Fluctuations in frailty among older adults

Differential cross-lagged relations of frailty predicting later depression in older women versus men

This study aimed to investigate autoregressive and lagged associations over 2 years between frailty, depression and quality of life, and to examine sex differences in these longitudinal associations among European men and women aged ≥50 years. The analyses included 10,077 individuals (5589 women) from 12 European countries. Women attested to a higher frailty and depression score and lower quality of life than men. For both sexes, frailty and depression correlated positively cross-sectionally and longitudinally (2 years later), while quality of life correlated negatively with frailty and depression cross-sectionally and longitudinally. With regard to lagged associations, for both men and women, frailty proved to be a predictor of depression 2 years later. In turn, depression did not predict frailty and quality of life 2 years later in women, but it did among men.

Changes in frailty predict social vulnerability among home care clients living in the community followed for ten years

BACKGROUND

Among community dwelling older adults, social vulnerability increases with age. Advanced age alone does not fully explain how or why older adults become more socially vulnerable; frailty may offer a better explanation.

OBJECTIVE

We aimed to understand how change in frailty relates to change in social vulnerability over time.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

We analyzed older adults aged 65 years and older from the province of Nova Scotia who accessed publicly funded home care in 2005 and 2008 followed for up to ten years.

MEASUREMENTS

We measured social vulnerability and frailty using indices. Controlling for time constant covariates, multi-level growth modelling was used to evaluate whether within-person changes in frailty were associated with within person changes in social vulnerability, after accounting for between-person differences.

RESULTS

There were 2,791 older adults in the 2005 cohort and 2,741 older adults in the 2008 cohort. Mean age, frailty index and social vulnerability index were 80.6 years (SD 7.5), 0.23 (SD 0.10), 0.22 (SD 0.07) and 80.4 (SD 7.6), 0.23 (SD 0.10), and 0.23 (SD 0.07) for each cohort respectively. After accounting for age, sex and baseline frailty, a 0.1 point increase in change of FI from baseline was associated with a 0.017 (CI 0.016 - 0.019, p < 0.001) increase in SVI in the 2005 cohort and a 0.014 (CI 0.013 - 0.016, p < 0.001) increase in SVI in the 2008 cohort.

CONCLUSIONS

Although social vulnerability tends to remain constant in the absence of increases in frailty, changes in frailty are closely associated with changes in social vulnerability. Incorporating within-person changes in health into quantitative models of late-life social vulnerability may further improve our understanding of how and why some individuals are able to stay in the community despite their vulnerabilities.

Frailty and sarcopenia metabolomic signatures in kidney transplant candidates: the FRAILMar study

Background

Sarcopenia and frailty are often overlooked in assessing kidney transplant (KT) candidates with chronic kidney disease (CKD), potentially leading to poor post-transplant outcomes. This study aimed to identify metabolites associated with frailty and sarcopenia in KT candidates from the FRAILMar study.

Methods

Between June 2016 and June 2020, we evaluated frailty and sarcopenia in 173 KT candidates using the Physical Frailty Phenotype and EGWSOP-2 criteria, respectively. Seventy-five metabolic markers from targeted pathways, previously linked to CKD, sarcopenia or frailty, were measured in serum samples. These markers were analyzed using adjusted and weighted generalized linear models. Metabolomic data were integrated with multi-modal data, such as comorbidities, using a factor-based integration algorithm to identify metabolic phenotypes.

Results

Increased metabolites related to energy metabolism and essential amino acids were associated with frailty, mainly Krebs cycle intermediates. Sarcopenic KT candidates showed lower levels of aromatic amino acids, and lower protein/muscle metabolism, energy metabolism and neurotransmission compared with non-sarcopenic patients. Unsupervised multi-modal integration revealed a high-risk metabolic phenotype characterized by the presence of sarcopenia, diabetes mellitus and low body mass index, with alterations in branched-chain amino acids and high activity of lactate dehydrogenase enzyme.

Conclusions

Frailty and sarcopenia are common among KT candidates, and their metabolic status reveals notable disruptions in energy and amino acid metabolism. These findings highlight the value of a detailed metabolic assessment to more accurately evaluate patient health status prior to transplantation.

Association of 3-year change in frailty index with risk of all-cause mortality among older Chinese population: a national cohort study

BACKGROUND

Evidence on the association of dynamic change in frailty index (FI) with risk of all-cause mortality in the older Chinese population is limited. This study aimed to explore the association of 3-year change in FI with risk of all-cause mortality in an older Chinese population.

METHODS

We analyzed the data of 4969 participants from the Chinese Longitudinal Healthy Longevity Survey. The primary outcome was all-cause mortality, which was a binary variable and defined as completed data and censored data. Cox proportional-hazard models were used to assess the association of 3-year change in FI with risk of all-cause mortality by using hazard ratios (HRs) and 95% confidence intervals (CIs). Subgroup analyses were conducted to explore the association of 3-year change in FI with risk of all-cause mortality. Additionally, a restricted cubic spline analysis was also conducted to describe the dose-response association.

RESULTS

During a median of 4.08 years of follow-up, deaths were observed in 1388 participants. We observed a 1.27-fold higher risk of all-cause mortality with increase in FI ≥ 0.045 versus change in FI < 0.015 (HR = 2.27, 95% CI: 1.89-2.73). Similar significant associations were observed in the subgroup analyses by age, sex, and residence at baseline. Additionally, a nonlinear dose-response association of 3-year change in FI with risk of all-cause mortality was observed (P overall < 0.001 and P nonlinear < 0.001).

CONCLUSIONS

Excessive increase in FI was positively associated with an increased risk for all-cause mortality. Approaches to reducing FI may be of great significance in improving the health of older Chinese individuals.

Short-term Frailty Index Fluctuations in Older Adults: Noise or Signal?

BACKGROUND

Reversible short-term fluctuations in the frailty index (FI) are often thought of as representing only noise or error. Here, we assess (i) the size and source of short-term FI fluctuations, (ii) variation across sociodemographic characteristics, (iii) association with chronic diseases, (iv) correlation with age, frailty level, frailty change, and mortality, and (v) whether fluctuations reflect discrete health transitions.

METHODS

Nationwide, biweekly longitudinal data from 426 community-dwelling older adults (70+) were collected in the FRequent health Assessment In Later life (FRAIL70+) study using a measurement burst design (5 122 repeated observations, median of 13 repeated observations per person). We calculated the intraindividual standard deviation of the FI and used location-scale mixed regression models.

RESULTS

Mean intraindividual standard deviation was 0.04 (standard deviation = .03). Fluctuations were driven foremost by cognitive problems, somatic symptoms, and limitations in instrumental and mobility-related activities of daily living. Short-term fluctuations correlated with higher FI levels (r = 0.62), 1-year FI change (r = 0.26), and older age (+3% per year). Older adults who took to bed due to a health problem (+50%), those who had an overnight hospital stay (+50%), and those who died during follow-up (+44%) exhibited more FI fluctuations.

CONCLUSIONS

Short-term FI fluctuations were neither small nor random. Instead, as older adults become frailer, their measured health also becomes more unstable; hence, short-term fluctuations in overall health status can be seen as a concomitant phenomenon of the aging process. Researchers and clinicians should be aware of the existence of reversible fluctuations in the FI over weeks and months and its consequences for frailty monitoring.

Delirium and frailty in older adults: Clinical overlap and biological underpinnings

Frailty and delirium are two common geriatric syndromes sharing several clinical characteristics, risk factors, and negative outcomes. Understanding their interdependency is crucial to identify shared mechanisms and implement initiatives to reduce the associated burden. This literature review summarizes scientific evidence on the complex interplay between frailty and delirium; clinical, epidemiological, and pathophysiological commonalities; and current knowledge gaps. We conducted a PubMed systematic search in June 2023, which yielded 118 eligible articles out of 991. The synthesis of the results-carried out by content experts-highlights overlapping risk factors, clinical phenotypes, and outcomes and explores the influence of one syndrome on the onset of the other. Common pathophysiological mechanisms identified include inflammation, neurodegeneration, metabolic insufficiency, and vascular burden. The review suggests that frailty is a risk factor for delirium, with some support for delirium associated with accelerated frailty. The proposed unifying framework supports the integration and measurement of both constructs in research and clinical practice, identifying the geroscience approach as a potential avenue to develop strategies for both conditions. In conclusion, we suggest that frailty and delirium might be alternative-sometimes coexisting-manifestations of accelerated biological aging. Clinically, the concepts addressed in this review can help approach older adults with either frailty or delirium from a different perspective. From a research standpoint, longitudinal studies are needed to explore the hypothesis that specific pathways within the biology of aging may underlie the clinical manifestations of frailty and delirium. Such research will pave the way for future understanding of other geriatric syndromes as well.

Impact of frailty in older people on health care demand: simulation modelling of population dynamics to inform service planning

Background

As populations age, frailty and the associated demand for health care increase. Evidence needed to inform planning and commissioning of services for older people living with frailty is scarce. Accurate information on incidence and prevalence of different levels of frailty and the consequences for health outcomes, service use and costs at population level is needed.

Objectives

To explore the incidence, prevalence, progression and impact of frailty within an ageing general practice population and model the dynamics of frailty-related healthcare demand, outcomes and costs, to inform the development of guidelines and tools to facilitate commissioning and service development.

Study design and methods

A retrospective observational study with statistical modelling to inform simulation (system dynamics) modelling using routine data from primary and secondary health care in England and Wales. Modelling was informed by stakeholder engagement events conducted in Hampshire, England. Data sources included the Royal College of General Practitioners Research and Surveillance Centre databank, and the Secure Anonymised Information Linkage Databank. Population prevalence, incidence and progression of frailty within an ageing cohort were estimated using the electronic Frailty Index tool, and associated service use and costs were calculated. Association of frailty with outcomes, service use and costs was explored with multistate and generalised linear models. Results informed development of a prototype system dynamics simulation model, exploring population impact of frailty and future scenarios over a 10-year time frame. Simulation model population projections were externally validated against retrospective data from Secure Anonymised Information Linkage.

Study population

The Royal College of General Practitioners Research and Surveillance Centre sample comprised an open cohort of the primary care population aged 50 + between 2006 and 2017 (approx. 2.1 million people). Data were linked to Hospital Episode Statistics data and Office for National Statistics death data. A comparable validation data set from Secure Anonymised Information Linkage was generated.

Baseline measures

Electronic Frailty Index score calculated annually and stratified into Fit, Mild, Moderate and Severe frailty categories. Other variables included age, sex, Index of Multiple Deprivation score, ethnicity and Urban/rural.

Outcomes

Frailty transitions, mortality, hospitalisations, emergency department attendances, general practitioner visits and costs.

Findings

Frailty is already present in people aged 50-64. Frailty incidence was 47 cases per 1000 person-years. Frailty prevalence increased from 26.5% (2006) to 38.9% (2017). Older age, higher deprivation, female sex, Asian ethnicity and urban location independently predict frailty onset and progression; 4.8% of 'fit' people aged 50-64 years experienced a transition to a higher frailty state in a year, compared to 21.4% aged 75-84. Individual healthcare use rises with frailty severity, but Mild and Moderate frailty groups have higher overall costs due to larger population numbers. Simulation projections indicate frailty will increase by 7.1%, from 41.5% to 48.7% between 2017 and 2027, and associated costs will rise by £5.8 billion (in England) over an 11-year period.

Conclusions

Simulation modelling indicates that frailty prevalence and associated service use and costs will continue to rise in the future. Scenario analysis indicates reduction of incidence and slowing of progression, particularly before the age of 65, has potential to substantially reduce future service use and costs, but reducing unplanned admissions in frail older people has a more modest impact. Study outputs will be collated into a commissioning toolkit, comprising guidance on drivers of frailty-related demand and simulation model outputs.

Study registration

This study is registered as NCT04139278 www.clinicaltrials.gov.

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 16/116/43) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 44. See the NIHR Funding and Awards website for further award information.

Does Medical Insurance Integration Reduce Frailty Risk? Evidence From Rural Older Adults in China

OBJECTIVES

This study aimed to assess the impacts of China's health insurance integration reform on frailty among rural older adults.

METHODS

Nationally representative longitudinal data with 2,751 adults aged ≥60 years were analyzed from the China Health and Retirement Longitudinal Study 2011-2015. The integration of the rural New Cooperative Medical Scheme and urban Resident Basic Medical Insurance into the unified Urban and Rural Resident Basic Medical Insurance (URRBMI). Frailty Index (FI) summarizes 32 health deficits, quantifying frailty severity with a range of 0-1. Frailty is defined as FI ≥ 0.25, prefrailty as FI: 0.10-0.25, and robustness as FI < 0.10. Frailty worsening, stability, and improvement from 2011 to 2015 were assessed. Difference-in-differences and propensity score matched difference-in-differences models assessed URRBMI integration effects on frailty severity and risk (FI ≥ 0.25) among rural older adults.

RESULTS

URRBMI integration significantly reduced frailty severity by 15.16% and risk by 9.60% points among rural older adults. Reductions were greatest among initially prefrail individuals, with 27.49% lower frailty severity and a 17.62% point reduction in subsequent frailty onset risk after URRBMI integration. In contrast, no significant benefits were observed for initially robust or frail subgroups following integration. Analyses of frailty transitions corroborated selective benefits, with URRBMI integration lowering the risks of worsening frailty among prefrail but no significant reversal of frailty status among those initially frail or prefrail.

DISCUSSION

China's URRBMI integration selectively ameliorated frailty progression among rural older adults with prefrail status. Targeting integrated medical insurance policies toward high-risk populations may optimize frailty prevention effects.

Spousal education and frailty levels among Chinese older adults: A national longitudinal study

Background

Prior research has identified one's own education level as a risk factor for frailty. However, the association between spousal education and frailty in later life is uncertain. We aim to examine the longitudinal association between spousal education and frailty levels among Chinese older populations.

Methods

3856 participants aged 60 and older from the 2011-2018 China Health and Retirement Longitudinal Study were analyzed. A 54-item deficit cumulative frailty index was developed to evaluate frailty levels at each follow-up. Linear mixed-effects models were used to examine the longitudinal association of spousal education with frailty levels, and whether this association varied by sex and own education level.

Results

Higher spouse education was associated with lower frailty levels, and this association decreased with age. Compared with older adults whose spouses had no formal education, older adults whose spouses had less than middle school education had an 8.82 lower level of frailty (95% CI: 15.05 to -2.58, P < 0.01); those with spouses with middle school education and above had a 23.44 lower level (95% CI: 31.43 to -15.44, P < 0.001). Stratified analysis showed that every additional year of spouse education was also associated with lower frailty levels in non-frail participants at baseline, but stronger among those already frail. The association between high spousal education and lower frailty did not vary by sex or own education.

Conclusion

This study reveals a significant association between having a more educated spouse and lower later-life frailty levels for both older men and women, regardless of one's own educational background. It emphasizes the importance of leveraging educated spouses to prevent and manage frailty.

Marital transitions and frailty among middle-aged and older adults in China: The roles of social support

Background

This study explored the association of marital transitions and frailty among Chinese middle-aged and older people and whether this association differs by social support.

Methods

We used a sample of 12,388 adults aged ≥45 years who participated in the China Health and Retirement Longitudinal Study (CHARLS) between 2015 and 2018. Between-wave changes in marital status ("married at both times", "unmarried to married", "married to unmarried", "unmarried at both times") were used to explore the changes in frailty measured by the frailty index (FI), which was constructed from 55 health variables. Social support was evaluated based on social engagement and intergenerational support. The associations among marital transitions, social support and frailty were analyzed using generalized estimating equations (GEEs).

Results

The mean FI of 12,388 participants was 0.23 (SD = 0.13). Participants who were married to unmarried (β = 0.014, B = 0.005, P = 0.012) and unmarried at both times (β = 0.022, B = 0.003, P < 0.001) had significant a positive impact on FI compared with participants who were married at both times. Social engagement, financial support by children and providing care to grandchildren had an interactive effect with marital transitions in influencing FI.

Conclusions

Being unmarried may increase frailty among Chinese middle-aged and older adults. Financial support by children may mitigate the adverse effects of being unmarried on frailty.

Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology

Frailty is an age-related clinical condition characterised by an increased susceptibility to stressors and an elevated risk of adverse outcomes such as mortality. In the light of global population ageing, the prevalence of frailty is expected to soar in coming decades. This narrative review provides critical insights into recent developments and emerging practices in frailty research regarding identification, management, risk factors, and prevention. We searched journals in the top two quartiles of geriatrics and gerontology (from Clarivate Journal Citation Reports) for articles published between 01 January 2018 and 20 December 2022. Several recent developments were identified, including new biomarkers and biomarker panels for frailty screening and diagnosis, using artificial intelligence to identify frailty, and investigating the altered response to medications by older adults with frailty. Other areas with novel developments included exercise (including technology-based exercise), multidimensional interventions, person-centred and integrated care, assistive technologies, analysis of frailty transitions, risk-factors, clinical guidelines, COVID-19, and potential future treatments. This review identified a strong need for the implementation and evaluation of cost-effective, community-based interventions to manage and prevent frailty. Our findings highlight the need to better identify and support older adults with frailty and involve those with frailty in shared decision-making regarding their care.

Digital health technology combining wearable gait sensors and machine learning improve the accuracy in prediction of frailty

Background

Frailty is a dynamic and complex geriatric condition characterized by multi-domain declines in physiological, gait and cognitive function. This study examined whether digital health technology can facilitate frailty identification and improve the efficiency of diagnosis by optimizing analytical and machine learning approaches using select factors from comprehensive geriatric assessment and gait characteristics.

Methods

As part of an ongoing study on observational study of Aging, we prospectively recruited 214 individuals living independently in the community of Southern China. Clinical information and fragility were assessed using comprehensive geriatric assessment (CGA). Digital tool box consisted of wearable sensor-enabled 6-min walk test (6MWT) and five machine learning algorithms allowing feature selections and frailty classifications.

Results

It was found that a model combining CGA and gait parameters was successful in predicting frailty. The combination of these features in a machine learning model performed better than using either CGA or gait parameters alone, with an area under the curve of 0.93. The performance of the machine learning models improved by 4.3-11.4% after further feature selection using a smaller subset of 16 variables. SHapley Additive exPlanation (SHAP) dependence plot analysis revealed that the most important features for predicting frailty were large-step walking speed, average step size, age, total step walking distance, and Mini Mental State Examination score.

Conclusion

This study provides evidence that digital health technology can be used for predicting frailty and identifying the key gait parameters in targeted health assessments.

Extended-release metformin improves cognitive impairment in frail older women with hypertension and diabetes: preliminary results from the LEOPARDESS Study

BACKGROUND

Women have a high risk of frailty independently of age and menopause state. Diabetes and hypertension increase the risk of frailty and cognitive impairment. Metformin has been employed in post-menopausal women and some reports have shown encouraging effects in terms of attenuated frailty. However, the impact on cognitive performance of a recently introduced extended-release formulation of metformin has never been explored.

METHODS

We studied consecutive frail hypertensive and diabetic older women presenting at the ASL (local health authority of the Italian Ministry of Health) Avellino, Italy, from June 2021 to August 2022, who were treated or not with extended-release metformin. We included a control group of frail older males with diabetes and hypertension treated with extended-release metformin and a control group of frail older women with diabetes and hypertension treated with regular metformin.

RESULTS

A total of 145 patients successfully completed the study. At the end of the 6-month follow-up, we observed a significantly different cognitive performance compared to baseline in the group of frail women treated with extended-release metformin (p: 0.007). Then, we compared the follow-up groups and we observed significant differences between frail women treated vs. untreated (p: 0.041), between treated frail women and treated frail men (p: 0.016), and between women treated with extended-release metformin vs. women treated with regular metformin (p: 0.048). We confirmed the crucial role of extended-release metformin applying a multivariable logistic analysis to adjust for potential confounders.

CONCLUSIONS

We evidenced, for the first time to the best of our knowledge, the favorable effects on cognitive impairment of extended-release metformin in frail women with diabetes and hypertension.

Modified Frailty Index is an Independent Predictor of Death in the Burn Population: A Secondary Analysis of the Transfusion Requirement in Burn Care Evaluation (TRIBE) Study

Frailty can increase the risk of dying after suffering a severe injury. The Modified Frailty Index (MFI) was developed by the American College of Surgeons National Surgical Quality Improvement Program to determine the impact of frailty on outcomes. Our aim was to correlate frailty with survival following a burn injury using the 11-item and 5-item MFI. We performed a secondary analysis of the Transfusion Requirement in Burn Care Evaluation (TRIBE) study. Data including, age, gender, medical history, extent and severity of burn injury, inhalation injury and discharge disposition was collected from the TRIBE database. The 11-item MFI (MFI-11) and 5-item MFI (MFI-5) scores were calculated for all patients in the TRIBE database. The TRIBE database included 347 patients. The mean age of subjects was 43 ± 17 years. Mean total body surface area burn (TBSA) was 38 ± 18%, and 23% had inhalation injury. Multivariate logistic regression analysis determined that both MFI-5 (OR 1.86; 95% CI: 1.11-3.11; P-value .02) and MFI-11 (OR 1.83; 95% CI: 1.18-2.8; P-value .007) were independent predictors for mortality. Additionally, MFI-11 scores that are >1 were independently associated with a markedly increased risk of dying after a burn injury (OR 2.91; 95% CI: 1.1-7.7; P-value .03). The MFI can be used to identify vulnerable burn injured patients who are at high risk of dying.

Genetic and Environmental Influences on Longitudinal Frailty Trajectories From Adulthood into Old Age

BACKGROUND

Frailty is a complex, dynamic geriatric condition, but limited evidence has shown how genes and environment may contribute to its longitudinal changes. We sought to investigate sources of individual differences in the longitudinal trajectories of frailty, considering potential selection bias when including a sample of oldest-old twins.

METHODS

Data were from 2 Swedish twin cohort studies: a younger cohort comprising 1 842 adults aged 29-96 years followed up to 15 waves, and an older cohort comprising 654 adults aged ≥79 years followed up to 5 waves. Frailty was measured using the frailty index (FI). Age-based latent growth curve models were used to examine longitudinal trajectories, and extended to a biometric analysis to decompose variability into genetic and environmental etiologies.

RESULTS

A bilinear model with an inflection point at age 75 best described the data, indicating a fourfold to fivefold faster FI increase after 75 years. Twins from the older cohort had significantly higher mean FI at baseline but slower rate of increase afterward. FI level at age 75 was moderately heritable in both men (42%) and women (55%). Genetic influences were relatively stable across age for men and increasing for women, although the most salient amplification in FI variability after age 75 was due to individual-specific environmental influences for both men and women; conclusions were largely consistent when excluding the older cohort.

CONCLUSION

Increased heterogeneity of frailty in late life is mainly attributable to environmental influences, highlighting the importance of targeting environmental risk factors to mitigate frailty in older adults.

Cross-cultural adaptation and validation of the geriatric 8 screening tool in Chinese hospitalized older adults with cancer

OBJECTIVES

To translate, cross-culturally adapt, and validate the Geriatric 8 (G8) questionnaire in Chinese hospitalized older adults with cancer.

METHODS

The Chinese version of the G8 (C-G8) was produced following Brislin's guidelines. The psychometric properties of the C-G8 were evaluated among 296 eligible patients.

RESULTS

The content validity index of the C-G8 was 0.8∼1 at the item level and 0.975 at the scale level. The C-G8 identified more frail individuals among these older (>75 years) participants compared to their younger (65∼75 years) counterparts (frailty prevalence: 87.1% vs. 70.9%, P=0.010). The convergent validity of the C-G8 was tested by correlating it with the FRAIL scale (r=-0.592, P<0.001). The C-G8 had a lower internal consistency (Cronbach's α coefficient=0.501) but higher test-retest reliability and inter-rater reliability (intraclass correlation coefficient=0.913 and 0.993, respectively, P<0.001).

CONCLUSIONS

The C-G8 questionnaire presented acceptable validity and reliability and could be used in Chinese hospitalized older adults with cancer.

Trajectories of Intrinsic Capacity: Determinants and Associations with Disability

OBJECTIVES

Intrinsic capacity (IC) declines progressively with age, thereby increasing the risk of disability. However, it is less known whether IC trajectories are associated with disability. This study aims to identify the different patterns of IC trajectories in older people, and examine their determinants and associations with Instrumental Activities of Daily Living (IADL).

DESIGN

Cohort study.

SETTING

Community centres in different regions in Hong Kong.

PARTICIPANTS AND MEASUREMENTS

Longitudinal data from community-dwelling older people aged 60 years or above (n = 1371) collected between 2016 and 2021 was analysed. Their mean age was 74.5 years, and 78.7% of them were female. Repeated measurements of a set of 14 self-reported items were used to generate IC scores at four time points using a bi-factor model. Latent class growth analysis was performed to identify classes with distinct IC trajectories. The association between class membership and IADL disability was then examined using logistic regression.

RESULTS

Three distinct IC trajectories were identified. The 1st class included those with the highest level of baseline IC and the least declining trajectory, whereas the 3rd class was composed by those with the lowest level of baseline IC and the most declining trajectory. Older age, female gender, lower perceived financial adequacy, living in public or subsidized housing, and chronic diseases were associated with the 3rd class. After adjusting for demographic factors, socioeconomic status, and the number of chronic diseases, the 1st class was more likely to preserve IADL when compared against the 2nd class, with OR being 3.179 (95% CI: 2.152-4.793), whereas for the 3rd class, the OR was 0.253 (95% CI: 0.178-0.359).

CONCLUSION

Monitoring IC trajectories is of relevance to clinical practice, as it helps shift the focus from treating acute episodes of illness to preserving the functional ability of older people.

Are Skeletal Muscle Changes during Prolonged Space Flights Similar to Those Experienced by Frail and Sarcopenic Older Adults?

Microgravity exposure causes several physiological and psychosocial alterations that challenge astronauts' health during space flight. Notably, many of these changes are mostly related to physical inactivity influencing different functional systems and organ biology, in particular the musculoskeletal system, dramatically resulting in aging-like phenotypes, such as those occurring in older persons on Earth. In this sense, sarcopenia, a syndrome characterized by the loss in muscle mass and strength due to skeletal muscle unloading, is undoubtedly one of the most critical aging-like adverse effects of microgravity and a prevalent problem in the geriatric population, still awaiting effective countermeasures. Therefore, there is an urgent demand to identify clinically relevant biological markers and to underline molecular mechanisms behind these effects that are still poorly understood. From this perspective, a lesson from Geroscience may help tailor interventions to counteract the adverse effects of microgravity. For instance, decades of studies in the field have demonstrated that in the older people, the clinical picture of sarcopenia remarkably overlaps (from a clinical and biological point of view) with that of frailty, primarily when referred to the physical function domain. Based on this premise, here we provide a deeper understanding of the biological mechanisms of sarcopenia and frailty, which in aging are often considered together, and how these converge with those observed in astronauts after space flight.

Trajectories, Transitions, and Trends in Frailty among Older Adults: A Review

Frailty is an age-related clinical state associated with deterioration across multiple physiological systems and a leading cause of morbidity and mortality later in life. To understand how frailty develops and what causes its progression, longitudinal data with repeated frailty measurements are required. This review summarizes evidence from longitudinal studies on frailty trajectories, transitions, and trends. We identified several consistent findings: frailty increases with aging and is a dynamic condition, and more recent generations of older adults have higher frailty levels. These findings have both clinical and public health relevance, including the provision of healthcare and aged care services in the coming years. Further studies are required, particularly those conducted in low- and middle-income countries and those investigating factors associated with changes in frailty. The latter may help develop better-targeted interventions to reverse or slow the progression of frailty.

Frailty trajectory over one year among residential aged care (nursing home) residents

Objectives

Large population-based studies examining frailty trajectory found a linear increase in frailty over time. The pattern in which frailty changes over time for an individual person is less well-described. We examined the frailty trajectory of older adults living in aged-care in Australia.

Materials and methods

This secondary study used data from a randomised controlled trial involving 39 aged-care facilities in Australia. The trial intervention was an on-going pharmacist-led intervention occurring every 8 weeks over 12 months aimed at preventing medicine-induced deterioration and adverse reactions. Frailty was assessed using the Frailty Index. Participants were categorised as non-frail, pre-frail and frail. Individual frailty trajectory over 12 months was visualised using the alluvial plot. Case notes were examined to explore reasons for any rapid transitions in frailty status.

Results

A total of 248 participants was included. At baseline, 40.3% were non-frail and 59.7% were pre-frail. The proportion of participants who were non-frail and pre-frail decreased over time; 15.7% were frail at 6 months and 23.4% were frail at 12 months. Overall, twenty different combinations of frailty transitions were identified over 12 months. Retrospective analysis of case notes suggest that death or transition from non-frail to frail was often preceded by hospitalisation, falls, medication change or clinically significant deterioration in grip strength or cognition.

Conclusion

The degree of frailty increased over time, but there were variations in the individual trajectories. Regular monitoring of events that precede changes in frailty status is needed to identify strategies to prevent further deterioration in residents’ conditions.

Transitions between degrees of multidimensional frailty among older people admitted to intermediate care: a multicentre prospective study

Background

Frailty is a dynamic condition that is clinically expected to change in older individuals during and around admission to an intermediate care (IC) facility. We aimed to characterize transitions between degrees of frailty before, during, and after admission to IC and assess the impact of these transitions on health outcomes.

Methods

Multicentre observational prospective study in IC facilities in Catalonia (North-east Spain). The analysis included all individuals aged ≥ 75 years (or younger with chronic complex or advanced diseases) admitted to an IC facility. The primary outcome was frailty, measured by the Frail-VIG index and categorized into four degrees: no frailty, and mild, moderate, and advanced frailty. The Frail-VIG index was measured at baseline (i.e., 30 days before IC admission) (Frail-VIG₀), on IC admission (Frail-VIG₁), at discharge (Frail-VIG₂), and 30 days post-discharge (Frail-VIG₃).

Results

The study included 483 patients with a mean (SD) age of 81.3 (10.2) years. At the time of admission, 27 (5.6%) had no frailty, and 116 (24%), 161 (33.3%), and 179 (37.1%) mild, moderate, and severe frailty, respectively. Most frailty transitions occurred within the 30 days following admission to IC, particularly among patients with moderate frailty on admission. Most patients maintained their frailty status after discharge. Overall, 135 (28%) patients died during IC stay. Frailty, measured either at baseline or admission, was significantly associated with mortality, although it showed a stronger contribution when measured on admission (HR 1.16; 95%CI 1.10–1.22; p < 0.001) compared to baseline (HR 1.10; 1.05–1.15; p < 0.001). When including frailty measurements at the two time points (i.e., baseline and IC admission) in a multivariate model, frailty measured on IC admission but not at baseline significantly contributed to explaining mortality during IC stay.

Conclusions

Frailty status varied before and during admission to IC. Of the serial frailty measures we collected, frailty on IC admission was the strongest predictor of mortality. Results from this observational study suggest that routine frailty measurement on IC admission could aid clinical management decisions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03378-9.

Changes in the Severity of Frailty Among Older Adults After 12 Months of Supervised Home-Based Physical Exercise: A Randomized Clinical Trial

OBJECTIVE

To investigate the effects of 12 months of physiotherapist-supervised, home-based physical exercise on the severity of frailty and on the prevalence of the 5 frailty phenotype criteria, using secondary analyses.

DESIGN

Randomized clinical trial, with 1:1 allocation into 12-month home-based physical exercise, or usual care. The multicomponent exercise sessions (60 minutes) were supervised by the physiotherapist and included strength, balance, functional, and flexibility exercises twice a week at participants' homes.

SETTING AND PARTICIPANTS

Home-dwelling older adults aged ≥65 years who were frail (meeting 3-5 criteria) or prefrail (1-2 criteria) according to frailty phenotype criteria.

METHODS

The severity of frailty (nonfrail, prefrail, or frail) was assessed using frailty phenotype criteria, and the prevalence of each frailty criterion (weight loss, low physical activity, exhaustion, weakness, and slowness) were assessed at baseline and at 12 months.

RESULTS

Two hundred ninety-nine persons were included in the analyses, of whom 184 were prefrail and 115 were frail at baseline. Their mean age was 82.5 (SD 6.3) years, and 75% were women. There was a significant difference between the exercise and usual care groups' transitions to different frailty states from baseline to 12 months among those who at baseline were prefrail (P = .032) and frail (P = .009). At 12 months, the mean number of frailty criteria had decreased in the exercise group (-0.27, 95% CI -0.47, -0.08) and remained unchanged in the usual care group (0.01, 95% CI -0.16, 0.18; P = .042). The prevalence of the exhaustion (P = .009) and the low physical activity (P < .001) criteria were lower at 12 months in the exercise group than in the usual care group.

CONCLUSIONS AND IMPLICATIONS

The severity of frailty can be reduced through 12-month supervised home-based exercise training. Exercise should be included in the care of older adults with signs of frailty.

Frailty trajectory among community-dwelling middle-aged and older adults in Korea: evidence from the Korean Longitudinal Study of Aging

Background

There is no study on the frailty trajectory including both middle-aged and older people, and the understanding of the long-term frailty trajectory is insufficient. This study aimed to identify the frailty trajectory, subgroups of the frailty trajectory, and the predictors that differentiate these subgroups among community-dwelling middle-aged and older adults.

Methods

The participants were 9,775 individuals aged 45 years and older who participated in the Korean Longitudinal Study of Aging (2006–2018). Frailty was measured using a frailty instrument comprising three items: grip strength weakness, exhaustion, and social isolation. Latent growth curve modeling and latent class growth modeling were performed to identify the frailty trajectory and latent classes of the trajectory. Multinomial logistic regression was used to confirm the predictors that classified the latent classes.

Results

Over 12 years, the slope of the frailty trajectory among the participants showed a gradual increase. In addition, there was a difference in the latent class of frailty trajectories among middle-aged and older adults. The middle-aged participants were divided into two groups: maintaining robustness and changing from pre-frailty to robustness. The older adults were divided into three groups: maintaining robustness, maintaining pre-frailty, and changing from the frailty to pre-frailty group. Regular exercise, cognitive dysfunction, and social participation were significant predictors that differentiated each latent class in both middle-aged and older adults; additionally, current smoking and the number of chronic diseases were significant predictors in middle-aged people.

Conclusions

Various subgroups within the frailty trajectory existed among community-dwelling middle-aged and older adults. To reduce frailty, it is necessary to intervene with modifiable factors appropriate for each age group.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03229-7.

Association between residential greenspace structures and frailty in a cohort of older Chinese adults

Background

Frailty is a late-life clinical syndrome resulting from the accumulation of aging-induced decline. Greenspaces measured with normalized difference vegetation index (NDVI) are protective of frailty. However, NDVI is not as informative as structure indices in describing greenspaces' constitution, shape, and connectivity measured by the largest patch index (LPI), shape index, and cohesion index representing larger, more complex, and more dense greenspaces through higher values. We aim to study the association between greenness structures and frailty in a cohort of Chinese older adults.

Methods

We included older adults from 2008-2014 China Longitudinal Healthy Longevity Survey (CLHLS). We used greenspace indices from satellite to quantify structures (area-edge, shape, proximity) at county-level, and calculated frailty index (FI) as an outcome. We did cross-sectional analyses using linear and logistical regression, and longitudinal analyses using the generalized estimating equations (GEE).

Results

Among 8776 baseline participants, mean LPI, shape, cohesion, and FI are 7.93, 8.11, 97.6, and 0.17. In cross-sectional analyses, we find negative dose-response relationships for greenspace structures and frailty, especially in females, centenarians, illiterate people, city residents, unmarried people, and individuals with increased frailty. Participants living in the highest quartile of LPI, shape, and cohesion have 32% (95%CI: 21-42%), 35% (95%CI: 24-44%), and 37% (95%CI: 26%-46%) lower odds of frailty than the lowest quartile. However, we do not find a significant association in longitudinal analyses.

Conclusions

Higher levels of greenness structures (area-edge, shape, and proximity) might be related to lower frailty, while a clear longitudinal benefit cannot be identified in this analysis.

Variability and agreement of frailty measures and risk of falls, hospital admissions and mortality in TILDA

Little is known about the within-person variability of different frailty instruments, their agreement over time, and whether use of repeat assessments could improve the strength of associations with adverse health outcomes. Repeat measurements recorded in 2010–2011 (Wave 1) and 2012 (Wave 2) from The Irish Longitudinal Study on Ageing (TILDA) were used to classify individuals with frailty using the frailty phenotype (FP) and frailty index (FI). Within-person variability and agreement of frailty classifications were assessed using ANOVA and kappa (K) statistics, respectively. Associations of each frailty measure (wave 1, wave 2, or mean of both waves) with risk of falls, hospitalisations and all-cause mortality were assessed using logistic regression. Among 7455 individuals (mean age 64.7 [SD 9.9] years), within-person SD was 0.664 units (95% CI 0.654–0.671) for FP and 2 health deficits (SD 0.050 [0.048–0.051]) for FI. Agreement of frailty was modest for both measures, but higher for FI (K 0.600 [0.584–0.615]) than FP (K 0.370 [0.348–0.401]). The odds ratios (ORs) for all-cause mortality were higher for frailty assessed using the mean of two versus single measurements for FI (ORs for mortality 3.5 [2.6–4.9] vs. 2.7 [1.9–3.4], respectively) and FP (ORs for mortality 6.9 [4.6–10.3] vs. 4.0 [2.8–5.635], respectively). Frailty scores based on single measurements had substantial within-person variability, but the agreement in classification of frailty was higher for FI than FP. Frailty assessed using the mean of two or more measurements recorded at separate visits was more strongly associated with adverse health outcomes than those recorded at a single visit.

The relative impact of socioeconomic position and frailty varies by population setting

Introduction

Frailty and socioeconomic position (SEP) are well-established determinants of health. However, we know less about the contributions of frailty and SEP in older adults, especially in acute settings. We set out to answer how frailty and SEP might influence health outcomes in older people, comparing a population sample and patients managed by a speciality acute frailty service.

Methods

We used the Delirium and Population Health Informatics Cohort, a population sample of 1510 individuals aged ≥70 years from the London Borough of Camden and 1750 acute frailty patients. SEP was determined using the Index of Multiple Deprivation. Linear and Cox proportional hazard regression models were conducted to assess SEP on frailty, readmission, and mortality outcomes.

Results

In the population sample, SEP was significantly associated with frailty and mortality with successive increases in rate of death for each IMD quintile (HR = 1.28, 95% CI 1.11 to 1.49, P < 0.005). Increasing SEP, age, and admission status among hospitalized individuals were associated with greater frailty. For individuals seen by the speciality frailty service, SEP was not associated with frailty, mortality, or readmission.

Discussion

When older people experience acute illness severe enough to require secondary care, particularly specialist services, this overcomes any prior advantages conferred by a higher SEP.

Frailty in the oldest old: is the current level or the rate of change more predictive of mortality?

BACKGROUND

It is unclear whether frailty index (FI) change captures mortality risk better than and independently of the current FI level, i.e. whether a regular FI assessment among older adults provides additional insights for mortality risk stratification or not.

METHODS

We used data from the LASA 75-PLUS-study, which monitored health among 508 older adults (75+) between 2016 and 2019 every 9 months. Joint models for longitudinal and time-to-event data were used to assess the impact of both current FI and within-person FI change during the last year on mortality risk.

RESULTS

Twenty percent of the participants died during 4.5 years of follow-up. Adding within-person FI change to the current FI model improved model fit and it showed that FI increases during the last year were associated with an increase in mortality risk. Consequently, the effect of the current FI decreased considerably and became statistically non-significant.

CONCLUSIONS

The rate of FI change was more important than the current FI level for short-term mortality prediction among the oldest old, which highlights the benefits of regular frailty assessments.

Associations between frailty trajectories and frailty status and adverse outcomes in community-dwelling older adults

BACKGROUND

The association between frailty and adverse outcomes has been clearly defined. Frailty is associated with age, but different frailty evolution patterns might determine the incidence of adverse outcomes at older ages. So far, few observational studies have examined how distinct frailty trajectories could be associated with differences in the risk of adverse events and assessing whether frailty trajectories could define risk of death, hospitalization, worsening, and incident disability better than one-off assessment. Our hypothesis is that prospective increases in frailty levels are associated with higher risk of adverse events compared with subjects that prospectively decreased frailty levels.

METHODS

Participants' data were taken from the Toledo Study of Healthy Ageing. Frailty was evaluated using the Frailty Trait Scale 5 (FTS5), being 0 the lower (the most robust) and 50 the highest (the frailest) score. FTS5 scores at baseline and follow-up (median 5.04 years) were used to construct frailty trajectories according to group-based trajectory modelling (GBTM). Multivariate Cox proportional hazard and logistic regression models were used to explore associations between frailty status and trajectory membership and the adverse outcomes. Deaths were ascertained through the Spanish National Death Index. Disability was evaluated through the Katz Index. Hospitalization was defined as first admission to Toledo Hospital.

RESULTS

Nine hundred and seventy-five older adults (mean age 73.14 ± 4.69; 43.38% men) were included. GBTM identified five FTS5 trajectories: worsening from non-frailty (WNF), improving to non-frailty (INF), developing frailty (DF), remaining frail (RF), and increasing frailty (IF). Subjects belonging to trajectories of increasing frailty scores or showing consistently higher frailty levels presented with an increased risk of mortality {DF [hazard ratio (HR), 95% confidence interval (CI)] = 2.01 [1.21-3.32]; RF = 1.92 [1.18-3.12]; IF = 2.67 [1.48-4.81]}, incident [DF (HR, 95% CI) = 2.06 (1.11-3.82); RF = 2.29 (1.30-4.03); IF = 3.55 (1.37-9.24)], and worsening disability [DF (HR, 95% CI) = 2.11 (1.19-3.76); RF = 2.14 (1.26-3.64); IF = 2.21 (1.06-4.62)], compared with subjects prospectively showing decreases in frailty levels or maintaining low FTS5 scores. A secondary result was a significant dose-response relationship between baseline FTS5 score and adverse events.

CONCLUSIONS

Belonging to trajectories of prospectively increasing/consistently high frailty scores over time are associated with an increased risk of adverse outcomes compared with maintaining low or reducing frailty scores. Our results support the dynamic nature of frailty and the potential benefit of interventions aimed at reducing its levels on relevant and burdensome adverse outcomes.

The dynamics of frailty development and progression in older adults in primary care in England (2006-2017): a retrospective cohort profile

BACKGROUND

Frailty is a common condition in older adults and has a major impact on patient outcomes and service use. Information on the prevalence in middle-aged adults and the patterns of progression of frailty at an individual and population level is scarce. To address this, a cohort was defined from a large primary care database in England to describe the epidemiology of frailty and understand the dynamics of frailty within individuals and across the population. This article describes the structure of the dataset, cohort characteristics and planned analyses.

METHODS

Retrospective cohort study using electronic health records. Participants were aged ≥50 years registered in practices contributing to the Oxford Royal College of General Practitioners Research and Surveillance Centre between 2006 to 2017. Data include GP practice details, patient sociodemographic and clinical characteristics, twice-yearly electronic Frailty Index (eFI), deaths, medication use and primary and secondary care health service use. Participants in each cohort year by age group, GP and patient characteristics at cohort entry are described.

RESULTS

The cohort includes 2,177,656 patients, contributing 15,552,946 person-years, registered at 419 primary care practices in England. The mean age was 61 years, 52.1% of the cohort was female, and 77.6% lived in urban environments. Frailty increased with age, affecting 10% of adults aged 50-64 and 43.7% of adults aged ≥65. The prevalence of long-term conditions and specific frailty deficits increased with age, as did the eFI and the severity of frailty categories.

CONCLUSION

A comprehensive understanding of frailty dynamics will inform predictions of current and future care needs to facilitate timely planning of appropriate interventions, service configurations and workforce requirements. Analysis of this large, nationally representative cohort including participants aged ≥50 will capture earlier transitions to frailty and enable a detailed understanding of progression and impact. These results will inform novel simulation models which predict future health and service needs of older people living with frailty.

STUDY REGISTRATION

Registered on www.clinicaltrials.gov October 25th 2019, NCT04139278 .

Biomarkers shared by frailty and sarcopenia in older adults: A systematic review and meta-analysis

BACKGROUND

Physical frailty and sarcopenia show extensive clinical similarities. Whether biomarkers exist that are shared by the two conditions is presently unclear.

METHODS

We conducted a systematic review and meta-analysis of cross-sectional and longitudinal studies that investigated the association of frailty and/or sarcopenia with biomarkers as a primary or secondary outcome in adults aged 60 years and older. Only studies published in English that defined frailty using a validated scale and/or questionnaire and diagnosed sarcopenia according to the presence of muscle atrophy plus dynapenia or low physical function were included. Studies were identified from a systematic search of MEDLINE and SCOPUS databases from inception through August 2020. The quality of reporting of each study was assessed by using the Quality Assessment Tool for Observational Cohort, Cross-Sectional and Case-Control studies of the National Institute of Health. A meta-analysis was conducted when at least three studies investigated the same biomarker in both frailty and sarcopenia. Pooled effect size was calculated based on standard mean differences and random-effect models. Sensitivity analysis was performed based on age and the setting where the study was conducted.

RESULTS

Eighty studies (58 on frailty and 22 on sarcopenia) met the inclusion criteria and were included in the qualitative analysis. Studies on frailty included 33,160 community-dwellers, hospitalized, or institutionalized older adults (60-88 years) from 21 countries. Studies on sarcopenia involved 4904 community-living and institutionalized older adults (68-87.6 years) from 9 countries. Several metabolic, inflammatory, and hematologic markers were found to be shared between the two conditions. Albumin and hemoglobin were negatively associated with both frailty and sarcopenia. Interleukin 6 was associated with frailty and sarcopenia only in people aged < 75. Community-dwelling older adults with frailty and sarcopenia had higher levels of tumor necrosis factor alpha compared with their robust and non-sarcopenic counterparts.

CONCLUSIONS

A set of metabolic, hematologic, and inflammatory biomarkers was found to be shared by frailty and sarcopenia. These findings fill a knowledge gap in the quest of biomarkers for these conditions and provide a rationale for biomarker selection in studies on frailty and sarcopenia.

Partner loss and its effect on frailty trajectories: results from the 13-year follow-up Survey of Health, Ageing and Retirement in Europe (SHARE)

BACKGROUND

Frailty is a geriatric syndrome closely linked to a variety of adverse health outcomes. Thus, it is important to identify factors associated with the development of frailty. It was the aim of this study to examine, if, and to what extent partner loss, a highly stressful life event, affects frailty trajectories of community dwelling adults aged 50 or older.

METHODS

Using six waves of panel data from the Survey of Health, Ageing and Retirement in Europe (SHARE), we investigated the effect of partner loss on frailty trajectories estimating growth curve models. Our sample included 183 502 observations of 83 494 community-dwelling individuals aged 50 or older from 21 European countries collected between 2004 and 2017. Frailty was measured using the validated sex-specific SHARE-Frailty-Instrument including muscular weakness, unintended weight loss, decrease in walking capacity, low physical activity and exhaustion.

RESULTS

Our sample contained 79 874 participants who lived in a partnership during their entire observational period and 3620 participants who lost their partner during their observational period. Both men (β=0.184 (95% CI: -0.017 to 0.386), p=0.073) and women (β=0.237 (95% CI: 0.106 to 0.369), p<0.001) showed initial effects of partner loss on frailty, but while only women gradually recovered over time (β=-0.023 (95% CI: -0.039 to -0.008), p=0.002), among men, the effect of partner loss persisted (β<0.001 (95% CI: -0.029 to 0.029), p=0.998).

CONCLUSION

This study revealed that partner loss is followed by elevated frailty. However, while women's frailty tended to recover from partner loss over time, men's frailty remained elevated. Notable individual differences in the response of frailty trajectories to partner loss suggest the existence of effect modifiers.

Trajectories of phenotypical frailty over a decade in young-old community-dwelling adults: results from the Lc65+ study

BACKGROUND

Few studies have examined the frailty trajectories of young-old adults using Fried frailty phenotype. Dropouts due to death were rarely taken into account. This longitudinal study aimed to identify trajectories with and without adjustment for non-random attrition and to analyse related factors.

METHODS

We used the first two samples of community-dwelling people in the Lausanne cohort 65+. Frailty phenotype was assessed at age 66-71 years and every third year over 10 years. A group-based trajectory modelling-first without and then with adjustment for non-random attrition-identified trajectories among all individuals with at least two observations (n=2286), excluding dropouts for reasons other than death. Multinomial logistic regressions estimated independent effects of participants' baseline characteristics.

RESULTS

We identified three frailty trajectories (low, medium and high). Participants in the highest trajectory had a higher mortality over 10 years. (Pre)frailty at baseline was the main factor associated with adverse trajectories. Smoking, obesity, comorbidity and negative self-perceived health were associated with unfavourable trajectories independently of baseline frailty, while social engagement was related to the lowest frailty trajectory. Ignoring transitions to death attenuated the estimated effects of age on trajectories.

CONCLUSIONS

Fried frailty phenotype should be assessed in individuals aged late 60s as it is strongly associated with frailty trajectories in the following decade of their life. Lifetime prevention of behavioural risk factors such as smoking and obesity is the strategy most likely to influence the development of frailty in older populations. Furthermore, our results underline social engagement as an important area of interest for future research.

Acute Effects of Low- and High-Speed Resistance Exercise on Cognitive Function in Frail Older Nursing-Home Residents: A Randomized Crossover Study

Aim

The present study investigated the acute effects of low- and high-speed resistance exercise on the cognitive function of frail older women living in nursing home.

Materials and Methods

Ten institutionalized frail older women were recruited. Rey Auditory Verbal Learning Test and Stroop test were performed before, immediately after, 1 h after, and 24 h after the end of the experimental session. Participants randomly performed low- and high-speed resistance exercise and a control session. Exercise sessions were composed of 4 resistance exercises with 4–8 sets of 4–10 repetitions at moderate intensity.

Results

Results indicated that the performance of Rey Auditory Verbal Learning Test was similarly increased immediately after both low- and high-speed resistance exercises. However, only improvements elicited by low-speed resistance exercise remained significant 1 h after the end of the exercise session. No acute effects of resistance exercise were observed on Stroop performance.

Conclusion

Our findings indicated that both low- and high-speed resistance exercises acutely increased episodic memory in frail older women, whereas no changes on Stroop were observed.

Evidence-based recommendations for resistance and power training to prevent frailty in community-dwellers

Frailty is a reversible state of reduced resilience to stressful events resulting from a multisystem impairment of the human body. As frailty progresses, people become more vulnerable to numerous adverse events, including falls and fractures, cognitive decline, disability, hospitalization, nursing home placement, and death. As such, substantial health care costs are associated with frailty. These features have led to the recognition of frailty as a public health problem. The identification of strategies for the management of frailty has, therefore, become a topic of extensive instigation. In this context, resistance (RT) and power training (PT) have received considerable attention, and experts in the field have recently suggested that both training modalities may improve frailty-related parameters. However, most studies have only included robust people and investigated frailty as a secondary outcome, so that current literature only allows RT and PT preventive programs against frailty to be designed. Here, we provide evidence-based critical recommendations for the prescription of RT and PT programs against incident frailty in community-dwellers.

Informing patterns of health and social care utilisation in Irish older people according to the Clinical Frailty Scale

Background: There is increasing policy interest in the consideration of frailty measures (rather than chronological age alone) to inform more equitable allocation of health and social care resources. In this study the Clinical Frailty Scale (CFS) classification tree was applied to data from The Irish Longitudinal Study on Ageing (TILDA) and correlated with health and social care utilisation. CFS transitions over time were also explored. Methods: Applying the CFS classification tree algorithm, secondary analyses of TILDA data were performed to examine distributions of health and social care by CFS categories using descriptive statistics weighted to the population of Ireland aged ≥65 years at Wave 5 (n=3,441; mean age 74.5 (SD ±7.0) years, 54.7% female). CFS transitions over 8 years and (Waves 1-5) were investigated using multi-state Markov models and alluvial charts. Results: The prevalence of CFS categories at Wave 5 were: 6% 'very fit', 36% 'fit', 31% 'managing well', 16% 'vulnerable', 6% 'mildly frail', 4% 'moderately frail' and 1% 'severely frail'. No participants were 'very severely frail' or 'terminally ill'. Increasing CFS categories were associated with increasing hospital and community health services use and increasing hours of formal and informal social care provision. The transitions analyses suggested CFS transitions are dynamic, with 2-year probability of transitioning from 'fit' (CFS1-3) to 'vulnerable' (CFS4), and 'fit' to 'frail' (CFS5+) at 34% and 6%, respectively. 'Vulnerable' and 'frail' had a 22% and 17% probability of reversal to 'fit' and 'vulnerable', respectively. Conclusions: Our results suggest that the CFS classification tree stratified the TILDA population aged ≥65 years into subgroups with increasing health and social care needs. The CFS could be used to aid the allocation of health and social care resources in older people in Ireland. We recommend that CFS status in individuals is reviewed at least every 2 years.

Acceleration of health deficit accumulation in late-life: evidence of terminal decline in frailty index three years before death in the US Health and Retirement Study

BACKGROUND

Little is known about within-person frailty index (FI) changes during the last years of life. In this study, we assess whether there is a phase of accelerated health deficit accumulation (terminal health decline) in late-life.

MATERIAL AND METHODS

A total of 23,393 observations from up to the last 21 years of life of 5713 deceased participants of the AHEAD cohort in the Health and Retirement Study were assessed. A FI with 32 health deficits was calculated for up to 10 successive biannual, self- and proxy-reported assessments (1995-2014), and FI changes according to time-to-death were analyzed with a piecewise linear mixed model with random change points.

RESULTS

The average normal (preterminal) health deficit accumulation rate was 0.01 per year, which increased to 0.05 per year at approximately 3 years before death. Terminal decline began earlier in women and was steeper among men. The accelerated (terminal) rate of health deficit accumulation began at a FI-value of 0.29 in the total sample, 0.27 for men, and 0.30 for women.

CONCLUSION

We found evidence for an observable terminal health decline in the FI following declining physiological reserves and failing repair mechanisms. Our results suggest a conceptually meaningful cut-off value for the continuous FI around 0.30.

Frailty Changes Predict Mortality in 4 Longitudinal Studies of Aging

BACKGROUND

Baseline frailty index (FI) values have been shown to predict mortality among older adults, but little is known about the effects of changes in FI on mortality.

METHODS

In a coordinated approach, we analyzed data from 4 population-based cohorts: the Health and Retirement Study (HRS), the Survey of Health, Ageing and Retirement in Europe (SHARE), the English Longitudinal Survey of Ageing (ELSA), and the Longitudinal Aging Study Amsterdam (LASA), comprising a total of 24 961 respondents (65+), 95 897 observations, up to 9 repeated FI assessments, and up to 23 years of mortality follow-up. The effect of time-varying FI on mortality was modeled with joint regression models for longitudinal and time-to-event data.

RESULTS

Differences (of 0.01) in current FI levels (hazard ratio [HR] = 1.04, 95% credible interval [CI] = 1.03-1.05) and baseline FI levels (HR = 1.03, 95% CI = 1.03-1.05) were consistently associated with mortality across studies. Importantly, individuals with steeper FI growth also had a higher mortality risk: An increase in annual FI growth by 0.01 was associated with an increased mortality risk of HR = 1.56 (95% CI = 1.49-1.63) in HRS, HR = 1.24 (95% CI = 1.13-1.35) in SHARE, HR = 1.40 (95% CI = 1.25-1.52) in ELSA, and HR = 1.71 (95% CI = 1.46-2.01) in LASA.

CONCLUSIONS

FI changes predicted mortality independently of baseline FI differences. Repeated assessment of frailty and individual's frailty trajectory could provide a means to anticipate further health deterioration and mortality and could thus support clinical decision making.

Visualizing Inequality in Health and Socioeconomic Wellbeing in the EU: Findings from the SHARE Survey

The main objective of this paper is to visualize profiles of older Europeans to better understand differing levels of dependency across Europe. Data comes from wave 6 of the Survey of Health, Ageing and Retirement in Europe (SHARE), carried out in 18 countries and representing over 124 million aged individuals in Europe. Using the information of around 30 mixed-type variables, we design four composite indices of wellbeing for each respondent: self-perception of health, physical health and nutrition, mental agility, and level of dependency. Next, by implementing the k-prototypes clustering algorithm, profiles are created by combining those indices with a collection of socio-economic and demographic variables about the respondents. Five profiles are established that segment the dataset into the least to the most individuals at risk of health and socio-economic wellbeing. The methodology we propose is wide enough to be extended to other surveys or disciplines.

Care Professionals Manage the Future, Frail Older Persons the Past. Explaining Why Frailty Management in Primary Care Doesn't Always Work

Frailty management focuses on optimizing the physical and psychological functioning of older people with frail health through early risk identification and intervention in primary care. Such care programs demand a joint effort by primary care professionals and older persons, one in which professionals are expected to promote or facilitate self-management practices and older persons are expected to adhere to the professional advice. It is known that patients and professionals hold different perspectives on frailty, but we know little about how this may affect their cooperation in frailty management. In this article, we therefore study how different perspectives of older persons and their primary care professionals play a role frailty management in practice. Nine cases of frailty management were reconstructed through semi-structured interviews with older persons, their family doctor and practice nurse. Drawing from literature on managing complex problems, we analyzed how "factual" and "normative" orientations played a role in their perspectives. We observe that the perspectives of care professionals and older persons on frailty management were substantially different. Both actors "manage" frailty, but they focus on different aspects of frailty and interestingly, care professionals' rationale is future-oriented whereas older person's rationale past-oriented. Primary care professionals employed practices to manage the medical and social factors of frailty in order to prevent future loss. Older persons employed practices to deal with the psychological, emotional and social aspects of the different types of loss they already experienced, in order to reconcile with loss from the past in the present. These findings raise fundamental questions regarding the different perceptions of and priorities around not only care for frail older people in general, but also implied professional-patient relations and the value of a risk-management approach to care for older people with frail health. The distinction between these perspectives could help care professionals to better respond to older patients' preferences and it could empower older persons to voice preferences and priorities that might not fit within the proposed care program.

A Systematic Review of Frailty Trajectories: Their Shape And Influencing Factors

BACKGROUND AND OBJECTIVES

Frailty describes an increased vulnerability to adverse events such as disease or injury. Combatting this state remains a major challenge for geriatric research. By exploring how and why frailty changes throughout later life we will be better positioned to improve ways of identifying and treating those at high risk.

RESEARCH DESIGN AND METHODS

We systematically reviewed publications that captured rate of frailty progression over time and established any associated risk or protective factors that affected this progression. We included longitudinal observational studies which quantified frailty trajectories in adults aged 50+ using any validated continuous frailty measurement tool.

RESULTS

After screening 8,318 publications, 25 met our criteria. Findings show that despite a great degree of heterogeneity in the literature, progression of frailty is unquestionably affected by numerous risk and protective factors, with particular influence exhibited by social demographics, brain pathology, and physical co-morbidities.

DISCUSSION AND IMPLICATIONS

Findings that the gradient of frailty progression is affected by various influencing factors are valuable to clinicians and policymakers as will help identify those at highest frailty risk and inform prevention strategies. However, the heterogeneous methodological approaches of the publications included in this review highlights the need for consensus within the field to promote more coordinated research. Improved consistency of methods will enable further data synthesis and facilitate a greater understanding of the shape of frailty over time and the influencing factors contributing to change, the results of which could have crucial implications for frailty risk reduction.

Measurement of Dynamical Resilience Indicators Improves the Prediction of Recovery Following Hospitalization in Older Adults

OBJECTIVES

Acute illnesses and subsequent hospital admissions present large health stressors to older adults, after which their recovery is variable. The concept of physical resilience offers opportunities to develop dynamical tools to predict an individual's recovery potential. This study aimed to investigate if dynamical resilience indicators based on repeated physical and mental measurements in acutely hospitalized geriatric patients have added value over single baseline measurements in predicting favorable recovery.

DESIGN

Intensive longitudinal study.

SETTING AND PARTICIPANTS

121 patients (aged 84.3 ± 6.2 years, 60% female) admitted to the geriatric ward for acute illness.

MEASUREMENTS

In addition to preadmission characteristics (frailty, multimorbidity), in-hospital heart rate and physical activity were continuously monitored with a wearable sensor. Momentary well-being (life satisfaction, anxiety, discomfort) was measured by experience sampling 4 times per day. The added value of dynamical indicators of resilience was investigated for predicting recovery at hospital discharge and 3 months later.

RESULTS

31% of participants satisfied the criteria of good recovery at hospital discharge and 50% after 3 months. A combination of a frailty index, multimorbidity, Clinical Frailty Scale, and or gait speed predicted good recovery reasonably well on the short term [area under the receiver operating characteristic curve (AUC) = 0.79], but only moderately after 3 months (AUC = 0.70). On addition of dynamical resilience indicators, the AUC for predicting good 3-month recovery increased to 0.79 (P = .03). Variability in life satisfaction and anxiety during the hospital stay were independent predictors of good 3-month recovery [odds ratio (OR) = 0.24, P = .01, and OR = 0.54, P = .04, respectively].

CONCLUSIONS AND IMPLICATIONS

These results highlight that measurements capturing the dynamic functioning of multiple physiological systems have added value in assessing physical resilience in clinical practice, especially those monitoring mental responses. Improved monitoring and prediction of physical resilience could help target intensive treatment options and subsequent geriatric rehabilitation to patients who will most likely benefit from them.

If my muscle could talk: Myokines as a biomarker of frailty

Frailty is a potentially reversible state of increased vulnerability to negative health-related outcomes that occurs as a result of multisystem biological impairment and environmental aspects. Given the relevance of this condition in both clinics and research, biomarkers of frailty have been actively sought after. Although several candidate biomarkers of frailty have been identified, none of them has yet been incorporated in the assessment or monitoring of the condition. Over the last years, increasing research interest has been focused on myokines, a set of cytokines, small proteins and proteoglycan peptides that are synthetized, expressed and released by skeletal myocytes in response to muscular contractions. Myokines may act in autocrine, paracrine, and endocrine manner and regulate several processes associated with physical frailty, including muscle wasting, dynapenia, and slowness. This review discusses the rationale to support the use of myokines as biomarkers of frailty in older adults.

The metabolomics side of frailty: Toward personalized medicine for the aged

Frailty encompasses several domains (i.e., metabolic, physical, cognitive). The multisystem derangements underlying frailty pathophysiology, its phenotypic heterogeneity, and the fluctuations of individuals across severity states have hampered a comprehensive appraisal of the condition. Circulating biomarkers emerged as an alleged tool for capturing this complexity and, as proxies for organismal metabolic changes, may hold the advantages of: 1) supporting diagnosis, 2) tracking the progression, 3) assisting healthcare professionals in clinical and therapeutic decision-making, and 4) verifying the efficacy of an intervention before measurable clinical manifestations occur. Among available analytical tools, metabolomics are able to identify and quantify the (ideally) whole repertoire of small molecules in biological matrices (i.e., cells, tissues, and biological fluids). Results of metabolomics analysis may define the final output of genome-environment interactions at the individual level. This entire collection of metabolites is called "metabolome" and is highly dynamic. Here, we discuss how monitoring the dynamics of metabolic profiles may provide a read-out of the environmental and clinical disturbances affecting cell homeostasis in frailty-associated conditions.