Physical Frailty: ICFSR International Clinical Practice Guidelines for Identification and Management

Improving rehabilitation in sarcopenia: a randomized-controlled trial utilizing a muscle-targeted food for special medical purposes

BACKGROUND

Sarcopenia is a disease associated with aging and a negative prognosis. Consensus-based treatment consists in targeting muscle mass and function through physical exercise, optimization of protein intake, and vitamin D supplementation, but evidence is lacking. We evaluated the safety and efficacy of a muscle-targeted nutritional support on the outcome of a physical exercise rehabilitation programme.

METHODS

In a single-site, double-blind, randomized, controlled trial (NCT03120026; May 2017 to December 2018), old (≥65 years) adults [N = 140 (63% female patients; age, 81 ± 6 years)] without severe cognitive impairment, who were found to have sarcopenia by European Working Group on Sarcopenia in Older People 2010 criteria and hospitalized for physical rehabilitation, were randomized to receive until discharge (for at least 4 weeks and up to 8 weeks) a whey protein-based nutritional formula enriched with leucine and vitamin D or an iso-caloric control formula twice daily in addition to a standard hospital diet. The primary endpoint was the change in 4 m gait speed per month. Key secondary endpoints addressed the change in physical performance: chair-stand test, timed up and go test, and short physical performance battery. Other secondary outcomes were the change in functional status, muscle strength and mass, cognitive status, and quality of life. The proportion of patients who improved their rehabilitation intensity profile and overall economic benefits (using length of stay and duration of rehabilitation as surrogate measures) were also evaluated.

RESULTS

A total of 161 patients were screened and 140 were randomized to study interventions. Thirteen patients (experimental, n = 6; placebo, n = 7) discontinued the intervention because they disliked the product and intention-to-treat analyses were based on patients reassessed at discharge [n = 127 (66% female patients; age, 81 ± 6 years)]. Supplementation with the experimental formula (n = 64) resulted in greater increase in mean gait speed {0.061 m/s/month [95% confidence interval (CI), 0.043 to 0.080]} than placebo [n = 63; -0.001 m/s/month (95%CI, -0.008 to 0.006)]: mean difference, 0.063 m/s/month (95%CI, 0.043 to 0.082) (P < 0.001). A significant effect was also found for muscle mass (P < 0.03) and all key secondary outcomes, functional and cognitive endpoints (P < 0.001 for all). Supplementation resulted also in higher proportion of patients improving their rehabilitation intensity profile (P = 0.003) and being discharged home (P = 0.002); shorter rehabilitation (P < 0.001); and hospital stay (P < 0.001).

CONCLUSIONS

In old adults with sarcopenia admitted to hospital for rehabilitation the consumption of a whey protein-based nutritional formula enriched with leucine and vitamin D improved physical performance and function, as well as muscle mass, and reduced the intensity and costs of care.

Design and protocol of the multimorbidity and mental health cohort study in frailty and aging (MiMiCS-FRAIL): unraveling the clinical and molecular associations between frailty, somatic disease burden and late life depression

BACKGROUND

To explore the mutual relationship between multimorbidity, mental illness and frailty, we have set-up the Multimorbidity and Mental health Cohort Study in FRAILty and Aging (MiMiCS-FRAIL) cohort. At the population level, multimorbidity, frailty and late-life depression are associated with similar adverse outcomes (i.e. falls, disability, hospitalization, death), share the same risk factors, and partly overlap in their clinical presentation. Moreover, these three variables may share a common underlying pathophysiological mechanism like immune-metabolic dysregulation. The overall objectives of MiMiCS-FRAIL are 1) to explore (determinants of) the cross-sectional and longitudinal relationship between multimorbidity, depression, and frailty among non-demented geriatric outpatients; 2) to evaluate molecular levels of senoinflammation as a broad pathophysiological process underlying these conditions; and 3) to examine adverse outcomes of multimorbidity, frailty and depression and their interconnectedness.

METHODS

MiMiCS-FRAIL is an ongoing observational cohort study of geriatric outpatients in Brazil, with an extensive baseline assessment and yearly follow-up assessments. Each assessment includes a comprehensive geriatric assessment to identify multimorbidity and geriatric syndromes, a structured psychiatric diagnostic interview and administration of the PHQ-9 to measure depression, and several frailty measures (FRAIL, Physical Phenotype criteria, 36-item Frailty Index). Fasten blood samples are collected at baseline to assess circulating inflammatory and anti-inflammatory cytokines, leukocytes' subpopulations, and to perform immune-metabolic-paired miRome analyses. The primary outcome is death and secondary outcomes are the number of falls, hospital admissions, functional ability, well-being, and dementia. Assuming a 5-year mortality rate between 25 and 40% and a hazard rate varying between 1.6 and 2.3 for the primary determinants require a sample size between 136 and 711 patients to detect a statistically significant effect with a power of 80% (beta = 0.2), an alpha of 5% (0.05), and an R² between the predictor (death) and all covariates of 0.20. Local ethical board approved this study.

DISCUSSION

Frailty might be hypothesized as a final common pathway by which many clinical conditions like depression and chronic diseases (multimorbidity) culminate in many adverse effects. The MiMiCS-FRAIL cohort will help us to understand the interrelationship between these variables, from a clinical perspective as well as their underlying molecular signature.

The Importance of Taking a Patient-Centered, Community-Based Approach to Preventing and Managing Frailty: A Public Health Perspective

Across the world, life expectancy is increasing. However, the years of life gained do not always correspond to healthy life years, potentially leading to an increase in frailty. Given the extent of population aging, the association between frailty and age and the impact of frailty on adverse outcomes for older people, frailty is increasingly being recognized to be a significant public health concern. Early identification of the condition is important to help older adults regain function and to prevent the negative outcomes associated with the syndrome. Despite the importance of diagnosing frailty, there is no definitive evidence or consensus of whether screening should be routinely implemented. A broad range of screening and assessment instruments have been developed taking a biopsychosocial approach, characterizing frailty as a dynamic state resulting from deficits in any of the physical, psychological and social domains, which contribute to health. All these aspects of frailty should be identified and addressed using an integrated and holistic approach to care. To achieve this goal, public health and primary health care (PHC) need to become the fulcrum through which care is offered, not only to older people and those that are frail, but to all individuals, favoring a life-course and patient-centered approach centered around integrated, community-based care. Public health personnel should be trained to address frailty not merely from a clinical perspective, but also in a societal context. Interventions should be delivered in the individuals' environment and within their social networks. Furthermore, public health professionals should contribute to education and training on frailty at a community level, fostering community-based interventions to support older adults and their caregivers to prevent and manage frailty. The purpose of this paper is to offer an overview of the concept of frailty for a public health audience in order to raise awareness of the multidimensional aspects of frailty and on how these should be addressed using an integrated and holistic approach to care.

Depression, physical function, and disease activity associated with frailty in patients with rheumatoid arthritis

OBJECTIVES

To investigate the clinical and psychosocial backgrounds of frailty in rheumatoid arthritis (RA) patients.

METHODS

Patients with RA between 40 and 79 years of age who visited university hospitals in an urban area were recruited. Well-validated self-reported questionnaires were used to evaluate patient physical function (Health Assessment Questionnaire, HAQ), depressive symptoms (Beck Depression Inventory-II, BDI-II), and frailty (Kihon Checklist). A 28-point Disease Activity Score (DAS-28) was calculated to evaluate RA disease activity.

RESULTS

A total of 375 RA patients, 323 of whom were women, were enrolled (average age: 65.2 ± 9.7 years; average disease duration: 16.6 ± 11.9 years). The prevalence rates of frailty, working-age (40-64 years), young-old (65-74 years), and old-old (≥75 years) patients were 18.5, 28.8, and 36.6%, respectively. Higher age and longer disease duration were associated with frailty. Multivariable logistic regression analysis revealed that HAQ, DAS-28, and BDI-II scores were independently associated with frailty in RA patients.

CONCLUSION

Frailty is common, even among working-age RA patients. Physical function, disease activity, and depressive symptoms were independently associated with frailty. A multidisciplinary intervention approach, along with adequate pharmacological therapy, may promote successful aging in patients with RA.

Heterogeneity in functional status among moderately frail older adults: improving predictive performance using a modified approach of subgrouping the Clinical Frailty Scale

Aims

To establish if dependency in basic activities of daily living (bADL) amongst moderately frail older adults predict poorer health outcomes including mortality and institutionalisation. We also examined the utility of subgrouping category 6 of the Clinical Frailty Scale (CFS) by level of functional dependency to improve predictive performance.

Findings

We observed a wider range in functional dependency among CFS 6 patients when compared to other frail categories. Incorporating CFS 6 subcategories based on bADL functional status increased predictive performance for longitudinal adverse outcomes compared with the original CFS scoring.

Message

This study corroborates the heterogeneity of bADL functional status in CFS 6 individuals and validates the use of a modified approach to subgrouping the CFS via bADL dependency for improved predictive performance.

Electronic supplementary material

The online version of this article (10.1007/s41999-020-00418-8) contains supplementary material, which is available to authorized users.

Purpose

Moderately frail individuals [Clinical Frailty Scale (CFS) 6] demonstrate heterogeneity in basic activities of daily living (bADL). We aimed to establish whether functional dependency in moderate frailty predicts poorer outcomes and examined the utility of subgrouping the CFS in predicting mortality and institutionalisation.

Methods

We prospectively studied 201 hospitalised frail patients (89.5 ± 4.7 years, female 70.1%). We examined Katz Index (KI) against adverse outcomes in CFS6 (n = 106). We then compared predictive performances of a modified CFS version 1 (mCFS-1; category 6A: CFS6 and KI ≥ 2; 6B: CFS6 and KI ≤ 1) and modified CFS version 2 (mCFS-2; category 6A: CFS6 and KI ≥ 2; 6B1: CFS6, KI ≤ 1 and feeding independent; 6B2: CFS6, KI ≤ 1 and feeding dependent) against the CFS. Multivariate analysis was used to compare each tool against mortality and institutionalisation. Receiver operator characteristic analysis was performed to determine area under curve and optimal cut-points for each tool.

Results

KI ≤ 1 in CFS6 was associated with higher 12-month mortality (39.3% vs. 15.6%, p = 0.01); amongst KI items, feeding dependent predicted 12-month mortality (p < 0.05). Using mCFS-1, category 6A did not increase 12-month mortality compared with category 5 (OR 1.83, 95% CI 0.52–6.47), unlike category 6B (OR 6.33, 95% CI 2.07–19.33). mCFS-2 produced higher mortality in category 6B1 (OR 5.19, 95% CI 1.30–20.69) and 6B2 (OR 6.92, 95% CI 2.14–22.35). Similar observations were seen for institutionalisation. Optimal cut-point for 12-month mortality was category 6 for CFS, and 6B and 6B1 for mCFS-1 and mCFS-2, respectively.

Conclusion

This study corroborates the heterogeneity of functional status in moderately frail individuals and validates the use of a modified approach to subgrouping the CFS6 via bADL functional status for improved predictive performance.

Electronic supplementary material

The online version of this article (10.1007/s41999-020-00418-8) contains supplementary material, which is available to authorized users.

Association Between Patient-Reported Frailty and Non-Home Discharge Among Older Adults Undergoing Surgery

BACKGROUND/OBJECTIVES

Identifying surgical patients at risk for discharge to a post-acute facility has the potential to reduce hospital length of stay, improve postoperative planning, and increase patient satisfaction. We sought to examine the association between a positive response to a preoperative patient-reported frailty screen and non-home discharge (NHD).

DESIGN

Prospective cohort.

SETTING

Urban tertiary academic preoperative evaluation center.

PARTICIPANTS

Convenience sample of patients aged 60 and older evaluated from November 2018 to August 2019) undergoing one of 14 major elective general and vascular operations with an expected length of stay of 3 days or longer.

METHODS

Items from the previously validated Fatigue, Resistance, Ambulation, Illnesses, Loss of weight (FRAIL) screen were modified, and patients were queried on fatigue, activity against resistance, ambulation, and weight loss. Multivariable logistic regression adjusting for age and sex was used to determine the association between patient-reported items and NHD.

RESULTS

A total of 230 patients were included for analysis. The average age of the cohort was 70.1 (standard deviation = 7.1); 91.7% were White, and 52.4% were female. There were 24 patients (10.4%) who were not discharged home. They were more likely to report fatigue (54% vs 29%; P = .01), weight loss (58% vs 21%; P < .01), and difficulty with activity against resistance (33% vs 7%; P < .01) before surgery. In adjusted analysis, patients who self-reported frailty (FRAIL screen ≥2) were significantly more likely to have an NHD (odds ratio [OR] = 4.5; 95% confidence interval [CI] = 1.7-11.7; P < .01), as were patients who responded "yes" to any question from the FRAIL screen (OR = 2.5; 95% CI = 1.7-3.5; P < .01). A positive response to difficulty with activity against resistance or recent weight loss showed similar odds of NHD (OR = 7.6; 95% CI = 2.6-23.9; P < .01; and OR = 7.9; 95% CI = 2.9-21.6; P < .01, respectively).

CONCLUSION

Patient response to screening questions on the FRAIL screen identified those at highest risk of NHD. The FRAIL screening tool is practical, easy to apply, and could be used during preoperative counseling to identify patients likely to have increased discharge planning needs.

The Clinical Frailty Scale: Estimating the Prevalence of Frailty in Older Patients Hospitalised with COVID-19. The COPE Study

Frailty assessed using Clinical Frailty Scale (CFS) is a good predictor of adverse clinical events including mortality in older people. CFS is also an essential criterion for determining ceilings of care in people with COVID-19. Our aims were to assess the prevalence of frailty in older patients hospitalised with COVID-19, their sex and age distribution, and the completion rate of the CFS tool in evaluating frailty. Methods: Data were collected from thirteen sites. CFS was assessed routinely at the time of admission to hospital and ranged from 1 (very fit) to 9 (terminally ill). The completion rate of the CFS was assessed. The presence of major comorbidities such as diabetes and cardiovascular disease was noted. Results: A total of 1277 older patients with COVID-19, aged ≥ 65 (79.9 ± 8.1) years were included in the study, with 98.5% having fully completed CFS. The total prevalence of frailty (CFS ≥ 5) was 66.9%, being higher in women than men (75.2% vs. 59.4%, p < 0.001). Frailty was found in 161 (44%) patients aged 65-74 years, 352 (69%) in 75-84 years, and 341 (85%) in ≥85 years groups, and increased across the age groups (<0.0001, test for trend). Conclusion: Frailty was prevalent in our cohort of older people admitted to hospital with COVID-19. This indicates that older people who are also frail, who go on to contract COVID-19 may have disease severity significant enough to warrant hospitalization. These data may help inform health care planners and targeted interventions and appropriate management for the frail older person.

The association between frailty and severe disease among COVID-19 patients aged over 60 years in China: a prospective cohort study

BACKGROUND

The coronavirus disease 2019 (COVID-19) has been a pandemic worldwide. Old age and underlying illnesses are associated with poor prognosis among COVID-19 patients. However, whether frailty, a common geriatric syndrome of reduced reserve to stressors, is associated with poor prognosis among older COVID-19 patients is unknown. The aim of our study is to investigate the association between frailty and severe disease among COVID-19 patients aged ≥ 60 years.

METHODS

A prospective cohort study of 114 hospitalized older patients (≥ 60 years) with confirmed COVID-19 pneumonia was conducted between 7 February 2020 and 6 April 2020. Epidemiological, demographic, clinical, laboratory, and outcome data on admission were extracted from electronic medical records. All patients were assessed for frailty on admission using the FRAIL scale, in which five components are included: fatigue, resistance, ambulation, illnesses, and loss of weight. The outcome was the development of the severe disease within 60 days. We used the Cox proportional hazards models to identify the unadjusted and adjusted associations between frailty and severe illness. The significant variables in univariable analysis were included in the adjusted model.

RESULTS

Of 114 patients, (median age, 67 years; interquartile range = 64-75 years; 57 [50%] men), 39 (34.2%), 39 (34.2%), and 36 (31.6%) were non-frail, pre-frail, and frail, respectively. During the 60 days of follow-up, 43 severe diseases occurred including eight deaths. Four of 39 (10.3%) non-frail patients, 15 of 39 (38.5%) pre-frail patients, and 24 of 36 (66.7%) frail patients progressed to severe disease. After adjustment of age, sex, body mass index, haemoglobin, white blood count, lymphocyte count, albumin, CD8+ count, D-dimer, and C-reactive protein, frailty (HR = 7.47, 95% CI 1.73-32.34, P = 0.007) and pre-frailty (HR = 5.01, 95% CI 1.16-21.61, P = 0.03) were associated with a higher hazard of severe disease than the non-frail.

CONCLUSIONS

Frailty, assessed by the FRAIL scale, was associated with a higher risk of developing severe disease among older COVID-19 patients. Our findings suggested that the use of a clinician friendly assessment of frailty could help in early warning of older patients at high-risk with severe COVID-19 pneumonia.

Reducing Frailty to Promote Healthy Aging

Frailty is a complex geriatric syndrome. Frail patients typically present with an array of multiple complex symptoms and significantly reduced tolerance for medical and surgical interventions. A multidomain approach is required to effectively treat/manage frailty.

Approaches to the diagnosis and prevention of frailty

An individual who is living with frailty has impairments in homeostasis across several body systems and is more vulnerable to stressors that may ultimately predispose them to negative health-related outcomes, disability and increased healthcare use. Approximately a quarter of individuals aged > 85 years are living with frailty and as such the identification of those who are frail is a public health priority. Given that the syndrome of frailty is defined by progressive and gradual loss of physiological reserves there is much scope to attempt to modify the trajectory of the frailty syndrome via physical activity and nutritional interventions. In this review we give an up to date account on the identification of frailty in clinical practice and offer insights into physical activity and nutritional strategies that may be beneficial to modify or reverse the frailty syndrome.

Frailty, a multisystem ageing syndrome

The management of frail older people is a key component of aged care. There has been a plethora of tools developed for the diagnosis and screening of frailty. Some of these tools are entering routine clinical practice at a time when the higher healthcare costs involved in caring for older people who are frail have become a potential target for cost-cutting. Yet there is still only limited evidence to support the widespread adoption of frailty tools, and foundational factors impact on their accuracy and validity. Despite the acceptance of frailty as a valid term in research and clinical practice, older people believe the term carries stigma. Such issues indicate that there may be a need to reconsider current approaches to frailty. Recent advances in the science of ageing biology can provide a new framework for reconfiguring how we screen, diagnose, treat and prevent frailty. Frailty can be considered to be a multisystem ageing syndrome of decreased physiological and functional reserve, where the biological changes of ageing are seen in most tissues and organs and are the pathogenic mechanism for frailty. Likewise age-related chronic disease and multimorbidity are syndromes where ageing changes occur in one or multiple systems, respectively. This model focusses diagnostic criteria for frailty onto the biomarkers of ageing and generates new targets for the prevention and treatment of frailty based on interventions that influence ageing biology.

Biomarkers of Physical Frailty and Sarcopenia: Coming up to the Place?

Physical frailty and sarcopenia (PF&S) recapitulates all the hallmarks of aging and has become a focus in geroscience. Factors spanning muscle-specific processes (e.g., mitochondrial dysfunction in skeletal myocytes) to systemic changes (e.g., inflammation and amino acid dysmetabolism) have been pinpointed as possible contributors to PF&S pathophysiology. However, the search for PF&S biomarkers allowing the early identification and tracking of the condition over time is ongoing. This is mainly due to the phenotypic heterogeneity of PF&S, its unclear pathophysiology, and the frequent superimposition of other age-related conditions. Hence, presently, the identification of PF&S relies upon clinical, functional, and imaging parameters. The adoption of multi-marker approaches (combined with multivariate modeling) has shown great potential for addressing the complexity of PF&S pathophysiology and identifying candidate biological markers. Well-designed longitudinal studies are necessary for the incorporation of reliable biomarkers into clinical practice and for unveiling novel targets that are amenable to interventions.

Home Exercise Interventions in Frail Older Adults

Purpose of Review

Frailty is characterized by decreased physiological reserve and increased risk of falls, disability, hospitalization, and mortality. Frail older adults may benefit from exercise interventions targeting their multiple problems and functional deficits; however, most research focuses on center-based interventions, which may present accessibility challenges for frail older adults. Therefore, the purpose of this review is to summarize the most recently published home-based exercise interventions for frail older adults living at home.

Recent Findings

Eight manuscripts met inclusion criteria. Research interventions consisted of a variety of modes (strength, strength/nutrition, strength/flexibility/balance/endurance), duration (12 weeks to 6 months), frequency (2-7 days/week), and delivery methods (volunteer-led, videos on a tablet, manuals/brochures). Investigators examined the effects of home-based exercise on a variety of outcomes to include feasibility, frailty status, physical performance, lean body mass, skeletal muscle mass, other physiological outcomes, mental health, nutritional status, and incidence of falls in frail.

Summary

This review demonstrates the feasibility and effectiveness of home-based exercise interventions to improve frailty, functional performance, nutritional status, and incidence of falls in frail older adults. However, the limited literature available provides conflicting reports regarding benefits for mental health outcomes and no evidence of a beneficial effect on skeletal muscle or lean mass. Future research is needed to shed light on the optimal components of home exercise programs most important for maximizing benefits for frail older adults, as well as the most effective delivery method.

Falling through the cracks: a case study of how a timely integrated approach can reverse frailty

The article 'Social frailty: the importance of social and environmental factors in predicting frailty in older adults' published in the British Journal of Community Nursing in 2019 reviewed the concept and models of frailty and how the role of social and environmental circumstances interplay. To better inform interventions within the community, the impact of social isolation and environmental disorder on frailty and the wellbeing of an individual patient are further explored. This paper describes the case of a 76-year-old man, Tommy, who was living with frailty and how an individualised care plan was undertaken, evidencing the positive effects that an integrated approach from health, social care, housing and the voluntary sector can offer. Multifaceted interventions are described, which were used to reverse frailty and change Tommy's future for the better.

Frailty Combined with Loneliness or Social Isolation: An Elevated Risk for Mortality in Later Life

BACKGROUND/OBJECTIVES

Frailty, loneliness, and social isolation are all associated with adverse outcomes in older adults, but little is known about their combined impact on mortality.

DESIGN

Prospective cohort study.

SETTING

The Longitudinal Aging Study Amsterdam.

PARTICIPANTS

Community-dwelling older adults aged 65 and older (n = 1,427).

MEASUREMENTS

Frailty was measured with the frailty phenotype (Fried criteria). Loneliness was assessed with the De Jong Gierveld Loneliness Scale. Social isolation was operationalized using information on partner status, social support, and network size. Two categorical variables were created, for each possible combination regarding frailty and loneliness (FL) and frailty and social isolation (FS), respectively. Mortality was monitored over a period of 22 years (1995-2017). Survival curves and Cox proportional hazard models were used to study the effects of the FL and FS combinations on mortality. Analyses were adjusted for sociodemographic factors, depression, chronic diseases, and smoking.

RESULTS

Frailty prevalence was 13%, and 5.9% of the sample were frail and lonely, and 6.2% frail and socially isolated. In fully adjusted models, older adults who were only frail had a higher risk of mortality compared with people without any of the conditions (hazard ratio [HR] range = 1.40-1.48; P < .01). However, the highest risk of mortality was observed in people with a combined presence of frailty and loneliness or social isolation (HR_FL = 1.83; 95% confidence interval [CI] = 1.42-2.37; HR_FS = 1.77; 95% CI = 1.36-2.30). Sensitivity analyses using a frailty index based on the deficit accumulation approach instead of the frailty phenotype showed similar results, confirming the robustness of our findings.

CONCLUSION

Frail older adults are at increased risk of mortality, but this risk is even higher for those who are also lonely or socially isolated. To optimize well-being and health outcomes in physically frail older adults, targeted interventions focusing on both subjective and objective social vulnerability are needed.

Effects of Home-Based Physical Exercise on Days at Home and Cost-Effectiveness in Pre-Frail and Frail Persons: Randomized Controlled Trial

OBJECTIVES

Frailty increases the risks of hospitalization, institutionalization, and death. Our objective was to study the effects of home-based physical exercise on the number of days spent at home among pre-frail and frail persons, versus usual care. In addition, utilization and costs of health care and social services, cost-effectiveness, and health-related quality-of-life (HRQoL) were explored.

DESIGN

Randomized controlled trial, with year-long supervised exercise for 60 minutes twice a week versus usual care. Follow-up for 24 months after randomization.

SETTING AND PARTICIPANTS

A sample of 299 home-dwelling persons in South Karelia, Finland. Main inclusion criteria: ≥65 years, meeting at least 1 of the frailty phenotype criteria, Mini-Mental State Examination score ≥17.

METHODS

Primary outcome, days spent at home over 24 months, was calculated deducting days in inpatient care, in nursing homes, and days after death. HRQoL was assessed (15D questionnaire) at baseline and at 3, 6, and 12 months. Utilization data were retrieved from medical records.

RESULTS

The participants' mean age was 82.5 (SD 6.3), 75% were women, 61% were pre-frail and 39% frail. After 24 months, there was no difference between groups in days spent at home [incidence rate ratio 1.03; 95% confidence interval (CI) 0.98-1.09]. After 12 months, the costs per person-year were 1.60-fold in the exercise group (95% CI 1.23-1.98), and after 24 months, 1.23-fold (95% CI 0.95-1.50) versus usual care. Over 12 months, the exercise group gained 0.04 quality-adjusted life-years and maintained the baseline 15D level, while the score in the usual care group deteriorated (P for group <.001, time 0.002, interaction 0.004).

CONCLUSIONS AND IMPLICATIONS

Physical exercise did not increase the number of days spent at home. Exercise prevented deterioration of HRQoL, and in the frail subgroup, all intervention costs were compensated with decreased utilization of other health care and social services over 24 months.

Frailty and COVID-19: A Systematic Scoping Review

Older people have paid a huge toll in terms of mortality during the coronavirus disease-19 (COVID-19) pandemic. Frailty may have contributed to the vulnerability of older people to more severe clinical presentation. We aimed at reviewing available evidence about frailty and COVID-19. We searched PUBMED, Web of Science, and EMBASE from 1 December 2019 to 29 May 2020. Study selection and data extraction were performed by three independent reviewers. Qualitative synthesis was conducted and quantitative data extracted when available. Forty papers were included: 13 editorials, 15 recommendations/guidelines, 3 reviews, 1 clinical trial, 6 observational studies, 2 case reports. Editorials and reviews underlined the potential clinical relevance of assessing frailty among older patients with COVID-19. However, frailty was only investigated in regards to its association with overall mortality, hospital contagion, intensive care unit admission rates, and disease phenotypes in the few observational studies retrieved. Specific interventions in relation to frailty or its impact on COVID-19 treatments have not been evaluated yet. Even with such limited evidence, clinical recommendations on the use of frailty tools have been proposed to support decision making about escalation plan. Ongoing initiatives are expected to improve knowledge of COVID-19 interaction with frailty and to promote patient-centered approaches.

Diagnosis and Management of Frailty in Primary Health Care

Disability in older adults has become a significant burden, both individually and socially, due to the rapidly aging population in Korea. It is important to manage both frailty and chronic diseases to delay disability. Frailty, which is considered to be a transition phase between healthy status and disability, is defined as a significant decline in functional reserves of multiple organ systems and the resultant extreme vulnerability to stressors, leading to a higher risk of adverse health-related outcomes. The frailty phenotype and frailty index are the most commonly used methods to diagnose frailty. Frailty is related to physical, psychological, cognitive, and social dysfunction, and is sometimes caused by chronic disease. Therefore, primary care providers are ideally situated to incorporate the concept of frailty into their practice, as they are champions in comprehensive care. Although the identification and treatment of frailty is not yet standard practice in primary care, primary care physicians must use the electronic frailty index to identify frailty in all the patients aged ≥65 years in the United Kingdom. In Canada, some insurance companies and governments are using a similar program, which is called the Community Actions and Resources Empowering Seniors model. The clinical practice guidelines of the International Conference of Frailty and Sarcopenia Research, as well as some additional references, will be introduced. Here, we review the current literature on how to diagnose and manage frailty in primary care.

Prevalence and Potential Predictors of Frailty among Community-Dwelling Older Persons in Northern Thailand: A Cross-Sectional Study

This study aimed to determine the prevalence and associated factors of frailty among Thai older persons. A cross-sectional study was conducted with a representative sample of 1806 older persons aged 60 years or older. Frailty was assessed by Fried’s frailty phenotypes, which consists of five criteria, namely, unintended weight loss, exhaustion, slow walking, weak handgrip and decreased physical activity. Older people who met 3 in 5, 1–2 in 5, and none of the criteria were considered frail, pre-frail and non-frail respectively. The prevalence was calculated and multinomial logistic regression was performed. Prevalence rates of frailty, pre-frailty and non-frailty were 13.9% (95% CI 9.9 to 18.8), 50.9% (95% CI 47.5 to 54.1) and 35.1% (95% CI 31.5 to 39.9), respectively. Increasing age, lower education, having no spouse, poorer health perception, increasing number of comorbidities, osteoarthritis and smaller mid-arm circumference increased the risk of frailty (p < 0.001). The prevalence of geriatric frailty syndrome in this study was much higher than that of developed countries but was lower than that of less developed countries. Factors associated with frailty reflect common characteristics of disadvantaged older persons in Thailand.

Measuring Frailty in Health Care Databases for Clinical Care and Research

Considering the increasing burden and serious consequences of frailty in aging populations, there is increasing interest in measuring frailty in health care databases for clinical care and research. This review synthesizes the latest research on the development and application of 21 frailty measures for health care databases. Frailty measures varied widely in terms of target population (16 ambulatory, 1 long-term care, and 4 inpatient), data source (16 claims-based and 5 electronic health records [EHR]-based measures), assessment period (6 months to 36 months), data types (diagnosis codes required for 17 measures, health service codes for 7 measures, pharmacy data for 4 measures, and other information for 9 measures), and outcomes for validation (clinical frailty for 7 measures, disability for 7 measures, and mortality for 16 measures). These frailty measures may be useful to facilitate frailty screening in clinical care and quantify frailty for large database research in which clinical assessment is not feasible.

Utility of Frailty Screening Tools in Older Surgical Patients

Frailty is a loss of functional reserve that compromises a person's ability to cope with stressors such as surgery. Identifying and quantifying frailty may enable intensive rehabilitation interventions, caregiver support, or consideration of palliative care before surgery. This study describes the characteristics of five frailty screening tools, namely the Geriatric 8, Vulnerable Elders Survey-13, the Groningen Frailty Indicator, Edmonton Frailty Scale (EFS), and Clinical Frailty Scale. We further propose an approach incorporating a frailty scale into preoperative assessment, wherein older patients undergoing elective general surgery are screened using EFS, and frail patients are offered comprehensive geriatric assessment. The expected outcome is an individualized patient-centered care plan that will reduce frailty and optimize the patient's condition before surgery.

Relevance of oxidative stress and inflammation in frailty based on human studies and mouse models

Frailty represents a state of vulnerability and increases the risk of negative health outcomes, which is becoming an important public health problem. Over recent years, multiple independent studies have attempted to identify biomarkers that can predict, diagnose, and monitor frailty at the biological level. Among them, several promising candidates have been associated with frailty status including antioxidants and free radicals, and also inflammatory response biomarkers. In this review, we will summarize the more recent advances in this field. Moreover, the identification of scales and measurements to detect and quantify frailty in aged mice, as well as the generation of mouse models, have started to unravel the underlying biological and molecular mechanisms of frailty. We will discuss them here with an emphasis on murine models with overexpression of glucose-6-phosphate dehydrogenase and loss of function of superoxide dismutase and interleukin 10, which reveal that altered oxidative stress and inflammation pathways are involved in the physiopathology of frailty. In summary, we provide the current available evidence, from both human cohorts and experimental animal models, that highlights oxidative damage and inflammation as relevant biomarkers and drivers of frailty.

Multidimensional Approach to Frailty

The concept of frailty syndrome (FS) was first described in the scientific literature three decades ago. For a very long time, we understood it as a geriatric problem, recently becoming one of the dominant concepts in cardiology. It identifies symptoms of FS in one in 10 elderly people. It is estimated that in Europe, 17% of elderly people have FS. The changes in FS resemble and often overlap with changes associated with the physiological aging process of the body. Although there are numerous scientific reports confirming that FS is age correlated, it is not an unavoidable part of the aging process and does not apply only to the elderly. FS is a reversible clinical condition. To maximize benefits of frailty-reversing activities for patient with frailty, identification of its determinants appears to be fundamental. Many of the determinants of the FS have already been known: reduction in physical activity, malnutrition, sarcopenia, polypharmacy, depressive symptom, cognitive disorders, and lack of social support. This review shows that insight into FS determinants is the starting point for building both the comprehensive definition of FS and the adoption of the assessment method of FS, and then successful clinical management.

Frailty Phenotype: Evidence of Both Physical and Mental Health Components in Community-Dwelling Early-Old Adults

Background

Demographic aging results in increased incidence of old-age disability. Frailty is a major factor contributing to old-age disability. The aim of this study was to investigate the prevalence of the frailty phenotype as defined by Fried et al and to estimate the need for associated preventative interventions in early-old community-dwelling inhabitants of the southern industrial region of Poland, as well as to investigate the defining components of the frailty phenotype.

Methods

The study group consisted of 160 individuals with an average age of 66.8 ± 4.2 years (\documentclass[12pt]{minimal} \usepackage{wasysym} \usepackage[substack]{amsmath} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage[mathscr]{eucal} \usepackage{mathrsfs} \DeclareFontFamily{T1}{linotext}{} \DeclareFontShape{T1}{linotext}{m}{n} {linotext }{} \DeclareSymbolFont{linotext}{T1}{linotext}{m}{n} \DeclareSymbolFontAlphabet{\mathLINOTEXT}{linotext} \begin{document} $$\bar x$$ \end{document} ± SD), 71 (44.4%) of study participants were women. The cohort was randomized out of over 843 thousand community-dwelling Upper Silesian inhabitants aged 60–74 years, who agreed to participate in this project. A comprehensive geriatric assessment (CGA), frailty phenotype test (as described by Fried et al) blood tests and bioimpedance body structure analysis was completed for study participants. Functional assessment included Barthel Index of Activities of Daily Living (Barthel Index), Instrumental Activities of Daily Living Scale (IADL), Mini-Mental State Examination (MMSE), the Timed Up and Go (TUG) test, Tinetti Performance-Oriented Mobility Assessment (POMA), and Geriatric Depression Scale – Short Form (GDS-SF).

Results

Prefrailty was diagnosed in 24.4% of the subjects (95% Confidence Interval (CI) = 17.7–31.0%; 31% in women and 19.1% in men, P=0.082) and frailty in 2.5% subjects (95% CI 0.1–4.9%; more frequently in women: 4.2% versus 1.1% in men, P=0.046). Having one or more positive frailty criteria was positively associated with depression (odds ratio (OR)=2.85, 95% CI=1.08–7.54, P=0.035) and negatively associated with MMSE score (OR=0.72, 95% CI=0.56–0.93, P=0.012) and fat-free mass (OR=0.96, 95% CI=0.92–0.99, P=0.016) in multivariate logistic regression analysis adjusted for age, sex, disease prevalence, number of medications, functional tests (Barthel Index, IADL, MMSE, GDS-SF), BMI, bioimpedance body composition score, and blood tests.

Conclusion

At least 25% of the early-old community-dwelling population would benefit from a frailty prevention program. The frailty phenotype reflects both physical and mental health in this population.

Oral Management in Rehabilitation Medicine: Oral Frailty, Oral Sarcopenia, and Hospital-Associated Oral Problems

Oral health is a crucial but often neglected aspect of rehabilitation medicine. Approximately 71% of hospitalized rehabilitation patients and 91% of hospitalized acute care patients have impaired oral health. Poor oral condition in hospitalized patients can be attributed to factors such as age, physical dependency, cognitive decline, malnutrition, low skeletal muscle mass and strength, and multimorbidity. Another major factor is a lack of knowledge and interest in oral problems among health care workers. Recently, new concepts have been proposed, such as oral frailty, oral sarcopenia, and hospital-associated oral problems. Oral frailty, the accumulation of a slightly poor status of oral conditions and function, strongly predicts physical frailty, dysphagia, malnutrition, need for long-term care, and mortality in community-dwelling older adults. Oral sarcopenia refers to sarcopenia associated with oral conditions and function, although its definition has not yet been fully discussed. Hospital-associated oral problems are caused by disease, disease treatment, surgery, endotracheal intubation, poor self-care abilities, lack of care by medical staff, drugs, and iatrogenic factors during hospitalization. Furthermore, oral problems have negative impacts on rehabilitation outcomes, which include functional recovery, length of hospital stay, discharge home, and in-hospital mortality. Oral health management provided by dental hygienists improves not only oral status and function, swallowing function, and nutritional status but also activities of daily living, discharge home, and in-hospital mortality in post-acute rehabilitation. Oral rehabilitation, promotion, education, and medical-dental collaboration can be effective interventions for oral problems and therefore are necessary to improve rehabilitation outcomes.

Age-Related Frailty: A Clinical Model for Geroscience?

In their everyday practice, geriatricians are confronted with the fact that older age and multimorbidity are associated to frailty. Indeed, if we take the example of a very old person with no diseases that progressively becomes frail with no other explanation, there is a natural temptation to link frailty to aging. On the other hand, when an old person with a medical history of diabetes, arthritis and congestive heart failure becomes frail there appears an obvious relationship between frailty and comorbidity. The unsolved question is: Considering that frailty is multifactorial and in the majority of cases comorbidity and aging are acting synergistically, can we disentangle the main contributor to the origin of frailty: disease or aging? We believe that it is important to be able to differentiate age-related frailty from frailty related to comorbidity. In fact, with the emergence of geroscience, the physiopathology, diagnosis, prognosis and treatment will probably have to be different in the future.

Deficiência de vitamina B12 e fatores associados em idosos institucionalizados

Resumo Objetivo Avaliar a frequência de deficiência de vitamina B12 e fatores associados em idosos institucionalizados. Método Analisamos 65 idosos, com idade média de 80±9 anos (61-113), de uma instituição geriátrica filantrópica de longa permanência. A dosagem sérica de vitamina B12 foi analisada e classificada em: normal (≥299 pg/mL), limítrofe (200-298 pg/mL) e deficiência (<200 pg/mL). Foi analisada a associação com tempo de permanência na instituição, declínio cognitivo e funcional, uso regular de biguanidas e inibidores de bomba de prótons, considerados fatores de risco para hipovitaminose B12, utilizando os testes de análise bivariada (paramétrica e não paramétrica) e regressão de Poisson. Resultados A deficiência de vitamina B12 estava presente em 21,5% e valores limítrofes em 32,3% da amostra. Dentre os idosos, 52,9% apresentavam demência de causas diversas, 49,2% hipertensão arterial, 29,2% com anemia (21,5% normocítica, 4,6% microcítica e 3,1% macrocítica), 18,5% diabéticos; 27,7% faziam uso de polifarmácia, com 12,3% em uso de metformina e 16,9% com inibidores de bomba de prótons. No modelo multivariado não houve associação entre a deficiência de vitamina B12 com as variáveis estudadas. Conclusão Observamos uma frequência importante de valores limítrofes e baixos de vitamina B12 nos pacientes dessa instuição geriátrica de cuidados permanentes, porém sem associação com os fatores de risco para sua deficiência estudado, o que torna importante a inclusão da dosagem sérica dessa vitamina na rotina de exames laboratoriais desse grupo.

Can We Distinguish Age-Related Frailty from Frailty Related to Diseases ? Data from the MAPT Study

BACKGROUND

No study has tried to distinguish subjects that become frail due to diseases (frailty related to diseases) or in the absence of specific medical events; in this latter case, it is possible that aging process would act as the main frailty driver (age-related frailty).

OBJECTIVES

To classify subjects according to the origin of physical frailty: age-related frailty, frailty related to diseases, frailty of uncertain origin, and to compare their clinical characteristics.

MATERIALS AND METHODS

We performed a secondary analysis of the Multidomain Alzheimer Preventive Trial (MAPT), including 195 subjects ≥70 years non-frail at baseline who became frail during a 5-year follow-up (mean age 77.8 years ± 4.7; 70% female). Physical frailty was defined as presenting ≥3 of the 5 Fried criteria: weight loss, exhaustion, weakness, slowness, low physical activity. Clinical files were independently reviewed by two different clinicians using a standardized assessment method in order to classify subjects as: "age-related frailty", "frailty related to diseases" or "frailty of uncertain origin". Inconsistencies among the two raters and cases of uncertain frailty were further assessed by two other experienced clinicians.

RESULTS

From the 195 included subjects, 82 (42%) were classified as age-related frailty, 53 (27%) as frailty related to diseases, and 60 (31%) as frailty of uncertain origin. Patients who became frail due to diseases did not differ from the others groups in terms of functional, cognitive, psychological status and age at baseline, however they presented a higher burden of comorbidity as measured by the Cumulative Illness Rating Scale (CIRS) (8.20 ± 2.69; vs 6.22 ± 2.02 frailty of uncertain origin; vs. 3.25 ± 1.65 age-related frailty). Time to incident frailty (23.4 months ± 12.1 vs. 39.2 ± 19.3 months) and time spent in a pre-frailty condition (17.1 ± 11.4 vs 26.6 ± 16.6 months) were shorter in the group of frailty related to diseases compared to age-related frailty. Orthopedic diseases (n=14, 26%) were the most common pathologies leading to frailty related to diseases, followed by cardiovascular diseases (n=9, 17%) and neurological diseases (n = 8, 15%).

CONCLUSION

People classified as age-related frailty and frailty related to diseases presented different frailty-associated indicators. Future research should target the underlying biological cascades leading to these two frailty classifications, since they could ask for distinct strategies of prevention and management.

Prediction of Death with the FRAIL-NH in Institutionalized Older Adults: A Longitudinal Study from a Middle-Income Country

BACKGROUND/OBJECTIVES

Frailty is common in nursing homes. However, few studies reported longitudinal validation for death prediction or cut-off scores with the FRAIL-NH, which is designed to be used in nursing homes. Moreover, no studies came from Latin America, where frailty is highly prevalent. Our objectives were to evaluate (1) the prevalence of frailty according to the FRAIL-NH scale, and (2) its association to and the best cut-off score for predicting death after 12 months.

DESIGN

longitudinal study with 12-month follow-up.

SETTING

6 nursing homes in southwest of Brazil.

PARTICIPANTS

293 residents with 60 years old or more.

METHODS

Frailty was evaluated through the FRAIL-NH scale. Logistic regression was used to estimate the associated between frailty and mortality adjusted for age and sex. ROC curve was used to evaluate the accuracy of the scale for mortality prediction.

RESULTS

Frailty was prevalent (47.4%) and was associated with death (odds ratio=1.31, 95% confidence interval [CI]=1.18-1.48, p<0.001). The area under the curve was 0.741 (95%CI=0.68-0.79). The sensitivity and specificity of the FRAIL-NH scale according to the best value of the Youden Index was 72.9% and 66.5%, respectively, for a cut-off > 8 points.

CONCLUSIONS

Frailty is prevalent in nursing homes according to the FRAIL-NH and it was associated with one-year prediction of death for a cut-off > 8 points.