Measures of frailty in population-based studies: an overview

Perioperative Pulmonary Complications in the Older Adults: The Forgotten System

With a rapidly aging population and increasing global surgical volumes, managing the elevated risk of perioperative pulmonary complications has become an expanding focus for quality improvement in health care. In this narrative review, we will analyze the evidence-based literature to provide high-quality and actionable management strategies to better detect, stratify risk, optimize, and manage perioperative pulmonary complications in geriatric populations.

Frailty index, frailty phenotype and 6-year mortality trends in the FRASNET cohort

Background

Frailty, a geriatric syndrome associated with adverse outcomes, lacks a universal definition. No consensus exists on the most effective frailty scale for predicting mortality.

Methods

This prospective observational study followed community-dwelling volunteers for 6 years. Frailty was measured with the Frailty Index (FI) and the Frailty Phenotype (FP). Concordance was assessed using Cohen's Kappa coefficients. Age-and sex-adjusted Cox regression analyses were conducted to evaluate the association with mortality.

Results

Out of 1,114 participants (median age 72 years, IQR 69-77), 186 were classified as frail by the FI, 13 by the FP and 48 by both definitions. The concordance between the two measures was fair (κ = 0.26). Thirty-nine individuals died during the follow-up period. The FI showed a stronger association with mortality (HR 75.29, 95% CI 8.12-697.68, p < 0.001) compared to the FP (HR 3.3, 95% CI 1.45-7.51, p = 0.004). Individuals classified as frail by both definitions had the highest mortality risk and the highest FI scores (median 0.36).

Conclusion

Definitions of frailty identify different individuals as frail. The FI was more closely related to mortality than the FP. Individuals classified as frail according to both definitions displayed the highest complexity (corresponding also ho higher FI scores) and the greatest mortality. The FI demonstrated a more accurate ability to predict mortality due to its comprehensive nature.

Age Is Just a Number for Older Kidney Transplant Patients

The rise in the mean age of the global population has led to an increase in older kidney transplant (KT) patients. This demographic shift, coupled with the ongoing organ shortage, requires a nuanced understanding of which older adults are most suitable for KT. Recognizing the increased heterogeneity among older adults and the limitations of solely relying on chronological age, there is a need to explore alternative aging metrics beyond chronological age. In this review, we discuss the impact of older age on access to KT and postoperative outcomes. Emphasizing the need for a comprehensive evaluation that extends beyond chronological age, we explore alternative aging metrics such as frailty, sarcopenia, and cognitive function, underscoring their potential role in enhancing the KT evaluation process. Most importantly, we aim to contribute to the ongoing discourse, fostering an optimized approach to KT for the rapidly growing population of older adults.

Physical activity and sedentary behaviour interventions for people living with both frailty and multiple long-term conditions and their informal carers: a scoping review and stakeholder consultation

INTRODUCTION

This scoping review mapped evidence on physical activity (including structured exercise) and sedentary behaviour interventions (interventions to reduce sedentary behaviour) in people living with both frailty and multiple long-term conditions (MLTCs) and their informal carers.

METHODS

Ten databases and grey literature were searched from 2000 to October 2023. Two reviewers screened studies and one extracted data. Results were shared with three stakeholder groups (n = 21) in a consultation phase.

RESULTS

After screening, 155 papers from 144 studies (1 ongoing) were retained. The majority were randomised controlled trials (86, 55%). Participants' mean age was 73 ± 12 years, and 73% were of White ethnicity. MLTC and frailty measurement varied widely. Most participants were pre-to-moderately frail. Physical health conditions predominated over mental health conditions.Interventions focused on structured exercise (83 studies, 60%) or combined interventions (55 studies, 39%). Two (1%) and one (0.7%) focused solely on habitual physical activity or sedentary behaviour. Adherence was 81% (interquartile range 62%-89%) with goal setting, monitoring and support important to adherence. Carers were only involved in 15 (11%) studies. Most interventions reported positive outcomes, primarily focusing on body functions and structures.

CONCLUSIONS

A modest volume of evidence exists on multicomponent structured exercise interventions, with less focus on habitual physical activity and sedentary behaviour. Interventions report largely positive effects, but an updated systematic review is required. The field could be advanced by more rigorous characterisation of MLTCs, socioeconomic status and ethnicity, increased informal carer involvement and further evaluation of habitual physical activity and sedentary behaviour interventions.

Socioeconomic Inequalities in Frailty Distribution: A Cross-National Comparison of the United States and England

OBJECTIVES

The objective of this study is to examine differences in socioeconomic gradients (i.e., education, income, and wealth) in frailty by gender in the United States and England.

METHODS

We used harmonized data from the Health and Retirement Study and the English Longitudinal Study of Ageing in 2016. Frailty status was determined from measured and self-reported signs and symptoms in 5 domains: unintentional weight loss, exhaustion, low physical activity, slow walking speed, and weakness. Respondents were classified as robust (no signs or symptoms of frailty), prefrail (signs or symptoms in 1-2 domains), or frail (signs or symptoms in 3 or more domains). Gender-stratified multinomial logistic regression models were used to assess the relationship between educational attainment, household income, and household wealth with the risk of frailty and prefrailty, with and without covariates. We also calculated the slope index of inequalities on the predicted probabilities of frailty by income and wealth quintiles.

RESULTS

We found socioeconomic gradients in prefrailty and frailty by education, income, and wealth. Furthermore, the educational gradient in frailty was significantly steeper for U.S. women compared to English women, and the income gradient was steeper for U.S. men and women compared to English men and women. The between-country differences were not accounted for by adjusting for race/ethnicity and behavioral factors.

DISCUSSION

Socioeconomic gradients in prefrailty and frailty differ by country setting and gender, suggesting contextual factors such as cultural norms, healthcare access and quality, and economic policy may contribute to the effect of different measures of socioeconomic status on prefrailty and frailty risk.

A scoping review of the measurement and analysis of frailty in randomised controlled trials

BACKGROUND

Frailty is of increasing interest in trials, either as a target of intervention, as an outcome or as a potential treatment modifier. However, frailty measurement is often highly variable. This scoping review assessed how frailty is quantified in randomised controlled trials (RCTs), in what context and for what purposes.

METHODS

We searched five electronic databases for RCTs in which frailty was measured among trial participants. We extracted data on intervention type, the frailty measure used and the purpose for which frailty was assessed. We then compared these data according to reasons for frailty assessment.

RESULTS

We identified 415 RCTs assessing frailty across a range of interventions. Frailty was used to define the target population (166 trials), as an outcome (156 trials), as an effect modifier examining interaction of frailty on treatment effect (61 trials), as a purely descriptive characteristic (42 trials) or as a prognostic marker examining the impact of frailty on future health outcome (78 trials). The trials used 28 different measures of frailty (plus 29 additional trial-specific measures). The frailty phenotype model was the most common overall (164 trials), for defining the target population (90/166 trials) and as an outcome (81/156 trials). The cumulative deficit model frailty index was also frequently used (102 trials) and was most common among trials assessing treatment effect modification (21/61 trials).

CONCLUSION

Frailty measurement in RCTs is highly variable. Understanding the properties of respective frailty measures and how these relate to frailty as encountered in clinical practice is a priority to ensure that trial findings can inform healthcare delivery for people living with frailty.

Identifying modifiable factors and their joint effect on frailty: a large population-based prospective cohort study

A thorough understanding and identification of potential determinants leading to frailty are imperative for the development of targeted interventions aimed at its prevention or mitigation. We investigated the potential determinants of frailty in a cohort of 469,301 UK Biobank participants. The evaluation of frailty was performed using the Fried index, which encompasses measurements of handgrip strength, gait speed, levels of physical activity, unintentional weight loss, and self-reported exhaustion. EWAS including 276 factors were first conducted. Factors associated with frailty in EWAS were further combined to generate composite scores for different domains, and joint associations with frailty were evaluated in a multivariate logistic model. The potential impact on frailty when eliminating unfavorable profiles of risk domains was evaluated by PAFs. A total of 21,020 (4.4%) participants were considered frailty, 192,183 (41.0%) pre-frailty, and 256,098 (54.6%) robust. The largest EWAS identified 90 modifiable factors for frailty across ten domains, each of which independently increased the risk of frailty. Among these factors, 67 have the potential to negatively impact health, while 23 have been found to have a protective effect. When shifting all unfavorable profiles to intermediate and favorable ones, overall adjusted PAF for potentially modifiable frailty risk factors was 85.9%, which increases to 86.6% if all factors are transformed into favorable tertiles. Health and medical history, psychosocial factors, and physical activity were the most significant contributors, accounting for 11.9%, 10.4%, and 10.1% respectively. This study offers valuable insights for developing population-level strategies aimed at preventing frailty.

Frailty Status, Sedentary Behaviors, and Risk of Incident Bone Fractures

BACKGROUND

The associations of physical pre-frailty and frailty with bone fractures and the modified effect of sedentary lifestyle remain uncertain. This study was performed to explore the association of physical pre-frailty and frailty with risk of incident bone fractures, and test the modification effects of sedentary lifestyle and other risk factors.

METHODS

This cohort study included 413 630 participants without bone fractures at baseline in the UK Biobank study between 2006 and 2010 and followed up to 2021. The mean age of the participants was 56.5 years. A total of 224 351 (54.2%) enrolled participants were female and 376 053 (90.9%) included participants were White. Three Cox regression models were constructed to analyze the association of pre-frailty and frailty with total fractures, hip fractures, vertebrae fractures, and other fractures.

RESULTS

As compared with the physical nonfrailty group, the multivariate-adjusted hazard ratios were 1.17 (95% confidence interval [CI]: 1.14-1.21) and 1.63 (95% CI: 1.53-1.74) for the physical pre-frailty group and frailty group, respectively (p-trend < .001). In addition, we found that sedentary behavior time significantly accentuated the associations of physical pre-frailty and frailty with total fractures (p-interaction <.001), hip fractures (p-interaction = .013), and other fractures (p-interaction <.001).

CONCLUSIONS

Our results indicate that physical pre-frailty and frailty are related to higher risks of bone fractures; such association was more pronounced among those with longer sedentary behavior time.

Inappropriate prescribing and association with readmission or mortality in hospitalised older adults with frailty: a systematic review and meta-analysis

BACKGROUND

Inappropriate prescribing (IP) is common in hospitalised older adults with frailty. However, it is not known whether the presence of frailty confers an increased risk of mortality and readmissions from IP nor whether rectifying IP reduces this risk. This review was conducted to determine whether IP increases the risk of adverse outcomes in hospitalised middle-aged and older adults with frailty.

METHODS

A systematic review was conducted on IP in hospitalised middle-aged (45-64 years) and older adults (≥ 65 years) with frailty. This review considered multiple types of IP including potentially inappropriate medicines, prescribing omissions and drug interactions. Both observational and interventional studies were included. The outcomes were mortality and hospital readmissions. The databases searched included MEDLINE, CINAHL, EMBASE, World of Science, SCOPUS and the Cochrane Library. The search was updated to 12 July 2024. Meta-analysis was performed to pool risk estimates using the random effects model.

RESULTS

A total of 569 studies were identified and seven met the inclusion criteria, all focused on the older population. One of the five observational studies found an association between IP and emergency department visits and readmissions at specific time points. Three of the observational studies were amenable to meta-analysis which showed no significant association between IP and hospital readmissions (OR 1.08, 95% CI 0.90-1.31). Meta-analysis of the subgroup assessing Beers criteria medicines demonstrated that there was a 27% increase in the risk of hospital readmissions (OR 1.27, 95% CI 1.03-1.57) with this type of IP. In meta-analysis of the two interventional studies, there was a 37% reduced risk of mortality (OR 0.63, 95% CI 0.40-1.00) with interventions that reduced IP compared to usual care but no difference in hospital readmissions (OR 0.83, 95% CI 0.19-3.67).

CONCLUSIONS

Interventions to reduce IP were associated with reduced risk of mortality, but not readmissions, compared to usual care in older adults with frailty. The use of Beers criteria medicines was associated with hospital readmissions in this group. However, there was limited evidence of an association between IP more broadly and mortality or hospital readmissions. Further high-quality studies are needed to confirm these findings.

Health-related quality of life measures provide information on the contributors, components, and consequences of frailty in HIV: a systematic mapping review

PURPOSE

Frailty in HIV is extensively explored in epidemiological and clinical studies; it is infrequently assessed as an outcome in routine care. The focus on health-related quality of life (HRQL) measures in HIV presents a unique opportunity to understand frailty at a larger scale. The objective was to identify the extent to which generic and HIV-related HRQL measures capture information relevant to frailty.

METHODS

A systematic mapping review using directed and summative content analyses was conducted. An online search in PubMed/Medline identified publications on frailty indices and generic and HIV-related HRQL measures. Directed content analysis involved identifying contributors, components, and consequences of frailty from the frailty indices based on the International Classification of Functioning, Disability, and Health framework. Summative content analysis summarized the results numerically.

RESULTS

Electronic and hand search identified 447 review publications for frailty indices; nine reviews that included a total of 135 unique frailty indices. The search for generic and HIV-related HRQL measures identified 2008 records; five reviews that identified 35 HRQL measures (HIV-specific: 17; generic: 18). Of the 135 frailty indices, 88 cover more than one frailty dimension and 47 cover only physical frailty. Contributors to frailty, like sensory symptoms and nutrition, are extensively covered. Components of frailty such as physical capacity, cognitive ability, and mood are also extensively covered. Consequences of frailty namely self-rated health, falls, hospitalization, and health services utilization are incomprehensively covered. HRQL measures are informative for contributing factors, components of frailty, and a consequence of frailty.

CONCLUSION

HRQL items and measures show a strong potential to operationalize multidimensional frailty and physical frailty. The study suggests that these measures, connected to evidence-based interventions, could be pivotal in directing resources toward vulnerable populations to mitigate the onset of frailty.

Prevalence, perceptions, and experiences of frailty among older migrants from Low- and Middle-Income Countries to High Income Countries: A mixed method systematic review

BACKGROUND

Frailty is increasingly becoming a public health concern, especially among vulnerable populations. Older migrants from Low- and Middle-Income Countries to High Income Countries present with poorer health and are at increased risk of becoming frail. This review aims to explore the prevalence, perceptions, and experiences of frailty among older migrants from Low- and Middle-Income Countries to High Income Countries.

METHODS

This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis. Five electronic databases were comprehensively searched for relevant literature published from January 1, 2000, to April 30, 2023. Quality appraisal for the quantitative studies was done with the Joanna Brigg's critical appraisal tool for analytic cross-sectional studies, and the qualitative studies were assessed with the Critical Appraisal Skill Program tool for qualitative studies.

RESULT

Seven studies met the inclusion criteria. Frailty was assessed using modified versions of the Frailty Phenotype and Frailty Index. The prevalence of frailty using the Frailty Phenotype was 16.6 %, and 17 % to 61.9 % according to the Frailty Index. The perceptions and experiences of frailty were characterised by chronic ill-health and a review of healthy pre-migration and early migration lives.

CONCLUSION

Despite the variation in frailty assessment methods, the high prevalence of frailty among older migrants was highlighted across the included studies. The perceptions and experiences of frailty reflect a state of resignation which can complicate the state of frailty. There is the need for ongoing research among migrant groups to identify their predisposition to frailty for early intervention.

Frailty and Metabolic Vulnerability in Heart Failure: A Community Cohort Study

BACKGROUND

Frailty is common in heart failure (HF) and is associated with death but not routinely captured clinically. Frailty is linked with inflammation and malnutrition, which can be assessed by a novel plasma multimarker score: the metabolic vulnerability index (MVX). We sought to evaluate the associations between frailty and MVX and their prognostic impact.

METHODS AND RESULTS

In an HF community cohort (2003-2012), we measured frailty as a proportion of deficits present out of 32 physical limitations and comorbidities, MVX by nuclear magnetic resonance spectroscopy, and collected extensive longitudinal clinical data. Patients were categorized by frailty score (≤0.14, >0.14 and ≤0.27, >0.27) and MVX score (≤50, >50 and ≤60, >60 and ≤70, >70). Cox models estimated associations of frailty and MVX with death, adjusted for Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score and NT-proBNP (N-terminal pro-B-type natriuretic peptide). Uno's C-statistic measured the incremental value of MVX beyond frailty and clinical factors. Weibull's accelerated failure time regression assessed whether MVX mediated the association between frailty and death. We studied 985 patients (median age, 77; 48% women). Frailty and MVX were weakly correlated (Spearman's ρ=0.21). The highest frailty group experienced an increased rate of death, independent of MVX, MAGGIC score, and NT-proBNP (hazard ratio, 3.3 [95% CI, 2.5-4.2]). Frailty improved Uno's c-statistic beyond MAGGIC score and NT-proBNP (0.69-0.73). MVX only mediated 3.3% and 4.5% of the association between high and medium frailty groups and death, respectively.

CONCLUSIONS

In this HF cohort, frailty and MVX are weakly correlated. Both independently contribute to stratifying the risk of death, suggesting that they capture distinct domains of vulnerability in HF.

Assessment and Management of Atrial Fibrillation in Older Adults with Frailty

Atrial fibrillation (AF) is a major driver of morbidity and mortality among older adults with frailty. Moreover, frailty is highly prevalent in older adults with AF. Understanding and addressing the needs of frail older adults with AF is imperative to guide clinicians caring for older adults. In this review, we summarize current evidence to support the assessment and management of older adults with AF and frailty, incorporating numerous recent landmark trials and studies in the context of the 2023 US AF guideline.

The measurement properties and feasibility of FRAIL scale in older adults: A systematic review and meta-analysis

Frailty is a prevalent condition amongst older adults, significantly affecting their quality of life. The FRAIL tool has been purposefully designed for clinical application by assisting healthcare professionals in identifying and managing frailty-related issues in older adults, making it a preferred choice for assessing frailty across diverse older populations. This review aimed to synthesize the measurement properties and feasibility of FRAIL. Guided by COSMIN guidelines, seven databases were searched from inception to 31 Mar 2023. The measurement properties were extracted for quality appraisal of the populations in the studied samples. Where possible, random-effects meta-analysis and meta-regression were used for quantitative synthesis. Eighteen articles containing 273 tests were drawn from 14 different populations. We found that populations testing for criterion validity had high-quality ratings, while construct validity ratings varied based on health status and geographical region. Test-retest reliability had sufficient quality ratings, while scale agreement had sufficient ratings in only four out of 14 populations tested. Responsiveness ratings were insufficient in seven out of eight populations, with inconsistent ratings in one population. Our analysis of missing data across three articles showed a 16.3% rate, indicating good feasibility of the FRAIL. FRAIL is a feasible tool for assessing frailty of older adults in community settings, with good criterion validity and test-retest reliability. However, more research is needed on construct validity and responsiveness.

Comparison of three frailty measures for predicting hospitalization and mortality in the Canadian Longitudinal Study on Aging

BACKGROUND

Few studies have compared different measures of frailty for predicting adverse outcomes. It remains unknown which frailty measurement approach best predicts healthcare utilization such as hospitalization and mortality.

AIMS

This study aims to compare three approaches to measuring frailty-grip strength, frailty phenotype, and frailty index-in predicting hospitalization and mortality among middle-aged and older Canadians.

METHODS

We analyzed baseline and the first 3-year follow-up data for 30,097 participants aged 45 to 85 years from the comprehensive cohort of the Canadian Longitudinal Study on Aging (CLSA). Using separate logistic regression models adjusted for multimorbidity, age and biological sex, we predicted participants' risks for overnight hospitalization in the past 12 months and mortality, at the first 3-year follow-up, using each of the three frailty measurements at baseline. Model discrimination was assessed using Harrell's c-statistic and calibration assessed using calibration plots.

RESULTS

The predictive performance of all three measures of frailty were roughly similar when predicting overnight hospitalization and mortality risk among CLSA participants. Model discrimination measured using c-statistics ranged from 0.67 to 0.69 for hospitalization and 0.79 to 0.80 for mortality. All measures of frailty yielded strong model calibration.

DISCUSSION AND CONCLUSION

All three measures of frailty had similar predictive performance. Discrimination was modest for predicting hospitalization and superior in predicting mortality. This likely reflects the objective nature of mortality as an outcome and the challenges in reducing the complex concept of healthcare utilization to a single variable such as any overnight hospitalization.

Screening for Frailty Using the FRAIL Scale in Older Cancer Survivors: A Cross-sectional Comparison With the Fried Phenotype

OBJECTIVES

To examine the diagnostic performance of the FRAIL Scale for frailty screening with reference to the Fried phenotype and investigate its association with health outcomes in older cancer survivors.

DATA SOURCE

In this cross-sectional quantitative study, participants were post-treatment cancer survivors aged 65 or above. Measurements included the FRAIL Scale, Fried phenotype, Geriatric Depression Scale-15 item, Modified Barthel Inventory, and EORTC Core Quality of Life Questionnaire. Receiver operating characteristic curve analysis was performed to evaluate the diagnostic performance of the FRAIL Scale with reference to the Fried phenotype. Health outcomes associated with being frail as estimated by the FRAIL Scale and Fried phenotype were also examined using regressions.

RESULTS

Based on 293 older cancer survivors, the area under curve (AUC) of the FRAIL Scale was 0.79, and the optimal cut-off of 1 yielded a sensitivity of 92% and specificity of 41%. According to regression results, the FRAIL Scale was modified by adding an item on time since cancer treatment completion (AUC = 0.81), and using a cut-off of 2 for older cancer survivors, which yielded a sensitivity of 74% and specificity of 67%. The modified FRAIL Scale was associated with depressive symptoms, functional independence, fatigue, dyspnea, physical functioning, and role functioning.

CONCLUSIONS

The modified FRAIL Scale is proposed for use in older cancer survivors, and a cut-off of 2 should be used.

IMPLICATIONS FOR NURSING PRACTICE

The modified FRAIL Scale can serve as a brief screening tool for identifying frailty among older cancer survivors in practice.

A Frailty Index to Predict Mortality, Resource Utilization and Costs in Patients Undergoing Coronary Artery Bypass Graft Surgery in Ontario

Background

People living with frailty are vulnerable to poor outcomes and incur higher health care costs after coronary artery bypass graft (CABG) surgery. Frailty-defining instruments for population-level research in the CABG setting have not been established. The objectives of the study were to develop a preoperative frailty index for CABG (pFI-C) surgery using Ontario administrative data; assess pFI-C suitability in predicting clinical and economic outcomes; and compare pFI-C predictive capabilities with other indices.

Methods

A retrospective cohort study was conducted using health administrative data of 50,682 CABG patients. The pFI-C comprised 27 frailty-related health deficits. Associations between index scores and mortality, resource use and health care costs (2022 Canadian dollars [CAD]) were assessed using multivariable regression models. Capabilities of the pFI-C in predicting mortality were evaluated using concordance statistics; goodness of fit of the models was assessed using Akakie Information Criterion.

Results

As assessed by the pFI-C, 22% of the cohort lived with frailty. The pFI-C score was strongly associated with mortality per 10% increase (odds ratio [OR], 3.04; 95% confidence interval [CI], [2.83,3.27]), and was significantly associated with resource utilization and costs. The predictive performances of the pFI-C, Charlson, and Elixhauser indices and Johns Hopkins Aggregated Diagnostic Groups were similar, and mortality models containing the pFI-C had a concordance (C)-statistic of 0.784. Cost models containing the pFI-C showed the best fit.

Conclusions

The pFI-C is predictive of mortality and associated with resource utilization and costs during the year following CABG. This index could aid in identifying a subgroup of high-risk CABG patients who could benefit from targeted perioperative health care interventions.

Frailty prevalence and efficient screening in primary care-based memory clinics

BACKGROUND

Little is known about the prevalence of frailty among patients with memory concerns attending a primary care-based memory clinic.

OBJECTIVE

This study aims to describe the prevalence of frailty among patients attending a primary care-based memory clinic and to determine if prevalence rates differ based on the screening tool that is used.

METHODS

We conducted a retrospective medical record review for all consecutive patients assessed in a primary care-based memory clinic over 8 months. Frailty was measured in 258 patients using the Fried frailty criteria, which relies on physical measures, and the Clinical Frailty Scale (CFS), which relies on functional status. Weighted kappa statistics were calculated to compare the Fried frailty and the CFS.

RESULTS

The prevalence of frailty was 16% by Fried criteria and 48% by the CFS. Agreement between Fried frailty and CFS was fair for CFS 5+ (kappa = 0.22; 95% confidence interval: 0.13, 0.32) and moderate for CFS 6+ (kappa = 0.47; 0.34, 0.61). Dual-trait measures of hand grip strength with gait speed were found to be a valid proxy for Fried frailty phenotype.

CONCLUSIONS

Among primary care patients with memory concerns, frailty prevalence rates differed based on the measure used. Screening for frailty in this population using measures relying on physical performance may be a more efficient approach for persons already at risk of further health instability from cognitive impairment. Our findings demonstrate how measure selection should be based on the objectives and context in which frailty screening occurs.

Impact of Exercise Interventions on Sustained Brain Health Outcomes in Frail Older Individuals: A Comprehensive Review of Systematic Reviews

Several systematic review studies highlight exercise's positive impact on brain health outcomes for frail individuals. This study adopts a Comprehensive Review of reviews (CRs) approach to amalgamate data from existing reviews, focusing on exercise's influence on brain health outcomes in older frail and pre-frail adults. The methodology involves a thorough search of Portuguese, Spanish, and English-indexed databases (i.e., Ebsco Health, Scielo, ERIC, LILACS, Medline, Web of Science, SportDiscus) from 1990 to 2022, with the AMSTAR-2 tool assessing evidence robustness. The search terms "physical exercise", "elderly frail", and "systematic review" were employed. Results: Out of 12 systematically reviewed studies, four presented high-quality (with metanalyses), while eight exhibit critically low quality. Positive trends emerge in specific cognitive and neuromotor aspects, yet challenges persist in psychosocial domains, complex cognitive tasks, and ADL outcomes. This study yields reasonable and promising evidence regarding exercise's influence on quality of life and depression in frail older individuals. However, the impact on biochemical markers remains inconclusive, emphasizing the need for standardized methodologies. Conclusions: The findings highlight the importance of acknowledging methodological nuances for clinicians and policymakers when translating these results into impactful interventions for aging populations. This emphasizes the necessity for a comprehensive and customized approach to exercise interventions aimed at fostering the sustainability of overall well-being in older individuals, aligning with United Nations Sustainable Development Goal 3.

Frailty and pre-frailty with long-term risk of elderly-onset inflammatory bowel disease: A large-scale prospective cohort study

PURPOSE

To investigate the prospective association of frailty status with the long-term risk of elderly-onset IBD in a large prospective cohort.

METHODS

Participants free of IBD and cancer at enrollment from the UK Biobank cohort were included. Baseline pre-frail and frail status was measured by Fried phenotype including weight loss, exhaustion, low grip strength, low physical activity and slow walking pace, defined as meeting one or two criteria and meeting three or more criteria. Primary outcome was elderly-onset IBD, including elderly-onset ulcerative colitis (UC) and Crohn's disease (CD). Multivariable Cox regression was conducted to examine the related associations.

RESULTS

Overall, 417,253 participants (aged 56.18 ± 8.09 years) were included. Of whom, 19,243 (4.6 %) and 188,219 (45.1 %) were considered frail and pre-frail, respectively. During a median of 12.4 years follow-up, 1503 elderly-onset IBD cases (1001 UC, 413 CD, and 89 IBD-Unclassified) were identified. Compared with non-frail, individuals with frail (HR=1.40, 95 %CI: 1.13-1.73) and pre-frail (HR=1.15, 1.03-1.28) showed significantly higher risk of elderly-onset IBD after multivariable adjustment (Ptrend<0.001). The positive association was more evident regarding risk of elderly-onset CD (HR=2.16, 1.49-3.13 for frail; HR=1.49,1.20-1.85 for pre-frail; Ptrend<0.001). Sensitivity analyses and subgroup analyses according to age, gender and body mass index (BMI) demonstrated similar results.

CONCLUSIONS

Frailty and pre-frailty are associated with increased risk of elderly-onset IBD, particularly elderly-onset CD.

Cognitive frailty in older cancer survivors and its association with health-related quality of life

PURPOSE

This study aimed (1) to estimate the prevalence of cognitive frailty, (2) to identify factors associated with cognitive frailty and (3) to examine the association of cognitive frailty with health-related quality of life (HRQOL) in older cancer survivors.

METHODS

This was a cross-sectional study. Participants were aged 65 or above, diagnosed with cancer and had completed cancer treatment. Measures on physical frailty, cognitive functioning and HRQOL were administered. Multiple linear regression models were used to examine the association of cognitive frailty with HRQOL.

RESULTS

Among 293 recruited participants, 18.8% had a cognitive functioning decline, 8.9% were physically frail and 8.2% were cognitively frail. Regular exercise (OR = 0.383, p = .035) and shorter time since treatment completion were associated with less likelihood of cognitive frailty (OR = 1.004, p = .045). Cognitive frailty was significantly associated with global health status (β = -0.116; p = .044), physical functioning (β = -0.177; p = .002), social functioning (β = -0.123; p = .035) and fatigue symptoms (β = 0.212; p < .001) after adjusting for potential confounding variables.

CONCLUSIONS

Cognitive frailty, found in 8.2% of older cancer survivors, is associated with various dimensions of HRQOL. Longitudinal research examining the trajectory and impact of cognitive frailty on more diverse health outcomes in older cancer survivors is warranted. The findings improve service providers' knowledge of cognitive frailty in older cancer survivors and inform surveillance and care for geriatric cancer survivorship.

Association Between Social Frailty and Life Satisfaction Among Older Adults: The Role of Functional Limitations and Depressive Symptoms

The current study aimed to identify life satisfaction depending on the degree of social frailty and explore the mediating role of functional limitations and depressive symptoms between social frailty and life satisfaction. A secondary analysis of a cross-sectional survey was used. Data of 6,479 older adults were selected from the 2020 National Survey of Older Koreans. Of all participants, 2,595 (40.1%) and 1,605 (24.8%) had social prefrailty and frailty, respectively. Life satisfaction of participants with social frailty was significantly worse than those without social frailty. Social frailty negatively influenced life satisfaction. Functional limitations and depressive symptoms serially mediated the association between social frailty and life satisfaction. This mediation model provided evidence of the associations among social frailty, functional limitations, depressive symptoms, and life satisfaction in older adults. In community care settings, nurses should recognize the assessment of social frailty to enhance the subjective well-being of older adults. [Research in Gerontological Nursing, 16(6), 291-300.].

HCT frailty scale for younger and older adults undergoing allogeneic hematopoietic cell transplantation

The HCT Frailty Scale is an easy prognostic tool composed of (a) Clinical Frailty Scale; (b) Instrumental Activities of Daily Living; (c) Timed-up-and-Go test; (d) Grip Strength; (e) Self-Health Rated Questionnaire; (f) Falls tests; (g) Albumin and C-reactive protein levels. This scale was designed to classify allogeneic hematopoietic cell transplant (alloHCT) candidates into fit, pre-frail and frail groups, irrespective of age. This study evaluates the ability of this frailty classification to predict overall survival (OS) and non-relapse mortality (NRM) in adult patients of all ages, in a prospective sample of 298 patients transplanted between 2018 and 2020. At first consultation, 103 (34.6%) patients were fit, 148 (49.7%) pre-frail, and 47 (15.8%) were frail. The 2-year OS and NRM of the three groups were 82.9%, 67.4%, and 48.3% (P < 0.001), and 5.4%, 19.2%, and 37.7% (P < 0.001). For patients younger than 60 years (n = 174), the 2-year OS and NRM of fit, pre-frail, and frail groups were 88.4%, 69.3% and 53.1% (P = 0.002), and 5.8%, 22.8%, and 34.8% (P = 0.005), respectively; and in patients older than 60 (n = 124), OS and NRM were 75.5%, 63.8% and 41.4% (P = 0.006), and 4.9%, 16.4%, and 42.1% (P = 0.001). In conclusion, frailty predicted worse transplant outcomes in both younger and older adults.

Gender differences in the association between physical frailty and life satisfaction among older adults in India

BACKGROUND

One of the sustainable development goals' (SDGs) primary goals (Goal 3) is to ensure healthy lives and promote well-being for persons of all ages. While extensive literature documents the link between physical frailty and low life satisfaction (LLS) among older adults, research of this nature is limited within low and middle-income countries including India. The purpose of this study was to examine the association between physical frailty and life satisfaction among community-dwelling older men and women in India.

METHODS

Data come from the 2017-18 wave 1 of the Longitudinal Ageing Study in India (LASI), with a sample of 30 390 individuals aged 60 and above (14 559 men and 15 831 women). Physical frailty was assessed using an adapted version of the frailty phenotype developed by Fried and colleagues. Ordered logistic regression models are employed to examine the association between physical frailty and life satisfaction.

RESULTS

The prevalence of frailty was higher in older women than men (32.2% vs. 27.5%). Nearly 30.4% of men and 33.8% of women reported having LLS. However, after adjusting for the selected confounders, women were less likely (adjusted odds ratio [aOR]: 0.92; CI: 0.87-0.97) to report LLS compared to men. The physically frail older adults were more likely (aOR: 1.40; CI: 1.27-1.55) to report LLS relative to their physically stronger counterparts. Moreover, we found that frail older men had higher odds of reporting LLS than non-frail older men (aOR: 1.25; CI: 1.09-1.43). Also, non-frail older women had lower odds of reporting LLS than non-frail older men (aOR: 0.80; CI: 0.67-0.95).

CONCLUSIONS

Findings of our study suggest that policies and programs to address later life well-being need to consider gender differences. Doing so would not only help identify older adults most at risk of LLS, but gender differentiated policies would help streamline health expenditures and costs typically relegated to assist all older adults without proper focus on the uniqueness of their social location.

Statistical model of trajectories of reduced mobility in older people with locomotive disorders: a prospective cohort study with group-based trajectory model

BACKGROUND

Today we experience "Super-aged society", and a drastic increase in the number of older people needing assistance is an urgent matter for everyone from medical and socio-economical standpoints. Locomotive organ dysfunction due to musculoskeletal disorders is one of the main problems in these patients. Although the concepts of frailty and sarcopenia have been proposed for functional decline, pain remains the main and non-negligible complaint in these of such disorders. This prospective cohort study aimed to observe the changes of reduced mobility in patients with locomotive disorders and to determine the risk factors for functional deterioration of those patients using statistical modeling.

METHODS

A cohort of older adults with locomotive disorders who were followed up every 6 months for up to 18 months was organized. Pain, physical findings related to the lower extremities, locomotive function in performing daily tasks, and Geriatric Locomotive Function Scale-25 (GLFS-25) score were collected to predict the progress of deterioration. Group-based trajectory analysis was used to identify subgroups of changes of GLFS-25 scores, and multinomial logistic regression analysis was performed to investigate potential predictors of the GLFS-25 trajectories.

RESULTS

Overall, 314 participants aged between 65 and 93 years were included. The participants were treated with various combinations of orthopedic conservative treatments on an outpatient basis. The in-group trajectory model analysis revealed a clear differentiation between the four groups. The mild and severe groups generally maintained their GLFD-25 scores, while the moderate group included a fluctuating group and a no change group.　This study showed that comorbidity of osteoporosis was related to GLFS-25 score over 18 months. Age was a weak factor to be moderate or severe group, but gender was not. In addition, the number of pain locations, number of weak muscles, one-leg standing time, grip strength and BMI significantly contributed to the change in GLFS-25 score.

CONCLUSIONS

This study proposes an effective statistical model to monitor locomotive functions and related findings. Pain and comorbid osteoporosis are significant factors that related to functional deterioration of activities. In addition, the study shows a patient group recovers from the progression and their possible contributing factors.

Diagnostic Accuracy of the Short Physical Performance Battery in Detecting Frailty and Prefrailty in Community-Dwelling Older Adults: Results From the PRO-EVA Study

BACKGROUND AND PURPOSE

The Short Physical Performance Battery (SPPB) is widely used for older adults since it has a high level of validity, reliability, and responsiveness in measuring function in this population. However, only a few studies of diagnostic accuracy have assessed SPPB capacity in detecting frailty and prefrailty by estimating more detailed measurement properties. Thus, the present study aimed to evaluate the SPPB's diagnostic accuracy in detecting frailty and prefrailty, in addition to identifying cut-off points for walking time and chair stand time.

METHODS

This is a cross-sectional study composed of 786 community-dwelling older adults 60 years or older, in which sociodemographic and anthropometric data, frailty phenotype, and total SPPB score, as well as walking time and chair stand time, were assessed. Analysis of a receiver operating characteristic curve was performed to identify the cut-off point, sensitivity, and specificity in the total SPPB score, as well as the walking time and chair stand time for frailty and prefrailty screening. Accuracy and positive and negative predictive values were subsequently calculated.

RESULTS AND DISCUSSION

The cut-off points identified for the total SPPB score, walking time, and chair stand time were 9 points or less (accuracy of 72.6%), 5 seconds or less, and 13 seconds or less, respectively, for frailty screening and 11 points or less (accuracy of 58.7%), 4 seconds or less, and 10 seconds or less, respectively, for prefrailty screening. The walking time showed greater frailty discriminatory capacity compared with the chair stand time (effect size = 1.24 vs 0.64; sensitivity = 69% vs 59%; and specificity = 84% vs 75%).

CONCLUSIONS

The total SPPB score has good diagnostic accuracy to discriminate between nonfrail and frail older adults using a cut-off point of 9 or less, being better to identify the true negatives (older adults who are not frail). Although the SPPB's diagnostic accuracy measures for detecting prefrailty were low to moderate, this instrument can help in screening prefrail older adults from the cutoff point of 11 or less in the total SPPB score. Identification of prefrail older adults enables implementing early treatment in this target audience and can prevent their advance to frailty.

Cholesterol alone or in combination is associated with frailty among community-dwelling older adults: A cross-sectional study

BACKGROUND

Biological markers contribute to the precise intervention across the continuum of frailty severity. Few studies have explored the advantages of biological markers collected as part of primary care data among community-dwelling older adult population and controversy remains regarding the classic biological markers for frailty.

METHODS

We recruited a total of 8791 adults with a mean age of 71.95 years who met the inclusion and exclusion criteria in Guancheng District and Dalang Town, Dongguan, China. Frailty was assessed by a Chinese frailty evaluation scale. Frailty status was classified with 33-item modified frailty index and latent class analysis was applied to explore the latent classes (subtypes) of frailty. We measured biological markers on blood samples collected. We identify association between specific biological markers or patterns and frailty by logistic regression and association rule mining (ARM) based on the Apriori algorithm.

RESULTS

Multivariable analysis of our data showed that an elevated white blood cell (WBC) count and high cholesterol (CHOL) level were associated with pre-frailty (adjusted odds ratio [aOR] = 1.231, 95 % confidence interval [CI] = 1.009-1.501; aOR = 0.703, 95 % CI = 0.623-0.793) and frailty (aOR = 1.500, 95 % CI = 1.130-1.993; aOR = 0.561, 95 % CI = 0.461-0.684) compared with the normal groups. Importantly, significantly high level of CHOL was associated with a lower risk of four frailty subtypes compared with relatively healthy participants with the most power of association in the multi-frail group (aOR = 0.182, 95 % CI = 0.086-0.386). Based on ARM technique to develop correlation analysis to identify important high-risk clusters among older adult transitions from non-frail to frailty, patterns for normal level of CHOL co-occurred with an elevated creatinine (CREA) level have a significant association with the risk of frailty (aOR = 7.787, 95 % CI = 1.978-30.648) after adjusting for targeted confounders.

CONCLUSIONS

Our study highlights the correlation between classic biological markers, especially CHOL and frailty status and subtypes among community-dwelling older adult, in the primary care setting. Further large-scale prospective studies are still needed to confirm the role of classic biological markers in frailty.

Perioperative Pulmonary Complications in the Elderly: The Forgotten System

With a rapidly aging population and increasing global surgical volumes, managing the elevated risk of perioperative pulmonary complications has become an expanding focus for quality improvement in health care. In this narrative review, we will analyze the evidence-based literature to provide high-quality and actionable management strategies to better detect, stratify risk, optimize, and manage perioperative pulmonary complications in geriatric populations.

Frailty and comorbidities among young adult cancer survivors enrolled in an mHealth physical activity intervention trial

PURPOSE

The physical frailty phenotype identifies individuals at risk for adverse health outcomes but has rarely been assessed among young adult cancer survivors (YACS). This study describes frailty status among YACS participating in a physical activity (PA) intervention trial.

METHODS

YACS were categorized at baseline using the 5-item FRAIL scale: fatigue; weight loss; illness; ambulation; resistance. Chi-square tests compared frailty and non-cancer comorbidities by characteristics. Prevalence rates (PRs) for the independent associations between characteristics, frailty, and comorbidities were estimated using modified Poisson regression models.

RESULTS

Among 280 YACS (82% female; mean (M) age = 33.4 ± 4.8 years, M=3.7 ± 2.4 years post-diagnosis), 11% frail, 17% prefrail; the most frequent criteria were fatigue (41%), resistance (38%), and ambulation (14%). Compared to BMI < 25, higher BMI was associated with increased likelihood of frailty (BMI 25-30, PR: 2.40, 95% CI: 1.38-4.17; BMI > 30, PR: 2.95, 95% CI: 1.71-5.08). Compared to 0, ≥ 30 min/week of moderate-to-vigorous PA was associated with reduced frailty (PR: 0.39, 95% CI: 0.25-0.60). Most YACS (55%) reported ≥ 1 comorbidity, most frequently depression (38%), thyroid condition (19%), and hypertension (10%). Comorbidities were more common for women (59% vs. 37%) and current/former smokers (PR: 1.71, 95% CI: 1.29-2.28).

CONCLUSION

Prevalence of frailty and comorbidities in this sample was similar to other YACS cohorts and older adults without cancer and may be an indicator of accelerated aging and increased risk for poor outcomes.

IMPLICATIONS FOR CANCER SURVIVORS

Assessment of frailty may help identify YACS at increased risk for adverse health outcomes.

Frailty detection by healthcare professionals: a systematic review of the available English and French tools and their validation

BACKGROUND

There is a wide variety of frailty detection tools, but no gold standard. Choosing the most appropriate tool can therefore be complicated. Our systematic review seeks to provide useful data on the frailty detection tools available to help healthcare professionals in choosing a tool.

METHOD

We systematically searched for articles published between January 2001 and December 2022 in three electronic databases. Articles were to be written in English or French and were to discuss a frailty detection tool used by healthcare professionals in a population without specific health conditions. Any self-testing, physical testing or biomarkers were excluded. Systematic reviews and meta-analyses were also excluded. Data were extracted from two coding grids; one for the criteria used by the tools to detect frailty and the other for the evaluation of clinimetric parameters. The quality of the articles was assessed using QUADAS-2.

RESULTS

A total of 52 articles, covering 36 frailty detection tools, were included and analysed in the systematic review. Forty-nine different criteria were identified, with a median of 9 (IQR 6-15) criteria per tool. Regarding the evaluation of tool performances, 13 different clinimetric properties were identified, with a mean of 3.6 (± 2.2) properties assessed per tool.

CONCLUSION

There is considerable heterogeneity in the criteria used to detect frailty, as well as in the way tools are evaluated.

Racial, Ethnic, and Socioeconomic Differences in a Deficit Accumulation Frailty Index in the Multiethnic Cohort Study

BACKGROUND

Frailty status has been sparsely studied in some groups including Native Hawaiians and Asian Americans.

METHODS

We developed a questionnaire-based deficit accumulation frailty index (FI) in the Multiethnic Cohort (MEC) and examined frailty status (robust, FI 0 to <0.2, prefrail, FI 0.2 to <0.35, and frail FI ≥ 0.35) among 29 026 men and 40 756 women.

RESULTS

After adjustment for age, demographic, lifestyle factors, and chronic conditions, relative to White men, odds of being frail was significantly higher (34%-54%) among African American, Native Hawaiian, and other Asian American men, whereas odds was significantly lower (36%) in Japanese American men and did not differ in Latino men. However, among men who had high school or less, none of the groups displayed significantly higher odds of prefrail or frail compared with White men. Relative to White women, odds of being frail were significantly higher (14%-33%) in African American and Latino women, did not differ for other Asian American women and lower (14%-36%) in Native Hawaiian and Japanese American women. These racial and ethnic differences in women were observed irrespective of education. Risk of all-cause mortality was higher in prefrail and frail men than robust men (adjusted hazard ratio [HR] = 1.69, 1.59-1.81; HR = 3.27, 3.03-3.53); results were similar in women. All-cause mortality was significantly positively associated with frailty status and frailty score across all sex, race, and ethnic groups.

CONCLUSIONS

Frailty status differed significantly by race and ethnicity and was consistently associated with all-cause mortality. The FI may be a useful tool for aging studies in this multiethnic population.

Functional status and therapy for older adults with diffuse large B-cell lymphoma in nursing homes: A population-based study

OBJECTIVES

To characterize the prevalence of functional and cognitive impairments, and associations between impairments and treatment among older patients with diffuse large B cell lymphoma (DLBCL) receiving nursing home (NH) care.

METHODS

We used the Surveillance, Epidemiology, and End Results-Medicare database to identify beneficiaries diagnosed with DLBCL 2011-2015 who received care in a NH within -120 ~ +30 days of diagnosis. Multivariable logistic regression was used to compare receipt of chemoimmunotherapy (including multi-agent, anthracycline-containing regimens), 30-day mortality, and hospitalization between NH and community-dwelling patients, estimating odds ratios (OR) and 95% confidence interval (CI). We also examined overall survival (OS). Among NH patients, we examined receipt of chemoimmunotherapy based on functional and cognitive impairment.

RESULTS

Of the eligible 649 NH patients (median age: 82 years), 45% received chemoimmunotherapy; among the recipients, 47% received multi-agent, anthracycline-containing regimens. Compared with community-dwelling patients, those in a NH were less likely to receive chemoimmunotherapy (OR: 0.34, 95%CI: 0.29-0.41), had higher 30-day mortality (OR: 2.00, 95%CI: 1.43-2.78) and hospitalization (OR: 1.51, 95%CI: 1.18-1.93), and poorer OS (hazard ratio: 1.36, 95%CI: 1.11-1.65). NH patients with severe functional (61%) or any cognitive impairment (48%) were less likely to receive chemoimmunotherapy.

CONCLUSIONS

High rates of functional and cognitive impairment and low rates of chemoimmunotherapy were observed among NH residents diagnosed with DLBCL. Further research is needed to better understand the potential role of novel and alternative treatment strategies and patient preferences for treatment to optimize clinical care and outcomes in this high-risk population.

Differences in Characteristics Between Physical Frailty Assessments in Chronic Obstructive Pulmonary Disease: A Multicenter Cross-Sectional Observational Study

Purpose

Assessment for frailty is important as it enables timely intervention to prevent or delay poor prognosis in chronic obstructive pulmonary disease (COPD). The aims of this study, in a sample of outpatients with COPD, were to (i) assess the prevalence of physical frailty using the Japanese version of the Cardiovascular Health Study (J-CHS) criteria and the Short Physical Performance Battery (SPPB) and the degree of agreement between the findings of the two assessments and (ii) identify factors associated with the disparity in the results obtained with these instruments.

Patients and Methods

This was a multicenter cross-sectional study of individuals with stable COPD enrolled in four institutions. Frailty was assessed using the J-CHS criteria and the SPPB. Weighted Cohen's kappa (k) statistic was performed to investigate the magnitude of agreement between the instruments. We divided participants into two groups depending on whether there was agreement or non-agreement between the results of the two frailty assessments. The two groups were then compared with respect to their clinical data.

Results

A total of 103 participants (81 male) were included in the analysis. The median age and FEV1 (%predicted) were 77 years and 62%, respectively. The prevalence of frailty and pre-frail was 21% and 56% with the J-CHS criteria and 10% and 17% with the SPPB. The degree of agreement was fair (k = 0.36 [95% CI: 0.22-0.50], P<0.001). There were no significant differences in the clinical characteristics between the agreement group (n = 44) and the non-agreement group (n = 59).

Conclusion

We showed that the degree of agreement was fair with the J-CHS criteria detecting a higher prevalence than the SPPB. Our findings suggest that the J-CHS criteria may be useful in people with COPD with the aim of providing interventions to reverse frailty in the early stages.

The Relationship of Oral Health with Progression of Physical Frailty among Older Adults: A Longitudinal Study Composed of Two Cohorts of Older Adults from the United Kingdom and United States

OBJECTIVE

To investigate the prospective associations between oral health and progression of physical frailty in older adults.

DESIGN

Prospective analysis.

SETTING AND PARTICIPANTS

Data are from the British Regional Heart Study (BRHS) comprising 2137 men aged 71 to 92 years from 24 British towns and the Health, Aging, and Body Composition (HABC) Study of 3075 men and women aged 70 to 79 years.

METHODS

Oral health markers included denture use, tooth count, periodontal disease, self-rated oral health, dry mouth, and perceived difficulty eating. Physical frailty progression after ∼8 years follow-up was determined based on 2 scoring tools: the Fried frailty phenotype (for physical frailty) and the Gill index (for severe frailty). Logistic regression models were conducted to examine the associations between oral health markers and progression to frailty and severe frailty, adjusted for sociodemographic, behavioral, and health-related factors.

RESULTS

After full adjustment, progression to frailty was associated with dentition [per each additional tooth, odds ratio (OR) 0.97; 95% CI: 0.95-1.00], <21 teeth with (OR 1.74; 95% CI: 1.02-2.96) or without denture use (OR 2.45; 95% CI 1.15-5.21), and symptoms of dry mouth (OR ≥1.8; 95% CI ≥ 1.06-3.10) in the BRHS cohort. In the HABC Study, progression to frailty was associated with dry mouth (OR 2.62; 95% CI 1.05-6.55), self-reported difficulty eating (OR 2.12; 95% CI 1.28-3.50) and ≥2 cumulative oral health problems (OR 2.29; 95% CI 1.17-4.50). Progression to severe frailty was associated with edentulism (OR 4.44; 95% CI 1.39-14.15) and <21 teeth without dentures after full adjustment.

CONCLUSIONS AND IMPLICATIONS

These findings indicate that oral health problems, particularly tooth loss and dry mouth, in older adults are associated with progression to frailty in later life. Additional research is needed to determine if interventions aimed at maintaining (or improving) oral health can contribute to reducing the risk, and worsening, of physical frailty in older adults.

Multisystem physiological perspective of human frailty and its modulation by physical activity

"Frailty" is a term used to refer to a state characterized by enhanced vulnerability to, and impaired recovery from, stressors compared with a nonfrail state, which is increasingly viewed as a loss of resilience. With increasing life expectancy and the associated rise in years spent with physical frailty, there is a need to understand the clinical and physiological features of frailty and the factors driving it. We describe the clinical definitions of age-related frailty and their limitations in allowing us to understand the pathogenesis of this prevalent condition. Given that age-related frailty manifests in the form of functional declines such as poor balance, falls, and immobility, as an alternative we view frailty from a physiological viewpoint and describe what is known of the organ-based components of frailty, including adiposity, the brain, and neuromuscular, skeletal muscle, immune, and cardiovascular systems, as individual systems and as components in multisystem dysregulation. By doing so we aim to highlight current understanding of the physiological phenotype of frailty and reveal key knowledge gaps and potential mechanistic drivers of the trajectory to frailty. We also review the studies in humans that have intervened with exercise to reduce frailty. We conclude that more longitudinal and interventional clinical studies are required in older adults. Such observational studies should interrogate the progression from a nonfrail to a frail state, assessing individual elements of frailty to produce a deep physiological phenotype of the syndrome. The findings will identify mechanistic drivers of frailty and allow targeted interventions to diminish frailty progression.

Validity Properties of a Self-reported Modified Frailty Phenotype Among People With HIV in Clinical Care in the United States

ABSTRACT

Modifications to Fried's frailty phenotype (FFP) are common. We evaluated a self-reported modified frailty phenotype (Mod-FP) used among people with HIV (PWH). Among 522 PWH engaged in two longitudinal studies, we assessed validity of the four-item Mod-FP compared with the five-item FFP. We compared the phenotypes via receiver operator characteristic curves, agreement in classifying frailty, and criterion validity via association with having experienced falls. Mod-FP classified 8% of PWH as frail, whereas FFP classified 9%. The area under the receiver operator characteristic curve for Mod-FP classifying frailty was 0.93 (95% CI = 0.91-0.96). We observed kappa ranging from 0.64 (unweighted) to 0.75 (weighted) for categorizing frailty status. Both definitions found frailty associated with a greater odds of experiencing a fall; FFP estimated a slightly greater magnitude (i.e., OR) for the association than Mod-FP. The Mod-FP has good performance in measuring frailty among PWH and is reasonable to use when the gold standards of observed assessments (i.e., weakness and slowness) are not feasible.

Impact of hematopoietic cell transplant frailty scale on transplant outcome in adults

This prospective study designs an HCT Frailty Scale to classify alloHCT candidates into groups of frail, pre-frail, and fit, and to be implemented in the first consultation at no additional cost. The present scale is composed of the following eight variables: Clinical Frailty Scale, Instrumental Activities of Daily Living, Timed Up and Go Test, Grip Strength, Self-Health Rated, Falls, Albumin, and C-Reactive Protein. The Frailty score of a patient is the weighted sum of scores for each item, with weights assigned according to the hazard ratios of a multivariable Cox proportional hazards model estimated and validated with data on OS as the dependent variable, and the scores of the eight variables as explanatory ones, from 298 adults split into training (n = 200) and validation (n = 98) sets. For clinical use, the scale scores were transformed into three categories: scale score ≤1: fit; 1<scale score ≤5.5: pre-frail; scale score >5.5 frail. The estimated probabilities of 1-year OS in each group of frailty, were, respectively: 83.7%, 48.5%, and 16.5% (p < 0.001). In the validation cohort, the respective values were 90.3%, 69.5%, and 46.2% (p < 0.001). Pending further external validations, the HCT Frailty Scale is a low cost-highly informative prognostic signal of outcomes at the pre-transplant stage.

[Frail-VIG index: Convergent and discriminatory validity with respect to Short Physical Performance Battery in general population]

BACKGROUND AND OBJECTIVE

Studies of frailty in primary health care (PHC) using frailty indexes are scarce. Frail-VIG index assesses the level of frailty through a multidimensional approach. The main objective was to investigate the convergent and discriminative validity of the frail-VIG index with respect to Short Physical Performance Battery (SPPB) in general population ≥ 70 years.

POPULATION, MATERIALS AND METHODS

Descriptive cross-sectional study. We included 416 non-institutionalized patients aged 70 years or over from two lists of general practitioners in a semi-urban healthcare center. Main variables were: frail-VIG index and SPPB.

RESULTS

The value of the area under the ROC curve of frail-VIG index respect SPPB < 7 was 0.81 (95% CI: 0.76-0.86). Pearson's correlation coefficient was -0.59 (95% CI: -0.524 to -0.649). The mean of frail-VIG index in those classified as not frail by SPPB < 7 was 0.103 (95% CI: 0.094-0.112) and in the frail was 0.242 (95% CI: 0.215-0.269). We obtained significant differences in the mean and distribution of the SPPB according to the frail-VIG index categories. The frailty prevalence according to the frail-VIG index was 29.3% (95% CI: 25.2-33.9), initial 19%, intermediate 7.5% and advanced 2.9%. There were frailty people by frail-VIG index and not by SPPB < 7 the 10.4%; on the contrary the 9.6%, the mean of affected domains of frail-VIG index was 3.9 and 2.2, respectively.

CONCLUSIONS

The frail-VIG index presents adequate convergent and discriminative validity with respect to the SPPB that supports the use in PHC. There is a 20% of participants classified as frail in a discordant way, who presents a different profile.

A pathway model of chronic pain and frailty in older Chinese cancer patients: The mediating effect of sleep

This study aimed to explore the association between chronic pain, sleep quality, and frailty, and whether sleep quality will mediate the relationship between chronic pain and frailty. A cross-sectional study was conducted between June 2020 and July 2021 among 308 patients in Nantong city. The relationship between chronic pain and frailty was tested using linear regression. The bootstrap method was used to examine mediating effect of sleep quality. Chronic pain was significantly correlated with frailty (r=0.271, P<.001). Sleep quality played a partially mediating role between chronic pain and frailty (β=0.160, R²=32%, P<.001). Interventions to scientifically manage chronic pain and improve sleep quality may be effective in reducing the incidence of frailty in elderly cancer patients.

Risk and Protective Factors for Frailty in Pre-Frail and Frail Older Adults

This study aims to evaluate the differences in body composition, physical function, and physical activity between pre-frail/frail older adults and to detect risk and protective factors against frailty and physical frailty. Fried's criteria for frailty and physical frailty using the short-performance physical battery (SPPB) were measured in 179 older participants (75.3 ± 6.4 years old). Body weight, height, and waist, arm, and leg circumferences were obtained as body composition variables. Daily accelerometer outcomes (physical activity and inactivity) were obtained. Pre-frail participants showed overall better physical function and spent more time in physical activity and less time in long inactivity periods than frail participants (p < 0.05). Risk frailty factors were higher waist perimeter (Odds Ratio [OR]: 1.032, 95%CI: 1.003-1.062), low leg performance (OR: 1.025, 95%CI: 1.008-1.043), and inactivity periods longer than 30 min (OR:1.002, 95%CI: 1.000-1.005). Protective factors were standing balance (OR:0.908, 95%CI: 0.831-0.992) and SPPB score (OR: 0.908, 95%CI: 0.831-0.992) for frailty, handgrip strength (OR: 0.902, 95%CI: 0.844-0.964) for physical frailty, and light (OR: 0.986, 95%CI: 0.976-0.996) and moderate-to-vigorous (OR: 0.983, 95%CI: 0.972-0.996) physical activity for both. Our findings suggest that handgrip strength, balance, and physical activity are protective frailty factors and can be monitored in pre-frail older adults. Moreover, poor lower body performance and long inactivity periods are frailty risk factors, which highlights their importance in frailty assessment.

Considerations for designing trials targeting muscle dysfunction in exercise oncology

Individuals diagnosed with cancer commonly experience a significant decline in muscle mass and physical function collectively referred to as cancer related muscle dysfunction. This is concerning because impairments in functional capacity are associated with an increased risk for the development of disability and subsequent mortality. Notably, exercise offers a potential intervention to combat cancer related muscle dysfunction. Despite this, research is limited on the efficacy of exercise when implemented in such a population. Thus, the purpose of this mini review is to offer critical considerations for researchers seeking to design studies pertaining to cancer related muscle dysfunction. Namely, 1) defining the condition of interest, 2) determining the most appropriate outcome and methods of assessment, 3) establishing the best timepoint (along the cancer continuum) to intervene, and 4) understanding how exercise prescription can be configured to optimize outcomes.

The relationship between self-reported physical frailty and sensor-based physical activity measures in older adults - a multicentric cross-sectional study

BACKGROUND

The decline in everyday life physical activity reflects and contributes to the frailty syndrome. While especially self-reported frailty assessments have the advantage of reaching large groups at low costs, little is known about the relationship between the self-report and objective measured daily physical activity behavior. The main objective was to evaluate whether and to what extent a self-reported assessment of frailty is associated with daily physical activity patterns.

METHODS

Daily activity data were obtained from 88 elderly participants (mean 80.6 ± 9.1 years) over up to 21 days. Acceleration data were collected via smartwatch. According to the results of a self-report frailty questionnaire, participants were retrospectively split up into three groups, F (frail, n = 43), P (pre-frail, n = 33), and R (robust, n = 12). Gait- and activity-related measures were derived from the built-in step detector and acceleration sensor and comprised, i.a., standard deviation of 5-s-mean amplitude deviation (MADstd), median MAD (MADmedian), and the 95th percentile of cadence (STEP95). Parameters were fed into a PCA and component scores were used to derive behavioral clusters.

RESULTS

The PCA suggested two components, one describing gait and one upper limb activity. Mainly gait related parameters showed meaningful associations with the self-reported frailty score (STEP95: R² = 0.25), while measures of upper limb activity had lower coefficients (MADmedian: R² = 0.07). Cluster analysis revealed two clusters with low and relatively high activity in both dimensions (cluster 2 and 3). Interestingly, a third cluster (cluster 1) was characterized by high activity and low extent of ambulation. Comparisons between the clusters showed significant differences between activity, gait, age, sex, number of chronic diseases, health status, and walking aid. Particularly, cluster 1 contained a higher number of female participants, whose self-reports tended towards a low health status, the frequent use of a walking aid, and a higher score related to frailty questions.

CONCLUSIONS

The results demonstrate that subjective frailty assessments may be a simple first screening approach. However, especially older women using walking aids may classify themselves as frail despite still being active. Therefore, the results of self-reports may be particularly biased in older women.

The association between chronic heart failure and frailty index: A study based on the National Health and Nutrition Examination Survey from 1999 to 2018

Objective

This study aims to explore the association between the frailty index and chronic heart failure (CHF).

Methods

We collected data from the National Health and Nutrition Examination Survey (NHANES) (1998-2018) database to assess the association between CHF and frailty. Demographic, inquiry, laboratory examinations, and characteristics were gathered to compare CHF and non-CHF groups. Multiple logistic regression analysis was performed to explore the relationship between frailty and CHF. Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence interval (CI) for mortality from all causes and cardiovascular disease (CVD).

Results

A total of 16,175 participants with cardiac and cerebrovascular disease were categorized into CHF (n = 1,125) and non-CHF (n = 15,050) groups. In patients with CHF, the prevalence of frailty, pre-frailty, and non-frailty were 66.31, 30.93, and 2.75%, respectively. In multiple logistic regression, patients with CHF who were male (OR = 0.63, 95% CI: 3.11-5.22), whose annual family income was over $20,000 (OR = 0.52, 95% CI: 0.37-0.72, p < 0.001), or with normal hemoglobin level (OR = 0.77, 95% CI: 0.68-0.88, P < 0.001) had a lower likelihood of frailty. CHF patients with hypertension (OR = 3.60, 95% CI: 2.17-5.99, P < 0.0001), coronary heart disease (OR = 1.76, 95% CI: 1.10-2.84, P = 0.02), diabetes mellitus (OR = 1.89, 95% CI: 1.28-2.78, P < 0.001), and stroke (OR = 2.52, 95% CI: 1.53-4.15, P < 0.001) tended to be frail. Survival analysis suggested that pre-frailty and frailty were related to poor all-cause deaths (HR = 1.48, 95% CI: 1.36-1.66; HR = 2.77, 95% CI: 2.40-3.18) and CVD mortality (HR = 1.58, 95% CI: 1.26-1.97; HR = 2.55, 95% CI: 2.02-3.21). CHF patients with frailty were strongly connected with all-cause death (HR = 2.14, 95% CI: 1.27-3.62).

Conclusion

Frailty was positively associated with CHF. Patients with CHF who were male, whose annual family income was over $20,000, or with normal hemoglobin level were negatively correlated to frailty. For patients with cardiac and cerebrovascular disease as well as CHF, frailty was strongly connected with all-cause death.

Frailty and Inflammatory Bowel Disease: A Scoping Review of Current Evidence

Frailty is increasingly recognized as an important concept in patients with Inflammatory Bowel Disease (IBD). The aim of this scoping review is to summarize the current literature on frailty in IBD. We will discuss the definition of frailty, frailty assessment methods, the prevalence of frailty, risk factors for frailty and the prognostic value of frailty in IBD. A scoping literature search was performed using the PubMed database. Frailty prevalence varied from 6% to 53.9%, depending on the population and frailty assessment method. Frailty was associated with a range of adverse outcomes, including an increased risk for all-cause hospitalization and readmission, mortality in non-surgical setting, IBD-related hospitalization and readmission. Therefore, frailty assessment should become integrated as part of routine clinical care for older patients with IBD.

The Evaluation of Frailty in the Elderly and Affecting Biopsychosocial Factors: A Cross-Sectional Observational Study

Background

We aimed to evaluate the frequency of frailty and the affecting factors in people living in our society over 65 yr old.

Methods

Our descriptive and cross-sectional study included 261 individuals aged 65 and over who applied to Ankara Training and Research Hospital family practice centers and district polyclinics from 1 Jan to 1 Feb 2020. The participants were asked to complete a sociodemographic data form, FRAIL Scale, Katz Daily Living Activities Scale, Lawton&Brody Instrumental Activities of Daily Living Scale and Geriatric Depression Scale Short Form.

Results

According to the FRAIL Scale results: 35 people were found to be frail (13.4%), 115 to be pre-frail (44.1%). No frailty was observed in 111 people (42.5%). While the mean score of the Katz Activities of Daily Living Scale was found to be 5.65±0.71, the mean score of the Lawton&Brody Instrumental Activities of Daily Living Scale was found to be 6.65±1.69. In the geriatric depression evaluation, mild, medium or severe depression was detected in 87 participants (33.2%). As the level of frailty increased, the Geriatric Depression Scale score climbed significantly (P<0.001). In frail individuals, Lawton&Brody Scale scores were significantly lower (P<0.001). In our study: a correlation was found between frailty and female gender, being single, low income, low educational level, obesity, polypharmacy and decreased physical activity. Additionally, as the number of children increase frailty in women increases therewithal.

Conclusion

Elderly people had high frailty. Polypharmacy, depression and reduced physical activity were the more frequent in frail elderly. In frail females, the number of children was significantly higher.

Frailty and Mortality Risk in COPD: A Cohort Study Comparing the Fried Frailty Phenotype and Short Physical Performance Battery

Background

Identifying frailty in people with chronic obstructive pulmonary disease (COPD) is deemed important, yet comparative characteristics of the most commonly used frailty measures in COPD are unknown. This study aimed to compare how the Fried Frailty Phenotype (FFP) and Short Physical Performance Battery (SPPB) characterise frailty in people with stable COPD, including prevalence of and overlap in identification of frailty, disease and health characteristics of those identified as living with frailty, and predictive value in relation to survival time.

Methods

Cohort study of people with stable COPD attending outpatient clinics. Agreement between frailty classifications was described using Cohen's Kappa. Disease and health characteristics of frail versus not frail participants were compared using t-, Mann-Whitney U and Chi-Square tests. Predictive value for mortality was examined with multivariable Cox regression.

Results

Of 714 participants, 421 (59%) were male, mean age 69.9 years (SD 9.7), mean survival time 2270 days (95% CI 2185-2355). Similar proportions were identified as frail using the FFP (26.2%) and SPPB (23.7%) measures; classifications as frail or not frail matched in 572 (80.1%) cases, showing moderate agreement (Kappa = 0.469, SE = 0.038, p < 0.001). Discrepancies seemed driven by FFP exhaustion and weight loss criteria and the SPPB balance component. People with frailty by either measure had worse exercise capacity, health-related quality of life, breathlessness, depression and dependence in activities of daily living. In multivariable analysis controlling for the Age Dyspnoea Obstruction index, sex, BMI, comorbidities and exercise capacity, both the FFP and SPPB had predictive value in relation to mortality (FFP aHR = 1.31 [95% CI 1.03-1.66]; SPPB aHR = 1.29 [95% CI 0.99-1.68]).

Conclusion

In stable COPD, both the FFP and SPPB identify similar proportions of people living with/without frailty, the majority with matching classifications. Both measures can identify individuals with multidimensional health challenges and increased mortality risk and provide additional information alongside established prognostic variables.

Sex Differences in Frailty Factors and Their Capacity to Identify Frailty in Older Adults Living in Long-Term Nursing Homes

Frailty is a phenomenon that precedes adverse health events in older people. However, there is currently no consensus for how to best measure frailty. Several studies report that women have a higher prevalence of frailty than men, but there is a gap in studies of the high rates of frailty in older people living in long-term nursing homes (LTNHs) stratified by sex. Therefore, we analyzed health parameters related to frailty and measured their capacity to identify frailty stratified by sex in older people living in LTNHs. According to the Fried Frailty Phenotype (FFP), anxiety increased the risk of frailty in women, while for men functionality protected against the risk of frailty. Regarding the Tilburg Frailty Indicator (TFI), functionality had a protective effect in men, while for women worse dynamic balance indicated a higher risk of frailty. The analyzed parameters had a similar capacity for detecting frailty measured by the TFI in both sexes, while the parameters differed in frailty measured by the FFP. Our study suggests that assessment of frailty in older adults should incorporate a broad definition of frailty that includes not only physical parameters but also psycho-affective aspects as measured by instruments such as the TFI.

Special orthopaedic geriatrics (SOG) - a new multiprofessional care model for elderly patients in elective orthopaedic surgery: a study protocol for a prospective randomized controlled trial of a multimodal intervention in frail patients with hip and knee replacement

BACKGROUND

Due to demographic change, the number of older people in Germany and worldwide will continue to rise in the coming decades. As a result, the number of elderly and frail patients undergoing total hip and knee arthroplasty is projected to increase significantly in the coming years. In order to reduce risk of complications and improve postoperative outcome, it can be beneficial to optimally prepare geriatric patients before orthopaedic surgery and to provide perioperative care by a multiprofessional orthogeriatric team. The aim of this comprehensive interventional study is to assess wether multimorbid patients can benefit from the new care model of special orthopaedic geriatrics (SOG) in elective total hip and knee arthroplasty.

METHODS

The SOG study is a registered, monocentric, prospective, randomized controlled trial (RCT) funded by the German Federal Joint Committee (GBA). This parallel group RCT with a total of 310 patients is intended to investigate the specially developed multimodal care model for orthogeriatric patients with total hip and knee arthroplasty (intervention group), which already begins preoperatively, in comparison to the usual orthopaedic care without orthogeriatric co-management (control group). Patients ≥70 years of age with multimorbidity or generally patients ≥80 years of age due to increased vulnerability with indication for elective primary total hip and knee arthroplasty can be included in the study. Exclusion criteria are age < 70 years, previous bony surgery or tumor in the area of the joint to be treated, infection and increased need for care (care level ≥ 4). The primary outcome is mobility measured by the Short Physical Performance Battery (SPPB). Secondary outcomes are morbidity, mortality, postoperative complications, delirium, cognition, mood, frailty, (instrumental) activities of daily living, malnutrition, pain, polypharmacy, and patient reported outcome measures. Tertiary outcomes are length of hospital stay, readmission rate, reoperation rate, transfusion rate, and time to rehabilitation. The study data will be collected preoperative, postoperative day 1 to 7, 4 to 6 weeks and 3 months after surgery.

DISCUSSION

Studies have shown that orthogeriatric co-management models in the treatment of hip fractures lead to significantly reduced morbidity and mortality rates. However, there are hardly any data available on the elective orthopaedic care of geriatric patients, especially in total hip and knee arthroplasty. In contrast to the care of trauma patients, optimal preoperative intervention is usually possible.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00024102. Registered on 19 January 2021.

Prevalence of Frailty Among Hospitalized Older Adults in New Brunswick, Canada: an Administrative Data Population-Based Study

Background

Characterizing the prevalence and distribution of frailty within a population can help guide decision-making and policy development by identifying health service resource needs. Here we describe the prevalence of frailty among hospitalized older adults in New Brunswick (NB), Canada.

Methods

NB administrative hospital claims data were used to identify hospitalized older adults aged 65 or older between April 1, 2017 and March 31, 2019. Frailty was quantified using the Hospital Frailty Risk Score (HFRS), a validated frailty tool derived from claims data. Individuals with a HFRS ranked as intermediate or high were categorized as frail. The distribution of frailty across sex and age are described. Crude prevalence estimates and corresponding 95% confidence intervals are presented.

Results

A total of 55,675 older adults (52% females) were hospitalized. The overall prevalence of frailty was 21.2% (95%CI: 20.9-21.6). Prevalence increased with age: 12.7% (95%CI: 12.3-13.1) in the 65-74 age group, 24.7% (95%CI: 24.1-25.3) in the 75-84 age group and 41.6% (95%CI: 40.6-42.7) for those aged 85 and over (p<.001).

Discussion/Conclusion

The distribution of frailty is in line with that reported in other jurisdictions. We demonstrate the feasibility of the HFRS to identify and characterize frailty in a large sample of older adults who were hospitalized, using administrative data.