Different Cognitive Frailty Models and Health- and Cognitive-related Outcomes in Older Age: From Epidemiology to Prevention

Accumulated cognitive impairment, frailty, burden, and perceived stress and the risk of hospitalization and mortality in older caregivers

Combination of cognitive impairment, frailty, perceived stress, and excessive burden poses a risk to the health of caregivers.

Emerging Evidence on the Use of Probiotics and Prebiotics to Improve the Gut Microbiota of Older Adults with Frailty Syndrome: A Narrative Review

BACKGROUND

The gut microbiota can impact older adults' health, especially in patients with frailty syndrome. Understanding the association between the gut microbiota and frailty syndrome will help to explain the etiology of age-related diseases. Low-grade systemic inflammation is a factor leading to geriatric disorders, which is known as "inflammaging". Intestinal dysbiosis has a direct relationship with low-grade systemic inflammation because when the natural gut barrier is altered by age or other factors, some microorganisms or their metabolites can cross this barrier and reach the systemic circulation.

OBJECTIVES

This review had two general goals: first, to describe the characteristics of the gut microbiota associated with age-related diseases, specifically frailty syndrome. The second aim was to identify potential interventions to improve the composition and function of intestinal microbiota, consequently lessening the burden of patients with frailty syndrome.

METHODS

A search of scientific evidence was performed in PubMed, Science Direct, and Redalyc using keywords such as "frailty", "elderly", "nutrient interventions", "probiotics", and "prebiotics". We included studies reporting the effects of nutrient supplementation on frailty syndrome and older adults. These studies were analyzed to identify novel therapeutic alternatives to improve gut microbiota characteristics as well as subclinical signs related to this condition.

RESULTS

The gut microbiota participates in many metabolic processes that have an impact on the brain, muscles, and other organs. These processes integrate feedback mechanisms, comprising their respective axis with the intestine and the gut microbiota. Alterations in these associations can lead to frailty. We report a few interventions that demonstrate that prebiotics and probiotics could modulate the gut microbiota in humans. Furthermore, other nutritional interventions could be used in patients with frailty syndrome.

CONCLUSION

Probiotics and prebiotics may potentially prevent frailty syndrome or improve the quality of life of patients with this disorder. However, there is not enough information about their appropriate doses and periods of administration. Therefore, further investigations are required to determine these factors and improve their efficacy as therapeutic approaches for frailty syndrome.

Transitions in the Cognitive Frailty States in Community-Living Older Adults: A 6-Year Prospective Cohort Study

Background: Frailty is a multidimensional concept, including physical, cognitive, social, sensorial, psychological, and nutritional phenotypes. Among these phenotypes, cognitive frailty is the most widely investigated, which is related to many adverse health outcomes in older individuals. Whether cognitive frailty is dynamic or how these frail phenotypes interact remains an open issue. We studied the rate of these changes over time and their associated factors in a 6-year follow-up cohort.

Methods: A total of 426 Chinese community-living older adults in Dujiangyan aged 65 years or older were involved and followed up in three visits 6 years apart. Frailty and cognitive function were assessed using the FRAIL scale and the Mini-Mental State Examination scale. Demographic information, geriatric syndrome, and social interaction status were studied. Rates of transitions in cognitive frailty states and associated risk factors were studied. We used the stepwise logistic regression model to analyze risk factors.

Results: At baseline, 18.8% of participants were only in the physical frailty (PF) or mild cognitive impairment (MCI) group, and 0.09% of participants were in the cognitive frailty group. By the end of 6 years, 62 (14.5%) participants had died, and the rates of only PF or MCI group and cognitive frailty group increased to 36.2 and 3.3%, respectively. Also, 199 (46.7%) participants had deteriorated compared with the baseline. The multivariate regression analysis showed that older (OR = 1.12, 95% CI = 1.07 − 1.16, P < 0.001), smoker (OR = 2.15, 95% CI = 1.37 − 3.39, P = 0.001), poor self-evaluation health status (OR = 1.93, 95% CI = 1.06 − 3.51, P = 0.033), and malnutrition (OR = 2.07, 95% CI = 1.21 − 3.52, P = 0.008) were risk factors for worsening, whereas willing to make new friends (OR = 0.61, 95% CI = 0.38 − 0.96, P = 0.032) was associated with 39% lower chance of deterioration.

Conclusion: Cognitive frailty is a dynamically changing state, where transitions may be influenced by multidimensions. Multidimensional monitoring of a wide range of events occurring in aging may be the best way to act early. We hope our study may serve as a starting point for redefining the definition of cognitive frailty by covering different frailty domains.

Frailty and Its Correlates in Cognitively Intact Community-Dwelling Older Adults

BACKGROUND

Frailty syndrome is characterized by a decline in physiological and psychological reserve and may be associated with poor health outcomes.

OBJECTIVES

The current study explored frailty and its correlates among cognitively intact community-dwelling older adults.

METHODS

A secondary analysis of data collected from 109 community-dwelling older adults who are cognitively intact was conducted for the purpose of this study. The Arabic versions of the culturally adapted Tilburg Frailty Indicator, the Montreal Cognitive Assessment, the Geriatric Depression Scale, and the Short Form-36 Quality of Life (QOL) survey. Multiple linear regression was used to examine the relationships between frailty and depression.

RESULTS

The results indicated a high prevalence of frailty (78%) and depression (38%) among cognitively intact community-dwelling older adults. Frailty was found to be associated with increased age, being single or illiterate, living alone, having a high number of comorbid conditions, having high rate of depression, and having poor QOL.

CONCLUSION

High prevalence of frailty is associated with high depression scores, a high number of comorbid conditions, and poor QOL among cognitively intact community-dwelling older adults.

An update on cognitive frailty: Its definition, impact, associated factors and underlying mechanisms, and interventions

Since the concept and operational definition of "cognitive frailty" (simultaneous presence of physical frailty and cognitive impairment without concurrent dementia) were proposed by the International Academy of Nutrition and Aging and the International Association of Gerontology and Geriatrics, cognitive frailty has been widely investigated. This review is intended to address the operational definition of cognitive frailty, its consequences, contributing factors and underlying mechanisms, as well as interventions for cognitive frailty. Although the definitions and assessments of cognitive frailty vary among researchers, older adults with both physical frailty and cognitive impairment are shown to be at higher risk of adverse health outcomes, including death, disability, hospitalization and incident dementia, than those with either condition alone. While the underlying mechanisms of cognitive frailty are still unclear, factors shown to be associated with cognitive frailty include sociodemographic factors, social status, nutritional status, geriatric syndrome, physical and cognitive activities, functional status, comorbidities, medication use, gut-derived metabolites and structural changes in the brain. Accumulating evidence indicates the need for comprehensive geriatric assessment that helps identify the possible causes of cognitive frailty and develop a multimodal individualized intervention to prevent adverse health outcomes for older adults with cognitive frailty. Further studies are required to clarify the mechanisms through which physical frailty and cognitive impairment interact to accelerate adverse health outcomes, particularly cognitive outcomes. In addition, for older adults with cognitive frailty, an effective flow diagram from primary screening through comprehensive assessment to multidimensional intervention needs to be developed for future implementation in both clinical and community settings. Geriatr Gerontol Int 2021; ••: ••-••.

The state of frailty in research: A mapping review of its clinical applicability to practice

Research on frailty has expanded in the last decade, but direct evidence supporting its implementation in clinical practice may be limited. This mapping review synthesizes the contexts-of-use and overall clinical applicability of recent pre-COVID frailty research. We sampled 476 articles from articles published on frailty in PubMed and EMBASE in 2017-2018, of which 150 articles were fully appraised for the contexts-of-use, definitions, and interventions. A clinical applicability framework was used to classify articles as practice-changing, practice-informing, or not practice-informing. Of the 476 sampled articles, 31% (n = 150) used frailty in functions that could inform a clinical indication: predictor or mediator (26%, n = 125), selection criterion (3%, n = 15), and effect modifier (2%, n = 10). Articles spanned all health disciplines, and cohort studies comprised 91% (n = 137) of studies and trials 9% (n = 13). Thirty-eight frailty definitions using varied cut-offs and a wide range of interventions were identified. Among all articles, 13% (n = 63) of articles were practice-informing, 2% (n = 11) potentially practice-changing, and 0.2% (n = 1) clearly practice-changing. Lack of well-defined intervention and identifiable effect (96%) or originality (83%) were predominant reasons reducing applicability. Only a minority of recent frailty research provides direct evidence of applicability to practice. Future research on frailty should focus on translating frailty, as a risk factor, into a clinical indication and address definition ambiguity.

Exploring the Mediating Effects of Cognitive Function, Social Support, Activities of Daily Living and Depression in the Relationship between Age and Frailty among Community-Dwelling Elderly

With 16.15% of its total population aged 65 or above, Taiwan is already an aging society. Frailty is a natural consequence of aging, which may decrease physical strength and deteriorate physiological functioning. We examined the mediating effects of cognitive function, social support, activities of daily living (ADL), and depression in the relationship between age and frailty in older people living in the community. This cross-sectional study used a structured questionnaire to collect data from a convenience sample of 200 pre-frail to mildly frail older adults in southern Taiwan. Structural equation modeling was used for data analysis, with data collected from July to November 2020. ADL mediated the relationship between age and frailty, while cognitive function also mediated the relationship between age and frailty, indicating that ADL and cognitive function were significant determinants of frailty. The path from age to frailty was significant, indicating that age was a significant determinant of frailty. The standardized total effect of age affected frailty through the mediating roles of ADL and cognitive function. Age, depression, ADL, and cognitive function explained 59% of the variance in frailty among older adults. ADL and cognitive function are significant mediators of frailty among older adults.

Late-Onset Calorie Restriction Worsens Cognitive Performances and Increases Frailty Level in Female Wistar Rats

The current study aims to determine the potential benefits of calorie restriction (CR), one of the most promising paradigms for life span and healthspan extension, on cognitive performances in female Wistar rats during aging. As a measure of a healthspan, we evaluated the effects of different onset and duration of CR on frailty level. Female Wistar rats were exposed to either ad libitum (AL) or CR (60% of AL daily intake) food intake during aging. Two different CR protocols were used, life-long CR with an early-onset that started at the adult stage (6 months) and 3-month-long CR, started at the middle (15 months) and late-middle (21 months) age, thus defined as a late-onset CR. The effects of CR were evaluated using open-field, Y-maze, and novel object recognition tests. We broadened 2 tools for frailty assessment currently in use for experimental animals, and in alignment with our previous study, we created a physical-cognitive frailty tool that combines both physical and cognitive performances. Our results clearly showed that CR effects are highly dependent on CR duration and onset. While a life-long restriction with an early-onset has been proven as protective and beneficial, short-term restriction introduced at late age significantly worsens an animal's behavior and frailty. These results complement our previous study conducted in males and contribute to the understanding of sex differences in a response to CR during aging.

Oral frailty and neurodegeneration in Alzheimer's disease

Frailty is a critical intermediate status of the aging process with a multidimensional and multisystem nature and at higher risk for adverse health-related outcomes, including falls, disability, hospitalizations, institutionalization, mortality, dementia, and Alzheimer's disease. Among different frailty phenotypes, oral frailty has been recently suggested as a novel construct defined as a decrease in oral function with a coexisting decline in cognitive and physical functions. We briefly reviewed existing evidence on operational definitions of oral frailty, assessment and screening tools, and possible relationships among oral frailty, oral microbiota, and Alzheimer's disease neurodegeneration. Several underlying mechanism may explain the oral health-frailty links including undernutrition, sarcopenia linked to both poor nutrition and frailty, psychosocial factors, and the chronic inflammation typical of oral disease. Oral microbiota may influence Alzheimer's disease risk through circulatory or neural access to the brain and the interplay with periodontal disease, often causing tooth loss also linked to an increased Alzheimer's disease risk. On this bases, COR388, a bacterial protease inhibitor targeting Porphyromonas gingivalis implicated in periodontal disease, is now being tested in a double-blind, placebo-controlled Phase II/III study in mild-to-moderate Alzheimer's disease. Therefore, oral status may be an important contributor to general health, including Alzheimer's disease and late-life cognitive disorders, suggesting the central role of preventive strategies targeting the novel oral frailty phenotype and including maintenance and improvement of oral function and nutritional status to reduce the burden of both oral dysfunction and frailty.

Long sleep duration is associated with cognitive frailty among older community-dwelling adults: results from West China Health and Aging Trend study

OBJECTIVE

To investigate the association between sleep duration and cognitive frailty among older adults dwelling in western China.

METHODS

We used the baseline data from West China Health and Aging Trend (WCHAT) study. Sleep duration was classified as short sleep duration (< 6 h), normal sleep duration (6-8 h) and long sleep duration (≥ 9 h). Fried frailty criteria and Short Portable Mental Status Questionnaire were used to measure cognitive frailty. Multinomial logistic regression was conducted to estimate odds ratio (OR) and 95% confidence interval (CI).

RESULTS

A total of 4093 older adults (age = 67.8 ± 5.9 years, 1708 males and 2385 females) were included in the analysis. The prevalence of cognitive frailty was 11.8% among older adults in western China. Approximately 11.9% participants had short sleep duration (< 6 h); 22.2% had a long sleep duration (≥ 9 h). After adjusting for covariates, only long sleep duration was significantly associated with high risk of cognitive frailty (OR = 2.07, 95%CI = 1.60-2.68, P <  0.001) in western China older adults compared to normal sleep duration.

CONCLUSIONS

Long sleep duration was significantly related to cognitive frailty in older adults. Intervention for long sleep duration may be helpful to prevent cognitive frailty.

TRIAL REGISTRATION

Chinese Clinical Trial Registry: ChiCTR1800018895 .

Psychological and Social Factors Associated with Coexisting Frailty and Cognitive Impairment: A Systematic Review

Those living with coexistent frailty and cognitive impairment are at risk of poorer health outcomes. Research often focuses on identifying biological factors. This review sought to identify the association psychological and social factors have with coexisting physical and cognitive decline. Six databases were systematically searched in July 2020. Studies included individuals aged 60 years or older identified as being both frail and cognitively impaired. A narrative synthesis examined patterns within the data. Nine studies were included, most employed a cross-sectional design. Depression was investigated by all nine studies, those with coexistent frailty and cognitive impairment had higher levels of depressive symptoms than peers. Findings were mixed on social factors, although broadly indicate lower education, living alone and lower material wealth were more frequent in those living with coexistent decline. Further research is needed to explore potentially modifiable psychological and social factors which could lead to the development of supportive interventions.

Physical frailty and cognitive impairment in older nursing home residents: a latent class analysis

BACKGROUND

Little is known about the heterogeneous clinical profile of physical frailty and its association with cognitive impairment in older U.S. nursing home (NH) residents.

METHODS

Minimum Data Set 3.0 at admission was used to identify older adults newly-admitted to nursing homes with life expectancy ≥6 months and length of stay ≥100 days (n = 871,801). Latent class analysis was used to identify physical frailty subgroups, using FRAIL-NH items as indicators. The association between the identified physical frailty subgroups and cognitive impairment (measured by Brief Interview for Mental Status/Cognitive Performance Scale: none/mild; moderate; severe), adjusting for demographic and clinical characteristics, was estimated by multinomial logistic regression and presented in adjusted odds ratios (aOR) and 95% confidence intervals (CIs).

RESULTS

In older nursing home residents at admission, three physical frailty subgroups were identified: "mild physical frailty" (prevalence: 7.6%), "moderate physical frailty" (44.5%) and "severe physical frailty" (47.9%). Those in "moderate physical frailty" or "severe physical frailty" had high probabilities of needing assistance in transferring between locations and inability to walk in a room. Residents in "severe physical frailty" also had greater probability of bowel incontinence. Compared to those with none/mild cognitive impairment, older residents with moderate or severe impairment had slightly higher odds of belonging to "moderate physical frailty" [aOR (95%CI)moderate cognitive impairment: 1.01 (0.99-1.03); aOR (95%CI)severe cognitive impairment: 1.03 (1.01-1.05)] and much higher odds to the "severe physical frailty" subgroup [aOR (95%CI)moderate cognitive impairment: 2.41 (2.35-2.47); aOR (95%CI)severe cognitive impairment: 5.74 (5.58-5.90)].

CONCLUSIONS

Findings indicate the heterogeneous presentations of physical frailty in older nursing home residents and additional evidence on the interrelationship between physical frailty and cognitive impairment.

Association Between Central and Peripheral Age-Related Hearing Loss and Different Frailty Phenotypes in an Older Population in Southern Italy

Importance

The association between age-related hearing loss (ARHL) and physical or cognitive frailty has been poorly explored. These associations could define new perspectives for delaying frailty-related processes in older age.

Objective

To examine whether peripheral ARHL and age-related central auditory processing disorder (CAPD) are independently associated with physical or cognitive frailty.

Design, Setting, and Participants

This cross-sectional study analyzed registry data from December 31, 2014, on 1929 older (≥65 years) participants of the Salus in Apulia Study (Southern Italy) who underwent audiologic, physical, and neuropsychological assessment. Data analysis was performed from December 12, 2019, to January 4, 2020.

Main Outcomes and Measures

Prevalence of peripheral ARHL in older individuals with physical and/or cognitive frailty and those without frailty assessed using the Fried criteria (physical) and the Mini-Mental State Examination (cognitive). Multivariable logistic regression models were used to assess associations of audiologic variables with frailty phenotype.

Results

Data from 1929 participants (mean [SD] age, 73.6 [6.3] years; 974 male [50.5%]) were eligible for the analyses. The prevalence of peripheral ARHL was higher in the physical frailty group (96 [26.6%]) than in the nonfrail group (329 [21.0%]) (difference, 5.61 percentage points; 95% CI, 0.63-10.59 percentage points) and in the cognitive frailty group (40 [38.8%]) than in the nonfrail group (385 [21.1%]) (difference, 17.75 percentage points; 95% CI, 8.2-27.3 percentage points). Age-related CAPD was more prevalent in the physical frailty group (62 [17.2%]) than in the nonfrail group (219 [14.0%]) (difference, 3.21 percentage points; 95% CI, -1.04 to 7.46 percentage points) and in the cognitive frailty group (28 [27.2%]) than in the nonfrail group (253 [13.9%]) (difference, 13.33 percentage points; 95% CI, 4.10-22.21 percentage points). In the multivariable models, age-related CAPD was associated with cognitive frailty in the fully adjusted model (odds ratio [OR], 1.889; 95% CI, 1.094-3.311). There was also an inverse association between the unitary increase in Synthetic Sentence Identification With the Ipsilateral Competitive Message scores, indicating a lower likelihood of this disorder, and cognitive frailty (OR, 0.989; 95% CI, 0.988-0.999). Peripheral ARHL was associated with cognitive frailty only in the partially adjusted model (OR, 1.725; 95% CI, 1.008-2.937).

Conclusions and Relevance

In this cross-sectional study of 1929 participants, age-related CAPD was independently associated with cognitive frailty. Whether the management of ARHL may help prevent the development of different frailty phenotypes or improve their clinical consequences should be addressed in longitudinal studies and, eventually, well-designed randomized clinical trials.

Randomized Controlled Trials of a Psychosocial Intervention for Improving the Cognitive Function among Older Adults: A Scoping Review

Aim: The goal is to explore available evidence and provide greater clarity to what is described as psychosocial intervention to improve cognitive function among older population with MCI as well as identifying areas for future research. Methods: An electronic literature search of PubMed, Cochrane, Ebscohost, Medline, Scopus, and gray resource was conducted to find articles published in English language between 2010 and September 2020. This review focused on research undertaken using randomized clinical trials study design. We extracted information regarding the publication date, geographical location, study setting, intervention mechanism, type of cognitive measurement used, and outcome of the studies. References of this literature were also reviewed to ensure comprehensive search. Result: Out of 240 potential records found, a total of 27 articles were identified following the first round of screening and deletion of duplicates. Full-text article reviews and analysis in the second round of screening narrowed the selection down to four articles. Another three relevant articles obtained from references were also included making a total of seven articles in the final analysis. Findings: Psychosocial intervention strategies for improvement of cognitive function, done in various setting all over the globe, covered a range of approaches including art therapy, visual art therapy, therapeutic writing therapy, reminiscence activity, and cognitive behavioral approach. Most were conducted in weekly basis within 1-to-2-hour duration of session. Cognitive function of older adult in psychosocial intervention group was significantly improved in two studies. Three studies showed no significant improvement at all in the cognitive function, and another one reported success in improving cognitive function over time in the intervention group than in control group. One study did not describe the interaction effect. Different types of cognitive measurement also were used to quantify different domains of cognitive function in the reviewed studies. Conclusion: The idea of using psychosocial intervention for improving cognitive function has begun to increasingly accepted recently. Findings from the limited studies are encouraging, although the outcome of the cognitive function was mixed. Large-scale and longer duration of psychosocial intervention with bigger sample size is warranted for future studies.

Prevalence and Risk Factors for Cognitive Frailty in Aging Hypertensive Patients in China

Hypertension is one of the most common chronic diseases and a major risk factor for stroke, myocardial infarction and cardiovascular death. Cognitive frailty is an important predictor of all-cause mortality and dementia in aging individuals. Hypertension is closely related to cognitive frailty and these two conditions often coexist in aging individuals. Few studies have explored the relationship between hypertension and cognitive frailty in the Chinese population. This study investigates the epidemiological characteristics of and factors related to cognitive frailty in aging Chinese patients with hypertension. In total, cognitive function, weakness, social support, depression and sociodemographic were assessed in 305 participants aged 60 and over. Univariate and multivariate logistic regression models were constructed. The prevalence of cognitive frailty in aging Chinese hypertensive patients was 9.8% (95% CI = 6.4–13.2%). After adjusting for confounding variables, logistic regression showed that the course of hypertension (6–10 years, OR = 8.588, 95% CI = 1.608–45.859;course of more than 10 years, OR = 9.020, 95%CI = 1.854–43.892), multimorbidity (OR = 11.231, 95% CI = 2.912–43.322), depression (OR = 6.917, 95% CI = 2.424–19.738) and social support (OR = 0.187, 95% CI = 0.071–0.492) were independently associated with cognitive frailty. The prevalence of cognitive frailty in aging patients with hypertension in China should not be ignored. The course of hypertension, multimorbidity and depression are the risk factors of cognitive frailty in the aging population and a better level of social support is the protective factor for cognitive frailty.

Cognitive frailty predicting death and disability in Chinese elderly

OBJECTIVE

Cognitive frailty (CF) is associated with adverse health outcomes, but different CF models have been proposed in the literature. We explored whether cognitive impairment (CoI) assessed by the Revised Hasegawa dementia scale (HDS-R) and physical frailty (PF) assessed by the modified Frailty Phenotype can be combined to predict risks of adverse outcomes in elderly Chinese subjects.

METHODS

The data collected in the Rugao Longevity and Aging Study were used. PF was assessed by the modified Frailty phenotype. CoI was defined as the lowest 20% of the HDS-R score. CF was defined as the co-existence of physical frailty and CoI, excluding those with severe CoI(HDR-S ≤ 10). The date and cause of death were acquired from the Death registry of Rugao's Civil Affairs Bureau. Disability was measured using the activities of daily living (ADL) scale.

RESULTS

The prevalence of CF was 2.9% at baseline. During 3-year follow-up, 130 (8.1%) of the 1607 elderly subjects died. The highest mortality risk was observed among subjects with CF (hazard ratio [HR] = 2.94, 95% confidence interval [CI] = 1.28-6.78). Fully adjusted survival plots showed that CF was associated with the highest risk for 3-year mortality. The incidence of ADL disability was 6.0% after 3 years. Compared with the robust and non-CoI elderly, CF was associated with a 10.48-fold (95% CI 2.98-36.80) higher risk of ADL disability.

CONCLUSIONS

The CF model defined as a combination of HDS-R and Frail Phenotypes showed predictive validity for all-cause death and new-onset ADL disability 3 years later.

Associations Between Intellectual and Social Activities With Frailty Among Community-Dwelling Older Adults in China: A Prospective Cohort Study

Background: Frailty is one of the most important global health challenges. We aimed to examine the associations between frequency of intellectual and social activities and frailty among community-dwelling older adults in China.

Methods: This is a prospective analysis of older adults (aged ≥60 years) who had intellectual and social activity data and were free of frailty from the national representative China Health and Retirement Longitudinal Study (CHARLS). The exposure was frequency of intellectual and social activities. Frailty was measured by the frailty index (FI) and defined as FI ≥ 0.25. Frailty incidents were followed up for 2 years. We estimated the relative risks (RRs) with 95% confidence intervals (CIs) using log-linear binominal regression adjusting for potential confounders.

Results: We documented 655 frailty cases over the past 2 years. Participants who had frequent intellectual activities had a lower frailty risk compared with participants who did not have intellectual activity (adjusted RR = 0.65, 95%CI = 0.47–0.90). The adjusted RRs were 0.51 (95%CI = 0.33–0.77) for participants who did not have a slip or a fall accident and 1.06 (95%CI = 0.65–1.75) for participants who had experienced slip and fall accidents (P = 0.01 for interaction). Having frequent social activities was not associated with a significant decrease in frailty risk compared with participants who did not have social activity (adjusted RR = 0.93, 95%CI = 0.78–1.12).

Conclusions: This observational study showed that having frequent intellectual activities was associated with a decreased frailty risk. The association was likely to be stronger in participants without a slip or a fall accident. Randomized controlled trials are needed to confirm this observational finding.

Comprehensive Evaluation of the 5XFAD Mouse Model for Preclinical Testing Applications: A MODEL-AD Study

The ability to investigate therapeutic interventions in animal models of neurodegenerative diseases depends on extensive characterization of the model(s) being used. There are numerous models that have been generated to study Alzheimer's disease (AD) and the underlying pathogenesis of the disease. While transgenic models have been instrumental in understanding AD mechanisms and risk factors, they are limited in the degree of characteristics displayed in comparison with AD in humans, and the full spectrum of AD effects has yet to be recapitulated in a single mouse model. The Model Organism Development and Evaluation for Late-Onset Alzheimer's Disease (MODEL-AD) consortium was assembled by the National Institute on Aging (NIA) to develop more robust animal models of AD with increased relevance to human disease, standardize the characterization of AD mouse models, improve preclinical testing in animals, and establish clinically relevant AD biomarkers, among other aims toward enhancing the translational value of AD models in clinical drug design and treatment development. Here we have conducted a detailed characterization of the 5XFAD mouse, including transcriptomics, electroencephalogram, in vivo imaging, biochemical characterization, and behavioral assessments. The data from this study is publicly available through the AD Knowledge Portal.

Comprehensive Evaluation of the 5XFAD Mouse Model for Preclinical Testing Applications: A MODEL-AD Study

The ability to investigate therapeutic interventions in animal models of neurodegenerative diseases depends on extensive characterization of the model(s) being used. There are numerous models that have been generated to study Alzheimer's disease (AD) and the underlying pathogenesis of the disease. While transgenic models have been instrumental in understanding AD mechanisms and risk factors, they are limited in the degree of characteristics displayed in comparison with AD in humans, and the full spectrum of AD effects has yet to be recapitulated in a single mouse model. The Model Organism Development and Evaluation for Late-Onset Alzheimer's Disease (MODEL-AD) consortium was assembled by the National Institute on Aging (NIA) to develop more robust animal models of AD with increased relevance to human disease, standardize the characterization of AD mouse models, improve preclinical testing in animals, and establish clinically relevant AD biomarkers, among other aims toward enhancing the translational value of AD models in clinical drug design and treatment development. Here we have conducted a detailed characterization of the 5XFAD mouse, including transcriptomics, electroencephalogram, in vivo imaging, biochemical characterization, and behavioral assessments. The data from this study is publicly available through the AD Knowledge Portal.

Multidomain Intervention for Reversal of Cognitive Frailty, Towards a Personalized Approach (AGELESS Trial): Study Design

Background:

Cognitive frailty (CF) is identified as one of the main precursors of dementia. Multidomain intervention has been found to delay or prevent the onset of CF.

Objective:

The aim of our present study is to determine the effectiveness of a comprehensive, multidomain intervention on CF; to evaluate its cost effectiveness and the factors influencing adherence toward this intensive intervention.

Methods:

A total of 1,000 community dwelling older adults, aged 60 years and above will be screened for CF. This randomized controlled trial involves recruitment of 330 older adults with CF from urban, semi-urban, and rural areas in Malaysia. Multidomain intervention comprised of physical, nutritional, cognitive, and psychosocial aspects will be provided to participants in the experimental group (n = 165). The control group (n = 165) will continue their usual care with their physician. Primary outcomes include CF status, physical function, psychosocial and nutritional status as well as cognitive performance. Vascular health and gut microbiome will be assessed using blood and stool samples. A 24-month intensive intervention will be prescribed to the participants and its sustainability will be assessed for the following 12 months. The effective intervention strategies will be integrated as a personalized telerehabilitation package for the reversal of CF for future use.

Results:

The multidomain intervention developed from this trial is expected to be cost effective compared to usual care as well as able is to reverse CF.

Conclusion:

This project will be part of the World-Wide FINGERS (Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability) Network, of which common identifiable data will be shared and harmonized among the consortia.

The effects of education on cognition in older age: Evidence from genotyped Siblings

A growing literature has sought to tie educational attainment with later-life cognition and Alzheimer's disease outcomes. This paper leverages sibling comparisons in educational attainment as well as genetic predictors (polygenic scores) for cognition, educational attainment, and Alzheimer's disease to estimate effects of educational attainment on cognition in older age in the United Kingdom. We find that the effects of education on cognition are confounded by family background factors (~40%) and by genetics (<10%). After adjustments, we continue to find large effects of education. College graduates have cognition scores that are approximately 0.75 SD higher than those who report no credentials. We also find evidence that educational effects on cognition are smaller for those with high polygenic scores for Alzheimer's disease.

Towards a Redefinition of Cognitive Frailty

Background:

The progressive aging of the population will dramatically increase the burden of dementia related to Alzheimer’s disease (AD) and other neurodegenerative disorders in the future. Because of the absence of drugs that can modify the neuropathological substrate of AD, research is focusing on the application of preemptive and disease-modifying strategies in the pre-symptomatic period of the disease. In this perspective, the identification of people with cognitive frailty (CF), i.e., those individuals with higher risk of developing dementia, on solid pathophysiological bases and with clear operational clinical criteria is of paramount importance.

Objective/Methods:

This hypothesis paper reviews the current definitions of CF, presents and discusses some of their limitations, and proposes a framework for updating and improving the conceptual and operational definition of the CF construct.

Results:

The potential for reversibility of CF should be supported by the assessment of amyloid, tau, and neuronal damage biomarkers, especially in younger patients. Physical and cognitive components of frailty should be considered as separate entities, instead of part of a single macro-phenotype. CF should not be limited to the geriatric population, because trajectories of amyloid accumulation are supposed to start earlier than 65 years in AD. Operational criteria are needed to standardize assessment of CF.

Conclusion:

Based on the limitations of current CF definitions, we propose a revised one according to a multidimensional subtyping. This new definition might help stratifying CF patients for future trials to explore new lifestyle interventions or disease-modifying pharmacological strategies for AD and dementia.

Hospital Readmission Outcomes by Frailty Risk in Adults in Behavioral Health Acute Care

The purpose of the current retrospective study was to determine whether frailty is predictive of 30-day readmission in adults aged ≥50 years who were admitted with a psychiatric diagnosis to a behavioral health hospital from 2013 to 2017. A total of 1,063 patients were included. A 26-item frailty risk score (FRS-26-ICD) was constructed from electronic health record (EHR) data. There were 114 readmissions. Cox regression modeling for demographic characteristics, emergent admission, comorbidity, and FRS-26-ICD determined prediction of time to readmission was modest (incremental area under the receiver operating characteristic curve = 0.671). The FRS-26-ICD was a significant predictor of readmission alone and in models with demographics and emergent admission; however, only the Elixhauser Comorbidity Index was significantly related to hazard of readmission adjusting for other factors (adjusted hazard ratio = 1.26, 95% confidence interval [1.17, 1.37]; p < 0.001), whereas FRS-26-ICD became non-significant. Frailty is a relevant syndrome in behavioral health that should be further studied in risk prediction and incorporated into care planning to prevent hospital readmissions. [Journal of Psychosocial Nursing and Mental Health Services, xx(x), xx-xx.].

Cardiovascular Outcomes and Mortality Associated With Discontinuing Statins in Older Patients Receiving Polypharmacy

IMPORTANCE

Polypharmacy is a major health concern among older adults. While deprescribing may reduce inappropriate medicine use, its effect on clinical end points remains uncertain.

OBJECTIVE

To assess the clinical implications of discontinuing the use of statins while maintaining other drugs in a cohort of older patients receiving polypharmacy.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective, population-based cohort study included the 29 047 residents in the Italian Lombardy region aged 65 years or older who were receiving uninterrupted treatment with statins, blood pressure-lowering, antidiabetic, and antiplatelet agents from October 1, 2013, until January 31, 2015, with follow-up through June 30, 2018. Data were collected using the health care utilization database of Lombardy region in Italy. Data analysis was conducted from March to November 2020.

EXPOSURES

Cohort members were followed up to identify those who discontinued statins. Among this group, those who maintained other therapies during the first 6 months after statin discontinuation were 1:1 propensity score matched with patients who discontinued neither statins nor other drugs.

MAIN OUTCOME AND MEASURES

The pairs of patients discontinuing and maintaining statins were followed up from the initial discontinuation until June 30, 2018, to estimate the hazard ratios (HRs) and 95% CIs for fatal and nonfatal outcomes associated with statin discontinuation.

RESULTS

The full cohort inclued 29 047 patients exposed to polypharmacy (mean [SD] age, 76.5 [6.5] years; 18 257 [62.9%] men). Of them, 5819 (20.0%) discontinued statins while maintaining other medications, and 4010 (68.9%) of them were matched with a comparator. In the discontinuing group, the mean (SD) age was 76.5 (6.4) years, 2405 (60.0%) were men, and 506 (12.6%) had Multisource Comorbidity Scores of 4 or 5. In the maintaining group, the mean (SD) age was 76.1 (6.3) years, 2474 (61.7%) were men, and 482 (12.0%) had multisource comorbidity scores of 4 or 5. Compared with the maintaining group, patients in the discontinuing group had increased risk of hospital admissions for heart failure (HR, 1.24; 95% CI, 1.07-1.43) and any cardiovascular outcome (HR, 1.14; 95% CI, 1.03-1.26), deaths from any cause (HR, 1.15; 95% CI, 1.02-1.30), and emergency admissions for any cause (HR, 1.12; 95% CI, 1.05-1.19).

CONCLUSIONS AND RELEVANCE

In this study of patients receiving polypharmacy, discontinuing statins while maintaining other drug therapies was associated with an increase in the long-term risk of fatal and nonfatal cardiovascular outcomes.

Clinical and Objective Cognitive Measures for the Diagnosis of Cognitive Frailty Subtypes: A Comparative Study

Background

Cognitive frailty (CF) includes reversible and potentially reversible subtypes; the former is known as concurrent physical frailty (PF) and pre-mild cognitive impairment subjective cognitive decline (pre-MCI SCD), whereas the latter is known as concurrent PF and MCI. The diagnoses of pre-MCI SCD and MCI are based on clinical criteria and various subjective cognitive decline questionnaires. Heterogeneous assessment of cognitive impairment (CI) results in significant variability of CI, CF, and their subtype prevalence in various population-based studies.

Objective

This study aimed to compare the classification differences in CI and CF subtypes from PF and normal cognition by applying clinical and objective cognitive criteria. Clinical criteria comprised Fried PF and clinical MCI criteria combined with the SCD questionnaire, whereas objective criteria comprised Fried PF and objective cognitive criteria based on the norm-adjusted six neuropsychological test scores.

Methods

Of the 335 volunteers (age ≥ 60 years) in this study, 191 were diagnosed with CI based on clinical cognitive diagnosis criteria, and 144 were identified as robust normal based on objective cognitive assessment from the community-dwelling older adult cohort. Individuals with clinical CI, including 94 with MCI and 97 with pre-MCI SCD, were reclassified into different z-score-derived MCI, pre-MCI SCD, and normal subgroups based on objective cognitive criteria. The classification diagnostic accuracy of normal cognition, PF, pre-MCI, MCI, CF, and CF subtypes based on clinical and objective criteria was compared before and after adjusting for age, sex, and education level.

Results

The reclassification of objective assessments indicated better performance than that of clinical assessments in terms of discerning CI severity among different subgroups before adjusting for demographic factors. After covariate adjustment, clinical assessments significantly improved the ability to cognitively discriminate normal individuals from those with pre-MCI SCD and MCI but not the z-score-derived pre-MCI SCD and MCI groups from the robust normal group. Furthermore, the adjustment did not improve the ability to discriminate among individuals with reversible CF from those with potentially reversible CF and pre-MCI only SCD from MCI only SCD.

Conclusions

Objective criteria showed better performance than clinical criteria in the diagnosis of individuals with CI or CF subtypes. Rapid clinical cognitive screening in combination with normative z-scores criteria is cost effective and sustainable in clinical practice.

Demographically Corrected Normative Z Scores on the Neuropsychological Test Battery in Cognitively Normal Older Chinese Adults

BACKGROUND

Subjective questionnaires used for the diagnosis of pre-mild cognitive impairment (pre-MCI) and conventional criteria for MCI might mainly result in false-positive diagnostic errors. The integrated criteria based on demographically adjusted total and process Z scores on neuropsychological tests have been validated to be sensitive for measuring pre-MCI, MCI, and MCI subtypes. However, the underrepresentativity of Chinese populations and the complexity in some tests limit the use of the established Z scores in the elderly Chinese population.

OBJECTIVE

The aim of this study was to develop a useful Z score calculator to assess individual cognitive performance after adjustment of the scores on each of the neuropsychological tests according to sex, age, and education and to establish preliminary norms for the objective assessment of cognition function in elderly Chinese individuals.

METHODS

The neuropsychological test battery consists of measures of performance on different cognitive domains, including episodic memory, language, executive function, processing speed, and attention. Data were obtained from 220 clinically cognitively normal Chinese volunteers aged 60 years or older from the cohort of the Shanghai study of health promotion among frail elderly individuals. Regression models were used to investigate the impact of age, education, and sex on test scores. Z scores were estimated for the different scores by subtracting the predicted mean from the raw score and dividing it by the root mean square error term for any given linear regression model.

RESULTS

Preliminary analyses indicated that age, sex, or level of education significantly affected test scores. A series of linear regression models was constructed for all instruments, i.e.: the Trail-Making Test A and B, to assess executive function or attention; the Boston Naming Test and animal list generation, to assess language; delayed free correct responses and the Hopkins Verbal Learning Test-Revised (HVLT-R) recognition, as well as three process scores, i.e., intrusion errors, learning slope, and retroactive interference, from the HVLT-R, to assess memory, by adjusting for the covariates of age, sex, and level of education concurrently. The Z scores on all neuropsychological tests were estimated based on the corresponding regression coefficients.

CONCLUSIONS

We constructed a multivariable regression-based normative Z score method for the measurement of cognition among older Chinese individuals in the community. The normative score will be useful for the accurate diagnosis of different subtypes of pre-MCI and MCI after preliminary rapid screening in the community.

Physical and cognitive profiles in motoric cognitive risk syndrome in an older population from Southern Italy

BACKGROUND AND PURPOSE

In older age, physical and cognitive declines have been shown to occur simultaneously or consequent to one another, and several operational definitions have been proposed to consider the co-presence of the two declines; for example, "Motoric cognitive risk syndrome" (MCR) has been proposed as a definition for the coexistence of slow gait plus subjective cognitive complaints. Given the increasing interest in MCR and its potential role as both biomarker and therapeutic target, we aimed to estimate its prevalence in a large cohort of non-demented older subjects, and to examine the associations between physical status, global cognitive dysfunction, and impairment in various cognitive domains in MCR.

METHODS

A population-based sample of 1041 older people in Southern Italy (mean age 75.15 years) was enrolled. We defined MCR using slowness and a single question for subjective cognitive complaints. We also administered a comprehensive neuropsychological test battery, together with tests assessing physical function.

RESULTS

The prevalence of MCR was 9.9% (95% confidence interval 8.2-11.9). MCR was associated with decreased processing speed and executive function after adjusting for all relevant confounders. However, we found no significant association of MCR with decreased global cognition and immediate/delayed free recall of verbal memory. MCR was also associated with increased exhaustion, low muscle strength, and low physical activity, and increased levels of C-reactive protein and interleukin-6.

CONCLUSIONS

The present findings on MCR prevalence and associated cognitive and physical domains and inflammatory biomarkers may help to uncover altered pathways and therapeutic targets for intervention during the long preclinical phase of neurodegenerative dementia.

Physical Frailty and Cognitive Impairment in Older Adults in United States Nursing Homes

INTRODUCTION

In older US nursing home (NH) residents, there is limited research on the prevalence of physical frailty, its potential dynamic changes, and its association with cognitive impairment in older adults' first 6 months of NH stay.

METHODS

Minimum Data Set (MDS) 3.0 is the national database on residents in US Medicare-/Medicaid-certified NHs. MDS 3.0 was used to identify older adults aged ≥65 years, newly admitted to NHs during January 1, 2014, and June 30, 2016, with life expectancy ≥6 months at admission and NH length of stay ≥6 months (N = 571,139). MDS 3.0 assessments at admission, 3 months, and 6 months were used. In each assessment, physical frailty was measured by FRAIL-NH (robust, prefrail, and frail) and cognitive impairment by Brief Interview for Mental Status and Cognitive Performance Scale (none/mild, moderate, and severe). Demographic characteristics and diagnosed conditions were measured at admission, while presence of pain and receipt of psychotropic medications were at each assessment. Distribution of physical frailty and its change over time by cognitive impairment were described. A nonproportional odds model was fitted with a generalized estimation equation to longitudinally examine the association between physical frailty and cognitive impairment, adjusting for demographic and clinical characteristics.

RESULTS

Around 60% of older residents were physically frail in the first 6 months. Improvement and worsening across physical frailty levels were observed. Particularly, in those who were prefrail at admission, 23% improved to robust by 3 months. At admission, 3 months, and 6 months, over 37% of older residents had severe cognitive impairment and about 70% of those with cognitive impairment were physically frail. At admission, older residents with moderate cognitive impairment were 35% more likely (adjusted odds ratio [aOR]: 1.35, 95% confidence interval [CI]: 1.33-1.37) and those with severe impairment were 74% more likely (aOR: 1.74, 95% CI: 1.72-1.77) to be frail than prefrail/robust, compared to those with none/mild impairment. The association between the 2 conditions remained positive and consistently increased over time.

DISCUSSION/CONCLUSION

Physical frailty was prevalent in NHs with potential to improve and was strongly associated with cognitive impairment. Physical frailty could be a modifiable target, and interventions may include efforts to address cognitive impairment.

Cognitive impairment and physical frailty in older adults in secondary health care

OBJECTIVE

To analyze the association between cognitive impairment and physical frailty in older adults in secondary health care.

METHOD

This is a cross-sectional study carried out with people aged ≥ 60 years, assisted at a geriatric and gerontology outpatient clinic. For cognitive screening, the Mini Mental State Examination, the semantic verbal fluency test, and frailty assessment using the physical frailty phenotype were used. The likelihood ratio test was applied to the predictive model.

RESULTS

407 older adults participated in the study. Cognitive impairment was observed in 58.5% (n=238) of the sample, being higher in frail (n=66; 75%). A change in the semantic verbal fluency test was identified in 22% (n=90), with a higher prevalence in pre-frail patients (55.5%; n=226). It was identified 2.5 times more chance of a frail older person, when compared to a non-frail one, to have cognitive impairment (95% CI, +0.947 - 0.322). The chance for alteration in the semantic verbal fluency test was 5.4 times higher in frail compared to non-frail ones (95% CI, 1.68 - 0.38).

CONCLUSION

A relationship was observed between cognitive impairment and physical frailty. Screening for frailty in geriatric nursing practice and the implementation of specific care is recommended.

How gait influences frailty models and health-related outcomes in clinical-based and population-based studies: a systematic review

Aging is often associated with a decline in physical function that eventually leads to loss of autonomy in activities of daily living (ADL). Walking is a very common ADL, important for main determinants of quality of life in older age, and it requires the integration of many physiological systems. Gait speed has been described as the 'sixth vital sign' because it is a core indicator of health and function in aging and disease. We reviewed original studies up to June 2020 that assessed frailty in both longitudinal and cross-sectional observational studies, paying particular attention to how gait is measured in older population and how the gait parameter adopted may influence the estimated frailty models and the health-related outcomes of the various studies (i.e. clinical, cognitive, physical, and nutritional outcomes). Eighty-five studies met the search strategy and were included in the present systematic review. According to the frailty tools, more than 60% of the studies used the physical phenotype model proposed by Fried and colleagues, while one-third referred to multi-domain indexes or models and only 5% referred to other single-domain frailty models (social or cognitive). The great heterogeneity observed in gait measurements and protocols limited the possibility to directly compare the results of the studies and it could represent an important issue causing variability in the different outcome measures in both clinical-and population-based settings. Gait appeared to be an indicator of health and function also in frail older adults, and different gait parameters appeared to predict adverse health-related outcomes in clinical, cognitive, and physical domains and, to a lesser extent, in nutritional domain. Gait has the potential to elucidate the common basic mechanisms of cognitive and motor decline. Advances in technology may extend the validity of gait in different clinical settings also in frail older adults, and technology-based assessment should be encouraged. Combining various gait parameters may enhance frailty prediction and classification of different frailty phenotypes.

Cognitive Frailty and 30-Day Mortality in a National Cohort of Older Chinese Inpatients

Purpose

Studies exploring the association of cognitive frailty and mortality have been mainly based on community settings or nursing home settings. The aim of our study was to explore the association between cognitive frailty and 30-day mortality among older Chinese inpatients.

Patients and Methods

A national cohort study was performed in different hospitals in China. A baseline survey was conducted from October 2018 and February 2019. Trained investigators collected the 30-day mortality. Cognitive impairment and frailty were defined by the Mini-Cog and FRAIL scale, respectively. Multivariate regression was used to explore the association between cognitive impairment and frailty status with 30-day mortality.

Results

Of these participants, there were 3891 (41.91%) women and 5392 (58.09%) men, with an average age of 72.41 (SD=5.72). The prevalence of cognitive frailty was 5.44%. After adjusting for age, gender, education, depression and activities of daily living (ADL), the odds ratios (ORs) for 30-day mortality among inpatients were 3.43 (95% CI: 1.80-6.55) for cognitive frailty, 1.85 (95% CI: 1.01-3.41) for frailty only, and 1.43 (95% CI: 0.77-2.65) for cognitive impairment only compared to the reference group (neither frailty nor cognitive impairment). In addition, the discrimination of 30-day mortality was higher among patients with cognitive frailty (area under the curve =0.676 [95% CI: 0.621-0.731]) than either frailty (area under the curve =0.644 [95% CI: 0.594-0.694]) or cognitive impairment (area under the curve = 0.606 [95% CI: 0.556-0.655]) separately. Stratified analysis showed that these associations still existed when grouped by gender.

Conclusion

Our study found that Chinese inpatients with cognitive frailty had a higher risk of 30-day mortality than those without frailty and cognitive impairment, suggesting that clinicians should be encouraged to perform early screening of patients with frailty and cognitive impairment and carry out effective interventions to reverse cognitive frailty syndrome.

Cognitive deficit, physical frailty, hospitalization and emergency department visits in later life

OBJECTIVES

To examine the added effect of having both cognitive deficit and physical frailty, compared to having either one only, on hospitalization and emergency department (ED) visits.

METHODS

Data from a population-based study of 3,157 community-dwelling older (≥60 years) Chinese adults in the U.S. were used. Cognitive deficit was measured by the Mini-Mental State Examination (i.e. education-adjusted score: 16 [illiterate], 19 [primary school], and 23 [≥middle school]). Physical frailty was identified using the Short Performance Physical Battery (0-6 out of 15). The numbers of hospitalizations and ED visits in the previous two years were self-reported.

RESULTS

In this sample, 12.63% had cognitive deficit alone, 5.95% had physical frailty alone, and 4.26% had both. Compared with participants having neither cognitive deficit nor physical frailty, those having physical frailty alone were 1.5 times as likely to have hospitalizations (Rate Ratio [RR] = 1.52 [1.07, 2.16], p = 0.02) and ED visits (RR = 1.52 [1.07, 2.15], p = 0.02). Having cognitive deficit alone was not significantly related to either outcome. However, having cognitive deficit with existing physical frailty increased the likelihood of both hospitalization (RR = 2.00 [1.36, 2.96], p < 0.001) and ED visits (RR = 2.04 [1.37, 3.03], p < 0.001) to a greater extent than having physical frailty alone.

CONCLUSION

Having cognitive deficit alone was not significantly related to the likelihood of hospitalizations or ED visits, however having cognitive deficit with existing physical frailty increased the likelihood of both outcomes to a greater degree than having physical frailty alone. This suggests cognitive deficit and physical frailty have synergistic effects on hospitalizations and ED visits.

Frailty of the Heart Recipient

Frailty has been defined as a state of increased vulnerability due to a decline in the reserve and function of multiple physiological systems. Initially conceived as a geriatric syndrome indicative of physiological aging, it is now apparent that frailty can also be observed as a manifestation of chronic disease states including heart failure. Estimates of the prevalence of frailty in heart failure vary according to the age of the study population and the frailty instrument used, however multiple studies have identified frailty to be prevalent in patients with advanced heart failure including those who are referred for heart transplantation. Frailty is emerging as an independent predictor of mortality both before and after bridge-to-transplant ventricular assist device (BTT VAD) implantation and heart transplantation. Frailty is also predictive of prolonged hospitalization following these procedures. Heart failure-associated frailty is a dynamic state. While reversibility of frailty can be anticipated in younger heart failure patients, predicting the reversibility of frailty is more challenging in older patients who often have multiple comorbidities that may contribute to the frailty syndrome. Prehabilitation is a promising approach to both preventing and reversing frailty however more research is urgently needed to establish its effectiveness in mitigating the adverse impacts of frailty on post-VAD and posttransplant morbidity and mortality.

Influence of Imidazole-Dipeptides on Cognitive Status and Preservation in Elders: A Narrative Review

The worldwide increase in the number of patients with dementia is becoming a growing problem, while Alzheimer’s disease (AD), a primary neurodegenerative disorder, accounts for more than 70% of all dementia cases. Research on the prevention or reduction of AD occurrence through food ingredients has been widely conducted. In particular, histidine-containing dipeptides, also known as imidazole dipeptides derived from meat, have received much attention. Imidazole dipeptides are abundant in meats such as poultry, fish, and pork. As evidenced by data from recent human intervention trials conducted worldwide, daily supplementation of carnosine and anserine, which are both imidazole dipeptides, can improve memory loss in the elderly and reduce the risk of developing AD. This article also summarizes the latest researches on the biochemical properties of imidazole dipeptides and their effects on animal models associated with age-related cognitive decline. In this review, we focus on the results of human intervention studies using supplements of poultry-derived imidazole dipeptides, including anserine and carnosine, affecting the preservation of cognitive function in the elderly, and discuss how imidazole dipeptides act in the brain to prevent age-related cognitive decline and the onset of dementia.

An Association between Lower Extremity Function and Cognitive Frailty: A Sample Population from the KFACS Study

The present study aimed to define the physical function and lipid profile for physical and cognitive frailty in community-dwelling Korean older adults. A total of 229 participants (age = 76.76 ± 3.72 years; body mass index = 24.83 ± 3.15) were classified into four groups: robust, pre-frailty, cognitive decline, and cognitive frailty. An analysis on the four groups was performed to measure their physical and cognitive function, as well as blood biomarkers. The area under (AUC) the receiver operating characteristic curve (ROC) indicated that the 6-min Walk Test (6MWT), Timed Up and Go test (TUG), and Five Times Sit-to-Stand test (FTSS) had the potential to distinguish the capacity of an old adult to predict cognitive frailty. The 6MWT had a higher sensitivity and the TUG and FTSS tests had greater specificity. With cognitive frailty as a categorical variable, cognitive frailty status was a significant predictor of the TUG (odds ratio (OR) 2.897; 95% confidence interval (CI), 1.283–6.541), FTSS (OR 3.337; 95% CI 1.451–7.673), and 6MWT (OR 0.204; 95% CI 0.070–0.591) tests. Our findings indicate that the 6MWT, TUG, and FTSS tests are closely related to cognitive frailty and can provide potential prognostic cutoff points.

Physical Frailty, Multimorbidity, and All-Cause Mortality in an Older Population From Southern Italy: Results from the Salus in Apulia Study

OBJECTIVES

We first estimated the prevalence of physical frailty in older subjects from the population-based Salus in Apulia Study (Apulia, Southern Italy), and its impact on all-cause mortality. Second, we explored the relationship between multimorbidity and physical frailty.

DESIGN

Cross-sectional and longitudinal analyses from a population-based study.

SETTING AND PARTICIPANTS

We analyzed data from the Salus in Apulia study, a population-based sample of 1929 subjects aged 65 years and older.

METHODS

These older participants underwent clinical, physical, and laboratory assessments. Physical frailty was operationalized using slightly modified Fried criteria. Multimorbidity status was defined as the co-presence of 2 or more chronic conditions.

RESULTS

The overall prevalence of physical frailty in this older population from Southern Italy was 14.8% [95% confidence interval (CI): 13.26-16.49]. Physical frailty subjects were significantly older (P < .01), had a lower educational level (P < .01), increased executive dysfunction (P < .01), higher serum levels interleukin-6 (P < .01), and white blood cells (P = .01). Multimorbidity status (P < .01), diabetes mellitus (P = .05), peripheral age-related hearing loss (P < .01), cognitive impairment (P < .01), chronic obstructive pulmonary disease (P = .02), and metabolic syndrome (P = .02) were also directly related to physical frailty. Apathy increased according to the severity of physical frailty status (P = .02). There was a significant increased risk of all-cause mortality for physical frailty subjects (hazard ratio: 1.48; 95% CI: 1.03-2.12, adjusted for age and sex) during the observation from the date of enrollment to the date of death (mean ± SD: 55.70 ± 22.19 months, median: 54 months).

CONCLUSIONS AND IMPLICATIONS

Frailty is the consequence of the contributory action of the aging process and some chronic diseases that hasten some of the changes concurrent with aging.

Risk Factors for Delirium Are Different in the Very Old: A Comparative One-Year Prospective Cohort Study of 5,831 Patients

Background: In an ever-aging society, health care systems will be confronted with an increasing number of patients over 80 years ("the very old"). Currently, knowledge about and recommendations for delirium management are often based on studies in patients aged 60 to 65 years. It is not clear whether these findings apply to patients ≥80 years. Aim: Comparison of younger and older patients with delirium, especially regarding risk factors. Methods: In this prospective cohort study, within 1-year, 5,831 patients (18-80 years: n = 4,730; ≥80: n = 1,101) with delirium were enrolled. The diagnosis of delirium was based on the Delirium Observation screening scale (DOS), Intensive Care Delirium Screening Checklist (ICDSC) and a DSM (Diagnostic and Statistical Manual)-5 construct of nursing instrument. Sociodemographic trajectories, as well as the relevant predisposing and precipitating factors for delirium, were assessed via a multiple regression analysis. Results: The very old were more commonly admitted as emergencies (OR 1.42), had a greater mortality risk (OR 1.56) and displayed fewer precipitating risk factors for the development of a delirium, although the number of diagnoses were not different (p = 0.325). Predisposing factors were sufficient almost alone for the development of delirium in patients ≥ 80 years of age; in 18-80 years of age, additional precipitating factors had to occur to make a delirium possible. Conclusion: When relevant predisposing factors for delirium are apparent, patients over 80 years of age require comparatively few or no precipitating factors to develop delirium. This finding should be taken into account at hospitalization and may allow better treatment of delirium in the future.

Patient Frailty Is Independently Associated With the Risk of Hospitalization for Acute-on-Chronic Liver Failure

There is significant interest in identifying risk factors associated with acute-on-chronic liver failure (ACLF). In transplant candidates, frailty predicts wait-list mortality and posttransplant outcomes. However, the impact of frailty on ACLF development and mortality is unknown. This was a retrospective study of US veterans with cirrhosis identified between 2008 and 2016. First hospitalizations were characterized as ACLF or non-ACLF admissions. Prehospitalization patient frailty was ascertained using a validated score based on administrative coding data. We used logistic regression to investigate the impact of an increasing frailty score on the odds of ACLF hospitalization and short-term ACLF mortality. Cox regression was used to analyze the association between frailty and longterm survival from hospitalization. We identified 16,561 cirrhosis hospitalizations over a median follow-up of 4.19 years (interquartile range, 2.47-6.34 years). In adjusted models, increasing frailty score was associated with significantly increased odds of ACLF hospitalization versus non-ACLF hospitalization (odds ratio, 1.03 per point; 95% CI 1.02-1.03; P < 0.001). By contrast, frailty score was not associated with ACLF 28- or 90-day mortality (P = 0.13 and P = 0.33, respectively). In an adjusted Cox analysis of all hospitalizations, increasing frailty scores were associated with poorer longterm survival from the time of hospitalization (hazard ratio, 1.02 per 5 points; 95% confidence interval, 1.01-1.03; P = 0.004). Frailty increases the likelihood of ACLF hospitalization among patients with cirrhosis, but it does not impact short-term ACLF mortality. These findings have implications for clinicians caring for frail outpatients with cirrhosis, including tailored follow-up, risk mitigation strategies, and possible expedited transplant evaluation.

Cognitive frailty as a predictor of adverse outcomes among older adults: A systematic review and meta-analysis

OBJECTIVE

A systematic review and meta-analysis basing on the prospective cohort studies were conducted to explore the risk of all-cause mortality and dementia in cognitively frail older adults compared to robust older adults and to determine whether it was a predictor of adverse outcomes.

METHODS

Pubmed, Web of Science, The Cochrane Library, EMBASE, and CINAHL databases were searched to retrieve studies on adverse outcomes of cognitive frailty. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Stata 15.0 Software was used to perform the meta-analysis. The all-cause mortality and dementia were observed to be the primary outcomes, while the other data were considered as the secondary outcome.

RESULTS

A total of 14 studies were included in qualitative analysis and 12 studies were included in the meta-analysis, with low risk of bias and moderate to good methodological quality. The results showed that cognitive frailty in older people had a higher risk of all-cause mortality [HR = 1.93, 95%CI (1.67, 2.23), p < .001] and dementia [HR = 3.66, 95%CI (2.86, 4.70) as compared with robust. The subgroup analysis showed that the assessment tools were the main source of heterogeneity.

CONCLUSION

In older adults living in communities, the cognitive frailty was found to be a significant predictor of all-cause mortality and dementia. Nonetheless, cognitive frailty was found to be a better predictor of all-cause mortality and dementia than just frailty.

Prevalence and risk factors of the co-occurrence of physical frailty and cognitive impairment in Chinese community-dwelling older adults

This cross-sectional study aimed to determine the prevalence of the co-occurrence of physical frailty and cognitive impairment and to identify its associated demographic, psychosocial and behavioural factors. Participants were recruited from 32 neighbourhoods using multistage sampling method in Xuhui District, Shanghai, China. A total of 1585 older adults were included who lived in community, were 75 years or older and without a clinical diagnosis of dementia. Based on the presences of frailty (using the modified frailty phenotype criteria) and/or cognitive impairment (using Chinese version Mini-Mental Status Examination stratified by educational level), the participants were classified into four groups: normal, cognitive impairment alone, frailty alone and co-occurrence. Multinomial logistic regression analyses were conducted to identify the demographic, psychosocial (depression, social participation and social support) and behavioural (sedentary lifestyle and sleep problems) characteristics associated with the co-occurrence of physical frailty and cognitive impairment. The prevalence of frailty alone, cognitive impairment alone and the co-occurrence of physical frailty and cognitive impairment in the study sample were 7%, 26.94% and 7.19% respectively. The results of multinomial logistic regression show the following characteristics significantly associated with the co-occurrence of physical frailty and cognitive impairment: advanced age (81-85 years old, Odds Ratio, OR = 1.99, 95% CI = 1.10-3.59; 86 years or older, OR = 6.43, 95% CI = 3.66-11.29), number of co-morbidities (OR = 1.34, 95% CI = 1.01-1.77), depression (OR = 3.88, 95% CI = 2.39-6.29), social participation (OR = 0.61, 95% CI = 0.39-0.96), sedentary lifestyle (OR = 2.69, 95% CI = 1.66-4.34) and sleep problems (insomnia occasionally, OR = 1.84, 95% CI = 1.07-3.17; insomnia every day, OR = 2.38, 95% CI = 1.33-4.26). The co-occurrence of physical frailty and cognitive impairment is a prevalent health issue in oldest old community-dwelling older adults. Advanced age, co-morbidity, depression, sedentary lifestyle and sleep problems are risk factors for cognitive frailty while good social participation may have a protective effect on it.

Mesenchymal Stem Cell Transplantation for the Treatment of Cognitive Frailty

As life expectancy increases, frailty and cognitive impairment have become major factors influencing healthy aging in elderly individuals. Frailty is a complicated clinical condition characterized by decreased physiological reserve and multisystem abnormalities. Cognitive frailty is a subtype of frailty that has aroused widespread concern among the scientific community and public health organizations. We herein review the pathogenesis of cognitive frailty, such as chronic inflammatory response, immunological hypofunction, imbalanced oxidative stress, reduced regenerative function, endocrine dysfunction, and energy metabolism disorder. Although existing interventions show some therapeutic effects, they do not meet the current clinical needs. To date, studies using stem cell technology for treating age-related diseases have achieved remarkable success. This suggests the possibility of applying stem cell treatment to cognitive frailty. We analyzed stem cell-based strategies for targeting anti-inflammation, antioxidation, regeneration, and immunoregulation using mesenchymal stem cells, as well as potential therapeutic targets for cognitive frailty. Based on this investigation, we propose a highly effective and low-cost stem cell-based replacement strategy. However, there is a lack of comprehensive research on the prospect of stem cell transplantation for improving cognitive frailty. In this review, we aim to provide the scientific background and a theoretical basis for testing cell therapy in future research.

Physio-Cognitive Decline Syndrome as the Phenotype and Treatment Target of Unhealthy Aging

In this era of unprecedented longevity, healthy aging is an important public health priority. Avoiding or shortening the period of disability or dementia before death is critical to achieving the defining objectives of healthy aging, namely to develop and maintain functional capabilities that enable wellbeing in older age. The first step is to identify people who are at risk and then to implement effective primary interventions. Geriatricians have identified a distinct clinical phenotype of concurrent physical frailty and cognitive impairment, which predicts high risk of incident dementia and disability and is potentially reversible. Differing operational definitions for this phenotype include "cognitive frailty", "motoric cognitive risk syndrome" and the recently proposed "physio-cognitive decline syndrome (PCDS)". PCDS is defined as concurrent mobility impairment no disability (MIND: slow gait or/and weak handgrip) and cognitive impairment no dementia (CIND: ≥1.5 SD below the mean for age-, sex-, and education-matched norms in any cognitive domain but without dementia). By these criteria, PCDS has a prevalence of 10-15% among community-dwelling older persons without dementia or disability, who are at increased risk for incident disability (HR 3.9, 95% CI 3.0-5.1), incident dementia (HR 3.4, 95% CI 2.4-5.0) and all-cause mortality (HR 6.7, 95% CI 1.8-26.1). Moreover, PCDS is associated with characteristic neuroanatomic changes in the cerebellum and hippocampus, and their neurocircuitry, which are distinct from neuroimaging features in normal aging and common dementia syndromes. Basic research and longitudinal clinical studies also implicate a hypothetical muscle-brain axis in the pathoetiology of PCDS. Most important, community-dwelling elders with PCDS who participated in a multidomain intervention had significant improvements in global cognitive function, and especially in the subdomains of naming and concentration. Our proposed operational definition of PCDS successfully identifies an appreciable population of at-risk older people, establishes a distinct phenotype with an apparently unique pathoetiology, and is potentially reversible. We now need further studies to elucidate the pathophysiology of PCDS, to validate neuroimaging features and muscle-secreted microRNA biomarkers, and to evaluate the effectiveness of sustained multidomain interventions.

Pharmacological intervention in a transgenic mouse model improves Alzheimer's-associated pathological phenotype: Involvement of proteasome activation

Alzheimer's disease (AD) is the most common form of dementia worldwide, characterized by a progressive decline in a variety of cognitive and non-cognitive functions. The amyloid beta protein cascade hypothesis places the formation of amyloid beta protein aggregates on the first position in the complex pathological cascade leading to neurodegeneration, and therefore AD might be considered to be a protein-misfolding disease. The Ubiquitin Proteasome System (UPS), being the primary protein degradation mechanism with a fundamental role in the maintenance of proteostasis, has been identified as a putative therapeutic target to delay and/or to decelerate the progression of neurodegenerative disorders that are characterized by accumulated/aggregated proteins. The purpose of this study was to test if the activation of proteasome in vivo can alleviate AD pathology. Specifically by using two compounds with complementary modes of proteasome activation and documented antioxidant and redox regulating properties in the 5xFAD transgenic mice model of AD, we ameliorated a number of AD related deficits. Shortly after proteasome activation we detected significantly reduced amyloid-beta load correlated with improved motor functions, reduced anxiety and frailty level. Essentially, to our knowledge this is the first report to demonstrate a dual activation of the proteasome and its downstream effects. In conclusion, these findings open up new directions for future therapeutic potential of proteasome-mediated proteolysis enhancement.

Carnitine Serum Levels in Frail Older Subjects

Frailty is an expression that reconciles and condenses loss of autonomy, both physical and cognitive decline and a wide spectrum of adverse outcomes due to aging. The decrease in physical and cognitive activity is associated with altered mitochondrial function, and energy loss and consequently morbidity and mortality. In this cross-sectional study, we evaluated the carnitine levels in frailty status. The mean serum concentrations of total carnitine (TC) were lower in frail elderly subjects than in prefrail ones (p = 0.0006), higher in frail vs. robust subjects (p < 0.0001), and higher in prefrail vs. robust subjects (p < 0.0001). The mean serum concentrations of free carnitine (FC) were lower in frail elderly subjects than in prefrail ones (p < 0.0001), lower in frail vs. robust subjects (p < 0.0001) and lower in prefrail vs. robust subjects (p = 0.0009). The mean serum concentrations of acylcarnitine (AC) were higher in frail elderly subjects than in prefrail ones (p = 0.054) and were higher in pre-frail vs. robust subjects (p = 0.0022). The mean urine concentrations of TC were lower in frail elderly subjects than in prefrail ones (p < 0.05) and lower in frail vs. robust subjects (p < 0.0001). The mean urine concentrations of free carnitine were lower in frail elderly vs. robust subjects (p < 0.05). The mean urine concentrations of acyl carnitines were lower in frail elderly subjects than those in both prefrail (p < 0.0001) and robust subjects (p < 0.0001). Conclusion: high levels of carnitine may have a favorable effect on the functional status and may treat the frailty status in older subjects.

Prevalence of Cognitive Frailty, Do Psychosocial-Related Factors Matter?

Cognitive frailty (CF) is a topic of growing interest with implications for the study of preventive interventions in aging. Nevertheless, little research has been done to assess the influence of psychosocial variables on the risk of CF. Our objectives were to estimate the prevalence of CF in a Spanish sample and to explore the influence of psychosocial variables in this prevalence. Physical frailty and cognitive, functional, psychosocial, and socio-demographic aspects were assessed in a sample of 285 participants over 60 years. Univariate and multivariate logistic regression models were carried out. A prevalence of 21.8% (95% CI 17.4-26.9) was established when both frail and pre-frail conditions were included, and a prevalence of 3.2% (95% CI 1.7-5.9) if only frail individuals were considered. Age, educational level, profession and psychological well-being variables significantly predicted CF. Frailty and pre-frailty are high-prevalence health conditions in older adults influenced by socio-demographic, socio-educative and affective factors.

People Centeredness, Chronic Conditions and Diversity Sensitive eHealth: Exploring Emancipation of the 'Health Care System' and the 'Patient' in Health Informatics

Health care systems struggle to consistently deliver integrated high-quality, safe, and patient-centered care to all in an economically sustainable manner. Inequity of access to health care services and variation in diagnostic and treatment outcomes are common. Further, as health care systems become ever more complex, iatrogenesis and counter productivity have emerged as real dangers. In exploring this paradox, this paper considers a subset of those in society living with chronic conditions. Their attributes and circumstances have led to them being marginalized or excluded from ‘end-user’ engagement and/or from their requirements being incorporated into technology supported chronic disease management initiatives. Significantly, these citizens are often the most vulnerable and socially disadvantaged and tend to achieve poorer results and cost more per capita than the ‘average patient’ in their interactions with the health care system. Critically, this paper argues that a truly people-centered technology supported chronic care system can only be designed by understanding and responding to the needs, attributes and capabilities of the most vulnerable in society. This paper suggests innovative ways of supporting interactions with these ‘end-users’ and highlights how reflection on these approaches can contribute to emancipating the health system to move towards more socially inclusive eHealth solutions.

Nutritional domains in frailty tools: Working towards an operational definition of nutritional frailty

Different methods have been proposed for the assessment of the nutritional status in frailty phenotypes. In the present narrative review article, we have summarized the number and specifications of nutritional items in existing frailty tools, in order to develop a possible means of assessment and operational definition of the nutritional frailty phenotype. In six different databases until December 2019, we searched for original articles regarding frailty tools (i.e., scales, indexes, scores, questionnaires, instruments, evaluations, screening, indicators), analyzing each tool regarding nutritional items. We identified 160 articles describing 71 frailty tools. Among the selected frailty tools, 54 were community-based (70 %), 17 hospital-based (22 %), 4 validated in long-term care institutions for older adults (LTCIOA) (5.1 %) and 2 validated in both community- and hospital-based settings, including LTCIOA (2.5 %). Fifty-two of these tools (73 %) included at least one nutritional item. Twenty-two (42 %) reported two or more nutritional items. The items were grouped in the following categories: A) anthropometric measurements, B) laboratory measurements, and C) other nutritional-related measurements. Anthropometric measurements stood out compared to all other items. Nutritional items are included in the majority of frailty tools, strengthening the concept that they may have a direct implication on an increased risk of adverse health-related outcomes in frail subjects. This supports the development of the concept of nutritional frailty as an independent frailty phenotype. Subsequent steps will be to assess the contribution of each nutritional item to a possible operational definition of nutritional frailty and define the items that may best identify this new frailty phenotype.

Mild behavioral impairment is related to frailty in non-dementia older adults: a cross-sectional study

BACKGROUND

Frailty and cognitive decline are highly prevalent among older adults. However, the relationship between frailty and mild behavioral impairment (MBI), a dementia risk syndrome characterized by later-life emergence of persistent neuropsychiatric symptoms, has yet to be elucidated. We aimed to evaluate the associations between MBI and frailty in older adults without dementia.

METHODS

In this cross-sectional study, a consecutive series of 137 older adults without dementia in the Anti-Aging Study, recruited from primary care clinics, were enrolled. Frailty was estimated using the Fried phenotype. MBI was evaluated by the Mild Behavioral Impairment Checklist (MBI-C) at a cut-off point of > 8. Cognition was assessed with the Chinese versions of the Montreal Cognitive Assessment (MoCA-BC) and Mini-mental State Examination (MMSE). Multivariable logistic regression was performed to estimate the relationship between MBI and objective cognition with frailty status.

RESULTS

At baseline, 30.7% of the older adults had frailty and 18.2% had MBI (MBI+ status). Multivariable logistic regression analysis demonstrated that compared to those without MBI (MBI- status), MBI+ was more likely to have frailty (odds ratio [OR] = 7.44, 95% CI = 1.49-37.21, p = 0.02). Frailty and MBI were both significantly associated with both MMSE and MoCA-BC score (p < 0.05).

CONCLUSIONS

Both frailty and MBI status were associated with higher odds of cognitive impairment. MBI was significantly associated with an increased risk of having frailty in the absence of dementia. This association merits further study to identify potential strategies for the early detection, prevention and therapeutic intervention of frailty.