Diagnostic test accuracy of simple instruments for identifying frailty in community-dwelling older people: a systematic review

The impact of frailty on long-term functional outcomes in severely injured geriatric patients

BACKGROUND

The incidence of severe injury in the geriatric population is increasing. However, the impact of frailty on long-term outcomes after injury in this population remains understudied. Therefore, we aimed to understand the impact of frailty on long-term functional outcomes of severely injured geriatric patients.

METHODS

We conducted a retrospective cohort study, including patients ≥65 years old with an Injury Severity Score ≥15, who were admitted between December 2015 and April 2022 at one of 3 level 1 trauma centers in our region. Patients were contacted between 6 and 12 months postinjury and administered a trauma quality of life survey, which assessed for the presence of new functional limitations in their activities of daily living. We defined frailty using the mFI-5 validated frailty tool: patients with a score ≥2 out of 5 were considered frail. The impact of frailty on long-term functional outcomes was assessed using 1:1 propensity matching adjusting for patient characteristics, injury characteristics, and hospital site.

RESULTS

We included 580 patients, of whom 146 (25.2%) were frail. In a propensity-matched sample of 125 pairs, frail patients reported significantly higher functional limitations than nonfrail patients (69.6% vs 47.2%; P < .001). This difference was most prominent in the following activities: climbing stairs, walking on flat surfaces, going to the bathroom, bathing, and cooking meals. In a subgroup analysis, frail patients with traumatic brain injuries experienced significantly higher long-term functional limitations.

CONCLUSION

Frail geriatric patients with severe injury are more likely to have new long-term functional outcomes and may benefit from screening and postdischarge monitoring and rehabilitation services.

A Wrist-Worn Wearable Device Can Identify Frailty in Middle-Aged and Older Adults: The UK Biobank Study

OBJECTIVES

Digital gait biomarkers collected from body-worn devices can remotely and continuously collect movement types, quantity, and quality in real life. This study assessed whether digital gait biomarkers from a wrist-worn device could identify people with frailty in a large sample of middle-aged and older adults.

DESIGN

Cross-sectional study.

SETTING AND PARTICIPANTS

A total of 5822 middle-aged (43-64 years) and 4344 older adults (65-81 years) who participated in the UK Biobank study.

MEASURES

Frailty was assessed using a modified Fried's frailty assessment and was defined as having ≥3 of the 5 frailty criteria (weakness, low activity levels, slowness, exhaustion, and weight loss). Fourteen digital gait biomarkers were extracted from accelerometry data collected from wrist-worn sensors worn continuously by participants for up to 7 days.

RESULTS

A total of 238 (4.1%) of the middle-aged group and 196 (4.5%) of the older group were categorized as frail. Multivariable logistic regression analysis revealed that less daily walking (as assessed by step counts), slower maximum walking speed, and increased step time variability best-identified people with frailty in the middle-aged group [area under the curve (95% CI): 0.70 (0.66-0.73)]. Less daily walking, slower maximum walking speed, increased step time variability, and a lower proportion of walks undertaken with a manual task best-identified people with frailty in the older group [0.73 (0.69-0.76)].

CONCLUSIONS AND IMPLICATIONS

Our findings indicate that measures obtained from wrist-worn wearable devices worn in everyday life can identify individuals with frailty in both middle-aged and older people. These digital gait biomarkers may facilitate screening programs and the timely implementation of frailty-prevention interventions.

VO2MAX, 6-minute walk, and muscle strength each correlate with frailty in US veterans

Introduction

Frailty often manifests as an increased vulnerability to adverse outcomes, and detecting frailty is useful for informed healthcare decisions. Veterans are at higher risk for developing frailty and at younger ages. The goal of this study was to investigate approaches in Veterans that can better inform the physiologic underpinnings of frailty, including maximal oxygen uptake (VO2max), 6-min walk, muscle strength, and inflammatory biomarkers.

Methods

Participants (N = 42) were recruited from the Buffalo VA Medical Center. Inclusion criteria: ages 60-85, male or female, any race, and not having significant comorbidities or cognitive impairment. Outcome measures included: the Fried frailty phenotype, the short physical performance battery (SPPB), quality of life (QOL) using the Q-LES-Q-SF, and the following physiologic assessments: VO2max assessment on an upright stationary bicycle, 6-min walk, and arm and leg strength. Additionally, inflammatory biomarkers (C-reactive protein, IL-6, IL-10, interferon-γ, and TNF-α) were measured using ELLA single and multiplex ELISA.

Results

Participants: 70.3 ± 7.4 years of age: 34 males and 8 females, BMI = 30.7 ± 5.4 kg/m2, 26 white and 16 African American. A total of 18 (42.8%) were non-frail, 20 (47.6%) were pre-frail, and 4 (9.5%) were frail. VO2max negatively correlated with Fried frailty scores (r = -0.40, p = 0.03, N = 30), and positively correlated with SPPB scores (r = 0.50, p = 0.005), and QOL (r = 0.40, p = 0.03). The 6-min walk test also significantly correlated with VO2max (r = 0.57, p = 0.001, N = 42) and SPPB (r = 0.55, p = 0.0006), but did not quite reach a significant association with frailty (r = -0.28, p = 0.07). Arm strength negatively correlated with frailty (r = -0.47, p = 0.02, N = 26), but not other parameters. Inflammatory profiles did not differ between non-frail and pre-frail/frail participants.

Conclusion

Objectively measured cardiorespiratory fitness was associated with important functional outcomes including physical performance, QOL, and frailty in this group of older Veterans. Furthermore, the 6-min walk test correlated with VO2max and SPPB, but more validation is necessary to confirm sensitivity for frailty. Arm strength may also be an important indicator of frailty, however the relationship to other indicators of physical performance is unclear.

Association of Frailty With In-hospital and Long-term Outcomes Among STEMI Patients Receiving Primary Percutaneous Coronary Intervention

Background

Frailty is generally a marker of worse prognosis. The impact of frailty on both in-hospital and long-term outcomes in ST-segment-elevation myocardial infarction (STEMI) patients has not been well described. Given this context, we aimed to determine the prevalence and impact of frailty on in-hospital and 1-year outcomes in STEMI patients undergoing primary percutaneous coronary intervention (pPCI).

Methods

This retrospective study reviewed STEMI patients aged ≥ 65 years who underwent pPCI at 1 of the 2 pPCI-capable hospitals at Vancouver Coastal Health. A frailty index (FI) was determined using a deficit-accumulation model, with those with an FI > 0.25 being defined as frail. The primary outcome was 1-year all-cause mortality. The secondary outcomes included in-hospital all-cause mortality, a composite of adverse in-hospital outcomes (all-cause mortality, cardiogenic shock, heart failure, reinfarction, major bleeding, or stroke), and the individual components of the composite.

Results

A total of 1579 patients were reviewed, of which 228 (14.4%) were determined to be frail. After multivariable adjustment, greater frailty (ie, increasing FI) was associated with increased in-hospital all-cause mortality (odds ratio [OR], 1.88; 95% confidence interval [CI], 1.50-2.35, P < 0.001), the composite adverse in-hospital outcome (OR, 1.46; 95% CI, 1.27-1.68, P < 0.001), and 1-year all-cause mortality (OR, 1.48; 95% CI, 1.10-2.00, P = 0.011).

Conclusions

In a contemporary STEMI cohort of older patients receiving pPCI, 1 in 7 patients were frail, with greater frailty being independently associated with increased in-hospital and long-term adverse outcomes. These findings highlight the need for the early recognition of frailty and implementation of an interdisciplinary approach toward the management of frail STEMI patients.

A pilot study to identify factors associated with frailty within the World Trade Center general responder cohort

BACKGROUND

Given the significant exposures experienced by the World Trade Center (WTC) general responders, there is increasing interest in understanding the effect of these exposures on aging in this population. We aim to identify factors that may be associated with frailty, a clinical syndrome characterized by a decrease in one's reserve that has been linked to poor health outcomes.

METHODS

WTC general responders enrolled in the WTC Health Program aged 50 and older provided informed consent. Validated frailty assessments, the Frailty Phenotype (with the Johns Hopkins Frailty Assessment Calculator) along with the FRAIL scale, categorized nonfrail from prefrail/frail. Fall risk, functional status, and cognition were also assessed. WTC variables, including an identified WTC-certified condition, were utilized. The risk of frailty was estimated using log binomial regression analysis. A 95% confidence interval (CI) was used to estimate the prevalence ratio (PR).

RESULTS

One hundred and six participants were included; 38 (35.8%) were classified as pre-frail or frail. More of the pre-frail/frail group were obese (57.9% vs. 25%; p = 0.004) and had a WTC-certified condition (78.9% vs. 58.8%; p = 0.036). Obesity (PR = 2.43, 95% CI = 1.31, 4.53), a WTC-certified condition (PR = 1.77, 95% CI = 1.09, 2.89), and risk of falling (PR = 1.97, 95% CI = 1.01, 3.84) were independently associated with frailty.

CONCLUSIONS

Obesity and having a WTC-certified condition were found to be risk factors for frailty in our pilot study. Future work may focus on further identifying risk factors for frailty in the larger WTC general responder population.

Assessing the Benefits and Harms of Pharmacotherapy in Older Adults with Frailty: Insights from Pharmacoepidemiologic Studies of Routine Health Care Data

The objective of this review is to summarize and appraise the research methodology, emerging findings, and future directions in pharmacoepidemiologic studies assessing the benefits and harms of pharmacotherapies in older adults with different levels of frailty. Older adults living with frailty are at elevated risk for poor health outcomes and adverse effects from pharmacotherapy. However, current evidence is limited due to the under-enrollment of frail older adults and the lack of validated frailty assessments in clinical trials. Recent advancements in measuring frailty in administrative claims and electronic health records (database-derived frailty scores) have enabled researchers to identify patients with frailty and to evaluate the heterogeneity of treatment effects by patients' frailty levels using routine health care data. When selecting a database-derived frailty score, researchers must consider the type of data (e.g., different coding systems), the length of the predictor assessment period, the extent of validation against clinically validated frailty measures, and the possibility of surveillance bias arising from unequal access to care. We reviewed 13 pharmacoepidemiologic studies published on PubMed from 2013 to 2023 that evaluated the benefits and harms of cardiovascular medications, diabetes medications, anti-neoplastic agents, antipsychotic medications, and vaccines by frailty levels. These studies suggest that, while greater frailty is positively associated with adverse treatment outcomes, older adults with frailty can still benefit from pharmacotherapy. Therefore, we recommend routine frailty subgroup analyses in pharmacoepidemiologic studies. Despite data and design limitations, the findings from such studies may be informative to tailor pharmacotherapy for older adults across the frailty spectrum.

Frailty identification and management among Brazilian healthcare professionals: a survey

BACKGROUND

National and international guidelines on frailty assessment and management recommend frailty screening in older people. This study aimed to determine how Brazilian healthcare professionals (HCPs) identify and manage frailty in practice.

METHODS

An anonymous online survey on the assessment and management of frailty was circulated virtually through HCPs across Brazil.

RESULTS

Most of the respondants used non-specific criteria such as gait speed (45%), handgrip strength (37.6%), and comprehensive geriatric assessment (33.2%). The use of frailty-specific criteria was lower than 50%. The most frequently used criteria were the Frailty Index (19.1%), Frailty Phenotype (13.2%), and FRAIL (12.5%). Only 43.5% felt confident, and 40% had a plan to manage frailty. In the multivariate-adjusted models, training was the most crucial factor associated with assessing frailty, confidence, and having a management plan (p < 0.001 for all). Those with fewer years of experience were more likely to evaluate frailty (p = 0.009). Being a doctor increased the chance of using a specific tool; the opposite was true for dietitians (p = 0.03). Those who assisted more older people had a higher likelihood of having a plan (p = 0.011).

CONCLUSION

Frailty assessment was heterogeneous among healthcare professions groups, predominantly using non-specific criteria. Training contributed to frailty assessment, use of specific criteria, confidence, and having a management plan. This data informs the need for standardized screening criteria and management plans for frailty, in association with increasing training at the national level for all the HCPs who assist older people.

Biomarkers of frailty

Several biomarkers have been proposed to identify frailty, a multisystemic age-related syndrome. However, the complex pathophysiology and the absence of a consensus on a comprehensive and universal definition make it challenging to pinpoint a singular biomarker or set of biomarkers that conclusively characterize frailty. This review delves into the main laboratory biomarkers, placing special emphasis on those associated with various pathways closely tied to the frailty condition, such as inflammation, oxidative stress, mitochondrial dysfunction, metabolic and endocrine alterations and microRNA. Additionally, we provide a summary of different clinical biomarkers encompassing different tools that have been proposed to assess frailty. We further address various imaging biomarkers such as Dual Energy X-ray Absorptiometry, Bioelectrical Impedance analysis, Computed Tomography and Magnetic Resonance Imaging, Ultrasound and D3 Creatine dilution. Intervention to treat frailty, including non-pharmacological ones, especially those involving physical exercise and nutrition, and pharmacological interventions, that include those targeting specific mechanisms such as myostatin inhibitors, insulin sensitizer metformin and with special relevance for hormonal treatments are mentioned. We further address the levels of different biomarkers in monitoring the potential positive effects of some of these interventions. Despite the availability of numerous biomarkers, their performance and usefulness in the clinical arena are far from being satisfactory. Considering the multicausality of frailty, there is an increasing need to assess the role of sets of biomarkers and the combination between laboratory, clinical and image biomarkers, in terms of sensitivity, specificity and predictive values for the diagnosis and prognosis of the different outcomes of frailty to improve detection and monitoring of older people with frailty or at risk of developing it, being this a need in the everyday clinical practice.

Evaluation and Application of Frailty Index in Colorectal Cancer: A Comprehensive Review

Colorectal cancer (CRC) is a common malignant tumor that primarily affects the elderly population. Surgery is one of the main treatment modalities for CRC. Frailty is a prevalent characteristic among the elderly and a leading cause of mortality. The frailty index (FI) is a comprehensive tool for assessing patients' frailty status, quantifying indicators such as weight loss, fatigue, and nutritional status, to reflect the degree of frailty. In recent years, the FI has undergone modifications to more accurately evaluate the risk of surgical complications and prognosis in CRC patients. This review summarizes the methods for frailty assessment, the development and modifications of the FI, and compiles the research findings and applications of the FI in predicting surgical complications, postoperative recovery, and survival rates in CRC patients. Furthermore, limitations in the current modified frailty index (mFI) and future research directions are discussed. This review provides essential references for further understanding the role of frailty in CRC patients and the clinical application of the mFI.

Association between Physical Function, Mental Function and Frailty in Community-Dwelling Older Adults: A Cross-Sectional Study

Background: This study examines the relationship between physical and mental function and frailty, independently and in conjunction with polypharmacy, among older adults. Methods: This cross-sectional study consisted of 368 participants aged ≥60 years. The participants were categorized into either robust or frail groups using Fried's frailty phenotype. Physical functions were assessed using grip strength, gait speed, Timed Up and Go (TUG), the Five Chair Sit to Stand Test (FCSST) and the Six-Minute Walk Test (SMWT). Mental functions were assessed using cognitive function and depression. Cognitive function was measured using Mini-Mental State Examination (MMSE). Depression was assessed with the Korean version of the Short Geriatric Depression Scale (SGDS). Results: The mean age of study population was 75.4 years. In this population, we identified 78.8% (n = 290) robust participants and 21.2% (n = 78) frail participants. The study examined frailty status (frail vs. non-frail) and frailty with and without polypharmacy using multivariate logistic regressions, adjusting for age and sex. In the logistic regression model estimating the risk of frailty, after adjustments for age, sex, BMI, and number of medications, individuals with low SMWT showed a significantly increased risk of frailty, with an odds ratio (OR) of 8.66 and a 95% confidence interval (CI) of 4.55-16.48. Additionally, global cognitive function was associated with a 1.97-fold increase in frailty risk (95% CI: 1.02-3.67). Moreover, in models adjusted for age, sex, and BMI to assess frailty risk linked to polypharmacy, the TUG, SMWT, and SGDS all showed increased risks, with ORs of 3.65 (95% CI: 1.07-12.47), 5.06 (95% CI: 1.40-18.32), and 5.71 (95% CI: 1.79-18.18), respectively. Conclusions: Physical function (SMWT, FCSST, TUG) and mental function (depression, cognition) were associated with frailty. By comprehensively examining these factors, we will gain valuable insights into frailty and enable more precise strategies for intervention and prevention.

Effects of Exercise on Frailty in Older People Based on ACSM Recommendations: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Objectives: The objective of the study was to carry out an analysis of the methodological quality of clinical trials (effects of exercise on frailty in older people) based on ACSM recommendations. Methods: The search scope included PubMed, Embase, Web of Science, Cochrane, and literature that cannot be retrieved from the database. The topic was the impact of exercise on frailty in elderly people. Changes in five outcome measures (FP, BI, SPPB, GS, and BMI) were assessed using mean differences (MD) and 95% confidence intervals (95% CI). A random effects model (RE) was used to conduct a meta-analysis and compare the results between subgroups. Results: The intervention effects of exercise on the five outcome indicators of frailty in elderly people were all significant (p < 0.05). The effect of a high-consistency subgroup on outcome indicators FP and GS was more significant than that of the low- or uncertain-consistency subgroup (MD: -1.09 < -0.11, MD: 2.39 >1.1). There was no significant difference in the intervention effect as reflected in the outcome measures SPPB and BMI in the high-consistency subgroup (p = 0.07, p = 0.34). There was no significant difference in the impact of the intervention on the outcome measure BI between the two subgroups (p = 0.06, p = 0.14). Conclusions: Exercise prescriptions with high consistency with ACSM recommendations may be more effective in both FP and GS interventions than those with uncertain or low consistency. However, it is essential to note that the data derived from the meta-analysis is still subject to the small number of studies, the unknown degree of consistency of participants in individual studies, and the different mix of cases in the studies.

Frailty and nutrition

As the ageing population grows and forms a significant category of over 65s in many societies, along with it comes the risk of developing physical and psychological degenerative changes. This presents many challenges for health and social care services in not only identifying those at risk but also managing that risk to try to preserve health and independence for as long as possible. Screening for frailty has supported services to identify those that may be at risk of hospitalisation, requiring long term care or support services at home in older age. Frailty can be exacerbated by the risk of nutritional deficiencies and more severe malnutrition. Therefore, screening for frailty should also include a nutritional assessment, which can be supported by a recognition of the need for nutritional support along with other holistic frailty management.

Defining the Role of Frailty in the Transition from Mild Cognitive Impairment to Dementia and in Dementia Progression

INTRODUCTION

Neurodegenerative diseases are a growing concern in an aging global population. Frailty, often conceptualized as a state of diminished physiological reserve and increased susceptibility to stressors, emerges as a pivotal factor in this context. While frailty may be modified, it is essential to recognize its frequently irreversible nature, necessitating a careful approach when considering its role and influence in the progression from mild cognitive impairment (MCI) to dementia and within dementia progression.

METHODS

A retrospective study including 1,284 participants, attending a Cognitive Disturbances and Dementia unit from January 2021 to May 2023, was conducted. Frailty was assessed using the clinical frailty scale (CFS) score. Multilevel univariate and multivariate logistic regression models were developed to determine the contributions of patient characteristics, including frailty, to disease progression.

RESULTS

Frailty significantly increased with higher global clinical dementia rating (CDR) subgroups, suggesting escalating frailty burden with disease progression. Age, CFS, and mini-mental state examination (MMSE) scores were significant predictors of progression from MCI to dementia and to more severe dementia stages, even when considering the independence from variables contributing to frailty. Patients transitioning to a higher CDR group exhibited higher CFS scores. Age, education, anticholinergic burden, cumulative illness rating scale - geriatric, MMSE, and neuropsychiatric inventory scores significantly contributed to frailty.

CONCLUSIONS

Frailty plays a critical role in the transition from MCI to dementia and within dementia progression. Age, cognitive impairment, and frailty were identified as significant predictors of disease progression. The CFS is a clinically applicable tool for frailty assessment. Regular frailty assessments may be valuable in early detection and management of dementia.

[Frailty: Concept and Diagnosis]

Frailty increases the older adult's vulnerability to suffer adverse health outcomes. To date, no gold standard for the diagnosis of frailty exists. This article provides an overview of the most relevant frailty instruments and their scope of application.

Validity of a video-analysis-based app to detect prefrailty or frailty plus sarcopenia syndromes in community-dwelling older adults: Diagnostic accuracy study

Objectives

Sarcopenia and frailty have been associated with an increased risk of suffering health-related adverse events but the combination of both conditions results in worse health-related outcomes than either condition alone. Since both syndromes are reversible states, their early detection is fundamental. This study aims to validate a video analysis-based App to detect the presence of frailty or prefrailty plus sarcopenia syndromes and to analyze its construct validity with health-related risk factors.

Methods

A total of 686 community-dwelling older adults (median-age: 72, 59% female) were enrolled. Muscle power generated during a sit-to-stand test using the App and calf circumference were considered the index test. The reference standards were the EWGSOP2 criteria (five-chair stand test plus appendicular skeletal mass or skeletal muscle index) and Fried's frailty phenotype. Area under the curve (AUC), sensitivity, specificity, positive and negative predictive values (PPV and NPV) were calculated.

Results

The prevalence of both syndromes varied from 2.9% to 7.2% depending on the diagnostic criteria used for sarcopenia assessment. Excellent-to-outstanding AUC values were observed (range 0.80-0.92). Sensitivity and specificity ranged from 75% to 100% and 81.7% to 87.2%, respectively. PPV and NPV ranged from 12.1% to 37.5% and 97.9% to 100%, respectively. Individuals diagnosed by the App showed an increased risk of polypharmacy, depression, comorbidities, falls, hospitalization, low socioeconomical and educational levels, and smoking and poor self-perceived health compared to their healthy counterparts.

Conclusions

This App seems to be reliable to detect the simultaneous presence of both syndromes in community-dwelling older adults. Individuals diagnosed by the App showed more odds to have health-related risk factors.

Use of Artificial Intelligence in the Identification and Management of Frailty: A Scoping Review Protocol

INTRODUCTION

Rapid population ageing and associated health issues such as frailty are a growing public health concern. While early identification and management of frailty may limit adverse health outcomes, the complex presentations of frailty pose challenges for clinicians. Artificial intelligence (AI) has emerged as a potential solution to support the early identification and management of frailty. In order to provide a comprehensive overview of current evidence regarding the development and use of AI technologies including machine learning and deep learning for the identification and management of frailty, this protocol outlines a scoping review aiming to identify and present available information in this area. Specifically, this protocol describes a review that will focus on the clinical tools and frameworks used to assess frailty, the outcomes that have been evaluated and the involvement of knowledge users in the development, implementation and evaluation of AI methods and tools for frailty care in clinical settings.

METHODS AND ANALYSIS

This scoping review protocol details a systematic search of eight major academic databases, including Medline, Embase, PsycInfo, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Ageline, Web of Science, Scopus and Institute of Electrical and Electronics Engineers (IEEE) Xplore using the framework developed by Arksey and O'Malley and enhanced by Levac et al and the Joanna Briggs Institute. The search strategy has been designed in consultation with a librarian. Two independent reviewers will screen titles and abstracts, followed by full texts, for eligibility and then chart the data using a piloted data charting form. Results will be collated and presented through a narrative summary, tables and figures.

ETHICS AND DISSEMINATION

Since this study is based on publicly available information, ethics approval is not required. Findings will be communicated with healthcare providers, caregivers, patients and research and health programme funders through peer-reviewed publications, presentations and an infographic.

REGISTRATION DETAILS

OSF Registries (https://doi.org/10.17605/OSF.IO/T54G8).

Validated frailty measures using electronic primary care records: a review of diagnostic test accuracy

INTRODUCTION

Identification of people who have or are at risk of frailty enables targeted interventions, and the use of tools that screen for frailty using electronic records (which we term as validated electronic frailty measures (VEFMs)) within primary care is incentivised by NHS England. We carried out a systematic review to establish the sensitivity and specificity of available primary care VEFMs when compared to a reference standard in-person assessment.

METHODS

Medline, Pubmed, CENTRAL, CINHAL and Embase searches identified studies comparing a primary care VEFM with in-person assessment. Studies were quality assessed using Quality Assessment of Diagnostic Accuracy Studies revised tool. Sensitivity and specificity values were extracted or were calculated and pooled using StatsDirect.

RESULTS

There were 2,245 titles screened, with 10 studies included. These described three different index tests: electronic frailty index (eFI), claims-based frailty index (cFI) and polypharmacy. Frailty Phenotype was the reference standard in each study. One study of 60 patients examined the eFI, reporting a sensitivity of 0.84 (95% CI = 0.55, 0.98) and a specificity of 0.78 (0.64, 0.89). Two studies of 7,679 patients examined cFI, with a pooled sensitivity of 0.48 (95% CI = 0.23, 0.74) and a specificity of 0.80 (0.53, 0.98). Seven studies of 34,328 patients examined a polypharmacy as a screening tool (defined as more than or equal to five medications) with a pooled sensitivity of 0.61 (95% CI = 0.50, 0.72) and a specificity of 0.66 (0.58, 0.73).

CONCLUSIONS

eFI is the best-performing VEFM; however, based on our analysis of an average UK GP practice, it would return a high number of false-positive results. In conclusion, existing electronic frailty tools may not be appropriate for primary care-based population screening.

Assessing Physiologic Reserve and Frailty in the Older Emergency Department Patient: Should the Paradigm Change?

Older patients are more vulnerable to acute illness or injury because of reduced physiologic reserve associated with aging. Therefore, their assessment in the emergency department (ED) should include not only vital signs and their baseline values but also changes that reflect physiologic reserve, such as mobility, mental status, and frailty. Combining aggregated vitals sign scores and frailty might improve risk stratification in the ED. Implementing these changes in ED assessment may require the introduction of senior-friendly processes to ensure ED treatment is appropriate to the older patients' immediate discomfort, personal goals, and likely prognosis.

Discordance in Frailty Measures in Old Community Dwelling People with Multimorbidity - A Cross-Sectional Study

Purpose

Assessment of frailty is a key method to identify older people in need of holistic care. However, agreement between different frailty instrument varies. Thus, groups classified as frail by different instruments are not completely overlapping. This study evaluated differences in sociodemographic factors, cognition, functional status, and quality of life between older persons with multimorbidity who were discordantly classified by five different frailty instruments, with focus on the Clinical Frailty Scale (CFS) and Fried's Frailty Phenotype (FP).

Participants and Methods

This was a cross-sectional study in a community-dwelling setting. Inclusion criteria were as follows: ≥75 years old, ≥3 visits to the emergency department the past 18 months, and ≥3 diagnoses according to ICD-10. 450 participants were included. Frailty was assessed by CFS, FP, Short Physical Performance Battery (SPPB), Grip Strength and Walking Speed.

Results

385 participants had data on all frailty instruments. Prevalence of frailty ranged from 34% (CFS) to 75% (SPPB). Nine percent of participants were non-frail by all instruments, 20% were frail by all instruments and 71% had discordant frailty classifications. Those who were frail according to CFS but not by the other instruments had lower cognition and functional status. Those who were frail according to FP but not CFS were, to a larger extent, women, lived alone, had higher cognitive ability and functional status.

Conclusion

The CFS might not identify physically frail women in older community-dwelling people with multimorbidity. They could thus be at risk of not be given the attention their frail condition need.

Implementation and Core Components of a Multimodal Program including Exercise and Nutrition in Prevention and Treatment of Frailty in Community-Dwelling Older Adults: A Narrative Review

Increasing disability-free life expectancy is a crucial issue to optimize active ageing and to reduce the burden of evitable medical costs. One of the main challenges is to develop pragmatic and personalized prevention strategies in order to prevent frailty, counteract adverse outcomes such as falls and mobility disability, and to improve quality of life. Strong evidence reports the effectiveness of exercise interventions to improve various physical parameters and muscle function that are cornerstones of frailty. Other findings also suggest that the interactions between nutrition and physical exercise with or without health behavior promotion prevent the development of frailty. Multimodal programs, including structured exercise, adequate dietary intervention and health behavior promotion, appear increasingly consensual. However, in order for implementation in real-life settings, some pitfalls need to be addressed. In this perspective, structuring and tailoring feasible, acceptable and sustainable interventions to optimize exercise training responses are essential conditions to warrant short, medium and long-term individual benefits. The different components of exercise programs appear to be fairly consensual and effective. However, specific composition of the programs proposed (frequency, intensity, type, time, volume and progressiveness) have to be tailored to individual characteristics and objectives in order to improve exercise responses. The intervention approaches, behavioral strategies and indications for these programs also need to be refined and framed. The main objective of this work is to guide the actions of healthcare professionals and enable them to widely and effectively implement multimodal programs including exercise, nutrition and behavioral strategies in real-life settings.

A nurse-led comprehensive geriatric assessment intervention in primary care: A feasibility cluster randomized controlled trial

AIM

To determine the feasibility of a nurse-led, primary care-based comprehensive geriatric assessment (CGA) intervention.

DESIGN

A feasibility cluster randomized controlled trial.

METHODS

The trial was conducted in six general practices in the United Kingdom from May 2018 to April 2020. Participants were moderately/severely frail people aged 65 years and older living at home. Clusters were randomly assigned to the intervention arm control arms. A CGA was delivered to the intervention participants, with control participants receiving usual care. Study outcomes related to feasibility of the intervention and of conducting the trial including recruitment and retention. A range of outcome measures of quality of life, function, loneliness, self-determination, mortality, hospital admission/readmission and number of prescribed medications were evaluated.

RESULTS

All pre-specified feasibility criteria relating to recruitment and retention were met with 56 participants recruited in total (30 intervention and 26 control). Retention was high with 94.6% of participants completing 13-week follow-up and 87.5% (n = 49) completing 26-week follow-up. All outcome measures instruments met feasibility criteria relating to completeness and responsiveness over time. Quality of life was recommended as the primary outcome for a definitive trial with numbers of prescribed medications as a secondary outcome measure.

CONCLUSION

It is feasible to implement and conduct a randomized controlled trial of a nurse-led, primary care-based CGA intervention.

IMPACT

The study provided evidence on the feasibility of a CGA intervention for older people delivered in primary care. It provides information to maximize the success of a definitive trial of the clinical effectiveness of the intervention.

PATIENT OR PUBLIC CONTRIBUTION

Patient and public representatives were involved in the study design including intervention development and production of participant-facing documentation. Representatives served on the trial management and steering committees and, as part of this role, interpreted feasibility data. ISRCTN Number: 74345449.

Comprehensive geriatric assessment delivered by advanced nursing practitioners within primary care setting: a mixed-methods pilot feasibility randomised controlled trial

BACKGROUND

Comprehensive Geriatric Assessment (CGA)is a widely accepted intervention for frailty and can be cost-effective within a primary care setting.

OBJECTIVE

To explore the feasibility of identifying older adults with frailty and assess the subsequent implementation of a tailored CGA with care and support plan by Advanced Nursing Practitioners (ANPs).

METHODS

A mixed-method parallel randomised controlled trial was conducted. Participants were recruited from two General Practice (GP) centres between January and June 2019. Older adults with confirmed frailty, as assessed by practice nurses, were randomised, using a web service, to the intervention or treatment-as-usual (TAU) groups for six months with an interim and a final review. Data were collected on feasibility, health service usage, function, quality of life, loneliness, and participants' experience and perception of the intervention. Non-parametric tests were used to analyse within and between-group differences. P-values were adjusted to account for type I error. Thematic analysis of qualitative data was conducted.

RESULTS

One hundred sixty four older adults were invited to participate, of which 44.5% (n = 72) were randomised to either the TAU (n = 37) or intervention (n = 35) groups. All participants in the intervention group were given the baseline, interim and final reviews. Eight participants in each group were lost to post-intervention outcome assessment. The health service use (i.e. hospital admissions, GP/emergency calls and GP/Accident Emergency attendance) was slightly higher in the TAU group; however, none of the outcome data showed statistical significance between-group differences. The TAU group showed a deterioration in the total functional independence and its motor and cognition components post-intervention (p < .05), though the role limitation due to physical function and pain outcomes improved (p < .05). The qualitative findings indicate that participants appreciated the consistency of care provided by ANPs, experienced positive therapeutic relationship and were connected to wider services.

DISCUSSION

Frailty identification and intervention delivery in the community by ANPs were feasible. The study shows that older adults with frailty living in the community might benefit from intervention delivered by ANPs. It is suggested to examine the cost-effectiveness of the intervention in sufficiently powered future research.

TRIAL REGISTRATIONS

The protocol is available at clinicaltirals.gov, ID: NCT03394534; 09/01/2018.

Effects of a remotely supervised physical training program combined with cognitive training for older individuals at increased risk of clinical-functional vulnerability: study protocol for a randomized clinical trial

BACKGROUND

Despite the robust body of evidence for the benefits of home-based physical exercise, there is still a paucity of data on the benefits of home-based cognitive training for older adults, especially in those at increased risk of clinical-functional vulnerability. As such, the present study aims to compare the chronic effects of a telehealth-delivered physical training intervention alone or combined with a cognitive training program in older adults at increased clinical-functional vulnerability risk.

METHODS

A randomized clinical trial will be conducted including 62 sedentary older individuals classified as at increased risk of clinical-functional vulnerability based on their Clinical-Functional Vulnerability Index score. Participants will be randomly allocated in a 1:1 ratio to one of two groups, an intervention group including physical training combined with cognitive training, or an active control group including physical training alone. Both groups will receive home-based supervised training remotely for 12 weeks and will be assessed for the primary and secondary outcomes of the study before and after the training period. Primary outcomes include cognitive function and dynamic balance with a dual task. Secondary outcomes encompass physical, cognitive, and occupational performance, functional capacity, quality of life, and anxiety and depression symptoms, as well as hemodynamic measures. Data analysis will be performed by intention-to-treat and per protocol using mixed linear models and Bonferroni's post hoc (α = 0.05).

DISCUSSION

Our conceptual hypothesis is that both groups will show improvements in the primary and secondary outcomes. Nevertheless, we expect physical combined with cognitive training to improve cognitive function, dual task, and occupational performance to a greater degree as compared to physical training alone.

TRIAL REGISTRATION

NCT05309278. Registered on April 4, 2022.

The association of gait speed and self-reported difficulty walking with social isolation: A nationally-representative study

BACKGROUND

Mobility assessments are commonly used among older adults as risk stratification for falls, preoperative function, frailty, and mortality. We determined if gait speed and self-reported difficulty walking are similarly associated with social isolation and loneliness, which are key markers of social well-being and linked to health outcomes.

METHODS

We used 2015-2016 data from the National Social life Health and Aging Project (NSHAP), an in-person nationally-representative survey of 2640 community-dwelling adults ≥65 years old. We measured gait speed (timed 3-m walk: unable to walk, ≥5.7 s, and <5.7 s), and self-reported difficulty walking one block or across the room (unable, "much," "some," or "no" difficulty). Social measures included loneliness (3-item UCLA scale), social isolation (12-item scale), and individual social activities (frequency socializing, religious participation, community participation, and volunteering). We used logistic regression to determine the adjusted probability of each social measure by gait speed and difficulty walking, adjusting for sociodemographic and health characteristics, and tested for interaction terms with age.

RESULTS

Participants were on average 75 years old (SD = 7.1), 54% female, 9% Black/African American, and 6% Hispanic. Difficulty walking one block was associated with (p < 0.05): social isolation (much difficulty: 26% vs no difficulty: 18%), low socializing (33% vs 19%), low volunteering (67% vs 53%), low community participation (54% vs 43%), low religious participation (51% vs 46%), and loneliness (25% vs 14%). Difficulty walking across the room was similarly strongly associated with social isolation and individual activities. The association between self-reported difficulty walking and social isolation was stronger at older ages (p-value of interaction <0.001).

CONCLUSIONS

Self-reported mobility difficulty is a widely used clinical assessment that is strongly associated with loneliness and social isolation, particularly at older ages. Among persons with limited mobility, clinicians should consider a careful social history to identify social needs and interventions addressing mobility to enhance social connections.

Diagnostic Accuracy of Frailty Screening Instruments Validated for Use among Older Adults Attending Emergency Departments: A Systematic Review and Meta-Analysis

Early identification of frailty can prevent functional decline. Although multiple frailty screens exist for use in Emergency Departments (EDs), few are validated against diagnostic standards such as comprehensive geriatric assessment. To examine the diagnostic accuracy of ED screens for frailty, scientific databases were searched for prospective diagnostic accuracy test studies from January 2000 to September 2022. Studies were assessed for risk of bias using QUADAS-C. Psychometric properties were extracted and analysed using R. Six studies involving 1,663 participants describing seven frailty screening instruments (PRISMA-7, CFS, VIP, FRESH, BPQ, TRST, and ISAR), representing 13 unique data points, were included. The mean age of participants ranged from 76 to 86 years. The proportion that was female ranged from 45 to 60%. The pooled prevalence rate of frailty was high at 59%. The pooled estimate for sensitivity was 0.85 (95% CI: 0.76-0.91) versus 0.77 (95% CI: 0.62-0.88) for specificity. Pooled accuracy based on area under the ROC curve was 0.89 (95% CI: 0.86-0.90). Although few studies were found, limiting the ability to conduct a meta-analysis of individual instruments, available frailty screens can accurately diagnose frailty in older adults attending the ED. As specificity was comparatively low, additional assessment may be required to identify those requiring inpatient management or onward community referral. Further study is therefore required.

Diagnostic accuracy of the FRAIL scale for frailty screening in community-dwelling older adults with diabetes: A cross-sectional study

There is limited evidence on the diagnostic accuracy of the FRAIL scale in community-dwelling older adults with diabetes. This study aimed to validate the diagnostic accuracy and determine the optimal cutoff point of the FRAIL scale in community-dwelling older adults with diabetes using the Fried Frailty Phenotype as the reference standard. A total of 489 community-dwelling older adults with diabetes aged 60 or above were recruited in this cross-sectional study. The FRAIL scale showed good diagnostic accuracy for frailty screening. The optimal cutoff point for frailty screening in older adults with diabetes was 2. The agreement between the FRAIL scale and the Fried Frailty Phenotype was substantial. The FRAIL scale classified more participants as frail (29.24%) than the Fried Frailty Phenotype (22.09%). These findings provide evidence that the FRAIL scale is a valid tool that can be applied to community-dwelling older adults with diabetes.

Medium and long-term prognosis in hospitalised older adults with multimorbidity. A prospective cohort study

BACKGROUND

Data about long-term prognosis after hospitalisation of elderly multimorbid patients remains scarce.

OBJECTIVES

Evaluate medium and long-term prognosis in hospitalised patients older than 75 years of age with multimorbidity. Explore the impact of gender, age, frailty, physical dependence, and chronic diseases on mortality over a seven-year period.

METHODS

We included prospectively all patients hospitalised for medical reasons over 75 years of age with two or more chronic illnesses in a specialised ward. Data on chronic diseases were collected using the Charlson comorbidity index and a questionnaire for disorders not included in this index. Demographic characteristics, Clinical Frailty Scale, Barthel index, and complications during hospitalisation were collected.

RESULTS

514 patients (46% males) with a mean age of 85 (± 5) years were included. The median follow-up was 755 days (interquartile range 25-75%: 76-1,342). Mortality ranged from 44% to 68%, 82% and 91% at one, three, five, and seven years. At inclusion, men were slightly younger and with lower levels of physical impairment. Nevertheless, in the multivariate analysis, men had higher mortality (p<0.001; H.R.:1.43; 95% C.I.95%:1.16-1.75). Age, Clinical Frailty Scale, Barthel, and Charlson indexes were significant predictors in the univariate and multivariate analysis (all p<0.001). Dementia and neoplastic diseases were statistically significant in the unadjusted but not the adjusted model. In a cluster analysis, three patterns of patients were identified, with increasing significant mortality differences between them (p<0.001; H.R.:1.67; 95% CI: 1.49-1.88).

CONCLUSIONS

In our cohort, individual diseases had a limited predictive prognostic capacity, while the combination of chronic illness, frailty, and physical dependence were independent predictors of survival.

Rehabilitation for People with Respiratory Disease and Frailty: An Official American Thoracic Society Workshop Report

People with respiratory disease have increased risk of developing frailty, which is associated with worse health outcomes. There is growing evidence of the role of rehabilitation in managing frailty in people with respiratory disease. However, several challenges remain regarding optimal methods of identifying frailty and delivering rehabilitation for this population. The aims of this American Thoracic Society workshop were to outline key definitions and concepts around rehabilitation for people with respiratory disease and frailty, synthesize available evidence, and explore how programs may be adapted to align to the needs and experiences of this population. Across two half-day virtual workshops, 20 professionals from diverse disciplines, professions, and countries discussed key developments and identified opportunities for future research, with additional input via online correspondence. Participants highlighted a "frailty rehabilitation paradox" whereby pulmonary rehabilitation can effectively reduce frailty, but programs are challenging for some individuals with frailty to complete. Frailty should not limit access to rehabilitation; instead, the identification of frailty should prompt comprehensive assessment and tailored support, including onward referral for additional specialist input. Exercise prescriptions that explicitly consider symptom burden and comorbidities, integration of additional geriatric or palliative care expertise, and/or preemptive planning for disruptions to participation may support engagement and outcomes. To identify and measure frailty in people with respiratory disease, tools should be selected on the basis of sensitivity, specificity, responsiveness, and feasibility for their intended purpose. Research is required to expand understanding beyond the physical dimensions of frailty and to explore the merits and limitations of telerehabilitation or home-based pulmonary rehabilitation for people with chronic respiratory disease and frailty.

Association between physical performance during sit-to-stand motion and frailty in older adults with cardiometabolic diseases: a cross-sectional, longitudinal study

BACKGROUND

Although physical performance tests of the lower extremities are used to assess sarcopenia and frailty, little is known about the mechanisms by which the parameters of ground reaction force (GRF) measured during sit-to-stand motion affect the frailty status in older adults. We aimed to examine the association between GRF parameters during sit-to-stand motion and the incidence of frailty in older adults.

METHODS

This longitudinal study evaluated 319 outpatients aged ≥ 65 years with cardiometabolic diseases. The GRF parameters were measured using a motor function analyzer, in which the power, speed, and balance scores were calculated. Frailty was diagnosed using the modified version of the Cardiovascular Health Study (mCHS) and the Kihon Checklist (KCL). The independent associations between scores and frailty indices were assessed using multivariate binomial logistic regression analyses. Cox regression analysis was used to examine whether power and speed scores were associated with the incidence of frailty after adjusting for covariates.

RESULTS

Logistic regression analyses adjusted for covariates showed that the power and speed scores were associated with frailty according to the mCHS criteria (power: OR = 0.37, 95% CI = 0.22-0.63; speed: OR = 0.64, 95% CI = 0.52-0.79) and KCL criteria (power: OR = 0.40, 95% CI = 0.26-0.62; speed: OR = 0.81, 95% CI = 0.69-0.96) at baseline. Receiver operating characteristic analyses revealed that the area under the curve values of power and speed scores for discriminating mCHS-defined frailty were 0.72 and 0.73. The Cox regression analysis showed that the speed score predicted the incidence of mCHS-defined (HR = 0.45, 95% CI = 0.22-0.92, P = 0.029) and KCL-defined (HR = 0.77, 95% CI = 0.60-0.99, P = 0.039) frailty, whereas the power score was associated with the incidence of KCL-defined frailty (HR = 0.72, 95% CI = 0.55-0.95, P = 0.02) after adjusting for covariates.

CONCLUSIONS

The speed and power scores measured during sit-to-stand motion are predictive of frailty in older adults with cardiometabolic disease. Therefore, the GRF parameters measured during sit-to-stand motion could be an important indicator of frailty. Further studies are necessary to examine whether the GRF parameters can be improved by exercise or whether the changes in these parameters are associated with the improvement of frailty status.

Using electronic consultation (eConsult) to identify frailty in provider-to-provider communication: a feasibility and validation study

BACKGROUND

Frailty is a complex age-related clinical condition that increases vulnerability to stressors. Early recognition of frailty is challenging. While primary care providers (PCPs) serve as the first point of contact for most older adults, convenient tools for identifying frailty in primary care are lacking. Electronic consultation (eConsult), a platform connecting PCPs to specialists, is a rich source of provider-to-provider communication data. Text-based patient descriptions on eConsult may provide opportunities for earlier identification of frailty. We sought to explore the feasibility and validity of identifying frailty status using eConsult data.

METHODS

eConsult cases closed in 2019 and submitted on behalf of long-term care (LTC) residents or community-dwelling older adults were sampled. A list of frailty-related terms was compiled through a review of the literature and consultation with experts. To identify frailty, eConsult text was parsed to measure the frequency of frailty-related terms. Feasibility of this approach was assessed by examining the availability of frailty-related terms in eConsult communication logs, and by asking clinicians to indicate whether they can assess likelihood of frailty by reviewing the cases. Construct validity was assessed by comparing the number of frailty-related terms in cases about LTC residents with those about community-dwelling older adults. Criterion validity was assessed by comparing clinicians' ratings of frailty to the frequency of frailty-related terms.

RESULTS

One hundred thirteen LTC and 112 community cases were included. Frailty-related terms identified per case averaged 4.55 ± 3.95 in LTC and 1.96 ± 2.68 in the community (p < .001). Clinicians consistently rated cases with ≥ 5 frailty-related terms as highly likely of living with frailty.

CONCLUSIONS

The availability of frailty-related terms establishes the feasibility of using provider-to-provider communication on eConsult to identify patients with high likelihood of living with this condition. The higher average of frailty-related terms in LTC (versus community) cases, and agreement between clinician-provided frailty ratings and the frequency of frailty-related terms, support the validity of an eConsult-based approach to identifying frailty. There is potential for eConsult to be used as a case-finding tool in primary care for early recognition and proactive initiation of care processes for older patients living with frailty.

Re-examination of successful agers with lower biological than chronological age still after a 20-year follow-up period

BACKGROUND

Successful ageing is the term often used for depicting exceptional ageing but a uniform definition is lacking. The aim was to re-examine and describe the successful agers living at home at the age of 84 years or over after a 20-year follow-up. The purpose was also to identify possible factors leading to their successful ageing.

METHODS

Successful ageing was defined as the ability to live at home without daily care. Data on the participants' functional ability, objective health, self-rated health and satisfaction with life were gathered at baseline and after a 20-year follow-up period. A measurement of personal biological age (PBA) was established and the difference between the PBA and the chronological age (CA) was counted.

RESULTS

The participants' mean age was 87.6 years (Standard deviation 2.5, range 84-96). All analyzed variables depicted poorer physical ability and subjective health at re-examination than at baseline. Still, 99% of the participants were at least moderately satisfied with their lives. The PBA at baseline was 6.5 years younger than CA, and at re-examination, the difference was even more pronounced at 10.5 years.

DISCUSSION

Even though the participants were chronologically older, had poorer physical ability and subjective health, they were still satisfied with their lives indicating possible psychological resilience. The difference between the PBA and CA was greater at re-examination than at baseline indicating that they were also biologically successful agers.

CONCLUSIONS

Successful agers were satisfied with life despite hardships and had a lower biological than chronological age. Further research is needed to evaluate causality.

Agreement and prognostic accuracy of three ED vulnerability screeners: findings from a prospective multi-site cohort study

OBJECTIVES

To evaluate the agreement between three emergency department (ED) vulnerability screeners, including the InterRAI ED Screener, ER2, and PRISMA-7. Our secondary objective was to evaluate the discriminative accuracy of screeners in predicting discharge home and extended ED lengths-of-stay (> 24 h).

METHODS

We conducted a nested sub-group study using data from a prospective multi-site cohort study evaluating frailty in older ED patients presenting to four Quebec hospitals. Research nurses assessed patients consecutively with the three screeners. We employed Cohen's Kappa to determine agreement, with high-risk cut-offs of three and four for the PRISMA-7, six for the ER2, and five for the interRAI ED Screener. We used logistic regression to evaluate the discriminative accuracy of instruments, testing them in their dichotomous, full, and adjusted forms (adjusting for age, sex, and hospital academic status).

RESULTS

We evaluated 1855 older ED patients across the four hospital sites. The mean age of our sample was 84 years. Agreement between the interRAI ED Screener and the ER2 was fair (K = 0.37; 95% CI 0.33-0.40); agreement between the PRISMA-7 and ER2 was also fair (K = 0.39; 95% CI = 0.36-0.43). Agreement between interRAI ED Screener and PRISMA-7 was poor (K = 0.19; 95% CI 0.16-0.22). Using a cut-off of four for PRISMA-7 improved agreement with the ER2 (K = 0.55; 95% CI 0.51-0.59) and the ED Screener (K = 0.32; 95% CI 0.2-0.36). When predicting discharge home, the concordance statistics among models were similar in their dichotomous (c = 0.57-0.61), full (c = 0.61-0.64), and adjusted forms (c = 0.63-0.65), and poor for all models when predicting extended length-of-stay.

CONCLUSION

ED vulnerability scores from the three instruments had a fair agreement and were associated with important patient outcomes. The interRAI ED Screener best identifies older ED patients at greatest risk, while the PRISMA-7 and ER2 are more sensitive instruments.

Exploring the factors associated with decreased dynamic balance ability in older patients with heart failure

BACKGROUND

Older patients with heart failure (HF) have a higher prevalence of frailty and poorer dynamic balance ability than other community-dwelling older adults. However, the association of frailty and other clinical characteristics with dynamic balance ability in these patients remains unclear.

OBJECTIVES

We aimed to determine the clinical characteristics associated with decreased dynamic balance ability in older patients with HF.

METHODS

This observational study included patients aged ≥65 years who could walk independently and were admitted to our university hospitals to undergo a cardiac rehabilitation. The timed up and go test (TUG) was used to evaluate dynamic balance ability. Pearson's and Spearman's correlation analyses were performed to determine the relationships between TUG scores and clinical characteristics. A multiple regression model based on the forced entry method was used to determine independent predictors of TUG scores.

RESULTS

Of the 183 participants in this study (94 women; mean age, 82.5 ± 8.1 years), 116 (61.7%) had frailty. Pearson's and Spearman's correlation analyses revealed that age, frailty, sex, knee extensor muscle strength, maximum calf circumference, and Mini-Mental State Examination-Japanese version (MMSE-J) score were significantly correlated with TUG score (p < 0.001). Further, multiple regression analysis showed that age (p < 0.001), frailty (p = 0.041), knee extensor muscle strength (p = 0.002), and MMSE-J score (p = 0.048) were independent predictors of TUG scores.

CONCLUSION

Multiple factors, including age, frailty, knee extensor muscle weakness, and cognitive function impairment are independently associated with decreased dynamic balance ability in older patients with HF.

Frailty assessment tools and associated postoperative outcomes in older patients undergoing elective surgery: A prospective pilot study

BACKGROUND

There is a need for a feasible tool to assess the risk of frailty prior to surgery. We aimed to identify the ratio of abnormal results for three clinically applicable screening tools to assess the risk of frailty, and their association with adverse outcomes in a cohort of elderly surgical patients.

METHODS

In this prospective pilot study, patients ≥65 years undergoing preoperative evaluation for elective surgery were included and subjected to three frailty screening tests; Program of Research to Integrate Services for the Maintenance of Autonomy 7-item questionnaire (PRISMA7), Timed Up and Go (TUG), and Clock Drawing Test (CDT). The primary outcome was the incidence of abnormal testing, and secondary outcomes were the association between abnormal tests and mortality, readmission, delirium, surgical complications and non-home discharge.

RESULTS

Out of 99 patients, 41%, 37%, and 43% had abnormal PRISMA7, TUG, and CDT screening, respectively. Postoperative delirium was more likely to occur in patients with abnormal TUG screening (19% vs. 3%, p = .011) and CDT (17% vs. 2%, p = .019). When analyzing screening tool combinations, patients with abnormal PRISMA7 and TUG had a higher rate of non-home discharge (38% vs. 17%, p = .029); and patients with abnormal TUG and CDT had a higher rate of postoperative delirium (25% vs. 3%, p = .006) and any surgical complication (58% vs. 38%, p = .037); and patients with abnormal results from all three tools had a higher rate of postoperative delirium (21% vs. 5%, p = .045) and non-home discharge (42% vs. 18%, p = .034).

CONCLUSION

Approximately 40% of elderly surgical patients have abnormal PRISMA7, TUG, and CDT screening tests for frailty, and they are associated individually or in combination with increased risk of adverse postoperative outcomes. The results will aid in designing studies to further risk-stratify patients at risk of frailty and attempt to modify associated outcomes.

Preoperative frailty assessment in older patients with colorectal cancer: use of clinical and radiological tool

PURPOSE

The Memorial Sloan Kattering Frailty Index (MSK-FI) and the Skeletal Muscle Index (SMI) have recently gained attention as markers of frailty and decreased physiologic reserve, and are promising as predictors of adverse postoperative outcomes in patients undergoing oncologic surgery. The objective of this study was to establish the prognostic accuracy of these indexes in a cohort of patients with colorectal cancer subjected to surgical intervention.

METHODS

We performed an observational study including all patients older than 60 years, subjected to colorectal cancer surgery between January 2010 and May 2020, and stratified our cohort based on the presence of frailty, as defined by MSK-FI ≥ 3. Computed tomography was used to calculate SMI, using a standardized institutional protocol. A multivariable analysis was used to study the association between these novel indexes with adverse postoperative outcomes in our cohort.

RESULTS

A total of 216 patients were included. Among these, 56 (26%) qualified as frail and 132 (62%) had a low SMI. On multivariable analysis (adjusted by patient and intraoperative characteristics), frailty was associated with increased risk of having a major postoperative complication (OR 29.78, 95%CI 10.36-85.71) and increased admission to the intensive care unit (OR 4.99, 95%CI 1.55-16.06), while both frailty and low SMI were associated with prolonged length of stay (OR 11.22, 95%CI 8.91-13.53 and OR 0.14, 95% CI 0.06-0.20, respectively).

CONCLUSION

MSK-FI ≥ 3 and low SMI are associated with adverse postoperative outcomes in elderly patients undergoing colorectal cancer surgery. Implementing this practical tool in routine clinical practice, may help identify patients that would benefit from surgical prehabilitation and preoperative optimization to improve outcomes.

Factors associated with fall risk of community-dwelling older people: A decision tree analysis

Objective

To examine the predictive attributes for accidental falls in community-dwelling older people in Hong Kong using decision tree analysis.

Methods

We recruited 1151 participants with an average age of 74.8 years by convenience sampling from a primary healthcare setting to carry out the cross-sectional study over 6 months. The whole dataset was divided into two sets, namely training set and test set, which respectively occupied 70% and 30% of the whole dataset. The training dataset was used first; decision tree analysis was used to identify possible stratifying variables that could help to generate separate decision models.

Results

The number of fallers was 230 with 20% 1-year prevalence. There were significant differences in gender, use of walking aids, presence of chronic diseases, and co-morbidities including osteoporosis, depression, and previous upper limb fractures, and performance in the Timed Up and Go test and the Functional Reach test among the baselines between the faller and non-faller groups. Three decision tree models for the dependent dichotomous variables (fallers, indoor fallers, and outdoor fallers) were generated, with overall accuracy rates of the models of 77.40%, 89.44% and 85.76%, respectively. Timed Up and Go, Functional Reach, body mass index, high blood pressure, osteoporosis, and number of drugs taken were identified as stratifying variables in the decision tree models for fall screening.

Conclusion

The use of decision tree analysis for clinical algorithms for accidental falls in community-dwelling older people creates patterns for decision-making in fall screening, which also paves the way for utility-based decision-making using supervised machine learning in fall risk detection.

Frailty-Diagnostik in verschiedenen AINS-Settings

Das Vorliegen eines sog. Frailty-Syndroms („Gebrechlichkeit“) ist für den postoperativen Verlauf ein entscheidender Faktor. So kommt es, auch durch eine zunehmende Fokussierung auf die patientenzentrierte Versorgung, zu einer erhöhten Nachfrage nach Instrumenten, die den Patient*innenstatus umfassender beurteilen und Krankheitsverläufe vorhersagen können. Der Beitrag stellt die 3 führenden Modelle zur Frailty-Diagnostik vor.

Random forest algorithms to classify frailty and falling history in seniors using plantar pressure measurement insoles: a large-scale feasibility study

BACKGROUND

Frailty and falls are two adverse characteristics of aging that impair the quality of life of senior people and increase the burden on the healthcare system. Various methods exist to evaluate frailty, but none of them are considered the gold standard. Technological methods have also been proposed to assess the risk of falling in seniors. This study aims to propose an objective method for complementing existing methods used to identify the frail state and risk of falling in older adults.

METHOD

A total of 712 subjects (age: 71.3 ± 8.2 years, including 505 women and 207 men) were recruited from two Japanese cities. Two hundred and three people were classified as frail according to the Kihon Checklist. One hundred and forty-two people presented with a history of falling during the previous 12 months. The subjects performed a 45 s standing balance test and a 20 m round walking trial. The plantar pressure data were collected using a 7-sensor insole. One hundred and eighty-four data features were extracted. Automatic learning random forest algorithms were used to build the frailty and faller classifiers. The discrimination capabilities of the features in the classification models were explored.

RESULTS

The overall balanced accuracy for the recognition of frail subjects was 0.75 ± 0.04 (F1-score: 0.77 ± 0.03). One sub-analysis using data collected for men aged > 65 years only revealed accuracies as high as 0.78 ± 0.07 (F1-score: 0.79 ± 0.05). The overall balanced accuracy for classifying subjects with a recent history of falling was 0.57 ± 0.05 (F1-score: 0.62 ± 0.04). The classification of subjects relative to their frailty state primarily relied on features extracted from the plantar pressure series collected during the walking test.

CONCLUSION

In the future, plantar pressures measured with smart insoles inserted in the shoes of senior people may be used to evaluate aspects of frailty related to the physical dimension (e.g., gait and balance alterations), thus allowing assisting clinicians in the early identification of frail individuals.

Frailty and cognitive impairment in Parkinson’s disease: a systematic review

BACKGROUND

Frailty can lead to increased vulnerability in older people and patients with Parkinson's disease (pwPD) and worsen their health conditions. These patients can also develop cognitive function impairment. The objective is to analyze whether there is a relationship between frailty and cognitive impairment in pwPD, and to find out which instruments to use for its evaluation.

METHODS

Publications were searched in PubMed, Medline, Web of Science, Cinalh, Cochrane Library, Embase, Phycinfo, and Scopus. The results were measured with the instruments that are used to assess frailty and cognitive impairment, and analyze their relationship.

RESULTS

Two hundred seventy-one articles were identified, of which 12 met the inclusion criteria. All studies assessed frailty and cognitive function in pwPD. Five studies analyzed the relationship between frailty and cognitive impairment. The most used instruments were the Fried scale followed by the Clinical Frailty Scale (CFS) for frailty. Cognitive impairment was mostly evaluated with the Mini-Mental State Examination and the Montreal Cognitive Assessment. The prevalence data ranged from 20.2 to 51.5% with the Fried scale and from 35.6 to 83.9% with the CFS. Cognitive impairment was present in 15 to 45.2% of the pwPD.

CONCLUSION

Analysis of the included studies shows a relationship between frailty and cognitive impairment in pwPD. There was significant variability in the application of the scales used, which influences the prevalence data. More observational and experimental studies are needed to provide more evidence on this association and to determine which is the optimal tool to identify frailty in pwPD using multidimensional scales.

Frailty syndrome and risks for falling in the elderly community

PURPOSE

To identify the prevalence of Frailty Syndrome in the elderly and the relationship with risk of falling.

METHODS

Descriptive, cross-sectional, and analytical clinical study. One hundred and one volunteers over 60 years old were submitted to audiological evaluation, Dynamic Gait Index - Brazilian brief (DGI), Timed Up and Go (TUG) and Edmonton Fragility Scale (EFE) that verified, respectively, hearing thresholds, frailty syndrome, functional and dynamic balance, and risk of falling. The simple percentual distribution, the Wilcoxon´s test and the Bivariate Correlation with Pearson's coefficient were used for statistical analysis. Limits equal to or less than 1.0 and 5.0% were adopted.

RESULTS

EFE identified 22.8% of volunteers as fragile and 22.8% as vulnerable. DGI and TUG found 34.6% and 84.1% of at risk for falls, respectively. Significant correlations between EFE and DGI (p <0.01), EFE and TUG (p <0.01), and DGI and TUG (p <0.01) were observed. Pearson's coefficient between EFE and DGI, EFE and TUG, and DGI and TUG were -0.26, -0.41, and 0.46, respectively. An association between DGI and TUG and age (p <0.01) was identified. No correlation between EFE and sex or age was found.

CONCLUSION

Frailty and pre-frailty were identified in a significant segment of the volunteers, especially in the oldest subjects. Functional and dynamic balance were moderately correlated with frailty, which demonstrated that frailty syndrome increases the risk of falls.

Physical performance measures in frailty screening: diagnostic and prognostic accuracy in the Toledo Study of Healthy Ageing

INTRODUCTION

The present study aimed to explore the diagnostic and prognostic accuracy of standard and population-specific Physical Performance Measures (PPMs) cut-off points for frailty screening.

DESIGN

Prospective cohort study.

SETTING AND PARTICIPANTS

Population-based study including 2328 subjects from the Toledo Study of Healthy Aging (age = 76.37 ± 6.78). Data related to frailty status and PPMs was collected at baseline visit (2011-2013). Mortality and hospitalization were ascertained up to March 2019 and December 2017, respectively, whereas disability onset and worsening were evaluated in the 2015-2017 visit.

METHODS

Gait speed and Short Physical Performance Battery population-specific cut-off points for frailty were computed using receiver operating characteristics (ROC) curve analysis. Head-to-head comparison of associations with adverse events against existing reference values (SPPB≤6, GS < 0.8 m/s) and classical (Frailty Phenotype, Frailty Index) and newly incorporated frailty tools (12- and 5-item Frailty Trait Scale) were explored through logistic and Cox regressions. Predictive ability was compared through areas under the curves (AUCs) for disability onset/worsening and integrated AUCs for mortality and hospitalization (time-censoring adverse events).

RESULTS

PPMs population-specific cut-off points (SPPB ≤7 and GS ≤ 0.75 m/s for males; SPPB ≤4 and GS ≤ 0.5 for females) outperformed published reference thresholds in terms of diagnostic accuracy. Frailty identified through PPMs was associated with adverse events (death, hospitalization and incident disability) similarly to that assessed using the newly incorporated tools and showed similar prognostic accuracy (mortality [IAUCs≈0.7], hospitalization [IAUCs≈0.8] and disability onset/worsening [AUCs≈0.62]), except for the tool used to assess frailty.

CONCLUSIONS

Our results suggest that PPMs might serve as the first screen to identify candidates for further frailty assessment and exploration of underlying mechanisms, allowing opportunistic on-time screening in different settings (community and primary care) in which frailty instruments are rarely implementable.

The Timed Up and Go test predicts frailty in patients with COPD

The Timed Up and Go (TUG) is a global measure of mobility and has the ability to detect frail individuals. Frail patients with chronic obstructive pulmonary disease (COPD) are usually undiagnosed. We hypothesised that the TUG would identify frail patients with COPD. Frailty was assessed in 520 patients diagnosed with COPD and 150 controls using a Comprehensive Geriatric Assessment questionnaire and frailty index (FI) was derived. The TUG was used to assess physical mobility. All participants were assessed for lung function and body composition. A ROC curve was used to identify how well TUG discriminates between frail and non-frail patients with COPD. The patients with COPD and controls were similar in age, sex and BMI but the patients with COPD were more frail, mean ± SD FI 0.16 ± 0.08 than controls 0.05 ± 0.03, P < 0.001. Frail patients with COPD had a greater TUG time (11.55 ± 4.03 s) compared to non-frail patients (9.2 ± 1.6 sec), after controlling for age and lung function (F = 15.94, P < 0.001), and both were greater than the controls (8.3 ± 1.2 sec), P < 0.001. The TUG discriminated between frail and non-frail patients with COPD with an area under the curve of 72 (95% CI: 67–76), and a diagnostic odds ratio of 2.67 (95% CI:1.5–4.6), P < 0.001. The TUG showed the ability to discriminate between frail and non-frail patients with COPD, independent of age and severity of the airflow obstruction. The TUG is a simple, easy and quick measure that could be easily applied in restricted settings to screen for frailty in COPD.

Perspectives of older adults, caregivers, healthcare providers on frailty screening in primary care: a systematic review and qualitative meta-synthesis

Background

Screening is often recommended as a first step in frailty management. Many guidelines call to implicate frailty screening into practice in the primary care setting. However, few countries or organizations implement it. Understanding and clarifying the stakeholders’ views and issues faced by the implementation is essential to the successful implementation of frailty screening. However, the systematic review on stakeholders’ views of frailty screening in primary care is decidedly limited. Our objective was to explore the perspective of older adults, caregivers, and healthcare providers on frailty screening and determine the enablers and barriers to implementing frailty screening in primary care.

Methods

A systematic search of six databases and other resources was conducted following JBI’s three-step search strategy. The search resulted in 7362 articles, of which 97 were identified for further assessment according to the inclusion criteria. After the full-text screening, quality assessment and data extraction were carried out using the tools from Joanna Briggs Institute (JBI). Moreover, reviewers used the approach of meta-aggregative of JBI to analyze data and synthesis the findings.

Results

Six studies were included. A total of 63 findings were aggregated into 12 categories and then further grouped into three synthesized findings:1) capacity of healthcare providers and older adults; 2) opportunity in the implementation of frailty screening; 3) motivation in the implementation of frailty screening. These themes can help identify what influences the implementation of screening from the perspective of stakeholders.

Conclusions

This meta-synthesis provides evidence on the barriers and enablers of frailty screening in primary care, from the aspects of psychological, physical, social, material, etc. However, stakeholder perspectives of frailty screening have not been adequately studied. More research and efforts are needed to explore the influencing factors and address the existing barriers.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03173-6.

Anticipatory care planning for community-dwelling older adults at risk of functional decline: a feasibility cluster randomized controlled trial

Objectives

To determine the feasibility, implementation and outcomes of an Anticipatory Care Planning (ACP) intervention in primary care to assist older adults at risk of functional decline by developing a personalized support plan.

Design

Feasibility cluster randomized control trial.

Setting and participants

Eight primary care practices (four in Northern Ireland, United Kingdom and four in the Republic of Ireland) were randomly assigned to either intervention or control arm. Eligible patients were those identified in each practice as 70 years of age or older and assessed as at risk of functional decline. Study participants (intervention n = 34, control n = 31) and research staff were not blinded to group assignment.

Anticipatory care intervention

The intervention delivered by a registered nurse including: a) a home-based patient assessment; b) care planning on the basis of a holistic patient assessment, and c) documentation of a support plan.

Outcome measures

A conceptual framework (RE-AIM) guided the assessment on the potential impact of the ACP intervention on patient quality of life, mental health, healthcare utilisation, costs, perception of person-centred care, and reduction of potentially inappropriate prescribing. Data were collected at baseline and at 10 weeks and six months following delivery of the intervention.

Results

All pre-specified feasibility indicators were met. Patients were unanimous in the acceptance of the ACP intervention. Health care providers viewed the ACP intervention as feasible to implement in routine clinical practice with attending community supports. While there were no significant differences on the primary outcomes (EQ-5D-5L: -0.07 (-0.17, 0.04) p = .180; CES-D: 1.2 (-2.5, 4.8) p = .468) and most secondary measures, ancillary analysis on social support showed responsiveness to the intervention. Incremental cost analysis revealed a mean reduction in costs of €320 per patient (95% CI -31 to 25; p = 0.82) for intervention relative to the control.

Conclusions

We successfully tested the ACP intervention in primary care settings and have shown that it is feasible to implement. The ACP intervention deserves further testing in a definitive trial to determine whether its implementation would lead to better outcomes or reduced costs.

Trial registration

Clinicaltrials.gov, ID: NCT03902743. Registered on 4 April 2019.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03128-x.

New horizons in evidence-based care for older people: individual participant data meta-analysis

Evidence-based decisions on clinical and cost-effectiveness of interventions are ideally informed by meta-analyses of intervention trial data. However, when undertaken, such meta-analyses in ageing research have typically been conducted using standard methods whereby summary (aggregate) data are extracted from published trial reports. Although meta-analysis of aggregate data can provide useful insights into the average effect of interventions within a selected trial population, it has limitations regarding robust conclusions on which subgroups of people stand to gain the greatest benefit from an intervention or are at risk of experiencing harm. Future evidence synthesis using individual participant data from ageing research trials for meta-analysis could transform understanding of the effectiveness of interventions for older people, supporting evidence-based and sustainable commissioning. A major advantage of individual participant data meta-analysis (IPDMA) is that it enables examination of characteristics that predict treatment effects, such as frailty, disability, cognitive impairment, ethnicity, gender and other wider determinants of health. Key challenges of IPDMA relate to the complexity and resources needed for obtaining, managing and preparing datasets, requiring a meticulous approach involving experienced researchers, frequently with expertise in designing and analysing clinical trials. In anticipation of future IPDMA work in ageing research, we are establishing an international Ageing Research Trialists collective, to bring together trialists with a common focus on transforming care for older people as a shared ambition across nations.

[Frailty syndrome as an independent predictor of adverse prognosis in patients with chronic heart failure]

This review presents results of clinical studies of senile asthenia ("fragility") syndrome and chronic heart failure (CHF). Recent reports of the "fragility" prevalence in patients with CHF are described. The review presents specific features of pathophysiological pathways underlying the development of both senile asthenia syndrome and CHF; the role of "fragility" in the progression and complications of CHF is addressed. Senile asthenia syndrome associated with CHF is regarded as an independent predictor of unfavorable prognosis and high mortality in this patient category. The authors concluded that methods for "fragility" evaluation in CHF patients followed by risk stratification and selection of individual management tactics should be implemented in clinical practice.