Fried Frailty Phenotype Research Articles

Comparison of the association between six different frailty scales and clinical events in patients on hemodialysis.

Frailty is associated with adverse outcomes in patients undergoing hemodialysis (HD). However, no study has used various frailty assessments in patients on HD to examine their association with clinical events. In this study, we investigated the association between clinical events and six frailty scales. Outpatients who underwent HD between 2018 and 2020 were retrospectively enrolled. Frailty was defined using the Fried Frailty Phenotype, Study of Osteoporotic Fractures (SOF) Index, Short Physical Performance Battery (SPPB), Frail Screening Index, FRAIL scale and Clinical Frailty Scale. Outcomes were clinical events, including a composite of multiple (i.e. recurrent) all-cause hospitalizations, fractures and/or all-cause mortality. The association of clinical events and the frailty scales were investigated using negative binomial regression analysis. Fried Frailty Phenotype [incident rate ratio (IRR), 1.62; 95% confidence interval (CI), 1.49-1.76], SOF Index (IRR, 1.42; 95% CI, 1.10-1.83), SPPB (IRR, 1.79; 95% CI, 1.11-2.88) and Clinical Frailty Scale (IRR, 1.65; 95% CI, 1.04-2.61) were significantly associated with clinical events. However, Frail Screening Index (IRR, 1.38; 95% CI, 0.60-3.18) and FRAIL scale (IRR, 1.30; 95% CI, 0.88-1.92) showed no significant association with clinical events. Objective frailty assessments (SPPB) and medical staff impression-based frailty (Clinical Frailty Scale) may be useful prognostic predictors for patients on HD. Questionnaire-based frailty assessment should be carefully considered when used as a measurement of frailty.

The association between heart rate behavior and gait performance: The moderating effect of frailty.

IntroductionResearch suggests that frailty not only influence individual systems, but also it affects the interconnection between them. However, no study exists to show how the interplay between cardiovascular and motor performance is compromised with frailty.AimTo investigate the effect of frailty on the association between heart rate (HR) dynamics and gait performance.MethodsEighty-five older adults (≥65 years and able to walk 9.14 meters) were recruited (October 2016—March 2018) and categorized into 26 non-frail (age = 78.65±7.46 years) and 59 pre-frail/frail individuals (age = 81.01±8.17) based on the Fried frailty phenotype. Participants performed gait tasks while equipped with a wearable electrocardiogram (ECG) sensor attached to the chest, as well as wearable gyroscopes for gait assessment. HR dynamic parameters were extracted, including time to peak HR and percentage increase in HR in response to walking. Using the gyroscope sensors gait parameters were recorded including stride length, stride velocity, mean swing velocity, and double support.ResultsAmong the pre-frail/frail group, time to peak HR was significantly correlated with all gait parameters (p<0.0001, r = 0.51–0.59); however, for the non-frail group, none of the correlations between HR dynamics and gait performance parameters were significant (p>0.45, r = 0.03–0.15). The moderation analysis of time to peak HR, demonstrated a significant interaction effect of HR dynamics and frailty status on walking velocity (p<0.01), and the interaction effect was marginally non-significant for other gait parameters (p>0.10).ConclusionsCurrent findings, for the first time, suggest that a compromised motor and cardiac autonomic interaction exist among pre-frail/frail older adults; an impaired HR performance (i.e., slower increase of HR in response to stressors) may lead to a slower walking performance. Assessing physical performance and its corresponding HR behavior should be studied as a tool for frailty screening and providing insights about the underlying cardiovascular-related mechanism leading to physical frailty.

Development of GERAS DANcing for Cognition and Exercise (DANCE): a feasibility study

BackgroundDance is a mind-body activity of purposeful rhythmic movement to music. There is growing interest in using dance as a form of cognitive and physical rehabilitation. This manuscript describes the development of GERAS DANcing for Cognition and Exercise (DANCE) and evaluates its feasibility in older adults with cognitive and mobility impairments.MethodsThe progressive dance curricula were delivered for 15 weeks (1-h class; twice weekly). Participants were eligible if they were community-dwelling older adults aged 60+ with early cognitive or mobility impairment able to follow three-step commands and move independently. Feasibility outcomes included recruitment/retention, adherence, participant satisfaction, safety, and adverse events.ResultsTwenty-five older adults (mean (standard deviation [SD]) age = 77.55 (6.10) years, range 68–90 years) with early cognitive (Montreal Cognitive Assessment score (SD) = 21.77 (4.05)) and mobility (92% were pre-frail/frail as indicated on the Fried Frailty Phenotype) impairments were recruited from a geriatric out-patient clinic or within the community. A total of 20/25 (80%) participants completed the study. Average class attendance was 72%, and self-reported homework adherence “most-days / every day” was 89%. A stepwise progression in the dance curricula was observed with increases in motor complexity and balance demands, and 95% of participants rated the program as a “just-right” challenge. Ninety percent of participants rated GERAS DANCE as excellent, and 100% would recommend the program to a friend or family member. Over 50% of participants connected outside of class time for a self-initiated coffee club. Adverse events of falls and fractures were reported for 2 participants, which occurred at home unrelated to the dance intervention during the study period. Pre-determined thresholds for feasibility were met for all outcomes.DiscussionGERAS DANCE is a feasible and enjoyable program for older adults with early cognitive or mobility impairments. GERAS DANCE curriculum grading (duration; sequence; instructions) and motor complexity increases in agility, balance, and coordination appear appropriately tailored for this population. Future work will explore the feasibility of GERAS DANCE in new settings (i.e., virtually online, community centers, or retirement homes) and the mind-body-social benefits of dance.

Serum Sestrin-1 Concentration Is Higher in Frail than Non-Frail Older People Living in Nursing Homes.

Given the increasing prevalence of frailty and its implications for public health, the identification of biomarkers to detect frailty is essential. Sestrin-1 is a protein with a protective role in muscle function. This study aimed to determine whether the serum sestrin-1 concentration differed between frail and non-frail populations and to investigate its association with frailty-related variables in 225 older women and men living in nursing homes (Gipuzkoa, Spain). Serum sestrin-1 concentration was measured by ELISA. Frailty, dependence, anthropometry, physical function, and physical activity were determined by validated tests and tools. The associations between sestrin-1 concentration and the other variables were determined using generalized linear models. The differences between frail and non-frail individuals were analyzed by the Mann–Whitney U-test, and receiver operating characteristic (ROC) curves were constructed to calculate the capability of sestrin-1 to detect frailty. Unexpectedly, frail individuals—according to the Fried Frailty Phenotype or the Clinical Frailty Scale—had higher serum sestrin-1 concentrations than non-frail individuals. Furthermore, the higher serum sestrin-1 concentration was associated with the increased frailty scores and dependence as well as the poorer physical function and the less physical activity. Given the contradictory results regarding serum sestrin-1 and frailty, further investigation is required to propose it as a molecular biomarker of frailty.

Four different frailty models predict health outcomes in older patients with stable chronic obstructive pulmonary disease

BackgroundFrail patients with chronic obstructive pulmonary disease (COPD) face a higher risk of adverse outcomes, but there is no clear consensus on which frailty measures are most suitable for COPD patients. Herein we evaluated the ability of frailty measurements in predicting 1-year acute exacerbation, hospitalization, and mortality in older patients with COPD.MethodsA total of 302 patients [median age: 86 years (IQR: 80–90), 22.2% female] were admitted to the Department of Geriatric Medicine were prospectively enrolled in this study. Frailty status was assessed using the Fried Frailty Phenotype (FFP), Clinical Frailty Scale (CFS), Frailty Index of Accumulative Deficits (FI-CD), and Short Physical Performance Battery (SPPB). Cox proportional hazard regression and Poisson regression were used to evaluating the association of the adverse outcomes with frailty as assessed using the four instruments. The discrimination accuracy of these tools in predicting the 1-year all-cause mortality was also compared.ResultsPrevalence of frailty ranged from 51% (using FFP) to 64.2% (using CFS). The four frail instruments were associated with 1-year mortality. After an average follow-up time of 2.18 years (IQR: 1.56–2.62 years), frailty as defined by four instruments (except for FI-CD), was associated with death [FFP: Hazard ratio (HR) = 3.11, 95% confidence interval (CI) 1.30–7.44; CFS: HR = 3.68, 95% CI 1.03–13.16; SPPB: HR = 3.74, 95% CI 1.39–10.06). Frailty was also associated with acute exacerbation (using FFP) and hospitalization (using FFP, CFS, and FI-CD). Frail showed a moderate predictive ability [area under the curve ranging (AUC) 0.70–0.80] and a high negative predictive value (0.98–0.99) for 1-year mortality.ConclusionsWith the four different frailty assessment tools, frailty was associated with poor prognosis in older patients with stable COPD. The FFP, CFS, FI-CD, and SPPB instruments showed similar performance in predicting 1-year mortality.

This Month in Anesthesiology

This Month in Anesthesiology

Development and validation of a knowledge-based score to predict Fried's frailty phenotype across multiple settings using one-year hospital discharge data: The electronic frailty score.

SummaryBackgroundMost claims-based frailty instruments have been designed for group stratification of older populations according to the risk of adverse health outcomes and not frailty itself. We aimed to develop and validate a tool based on one-year hospital discharge data for stratification on Fried's frailty phenotype (FP).MethodsWe used a three-stage development/validation approach. First, we created a clinical knowledge-driven electronic frailty score (eFS) calculated as the number of deficient organs/systems among 18 critical ones identified from the International Statistical Classification of Diseases and Related Problems, 10th Revision (ICD-10) diagnoses coded in the year before FP assessment. Second, for eFS development and internal validation, we linked individual records from the Lc65+ cohort database to inpatient discharge data from Lausanne University Hospital (CHUV) for the period 2004-2015. The development/internal validation sample included community-dwelling, non-institutionalised residents of Lausanne (Switzerland) recruited in the Lc65+ cohort in three waves (2004, 2009, and 2014), aged 65-70 years at enrolment, and hospitalised at the CHUV at least once in the year preceding the FP assessment. Using this sample, we selected the best performing model for predicting the dichotomised FP, with the eFS or ICD-10-based variables as predictors. Third, we conducted an external validation using 2016 Swiss nationwide hospital discharge data and compared the performance of the eFS model in predicting 13 adverse outcomes to three models relying on well-designed and validated claims-based scores (Claims-based Frailty Index, Hospital Frailty Risk Score, Dr Foster Global Frailty Score).FindingsIn the development/internal validation sample (n = 469), 14·3% of participants (n = 67) were frail. Among 34 models tested, the best-subsets logistic regression model with four predictors (age and sex at FP assessment, time since last hospital discharge, eFS) performed best in predicting the dichotomised FP (area under the curve=0·71; F1 score=0·39) and one-year adverse health outcomes. On the external validation sample (n = 54,815; 153 acute care hospitals), the eFS model demonstrated a similar performance to the three other claims-based scoring models. According to the eFS model, the external validation sample showed an estimated prevalence of 56·8% (n = 31,135) of frail older inpatients at admission.InterpretationThe eFS model is an inexpensive, transportable and valid tool allowing reliable group stratification and individual prioritisation for comprehensive frailty assessment and may be applied to both hospitalised and community-dwelling older adults.FundingThe study received no external funding.

Benefits of both physical assessment and electronic health record review to assess frailty prior to heart transplant.

Frailty status affects outcomes after heart transplantation, but the optimal way to assess frailty prior to transplant remains unknown. Thissingle-center,observationalstudy assessed 44 heart transplant candidates for frailty using three methods. The Short Physical Performance Battery (SPPB) and Fried Frailty Phenotype (FFP) were used as two physical assessments of frailty. The Frailty Risk Score (FRS) was used as a chart-review based assessment measuring 20 different biopsychosocial and functional components, including biomarkers, depression, cognitive impairment, and sleep. We determined the correlation between FRS, SPPB, and FFP and how each correlated with clinical outcomes. Of 44 participants, mean age was 60 years. FRS correlated with SPPB and FFP (P=.043, P<.001, respectively). Higher frailty as measured by SPPB and FRS was significantly associated with lack of achieving waitlist status (P=.022; P=.002) and not being transplanted (P=.026; P=.008). Higher frailty by SPPB and FFP was also associated with mortality (P=.010; P=.025). SPPB and chart-review FRS showed potential for predicting waitlist and transplant status of heart transplant candidates, while SPPB and FFP were associated with mortality. Additional studies may serve to validate these observations.

Validity and reliability of Fried frailty phenotype in Turkish population.

Frailty is an important, multidimensional geriatric syndrome defined as increased vulnerability to stressors. Fried frailty phenotype (FFP) is one of the most widely used models to define physical frailty. The aim of this study is to investigate the crosscultural validity and reliability of Fried frailty phenotype (FFP) in older Turkish population. A total of 450 patients, aged 59 years and over, were included. FFP translated into Turkish was used. Hand grip strength cut-off values that best predict low skeletal muscle mass index (SMI) for Turkish men and women were calculated. A modified version of FFP was created by rescoring FFP according to these cut-off values applicable to Turkish population. Correlation analysis between the frailty assessment by comprehensive geriatric evaluation of clinician experienced in geriatric medicine, and FFP and modified version of FFP were performed for validation. Thirty-five patients underwent frailty assessment with FFP twice for reliability assessment. Inter-rater and intra-rater agreements were investigated. Clinician's decision of frailty status demonstrated significant agreement with the results of FFP, as well as modified FFP. Interrater and intra-rater compliance were good. Best hand grip strength cut-off values for predicting low SMI in older Turkish population were determined as ≤13.6 kg (AUC: 0.841, p < 0.001) for women and ≤27.7 kg for men (AUC: 0.779; p < 0.001). Modified FFP had a good agreement with the FFP. FFP is a valid and reliable tool for Turkish population.

Sex Differences in Frailty Incidence in Greek Community-Dwelling Older People: The HELIAD Study.

Previous frailty studies found higher prevalence of frailty in female than in male participants. This was mainly attributed to the fact that compared to men, women show increased longevity. Recent studies have reported that the observed difference between sexes applies irrespectively of the age of older people. To provide data on sex differences in incident frailty by applying both phenotypic and multi-domain frailty measures in the same population of Greek community-dwelling older people. Longitudinal study. Data were drawn from the Hellenic longitudinal Investigation of Aging and Diet (HELIAD), a population-based, multidisciplinary study designed to estimate the prevalence and incidence of dementia in the Greek population. 1104 participants aged 65 year and above were included in this longitudinal study. This incidence cohort was re-evaluated after a mean follow-up period of 3.04±0.90 years. Frailty was operationalized using 5 different definitions in the same population: the Fried Frailty Phenotype (FFP) definition, the FRAIL Scale, the Frailty Index (FI), the Tilburg Frailty Indicator (TFI) and the Groningen Frailty Index (GFI). Frailty incidence was calculated a) for the whole sample, b) separately for men and women and c) after both age and sex stratification. Age and sex stratification revealed that irrespective of age and frailty measurement, women showed higher incidence rates of frailty than men. Specifically, frailty seems to be a condition concerning women >65 years old, but when it comes to men, it is more frequent in those aged more than 75 years old. Finally, in relation to overall frailty incidence and comparing our results to previous studies, we detected a lower frailty incidence in the Greek population. Differences between the two sexes indicate that when exploring the factors that are related to frailty, studies should provide data disaggregated for men and women.

The burden of malnutrition &amp; frailty in patients with coronary artery disease: An under-recognized problem

Elderly patients with coronary artery disease have a high prevalence of frailty and malnutrition. Frailty syndrome is associated with poor outcomes in patients with myocardial infarction. There is a known overlap between frailty and malnutrition, yet these are two different entities. Fried Frailty Phenotype, Frail Scale, timed up and go test, and gait speed are rapid screening tests that may identify patients with frailty in everyday clinical setting. Short Form MNA is a sensitive tool to screen for malnutrition. Despite the availability of several tools for screening for both these conditions, the screening rates remain low. We aim to create awareness about the impacts of frailty and malnutrition, provide a brief overview of tools available and highlight the importance of screening in this high-risk population.

Identifying Frailty in Thermal/Spa Clinical Setting: A Cross-Sectional Study.

No investigation has assessed frailty in the clinical setting of thermal/spa facilities, which often receive older patients with osteo-articular and musculoskeletal conditions. To examine the prevalence of frailty in older adults receiving thermal/spa treatment and to gather preliminary evidence about the feasibility of integrating geriatric assessments, including frailty, in the routine clinical consultations in spa facilities. Mixed design, with a quantitative cross-sectional investigation performed among 197 volunteer patients (mean age 73.2 ± 6.4 years-old; 82.2% women) of seven French thermal/spa facilities and a qualitative investigation (semi-structured interviews) with the nine physicians working in the participating facilities. Frailty was defined according to a modified Fried frailty phenotype based on six self-reported criteria (including mobility impairment, nutritional status, and fatigue): individuals meeting ≥3 criteria were considered frail; 1-2 criteria, pre-frail; no criterion, robust. Interviews with the participating physicians on the feasibility of integrating geriatric assessments in routine clinical consultations at spa facilities were recorded and their content, analyzed. Frailty was detected in 112 individuals (56.9%), 26 (13.2%) were considered prefrail, and 59 (29.9%), robust. Regarding the interviews, three physicians indicated the geriatric assessments could be integrated in the routine spa consultations; two, in the consultations of specific/targeted patients, but not in routine; two, only in the context of health education; two, in the context of research protocols. The content of interviews highlighted geriatric assessments provided a better overview of the health/clinical status of the patients. Frailty is very prevalent in older patients of spa facilities. Such facilities may constitute an interesting clinical setting for screening for frailty through the implementation of geriatric assessments.

Frailty in younger-old and oldest-old adults in a context of high social vulnerability

Objective: To analyze the factors associated with physical frailty in community-dwelling younger-old (60 to 74 years) and oldest-old (75 years or older) adults in a region of high social vulnerability. Social vulnerability refers to the absence of or difficulty obtaining social support from public institutions, situations that hinder the realization of or deny citizens their social rights and affect their social cohesion, and the ability to react to high-risk social situations – associated health and illness. In this study, we used the São Paulo Social Vulnerability Index developed by the SEADE Foundation, which classifies social vulnerability based on socioeconomic and demographic conditions. Methods: Quantitative analytical study of 303 older adults. Fried frailty phenotype assessment was performed and the Mini Mental State Examination, Geriatric Depression Scale, Katz Index of Independence in Activities of Daily Living, and the Lawton Scale of Instrumental Activities of Daily Living were administered. Descriptive statistics and logistic regression were used to analyze data. Results: Of the older adults, 12.21% were nonfrail, 60.72% were prefrail, and 27.06% were frail. The single factor most associated with frailty was depressive symptoms (OR = 2.65; 95%CI 1.38 – 5.08) in the younger-old and illiteracy (OR = 14.64; 95%CI 1.82 – 116.51) in the oldest old. Conclusion: The factor most associated with frailty in younger-old adults (aged 60 to 74 years) was depressive symptoms, whereas in the oldest old (aged 75 or older), the factor most associated with frailty was being illiterate. The results of this investigation should prompt health professionals and managers to discuss and program new strategies for health promotion and prevention of factors that may aggravate frailty, respecting the differences found between older adults in early and later old age.

The feasibility and acceptability of assessing and managing sarcopenia and frailty among older people with upper limb fracture.

Backgroundsarcopenia and frailty are associated with increased risk of falls and fractures. This study evaluated the feasibility of assessing sarcopenia and frailty among older people attending fracture clinics.Methodspatients aged 65+ years with an arm fracture attending fracture clinics in one UK city were recruited. Sarcopenia was assessed using gait speed, grip strength, skeletal muscle mass index SMI, SARC-F questionnaire and the European Working Group on Sarcopenia in Older People (EWGSOP) I and II criteria. Frailty was assessed using Fried Frailty Phenotype (FFP), FRAIL scale, PRISMA-7, electronic Frailty Index (e-FI), Clinical Frailty Score (CFS) and Study of Osteoporotic Fracture. The sensitivity and specificity of each tool was calculated against the EWGSOP II criteria (sarcopenia) and FFP (frailty). Patients identified to have either condition were referred for Comprehensive Geriatric Assessment (CGA). Interviews with 13 patients and nine staff explored the acceptability of this process.Resultshundred patients (Mean age 75 years) were recruited. Most sarcopenia and frailty assessments were quick with complete data collection and were acceptable to patients and staff. Sarcopenia was identified among 4–39% participants depending on the tool and frailty among 9–25%. Both conditions were more common among men than women with all tools. The SARC-F and PRISMA-7 had the best sensitivity (100 and 93%, respectively) and specificity (96 and 87%). CGA among 80% of referred participants led to three interventions per participant (e.g. medication changes and investigations).ConclusionSARC-F and PRISMA-7 are recommended for use in fracture clinics to screen for sarcopenia and frailty.

Frailty Measures of Patient-reported Activity and Fatigue May Predict 1-year Outcomes in Ambulatory Advanced Heart Failure: A Report From the REVIVAL Registry

BackgroundThe Fried Frailty Phenotype predicts adverse outcomes in geriatric populations, but has not been well-studied in advanced heart failure (HF). The Registry Evaluation of Vital Information for Ventricular Assist Devices (VADs) in Ambulatory Life (REVIVAL) study prospectively collected frailty measures in patients with advanced HF to determine relevant assessments and their impact on clinical outcomes. Methods and ResultsHF-Fried Frailty was defined by 5 baseline components (1 point each): (1) weakness: hand grip strength less than 25% of body weight; (2) slowness based on time to walk 15 feet; (3) weight loss of more than 10 lbs in the past year; (4) inactivity; and (5) exhaustion, both assessed by the Kansas City Cardiomyopathy Questionnaire. A score of 0 or 1 was deemed nonfrail, 2 prefrail, and 3 or greater was considered frail. The primary composite outcome was durable mechanical circulatory support implantation, cardiac transplant or death at 1 year. Event-free survival for each group was determined by the Kaplan–Meier method and the hazard of prefrailty and frailty were compared with nonfrailty with proportional hazards modeling. Among 345 patients with all 5 frailty domains assessed, frailty was present in 17%, prefrailty in 40%, and 43% were nonfrail, with 67% (n = 232) meeting the criteria based on inactivity and 54% (n = 186) for exhaustion. Frail patients had an increased risk of the primary composite outcome (unadjusted hazard ratio [HR] 2.82, 95% confidence interval [CI] 1.52–5.24; adjusted HR 3.41, 95% CI 1.79–6.52), as did prefrail patients (unadjusted HR 1.97, 95% CI 1.14–3.41; adjusted HR 2.11, 95% CI 1.21–3.66) compared with nonfrail patients, however, the predictive value of HF-Fried Frailty criteria was modest (Harrel's C-statistic of 0.603, P = .004). ConclusionsThe HF-Fried Frailty criteria had only modest predictive power in identifying ambulatory patients with advanced HF at high risk for durable mechanical circulatory support, transplant, or death within 1 year, driven primarily by assessments of inactivity and exhaustion. Focus on these patient-reported measures may better inform clinical trajectories in this population.

Correlation between albumin serum and frailty in geriatric inpatient and outpatient clinic at Sanglah Hospital Denpasar

Background. Frailty in the elderly has a bad impact on health, especially in the elderly with acute illness. Elderly with frailty has an increase susceptibility to falls, disability and death. Frailty is a common problem in elderly patients, and hypoalbuminemia suggested to increase the risk of death. This study aimed to determine the relationship between albumin and frailty.Method: A Cross-Sectional Study was conducted from February 2018 to January 2019 at Sanglah Hospital with total 60 patients. Patients were divided into two groups, patients with hypoalbuminemia (albumin &lt; 3.5 g/dL) and patients with normal serum albumin levels (albumin ? 3.5 g/dL). The frailty status assessment was measured with Fried's Frailty Phenotype questionnaire. Chi-square test was used to find the relationship between serum albumin and frailty.Result: We evaluated 60 patients, 36 patients (60%) were male and 24 patients (40%) were female. The age of the study subjects ranged from 62 to 92 years. In this study 26 patients (43.3%) with hypoalbuminemia and 34 patients (56.7%) with normal serum albumin. There were 20 patients (76.9%) with frailty in the hypoalbuminemia group, compared to 11 patients (32.4%) in the group of patients with normal serum albumin. Hypoalbuminemia has a risk of 6.97 times greater frailty compared to normal albumin in elderly patients (p = 0.001).Conclusion: This study exhibited a significant relationship between serum albumin and frailty in elderly admitted to inpatient unit and outpatient clinic. The lower the serum albumin level, the higher the probability of the elderly to experience frailty.

Towards Healthy Ageing: Using the Concept of Intrinsic Capacity in Frailty Prevention.

To examine whether intrinsic capacity (IC) could predict frailty, whether declines in specific domains of IC could lead to frailty, and whether different combinations of domains could represent different risks of developing frailty. Community. Chinese people aged 65 years and older. Using data from a prospective cohort study, we derived a summary score for IC and scores for the five domains (cognitive, locomotor, vitality, sensory, psychological) for each participant at baseline. Frailty was assessed according to the Fried's frailty phenotype at baseline, 2- and 4-year follow-ups. Participants were classified as frail if they had ≥3 of the following criteria: weight loss, self-rated exhaustion, weakness, slow walking speed, and low physical activity. Four thousand participants were interviewed at baseline. Overall mean age was 72.5 years; 50% were women. Between baseline and the 2-year follow-up, 5.7% of non-frail participants developed frailty; between 2- and 4-year follow-ups, 5.7% of non-frail participants developed frailty. The average annual incidence rate of frailty was 2.9%. Higher scores on IC at baseline were associated with a lower risk of incident frailty at both follow-ups (year 2, odds ratio (OR)=0.64, 95% confidence interval (CI)=0.59-0.71); year 4, OR=0.64, 95%CI=0.58-0.71) after adjustment for age, sex, educational level, and chronic diseases. Across the five domains, vitality was the strongest predictor of incident frailty at each follow-up (year 2, OR=0.33, 95%CI=0.24-0.45; year 4, OR=0.33, 95%CI=0.23-0.46). Compared to other combinations of any two domains, having 'high' scores on both vitality and locomotor domains was associated with the lowest risk of incident frailty (year 2, OR=0.11, 95%CI=0.06-0.22, area under the curve (AUC)=0.770; year 4, OR=0.18, 95%CI=0.10-0.32, AUC=0.782). This study provides evidence that IC was independently associated with incident frailty. It also finds that vitality was the domain most strongly associated with incident frailty. Finally, it suggests that optimizing multiple domains of IC, particularly vitality and locomotor, may prevent frailty.

The Utility of the WHO Intrinsic Capacity Screening Tool to Identify Physical and Mental Function Declines

Background: The disease concept is increasingly being replaced by a functional approach to address the healthcare needs of the older people. WHO proposed the Integrated Care for Older People (ICOPE) screening tool to identify older people with priority conditions associated with declines in intrinsic capacity (IC). Very few evidence on the clinical utility of the ICOPE tool is available. Objectives: To determine if the tool can identify adults with poor physical and mental function. Method: 376 participants aged 50–97 years were included. IC was assessed with the WHO ICOPE screening tool, covering the following five domains: cognitive decline, limited mobility, malnutrition, sensory loss, and depressive symptoms. We assessed the activities of daily living, the Fried frailty phenotype, FRAIL scale, SARC-F scale, MMSE, GDS, social frailty, and quality of life. Peak expiratory flow, bones mineral density, body composition were obtained. Results: 69.1% of the participants showed declines in IC. Participants with declines in IC were older, had more chronic diseases, worse general health, worse physical function as indicated by lower Barthel index, walk speed, grip strength, and physical fatigue, worse mental function indicated by lower MMSE scores, higher GDS scores, more mental fatigue, and worse social function. After adjusting for age, IC was positively correlated with walking speed, resilience score, and MMSE score and negatively correlated with frailty, SARC-F score, IADL score, GDS score, and physical and mental fatigue. Conclusion: The WHO ICOPE screening tool is useful to identify adults with poor physical and mental function in Chinese older adults.

Predictors of Transition to Frailty in Middle-Aged and Older People With HIV: A Prospective Cohort Study.

People with HIV (PWH) have increased frailty risk at younger ages compared with the general population. Multimorbidity is associated with frailty, yet effects of specific comorbidities on transition to frailty in PWH are unknown. Prospective study of 219 PWH age 45 years or older in the National NeuroAIDS Tissue Consortium. Frailty status was categorized using Fried frailty phenotype criteria. Comorbidities [bone disease, cardiovascular disease, cerebrovascular disease, liver disease, renal disease, diabetes, chronic obstructive pulmonary disease (COPD), hypertension, obesity, cancers, neuropsychiatric conditions] were assessed from longitudinal data. Associations between baseline comorbidities and transition to frailty within 30 months were analyzed using Kaplan-Meier and Cox regression models. Grip strength was assessed using mixed-effects models. At baseline, the median age was 61 years, 73% were male 98% were on antiretroviral therapy, 29% had ≥3 comorbidities, 27% were robust, and 73% were pre-frail. Cerebrovascular disease, diabetes, and COPD were independent predictors of transition to frailty within 30 months in models adjusted for age, sex, and multimorbidity (≥3 additional comorbidities) [hazard ratios (95% confidence intervals) 2.52 (1.29 to 4.93), 2.31 (1.12 to 4.76), and 1.82 (0.95 to 3.48), respectively]. Furthermore, cerebrovascular disease, diabetes, COPD, or liver disease co-occurring with multimorbidity was associated with substantially increased frailty hazards compared with multimorbidity alone (hazard ratios 4.75-7.46). Cerebrovascular disease was associated with decreased baseline grip strength (P = 0.0001), whereas multimorbidity, diabetes, and COPD were associated with declining grip strength (P < 0.10). In older PWH, cerebrovascular disease, diabetes, COPD, or liver disease co-occurring with multimorbidity is associated with substantially increased risk of becoming frail within 30 months. Interventions targeting these comorbidities may ameliorate frailty and age-related functional decline in PWH.

Validation of Cognitive Impairment in Combination With Physical Frailty as a Predictor of Mortality in Patients With Advanced Heart Failure Referred for Heart Transplantation.

The aim of this study was to validate our previous finding that frailty predicts early mortality in patients with advanced heart failure (AHF) and that including cognition in the frailty assessment enhances the prediction of mortality. Patients with AHF referred to our Transplant Unit between November 2015 and April 2020 underwent physical frailty assessment using the modified Fried physical frailty (PF) phenotype as well as cognitive assessment using the Montreal Cognitive Assessment to identify patients who were cognitively frail (CogF). We assessed the predictive value of the 2 frailty measures (PF ≥ 3 of 5 = frail; CogF ≥ 3 of 6 = frail) for pretransplant mortality. Three hundred thirteen patients (233 male and 80 female; age 53 ± 13 y) were assessed. Of these, 224 patients (72%) were nonfrail and 89 (28%) were frail using the PF. The CogF assessment identified an additional 30 patients as frail: 119 (38%). Frail patients had significantly increased mortality as compared to nonfrail patients. Ventricular assist device and heart transplant-censored survival at 12 mo was 92 ± 2 % for nonfrail and 69 ± 5% for frail patients (P < 0.0001) using the CogF instrument. This study validates our previously published findings that frailty is prevalent in patients with AHF referred for heart transplantation. PF predicts early mortality. The addition of cognitive assessment to the physical assessment of frailty identifies an additional cohort of patients with a similarly poor prognosis.