Detecting and categorizing frailty status in older adults using a self-report screening instrument

Frailty and pre-frailty prevalence in community-dwelling elderly with multimorbidity: A systematic review and meta-analysis

BACKGROUND

The relationship between frailty/pre-frailty, and multimorbidity in the elderly is recognized, but specific prevalence among community-dwelling elderly with multimorbidity is unclear. This study aims to determine these rates, analyze subgroup, and identify sources of heterogeneity to bolster evidence-based interventions and health policies.

METHODS

We searched nine databases from inception to November 16, 2023, for cross-sectional and cohort studies on community-dwelling elderly with multimorbidity. Data were extracted to calculate the prevalence of frailty and pre-frailty. Study quality was assessed using AHRQ and NOS tools.

RESULTS

Fifteen studies encompassing 9,683 participants with multimorbidity were analyzed. The pooled prevalence of frailty and pre-frailty was 18.1 % and 48.9 %, respectively. Age-stratified analyses found 17 % frailty and 58.4 % pre-frailty in the 70-74 age group, and 16.7 % and 54.2 % in those above 75 years. Cross-sectional studies showed 18.8 % frailty and 48.1 % pre-frailty, while cohort studies showed 18.1 % and 50.5 %, respectively. Asia had higher rates (22.7 % frailty, 43.5 % pre-frailty) than the Americas (9.9 % frailty, 56.3 % pre-frailty). By sample size, frailty prevalence was 21.3 % (<500), 9.1 % (500-999), and 17.9 % (≥1000), with pre-frailty at 51.1 %, 45.6 %, and 47.7 %. The FP method yielded higher prevalence estimates (17.7 % frailty, 51.6 % pre-frailty) than the FS method (9.5 % frailty, 39.2 % pre-frailty).

CONCLUSION

This study provides insights into the prevalence of frailty and pre-frailty among community-dwelling elderly with multimorbidity. Variations in prevalence rates may be attributed to differences in sample size and measurement tools, which also contribute to heterogeneity observed across subgroups.

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

PURPOSE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Association of Frailty with Patient-Report Outcomes and Major Clinical Determinants in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Purpose

This study aimed to explore the correlation of frailty status with disease characteristics and patient-reported outcomes (PROs) in patients with acute exacerbations of chronic obstructive pulmonary disease (AECOPD) and determine the sensitivity and specificity of modified COPD PRO scale (mCOPD-PRO) for detecting frailty.

Patients and Methods

This cross-sectional study surveyed 315 inpatients with AECOPD from a tertiary hospital in China from August 2022 to June 2023. Patient frailty and PROs were assessed using the validated FRAIL scale and mCOPD-PRO, respectively. Spearman's ρ was used to assess the relevance of lung disease indicators commonly used in clinical practice, and ordinal logistic regression analyses were used to identify the variables associated with frailty status. The validity of mCOPD-PRO in discriminating frail or non-frail individuals was determined using the receiver operating characteristic curve.

Results

The participants (N=302, mean age 72.4±9.1 years) were predominantly males (73.2%). Among them, 43 (14.3%) patients were not frail, whereas 123 (40.7%) and 136 (45.0%) patients were pre-frail and frail, respectively. The FRAIL scale was moderately correlated with the mCOPD-PRO scores (Spearman's rank correlation coefficient [Rs]=0.52, P<0.01) for all dimensions (Rs=0.43-0.49, P<0.01). Patients residing in rural areas (odds ratio [OR], 1.67; 95% confidence interval [95% CI], 1.01-2.76) and with higher mCOPD-PRO scores (OR, 4.78; 95% CI, 2.75-8.32) were more likely to be frail. Physically active patients (OR, 0.42; 95% CI, 0.21-0.84) were less likely to be frail. In addition, mCOPD-PRO had good discriminate validity for detecting frailty (area under the curve=0.78), with a sensitivity and specificity of 84.6% and 60.8%, respectively. The optimal probability threshold for mCOPD-PRO was ≥1.52 points.

Conclusion

In patients with AECOPD, frailty is closely related to PROs and disease characteristics. Additionally, the mCOPD-PRO score can distinguish well between frail and non-frail patients. Our findings provide support for interventions targeting frail populations with AECOPD.

Older adults using social support to improve self-care (OASIS): Adaptation, implementation and feasibility of peer support for older adults with T2D in appalachia: A feasibility study protocol

INTRODUCTION

The prevalence of type 2 diabetes (T2D) is 17% higher in rural dwellers compared to their urban counterparts, and it increases with age, with an estimated 25% of older adults (≥ 65 years) diagnosed. Appropriate self-care is necessary for optimal clinical outcomes. Overall, T2D self-care is consistently poor among the general population but is even worse in rural-dwellers and older adults. In rural Kentucky, up to 23% of adults in Appalachian communities have been diagnosed with T2D and, of those, 26.8% are older adults. To attain optimal clinical outcomes, social environmental factors, including social support, are vital when promoting T2D self-care. Specifically, peer support has shown to be efficacious in improving T2D self-care behaviors and clinical and psychosocial outcomes related to T2D; however, literature also suggests self-selected social support can be obstructive when engaging in healthful activities. Currently available evidence-based interventions (EBIs) using peer support have not been used to prioritize older adults, especially those living in rural communities.

METHOD

To address this gap, we conducted formative research with stakeholders, and collaboratively identified an acceptable and feasible peer support EBI-peer health coaching (PHC)-that has resulted in improved clinical and psychosocial T2D-related outcomes among participants who did not reside in rural communities nor were ≥65 years. The goal of the proposed study is to use a 2x2 factorial design to test the adapted PHC components and determine their preliminary effectiveness to promote self-care behaviors and improve glycemic control among older adults living in Appalachian Kentucky. Testing the PHC components of the peer support intervention will be instrumental in promoting care for older adults in Appalachia, as it will allow for a larger scale intervention, which if effective, could be disseminated to community partners in Appalachia.

TRIAL REGISTRATION

This study was registered at www.clinicaltrials.gov (NCT06003634) in August 2023.

Validation of a Brief Form of the Self-Administered Multidimensional Prognostic Index: The SELFY-BRIEF-MPI Project

In clinical practice, self-administered and brief tools to promptly identify older people at risk of frailty are required. The Multidimensional Prognostic Index (MPI), derived from the Comprehensive Geriatric Assessment (CGA) seems reliable enough to serve this purpose, but despite the several versions developed over the past 15 years, it lacks a self-administered and brief version. In this study, we aimed to evaluate the agreement between an abbreviated form of the SELFY-MPI (i.e., SELFY-BRIEF-MPI) and the standard version of the MPI. Four Italian hospitals consecutively enrolled outpatients and inpatients >65 years. The sample included 105 participants (mean age = 78.8 years, 53.3% females). Overall, the two versions showed non-statistically significant differences (Standard-MPI 0.42 ± 0.19 vs.. SELFY-BRIEF-MPI 0.41 ± 0.18; p = 0.104) and a very strong correlation (R = 0.86, p < 0.001). The Bland-Altman Plot revealed that only 5/105 measurements (4.76%) were outside the limits of agreement. The accuracy of the SELFY-BRIEF-MPI in identifying frail people (defined as a Standard-MPI > 0.66) was optimal (area under the curve, AUC = 0.90, p < 0.001). To predict multidimensional frailty, a SELFY-BRIEF-MPI score of 0.60 exhibited the greatest sensitivity/specificity ratio. In conclusion, the SELFY-BRIEF-MPI reported a good agreement with the standard version of the MPI, indicating its application in the screening of multidimensional frailty among older people.

Substitution of self-reported measures for objectively assessed grip strength and slow walk in the Physical Frailty Phenotype: ramifications for validity

BACKGROUND

Frailty assessment promises to identify older adults at risk for adverse consequences following stressors and target interventions to improve health outcomes. The Physical Frailty Phenotype (PFP) is a widely-studied, well validated assessment but incorporates performance-based slow walk and grip strength criteria that challenge its use in some clinical settings. Variants replacing performance-based elements with self-reported proxies have been proposed. Our study evaluated whether commonly available disability self-reports could be substituted for the performance-based criteria in the PFP while still identifying as "frail" the same subpopulations of individuals.

METHODS

Parallel analyses were conducted in 3393 female and 2495 male Cardiovascular Health Study, Round 2 participants assessed in 1989-90. Candidate self-reported proxies for the phenotype's "slowness" and "weakness" criteria were evaluated for comparable prevalence and agreement by mode of measurement. For best-performing candidates: Frailty status (3 + positive criteria out of 5) was compared for prevalence and agreement between the PFP and mostly self-reported versions. Personal characteristics were compared between those adjudicated as frail by (a) only a self-reported version; (b) only the PFP; (c) both, using bivariable analyses and multinomial logistic regression.

RESULTS

Self-reported difficulty walking ½ mile was selected as a proxy for the phenotype's slowness criterion. Two self-reported weakness proxies were examined: difficulty transferring from a bed or chair or gripping with hands, and difficulty as just defined or in lifting a 10-pound bag. Prevalences matched to within 4% between self-reported and performance-based criteria in the whole sample, but in all cases the self-reported prevalence for women exceeded that for men by 11% or more. Cross-modal agreement was moderate, with by-criterion and frailty-wide Kappa statistics of 0.55-0.60 in all cases. Frail subgroups (a), (b), (c) were independently discriminated (p < 0.05) by race, BMI, and depression in women; by age in men; and by self-reported health for both.

CONCLUSIONS

Commonly used self-reported disability items cannot be assumed to stand in for performance-based criteria in the PFP. We found subpopulations identified as frail by resultant phenotypes versus the original phenotype to systematically differ. Work to develop self-reported proxies that more closely replicate their objective phenotypic counterparts than standard disability self-reports is needed.

A review of frailty instruments in human medicine and proposal of a frailty instrument for dogs

Over the last few decades, frailty has become a pillar of research and clinical assessment in human gerontology. This complex syndrome, characterized by loss of physiologic reserves leading to decreased resilience to stressors, is of critical importance because it predicts higher risks of poor health outcomes, including mortality. Thus, identifying frailty among the elderly human population has become a key focus of gerontology. This narrative review presents current scientific literature on frailty in both humans and animals. The authors discuss the need for an accessible frailty instrument for companion dogs suitable for general use in veterinary medicine and the advances that would be facilitated by this instrument. A phenotypic frailty instrument for companion dogs, utilizing components that are easily collected by owners, or in the general practice setting, is proposed. The authors elaborate on the domains (physical condition, physical activity, mobility, strength, cognitive task performance, and social behavior), factors that will be included, and the data from the Dog Aging Project that inform each domain.

Comparison of healthspan-related indicators between adults with and without HIV infection aged 18-59 in the United States: a secondary analysis of NAHNES 1999-March 2020

BACKGROUND

As persons with HIV (PWH) live longer they may experience a heightened burden of poor health. However, few studies have characterized the multi-dimentional health of PWH. Thus, we aimed to identify the extent and pattern of health disparities, both within HIV infection status and across age (or sex) specific groups.

METHODS

We used cross-sectional data from the US National Health and Nutrition Examination Survey, 1999-March 2020. The adjusted prevalence of six healthspan-related indicators-physical frailty, activities of daily living (ADL) disability, mobility disability, depression, multimorbidity, and all-cause death-was evaluated. Logistic regression and Cox proportional hazards analyses were used to investigate associations between HIV status and healthspan-related indicators, with adjustment for individual-level demographic characteristics and risk behaviors.

RESULTS

The analytic sample consisted of 33 200 adults (170 (0.51%) were PWH) aged 18-59 years in the United States. The mean (interquartile range) age was 35.1 (25.0-44.0) years, and 49.4% were male. PWH had higher adjusted prevalences for all of the 6 healthspan-related indicators, as compared to those without HIV, ranged from 17.4% (95% CI: 17.4%, 17.5%) vs. 2.7% (95%CI: 2.7%, 2.7%) for all-cause mortality, to 84.3% (95% CI: 84.0%, 84.5%) vs. 69.8% (95%CI: 69.7%, 69.8%) for mobility disability. While the prevalence difference was largest in ADL disability (23.4% (95% CI: 23.2%, 23.7%); P < 0.001), and least in multimorbidity (6.9% (95% CI: 6.8%, 7.0%); P < 0.001). Generally, the differences in prevalence by HIV status were greater in 50-59 years group than those in 18-29 group. Males with HIV suffered higher prevalence of depression and multimorbidity, while females with HIV were more vulnerable to functional limitation and disabilities. HIV infection was associated with higher odds for 3 of the 6 healthspan-related indicators after fully adjusted, such as physical frailty and depression. Sensitivity analyses did not change the health differences between adults with and without HIV infection.

CONCLUSIONS

In a large sample of U.S. community-dwelling adults, by identifying the extent and pattern of health disparities, we characterized the multi-dimentional health of PWHs, providing important public health implications for public policy that aims to improve health of persons with HIV and further reduce these disparities.

Comparison of Frailty Assessment Tools for Older Thai Individuals at the Out-Patient Clinic of the Family Medicine Department

This study evaluated the validity of the screening tools used to evaluate the frailty status of older Thai people. A cross-sectional study of 251 patients aged 60 years or more in an out-patient department was conducted using the Frailty Assessment Tool of the Thai Ministry of Public Health (FATMPH) and the Frail Non-Disabled (FiND) questionnaire, and the results were compared with Fried's Frailty Phenotype (FFP). The validity of the data acquired using each method was evaluated by examining their sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Cohen's kappa coefficient. Most of the participants were female (60.96%), and most were between 60 and 69 years old (65.34%). The measured prevalences of frailty were 8.37%, 17.53%, and 3.98% using FFP, FATMPH, and FiND tools, respectively. FATMP had a sensitivity of 57.14%, a specificity of 86.09%, a PPV of 27.27%, and an NPV of 95.65%. FiND had a sensitivity of 19.05%, a specificity of 97.39%, a PPV of 40.00%, and an NPV of 92.94%. The results of the Cohen's kappa comparison of these two tools and FFP were 0.298 for FATMPH and 0.147 for FiND. The predictive values of both FATMPH and FiND were insufficient for assessing frailty in a clinical setting. Additional research on other frailty tools is necessary to improve the accuracy of frailty screening in the older population of Thailand.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Multimorbidity patterns and risk of frailty in older community-dwelling adults: a population-based cohort study

BACKGROUND

the aim of this study was to examine the cross-sectional and longitudinal associations of different multimorbidity patterns with physical frailty in older adults.

METHODS

we used data from the Swedish National study on Aging and Care in Kungsholmen to generate a physical frailty measure, and clusters of participants with similar multimorbidity patterns were identified through fuzzy c-means cluster analyses. The cross-sectional association (n = 2,534) between multimorbidity clusters and physical frailty was measured through logistic regression analyses. Six- (n = 2,122) and 12-year (n = 2,140) longitudinal associations were determined through multinomial logistic regression analyses.

RESULTS

six multimorbidity patterns were identified at baseline: psychiatric diseases; cardiovascular diseases, anaemia and dementia; sensory impairments and cancer; metabolic and sleep disorders; musculoskeletal, respiratory and gastrointestinal diseases; and an unspecific pattern lacking any overrepresented diseases. Cross-sectionally, each pattern was associated with physical frailty compared with the unspecific pattern. Over 6 years, the psychiatric diseases (relative risk ratio [RRR]: 3.04; 95% confidence intervals [CI]: 1.59-5.79); cardiovascular diseases, anaemia and dementia (RRR 2.25; 95% CI: 1.13-4.49) and metabolic and sleep disorders (RRR 1.99; 95% CI: 1.25-3.16) patterns were associated with incident physical frailty. The cardiovascular diseases, anaemia and dementia (RRR: 4.81; 95% CI: 1.59-14.60); psychiatric diseases (RRR 2.62; 95% CI: 1.45-4.72) and sensory impairments and cancer (RRR 1.87; 95% CI: 1.05-3.35) patterns were more associated with physical frailty, compared with the unspecific pattern, over 12 years.

CONCLUSIONS

we found that older adults with multimorbidity characterised by cardiovascular and neuropsychiatric disease patterns are most susceptible to developing physical frailty.

Home environment and frailty in very old adults

Background

Since older adults spend much time in their home environment (HE), frailty may occur as a consequence of a maladaptation to the HE. The aim of this study was to describe the prevalence of frailty in the very old population of North Rhine-Westphalia, and to examine the association between the HE and the frailty levels of these individuals.

Methods

Data from a cross-sectional representative study were used, including data on 1577 community-dwelling individuals and nursing home residents aged ≥ 80 years. Objective and subjective HE aspects were included. Frailty was defined according to four criteria: exhaustion, unintentional weight loss, weakness, and low physical activity. Adjusted multinomial regression modelling was used to analyze the link between the HE and frailty levels.

Results

Of the very old individuals, 24.3% were robust, 57.0% were prefrail, and 18.7% were frail. Adjusting for relevant sociodemographic and health characteristics, being not closely attached to the HE was linked with an increased probability of being prefrail and frail. An improvement of the residential area was associated with a decrease in odds of being frail. Living in communities with less than 50,000 and with 100,000–499,999 inhabitants decreased the odds of being frail.

Discussion

Frailty prevalence is shown to be higher in the very old population than in the younger age groups in Germany. Early identification of frailty and tailored interventions focused on improving objective and subjective attributes of the HE are needed to reduce the risk of frailty.

Supplementary Information

The online version of this article (10.1007/s00391-021-01969-6) contains supplementary material, which is available to authorized users.

Understanding Frailty Screening: a Domain Mapping Exercise

Background

Many definitions and operationalisations of frailty exclude psychosocial factors, such as social isolation and mental health, despite considerable evidence of the links between frailty and these factors. This study aimed to investigate the health domains covered by frailty screening tools.

Methods

A systematic search of the literature was conducted in accordance with PRISMA guidelines. MEDLINE, CINAHL, EMBASE, and PsycInfo were searched from inception to December 31, 2018. Data related to the domains of each screening tool were extracted and mapped onto a framework based on the biopsychosocial model of Lehmans et al. (2009) and Wade & Halligans (2017).

Results

Sixty-seven frailty screening tools were captured in 79 articles. All screening tools assessed biological factors, 73% assessed psychological factors, 52% assessed social factors, and 78% assessed contextual factors. Under half (43%) of the tools evaluated all four domains, 33% evaluated three of four domains, 12% reported two of four domains, and 13% reported one domain (biological).

Conclusion

This review found considerable variation in the assessment domains covered by frailty screening tools. Frailty is a broad construct, and frailty screening tools need to cover a wide variety of domains to enhance screening and outcomes assessment.

An integrated knowledge translation approach to address avoidable rehospitalisations and unplanned admissions for older people in South Australia: implementation and evaluation program plan

Background

Repeated admission to hospital can be stressful for older people and their families and puts additional pressure on the health care system. While there is some evidence about strategies to better integrate care, improve older patients’ experiences at transitions of care, and reduce preventable hospital readmissions, implementing these strategies at scale is challenging. This program of research comprises multiple, complementary research activities with an overall goal of improving the care for older people after discharge from hospital. The program leverages existing large datasets and an established collaborative network of clinicians, consumers, academics, and aged care providers.

Methods

The program of research will take place in South Australia focusing on people aged 65 and over. Three inter-linked research activities will be the following: (1) analyse existing registry data to profile individuals at high risk of emergency department encounters and hospital admissions; (2) evaluate the cost-effectiveness of existing ‘out-of-hospital’ programs provided within the state; and (3) implement a state-wide quality improvement collaborative to tackle key interventions likely to improve older people’s care at points of transitions. The research is underpinned by an integrated approach to knowledge translation, actively engaging a broad range of stakeholders to optimise the relevance and sustainability of the changes that are introduced.

Discussion

This project highlights the uniqueness and potential value of bringing together key stakeholders and using a multi-faceted approach (risk profiling; evaluation framework; implementation and evaluation) for improving health services. The program aims to develop a practical and scalable solution to a challenging health service problem for frail older people and service providers.

Frailty inclusive care in acute and community-based settings: a systematic review protocol

BACKGROUND

Frailty is a known risk factor for an array of adverse outcomes including more frequent and prolonged health services use and high health care costs. Aging of the population has implications for care provision across the care continuum, particularly for people living with frailty. Despite known risks associated with frailty, there has been limited research on care pathways that address the needs of persons living with frailty. Our study aims to review and examine, in a rigorous way, the quality of evidence for multi-component interventions and care pathways focused on frailty.

METHODS

A comprehensive electronic search strategy will be used to identify studies that evaluate multi-component interventions or care pathways for persons living with frailty. The search strategy will include terms for frailty, multi-component interventions, effectiveness, and cost effectiveness applied to the following databases: MEDLINE (OVID), EMBASE (OVID), CINAHL (EBSCO), Cochrane Central Register of Controlled Trials (CENTRAL), and Cochrane Database of Systematic Reviews. An adapted search for Google Scholar and gray literature databases will also be used. References of included studies will be hand-searched for additional citations of frailty-inclusive care. Known experts and corresponding authors of identified articles will be contacted by email to identify further eligible studies. Risk of bias will be assessed using the Effective Public Health Practice Project Quality Assessment tool. Data will be extracted from eligible studies and it is anticipated that narrative analysis will be used. If studies with sufficient homogeneity are found, then pooled effects will be reported using meta-analysis.

DISCUSSION

This review will appraise the evidence currently available on multi-component frailty interventions. Results will inform on clinical pathway development for people living with frailty across the care continuum and will guide future research to address gaps in the literature and areas in need of further development.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42020166733.

Moderating effect of age on the relationships between pre-frailty and body measures

This study aims to investigate the relationship between body measures and the presence of two frailty-related phenotypes, and the moderating effect of age on this relationship. This is a secondary data analysis of the baseline data of an interventional study. The participants were residents of seven districts in Hong Kong, aged 55 or older, able to ambulate independently and to function well cognitively. Pre-frailty refers to the presence of two frailty-related phenotypes: low physical activity or poor handgrip strength or both. Included in the study were 199 individuals with a mean age of 73.43 (SD 7.54). Regression models showed that body weight (OR = 0.95, 95% CI 0.92-0.99, p < .05) was significantly associated with pre-frailty, as was body height (OR = 0.88, 95% CI 0.83-0.94, p < .001). Age is a significant moderator of the relationship between pre-frailty and body weight and body height. The effect of body weight (beta = -0.044, p < .05) and height (beta = -0.16, p < .001) on pre-frailty was significant and negative in the younger age groups. The findings indicate that raw body measures (i.e. body weight, body height) are more predictive of pre-frailty than BMI in older Chinese people. However, in the old-old group, these measures are not significant predictors of pre-frailty in Chinese community-dwelling adults. Practitioners should consider adopting body measures as predictors of pre-frailty in the younger-old population.

Nutritional domains in frailty tools: Working towards an operational definition of nutritional frailty

Different methods have been proposed for the assessment of the nutritional status in frailty phenotypes. In the present narrative review article, we have summarized the number and specifications of nutritional items in existing frailty tools, in order to develop a possible means of assessment and operational definition of the nutritional frailty phenotype. In six different databases until December 2019, we searched for original articles regarding frailty tools (i.e., scales, indexes, scores, questionnaires, instruments, evaluations, screening, indicators), analyzing each tool regarding nutritional items. We identified 160 articles describing 71 frailty tools. Among the selected frailty tools, 54 were community-based (70 %), 17 hospital-based (22 %), 4 validated in long-term care institutions for older adults (LTCIOA) (5.1 %) and 2 validated in both community- and hospital-based settings, including LTCIOA (2.5 %). Fifty-two of these tools (73 %) included at least one nutritional item. Twenty-two (42 %) reported two or more nutritional items. The items were grouped in the following categories: A) anthropometric measurements, B) laboratory measurements, and C) other nutritional-related measurements. Anthropometric measurements stood out compared to all other items. Nutritional items are included in the majority of frailty tools, strengthening the concept that they may have a direct implication on an increased risk of adverse health-related outcomes in frail subjects. This supports the development of the concept of nutritional frailty as an independent frailty phenotype. Subsequent steps will be to assess the contribution of each nutritional item to a possible operational definition of nutritional frailty and define the items that may best identify this new frailty phenotype.

The joint effects of frailty and telomere length for predicting mortality in older adults: the National Health and Nutrition Examination Survey 1999-2002

BACKGROUND

Frailty and short telomere length, which address different aspects of biological aging, are separately associated with mortality in older adults.

AIMS

To evaluate whether the combination of these two biomarkers would be a better predictor of mortality than either alone.

METHODS

This present study included participants 60 years of age or older from the National Health and Nutrition Examination Survey in the 1999-2002 phase. The frailty phenotype was identified based on the Fried definition. Telomere length relative to standard reference DNA (T/S ratio) was assessed using quantitative polymerase chain reaction (PCR). Cox proportional hazards regression models were used to estimate the individual and combined effects of frailty phenotype and telomere length on all-cause and cardiovascular mortality.

RESULTS

Compared with participants with neither impairment, the mortality risks increased slightly among participants with short telomere length only (hazard ratio [HR] 1.19, 95% confidence interval [CI]: 1.00-1.42) or pre-frailty only (HR 2.16, 95% CI 1.80-2.60) and gradually elevated approximately 3 folds with both short telomere length and pre-frailty (HR 2.23, 95% CI 1.81-2.74) or frailty (HR 3.57, 95% CI 2.56-4.98). Moreover, participants with both short telomere length and frailty had the highest increased all-cause mortality (HR 5.16, 95% CI 3.38-7.85) and cardiovascular mortality (HR 4.67, 95% CI 2.02-10.82).

DISCUSSION AND CONCLUSIONS

The combined predictor had more capability of predicting mortality, which suggested that integrating both molecular biomarkers and physiological functional parameters would be a more informative measure of biological aging.

The Association between Frailty and Uncorrected Refractive Error in Older Adults

Purpose: Uncorrected refractive error (URE) is the leading cause of impaired vision in older adults and has been associated with adverse health outcomes. Here, we investigate the association between URE and frailty in older adults.Methods: This is a cross-sectional analysis of National Health and Nutrition Examination Survey (NHANES) participants ≥60 years (1999-2006 cycles). URE was defined as visual acuity worse than 6/12 that can be improved with correction, and prefrailty and frailty were defined as meeting 1-2 and ≥3 of 4 components of a modified physical frailty phenotype. The 5-item phenotype (including slowness) was analyzed in a subset of participants with available data. Propensity score adjustment was used to address the imbalance of potential confounders (including age) between URE groups.Results: In this sample (n = 5,265), 6% of participants had URE (n = 373). In fully adjusted propensity score-based models, individuals with URE were more likely to be prefrail (OR = 1.4; 95% CI: 1.0-2.0) and frail (OR = 3.2; 95% CI: 1.3-7.4) than those without URE using the 4-item phenotype. For the 2,486 participants with 5-item phenotype data, individuals with URE were more likely to be frail (OR = 3.0; 95% CI: 1.2-7.5); however, the association with prefrailty was not statistically significant (OR = 1.8; 95% CI: 0.9-3.6).Conclusion: In this population-based sample, older adults with URE were more likely to be frail than those without URE, even after rigorous control for confounders, including age.

Frailty and Multimorbidity: A Systematic Review and Meta-analysis

BACKGROUND

Multimorbidity and frailty are complex syndromes characteristics of aging. We reviewed the literature and provided pooled estimations of any evidence regarding (a) the coexistence of frailty and multimorbidity and (b) their association.

METHODS

We searched PubMed and Web of Science for relevant articles up to September 2017. Pooled estimates were obtained through random effect models and Mantel-Haenszel weighting. Homogeneity (I2), risk of bias, and publication bias were assessed. PROSPERO registration: 57890.

RESULTS

A total of 48 studies involving 78,122 participants were selected, and 25 studies were included in one or more meta-analyses. Forty-five studies were cross-sectional and 3 longitudinal, with the majority of them including community-dwelling participants (n = 35). Forty-three studies presented a moderate risk of bias and five a low risk. Most of the articles defined multimorbidity as having two or more diseases and frailty according to the Cardiovascular Health Study criteria. In meta-analyses, the prevalence of multimorbidity in frail individual was 72% (95% confidence interval = 63%-81%; I2 = 91.3%), and the prevalence of frailty among multimorbid individuals was 16% (95% confidence interval = 12%-21%; I2 = 96.5%). Multimorbidity was associated with frailty in pooled analyses (odds ratio = 2.27; 95% confidence interval = 1.97-2.62; I2 = 47.7%). The three longitudinal studies suggest a bidirectional association between multimorbidity and frailty.

CONCLUSIONS

Frailty and multimorbidity are two related conditions in older adults. Most frail individuals are also multimorbid, but fewer multimorbid ones also present frailty. Our findings are not conclusive regarding the causal association between the two conditions. Further longitudinal and well-designed studies may help to untangle the relationship between frailty and multimorbidity.

Biopsychosocial factors associated with the frailty and pre-frailty among older adults

Frailty is a multidimensional geriatric syndrome associated with specific biopsychosocial factors in each population. This was a cross-sectional observational study designed to determine the biopsychosocial factors associated with frailty and pre-frailty in older adults in a community in Salvador, Brazil. The stages of frailty were collected in 413 older adults: 34.9% frail, 54.5% pre-frail, 10.6% robust. In the multinomial regression model, age (p = .018), functionality for instrumental activities of daily living (p = .026), risk for falls (p = .006), family functionality (p = .031) and the physical domain of quality of life (p = .004) had an independent association with frailty. Risk for falls (p = .004), family functionality (p = .004) and the environment domain of quality of life (p = .037) were independently associated with pre-frailty. The findings provide support to interventions in a way that contributes to prevention or reversal of frailty.

Instruments for the detection of frailty syndrome in older adults: A systematic review

Frailty is a dynamic process in which there is a reduction in the physical, psychological and/or social function associated with aging. The aim of this study was to identify instruments for the detection of frailty in older adults, characterizing their components, application scenarios, ability to identify pre-frailty and clinimetric properties evaluated. The study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), under registration number CRD42017039318. A total of 14 electronic sources were searched to identify studies that investigated instruments for the detection of frailty or that presented the construction and/or clinimetric evaluation of the instrument, according to criteria established by the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). 96 studies were included in the qualitative synthesis: 51 instruments for the detection of frailty were identified, with predominantly physical domains; 40 were constructed and/or validated for use in the older adult community population, 28 only highlighted the distinction between frail and non-frail individuals and 23 presented three or more levels of frailty. The FRAGIRE, FRAIL Scale, Edmonton Frail Scale and IVCF-20 instruments were the most frequently analyzed in relation to clinimetric properties. It was concluded that: (I) there is a large number of instruments for measuring the same construct, which makes it difficult for researchers and clinicians to choose the most appropriate; (II) the FRAGIRE and CFAI stand out due to their multidimensional aspects, including an environmental assessment; however, (III) the need for standardization of the scales was identified, since the use of different instruments in clinical trials may prevent the comparability of the results in systematic reviews and; (IV) considering the different instruments identified in this review, the choice of researchers/clinicians should be guided by the issues related to the translation and validation for their location and the suitability for their context.

Current situation of frailty screening tools for older adults

Frailty is a geriatric syndrome associated with adverse outcomes such as falls, disability, and mortality. Frailty is common and contributes to rising health care costs. Early screening and timely tailored intervention may effectively prevent or delay the adverse outcomes in older adults. Studies on frailty and its specific measurement tools are increasing in number, but the debate on the screening instruments remains. Currently, self-reported screening tools can identify frailty and predict the risk of adverse outcomes in older adults. Because they are easy to use and quickly provide information, self-reported frailty screening tools have significant implication in primary care settings and clinics. We reviewed the frailty screening instruments in older adults and proposed a two-step pathway for frailty identification, and to manage declines in intrinsic capacity as well as boost resilience.

Development and Validation of a Self-Administered Multidimensional Prognostic Index to Predict Negative Health Outcomes in Community-Dwelling Persons

The multidimensional prognostic index (MPI) is a comprehensive geriatric assessment (CGA)-based tool that accurately predicts negative health outcomes in older subjects with different diseases and settings. To calculate the MPI several validated tools are assessed by health care professionals according to the CGA, whereas self-reported information by the patients is not available, but it could be of importance for the early identification of frailty. We aimed to develop and validate a self-administered MPI (SELFY-MPI) in community-dwelling subjects. For this reason, we enrolled 167 subjects (mean age = 67.3, range = 20–88 years, 51% = men). All subjects underwent a CGA-based assessment to calculate the MPI and the SELFY-MPI. The SELFY-MPI included the assessment of (1) basic and instrumental activities of daily living, (2) mobility, (3) memory, (4) nutrition, (5) comorbidity, (6) number of medications, and (7) socioeconomic situation. The Bland–Altman methodology was used to measure the agreement between MPI and SELFY-MPI. The mean MPI and SELFY-MPI values were 0.147 and 0.145, respectively. The mean difference was +0.002 ± standard deviation of 0.07. Lower and upper 95% limits of agreement were −0.135 and +0.139, respectively, with only 5 of 167 (3%) of observations outside the limits. Stratified analysis by age provided similar results for younger (≤65 years old, n = 45) and older subjects (>65 years, n = 122). The analysis of variances in subjects subdivided according to different year decades showed no differences of agreement according to age. In conclusion, the SELFY-MPI can be used as a prognostic tool in subjects of different ages.

Multicomponent Frailty Assessment Tools for Older People with Psychiatric Disorders: A Systematic Review

OBJECTIVE

To review evidence evaluating the use of multicomponent frailty assessment tools in assessing frailty in older adults with psychiatric disorders.

METHODS

A systematic literature review was conducted to identify all multicomponent frailty assessment tools (ie, a tool that assesses two or more indicators of frailty). The items of each frailty assessment tool were compared with Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) diagnostic criteria for psychiatric disorders to assess construct overlap. Studies conducted in community, inpatient, and outpatient clinical settings were considered for inclusion.

PARTICIPANTS

Adults aged 60 years or older.

RESULTS

A total of 5639 records were identified following the removal of duplicates, from which 95 studies were included for review. Of the 48 multicomponent frailty assessment tools identified, no tool had been developed for, or validated in, older adult populations with a psychiatric disorder. Overall, 20 of 48 frailty assessment tools contained a psychological assessment domain, with 17 of 48 tools citing the presence of depressed mood and/or anxiety as a frailty indicator. Common areas of construct overlap in frailty assessment tools and DSM-5 diagnostic criteria included weight loss (29 of 48) and fatigue (21 of 48).

CONCLUSIONS

Significant construct overlap exists between the indicators of frailty as conceptualized in existing frailty assessment tools and DSM-5 diagnostic criteria for common psychiatric disorders including major depressive episode and generalized anxiety disorder that has the potential to confound frailty assessment results. Further research is necessary to establish a reliable and valid tool to assess frailty in this population. J Am Geriatr Soc 67:1085-1095, 2019.

The prevalence of benzodiazepines utilization and its association with falls among Saudi older adults; results from the Saudi national survey for elderly Health (SNSEH)

PURPOSE

First, to determine benzodiazepines prevalence (BDZs) among Saudi older adults (SOA); Second, to quantify the association between BDZs use and falls among SOA. Third, to determine falls effect on all-cause mortality among SOA.

METHODS

This is a cross-sectional study that used the Saudi National Survey for Elderly Health; a nationally-representative, population-based survey. Participants were asked about BDZs use and falls history during the 12 months prior to the interview. Demographics, medications, comorbidities and housing conditions were used as covariates. Multiple imputation was used to impute missing data. Modified poisson multivariable regression was used to study the association between BDZs and falls. Cox- proportional hazard regression was used to determine falls effect on mortality over nine years period.

RESULTS

Among 2946 SOA, BDZs prevalence was 4%. Around 13% reported falls. In the multivariable regression, relative risk (RR) of falls was 2 comparing BDZs users to non-users (95CI%: 1.02-3.99). Antidepressants (RR = 1.72; 95%CI: 1.10-2.74), laxatives (RR = 1.38; 95%CI: 1.11-1.7), low body mass index (RR = 1.94; 95%CI: 1.33-2.84), mild cognitive impairment (RR = 1.56; 95%CI: 1.21-2.03), high door steps (RR = 1.54; 95%CI: 1.23-1.93) and insufficient illumination (RR = 1.38; 95%CI: 1.11-1.71) increased falls risk. Lastly, the hazard ratio of falls on death was 1.48 (95%CI: 1.17, 1.89) over nine years.

CONCLUSION

Despite the recommendation against BDZs use among older adults, still there were subjects who were prescribed these drugs. falls are common among SOA. Preventive strategies such medication therapy management, nutrition improvement, elderly-friendly housing structures can reduce the prevalence of falls and consequent increase in mortality among SOA.

Genetic Insights Into Frailty: Association of 9p21-23 Locus With Frailty

Frailty is a complex aging phenotype associated with increased vulnerability to disability and death. Understanding the biological antecedents of frailty may provide clues to healthy aging. The genome-wide association study hotspot, 9p21-23 region, is a risk locus for a number of age-related complex disorders associated with frailty. Hence, we conducted an association study to examine whether variations in 9p21-23 locus plays a role in the pathogenesis of frailty in 637 community-dwelling Ashkenazi Jewish adults aged 65 and older enrolled in the LonGenity study. The strongest association with frailty (adjusted for age and gender) was found with the SNP rs518054 (odds ratio: 1.635, 95% CI = 1.241-2.154; p-value: 4.81 × 10^-04) intergenic and located between LOC105375977 and C9orf146. The prevalence of four SNPs (rs1324192, rs7019262, rs518054, and rs571221) risk alleles haplotype in this region was significantly higher (compared with other haplotypes) in frail older adults compared with non-frail older adults (29.7 vs. 20.8%, p = 0.0005, respectively). Functional analyses using in silico approaches placed rs518054 in the CTCF binding site as well as DNase hypersensitive region. Furthermore, rs518054 was found to be in an enhancer site of NFIB gene located downstream. NFIB is a transcription factor that promotes cell differentiation during development, has antiapoptotic effect, maintains stem cell populations in adult tissues, and also acts as epigenetic regulators. Our study found novel association of SNPs in the regulatory region in the 9p21-23 region with the frailty phenotype; signifying the importance of this locus in aging.

Substitution of Fried's performance-based physical frailty criteria with self-report questions

OBJECTIVE

To identify self-report questions that can substitute Fried's performance-based frailty measures for use in large-scale studies and daily practice.

METHODS

A cross-sectional study was conducted among community dwelling older people (65+). Based on a literature search and interviews with older people and experts, 11 questions concerning walk time and 10 on handgrip strength were selected. All participants completed these sets of self-report questions as well as the original Fried criteria (including performance-based tests). Regression analyses were performed to find the questions that best substituted the performance-based tests.

RESULTS

In total, 135 individuals (mean age 73.8±7.0, 58.5% female) in different stages of frailty (non-frail 38.5%, pre-frail 40.7%, frail 20.7%) were included. Regression analyses revealed four questions for walk time and two for handgrip strength. Cut-off values of three for walk time (range 0-5) and one for handgrip strength (range 0-3) seem most optimal. This resulted in a sensitivity of 69.2%, 86.1% specificity and 79.4% agreement for walk time and a sensitivity of 73.2%, 71.3% specificity and 71.9% agreement for handgrip strength. The comparison of frailty stages using frailty criteria including the performance-based measures and scores based solely on self-report questions, resulted in an observed agreement of 71.1% (kappa value=0.55).

CONCLUSIONS

Considering the agreement between the questions and the performance-based tests, these two sets of questions might be used in settings where the performance-based tests of walk time and handgrip strength are unfeasible, such as in daily practice and large-scale research.

Symptoms of Apathy Independently Predict Incident Frailty and Disability in Community-Dwelling Older Adults

OBJECTIVE

Although depressive symptoms are widely recognized as a predictor of functional decline among older adults, little is known about the predictive utility of apathy in this population. We prospectively examined apathy symptoms as predictors of incident slow gait, frailty, and disability among non-demented, community-dwelling older adults.

METHODS

We examined 2 independent prospective cohort studies-the LonGenity study (N = 625, 53% women, mean age = 75.2 years) and the Central Control of Mobility in Aging (CCMA) study (N = 312, 57% women, mean age = 76.4 years). Individuals were recruited from 2008 to 2014. Apathy was assessed using 3 items from the Geriatric Depression Scale. Slow gait was defined as 1 standard deviation or more below age- and sex-adjusted mean values, frailty was defined using the Cardiovascular Health Study criteria, and disability was assessed with a well-validated disability scale.

RESULTS

The prevalence of apathy was 20% in the LonGenity cohort and 26% in the CCMA cohort. The presence of apathy at baseline, independent of depressive symptoms (besides apathy), increased the risk of developing incident slow gait (hazard ratio [HR] = 2.10; 95% CI, 1.36-3.24; P = .001), frailty (HR = 2.86; 95% CI, 1.96-4.16; P < .001), and disability (HR = 3.43; 95% CI, 1.73-6.79; P < .001) in the pooled sample. These associations remained significant when accounting for demographics, medical illnesses, and cognitive function.

CONCLUSIONS

Apathy is associated with increased risk of developing slow gait, frailty, and disability, independent of other established risk factors, in non-demented older adults. Apathy should be screened for as a potentially preventable cause of functional decline in clinical psychiatric settings.

Psychometric properties of multicomponent tools designed to assess frailty in older adults: A systematic review

BACKGROUND

Frailty is widely recognised as a distinct multifactorial clinical syndrome that implies vulnerability. The links between frailty and adverse outcomes such as death and institutionalisation have been widely evidenced. There is currently no gold standard frailty assessment tool; optimizing the assessment of frailty in older people therefore remains a research priority. The objective of this systematic review is to identify existing multi-component frailty assessment tools that were specifically developed to assess frailty in adults aged ≥60 years old and to systematically and critically evaluate the reliability and validity of these tools.

METHODS

A systematic literature review was conducted using the standardised COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist to assess the methodological quality of included studies.

RESULTS

Five thousand sixty-three studies were identified in total: 73 of which were included for review. 38 multi-component frailty assessment tools were identified: Reliability and validity data were available for 21 % (8/38) of tools. Only 5 % (2/38) of the frailty assessment tools had evidence of reliability and validity that was within statistically significant parameters and of fair-excellent methodological quality (the Frailty Index-Comprehensive Geriatric Assessment [FI-CGA] and the Tilburg Frailty Indicator [TFI]).

CONCLUSIONS

The TFI has the most robust evidence of reliability and validity and has been the most extensively examined in terms of psychometric properties. However, there is insufficient evidence at present to determine the best tool for use in research and clinical practice. Further in-depth evaluation of the psychometric properties of these tools is required before they can fulfil the criteria for a gold standard assessment tool.

Fried phenotype of frailty: cross-sectional comparison of three frailty stages on various health domains

Background

The population ageing in most Western countries leads to a larger number of frail older people. These frail people are at an increased risk of negative health outcomes, such as functional decline, falls, institutionalisation and mortality. Many approaches are available for identifying frailty among older people. Researchers most often use Fried and colleagues’ description of the frailty phenotype. The authors describe five physical criteria. Other researchers prefer a combination of measurements in the social, psychological and/or physical domains. The aim of this study is to describe the levels of social, psychological and physical functioning according to Fried’s frailty stages using a large cohort of Dutch community-dwelling older people.

Methods

There were 8,684 community-dwelling older people (65+) who participated in this cross-sectional study. Based on the five Fried frailty criteria (weight loss, exhaustion, low physical activity, slowness, weakness), the participants were divided into three stages: non-frail (score 0), pre-frail (score 1–2) and frail (score 3–5). These stages were related to scores in the social (social network type, informal care use, loneliness), psychological (psychological distress, mastery, self-management) and physical (chronic diseases, GARS IADL-disability, OECD disability) domains.

Results

63.2 % of the participants was non-frail, 28.1 % pre-frail and 8.7 % frail. When comparing the three stages of frailty, frail people appeared to be older, were more likely to be female, were more often unmarried or living alone, and had a lower level of education compared to their pre-frail and non-frail counterparts. The difference between the scores in the social, psychological and physical domains were statistically significant between the three frailty stages. The most preferable scores came from the non-frail group, and least preferable scores were from the frail group. For example use of informal care: non-frail 3.9 %, pre-frail 23.8 %, frail 60.6 %, and GARS IADL-disability mean scores: non-frail 9.2, pre-frail 13.0, frail 19.7.

Conclusion

When older people were categorised according to the three frailty stages, as described by Fried and colleagues, there were statistically significant differences in the level of social, psychological and physical functioning between the non-frail, pre-frail and frail persons. Non-frail participants had consistently more preferable scores compared to the frail participants. This indicated that the Fried frailty criteria could help healthcare professionals identify and treat frail older people in an efficient way, and provide indications for problems in other domains.

Determinants of frailty: the added value of assessing medication

This study aims to analyze which determinants predict frailty in general and each frailty domain (physical, psychological, and social), considering the integral conceptual model of frailty, and particularly to examine the contribution of medication in this prediction. A cross-sectional study was designed using a non-probabilistic sample of 252 community-dwelling elderly from three Portuguese cities. Frailty and determinants of frailty were assessed with the Tilburg Frailty Indicator. The amount and type of different daily-consumed medication were also examined. Hierarchical regression analysis were conducted. The mean age of the participants was 79.2 years (±7.3), and most of them were women (75.8%), widowed (55.6%) and with a low educational level (0-4 years: 63.9%). In this study, determinants explained 46% of the variance of total frailty, and 39.8, 25.3, and 27.7% of physical, psychological, and social frailty respectively. Age, gender, income, death of a loved one in the past year, lifestyle, satisfaction with living environment and self-reported comorbidity predicted total frailty, while each frailty domain was associated with a different set of determinants. The number of daily-consumed drugs was independently associated with physical frailty, and the consumption of medication for the cardiovascular system and for the blood and blood-forming organs explained part of the variance of total and physical frailty. The adverse effects of polymedication and its direct link with the level of comorbidities could explain the independent contribution of the amount of prescribed drugs to frailty prediction. On the other hand, findings in regard to medication type provide further evidence of the association of frailty with cardiovascular risk. In the present study, a significant part of frailty was predicted, and the different contributions of each determinant to frailty domains highlight the relevance of the integral model of frailty. The added value of a simple assessment of medication was considerable, and it should be taken into account for effective identification of frailty.

Screening for frailty in older adults using a self-reported instrument

OBJECTIVE To validate a screening instrument using self-reported assessment of frailty syndrome in older adults. METHODS This cross-sectional study used data from the Saúde, Bem-estar e Envelhecimento study conducted in Sao Paulo, SP, Southeastern Brazil. The sample consisted of 433 older adult individuals (≥ 75 years) assessed in 2009. The self-reported instrument can be applied to older adults or their proxy respondents and consists of dichotomous questions directly related to each component of the frailty phenotype, which is considered the gold standard model: unintentional weight loss, fatigue, low physical activity, decreased physical strength, and decreased walking speed. The same classification proposed in the phenotype was utilized: not frail (no component identified); pre-frail (presence of one or two components), and frail (presence of three or more components). Because this is a screening instrument, "process of frailty" was included as a category (pre-frail and frail). Cronbach's α was used in psychometric analysis to evaluate the reliability and validity of the criterion, the sensitivity, the specificity, as well as positive and negative predictive values. Factor analysis was used to assess the suitability of the proposed number of components. RESULTS Decreased walking speed and decreased physical strength showed good internal consistency (α = 0.77 and 0.72, respectively); however, low physical activity was less satisfactory (α = 0.63). The sensitivity and specificity for identifying pre-frail individuals were 89.7% and 24.3%, respectively, while those for identifying frail individuals were 63.2% and 71.6%, respectively. In addition, 89.7% of the individuals from both the evaluations were identified in the "process of frailty" category. CONCLUSIONS The self-reported assessment of frailty can identify the syndrome among older adults and can be used as a screening tool. Its advantages include simplicity, rapidity, low cost, and ability to be used by different professionals.

Frailty in NHANES: Comparing the frailty index and phenotype

The two most commonly employed frailty measures are the frailty phenotype and the frailty index. We compared them to examine whether they demonstrated common characteristics of frailty scales, and to examine their association with adverse health measures including disability, self-reported health, and healthcare utilization. The study examined adults aged 50+ (n=4096) from a sequential, cross-sectional sample (2003-2004; 2005-2006), National Health and Nutrition Examination Survey. The frailty phenotype was modified from a previously adapted version and a 46-item frailty index was created following a standard protocol. Both measures demonstrated a right-skewed distribution, higher levels of frailty in women, exponential increase with age and associations with high healthcare utilization and poor self-reported health. More people classified as frail by the modified phenotype had ADL disability (97.8%) compared with the frailty index (56.6%) and similarly for IADL disability (95% vs. 85.6%). The prevalence of frailty was 3.6% using the modified frailty phenotype and 34% using the frailty index. Frailty index scores in those who were classified as robust by the modified phenotype were still significantly associated with poor self-reported health and high healthcare utilization. The frailty index and the modified frailty phenotype each confirmed previously established characteristics of frailty scales. The agreement between frailty and disability was high with each measure, suggesting that frailty is not simply a pre-disability stage. Overall, the frailty index classified more people as frail, and suggested that it may have the ability to discriminate better at the lower to middle end of the frailty continuum.

[Screening the risk for functional loss: a basic strategy for organizing the elderly health care network]

From a critical analysis of experiments in the use of screening tools for functional loss in the elderly, it was observed that the main motivation to develop and implement a screening instrument is to improve health care for the frail elderly or those at risk of functional loss and repeated hospital admissions. The instruments are preferably short questionnaires with no more than 16 self-reported questions. The main intervention performed after screening was monitoring the elderly by a specialized nursing service that, when necessary, referring them to the medical service. The results of this approach included the reduction of functional loss, hospital admissions, deaths, lower health expenses and greater consumer satisfaction.

Predicting risk of hospital and emergency department use for home care elderly persons through a secondary analysis of cross-national data

BACKGROUND

Older adults remain the highest utilization group with unplanned visits to emergency departments and hospital admissions. Many have considered what leads to this high utilization and the answers provided have depended upon the independent measures available in the datasets used. This project was designed to further understanding of the reasons for older adult ED visits and admissions to acute care hospitals.

METHODS

A secondary analysis of data from a cross-national sample of community residing elderly, 60 years of age or older, and most of whom received services from a local home-care program was conducted. The assessment instrument used in this study is the interRAI HC (home care), designed for use in assessing elderly home care recipients. The model specification stage of the study identified the baseline independent variables that do and do not predict the follow-up measure of hospitalization and ED use. Stepwise logistic regression was used next to identify characteristics that best identified elders who subsequently entered a hospital or visited an ED. The items generated from the final multivariate logistic equation using the interRAI home care measures comprise the interRAI Hospital-ED Risk Index.

RESULTS

Independent measures in three key domains of clinical complications, disease diagnoses and specialized treatments were related to subsequent hospitalization or ED use. Among the eighteen clinical complication measures with higher, meaningful odds ratios are pneumonia, urinary tract infection, fever, chest pain, diarrhea, unintended weight loss, a variety of skin conditions, and subject self-reported poor health. Disease diagnoses with a meaningful relationship with hospital/ED use include coronary artery disease, congestive heart failure, cancer, emphysema and renal failure. Specialized treatments with the highest odds ratios were blood transfusion, IV infusion, wound treatment, radiation and dialysis. Two measures, Alzheimer's disease and day care appear to have a protective effect for hospitalization/ED use with lower odds ratios.

CONCLUSIONS

Examination into "preventable" hospitalizations and re-hospitalizations for older adults who have the highest rates of utilization are occurring beneath an umbrella of assuring the highest quality of care and controlling costs. The interRAI Hospitalization-ED Risk Index offers an effective approach to predicting hospitalization utilization among community dwelling older adults.

The prediction of disability by self-reported physical frailty components of the Tilburg Frailty Indicator (TFI)

Disability is an important health outcome for older persons; it is associated with impaired quality of life, future hospitalization, and mortality. Disability also places a high burden on health care professionals and health care systems. Disability is regarded as an adverse outcome of physical frailty. The main objective of this study was to assess the predictive validity of the eight individual self-reported components of the physical frailty subscale of the TFI for activities of daily living (ADL) and instrumental activities of daily living (IADL) disability. This longitudinal study was carried out with a sample of Dutch citizens. At baseline the sample consisted at 429 people aged 65 years and older and a subset of all respondents participated again two and a half years later (N=355, 83% response rate). The respondents completed a web-based questionnaire comprising the TFI and the Groningen Activity Restriction Scale (GARS) for measuring disability. Five components together (unintentional weakness, weakness, poor endurance, slowness, low physical activity), referring to the phenotype of Fried et al., predicted disability, even after controlling for previous disability and other background characteristics. The other three components of the physical frailty subscale of the TFI (poor balance, poor hearing, poor vision) together did not predict disability. Low physical activity predicted both total and ADL disability, and slowness both total and IADL disability. In conclusion, self-report assessment using the physical subscale of the TFI aids the prediction of future ADL and IADL disability in older persons two and a half years later.

Comparison of self-report-based and physical performance-based frailty definitions among patients receiving maintenance hemodialysis

BACKGROUND

A well-accepted definition of frailty includes measurements of physical performance, which may limit its clinical utility.

STUDY DESIGN

In a cross-sectional study, we compared prevalence and patient characteristics based on a frailty definition that uses self-reported function to the classic performance-based definition and developed a modified self-report-based definition.

SETTING & PARTICIPANTS

Prevalent adult patients receiving hemodialysis in 14 centers around San Francisco and Atlanta in 2009-2011.

INDEX TESTS

Self-report-based frailty definition in which a score lower than 75 on the Physical Function scale of the 36-Item Short Form Health Survey (SF-36) was substituted for gait speed and grip strength in the classic definition; modified self-report definition with optimized Physical Function score cutoff points derived in a development (one-half) cohort and validated in the other half.

REFERENCE TEST

Performance-based frailty defined as 3 of the following: weight loss, weakness, exhaustion, low physical activity, and slow gait speed.

RESULTS

387 (53%) patients were frail based on self-reported function, of whom 209 (29% of the cohort) met the performance-based definition. Only 23 (3%) met the performance-based definition of frailty only. The self-report definition had 90% sensitivity, 64% specificity, 54% positive predictive value, 93% negative predictive value, and 72.5% overall accuracy. Intracellular water per kilogram of body weight and serum albumin, prealbumin, and creatinine levels were highest among nonfrail individuals, intermediate among those who were frail by self-report, and lowest among those who also were frail by performance. Age, percentage of body fat, and C-reactive protein level followed an opposite pattern. The modified self-report definition had better accuracy (84%; 95% CI, 79%-89%) and superior specificity (88%) and positive predictive value (67%).

LIMITATIONS

Our study did not address prediction of outcomes.

CONCLUSIONS

Patients who meet the self-report-based but not the performance-based definition of frailty may represent an intermediate phenotype. A modified self-report definition can improve the accuracy of a questionnaire-based method of defining frailty.

Participation bias in postal surveys among older adults: the role played by self-reported health, physical functional decline and frailty

Postal survey is a simple and efficient way to collect information in large study samples. The purpose of this study was to find out differences between older adults who responded to a postal survey on health outcomes and those who did not, and to examine the importance of frailty, physical functional decline and poor self-reported health in determining non-response. We mailed out a questionnaire on general health twice at a year's interval to 1000 individuals ≥60 years, and members of the medical insurance scheme of the French national education system. At Year1, 535 persons responded to the questionnaire (65% women, 70.9 ± 8.4 years). A year later (Year2), we obtained 384 responses (63.3% women, 70.5 ± 7.8 years). Compared to respondents, non-respondents at Year2 were more frequently categorized as frail, reported more often to be in bad health, and had more physical functional declines. Frailty, physical functional decline and poor self-reported health increased the likelihood of not responding to Year2 questionnaire, with poor self-reported health weakening the association of physical functional decline and non-response. Respondents of this postal survey are fitter and healthier than non-respondents. This participation bias precludes the generalization of postal surveys results.