Changes in the severity and lethality of age-related health deficit accumulation in the USA between 1999 and 2018: a population-based cohort study

Joint association of frailty index and biological aging with all-cause and cause-specific mortality: a population-based longitudinal cohort study

BACKGROUND

The role of frailty in all-cause, cardiovascular, and cancer mortality is debatable, and the modification effect of biological aging remains unclear. Therefore, we aimed to evaluate the joint association of frailty index and biological aging with all-cause and cause-specific mortality.

METHODS

In this population-based cohort study, data were obtained from the National Health and Nutrition Examination Survey (NHANES) and National Death Index (NDI). Demographic variables were extracted, frailty index was constructed, and biological aging was calculated. All-cause deaths, cancer deaths, and cardiovascular disease (CVD) deaths were extracted as outcomes. Cox proportional hazards regression models were used to estimate the correlations, stratified subgroup analyses were used to figure out effect modifiers, and sensitivity analyses were used to confirm the robustness.

RESULTS

A total of 22,729 NHANES participants were included in this study, with 6786 all-cause deaths, 1830 CVD deaths, and 1396 cancer deaths occurred during an average follow-up of 8.5 years over a total of 192,601 person-years. The hazard ratios (HRs) of delayed aging group for all-cause mortality, CVD mortality, and cancer mortality were 0.45 (95 % CI: 0.41-0.49), 0.39 (95 % CI: 0.34-0.45), and 0.54 (95 % CI: 0.46-0.63), respectively, compared to accelerated aging group (P for all comparisons < 0.001). Likewise, the frailty index score was positively associated with all-cause mortality (HR, 1.06 [95 % CI, 1.06-1.06] per 0.01 increase in the frailty index), cardiovascular (CVD) mortality (HR, 1.07 [95 % CI, 1.06-1.07] per 0.01 increase in the frailty index), and cancer mortality (HR, 1.04 [95 % CI, 1.03-1.04] per 0.01 increase in the frailty index). The associations of frailty index with all-cause mortality and CVD mortality were modified by biological aging (P for interaction = 0.044), but cancer mortality was not (P for interaction = 0.482).

CONCLUSIONS

Accelerated biological aging is associated with higher frailty index, whereas delayed biological aging is inversely associated with risk of all-cause mortality, CVD mortality, and cancer mortality. Biological aging is effect modification among the associations of frailty index with all-cause mortality and CVD mortality, but not for cancer mortality. These findings suggest that for people with high frailty index and acceleration biological aging, to lower frailty degree and decrease biological aging acceleration by approaches such as lifestyle modifications might be beneficial for individual's longevity and lifespan.

The Relationship Between Urinary Incontinence, Mortality, and Frailty: Insights From a Large Cohort Study

OBJECTIVE

This study aims to explore the relationship between urinary incontinence (UI) and mortality in women, with a focus on the potential role of frailty and variations across UI subtypes.

METHODS

We analyzed 8967 women aged 40 and above who were part of the National Health and Nutrition Examination Survey (NHANES). Kaplan-Meier survival curves and Cox regression analyses were performed to assess the relationship between urge UI (UUI), stress UI (SUI), other UI (OUI) and all-cause mortality. These models were adjusted for demographic variables and frailty scores.

RESULTS

Approximately 45.8% of participants reported UI in the past year. Initial analysis showed a significant association between UI and increased mortality risk (hazard ratio [HR] = 1.478, 95% confidence interval [CI] 1.317-1.657, p < 0.001), persisting after controlling for frailty (HR = 1.151, 95% CI 1.022-1.297, p = 0.021). However, after adjusting for frailty and demographic factors, this association became non-significant.

CONCLUSION

Women with UI exhibited a significantly increased risk of all-cause mortality, but this association did not hold after accounting for both key demographics and frailty.

Frailty-aware Care in the Emergency Department

Older adults living with frailty are a growing population that will increasingly present to the emergency department (ED). This is a population that is at increased risk of adverse health outcomes and most EDs are not designed with their needs in mind. Instead of characterizing patients based on chronologic age or existing triage tools, frailty assessment offers an accurate, feasible, and patient-centered approach to improving care, and should be performed in the ED.

Frailty index predicts adverse short- and long-term outcomes in older adults with rib fractures

BACKGROUND

Older adults with rib fractures pose an increasing clinical and financial burden on healthcare. Identifying and addressing the increased risk of adverse outcomes has been a key objective in geriatric co-management of surgical patients. The Comprehensive Geriatric Assessment-based Frailty Index (FI-CGA) is a useful predictor of complications and mortality in older adults, but its value in rib fracture management remains unclear. This study investigates the association between FI-CGA and short- and long-term outcomes of older adults with rib fractures.

METHODS

Rib fracture patients ≥65 years, with a FI-CGA score available, were retrospectively identified from a single level-I trauma center between 2018 and 2022. FI-CGA scores were categorized as pre-frail (<0.20), mild frailty (0.20-0.29), moderate frailty (0.30-0.39), and severe frailty (≥0.40). Outcome measures included mortality up to two years, length of stay (LOS), complications, and 30-day readmission.

RESULTS

288 patients were included for analysis (57 pre-frail; 66 mildly frail; 61 moderately frail; 104 severely frail). Compared to the pre-frail group, only severely frail patients were at higher risk of 90-day (OR 5.71 [CI 1.29 - 52.67]) and 1-year mortality (OR 6.66 [CI 2.18 - 27.37]), while 2-year mortality was higher in mild (OR 3.77 [CI 1.30 - 12.57]), moderate (OR 4.28 [CI 1.46 - 14.51]) and severe (OR 6.42 [CI 2.43 - 20.11]) frailty groups. Hospital (p=0.183) and ICU LOS (p=0.131) was similar across groups. Severely frail patients were at risk of pneumonia (OR 3.50 [CI 0.95 - 19.48]) and delirium (OR 4.16 [CI 1.33 - 17.40]), while other complications were similar between groups (p=0.679). Adjusted proportional hazard ratios for mortality were significantly higher for moderate frailty (HR 1.99 [CI 1.02 - 3.89]) and severe frailty (HR 2.66 [CI 1.10 - 3.73]). FI-CGA was also a significant predictor if used per 0.01 point (HR 1.03 [CI 1.01 - 1.04)]) and per 0.1 point (HR 1.29 [CI 1.12 - 1.47]).

CONCLUSION

FI-CGA can identify vulnerable rib fracture patients at risk of in-hospital complications, and short- and long-term mortality. Continuous FI-CGA scores provide a granular and individualized risk assessment. In severely frail patients with rib fractures, FI-CGA may assist in aligning treatment with individual patients' needs and goals of care.

Associations of frailty, self-reported balance problems, hearing abilities, and posturography in a sample of older adults

OBJECTIVE

The aim of this study was to identify risk factors for self-reported balance problems, and to analyse associations between hearing and balance.

DESIGN

A battery of tests was administered to assess hearing and balance performance, as well as additional health-related factors indicative of frailty and fall risk. In a retrospective analysis, logistic regression was used to identify risk factors for self-reported balance problems and linear regression was used to identify associations between hearing ability and functional balance.

STUDY SAMPLE

For the risk factor analysis, 199 volunteers aged 55-81 years (mean:67) were divided into two groups according to their self-reported balance problems. Only participants lacking self-reported balance problems (n = 157) were included in the second analysis.

RESULTS

Female gender, frailty, and fine-motor skills were statistically significant predictors of self-reported balance problems. Functional balance performance was related to hearing impairment for dynamic, but not for static, balance tasks.

CONCLUSION

For a holistic approach to healthcare and regardless of age, individuals with multiple comorbidities and/or phenotypic signs of frailty should be considered at risk for falls. For further research, it was shown that dynamic, rather than static, balance tasks may be needed to gain deeper insights into the relationship between hearing and balance.

Exploring the physical, mental, and social dimensions of middle-aged adults for active and healthy aging: A cross-sectional study

INTRODUCTION

Population ageing presents a significant global challenge, necessitating sustained efforts to promote active and healthy ageing throughout life to improve quality of life in later years. This study aims to characterise the physical, mental, and social well-being of middle-aged adults (aged 55-64) in Baixo Alentejo, Portugal, and to analyse associations between these dimensions and sociodemographic variables. The findings aim to inform policies and interventions supporting active and healthy ageing, a cornerstone for quality longevity.

METHODOLOGY

This cross-sectional, descriptive study was conducted between 02 May 2023 and 29 February 2024 among individuals aged 55-64 registered at health centres in Baixo Alentejo, Portugal. Data were collected via a structured questionnaire evaluating disability, depressive symptoms, life satisfaction, and satisfaction with social support. Instruments included the WHO Disability Assessment Schedule (WHODAS 2.0-PT12), the Patient Health Questionnaire (PHQ-9), a self-reported life satisfaction score, and the Social Support Satisfaction Scale (SSSS). Statistical analysis employed Student's t-test and one-way ANOVA. Ethical approval was obtained, and all participants provided informed consent.

RESULTS

The study included 698 participants. Women, individuals with lower educational attainment, and the unemployed demonstrated significantly higher functional disability scores. Women and unemployed participants also had higher depressive symptom scores. Conversely, men reported greater life satisfaction. Older participants and those with lower socioeconomic status exhibited greater physical limitations, depressive symptoms, and dissatisfaction with social support. Economic stability was positively associated with mental well-being and life satisfaction, underscoring the importance of financial security in enhancing perceptions of social support.

CONCLUSION

This study provides a comprehensive characterisation of middle-aged adults in Baixo Alentejo, revealing significant associations between sociodemographic factors and physical, mental, and social well-being. The findings highlight the need for tailored socioeconomic and health interventions to promote active and healthy ageing. Public policies designed to address the unique needs of middle-aged adults in the region are critical to improving health outcomes and fostering quality longevity.

National Norms for Hospital Frailty Risk Score Among Hospitalized Adults in the USA

BACKGROUND

Frailty among inpatients increases risk for hospital-associated disability and death. Yet, frailty is not regularly screened in acute care due to the lack of standardized methods, the complexity of frailty, and time and energy required of hospital personnel. Thus, screening with routinely collected data provides an opportunity to assess frailty across inpatient populations.

OBJECTIVE

To calculate normative values for Hospital Frailty Risk Score (HFRS) among adult inpatients in the USA based on age, sex, and race.

DESIGN

A retrospective cross-sectional analysis of the 2018 National Inpatient Sample (NIS) database.

PATIENTS

US adult inpatients aged 18y + with a focus on patients aged at least 45.

MAIN MEASURES

Hospital Frailty Risk Score (HFRS) is a validated measure that uses ICD-10 codes to calculate frailty risk among hospitalized patients.

KEY RESULTS

Mean HFRS significantly increased with increasing age across sex and race (p < 0.001). Among the oldest age groups 65y + , mean and median normative values were similar between male and female inpatients (mean HFRS range, 6.71-9.62; median HFRS range, 5.40-8.70), and Black inpatients had the highest frailty risk compared to other races (mean HFRS range = 7.56-10.47; median HFRS range = 6.30-9.50). Asian/Pacific Islander inpatients had similar frailty risk to Black inpatients among those 90y + (mean HFRS = 10.48; median HFRS = 9.50).

CONCLUSIONS

The US national norms for HFRS provide a standardized reference tool for comparing frailty risk among clinical and research inpatient populations to a typical hospitalized adult for their age, sex, and race.

Frailty prevalence, invasive treatment frequency, and in-hospital outcome in patients hospitalized for acute coronary syndrome in Germany (2005-2022): a nationwide registry study

Background

Frailty is a significant predictor for adverse outcomes. Yet, data on prevalence and treatment of frail patients with acute coronary syndrome (ACS) remains limited. We aimed to investigate frailty prevalence, interventional treatment frequency, and in-hospital outcome for all patients hospitalized for ACS in Germany from 2005 to 2022 and validate the Hospital Frailty Risk Score (HFRS) in this population.

Methods

Data for 2005-2022 from the Statistical Federal Office included all cases with primary diagnosis of ACS treated in Germany. Patients were categorized into low, intermediate, and high frailty by HFRS. Diagnoses, procedures, and in-hospital outcomes were analyzed. Univariable and multivariable logistic regressions as well as sensitivity analyses were performed.

Findings

Between 2005 and 2022, 5,889,972 ACS patients were hospitalized in Germany. Mean age was 69 years (standard deviation (SD) ± 12.85 years) and 2,060,224 (34.98%) were female. In-hospital mortality was 6.2%. Among all, 5,001,812 (84.9%) had a low, 784,106 (13.3%) an intermediate, and 104,054 (1.8%) a high HFRS. High-frailty patients were less likely to undergo coronary intervention than low-frailty patients (47.0% vs. 70.6%, p < 0.001), had longer hospital stays (21.6 days SD 19.4 ± vs. 5.6 days SD ± 5.2, p < 0.001), and higher in-hospital mortality (adjusted odds ratio (OR) 3.34 [confidence interval (95% CI) 3.29-3.4]).

Interpretation

Nearly one-sixth of ACS-patients were frail according to HFRS. Frail patients had longer hospital stays, less often received interventional procedures, and showed substantially increased in-hospital mortality. In our aging population, frailty will play an increasing role in patient management. Frailty scores based on electronic patient records, like the HFRS, offer clinicians a tool for assessing in-hospital outcome in ACS patients, potentially enabling more individualized treatment approaches.

Funding

None.

Is a higher body mass index associated with longer duration of survival with disability in frail than in non-frail older adults?

BACKGROUND/OBJECTIVES

This study investigated the hitherto unclear association of body mass index (BMI) with age at overall, disability, and disability-free survival in older adults with and without frailty.

METHODS

This prospective cohort study enroled 10232 Japanese adults aged ≥65 years, who underwent follow-up for adverse events, from the Kyoto-Kameoka Study conducted from 2011-2016. BMI, calculated based on self-reported height and body weight, was classified into five categories: <18.5, 18.5-21.4, 21.5-24.9, 25.0-27.4, and ≥27.5 kg/m2. Frailty was assessed using the validated Kihon Checklist. The relationships between BMI and disability and mortality were analysed using multivariate Cox proportional hazards models and Laplace regression.

RESULTS

During the 5.3-year median follow-up period (45472 person-years), 2348 (22.9%) incidences of disabilities occurred. After adjusting for confounders, including medical history and lifestyle, individuals in the lowest and highest BMI categories had a higher hazard ratio (HR) of disability [<18.5 kg/m2: HR: 1.31, confidence interval (CI): 1.16-1.49; ≥27.5 kg/m2: HR: 1.27, 95% CI: 1.08-1.49, p for non-linearity <0.001] compared with that of those with BMI = 21.5-24.9 kg/m2. In the 50th percentile differences in age at overall and disability-free survival, participants with BMI < 18.5 kg/m2 were more likely to die before disability incidence [survival with disability (overall survival - disability-free survival): -10.2 months]; those with BMI ≥ 27.5 kg/m2 had longer survival with disability (12.5 months). These relationships were more marked in the frailty-stratified model, where in the BMI ≥ 27.5 kg/m2 group, individuals with frailty survived longer with disability (27.2 months) than did individuals without frailty (6.2 months).

CONCLUSION

Higher BMI is associated with a longer duration of survival with disability among older adults, especially in those with frailty. Therefore, reversing frailty should be prioritised because individuals with frailty have a shorter probability of disability-free survival than do individuals without frailty, regardless of BMI.

Using the Hospital Frailty Risk Score to predict length of stay across all adult ages

BACKGROUND

Hospital Frailty Risk Score (HFRS) has recently been used to predict adverse health outcomes including length of stay (LOS) in hospital. LOS is an important indicator for patient quality of care, the measurement of hospital performance, efficiency and costs. Tools to predict LOS may enable earlier interventions in those identified at higher risk of a long stay. Previous work focused on patients over 75 years of age, but we explore the relationship between HFRS and LOS for all adults.

METHODS

This is a retrospective cohort study using data from a large acute hospital during the period from 01/01/2010 to 30/06/2018. The study included patients aged 16 years and older. We calculated HFRS for patients who had been previously admitted to the hospital within the previous 2 years. The study developed Logistic Regression models (crude and adjusted) for nine prediction periods of LOS to assess association between (LOS and HFRS) and (LOS and Charlson Comorbidity Index-CCI), using odds ratios, and AUROC to assess model performance.

RESULTS

An increase in HFRS is associated with prolonged LOS. HFRS alone or combined with CCI were more important predictor of long LOS in most of periods to predict LOS. However, crude HFRS was superior to the models where HFRS was combined with any other variable for LOS in excess of 21 days, which had AUROCs ranging from 0·867 to 0·890. Regarding eight age groups, crude HFRS remained the first or second most effective predictor of long LOS. HFRS alone or combined with CCI was superior to other models for patients older than 44 years for all periods of LOS; whereas for patients younger than 44 years it was superior for all LOS except 45, 60, and 90 days.

CONCLUSION

This study has demonstrated the utility of HFRS to predict hospital LOS in patients across all ages.

Cohort trends in intrinsic capacity in England and China

To understand how the health of older adults today compares to that of previous generations, we estimated intrinsic capacity and subdomains of cognitive, locomotor, sensory, psychological and vitality capacities in participants of the English Longitudinal Study of Ageing and the China Health and Retirement Longitudinal Study. Applying multilevel growth curve models, we found that more recent cohorts entered older ages with higher levels of capacity, while subsequent age-related declines were somewhat compressed compared to earlier cohorts. Trends were most evident for the cognitive, locomotor and vitality capacities. Improvements were large, with the greatest gains being in the most recent cohorts. For example, a 68-year-old participant of the English Longitudinal Study of Ageing born in 1950 had higher capacity than a 62-year-old born 10 years earlier. Trends were similar for men and women and were generally consistent across English and Chinese cohorts. Possible causes include broad societal influences and improvements in medical care.

Association of the interaction between daily step counts and frailty with disability in older adults

The differences in the association of objectively measured physical activity with disability between frail and non-frail older adults remain unclear. We (1) evaluated the dose-dependent relationship between daily steps and disability in older adults with and without frailty and (2) examined the interaction between steps and frailty status in relation to the risk of disability. This prospective study used data from 4065 adults aged ≥ 65 years from the Kyoto-Kameoka Study, Japan. The mean daily step count obtained using triaxial accelerometers across ≥ 4 days was recorded. Frailty was evaluated using the validated Kihon Checklist. Disability was identified using the long-term care insurance system's nationally unified database, with data collected until November 30, 2016. Overall, 385 disabilities were recorded during a median follow-up period of 3.32 years (12,855 person-years). After adjusting for confounders, an inverse association was observed between daily step count and disability risk. The disability risk plateaued at 5,000-7,000 steps/day in non-frail people, whereas step counts showed an almost linear inverse relationship with disability risk in frail people. Low step counts (< 5,000 steps) in frail people were more strongly associated with disability risk than were high step counts (≥ 5,000 steps) in non-frail people. The additive interaction between steps and frailty was associated with the relative excess risk of disability in frail people with low step counts (p for interaction = 0.015). The relationship between daily steps and disability differs between older adults with and without frailty, and the adverse effects of frailty on disability risk depend on physical activity.

Effect of low muscle mass on total mortality related to metabolic disease in chronic kidney disease patients

Low muscle mass is a risk factor for mortality in patients with chronic kidney disease (CKD). However, it is not clear to what extent low muscle mass contributes to this risk, either independently or in combination with metabolic abnormalities and frailty. This study used data from the National Health and Nutrition Examination Survey 1999-2006 and 2011-2018. Low muscle mass was defined as Appendicular Skeletal Mass Index < 7 kg/m2 in men or < 5.5 kg/m2 in women. The follow-up duration was from the first anthropometric and clinical measurements to death or the last follow-up. This study enrolled 2072 patients with CKD. Low muscle mass was associated with a lower risk of metabolic abnormalities, but was associated with an elevated mortality risk. Conversely, central obesity was associated with a higher likelihood of metabolic abnormalities and frailty, yet showed no significant association with mortality risk. Subsequently conducted mediation analysis indicated that the effect of low muscle mass on mortality was direct, not mediated by frailty and metabolic abnormalities. In spite of the inverse relationship between low muscle mass and metabolic abnormalities, low muscle mass are directly associated with an increased risk of all-cause mortality. Low muscle mass may directly contribute to mortality in patients with CKD, independent of metabolic abnormalities and frailty in these patients.

Cross-sectional comparison of the association between three different insulin resistance surrogates and frailty: NHANES 1999-2018

Background

The correlation between various insulin resistance surrogates and frailty remains under investigation in the scientific community.

Methods

Data from NHANES (1999-2018) were used. We utilized weighted binary logistic regression, trend tests, RCS analysis, and subgroup analysis to comprehensively assess the link between METS-IR, HOMA-IR, and TyG, and frailty risk.

Results

The results revealed a significant positive association between high levels of METS-IR, HOMA-IR, and TyG with the risk of frailty in all models. Notably, in model 4, the highest quintile of METS-IR showed the strongest link (OR: 2.960, 95% CI: 2.219-3.949), with HOMA-IR (OR: 2.522, 95% CI: 1.927-3.301) following closely behind. Trend tests revealed a positive trend between METS-IR, HOMA-IR, and TyG with the risk of frailty (P for trend < 0.05). RCS analysis showed a linear relationship between METS-IR and the risk of frailty (P for nonlinearity > 0.05). In contrast, HOMA-IR and TyG exhibited a U-shaped nonlinear relationship (P for nonlinearity < 0.05).

Conclusion

The research identified a linear association between METS-IR and frailty risk, whereas HOMA-IR and TyG displayed a U-shaped, nonlinear relationship pattern with the risk of frailty. Among the varying levels examined, the linkage between METS-IR and frailty was most pronounced in the top quintile.

Frailty Is More Predictive of Mortality than Age in Patients With Hip Fractures

OBJECTIVES

To investigate the association between the Comprehensive Geriatric Assessment-based Frailty Index and adverse outcomes in older adult patients undergoing hip fracture surgery.

METHODS

DESIGN

Retrospective cohort study.

SETTING

Academic Level 1 Trauma Center.

PATIENTS

All patients aged 65 or older who underwent surgical repair of a hip fracture between May 2018 and August 2020 were identified through institutional database review.

OUTCOME MEASURES AND COMPARISONS

Data including demographics, FI, injury presentation, and hospital course were collected. Patients were grouped by FI as nonfrail (FI < 0.21), frail (0.21 ≤ FI < 0.45), and severely frail (FI > 0.45). Adverse outcomes of these groups were compared using Kaplan Meier survival analysis. Risk factors for 1-year rehospitalization and 2-year mortality were evaluated using Cox hazard regression.

RESULTS

Three hundred sixteen patients were included, with 62 nonfrail, 185 frail, and 69 severely frail patients. The total population was on average 83.8 years old, predominantly white (88.0%), and majority female (69.9%) with an average FI of 0.33 (SD: 0.14). The nonfrail cohort was on average 78.8 years old, 93.6% white, and 80.7% female; the frail cohort was on average 84.5 years old, 92.4% white, and 71.9% female; and the severely frail cohort was on average 86.4 years old, 71.0% white, and 55.1% female. Rate of 1-year readmission increased with frailty level, with a rate of 38% in nonfrail patients, 55.6% in frail patients, and 74.2% in severely frail patients (P = 0.001). The same pattern was seen in 2-year mortality rates, with a rate of 2.8% in nonfrail patients, 36.7% in frail patients, and 77.5% in severely frail patients (P < 0.0001). Being classified as frail or severely frail exhibited greater association with mortality within 2 years than age, with hazard ratio of 17.81 for frail patients and 56.81 for severely frail patients compared with 1.19 per 5 years of age.

CONCLUSIONS

Increased frailty as measured by the Frailty Index is significantly associated with increased 2-year mortality and 1-year hospital readmission rates after hip fracture surgery. Degree of frailty predicts mortality more strongly than age alone. Assessing frailty with the Frailty Index can identify higher-risk surgical candidates, facilitate clinical decision making, and guide discussions about goals of care with family members, surgeons, and geriatricians.

LEVEL OF EVIDENCE

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

New insights into healthy ageing, inflammageing and frailty using metabolomics

Human ageing is a normal process and does not necessarily result in the development of frailty. A mix of genetic, environmental, dietary, and lifestyle factors can have an impact on ageing, and whether an individual develops frailty. Frailty is defined as the loss of physiological reserve both at the physical and cellular levels, where systemic processes such as oxidative stress and inflammation contribute to physical decline. The newest "omics" technology and systems biology discipline, metabolomics, enables thorough characterisation of small-molecule metabolites in biological systems at a particular time and condition. In a biological system, metabolites-cellular intermediate products of metabolic reactions-reflect the system's final response to genomic, transcriptomic, proteomic, epigenetic, or environmental alterations. As a relatively newer technique to characterise metabolites and biomarkers in ageing and illness, metabolomics has gained popularity and has a wide range of applications. We will give a comprehensive summary of what is currently known about metabolomics in studies of ageing, with a focus on biomarkers for frailty. Metabolites related to amino acids, lipids, carbohydrates, and redox metabolism may function as biomarkers of ageing and/or frailty development, based on data obtained from human studies. However, there is a complexity that underpins biological ageing, due to both genetic and environmental factors that play a role in orchestrating the ageing process. Therefore, there is a critical need to identify pathways that contribute to functional decline in people with frailty.

Heart Failure With Preserved Ejection Fraction and Frailty: From Young to Superaged Coexisting HFpEF and Frailty

Being commonly diagnosed in elderly women and associated with comorbidities as well as ageing-related cardio-vascular changes, heart failure with preserved ejection fraction (HFpEF) has been recently considered as a distinct cardiogeriatric syndrome. Frailty is another frequent geriatric syndrome. HFpEF and frailty share common underlying mechanisms, often co-exist, and represent each other's risk factors. A threshold of 65 years old is usually used to screen patients for both frailty and HFpEF in research and clinical settings. However, both HFpEF and frailty are very heterogenous conditions that may develop at younger ages. In this review we aim to provide a broader overview on the coexistence of HFpEF and frailty throughout the lifetime. We hypothesize that HFpEF and frailty patients' profiles (young, elderly, superaged) represent a continuum of the common ageing process modified by cumulative exposure to risk factors resulting to a presentation of HFpEF and frailty at different ages. We believe, that suggested approach might stimulate assessment of frailty in HFpEF assessment and vice versa regardless of age and early implementation of targeted interventions. Future studies of pathophysiology, clinical features, and outcomes of frailty in HFpEF by age are needed.

Protocol for the Development and Analysis of the Oxford and Reading Cognitive Comorbidity, Frailty and Ageing Research Database-Electronic Patient Records (ORCHARD-EPR)

BACKGROUND

Hospital electronic patient records (EPRs) offer the opportunity to exploit large-scale routinely acquired data at relatively low cost and without selection. EPRs provide considerably richer data, and in real-time, than retrospective administrative data sets in which clinical complexity is often poorly captured. With population ageing, a wide range of hospital specialties now manage older people with multimorbidity, frailty and associated poor outcomes. We, therefore, set-up the Oxford and Reading Cognitive Comorbidity, Frailty and Ageing Research Database-Electronic Patient Records (ORCHARD-EPR) to facilitate clinically meaningful research in older hospital patients, including algorithm development, and to aid medical decision-making, implementation of guidelines, and inform policy.

METHODS AND ANALYSIS

ORCHARD-EPR uses routinely acquired individual patient data on all patients aged ≥65 years with unplanned admission or Same Day Emergency Care unit attendance at four acute general hospitals serving a population of >800 000 (Oxfordshire, UK) with planned extension to the neighbouring Berkshire regional hospitals (>1 000 000). Data fields include diagnosis, comorbidities, nursing risk assessments, frailty, observations, illness acuity, laboratory tests and brain scan images. Importantly, ORCHARD-EPR contains the results from mandatory hospital-wide cognitive screening (≥70 years) comprising the 10-point Abbreviated-Mental-Test and dementia and delirium diagnosis (Confusion Assessment Method-CAM). Outcomes include length of stay, delayed transfers of care, discharge destination, readmissions and death. The rich multimodal data are further enhanced by linkage to secondary care electronic mental health records. Selection of appropriate subgroups or linkage to existing cohorts allows disease-specific studies. Over 200 000 patient episodes are included to date with data collection ongoing of which 129 248 are admissions with a length of stay ≥1 day in 64 641 unique patients.

ETHICS AND DISSEMINATION

ORCHARD-EPR is approved by the South Central Oxford C Research Ethics Committee (ref: 23/SC/0258). Results will be widely disseminated through peer-reviewed publications and presentations at conferences, and regional meetings to improve hospital data quality and clinical services.

Levels of frailty and frailty progression in older urban- and regional-living First Nations Australians

OBJECTIVES

To explore the prevalence of frailty, association between frailty and mortality, and transitions between frailty states in urban- and regional-living First Nations Australians.

STUDY DESIGN

Secondary analysis of longitudinal data from the Koori Growing Old Well Study. First Nations Australians aged 60 years or more from five non-remote communities were recruited in 2010-2012 and followed up six years later (2016-2018). Data collected at both visits were used to derive a 38-item Frailty Index (FI). The FI (range 0-1.0) was classified as robust (<0.1), pre-frail (0.1- < 0.2), mildly (0.2- < 0.3), moderately (0.3- < 0.4) or severely frail (≥0.4).

MAIN OUTCOME MEASURES

Association between frailty and mortality, examined using logistic regression and transitions in frailty (the percentage of participants who changed frailty category) during follow-up.

RESULTS

At baseline, 313 of 336 participants (93 %) had sufficient data to calculate a FI. Median FI score was 0.26 (interquartile range 0.21-0.39); 4.79 % were robust, 20.1 % pre-frail, 31.6 % mildly frail, 23.0 % moderately frail and 20.5 % severely frail. Higher baseline frailty was associated with mortality among severely frail participants (adjusted odds ratio 7.11, 95 % confidence interval 2.51-20.09) but not moderately or mildly frail participants. Of the 153 participants with a FI at both baseline and follow-up, their median FI score increased from 0.26 to 0.28.

CONCLUSIONS

Levels of frailty in this First Nations cohort are substantially higher than in similar-aged non-Indigenous populations. Screening for frailty before the age of 70 years may be warranted in First Nations Australians. Further research is urgently needed to determine the factors that are driving such high levels of frailty and propose solutions to prevent or manage frailty in this population.

The association of degree of polypharmacy before and after among hospitalised internal medicine patients and clinical outcomes: a retrospective, population-based cohort study

OBJECTIVES

To determine the prevalence and incidence of polypharmacy/hyperpolypharmacy and which medications are most prescribed to patients with varying burden of polypharmacy.

DESIGN

Retrospective, population-based cohort study.

SETTING

Iceland.

PARTICIPANTS

Including patients (≥18 years) admitted to internal medicine services at Landspitali - The National University Hospital of Iceland, between 1 January 2010 with a follow-up of clinical outcomes through 17 March 2022.

MAIN OUTCOMES MEASURES

Participants were categorised into medication use categories of non-polypharmacy (<5), polypharmacy (5-10) and hyperpolypharmacy (>10) based on the number of medications filled in the year predischarge and postdischarge. The primary outcome was prevalence and incidence of new polypharmacy. Secondary outcomes were mortality, length of hospital stay and re-admission.

RESULTS

Among 85 942 admissions (51% male), the median (IQR) age was 73 (60-83) years. The prevalence of preadmission non-polypharmacy was 15.1% (95% CI 14.9 to 15.3), polypharmacy was 22.9% (95% CI 22.6 to 23.2) and hyperpolypharmacy was 62.5% (95% CI 62.2 to 62.9). The incidence of new postdischarge polypharmacy was 33.4% (95% CI 32.9 to 33.9), and for hyperpolypharmacy was 28.9% (95% CI 28.3 to 29.5) for patients with preadmission polypharmacy. Patients with a higher level of medication use were more likely to use multidose drug dispensing and have a diagnosis of adverse drug reaction. Other comorbidities, including responsible subspeciality and estimates of comorbidity and frailty burden, were identical between groups of varying polypharmacy. There was no difference in length of stay, re-admission rate and mortality.

CONCLUSIONS

Preadmission polypharmacy/hyperpolypharmacy and postdischarge new polypharmacy/hyperpolypharmacy is common amongst patients admitted to internal medicine. A higher level of medication use category was not found to be associated with demographic, comorbidity and clinical outcomes. Medications that are frequently inappropriately prescribed were among the most prescribed medications in the group. An increased focus on optimising medication usage is needed after hospital admission.

TRIAL REGISTRATION NUMBER

NCT05756400.

Age- and sex-specific associations of frailty with mortality and healthcare utilization in community-dwelling adults from ontario, Canada

BACKGROUND

Understanding how health trajectories are related to the likelihood of adverse outcomes and healthcare utilization is key to planning effective strategies for improving health span and the delivery of care to older adults. Frailty measures are useful tools for risk stratification in community-based and primary care settings, although their effectiveness in adults younger than 60 is not well described.

METHODS

We performed a 10-year retrospective analysis of secondary data from the Ontario Health Study, which included 161,149 adults aged ≥ 18. Outcomes including all-cause mortality and hospital admissions were obtained through linkage to ICES administrative databases with a median follow-up of 7.1-years. Frailty was characterized using a 30-item frailty index.

RESULTS

Frailty increased linearly with age and was higher for women at all ages. A 0.1-increase in frailty was significantly associated with mortality (HR = 1.47), the total number of outpatient (IRR = 1.35) and inpatient (IRR = 1.60) admissions over time, and length of stay (IRR = 1.12). However, with exception to length of stay, these estimates differed depending on age and sex. The hazard of death associated with frailty was greater at younger ages, particularly in women. Associations with admissions also decreased with age, similarly between sexes for outpatient visits and more so in men for inpatient.

CONCLUSIONS

These findings suggest that frailty is an important health construct for both younger and older adults. Hence targeted interventions to reduce the impact of frailty before the age of 60 would likely have important economic and social implications in both the short- and long-term.

Combining the Hospital Frailty Risk Score With the Charlson and Elixhauser Multimorbidity Indices to Identify Older Patients at Risk of Poor Outcomes in Acute Care

OBJECTIVE

The Hospital Frailty Risk Score (HFRS) can be applied to medico-administrative datasets to determine the risks of 30-day mortality and long length of stay (LOS) in hospitalized older patients. The objective of this study was to compare the HFRS with Charlson and Elixhauser comorbidity indices, used separately or combined.

DESIGN

A retrospective analysis of the French medical information database. The HFRS, Charlson index, and Elixhauser index were calculated for each patient based on the index stay and hospitalizations over the preceding 2 years. Different constructions of the HFRS were considered based on overlapping diagnostic codes with either Charlson or Elixhauser indices. We used mixed logistic regression models to investigate the association between outcomes, different constructions of HFRS, and associations with comorbidity indices.

SETTING

743 hospitals in France.

PARTICIPANTS

All patients aged 75 years or older hospitalized as an emergency in 2017 (n=1,042,234).Main outcome measures: 30-day inpatient mortality and LOS >10 days.

RESULTS

The HFRS, Charlson, and Elixhauser indices were comparably associated with an increased risk of 30-day inpatient mortality and long LOS. The combined model with the highest c-statistic was obtained when associating the HFRS with standard adjustment and Charlson for 30-day inpatient mortality (adjusted c-statistics: HFRS=0.654; HFRS + Charlson = 0.676) and with Elixhauser for long LOS (adjusted c-statistics: HFRS= 0.672; HFRS + Elixhauser =0.698).

CONCLUSIONS

Combining comorbidity indices and HFRS may improve discrimination for predicting long LOS in hospitalized older people, but adds little to Charlson's 30-day inpatient mortality risk.

Association of low muscle mass and obesity with increased all-cause and cardiovascular disease mortality in US adults

BACKGROUND

Sarcopenic obesity, defined as the coexistence of low muscle mass and high adiposity, is associated with cardiovascular disease (CVD) and mortality. However, to what extent sarcopenia contributes to these risks independently or in conjunction with other cardiovascular risk factors remains unclear. This study aimed to investigate the association of low muscle mass, central obesity (COB), metabolic abnormalities, and their combinations with CVD and mortality risk.

METHODS

This cross-sectional analysis used data from the National Health and Nutrition Examination Survey 1999-2006 and 2011-2018. Participants aged >20 years and with reported whole-body dual X-ray absorptiometry data were included. Participants were divided into eight groups based on low muscle mass, metabolic abnormalities, and COB status.

RESULTS

The mean age of participants was 55 years, and 50.4% of participants were male. Low muscle mass was observed in 2472 (14.6%) out of 16 839 participants. Among the eight groups, the metabolically unhealthy COB group with low muscle mass had the highest hazard ratio (HR) for all-cause mortality (HR, 2.00; 95% CI, 1.56-2.56; P < 0.001), whereas the metabolically healthy COB group with low muscle mass had the highest HR for CVD mortality (HR, 3.18; 95% CI, 1.53-6.65; P = 0.001). The mediation analysis showed that low muscle mass directly increased the risk of both all-cause mortality (HR, 1.56; 95% CI, 1.35-1.79; P < 0.001) and CVD mortality (HR, 1.80; 95% CI, 1.40-2.31; P < 0.001). Additionally, subgroup analysis revealed that low muscle mass significantly increased the risk of all-cause and CVD mortality in participants without a prior CVD history and those with diabetes mellitus.

CONCLUSIONS

Low muscle mass is an independent risk factor for all-cause and CVD mortality, especially in individuals with metabolic abnormalities and COB.

Frailty modifies the association of body mass index with mortality among older adults: Kyoto-Kameoka study

BACKGROUND & AIMS

The differences in the association of body mass index (BMI) with mortality between older adults with and without frailty remain unclear. This study investigated this association in community-dwelling older adults with and without frailty.

METHODS

This prospective study included 10,912 adults aged ≥65 years who provided valid responses to a baseline mail survey questionnaire in the Kyoto-Kameoka Study in Japan. The BMI was calculated based on self-reported height and body weight and classified into four categories: <18.5, 18.5-21.4, 21.5-24.9, and ≥25.0 kg/m2. Frailty was evaluated using the validated Kihon Checklist and defined as a score of 7 or higher out of a possible 25 points. Mortality data were collected from 30 July 2011 to 30 November 2016. Hazard ratios (HR) for all-cause mortality were calculated using a multivariable Cox proportional hazards model.

RESULTS

During the 5.3 year median follow-up period (54,084 person-years), 1352 deaths were recorded. After adjusting for confounders, including lifestyle and medical history, compared with participants with a BMI of 21.5-24.9 kg/m2, those in the lower BMI category had a higher mortality HR, while those with a higher BMI displayed an inverse association with mortality (<18.5 kg/m2: HR: 1.85, 95% confidence interval [CI]: 1.58-2.17; 18.5-21.4 kg/m2: HR: 1.38, 95% CI: 1.21-1.58; and ≥25.0 kg/m2: HR: 0.80, 95% CI: 0.67-0.96). In a model stratified by frailty status, the BMI range with the lowest HR for mortality was 23.0-24.0 kg/m2 in non-frail older adults; however, in frail older adults, a higher BMI was inversely associated with mortality.

CONCLUSIONS

The relationship between BMI and mortality varies between individuals with and without frailty, with those experiencing frailty potentially benefiting from a higher BMI compared to those without frailty. This study suggests that frailty should be assessed when considering the optimal BMI for the lowest mortality risk among older adults.

Outcomes of Geriatric Burn Patients Presenting to the Trauma Service: How Does Frailty Factor in?

INTRODUCTION

Frailty has been known to negatively affect the outcomes of geriatric trauma patients. However, there is a lack of data on the effect of frailty on the outcomes of geriatric trauma patients with concomitant burn injuries. The aim of our study was to compare the outcomes of frail versus nonfrail geriatric trauma patients with concomitant burn injuries.

METHODS

We performed a retrospective analysis of American College of Surgeons Trauma Quality Improvement Program (2018). We included geriatric (≥65 y) trauma patients who sustained a concomitant burn injury with ≥10% Total Body Surface Area affected. Patients with body region-specific AIS ≥4 were excluded. Patients were stratified into Frail and Nonfrail, using 5-factor modified Frailty Index. Primary outcomes measured were mortality. Secondary outcomes measured were complications, and hospital and intensive care unit (ICU) length of stay (LOS). Multivariable logistic regression was performed to identify independent predictors of mortality.

RESULTS

A total of 574 patients were identified, of which 172(30%) were Frail. Mean age was 74 ± 7 y and median [interquartile range] ISS was 3[1-10]. Overall, the rate of mortality was 23% and median hospital LOS was 14[3-31]. After controlling for potential confounding factors, frailty was not identified as an independent predictor of mortality (adjusted odds ratio:1.059, P = 0.93) and complications (adjusted odds ratio:1.10, P = 0.73). However, frail patients had longer hospital (β: 5.01, P = 0.002) and ICU LOS (β: 2.12, P < 0.001).

CONCLUSIONS

Among geriatric trauma patients with concomitant burn injuries, frailty is associated with longer hospital and ICU LOS, and higher rates of thrombotic complications, but not higher mortality or overall complications. Future research should investigate the impact of early assessment of frailty as well as tailored interventions on outcomes in this population.

Frailty in Late Midlife to Old Age and Its Relationship to Medical Imaging Use and Imaging-related Costs: A Longitudinal Study

Background Frailty, defined as an increased vulnerability to and impaired recovery from stressors, is common in individuals in late midlife to old age. While frailty predisposes individuals to adverse health outcomes and increased health care utilization, how it impacts imaging service use and related costs remains unclear. Purpose To determine whether frailty is associated with greater use of imaging services and higher imaging-related costs. Materials and Methods This longitudinal study included a subset of participants from the Helsinki Birth Cohort Study who were clinically assessed up to three times from late midlife to old age between August 2001 and September 2018. A frailty index (FI) based on 41 variables was calculated, and an FI of 0.25 or more indicated frailty. Associations of baseline frailty and its rate of change during the study with medical imaging service use and imaging-related costs were assessed using covariate-adjusted negative binomial and other generalized linear models. Results Of the 1995 participants (mean age, 61.5 years ± 2.9 [SD]; 1074 female participants) included in this study, 569 (28.5%) were identified as frail at baseline, and these participants underwent 10 677 (42.4%) of the 25 172 medical imaging examinations among the participants. Compared to participants who were not frail at baseline, participants who were frail at baseline showed increased use of all imaging modalities (incidence rate ratio [IRR], 2.28 [95% CI: 1.97, 2.64]; P < .001) and higher imaging costs (log annual cost, 3.26 [95% CI: 2.36, 4.50]; P < .001). Compared to participants with stable or slow change in frailty (<0.0010 FI units per year), participants with a rapid increase in frailty (>0.0064 FI units per year) from late midlife to old age showed greater use of all medical imaging services, independent of FI at baseline (IRR, 1.82 [95% CI: 1.53, 2.17]; P < .001) and had higher imaging costs (log annual cost, 1.62 [95% CI: 1.30, 2.01)]; P < .001). Conclusion The presence of frailty and its progression rate are associated with increased use of imaging services and higher imaging-related costs. © RSNA, 2023 Supplemental material is available for this article.

Frailty, an Independent Risk Factor in Progression Trajectory of Cardiometabolic Multimorbidity: A Prospective Study of UK Biobank

BACKGROUND

Although frailty was associated with cardiometabolic diseases (CMDs, including coronary heart disease, stroke, and diabetes here), there was no systematic analyses estimating its role in incidence, progression, and prognosis of cardiometabolic multimorbidity (CMM).

METHODS

We included 351 205 participants without CMDs at baseline in UK Biobank. Occurrences of first CMD, CMM, and death were recorded. We used multistate models to assess transition-specific role of baseline frailty measured by frailty phenotype and frailty index in CMM progression trajectory from no disease to single CMD, CMM, and death. Association between changes in frailty and outcomes was investigated among 17 264 participants.

RESULTS

Among 351 205 participants (44.0% male, mean age 56.55 years), 8 190 (2.3%) had frail phenotype, and 13 615 (3.9%) were moderate/severe frail according to the frailty index. During median follow-up of 13.11 years, 41 558 participants experienced ≥1 CMD, 4 952 had CMM, and 20 670 died. In multistate models, frail phenotype-related hazard ratios were 1.94 and 2.69 for transitions from no CMD to single disease and death, 1.63 and 1.67 for transitions from single CMD to CMM and death, and 1.57 for transitions from CMM to death (all p < .001). Consistent results were observed for frailty index. Improvement of frailty reduced the risk of CMD progression and death.

CONCLUSIONS

Frailty is an independent risk factor for all transitions of CMM progression trajectory. Frailty-targeted management is a potential strategy for primary and secondary prevention of CMM beyond chronological age.

Is Frailty Different in Younger Adults Compared to Old? Prevalence, Characteristics, and Risk Factors of Early-Life and Late-Life Frailty in Samples from Sweden and UK

INTRODUCTION

Although frailty is commonly considered as a syndrome of old individuals, recent studies show that it can affect younger adults, too. Whether and how frailty differs in younger adults compared to old is however unknown. To this end, we analyzed the prevalence, characteristics, and risk factors of early-life (aged <65) and late-life (aged ≥65) frailty.

METHODS

We analyzed individuals in the UK Biobank (N = 405,123) and Swedish Screening Across the Lifespan Twin (SALT; N = 43,641) study. Frailty index (FI) scores ≥0.21 were used to demarcate frailty. Characteristics of early-life versus late-life frailty were analyzed by collating the FI items (deficits) into domains and comparing the domain scores between younger and older frail individuals. Logistic regression was used to assess the risk factors of frailty.

RESULTS

The pooled prevalence rates of frailty were 10.3% (95% confidence interval [CI]: 2.7-32.7), 14.4% (95% CI: 4.5-37.2), 19.2% (95% CI: 2.5-68.5) in individuals aged ≤55, 55-64, 65-74, respectively. Younger frail adults (aged <65) had higher scores in immunological, mental wellbeing, and pain-related domains, whereas older frail adults (aged ≥65) had higher scores in cardiometabolic, cancer, musculoskeletal, and sensory-related domains. Higher age, female sex, smoking, lower alcohol consumption, lower education, obesity, overweight, low income, and maternal smoking were similarly associated with the risk of early-life and late-life frailty.

CONCLUSION

Frailty is prevalent also in younger age groups (aged <65) but differs in some of its characteristics from the old. The risk factors of frailty are nevertheless largely similar for early-life and late-life frailty.

Frailty after COVID-19: The wave after?

The COVID-19 pandemic poses an ongoing public health challenge, with a focus on older adults. Given the large number of older persons who have recovered from COVID-19 and reports of long-lasting sequelae, there is reasonable concern that the COVID-19 pandemic may lead to a long-term deterioration in the health of older adults, i.e., a potential "wave of frailty." Therefore, it is critical to better understand the circumstances surrounding the development of frailty as a result of COVID-19, as well as the underlying mechanisms and factors contributing to this development. We conducted a narrative review of the most relevant articles published on the association between COVID-19 and frailty through January 2023. Although few studies to date have addressed the effects of COVID-19 on the onset and progression of frailty, the available data suggest that there is indeed an increase in frailty in the elderly as a result of COVID-19. Regarding the underlying mechanisms, a multicausal genesis can be assumed, involving both direct viral effects and indirect effects, particularly from the imposed lockdowns with devastating consequences for the elderly: decreased physical activity, altered diet, sarcopenia, fatigue, social isolation, neurological problems, inflammation, and cardiovascular morbidity are among the possible mediators. Since the COVID-19 pandemic is leading to an increase in frailty in the elderly, there is an urgent need to raise awareness of this still little-known problem of potentially great public health importance and to find appropriate prevention and treatment measures.

Frailty among middle-aged and older women and men in India: findings from wave 1 of the longitudinal Ageing study in India

OBJECTIVES

Few studies have examined frailty in Indian adults, despite an increasing population of older adults and an escalating burden of chronic diseases. We aimed to study the prevalence and correlates of frailty in middle-aged and older Indian adults.

SETTING

Cross-sectional data from Wave 1 of Longitudinal Ageing Study in India, conducted in 2017-2018 across all states and union territories, were used.

PARTICIPANTS

The final analytical sample included 57 649 participants aged 45 years and above who had information on frailty status.

PRIMARY OUTCOME MEASURE

The deficits accumulation approach to measuring frailty was employed, creating a frailty index between 0 and 1, based on 40 deficits. Individuals with a frailty index of 0.25 or more were defined as 'frail'.

RESULTS

Prevalence of frailty among 45+ adults was 30%. 60+ women were two times as likely to be frail compared with 60+ men, after adjusting for a wide range of sociodemographic, economic and lifestyle factors. The sex difference was more pronounced in adults aged 45-59 years. Odds of hospitalisation in the last 12 months, and having falls in the past 2 years, were two times as high in frail adults compared with non-frail adults. Frail middle-aged and older adults had 33% and 39% higher odds, respectively, of having poor cognition than non-frail adults. The relative increase was higher in women for all three outcomes, although not statistically significant.

CONCLUSIONS

There needs to be careful consideration of sex differences when addressing frailty, particularly for optimising frailty interventions. Frailty, although typically assessed in older adults, was shown in this study to be also prevalent and associated with adverse outcomes in middle-aged Indian adults. More research into assessment of frailty in younger populations, its trajectory and correlates may help develop public health measures for prevention of frailty.

Trends in Frailty Prevalence Among Older Adults in Korea: A Nationwide Study From 2008 to 2020

BACKGROUND

We aimed to evaluate the nationwide trend of the prevalence of frailty in older adults in Korea from 2008 to 2020 to inform future geriatric healthcare policies.

METHODS

The study used data of individuals aged 65 years and older from the Korea National Health and Nutrition Examination Survey, a nationwide repeated cross-sectional survey. Frailty was defined using frailty index, classified as non-frail (frailty index ≤ 0.15), pre-frail (0.15 < frailty index ≤ 0.25), or frail (frailty index > 0.25).

RESULTS

The study included 17,784 individuals, with the mean age of 72.4 and mean frailty index of 0.2. The prevalence of frailty in older adults in South Korea decreased significantly from 2008 (41.1%) to 2020 (23.1%). The decrease in the frailty index was observed in all age groups (all P < 0.05). As components of frailty index, we found that certain comorbidities, such as dyslipidemia, diabetes mellitus, and cardiovascular disease, have increased over time, while factors such as chewing difficulty, activity limitation, and smoking, have decreased.

CONCLUSION

The prevalence of frailty in older adults in South Korea has decreased significantly during the study period. Historical improvements in healthcare access and preventive measures may have contributed to this trend.

Prevalence and outcomes of frailty in unplanned hospital admissions: a systematic review and meta-analysis of hospital-wide and general (internal) medicine cohorts

Background

Guidelines recommend routine frailty screening for all hospitalised older adults to inform care decisions, based mainly on studies in elective or speciality-specific settings. However, most hospital bed days are accounted for by acute non-elective admissions, in which the prevalence and prognostic value of frailty might differ, and uptake of screening is limited. We therefore did a systematic review and meta-analysis of frailty prevalence and outcomes in unplanned hospital admissions.

Methods

We searched MEDLINE, EMBASE and CINAHL up to 31/01/2023 and included observational studies using validated frailty measures in adult hospital-wide or general medicine admissions. Summary data on the prevalence of frailty and associated outcomes, measurement tools, study setting (hospital-wide vs general medicine), and design (prospective vs retrospective) were extracted and risk of bias assessed (modified Joanna Briggs Institute checklists). Unadjusted relative risks (RR; moderate/severe frailty vs no/mild) for mortality (within one year), length of stay (LOS), discharge destination and readmission were calculated and pooled, where appropriate, using random-effects models. PROSPERO CRD42021235663.

Findings

Among 45 cohorts (median/SD age = 80/5 years; n = 39,041,266 admissions, n = 22 measurement tools) moderate/severe frailty ranged from 14.3% to 79.6% overall (and in the 26 cohorts with low-moderate risk of bias) with considerable heterogeneity between studies (phet < 0.001) preventing pooling of results but with rates <25% in only 3 cohorts. Moderate/severe vs no/mild frailty was associated with increased mortality (n = 19 cohorts; RR range = 1.08-3.70), more consistently among cohorts using clinically administered tools (n = 11; RR range = 1.63-3.70; phet = 0.08; pooled RR = 2.53, 95% CI = 2.15-2.97) vs cohorts using (retrospective) administrative coding data (n = 8; RR range = 1.08-3.02; phet < 0.001). Clinically administered tools also predicted increasing mortality across the full range of frailty severity in each of the six cohorts that allowed ordinal analysis (all p < 0.05). Moderate/severe vs no/mild frailty was also associated with a LOS >8 days (RR range = 2.14-3.04; n = 6) and discharge to a location other than home (RR range = 1.97-2.82; n = 4) but was inconsistently related to 30-day readmission (RR range = 0.83-1.94; n = 12). Associations remained clinically significant after adjustment for age, sex and comorbidity where reported.

Interpretation

Frailty is common in older patients with acute, non-elective hospital admission and remains predictive of mortality, LOS and discharge home with more severe frailty associated with greater risk, justifying more widespread implementation of screening using clinically administered tools.

Funding

None.

Efficient representations of binarized health deficit data: the frailty index and beyond

We investigated efficient representations of binarized health deficit data using the 2001-2002 National Health and Nutrition Examination Survey (NHANES). We compared the abilities of features to compress health deficit data and to predict adverse outcomes. We used principal component analysis (PCA) and several other dimensionality reduction techniques, together with several varieties of the frailty index (FI). We observed that the FI approximates the first - primary - component obtained by PCA and other compression techniques. Most adverse outcomes were well predicted using only the FI. While the FI is therefore a useful technique for compressing binary deficits into a single variable, additional dimensions were needed for high-fidelity compression of health deficit data. Moreover, some outcomes - including inflammation and metabolic dysfunction - showed high-dimensional behaviour. We generally found that clinical data were easier to compress than lab data. Our results help to explain the success of the FI as a simple dimensionality reduction technique for binary health data. We demonstrate how PCA extends the FI, providing additional health information, and allows us to explore system dimensionality and complexity. PCA is a promising tool for determining and exploring collective health features from collections of binarized biomarkers.

Dose-Response Relationships between Diet Quality and Mortality among Frail and Non-Frail Older Adults: A Population-Based Kyoto-Kameoka Prospective Cohort Study

OBJECTIVES

Although better diet quality is inversely associated with mortality risk, the association between diet quality and mortality remains unclear in frail and non-frail older adults. Thus, we aimed to examine this association in older Japanese adults.

DESIGN

A prospective cohort study.

SETTING AND PARTICIPANTS

We used the data of 8,051 Japanese older adults aged ≥65 years in the Kyoto-Kameoka study.

MESUREMENTS

Dietary intake was estimated using a validated food frequency questionnaire. Diet quality was evaluated by calculating the adherence scores to the Japanese Food Guide Spinning Top (range, 0 [worst] to 80 [best]), which were stratified into quartiles. Frailty status was assessed using the validated self-administered Kihon Checklist (KCL) and the Fried phenotype (FP) model. Survival data were collected between February 15, 2012 and November 30, 2016. Statistical analysis was performed using the multivariate Cox proportional hazard analysis and the spline model.

RESULTS

During the median 4.75-year follow-up (36,552 person-years), we recorded 661 deaths. After adjusting for confounders, compared with the bottom adherence score quartile, the top quartile was associated with lower hazard ratio (HR) of mortality in frailty (HR, 0.73; 95% confidence interval [CI], 0.54-1.00) and non-frailty, as defined by the KCL (HR, 0.72; 95% CI, 0.52-1.01). In the spline model, regardless of frailty status defined by the KCL and FP model, adherence score showed a strongly dose-dependent inverse association with mortality up to approximately 55 points; however, no significant differences were observed thereafter. This association was similar to the results obtained in individuals with physical, cognitive, and depression as domains of KCL in the spline model.

CONCLUSIONS

Our findings demonstrate an L-shaped association between diet quality and mortality in both frail and non-frail individuals. This study may provide important knowledge for improving poor diet quality in older individuals with frailty or domains of frailty.

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.

Combined use of two frailty tools in predicting mortality in older adults

We aimed to verify the combined use of two frailty tools in predicting mortality in older adults. We used the data of 10,276 Japanese older adults (aged ≥ 65 years) who provided valid responses to two frailty assessment tools in a mail survey in Japan's Kyoto‒Kameoka Prospective cohort study. Frailty status was categorized into four groups depending on the validated frailty screening index and Kihon Checklist, respectively: Non-frailty (n = 5960), Physical frailty (n = 223), Comprehensive frailty (n = 2211), and Combination (n = 1882) groups. Mortality data were collected between July 30, 2011, and November 30, 2016. We assessed the relationship between frailty status and all-cause mortality risk using multivariate Cox proportional hazards models. During a median follow-up of 5.3 years, we recorded 1257 deaths. After adjusting for confounders, the Combination group had the highest mortality risk compared with the other groups [Non-frailty: reference; Physical frailty: hazards ratio [HR], 0.99 (95% confidence interval [CI] 0.58 to 1.70); Comprehensive frailty: 1.91 (1.63 to 2.23); Combination: 2.85 (2.44 to 3.22)]. People who are positive for frailty in both instruments have a higher risk of death than those who are positive to one model.

Effect of Vitamin D3 and Omega-3 Fatty Acid Supplementation on Risk of Frailty: An Ancillary Study of a Randomized Clinical Trial

Importance

Preventive strategies for frailty are needed. Whether supplements with anti-inflammatory properties, such as vitamin D3 or marine omega-3 fatty acids, are useful for frailty prevention is unknown.

Objective

To test the effects of vitamin D3 and omega-3 supplements on change in frailty in older individuals.

Design, Setting, and Participants

This study was conducted in 2021, as a prespecified ancillary to the Vitamin D and Omega-3 (VITAL) trial, a 2 × 2 factorial randomized clinical trial. A total of 25 871 individuals (men aged ≥50 years and women aged ≥55 years), without cancer or cardiovascular disease and with data on frailty, were recruited across all 50 US states from November 2011 to March 2014 and followed up through December 31, 2017. Data analysis for the ancillary study was conducted from December 1, 2019, to March 30, 2022.

Interventions

Vitamin D3, 2000 IU/d, and marine omega-3 fatty acids, 1 g/d.

Main Outcomes and Measures

Frailty was measured using a validated 36-item frailty index that includes measures of function, cognition, mood, and comorbidities from annual questionnaires. Change in frailty score from baseline to year 5, according to randomization, using an intention-to-treat protocol, was assessed using repeated measures. Cox proportional hazards regression models assessed incident frailty. In subgroup analysis, an alternative frailty definition, the physical phenotype, was used as a sensitivity analysis.

Results

Of 25 871 VITAL trial participants randomized, 25 057 had sufficient data to calculate a frailty index. Baseline mean (SD) age was 67.2 (7.0) years, and 12 698 (50.7.%) were women. Mean (SD) frailty score was 0.109 (0.090) (range, 0.00-0.685), and 3174 individuals (12.7%) were frail. During a median 5-year follow-up, mean (SD) frailty scores increased to 0.121 (0.099) (range, 0.00-0.792). Neither vitamin D3 nor omega-3 fatty acid supplementation affected mean frailty scores over time (mean difference at year 5: vitamin D3, -0.0002; P = .85; omega-3 fatty acid, -0.0001; P = .90) or rate of change in mean frailty score (interaction with time: vitamin D3; P = .98; omega-3 fatty acid; P = .13) Incident frailty remained similar over time (interaction with time: vitamin D3, P = .90; omega-3 fatty acid; P = .32). Results were unchanged using the frailty physical phenotype.

Conclusions and Relevance

In this ancillary study of the VITAL randomized clinical trial, treatment with vitamin D3 or omega-3 fatty acid supplementation, compared with placebo, did not affect the rate of frailty change or incidence over time. These results do not support routine use of either vitamin D3 or omega-3 fatty acid supplementation for frailty prevention in generally healthy community-dwelling older adults not selected for vitamin D3 deficiency.

Trial Registration

ClinicalTrials.gov Identifier: NCT01169259.

Effect of the GERAS DANcing for Cognition and Exercise Program on Physical Function in Older Adults

GERAS DANcing for Cognition and Exercise is a therapeutic dance program for older adults with cognitive or mobility impairments. Using a pre-/posttest study design, we investigated the effect of 12 weeks of dance on the short performance physical battery (SPPB). In 107 participants aged 61-93 (mean 76.1, SD = 7.0; 20% men), over 90% had multifrailty and/or cognitive impairment. The mean attendance rate was 18/24 classes (75%). A substantial minimal clinically important difference (>0.4) occurred for SPPB total (+0.53, SD = 2.04, p = .002) and chair stands (+0.45, SD = 0.92, p < .001). Individuals with baseline SPPB ≤8 points (n = 38)-indicative of sarcopenia and physical frailty-had the most marked improvement (SPPB total: +1.45, SD = 1.97, p < .001; balance: +0.65, SD = 1.27, p = .006; chair stands: +0.68, SD = 0.97, p < .001). GERAS DANcing for Cognition and Exercise may be a promising rehabilitation intervention to improve daily physical function.

Diet quality and physical or comprehensive frailty among older adults

PURPOSE

While the association between diet quality and mortality has been previously demonstrated, the association between frailty and diet quality has not been evaluated well. This study aimed to investigate the association between diet quality and prevalence of both physical and comprehensive frailty, using two validated tools, in a community-based cohort of older adults.

METHODS

We conducted cross-sectional analyses using baseline data of 7022 participants aged ≥ 65 years in the Kyoto-Kameoka study. Diet quality was assessed by calculating the adherence scores to the Japanese Food Guide Spinning Top using a validated questionnaire; the participants were stratified into quartile groups based on these scores. Physical and comprehensive frailty was assessed using the Fried phenotype model-based Frailty Screening Index and the Kihon Checklist, respectively. Multivariable logistic regression and the restricted cubic spline model were used to calculate odds ratios (ORs) and their 95% confidence intervals (CIs) for associations between adherence scores and frailty prevalence.

RESULTS

Higher adherence scores signified a higher intake of vitamin C, vegetables, dairy products, and fruits. Physical and comprehensive frailty prevalence was 14.2 and 35.8%, respectively. In a multivariable adjusted model, compared with the bottom adherence score quartile, the top quartile was associated with lower ORs of physical (OR 0.64; 95% CI 0.52-0.80) and comprehensive frailty (OR 0.60; 95% CI 0.51-0.71). These relationships were similar to results in the spline model.

CONCLUSIONS

This study shows an inverse dose-response relationship between diet quality and prevalence of both physical and comprehensive frailty in older adults.

Frailty in COPD: an analysis of prevalence and clinical impact using UK Biobank

BACKGROUND

Frailty, a state of reduced physiological reserve, is common in people with chronic obstructive pulmonary disease (COPD). Frailty can occur at any age; however, the implications in younger people (eg, aged <65 years) with COPD are unclear. We assessed the prevalence of frailty in UK Biobank participants with COPD; explored relationships between frailty and forced expiratory volume in 1 second (FEV1) and quantified the association between frailty and adverse outcomes.

METHODS

UK Biobank participants (n=3132, recruited 2006-2010) with COPD aged 40-70 years were analysed comparing two frailty measures (frailty phenotype and frailty index) at baseline. Relationship with FEV1 was assessed for each measure. Outcomes were mortality, major adverse cardiovascular event (MACE), all-cause hospitalisation, hospitalisation with COPD exacerbation and community COPD exacerbation over 8 years of follow-up.

RESULTS

Frailty was common by both definitions (17% frail using frailty phenotype, 28% moderate and 4% severely frail using frailty index). The frailty phenotype, but not the frailty index, was associated with lower FEV1. Frailty phenotype (frail vs robust) was associated with mortality (HR 2.33; 95% CI 1.84 to 2.96), MACE (2.73; 1.66 to 4.49), hospitalisation (incidence rate ratio 3.39; 2.77 to 4.14) hospitalised exacerbation (5.19; 3.80 to 7.09) and community exacerbation (2.15; 1.81 to 2.54), as was frailty index (severe vs robust) (mortality (2.65; 95% CI 1.75 to 4.02), MACE (6.76; 2.68 to 17.04), hospitalisation (3.69; 2.52 to 5.42), hospitalised exacerbation (4.26; 2.37 to 7.68) and community exacerbation (2.39; 1.74 to 3.28)). These relationships were similar before and after adjustment for FEV1.

CONCLUSION

Frailty, regardless of age or measure, identifies people with COPD at risk of adverse clinical outcomes. Frailty assessment may aid risk stratification and guide-targeted intervention in COPD and should not be limited to people aged >65 years.

Validation of the Kihon Checklist and the frailty screening index for frailty defined by the phenotype model in older Japanese adults

BACKGROUND

The term "frailty" might appear simple, but the methods used to assess it differ among studies. Consequently, there is inconsistency in the classification of frailty and predictive capacity depending on the frailty assessment method utilised. We aimed to examine the diagnostic accuracy of several screening tools for frailty defined by the phenotype model in older Japanese adults.

METHODS

This cross-sectional study included 1,306 older Japanese adults aged ≥ 65 years who underwent physical check-up by cluster random sampling as part of the Kyoto-Kameoka Study in Japan. We evaluated the diagnostic accuracy of several screening instruments for frailty using the revised Japanese version of the Cardiovascular Health Study criteria as the reference standard. These criteria are based on the Fried phenotype model and include five elements: unintentional weight loss, weakness (grip strength), exhaustion, slowness (normal gait speed), and low physical activity. The Kihon Checklist (KCL), frailty screening index (FSI), and self-reported health were evaluated using mailed surveys. We calculated the non-parametric area under the receiver operating characteristic curve (AUC ROC) for several screening tools against the reference standard.

RESULTS

The participants' mean (standard deviation) age was 72.8 (5.5) years. The prevalence of frailty based on the Fried phenotype model was 12.2% in women and 10.3% in men. The AUC ROC was 0.861 (95% confidence interval: 0.832-0.889) for KCL, 0.860 (0.831-0.889) for FSI, and 0.668 (0.629-0.707) for self-reported health. The cut-off for identifying frail individuals was ≥ 7 points in the KCL and ≥ 2 points in the FSI.

CONCLUSIONS

Our results indicated that the two instruments (KCL and FSI) had sufficient diagnostic accuracy for frailty based on the phenotype model for older Japanese adults. This may be useful for the early detection of frailty in high-risk older adults.

A multi-centre cohort study on healthcare use due to medication-related harm: the role of frailty and polypharmacy

OBJECTIVES

To determine the association between frailty and medication-related harm requiring healthcare utilisation.

DESIGN

Prospective observational cohort study.

SETTING

Six primary and five secondary care sites across South East England, September 2013-November 2015.

PARTICIPANTS

One thousand and two hundred and eighty participants, ≥65 years old, who were due for discharge from general medicine and older persons' wards following an acute episode of care. Exclusion criteria were limited life expectancy, transfer to another hospital and consent not gained.

MAIN OUTCOME MEASURES

Medication-related harm requiring healthcare utilisation (including primary, secondary or tertiary care consultations related to MRH), including adverse drug reactions, non-adherence and medication error determined via the review of data from three sources: patient/carer reports gathered through a structured telephone interview; primary care medical record review; and prospective consultant-led review of readmission to recruiting hospital. Frailty was measured using a Frailty Index, developed using a standardised approach. Marginal estimates were obtained from logistic regression models to examine how probabilities of healthcare service use due to medication-related harm were associated with increasing number of medicines and frailty.

RESULTS

Healthcare utilisation due to medication-related harm was significantly associated with frailty (OR = 10.06, 95% CI 2.06-49.26, P = 0.004), independent of age, gender, and number of medicines. With increasing frailty, the need for healthcare use as a result of MRH increases from a probability of around 0.2-0.4. This is also the case for the number of medicines.

CONCLUSIONS

Frailty is associated with MRH, independent of polypharmacy. Reducing the burden of frailty through an integrated health and social care approach, alongside strategies to reduce inappropriate polypharmacy, may reduce MRH related healthcare utilisation.

Longevity leap: mind the healthspan gap

Life expectancy has increased by three decades since the mid-twentieth century. Parallel healthspan expansion has however not followed, largely impeded by the pandemic of chronic diseases afflicting a growing older population. The lag in quality of life is a recognized challenge that calls for prioritization of disease-free longevity. Contemporary communal, clinical and research trends aspiring to extend the health horizon are here outlined in the context of an evolving epidemiology. A shared action integrating public and societal endeavors with emerging interventions that target age-related multimorbidity and frailty is needed. A multidimensional buildout of a curative perspective, boosted by modern anti-senescent and regenerative technology with augmented decision making, would require dedicated resources and cost-effective validation to responsibly bridge the healthspan-lifespan gap for a future of equitable global wellbeing.

The degree of frailty as a translational measure of health in aging

Frailty is a multiply determined, age-related state of increased risk for adverse health outcomes. We review how the degree of frailty conditions the development of late-life diseases and modifies their expression. The risks for frailty range from subcellular damage to social determinants. These risks are often synergistic-circumstances that favor damage also make repair less likely. We explore how age-related damage and decline in repair result in cellular and molecular deficits that scale up to tissue, organ and system levels, where they are jointly expressed as frailty. The degree of frailty can help to explain the distinction between carrying damage and expressing its usual clinical manifestations. Studying people-and animals-who live with frailty, including them in clinical trials and measuring the impact of the degree of frailty are ways to better understand the diseases of old age and to establish best practices for the care of older adults.