for greater SDM engagement for stroke prevention. Conclusions:Clinicians should recognize the specific needs of older patients with AF and multimorbidity that seek greater involvement in SDM for stroke prevention. Providing tailored interventions can enhance stroke prevention decision-making in this vulnerable population.
Falls are a leading cause of morbidity and mortality in older adults, especially among nursing home residents. Falls occur more commonly among older adults with dementia than among those without dementia. Moreover, half of nursing home residents have moderate to severe cognitive impairment. While less than 5% of older adults live in nursing homes, they account for 20% of deaths from falls in this age group. In addition, 78% of older adults who fall need help in getting up from the floor. The consequences of falling, such as prolonged lying on the floor, can produce severe and prolonged health effects. The acute shortage of staff in nursing homes, especially during evening, night and weekend shifts, can delay the detection and response to falls. There are various systems designed to detect falls and alert staff, including those utilizing wearable devices, ambience sensors and cameras (vision) as well as fusion systems. They each have their advantages and drawbacks. In this NIA-funded SBIR grant, we are developing and testing the feasibility of a fall detection and prevention system that addresses the drawbacks of previous systems. We anchor our approach on the deployment of an autonomously navigating robot equipped with a mounted infrared camera and machine learning software designed to detect the risk of falls and falls themselves. The robot will patrol resident rooms during evening and night shifts and alert the staff, allowing them to evaluate the fall risk or fall alert presented by the robot video camera and determine whether indeed a resident has fallen or is at risk of falling, and take appropriate action.
Background:Falls among older adults significantly increase the risk of physical injuries, loss of independence, and social isolation, contributing to psychological conditions such as depression. Objective:This study explores the association between falls and the risk of developing depression among older adults, comparing psychological outcomes between those with initial and recurrent falls. It also examines demographic factors such as age, sex, and race that may influence depression risk. Methods:We retrospectively analyzed electronic health records from the TriNetX network at Virginia Commonwealth University Health System (VCUHS) during 2023. Older adults aged 65 to 89 were classified into two cohorts: initial falls (n = 2710) and recurrent falls (n = 1050). Statistical analyses, including risk ratios, survival analysis, and proportional hazards models, were used to evaluate associations between falls and depression risk. Results:Recurrent fallers exhibited a higher prevalence of depression (25.7%) compared to initial fallers (16.6%), with a significant association (p < 0.000). Recurrent fallers were 48.8% more likely to develop depression (HR = 1.488). Among younger adults aged 65 to 69, females had a higher prevalence of depression than males (30.5% vs. 20.1%). Anxiety disorders tripled the risk of depression following falls (HR = 3.036). Conclusions:Recurrent falls are significantly associated with an increased likelihood of depression among older adults, highlighting the need for comprehensive interventions. Preventing falls not only reduces the risk of physical injuries but also alleviates associated mental health challenges, including depression and other comorbidities such as postoperative cognitive decline and dementia. Tailored prevention strategies, such as balance training, cognitive therapy, and home safety modifications, can foster better recovery and enhance the quality of life for this vulnerable population.
Background:Assisted walking exercise programs are widely recommended in rehabilitation guidelines for stroke survivors. However, most evidence supporting these programs primarily focuses on ambulatory stroke survivors or those dependent ambulatory in acute and subacute stages. There is a notable gap in the application of walking exercise programs for chronic dependent ambulatory stroke survivors despite potential benefits in reducing sedentary behavior and improving rehabilitation outcomes. Thus, this literature review aims to summarize the existing evidence on the feasibility and efficacy of assisted walking exercise programs for chronic stroke survivors who are dependent ambulators. Methods:Six major databases were searched for clinical trials related to assisted walking exercise and chronic dependent ambulatory stroke. Results:Seven studies (evidence with low- to moderate-quality) involving 91 chronic dependent ambulatory stroke subjects are included in this review. Conclusions:These studies indicated that assisted walking exercise is feasible to perform by chronic dependent ambulatory stroke survivors and can induce continued motor recovery and functional improvement. However, the mixed and limited evidence from existing research underscores the need for future high-quality randomized controlled trials with standardized designs and outcome measures to establish evidence-based walking programs for this population.
Background:Degenerative diseases such as Alzheimer's disease and dementia are significant health concerns among older adults in the United States, contributing substantially to the high incidence of falls in this population. This study aims to investigate the incidence and prevalence of falls among older adults diagnosed with Alzheimer's disease and dementia and explore the association between these conditions and the occurrence of traumatic brain injuries (TBIs). Methods:A retrospective cohort study was conducted using data from 17,000 older adults aged 65 and above, arrived at the hospital with fall related injuries, obtained from the TriNetX network at Virginia Commonwealth University Health System (VCUHS) between January 1, 2019, and December 31, 2023. Data included demographic information, diagnosis codes (ICD-10), and details on falls, Alzheimer's disease, dementia, and TBIs. Descriptive statistics and logistic regression analyses were performed using TriNetX analytical tools. Results:Older adults with Alzheimer's disease (incidence proportion: 3.11%, prevalence: 4.81%) and dementia (incidence proportion: 12.46%, prevalence: 17.06%) had a significantly higher incidence of falls compared to those without these conditions. Females showed a slightly higher incidence of falls than males. Logistic regression analysis indicated that patients with Alzheimer's disease had a reduced risk of TBIs (OR = 0.765, 95% CI: 0.588-0.996, p = 0.047), while those with unspecified dementia had an increased risk (OR = 1.161, 95% CI: 1.002-1.346, p = 0.047). Conclusions:Our study reveals a higher risk of falls and traumatic brain injuries (TBIs) in older adults with dementia compared to those with Alzheimer's disease. These findings underscore the need for targeted fall prevention strategies and educational programs for caregivers.
Background:The purpose of this study was to evaluate the associations of (1) individual absolute and body size normalized weakness cut-points, and (2) the collective weakness classifications on time to diabetes in Americans. Methods:We analyzed data from 9577 adults aged at least 50-years from the Health and Retirement Study. Diabetes diagnosis was self-reported. A handgrip dynamometer measured handgrip strength (HGS). Males with HGS <35.5 kg (absolute), <0.45 kg/kg (normalized to body weight), or <1.05 kg/kg/m2 (normalized to BMI) were categorized as weak. Females were classified as weak if their HGS was <20.0 kg, <0.337 kg/kg, or <0.79 kg/kg/m2. Compounding weakness included falling below 1, 2, or all 3 cut-points. Results:Persons below the body weight normalized weakness cut-points had a 1.29 (95% confidence interval (CI): 1.15-1.47) higher hazard for incident diabetes, while those below the BMI normalized cut-points had a 1.30 (CI: 1.13-1.51) higher hazard. The association between absolute weakness and incident diabetes was insignificant (hazard ratio: 1.06; CI: 0.91-1.24). Americans below 1, 2, or all 3 collective weakness categories had a 1.28 (CI: 1.10-1.50), 1.29 (CI: 1.08-1.52), and 1.33 (CI: 1.09-1.63) higher hazard for the incidence of diabetes, respectively. Conclusions:Our findings indicate that while absolute weakness, which is confounded by body size, was not associated with time to diabetes, adjusting for the influence of body size by normalizing HGS to body weight and BMI was significantly associated with time to diabetes. This suggests that muscle strength, not body size, may be driving such associations with time to diabetes.
Sarcopenia, defined as a loss of muscle mass and function, is a physiologic factor that has been implicated as a predictor of adverse postoperative outcomes in many older adult populations. However, data related to sarcopenia in older adults with inflammatory bowel disease (IBD) remain limited. Older adults with IBD are particularly vulnerable to adverse postoperative outcomes, in part, due to muscle depletion from systemic inflammation, malnutrition, and reduced physical activity. However, few patients undergo routine muscle evaluation as a part of preoperative assessment. Moreover, cut-off values for measures of sarcopenia in the literature are modeled after non-IBD populations. The lack of standardized measures and values for sarcopenia in the IBD patient population has led to heterogenous findings and a paucity of preoperative risk stratification tools. Therefore, we aim to explore the scope of sarcopenia as a preoperative risk stratification tool among older adults with IBD.
Background:Falls are a primary cause of injuries and hospitalization in older adults. It has been reported that cognitive impairments and dementia can increase fall risk in the older population; however, it remains unknown if fall risk differs among subgroups of dementia. This meta-analysis summarized previous studies reporting the annual fall risk of people with Alzheimer's disease (AD) or mild cognitive impairment (MCI) and compared the fall risk between these two groups of people with dementia.Methods:Thirty-five studies enrolling 7844 older adults with AD or MCI were included. The annual fall prevalence and average number of falls of the included studies were meta-analyzed and compared by random-effects models with inverse variance weights.Results:The annual fall prevalence in people with AD (43.55%) was significantly higher than MCI (35.26%, p < 0.001). A χ2 test indicated that the pooled fall prevalence is significantly higher in people with AD than MCI χ2 = 158.403, p < 0.001). Additionally, the yearly average number of falls in AD was higher than in MCI (1.30 vs 0.77 falls/person).Conclusions:The results showed that older people with AD experience a higher annual fall prevalence with a larger number of falls than older adults with MCI. The results suggested that the fall risk measurements should be reported separately between people with AD and MCI. The findings could provide preliminary guidance for the identification of individuals with dementia who experience a high fall risk.
Urinary incontinence is common in older women and doubles the risk of falls in this population. The association between urinary incontinence, especially urgency urinary incontinence, and falls is multifactorial and likely the result of a complex interaction between physical, mental, social, and environmental factors. As a result of this multifactorial etiology and based on existing evidence, the integration of different fall prevention strategies including strength and resistance exercises, bladder training, and home hazard reduction have the potential to decrease the risk of falls in older women with urinary incontinence. Given the prevalence of urinary incontinence and the significant morbidity associated with falls, effective interventions to reduce fall risk in older women with urinary incontinence is of high public health significance.
Falls are the leading cause of injury, disability, and injury-related mortality in the older adult population. Older adults with Alzheimer disease (AD) are over twice as likely to experience a fall compared to cognitively normal older adults. Intrinsic and extrinsic fall risk factors may influence falls during symptomatic AD; intrinsic factors include changes in cognition and impaired functional mobility, and extrinsic factors include polypharmacy and environmental fall hazards. Despite many known fall risk factors, the high prevalence of falls, and the presence of effective fall prevention interventions for older adults without cognitive impairment, effective fall prevention interventions for older adults with AD to date are limited and inconclusive. Falls may precede AD-related cognitive impairment during the preclinical phase of AD, though a narrow understanding of fall risk factors and fall prevention interventions for older adults with preclinical AD limits clinical treatment of falls among cognitively normal older adults with preclinical AD. This mini review explores fall risk factors in symptomatic AD, evidence for effective fall prevention interventions in symptomatic AD, and preclinical AD as an avenue for future falls research, including recommendations for future research directions to improve our understanding of falls and fall risk during preclinical AD. Early detection and tailored interventions to address these functional changes are needed to reduce the risk of falls for those at risk for developing AD. Concerted efforts should be dedicated to understanding falls to inform precision fall prevention strategies for this population.
Research into neuroimaging biomarkers for Late Life Depression (LLD) has identified neural correlates of LLD including increased white matter hyperintensities and reduced hippocampal volume. However, studies into neuroimaging biomarkers for LLD largely fail to converge. This lack of replicability is potentially due to challenges linked to construct variability, etiological heterogeneity, and experimental rigor. We discuss suggestions to help address these challenges, including improved construct standardization, increased sample sizes, multimodal approaches to parse heterogeneity, and the use of individualized analytical models.
Financial exploitation among older adults is a significant concern with often devastating consequences for individuals and society. Deception plays a critical role in financial exploitation, and detecting deception is challenging, especially for older adults. Susceptibility to deception in older adults is heightened by age-related changes in cognition, such as declines in processing speed and working memory, as well as socioemotional factors, including positive affect and social isolation. Additionally, neurobiological changes with age, such as reduced cortical volume and altered functional connectivity, are associated with declining deception detection and increased risk for financial exploitation among older adults. Furthermore, characteristics of deceptive messages, such as personal relevance and framing, as well as visual cues such as faces, can influence deception detection. Understanding the multifaceted factors that contribute to deception risk in aging is crucial for developing interventions and strategies to protect older adults from financial exploitation. Tailored approaches, including age-specific warnings and harmonizing artificial intelligence as well as human-centered approaches, can help mitigate the risks and protect older adults from fraud.
Sjögren's syndrome (SS) is a chronic autoimmune disease characterized by inflammatory cell infiltration of the salivary and lacrimal glands, resulting in acinar epithelial cell atrophy, cell death, and loss of exocrine function. At least half of SS patients develop extraglandular inflammatory disease and have a wide range of systemic clinical manifestations that can affect any organ system, including connective tissues. As many as 3.1 million people in the U.S. suffer from SS, a disease that causes severe impairment. Women are nine times more likely than men to be affected by this condition. Unfortunately, there is currently no effective treatment for SS, and the available options only provide partial relief. Treatment involves using replacement therapies such as artificial saliva and eye lubricants, or immunosuppressive agents that have limited efficacy. The medical community recognizes that there is a significant need for more effective treatments for SS. Increasing evidence demonstrates the links between the dysfunction of the human microbial community and the onset and development of many human diseases, signifying the potential use of microorganisms as an alternative strategy to conquer these issues. The role of the microbiome in controlling immune function of the human host in the context of autoimmune diseases like SS is now becoming better understood and may help to enable new drug development strategies. Natural probiotics and synthetic biology applications hold promise for novel treatment approaches to solve the encryption of many complex and multifactorial immune disorders, like SS.
Mobility limitation is common among older populations and is a major burden to public health. While lower extremity dysfunction is a known contributor, the influence of shoulder dysfunction on mobility is less well understood. Shoulder pain and rotator cuff tear are common causes of shoulder dysfunction, and both ailments are highly prevalent in older adults. This article discusses shoulder pain and rotator cuff tear as contributors to shoulder dysfunction and describes the association of shoulder dysfunction with mobility limitation in older adults.
Background:Strength asymmetries are a type of muscle function impairment that is associated with several health conditions. However, the prevalence of these asymmetries among adults from the United States remains unknown. We sought to estimate the prevalence and trends of handgrip strength (HGS) asymmetry in American adults.Methods:The unweighted analytic sample included 23,056 persons aged at least 50-years with information on HGS for both hands from the 2006-2016 waves of the Health and Retirement Study. A handgrip dynamometer measured HGS, with the highest recorded values for each hand used to calculate asymmetry. Persons were categorized into the following asymmetry severity categories: (1) >10%, (2) >20.0%, and (3) >30.0%. Survey weights were used to generate nationally-representative asymmetry estimates.Results:Overall, there were no statistically significant trends in HGS asymmetry categories over time. The prevalence of HGS asymmetry in the 2014-2016 wave was 53.4% (CI: 52.2-54.4), 26.0% (CI: 25.0-26.9), and 11.7% (CI: 10.9-12.3) for asymmetry at >10%, >20%, and >30%, respectively. HGS asymmetry was generally higher in older Americans compared to middle-aged adults at each wave. In the 2014-2016 wave, >30% asymmetry prevalence was 13.7% (CI: 12.7-14.6) in females and 9.3% (CI: 8.4-10.2) in males. Some differences in asymmetry prevalence by race and ethnicity were observed.Conclusions:The prevalence of asymmetry was generally high, especially in women and older adults. Ongoing surveillance of strength asymmetry will help monitor trends in muscle dysfunction, guide screening for disablement, identify subpopulations at risk for asymmetry, and inform relevant interventions.
It is predicted that the growth in the U.S. elderly population alongside continued growth in chronic disease prevalence will further strain an already overburdened healthcare system and could compromise the delivery of equitable care. Current trends in technology are demonstrating successful application of artificial intelligence (AI) and machine learning (ML) to biomarkers of cardiovascular disease (CVD) using longitudinal data collected passively from internet-of-things (IoT) platforms deployed among the elderly population. These systems are growing in sophistication and deployed across evermore use-cases, presenting new opportunities and challenges for innovators and caregivers alike. IoT sensor development that incorporates greater levels of passivity will increase the likelihood of continued growth in device adoption among the geriatric population for longitudinal health data collection which will benefit a variety of CVD applications. This growth in IoT sensor development and longitudinal data acquisition is paralleled by the growth in ML approaches that continue to provide promising avenues for better geriatric care through higher personalization, more real-time feedback, and prognostic insights that may help prevent downstream complications and relieve strain on the healthcare system overall. However, findings that identify differences in longitudinal biomarker interpretations between elderly populations and relatively younger populations highlights the necessity that ML approaches that use data from newly developed passive IoT systems should collect more data on this target population and more clinical trials will help elucidate the extent of benefits and risks from these data driven approaches to remote care.
Estrogen receptor alpha (ERα) plays a crucial role in reproductive function in both sexes. It also mediates cellular responses to estrogens in multiple nonreproductive organ systems, many of which regulate systemic metabolic homeostasis and inflammatory processes in mammals. The loss of estrogens and/or ERα agonism during aging is associated with the emergence of several comorbid conditions, particularly in females undergoing the menopausal transition. Emerging data also suggests that male mammals likely benefit from ERα agonism if done in a way that circumvents feminizing characteristics. This has led us, and others, to speculate that tissue-specific ERα agonism may hold therapeutic potential for curtailing aging and chronic disease burden in males and females that are at high-risk of cancer and/or cardiovascular events with traditional estrogen replacement therapies. In this mini-review, we emphasize the role of ERα in the brain and liver, summarizing recent evidence that indicates these two organs systems mediate the beneficial effects of estrogens on metabolism and inflammation during aging. We also discuss how 17α-estradiol administration elicits health benefits in an ERα-dependent manner, which provides proof-of-concept that ERα may be a druggable target for attenuating aging and age-related disease burden.
