Components of the Frailty Phenotype in Relation to the Frailty Index: Results From the Toulouse Frailty Platform

National Norms for Hospital Frailty Risk Score Among Hospitalized Adults in the USA

BACKGROUND

Frailty among inpatients increases risk for hospital-associated disability and death. Yet, frailty is not regularly screened in acute care due to the lack of standardized methods, the complexity of frailty, and time and energy required of hospital personnel. Thus, screening with routinely collected data provides an opportunity to assess frailty across inpatient populations.

OBJECTIVE

To calculate normative values for Hospital Frailty Risk Score (HFRS) among adult inpatients in the USA based on age, sex, and race.

DESIGN

A retrospective cross-sectional analysis of the 2018 National Inpatient Sample (NIS) database.

PATIENTS

US adult inpatients aged 18y + with a focus on patients aged at least 45.

MAIN MEASURES

Hospital Frailty Risk Score (HFRS) is a validated measure that uses ICD-10 codes to calculate frailty risk among hospitalized patients.

KEY RESULTS

Mean HFRS significantly increased with increasing age across sex and race (p < 0.001). Among the oldest age groups 65y + , mean and median normative values were similar between male and female inpatients (mean HFRS range, 6.71-9.62; median HFRS range, 5.40-8.70), and Black inpatients had the highest frailty risk compared to other races (mean HFRS range = 7.56-10.47; median HFRS range = 6.30-9.50). Asian/Pacific Islander inpatients had similar frailty risk to Black inpatients among those 90y + (mean HFRS = 10.48; median HFRS = 9.50).

CONCLUSIONS

The US national norms for HFRS provide a standardized reference tool for comparing frailty risk among clinical and research inpatient populations to a typical hospitalized adult for their age, sex, and race.

Gait kinematic and kinetic characteristics among older adults with varying degrees of frailty: a cross-sectional study

The aim of this study was to investigate the differences in gait kinematics and kinetics among pre-frail, frail, and non-frail older adults during routine walking tasks. A total of 106 older adult participants were classified into frail, pre-frail, and non-frail groups based on the Fried frailty scale. Kinematic and kinetic data were acquired via a three-dimensional gait analysis system. Multivariate analysis of covariance (MANCOVA) was employed to assess the differences in gait kinematics and kinetics among the groups, followed by Bonferroni post-hoc tests. MANCOVA revealed significant differences in peak ankle plantar flexion, ankle range of motion (ROM), knee heel strike angle, and hip toe-off angle among the groups on the right side (P < 0.002). On the left side, significant differences were found in peak ankle plantar flexion, ankle ROM, and hip toe-off angle (P < 0.002). However, no significant differences in gait kinetics were observed among the three groups (P > 0.002). There is a weak correlation between gait kinematic parameters and dynamic postural stability. Compared with non-frail individuals, frail older adults reduced peak ankle plantar flexion, ankle ROM, and knee heel strike angle during walking. In contrast, the hip toe-off angle was found to be increased in the frail group.

Gait speed assessment in confined spaces: Development of a novel automated 4-m static-start test to measure dynamic-start gait speed

OBJECTIVES

To promote standardization and feasible measurements of gait speed across the field, we developed a device that used light detection and ranging (LiDAR) technology to measure gait speed from a standing-start testing procedure conducted on a 4-m total walkway. We compared this automated (LiDAR-based) standing-start 4-m gait speed test (AS-4MG) with automated and manual (stopwatch-based) dynamic-start 4-m gait speed tests (AD-4MG and MD-4MG, respectively) on between-method agreement, measurement repeatability, and predictive validity with functional outcomes.

METHODS

A sample of 48 community-dwelling adults (mean [SD], 69 [9] years) participated in this method comparison study. Participants completed a survey and a physical function assessment, from which self-reported stair difficulty, handgrip strength, sit-to-stand performance, and gait speed (AS-, AD-, and MD-4MG) were measured.

RESULTS

Mean AS-4MG, AD-4MG, and MD-4MG were 1.12, 1.13, and 1.14 m/s, respectively, with a strong correlation (r = 0.94) and no systematic bias observed between AS-4MG and the referent AD-4MG. In the analyses of repeated gait measurements, coefficients of repeatability were <0.20 m/s for the automated tests (0.16 and 0.18 m/s for AS-4MG and AD-4MG, respectively) but not for MD-4MG (0.22 m/s). Correlations between gait speed and functional measures ranged between 0.44 and 0.68 (Ps < 0.01). Correlations for the automated tests were comparable, while AS-4MG correlations tended to exceed MD-4MG correlations.

CONCLUSIONS

In community-dwelling adults, the AS-4MG test was unbiased when compared with the AD-4MG, encompassing a 9-m walkway, with both tests showing equivalence of measurement repeatability and predictive validity. The AS-4MG potentially allows gait measurements in confined spaces (e.g., doctor's office) where the gait speed test was previously unfeasible. Geriatr Gerontol Int 2025; 25: 449-453.

Frailty assessment in geriatric trauma patients: comparing the predictive value of the full and a condensed version of the Fried frailty phenotype

BACKGROUND

Frailty is associated with multiple negative outcomes in geriatric trauma patients. Simultaneously, frailty assessment including physical measurements for weakness (grip strength) and slowness (gait speed) poses challenges in this vulnerable patient group. We aimed to compare the full 5-component Fried Frailty Phenotype (fFP) and a condensed model (cFP) without physical measurements, with regard to predicting hospital length of stay (LOS) and discharge disposition (DD).

METHODS

Prospective cohort study in patients aged 70 years and older at a level I trauma center undergoing frailty assessment by 5-component fFP (fatigue, low activity level, weight loss, weakness, and slowness). For the cFP, only fatigue, low activity level and weight loss were included. Co-primary outcomes were LOS and DD.

RESULTS

In 233 of 366 patients, information on all 5 frailty components was available (mean age 81.0 years [SD 6.7], 57.8% women) and included in our comparative analysis. Frailty prevalence was 25.1% and 3.1% by fFP and cFP, respectively. LOS did not differ significantly between frail and non-frail patients, neither using the fFP (p = .245) nor the cFP (p = .97). By the fFP, frail patients were 94% less likely to be discharged home independently (OR 0.06; 95% CI 0.007-0.50, p = .0097), while using cFP, none of the frail patients were discharged home independently.

CONCLUSION

The fFP appears superior in identifying frail trauma patients and predicting their discharge destination compared with the condensed version. LOS in this vulnerable patient group did not differ by either frailty phenotype even if compared with those identified as non-frail.

Associations of 2 Established Methods of Measuring Gait Speed and Sit-To-Stand Performance with Frailty and Life-Space Mobility in Community-Dwelling Older Adults

OBJECTIVES

The 4-m gait speed (4mGS) and 10-m gait speed (10mGS) tests and the 30-second sit-to-stand (30sSTS) and 5-times sit-to-stand (5xSTS) tests are commonly used and advocated in consensus recommendations. We compared these tests on their predictive and clinical value concerning the risk of prefrailty/frailty and restricted life-space mobility (RLSM).

DESIGN

Cross-sectional study.

SETTING AND PARTICIPANTS

A sample of 1235 community-dwelling adults (mean ± SD, 68 ± 7 years) participated in this prospective cohort study.

METHODS

At baseline assessment, participants completed a survey and functional assessment, from which gait speed, sit-to-stand performance, self-reported mobility limitation, 40-item Frailty Index, and Life Space Assessment were measured. Participants with a 40-item Frailty Index >0.15 and a Life Space Assessment <60 points were classified as having prefrailty/frailty and RLSM, respectively. At 1-year follow-up assessment, prefrailty/frailty and RLSM were evaluated.

RESULTS

Correlations between gait speed and sit-to-stand measures were high (ρ values >0.80). In multivariable ordinal models, these measures added incremental prognostic value beyond a base model comprising demographics and self-reported mobility limitation variables in predicting baseline and 1-year outcomes. Between 10mGS and 4mGS, models with 10mGS had higher concordance indices (differences, 0.005-0.009), and these differences translated to generally greater net benefit in decision curve analyses. Between 30sSTS and 5xSTS measures, no one measure consistently outperformed the other, with small net benefit differences between measures (<0.2%).

CONCLUSIONS AND IMPLICATIONS

In community-dwelling older adults, gait speed and sit-to-stand measures meaningfully predicted prefrailty/frailty and RLSM. 10mGS provided more robust prognostic information than the 4mGS, whereas 5xSTS and 30sSTS measures showed near equivalence of performance. These findings could guide the choice of functional measures in clinical and research settings.

Age-related effects on absolute and relative isokinetic knee extensor strength in community-dwelling older men and women at a French geriatric day hospital

PURPOSE

Isokinetic knee extensor strength is poorly evaluated in geriatric day hospitals (GDHs), despite its potential functional significance compared to grip strength. This study aimed to investigate age-related effects on absolute and relative isokinetic knee extensor peak torque (KEPT) data in community-dwelling older GDH patients.

METHODS

A total of 472 French GDH patients (179 men and 293 women, aged 75-94 years) participated in this study. Absolute and relative KEPT were measured at six distinct angular velocities between 0.52 and 3.14 rad/s. In addition, comfortable gait speed and grip strength were assessed. Participants were stratified by sex and age using 5-year intervals. One-way ANOVAs were used to examine age-related effects on KEPT values. Multiple linear regression models were employed to investigate the associations between gait speed and both mean KEPT values and grip strength, with separate models conducted on absolute and relative values.

RESULTS

The recruited GDH patients presented lower absolute and relative KEPT values in comparison with established reference values for healthy community-dwelling older individuals, with men being consistently stronger than women. Notably, there was a significant decline in both absolute and relative KEPT values beyond the age of 85 for both sexes. Importantly, the multiple linear regression analyses conducted revealed a significant positive relationship between gait speed and mean KEPT values, surpassing the association with grip strength.

CONCLUSIONS

These findings underscore the clinical importance of assessing isokinetic knee extensor strength in community-dwelling older GDH patients, particularly for tailoring personalized physical activity interventions.

Prevalence of Frailty Phenotypes in Older People Living with HIV: A Cross-Sectional Study from Brazil

BACKGROUND

Frailty may affect people living with HIV (PLHIV) prematurely. Fried's frailty phenotype, composed of 5 criteria, is one of the most used instruments for its assessment. This study aimed to determine the prevalence of these criteria among PLHIV classified as prefrail and frail in Brazil.

METHODS

A cross-sectional study analyzed the prevalence of the Frailty Phenotype in Brazil with 670 individuals aged ≥ 50 years and undetectable viral load.

RESULTS

The prevalence of prefrail and frail individuals was 50.7% and 13.6%, respectively. A low level of physical activity was the most prevalent criterion (50.9%). Except for unintentional weight loss, all other criteria were more prevalent among individuals with lower education levels. All criteria were more prevalent among individuals of lower socioeconomic status than among those of moderate or high status (P < .05).

CONCLUSIONS

A low level of physical activity was the component that most contributed to PLHIV being considered prefrail or frail.

Cellular senescence and frailty: a comprehensive insight into the causal links

Senescent cells may have a prominent role in driving inflammation and frailty. The impact of cellular senescence on frailty varies depending on the assessment tool used, as it is influenced by the criteria or items predominantly affected by senescent cells and the varying weights assigned to these items across different health domains. To address this challenge, we undertook a thorough review of all available studies involving gain- or loss-of-function experiments as well as interventions targeting senescent cells, focusing our attention on those studies that examined outcomes based on the individual frailty phenotype criteria or specific items used to calculate two humans (35 and 70 items) and one mouse (31 items) frailty indexes. Based on the calculation of a simple "evidence score," we found that the burden of senescent cells related to musculoskeletal and cerebral health has the strongest causal link to frailty. We deem that insight into these mechanisms may not only contribute to clarifying the role of cellular senescence in frailty but could additionally provide multiple therapeutic opportunities to help the future development of a desirable personalized therapy in these extremely heterogeneous patients.

Essential steps in primary care management of older people with Type 2 diabetes: an executive summary on behalf of the European geriatric medicine society (EuGMS) and the European diabetes working party for older people (EDWPOP) collaboration

We present an executive summary of a guideline for management of type 2 diabetes mellitus in primary care written by the European Geriatric Medicine Society, the European Diabetes Working Party for Older People with contributions from primary care practitioners and participation of a patient's advocate. This consensus document relies where possible on evidence-based recommendations and expert opinions in the fields where evidences are lacking. The full text includes 4 parts: a general strategy based on comprehensive assessment to enhance quality and individualised care plan, treatments decision guidance, management of complications, and care in case of special conditions. Screening for frailty and cognitive impairment is recommended as well as a comprehensive assessment all health conditions are concerned, including end of life situations. The full text is available online at the following address: essential_steps_inprimary_care_in_older_people_with_diabetes_-_EuGMS-EDWPOP___3_.pdf.

Spreading Senescent Cells' Burden and Emerging Therapeutic Targets for Frailty

The spreading of senescent cells' burden holds profound implications for frailty, prompting the exploration of novel therapeutic targets. In this perspective review, we delve into the intricate mechanisms underlying senescent cell spreading, its implications for frailty, and its therapeutic development. We have focused our attention on the emerging age-related biological factors, such as microbiome and virome alterations, elucidating their significant contribution to the loss of control over the accumulation rate of senescent cells, particularly affecting key frailty domains, the musculoskeletal system and cerebral functions. We believe that gaining an understanding of these mechanisms could not only aid in elucidating the involvement of cellular senescence in frailty but also offer diverse therapeutic possibilities, potentially advancing the future development of tailored interventions for these highly diverse patients.

Longitudinal association of edentulism with cognitive impairment, sarcopenia and all-cause mortality among older Chinese adults

BACKGROUND

Tooth loss may be a surrogate for systemic health and aging. However, no previous studies have systematically assessed multiple outcomes relevant to aging trajectory in this area, and many important confounders were not adjusted in most previous studies. This study aims to prospectively evaluate the associations of complete tooth loss (edentulism) with broad markers of sarcopenia, cognitive impairment and mortality.

METHODS

Data were derived from the China Health and Retirement Longitudinal Study, a nationally representative household study of the Chinese population aged 45 years and older. Multivariate Weibull proportional hazards regression was used to assess the association between edentulism with sarcopenia and all-cause mortality. Average changes in cognitive function by edentulism was estimated by mixed-effects linear regression models.

RESULTS

During the 5-year follow-up, the prevalence of edentulism among adults aged 45 and over was 15.4%. Participants with edentulism had a greater decline in cognitive function compared to those without (β=-0.70, 95%CI:-1.09, -0.31, P < 0.001). The association of edentulism and all-cause mortality for 45-64 age group (HR = 7.50, 95%CI: 1.99, 28.23, P = 0.003), but not statistically significant for the ≥ 65 age group (HR = 2.37, 95%CI: 0.97, 5.80, P = 0.057). Effects of edentulism on sarcopenia are statistically significant for all age groups (45-64 age group: HR = 2.15, 95%CI: 1.27, 3.66, P = 0.005; ≥65 age group: HR = 2.15, 95%CI: 1.27, 3.66, P = 0.002).

CONCLUSIONS

These findings could have important clinical and public health implications, as tooth loss is a quick and reproducible measurement that could be used in clinical practice for identifying persons at risk of accelerated aging and shortened longevity, and who may benefit most from intervention if causality is established.

Development and validation of a physical frailty phenotype index-based model to estimate the frailty index

BACKGROUND

The conventional count-based physical frailty phenotype (PFP) dichotomizes its criterion predictors-an approach that creates information loss and depends on the availability of population-derived cut-points. This study proposes an alternative approach to computing the PFP by developing and validating a model that uses PFP components to predict the frailty index (FI) in community-dwelling older adults, without the need for predictor dichotomization.

METHODS

A sample of 998 community-dwelling older adults (mean [SD], 68 [7] years) participated in this prospective cohort study. Participants completed a multi-domain geriatric screen and a physical fitness assessment from which the count-based PFP and the 36-item FI were computed. One-year prospective falls and hospitalization rates were also measured. Bayesian beta regression analysis, allowing for nonlinear effects of the non-dichotomized PFP criterion predictors, was used to develop a model for FI ("model-based PFP"). Approximate leave-one-out (LOO) cross-validation was used to examine model overfitting.

RESULTS

The model-based PFP showed good calibration with the FI, and it had better out-of-sample predictive performance than the count-based PFP (LOO-R2, 0.35 vs 0.22). In clinical terms, the improvement in prediction (i) translated to improved classification agreement with the FI (Cohen's kw, 0.47 vs 0.36) and (ii) resulted primarily in a 23% (95%CI, 18-28%) net increase in FI-defined "prefrail/frail" participants correctly classified. The model-based PFP showed stronger prognostic performance for predicting falls and hospitalization than did the count-based PFP.

CONCLUSION

The developed model-based PFP predicted FI and clinical outcomes more strongly than did the count-based PFP in community-dwelling older adults. By not requiring predictor cut-points, the model-based PFP potentially facilitates usage and feasibility. Future validation studies should aim to obtain clear evidence on the benefits of this approach.

Individual frailty phenotype components and mortality in adults with type 2 diabetes: A UK Biobank study

AIMS

This study aimed to explore associations between frailty components and mortality and rank prognostic relevance of each frailty component in predicting mortality in adults with and without type 2 diabetes (T2D).

METHODS

We used data from the UK Biobank. Associations and prognostic discrimination of individual Fried's frailty components and the overall frailty status with all-cause and cardiovascular (CVD) mortality were investigated using Cox proportional-hazard models and C-index in adults with and without T2D.

RESULTS

In both populations the strongest association with all-cause mortality across all frailty components and overall frailty status was observed for slow walking pace (without T2D Hazard Ratio [HR] 2.25, 95 %CI: 2.12-2.38 and with T2D HR 1.95, 95 %CI: 1.67-2.28). Similarly, slow walking pace was associated with a greater risk of CVD mortality. The combination of T2D and slow walking pace had the strongest association with all-cause and CVD mortality, compared to the combination of T2D and other frailty components or overall frailty status. Slow walking pace also provided the greatest prognostic discrimination.

CONCLUSION

Slow walking pace has a stronger predictive factor for all-cause and CVD mortality compared to other frailty components and overall frailty status, especially when simultaneously present with T2D.

Screening accuracy of percentage predicted gait speed for prefrailty/frailty in community-dwelling older adults

AIM

In order to account for the variability in gait speed due to demographic factors, an observed gait speed value can be compared with its predicted value based on age, sex, and body height (observed gait speed divided by predicted gait speed, termed "GS%predicted" henceforth). This study aimed to examine the screening accuracy of an optimal GS%predicted threshold for prefrailty/frailty.

METHODS

This cross-sectional study included 998 community-dwelling ambulant participants aged >50 years (mean age = 68 years). Participants completed a multi-domain geriatric screen and a physical fitness assessment, from which the 10-m habitual gait speed, GS%predicted, Physical Frailty Phenotype (PFP) index, and 36-item Frailty Index (FI) were computed.

RESULTS

Based on the FI, ~49% of participants had pre-frailty or frailty. The optimal threshold of GS%predicted (0.93) had greater screening accuracy than the 1.0 m/s fixed threshold for gait speed (AUC, 0.65 vs. 0.60; DeLong's P < 0.001). Replacing gait speed with GS%predicted in the PFP improved its overall discrimination (AUC, 0.70 vs. 0.67 of original PFP; DeLong's P < 0.001).

CONCLUSIONS

Defining a "slow" gait speed by a GS%predicted value of <0.93 provided greater screening accuracy than the traditional 1.0 m/s threshold for gait speed. Our results also support the use of GS%predicted-derived PFP to identify older adults at risk of prefrailty/frailty. Geriatr Gerontol Int 2022; ••: ••-••.

The ability of eight frailty instruments to identify adverse outcomes across different settings: the FRAILTOOLS project

BACKGROUND

To compare the performance of eight frailty instruments to identify relevant adverse outcomes for older people across different settings over a 12 month follow-up.

METHODS

Observational longitudinal prospective study of people aged 75 + years enrolled in different settings (acute geriatric wards, geriatric clinic, primary care clinics, and nursing homes) across five European cities. Frailty was assessed using the following: Frailty Phenotype, SHARE-FI, 5-item Frailty Trait Scale (FTS-5), 3-item FTS (FTS-3), FRAIL scale, 35-item Frailty Index (FI-35), Gérontopôle Frailty Screening Tool, and Clinical Frailty Scale. Adverse outcomes ascertained at follow-up were as follows: falls, hospitalization, increase in limitation in basic (BADL) and instrumental activities of daily living (IADL), and mortality. Sensitivity, specificity, and capacity to predict adverse outcomes in logistic regressions by each instrument above age, gender, and multimorbidity were calculated.

RESULTS

A total of 996 individuals were followed (mean age 82.2 SD 5.5 years, 61.3% female). In geriatric wards, the FI-35 (69.1%) and the FTS-5 (67.9%) showed good sensitivity to predict death and good specificity to predict BADL worsening (70.3% and 69.8%, respectively). The FI-35 also showed good sensitivity to predict BADL worsening (74.6%). In nursing homes, the FI-35 and the FTSs predicted mortality and BADL worsening with a sensitivity > 73.9%. In geriatric clinic, the FI-35, the FTS-5, and the FRAIL scale obtained specificities > 85% to predict BADL worsening. No instrument achieved high enough sensitivity nor specificity in primary care. All the instruments predict the risk for all the outcomes in the whole sample after adjusting for age, gender, and multimorbidity. The associations of these instruments that remained significant by setting were for BADL worsening in geriatric wards [FI-35 OR = 5.94 (2.69-13.14), FTS-3 = 3.87 (1.76-8.48)], nursing homes [FI-35 = 4.88 (1.54-15.44), FTS-5 = 3.20 (1.61-6.38), FTS-3 = 2.31 (1.27-4.21), FRAIL scale = 1.91 (1.05-3.48)], and geriatric clinic [FRAIL scale = 4.48 (1.73-11.58), FI-35 = 3.30 (1.55-7.00)]; for IADL worsening in primary care [FTS-5 = 3.99 (1.14-13.89)] and geriatric clinic [FI-35 = 3.42 (1.56-7.49), FRAIL scale = 3.27 (1.21-8.86)]; for hospitalizations in primary care [FI-35 = 3.04 (1.25-7.39)]; and for falls in geriatric clinic [FI-35 = 2.21 (1.01-4.84)].

CONCLUSIONS

No single assessment instrument performs the best for all settings and outcomes. While in inpatients several commonly used frailty instruments showed good sensitivities (mainly for mortality and BADL worsening) but usually poor specificities, the contrary happened in geriatric clinic. None of the instruments showed a good performance in primary care. The FI-35 and the FTS-5 showed the best profile among the instruments assessed.

Diagnostic accuracy of the frail scale plus functional measures for frailty screening

BACKGROUND

There is little knowledge of the diagnostic accuracy of screening programmes for frailty in primary care settings.

AIM

To assess a two-step strategy consisting of the administration of the FRAIL scale to those who are non-dependent, aged ≥75 years, followed-up by measurement of the Short Physical Performance Battery (SPPB) or gait speed in those who are positive.

DESIGN & SETTING

Cross-sectional and longitudinal cohort study. Analysis of primary care data from the FRAILTOOLS project at five European cities.

METHOD

All patients consecutively attending were enrolled. They received the index tests plus the Fried phenotype and the frailty index to assess their frailty status. Mortality and worsening of dependency in basic (BADL) and instrumental (IADL) activities of daily living over a year were ascertained.

RESULTS

Prevalence of frailty based on frailty phenotype was 14.9% in the 362 participants. A FRAIL scale score ≥1 had a sensitivity of 83.3% (95%CI:73.1-93.6) to detect frailty. A positive result and a SPPB score <11 had a sensitivity of 72.2% (95%CI: 59.9-84.6); when combined with a gait speed <1.1 m/s, the sensitivity was 80% (95%CI: 68.5-91.5). Two thirds of those screened as positive were not frail. In the best scenario, sensitivities of this last combination to detect IADL and BADL worsening were 69.4% (95%CI: 59.4-79.4) and 63.6% (95%CI: 53.4-73.9).

CONCLUSION

Combining the FRAIL scale with other functional measures offers an acceptable screening approach for frailty. Accurate prediction of worsening dependency and death need to be confirmed through the piloting of a frailty screening programme.

A 6-year prospective clinical cohort study on the bidirectional association between frailty and depressive disorder

INTRODUCTION

Depressive disorder has been conceptualised as a condition of accelerated biological ageing. We operationalised a frailty index (FI) as marker for biological ageing aimed to explore the bidirectional, longitudinal association between frailty and either depressive symptoms or depressive disorder.

METHODS

A cohort study with 6-year follow-up including 377 older (≥60 years) outpatients with a DSM-IV-defined depressive disorder and 132 never-depressed controls. Site visits at baseline, 2 and 6-year follow-up were conducted and included the CIDI 2.0 to assess depressive disorder and relevant covariates. Depressive symptom severity and mortality were assessed every 6 months by mail and telephone. A 41-item FI was operationalised and validated against the 6-year morality rate by Cox regression (HR_FI  = 1.04 [95% CI: 1.02-1.06]).

RESULTS

Cox regression showed that a higher FI was associated with a lower chance of remission among depressed patients (HR_FI  = 0.98 [95% CI: 0.97-0.99]). Nonetheless, this latter effect disappeared after adjustment for baseline depressive symptom severity. Linear mixed models showed that the FI increased over time in the whole sample (B[SE] = 0.94 (0.12), p < .001) with a differential impact of depressive symptom severity and depressive disorder. Higher baseline depressive symptom severity was associated with an attenuated and depressive disorder with an accelerated increase of the FI over time.

CONCLUSIONS

The sum score of depression rating scales is likely confounded by frailty. Depressive disorder, according to DSM-IV criteria, is associated with accelerated biological ageing. This argues for the development of multidisciplinary geriatric care models incorporating frailty to improve the overall outcome of late-life depression.

Association of a composite score of relative grip strength and timed up and go test with incident type 2 diabetes mellitus: Guangzhou Biobank Cohort Study

Background: We investigated association of a score incorporating relative grip strength (RGS) and timed up and go (TUG) test with incident type 2 diabetes mellitus (T2DM) in older Chinese.

Methods: Both RGS and TUG scores were classified into tertiles (0~2 points) and summed to yield RGS-TUG score, ranging from 0 to 4 points, with higher points indicating better physical function. Cox proportional hazards regression was used to analyze association of RGS-TUG score with incident T2DM.

Results: 3,892 participants without T2DM were followed up for an average of 3.6 years with 240 developing T2DM. After adjustment, those with the lowest RGS-TUG score, versus the highest, had higher fasting glucose, two-hour post-load glucose and glycosylated hemoglobin A1c, with β (95% confidence interval (CI)) being 0.21 (0.08, 0.33), 1.06 (0.69, 1.43) and 0.16 (0.06, 0.27), respectively. In participants with BMI of ≥25 kg/m2, those with the lowest RGS-TUG score showed a higher risk of T2DM (adjusted hazard ratio 3.01, 95% CI 1.04–8.69). No association was found for BMI of 18.5~<25 kg/m2 (P for interaction < 0.05).

Conclusions: This is the first study showing lower RGS-TUG score was associated with increased glycemia and incident T2DM in older people with overweight/obesity. The underlying mechanisms warrant further investigation.

Frailty as predictor of complications in patients undergoing percutaneous nephrolithotomy (PCNL)

INTRODUCTION & OBJECTIVE

Surgical complications are difficult to predict, despite existing tools. Frailty phenotype has shown promise estimating postoperative risk among the elderly. We evaluate the use of frailty as a predictive tool on patients undergoing percutaneous renal surgery.

METHODS

Frailty was prospectively analyzed using the Hopkins Frailty Index, consisting of 5 components yielding an additive score: patients categorized not frail, intermediate, or severely frail. Primary outcomes were complications during admission and 30-day complication rate. Secondary outcomes included overall hospital length of stay (LOS) and discharge location.

RESULTS

A total of 100 patients recruited, of whom five excluded as they did not need the procedure. A total of 95 patients analyzed; 69, 10, and 16 patients were not frail, intermediate, and severely frail, respectively. There were no differences in blood loss, number of dilations, presence of a staghorn calculus, laterality, or location of dilation. Severely frail patients were likely to be older and have a higher American Society of Anesthesiologists score and Charlson comorbidity index. Patients of intermediate or severe frailty were more likely to exhibit postoperative fevers, bacteremia, sepsis, and require ICU admissions (P < 0.05). Frail patients had a longer LOS (P < 0.001) and tended to require skilled assistance when discharge (p < 0.0001).

CONCLUSIONS

Frailty assessment appears useful stratifying those at risk of extended hospitalization, septic complications, and need for assistance following percutaneous renal surgery. Risks of sepsis, bacteremia, and post-operative hemorrhage may be higher in frail individuals. Preoperative assessment of frailty phenotype may give insight into treatment decisions and represent a modifiable marker allowing future trials exploring the concept of "prehabilitation".

Transitions in frailty phenotype states and components over 8 years: Evidence from The Irish Longitudinal Study on Ageing

AIM

Fried's frailty phenotype (FP) is defined by exhaustion (EX), unexplained weight loss (WL), weakness (WK), slowness (SL) and low physical activity (LA). Three or more components define the frail state, and one or two the prefrail. We described longitudinal transitions of FP states and components in The Irish Longitudinal Study on Ageing (TILDA).

METHODS

We included participants aged ≥50 years with FP information at TILDA wave 1 (2010), who were followed-up over four longitudinal waves (2012, 2014, 2016, 2018). Next-wave transition probabilities were estimated with multi-state Markov models.

RESULTS

5683 wave 1 participants were included (2612 men and 3071 women; mean age 63.1 years). Probabilities from non-frail to prefrail, and non-frail to frail were 27% and 2%, respectively. Prefrail had a 32% probability of reversal to non-frail, and a 10% risk of progression to frail. Frail had an 18% probability of reversal to prefrail and 31% risk of death. Probabilities of transitioning from not having to having a component were: 17% for LA, 11% for SL, 9% for EX, 7% for WL and 6% for WK. Probabilities of having a FP component and dying were: 17% for WL, 15% for WK, 14% for SL, 13% for EX, and 10% for LA. Probabilities of having a component and recovering at the next wave were: 59% for WL, 58% for EX, 40% for WK, 35% for LA and 23% for SL.

CONCLUSIONS

FP states and components are characterized by dynamic longitudinal transitions. Opportunities exist for reducing the probability of adverse transitions.

A Comparison of Frailty Assessment Instruments in Different Clinical and Social Care Settings: The Frailtools Project

OBJECTIVE

To determine which of 8 commonly employed frailty assessment tools demonstrate the most appropriate characteristics to be employed in different clinical and social settings.

DESIGN

Cross-sectional multicenter European-based study.

SETTING AND PARTICIPANTS

1440 patients aged ≥75 years evaluated in geriatric inpatient wards, geriatric outpatient clinics, primary care clinics, and nursing homes.

METHODS

The frailty instruments used were Frailty Phenotype, SHARE-FI, 3-item Frailty Trait Scale (FTS-3), 5-item Frailty Trait Scale (FTS-5), FRAIL, 35-item Frailty Index (FI-35), Gérontopôle Frailty Screening Tool (GFST), and Clinical Frailty Scale (CFS). The settings were geriatrics wards, outpatient clinics, primary care, and nursing homes. Suitability was evaluated by considering the feasibility (patients with the test fully completed), administration time (time spent for administering the test), and interscale agreement (Cohen kappa index among instruments to detect frailty).

RESULTS

The prevalence of frailty varied across settings and adopted tests. The scales with the mean highest feasibility were the FRAIL scale (99.4%), SHARE-FI (98.3%), and GFST (95.0%). The mean shortest administration times were obtained with CFS (24 seconds), GFST (72 seconds), and FRAIL scale (90 seconds). The interscale agreement between most of the tests was fair. CFS followed by FTS-5 agreed at least moderately with a greater number of scales overall and in almost all settings.

CONCLUSIONS AND IMPLICATIONS

Based on feasibility, time to undertake the tool, and agreement with other scales, different scales would be recommended according to the setting considered. Our findings suggest that most of the tools evaluated are actually assessing different frailty constructs.

Non-Esterified Fatty Acids and Risks of Frailty, Disability, and Mobility Limitation in Older Adults: The Cardiovascular Health Study

BACKGROUND/OBJECTIVES

Non-esterified fatty acids (NEFAs) play central roles in the relationship between adiposity and glucose metabolism, and they have been implicated in the pathogenesis of cardiovascular disease, but few studies have assessed their effects on complex geriatric syndromes like frailty that cross multiple organ systems. We sought to determine the relationships between NEFAs and incident frailty, disability, and mobility limitation in a population-based cohort of older persons.

METHODS

We analyzed 4,710 Cardiovascular Health Study (CHS) participants who underwent measurement of circulating total fasting NEFAs in 1992-1993 and were assessed for frailty in 1996-1997 and for disability and mobility limitation annually. We used ordinal logistic regression to model incident frailty, linear regression to model components of frailty, and Cox regression to model disability and mobility limitation in relation to baseline NEFAs. To ensure proportional hazards, we truncated follow-up at 9 years for disability and 6.5 years for mobility limitation.

RESULTS

A total of 42 participants became frail and 510 became pre-frail over a 4-year period, and we documented 1,720 cases of disability and 1,225 cases of mobility limitation during follow-up. NEFAs were positively associated in a dose-dependent manner with higher risks of incident frailty, disability, and mobility limitation. The adjusted odds ratios for frailty were 1.37 (95% confidence interval [CI] = 1.01-1.86; P = .04) across extreme tertiles and 1.17 (95% CI = 1.03-1.33; P = .01) per standard deviation increment. The corresponding hazard ratios for incident disability were 1.14 (95% CI = 1.01-1.30; P = .04) and 1.11 (95% CI = 1.06-1.17; P < .0001); those for incident mobility limitation were 1.23 (95% CI = 1.06-1.43; P = .006) and 1.15 (95% CI = 1.08-1.22; P < .0001). Results were largely consistent among both men and women. Among individual components of frailty, NEFAs were significantly associated with self-reported exhaustion (β = .07; standard error = .03; P = .02).

CONCLUSION

Circulating NEFAs are significantly associated with frailty, disability, and mobility limitation among older adults. These results highlight the broad spectrum of adverse health issues associated with NEFA in older adults.

Outpatient grip strength measurement predicts survival, perioperative adverse events, and nonhome discharge among patients with vascular disease

OBJECTIVES

Frailty is associated with adverse outcomes among patients with vascular disease. Grip strength measurement is a comparatively simple, quick, and inexpensive screening test for weakness (a component of frailty) that is potentially applicable to clinical practice. We hypothesized that grip strength and categorical weakness are associated with clinical outcomes among patients with vascular disease. To test this hypothesis, we conducted a longitudinal cohort study evaluating associations between grip strength measured during outpatient clinic visits for vascular disease and clinical outcomes, including survival and perioperative outcomes.

METHODS

Adult patients recruited from outpatient vascular surgery and/or vascular medicine clinics underwent dominant hand grip strength measurement using a hand dynamometer. Participants were categorized as weak based on grip strength, sex, and body mass index. Multivariable logistic models were used to evaluate perioperative outcomes. Mortality was evaluated using Cox proportional hazards models adjusted for sex, age, and operative intervention during follow-up.

RESULTS

We enrolled 321 participants. The mean patients age was 69.0 ± 9.4 years, and 33% were women. Mean grip strength was 32.0 ± 12.1 kg, and 92 participants (29%) were categorized as weak. The median follow-up was 24.0 months. Adverse perioperative events occurred in 32 of 84 patients undergoing procedures. Grip strength was associated with decreased risk of perioperative adverse events (hazard ratio [HR], 0.41 per 12.7 kg increase; 95% confidence interval [CI], 0.20-0.85; P = .0171) in a model adjusted for open versus endovascular procedure (HR, 12.75 for open; 95% CI, 2.54-63.90; P = .0020) and sex (HR, 3.05 for male; 95% CI, 0.75-12.4; P = .120). Grip strength was also associated with a lower risk of nonhome discharge (HR, 0.34 per 12.7 kg increase; 95% CI, 0.14-0.82; P = .016) adjusted for sex (HR, 2.14 for male; 95% CI, 0.48-9.50; P = .31) and open versus endovascular procedure (HR, 10.36 for open; 95% CI, 1.20-89.47; P = .034). No associations between grip strength and length of stay were observed. Mortality occurred in 48 participants (14.9%) during follow-up. Grip strength was inversely associated with mortality (HR, 0.46 per 12.5 kg increase; 95% CI, 0.29-0.73; P = .0009) in a model adjusted for sex (HR, 5.08 for male; 95% CI, 2.1-12.3; P = .0003), age (HR, 1.04 per year; 95% CI, 1.01-1.08), and operative intervention during follow-up (HR, 1.23; 95% CI, 0.71-2.52). Categorical weakness was also associated with mortality (HR, 1.81 vs nonfrail; P = .048) in a model adjusted for age (HR, 1.06 per year; P = .002) and surgical intervention (HR, 1.36; 95% CI, 1.02-0.09; P = .331).

CONCLUSIONS

Grip strength is associated with all-cause mortality, perioperative adverse events, and nonhome discharge among patients with vascular disease. These observations support the usefulness of grip strength as a simple and inexpensive risk screening tool for patients with vascular disease.

Examining Frailty Phenotype Dimensions in the Oldest Old

INTRODUCTION

Frailty has been studied among the old population due to its association with negative outcomes. Presently there is no gold standard for measuring frailty, but several studies have used the frailty phenotype of Fried consisting of five components (weakness, slowness, unintentional weight loss, exhaustion, and low physical activity) that classify individuals as robust, pre-frail, or frail, depending on the number of components affected, respectively, zero, one or two, and three or more. This study aims to explore the specific contribution of each of these components to the frailty phenotype in a sample of oldest old community-dwelling individuals.

MATERIALS AND METHODS

Individuals aged 80+ years old living in the community (N = 142) participated in this study. Sociodemographic data (age, sex, educational level, and marital status) and Fried's frailty phenotype were collected. Descriptive analysis summarized sociodemographic information and the frailty components. Multiple correspondence analysis (MCA) was performed to detect and explore relationships between frailty's five components.

RESULTS

Participants had a mean age of 88.07 years (SD = 5.30 years) and were mainly women (73.9%). The majority of the sample were considered frail (71.8%) and pre-frail (24.7%), and the most recurrent component for both groups was slowness. From the MCA analysis, a two-dimension solution was considered the most adequate, with 53.47% of variance explained. Dimension 1 (32.21% of variance explained) showed weakness as the most discriminant component; dimension 2 (21.26% of variance explained) showed unintentional weight loss as the most discriminant component.

DISCUSSION

Results revealed a high number of pre-frail and frail participants. MCA proved to add an important understanding in examining the frailty phenotype; it revealed weakness as the most discriminant component for dimension 1, suggesting a high association with the frailty phenotype. MCA also identified two main features of frailty: one related with physical features (motor behavioral and grip strength) including weakness, low physical activity, and slowness; and the second related with intrinsic conditions (unintentional weight loss and exhaustion).

CONCLUSION

This study corroborates the need of a differentiated approach to the frailty phenotype among very old individuals, bringing for consideration the specific influence of its components.

Is phenotypical prefrailty all the same? A longitudinal investigation of two prefrailty subtypes in TILDA

BACKGROUND

Fried's frailty phenotype is defined by five criteria: exhaustion, unexplained weight loss, weakness, slowness and low physical activity. Prefrailty (PF) meets one or two criteria. PF is of interest as a target for preventative interventions, but it is not known if it is a homogenous syndrome.

OBJECTIVE

to compare the longitudinal trajectories of two PF groups: one defined by exhaustion and/or unexplained weight loss (PF1) and one defined by one or two of the following: weakness, slowness, low physical activity (PF2).

DESIGN AND SETTING

population-based longitudinal study of ageing.

SUBJECTS

One-thousand four-hundred seventy-six PF participants aged ≥50 years from wave 1 of the study (2010), followed 2-yearly over four longitudinal waves (2012, 2014, 2016, 2018).

METHODS

generalised estimating equations (GEEs) were used to assess the effect of PF type across waves to predict cumulative mortality and disability in basic activities of daily living (ADL) and independent ADL (IADL), adjusting for baseline characteristics (age, sex, education, living alone, self-rated health, comorbidity, body mass index).

RESULTS

in wave 1, there were 503 PF1 and 973 PF2 participants. By wave 5, 38 (7.6%) PF1 and 145 (14.9%) PF2 participants had died. In PF1 participants, mean numbers of ADL and IADL disabilities both increased from 0.1 to 0.2 from wave 1 to wave 5, whilst in PF2 increases were from 0.2 to 0.5. Adjusted GEE models suggested significantly divergent trajectories of IADL disability by wave 2, ADL disability by wave 3 and mortality by wave 3.

CONCLUSION

PF may not be a homogenous biological syndrome.

Postural instability and the condition of physical frailty in the elderly

OBJECTIVE

to analyze the relationship between postural instability and the condition and markers of physical frailty of the elderly people in outpatient geriatric and gerontology care.

METHOD

a cross-sectional study with a sample of 381 elderly subjects. Physical frailty was evaluated by the frailty phenotype and postural instability through the Berg Balance Scale. Univariate analyses consisted in Chi-square tests, and multivariate analyses used the Forward Stepwise method, which resulted in a model of physical frailty associated with postural instability.

RESULTS

among the participants, 56 (14.7%) were frail, 217 (57%) pre-frail, and 68 (28.3%) non-frail. Pre-frailty (p < 0.001), frailty (p = 0.000), and the markers hand grip strength (p = 0.0008), unintentional weight loss (p = 0.0094), level of physical activity (p = 0.0001), fatigue/exhaustion (p = 0.0001), and gait speed (p = 0.0001) were associated with postural instability.

CONCLUSION

the presence of postural instability determines a greater chance of the elderly being frail or pre-frail. This result favors the planning of gerontological nursing care and strengthens the treatment plan under a specific approach.

FRAILTOOLS study protocol: a comprehensive validation of frailty assessment tools to screen and diagnose frailty in different clinical and social settings and to provide instruments for integrated care in older adults

Background

Dozens of scales and questionnaires have been used in the detection of frailty; however, a generalized method for its screening and diagnosis is still lacking in clinical settings. FRAILTOOLS´ main objective is to evaluate the usefulness of frailty scales in the detection of frailty in different clinical and social settings, and its integration in management algorithms for the frail older patient.

Methods

FRAILTOOLS is an observational, longitudinal and prospective study with a follow-up of 6, 12 and 18 months. People older than 75 years old will be recruited from three separate clinical settings (acute geriatric wards, geriatric outpatient clinics and primary care) and one social setting (nursing homes). Exclusion criteria include Mini-mental State Examination < 20 points, and a Barthel index < 90 points, except in nursing home residents (< 40 points). The participants will be recruited in Spain, Italy, France, United Kingdom and Poland. The total sample size will be of 1.940 subjects, 97 subjects in each clinical setting by center. A personal interview with each participant will take place to register data on comorbidity (Charlson Index), functional (SPPB, Barthel and Lawton indexes), cognitive (MMSE) and frailty status (Fried Phenotype, Frailty Trait Scale – short version, SHARE-FI, 35-Items Rockwood Frailty Index, Clinical Frailty Scale, FRAIL scale and Gérontopôle Frailty Screening Tool) in the baseline visit, month 12 and month 18 visit of follow up. At 6 month a phone call will be made to assess whether there have been falls and to check the vital status.

Discussion

Currently, the usefulness of certain assessment tools in social and clinical settings have not been properly assessed, including their ability to predict the individual risk for different adverse outcomes, which is the main interest in daily practice.

The FRAILTOOLS project concentrates on providing screening and diagnostic tools for frailty in those settings where its prevalence is the highest and where efforts in prevention could make a significant change in the trend towards disability.

Trial registration

Comprehensive validation of frailty assessment tools in older adults in different clinical and social settings (FRAILTOOLS), NCT02637518 (date of registration: 12/18/2015).

Physical frailty and gait speed in community elderly: a systematic review

OBJECTIVE

To identify the outcomes of studies on gait speed and its use as a marker of physical frailty in community elderly.

METHOD

Systematic review of the literature performed in the following databases: LILACS, SciELO, MEDLINE/PubMed, ScienceDirect, Scopus and ProQuest. The studies were evaluated by STROBE statement, and the PRISMA recommendations were adopted.

RESULTS

There were 6,303 studies, and 49 of them met the inclusion criteria. Of the total number of studies, 91.8% described the way of measuring gait speed. Of these, 28.6% used the distance of 4.6 meters, and 34.7% adopted values below 20% as cutoff points for reduced gait speed, procedures in accordance with the frailty phenotype. Regarding the outcomes, in 30.6% of studies, there was an association between gait speed and variables of disability, frailty, sedentary lifestyle, falls, muscular weakness, diseases, body fat, cognitive impairment, mortality, stress, lower life satisfaction, lower quality of life, napping duration, and poor performance in quantitative parameters of gait in community elderly.

CONCLUSION

The results reinforce the association between gait speed, physical frailty and health indicator variables in community elderly.

Development of a Claims-based Frailty Indicator Anchored to a Well-established Frailty Phenotype

BACKGROUND

Fried and colleagues described a frailty phenotype measured in the Cardiovascular Health Study (CHS). This phenotype is manifest when ≥3 of the following are present: low grip strength, low energy, slowed waking speed, low physical activity, or unintentional weight loss. We sought to approximate frailty phenotype using only administrative claims data to enable frailty to be assessed without physical performance measures.

STUDY DESIGN

We used the CHS cohort data linked to participants Medicare claims. The reference standard was the frailty phenotype measured at visits 5 and 9. With penalized logistic regression, we developed a parsimonious index for predicting the frailty phenotype using a linear combination of diagnoses, operationalized with claims data. We assessed the predictive validity of frailty index by examining how well it predicted common aging-related outcomes including hospitalization, disability, and death.

RESULTS

There were 4454 CHS participants from 4 clinical sites. In total, 84% were white, 58% were women and their mean age was 72 years at enrollment. Approximately 11% of the cohort was frail. The model had an area under the receiver operating curve of 0.75 to concurrently predict a frailty phenotype. This Claims-based Frailty Indicator significantly predicted death (odds ratio, 1.84), time to death (hazards ratio, 1.71), number of hospital admissions (incidence rate ratio, 1.74), and nursing home admission (odds ratio, 1.47) in models adjusted for age and sex.

CONCLUSIONS

Claims data alone can be used to classify individuals as frail and nonfrail. The Claims-based Frailty Indicator might be used in research with large datasets for confounding adjustment or risk prediction. The indicator might also be used for emergency preparedness for identification of regions enriched with frail individuals.

Modifying the Phenotypic Frailty Model in Predicting Risk of Major Osteoporotic Fracture in the Elderly

INTRODUCTION

The phenotypic frailty (PF) model (including slow walking, low physical activity, exhaustion, weakness, and unintentional weight loss) has been widely used to quantify the degree of frailty and predict risks of adverse health outcomes for the elderly. However, evidence has shown that not all the components included in the PF model contribute equally, and low predictive accuracy of the PF model has been reported in predicting risks of outcomes. We aimed to improve predictive accuracy of the PF model in risk of major osteoporotic fracture (MOF) in the elderly by modifying its weighting of individual components.

METHODS

Data from the Global Longitudinal Study of Osteoporosis in Women (GLOW) 3-year Hamilton cohort were used for this study. We used the multivariable Cox regression model to identify the updated weighting for components in the original PF model. The goodness of fit and discrimination were assessed for model performances.

RESULTS

There were 3985 women included for analyses (mean age: 69.4 years). In the modified PF model, the updated weighting was 3 points for slowness and weakness, 2 points for weight loss, 1 point for poor endurance and exhaustion, and 1 point for low physical activity, respectively. The modified PF model could capture and categorize the future risk of MOF more accurately than the original model. Significant relationship between risks of MOF, falls, and death and the modified PF model was found. Compared with the original model, the modified PF model was a better fit to the data and with improved predictive accuracy.

CONCLUSION

Based on a simple and practical rescoring and recategorizing algorithm, the modified PF model could predict risks of adverse outcomes more accurately than the original model, reflecting a cost-effective way. More evidence is needed to validate the modified PF model and support its application in geriatric practice.

Implications of frailty screening in clinical practice

PURPOSE OF REVIEW

Many frailty screening instruments have been proposed due to the lack of consensus on a unified operational definition of frailty. This review reports on recent frailty screening tools in addition to revisiting the frailty concept.

RECENT FINDINGS

Although there are two representative frailty models, both have issues that prevent them from being implemented in clinical settings despite their remarkable advantages. Due to their different characteristics, these models are thought to be complementary rather than substitutive. The recent introduction of frailty identification into primary care and specific clinical settings has led to both a focus on its importance and the development of new screening methods.

SUMMARY

The phenotype model is rather faithfully based on biological change with aging, while the deficit model comprehensively captures risk of disability. Most of the current frailty screening tools are based on these models. Screening tools based on the former model primarily capture declines in physical functions, whereas screening tools based on the latter model involve questionnaires that examine functional impairments in multiple domains. Implementation of a model in a clinical setting depends on both the model characteristics and the clinical settings.

Development of the interRAI home care frailty scale

Background

The concept of frailty, a relative state of weakness reflecting multiple functional and health domains, continues to receive attention within the geriatrics field. It offers a summary of key personal characteristics, providing perspective on an individual’s life course.

There have been multiple attempts to measure frailty, some focusing on physiologic losses, others on specific diseases, disabilities or health deficits. Recently, multidimensional approaches to measuring frailty have included cognition, mood and social components. The purpose of this project was to develop and evaluate a Home Care Frailty Scale and provide a grounded basis for assessing a person’s risk for decline that included functional and cognitive health, social deficits and troubling diagnostic and clinical conditions.

Methods

A secondary analysis design was used to develop the Home Care Frailty Scale. The data set consisted of client level home care data from service agencies around the world. The baseline sample included 967,865 assessments while the 6-month follow-up sample of persons still being served by the home care agencies consisted of 464,788 assessments. A pool of 70 candidate independent variables were screened for possible inclusion and 16 problem outcomes referencing accumulating declines and clinical complications served as the dependent variables. Multiple regression techniques were used to analyze the data.

Results

The resulting Home Care Frailty Scale consisted of a final set of 29 items. The items fall across 6 categories of function, movement, cognition and communication, social life, nutrition, and clinical symptoms. The prevalence of the items ranged from a high of 87% for persons requiring help with meal preparation to 3.7% for persons who have experienced a recent decline in the amount of food eaten.

Conclusions

The interRAI Home Care Frailty Scale is based on a strong conceptual foundation and in our analysis, performed as expected. Given the use of the interRAI Home Care Assessment System in multiple, diverse countries, the Home Care Frailty Scale will have wide applicability to support program planning and policy decision-making impacting home care clients and their formal and informal caregivers throughout the world.

Comparison of 10 single and stepped methods to identify frail older persons in primary care: diagnostic and prognostic accuracy

Background

Many instruments have been developed to identify frail older adults in primary care. A direct comparison of the accuracy and prevalence of identification methods is rare and most studies ignore the stepped selection typically employed in routine care practice. Also it is unclear whether the various methods select persons with different characteristics. We aimed to estimate the accuracy of 10 single and stepped methods to identify frailty in older adults and to predict adverse health outcomes. In addition, the methods were compared on their prevalence of the identified frail persons and on the characteristics of persons identified.

Methods

The Groningen Frailty Indicator (GFI), the PRISMA-7, polypharmacy, the clinical judgment of the general practitioner (GP), the self-rated health of the older adult, the Edmonton Frail Scale (EFS), the Identification Seniors At Risk Primary Care (ISAR PC), the Frailty Index (FI), the InterRAI screener and gait speed were compared to three measures: two reference standards (the clinical judgment of a multidisciplinary expert panel and Fried’s frailty criteria) and 6-years mortality or long term care admission. Data were used from the Dutch Identification of Frail Elderly Study, consisting of 102 people aged 65 and over from a primary care practice in Amsterdam. Frail older adults were oversampled. The accuracy of each instrument and several stepped strategies was estimated by calculating the area under the ROC-curve.

Results

Prevalence rates of frailty ranged from 14.8 to 52.9 %. The accuracy for recommended cut off values ranged from poor (AUC = 0.556 ISAR-PC) to good (AUC = 0.865 gait speed). PRISMA-7 performed best over two reference standards, GP predicted adversities best. Stepped strategies resulted in lower prevalence rates and accuracy. Persons selected by the different instruments varied greatly in age, IADL dependency, receiving homecare and mood.

Conclusion

We found huge differences between methods to identify frail persons in prevalence, accuracy and in characteristics of persons they select. A necessary next step is to find out which frail persons can benefit from intervention before case finding programs are implemented. Further evidence is needed to guide this emerging clinical field.

Electronic supplementary material

The online version of this article (doi:10.1186/s12875-016-0487-y) contains supplementary material, which is available to authorized users.

Comparing two frailty concepts among older people with intellectual disabilities

In general, disabilities are considered a consequence of frailty rather than a cause of frailty, whereas in people with intellectual disabilities (ID), disabilities are often lifelong, which could have consequences for the feasibility and validity of frailty instruments. To better understand frailty in people with ID, we compared two broadly used concepts: the frailty phenotype (FP) and the frailty index (FI) taking into account their feasibility (e.g., percentage of participants able to complete the frailty assessments), agreement, validity (based on 5-year mortality risk), influence of motor disability, and the relation between single frailty variables and mortality. The FI and an adapted version of the FP were applied to a representative dataset of 1050 people with ID, aged 50 years and over. The FI was feasible in a larger part of the dataset (94 %) than the adapted FP: 29 % for all five items, and 81 % for at least three items. There was a slight agreement between the approaches (κ = 0.3). However defined, frailty was related with mortality, but the FI showed higher discriminative ability and a stronger relation with mortality, especially when adjusted for motor disabilities. Concluding, these results imply that the used FI is a stronger predictor for mortality and has higher feasibility than our adaptation of the FP, in older people with ID. Possible explanations of our findings are that we did not use the exact FP variables or that the FI includes multiple health domains, and the variables of the FI have lower sensitivity to lifelong disabilities and are less determined by mobility.

Frailty measurement in research and clinical practice: A review

One of the leading causes of morbidity and premature mortality in older people is frailty. Frailty occurs when multiple physiological systems decline, to the extent that an individual's cellular repair mechanisms cannot maintain system homeostasis. This review gives an overview of the definitions and measurement of frailty in research and clinical practice, including: Fried's frailty phenotype; Rockwood and Mitnitski's Frailty Index (FI); the Study of Osteoporotic Fractures (SOF) Index; Edmonton Frailty Scale (EFS); the Fatigue, Resistance, Ambulation, Illness and Loss of weight (FRAIL) Index; Clinical Frailty Scale (CFS); the Multidimensional Prognostic Index (MPI); Tilburg Frailty Indicator (TFI); PRISMA-7; Groningen Frailty Indicator (GFI), Sherbrooke Postal Questionnaire (SPQ); the Gérontopôle Frailty Screening Tool (GFST) and the Kihon Checklist (KCL), among others. We summarise the main strengths and limitations of existing frailty measurements, and examine how well these measurements operationalise frailty according to Clegg's guidelines for frailty classification - that is: their accuracy in identifying frailty; their basis on biological causative theory; and their ability to reliably predict patient outcomes and response to potential therapies.