Frailty prevalence and factors associated with the Frailty Phenotype and Frailty Index: Findings from the North West Adelaide Health Study

'We are fragile, but we are strong': A qualitative study of perspectives, experiences and priority outcomes for people living with HIV and frailty

OBJECTIVES

Advances in antiretroviral therapy have meant that the focus of HIV care has shifted to chronic disease management. The HIV population is ageing, and the prevalence of frailty is increasing. This study aimed to explore the perspectives and experiences of the impact of living with HIV and frailty and priority outcomes in relation to wellbeing and ageing.

METHODS

In-depth qualitative interviews were undertaken with older people living with HIV who screened positive for frailty using the FRAIL scale. Participants were recruited from a UK outpatient HIV clinic. Interviews were analysed using reflexive thematic analysis.

RESULTS

In total, 24 people living with HIV were interviewed. Frailty was described as not being able to do the things you could and living with limitations that impacted physical, psychological and social wellbeing. Being identified as frail was not always surprising, but acceptance of this diagnosis required an understanding of what frailty means and what they can do to address it. For people living with HIV, the word 'frail' was largely acceptable when its clinical meaning was explained. However, participants questioned whether a different term is needed if this is a new 'HIV-associated frailty'. Priority outcomes were slowing the progression of frailty, retaining independence and being treated holistically.

CONCLUSION

When talking about frailty with people living with HIV, professionals need to balance honesty and sensitivity and provide clear information about the meaning and impact for the person. Holistic management plans must recognize the physical and psycho-social impact of frailty and prioritize slowing its progression and reducing its impact on independence.

Frailty and socioeconomic position: A systematic review of observational studies

BACKGROUND

Frailty, an age-related state of reduced physiological reserve, is often associated with lower socio-economic position (SEP). This systematic review synthesised observational studies assessing (i) the association between SEP and frailty prevalence; (ii) how changes in frailty status over time vary by SEP; and (iii) whether the association between frailty and clinical outcomes is modified by SEP.

METHODS

We searched three electronic databases from 2001 to 2023. We included observational studies measuring early-, mid-, and late-life indicators of SEP (education, income, wealth, housing, occupation, and area-based measures of multiple deprivation) and frailty (assessed using any validated measure). Screening and extraction were performed in duplicate. Findings were synthesised using narrative synthesis.

RESULTS

We included 383 studies reporting findings from 265 independent samples/cohorts across 64 countries. Lower SEP was associated with higher frailty prevalence across all indicators (childhood deprivation 7/8 studies, education 227/248, occupation 28/32, housing 8/9, income 98/108, wealth 39/44 and area-based deprivation 32/34). Lower SEP was also associated with higher frailty incidence (27/30), with greater odds of transitioning towards a more severe frailty state (35/43), lower odds of frailty reversion (7/11), and (in some studies) with more rapid accumulation of deficits (7/15). The relationship between frailty and mortality was not modified by SEP.

INTERPRETATION

Preventative measures across multiple levels of individual and structural inequality are likely to be required to reduce the rising levels of frailty. Resourcing of interventions and services to support people living with frailty should be proportionate to needs in the population to avoid widening existing health inequalities.

Hospital-Based Health Professionals' Perceptions of Frailty in Older People

BACKGROUND AND OBJECTIVES

There is a high prevalence of frailty amongst older patients in hospital settings. Frailty guidelines exist but implementation to date has been challenging. Understanding health professional attitudes, knowledge, and beliefs about frailty is critical in understanding barriers and enablers to guideline implementation, and the aim of this study was to understand these in rehabilitation multidisciplinary teams in hospital settings.

RESEARCH DESIGN AND METHODS

Twenty-three semistructured interviews were conducted with health professionals working in multidisciplinary teams on geriatric and rehabilitation wards in Adelaide and Sydney, Australia. Interviews were audio recorded, transcribed, and coded by 2 researchers. A codebook was created and interviews were recoded and applied to the Framework Method of thematic analysis.

RESULTS

Three domains were developed: diagnosing frailty, communicating about frailty, and managing frailty. Within these domains, 8 themes were identified: (1) diagnosing frailty has questionable benefits, (2) clinicians don't use frailty screening tools, (3) frailty can be diagnosed on appearance and history, (4) frailty has a stigma, (5) clinicians don't use the word "frail" with patients, (6) frailty isn't always reversible, (7) there is a lack of continuity of care after acute admission, and (8) the community setting lacks resources.

DISCUSSION AND IMPLICATIONS

Implementation of frailty guidelines will remain challenging while staff avoid using the term "frail," don't perceive benefit of using screening tools, and focus on the individual aspects of frailty rather than the syndrome holistically. Clinical champions and education about frailty identification, reversibility, management, and communication techniques may improve the implementation of frailty guidelines in hospitals.

Dissecting the shared genetic architecture between Alzheimer's disease and frailty: a cross-trait meta-analyses of genome-wide association studies

Introduction: Frailty is the most common medical condition affecting the aging population, and its prevalence increases in the population aged 65 or more. Frailty is commonly diagnosed using the frailty index (FI) or frailty phenotype (FP) assessments. Observational studies have indicated the association of frailty with Alzheimer's disease (AD). However, the shared genetic and biological mechanism of these comorbidity has not been studied. Methods: To assess the genetic relationship between AD and frailty, we examined it at single nucleotide polymorphism (SNP), gene, and pathway levels. Results: Overall, 16 genome-wide significant loci (15 unique loci) (p meta-analysis < 5 × 10-8) and 22 genes (21 unique genes) were identified between AD and frailty using cross-trait meta-analysis. The 8 shared loci implicated 11 genes: CLRN1-AS1, CRHR1, FERMT2, GRK4, LINC01929, LRFN2, MADD, RP11-368P15.1, RP11-166N6.2, RNA5SP459, and ZNF652 between AD and FI, and 8 shared loci between AD and FFS implicated 11 genes: AFF3, C1QTNF4, CLEC16A, FAM180B, FBXL19, GRK4, LINC01104, MAD1L1, RGS12, ZDHHC5, and ZNF521. The loci 4p16.3 (GRK4) was identified in both meta-analyses. The colocalization analysis supported the results of our meta-analysis in these loci. The gene-based analysis revealed 80 genes between AD and frailty, and 4 genes were initially identified in our meta-analyses: C1QTNF4, CRHR1, MAD1L1, and RGS12. The pathway analysis showed enrichment for lipoprotein particle plasma, amyloid fibril formation, protein kinase regulator, and tau protein binding. Conclusion: Overall, our results provide new insights into the genetics of AD and frailty, suggesting the existence of non-causal shared genetic mechanisms between these conditions.

Prevalence of multimorbidity and polypharmacy among adults and older adults: a systematic review

Multimorbidity (multiple conditions) and polypharmacy (multiple medications) are increasingly common, yet there is a need to better understand the prevalence of co-occurrence. In this systematic review, we examined the prevalence of multimorbidity and polypharmacy among adults (≥18 years) and older adults (≥65 years) in clinical and community settings. Six electronic databases were searched, and 87 studies were retained after two levels of screening. Most studies focused on adults 65 years and older and were done in population-based community settings. Although the operational definitions of multimorbidity and polypharmacy varied across studies, consistent cut-points (two or more conditions and five or more medications) were used across most studies. In older adult samples, the prevalence of multimorbidity ranged from 4·8% to 93·1%, while the prevalence of polypharmacy ranged from 2·6% to 86·6%. High heterogeneity between studies indicates the need for more consistent reporting of specific lists of conditions and medications used in operational definitions.

Association of altitude and frailty in Chinese older adults: using a cumulative frailty index model

Objective

The population is aging exponentially and the resulting frailty is becoming increasingly evident. We aimed to explore the association between altitude and frailty, and to identify associated factors for frailty.

Methods

This is a community-based cross-sectional survey. 1,298 participants aged ≥60 years from three different altitudes were included in the study. To quantify frailty, we constructed a frailty index (FI) and a frailty score (FS). The FI was divided into non-frailty, prefrailty, and frailty. The Odds Ratios and confidence intervals (ORs, 95%CIs) were used to evaluate the association between altitude and FI and FS in multivariate ordinal logistic regression and linear regression.

Results

There were 560 (53.1%) participants in the prefrailty and 488 (37.6%) in the frailty group. The FS increased with higher altitude (P for trend <0.001). Multivariate ordinal logistic regression analysis revealed an association between altitude and frailty, OR = 1.91 (95% CI: 1.38-2.64) in mid-high altitude and 2.49 (95% CI:1.40-4.45) in high altitude. The same trend of association was found in the univariate analysis. The FS increased by 1.69 (95% CI: 0.78-2.60) at mid-high altitude and 3.24 (95%CI:1.66-4.81) at high altitude compared to medium altitude.

Conclusion

The study indicates that high altitude exposure is an associated factor for frailty in older adults. This association become stronger with higher altitudes. As a result, it is essential to conduct early frailty screening for residents living at high altitudes.

Physiologically based pharmacokinetic (PBPK) modelling of oral drug absorption in older adults - an AGePOP review

The older population consisting of persons aged 65 years or older is the fastest-growing population group and also the major consumer of pharmaceutical products. Due to the heterogenous ageing process, this age group shows high interindividual variability in the dose-exposure-response relationship and, thus, a prediction of drug safety and efficacy is challenging. Although physiologically based pharmacokinetic (PBPK) modelling is a well-established tool to inform and confirm drug dosing strategies during drug development for special population groups, age-related changes in absorption are poorly accounted for in current PBPK models. The purpose of this review is to summarise the current state-of-knowledge in terms of physiological changes with increasing age that can influence the oral absorption of dosage forms. The capacity of common PBPK platforms to incorporate these changes and describe the older population is also discussed, as well as the implications of extrinsic factors such as drug-drug interactions associated with polypharmacy on the model development process. The future potential of this field will rely on addressing the gaps identified in this article, which can subsequently supplement in-vitro and in-vivo data for more robust decision-making on the adequacy of the formulation for use in older adults and inform pharmacotherapy.

A global perspective on risk factors for frailty in community-dwelling older adults: A systematic review and meta-analysis

BACKGROUND

Frailty has become an important determinant of a series of adverse health outcomes. We explored the risk factors for frailty in older adults in the community from a global perspective and explore whether there are ethnic differences in these risk factors.

METHODS

The systematic review and meta-analysis (PROSPERO registration number: CRD42022323342) was searched using six electronic databases, including PubMed, Embase, the Cochrane Library, Web of Science, PsycINFO (EBSCO) and CINAHL (EBSCO) from inception to October 2021. We assessed study eligibility by inclusion and excluded criteria. Cohort studies included were assessed according to the Newcastle-Ottawa Scale. Cross-sectional studies were assessed by the bias risk evaluation standard recommended by the Agency for Health care Research and Quality. The results were reported by a narrative synthesis and pooled analyses. Statistical analyses were performed in Review Manager 5.3 software.

RESULTS

We reviewed 10870 studies, and 62 studies were included. The results showed a significant association between multidomain risk factors and the frailty of global older adults, including demographic factors, health-related factors, and physical factors. Marital status, depression, risk of malnutrition, history of falls and disease-related symptoms are also risk factors for frailty among older people in Asia.

CONCLUSION

Multiple domain factors were associated with frailty among older people around the world. Compared with the rest of the world, Asian populations are exposed to more risk factors for frailty. Therefore, health care providers should consider the characteristics of risk factors for frailty in this region when formulating intervention measures related to frailty.

Prevalence and health outcomes of polypharmacy and hyperpolypharmacy in older adults with frailty: A systematic review and meta-analysis

Polypharmacy is a prevalent issue in older adults, associated with a wide range of adverse health outcomes, amplified in those with frailty. This review aims to synthesize current literature on the prevalence and health outcomes of polypharmacy and hyperpolypharmacy in older adults with frailty. A systematic search was carried out within ten databases till December 2021. Data was extracted using a piloted data extraction form, and methodological quality was assessed using JBI critical appraisal checklists. Meta-analyses were conducted for prevalence, and narrative synthesis was conducted for the health outcomes of polypharmacy and hyperpolypharmacy in older adults with frailty. Heterogeneity was assessed using Chi² and I² statistics, with sensitivity and subgroup analyses performed to explore sources of heterogeneity. Sixty-six studies were included for this review. The overall pooled prevalence of polypharmacy and hyperpolypharmacy was 59% and 22% respectively. When stratifying the studies by setting, WHO regions, in eighteen frailty assessment instruments, and by its year of publication, subgroup analysis found the highest rates of prevalence in the hospital setting (71%), in the European region (68%), when Reported Edmonton Frail Scale was used (96%), and in studies published in 2015 (86%). Additionally, frail older adults with polypharmacy were less likely to experience an improvement in frailty states, had higher risks of mortality, were more likely to suffer adverse hospital-related outcomes, and required additional assistance compared to those without polypharmacy. Therefore, the high prevalence and poorer health outcomes urges the healthcare providers and health policymakers to develop and implement preventative and restorative measures targeted at the adverse outcomes associated with polypharmacy and hyperpolypharmacy in older adults with frailty.

Musculoskeletal Diseases Role in the Frailty Syndrome: A Case-Control Study

Frailty syndrome severely burdens older age, and musculoskeletal diseases are of paramount importance in its development. The aim of this study is to unravel the contribution of musculoskeletal diseases to frailty syndrome. This is a case-control study, and we enrolled 55 robust community-dwelling age- and gender-matched patients, with 58 frail and pre-frail subjects. Frailty was diagnosed according to the Fried criteria (FP), and the Fragility Index (FI) was calculated. In all the subjects, a comprehensive geriatric assessment was carried out. Their nutritional status was evaluated by the Mini Nutritional Assessment and Bioelectrical Impedance Analyses. Their bone density (BMD), bone turnover, muscle mass, strength and performance were evaluated. Here, we show that the prevalence of frailty varies according to the diagnostic criteria used and that FP and FI showed a moderate to good agreement. Despite age and gender matching, frail subjects had lower muscle strength, performance and BMD. Their quality of life and cognitive performance were reduced in the frail subjects compared to the robust ones. Muscular strength and performance, together with mood, significantly predicted the diagnosis of frailty, whereas BMD and bone turnover did not. In conclusion, we show that sarcopenia plays a pivotal role in predicting the diagnosis of frailty, whereas osteoporosis does not.

Sensory and motor correlates of frailty: dissociation between frailty phenotype and frailty index

Background

Frailty has been associated with a decline in sensory and motor function. However, given that different frailty measures were shown to overlap but also differ in their diagnostic properties, sensory and motor correlates of frailty might be different depending on the operationalization of frailty. Our objective was to identify sensory and motor determinants of frailty and compare the results between frailty phenotype (FP) and frailty index (FI).

Methods

Data from 44 pre-frail and frail subjects aged 65 and above were used. Frailty was measured using the FP and the FI. Sensory function in the visual, auditory, and tactile domain was assessed using visual acuity, absolute hearing threshold and mechanical detection threshold. Upper extremity motor performance was evaluated by the Purdue Pegboard Test and the Short Physical Performance Battery was used to assess lower extremity motor function. Multiple logistic regression models were employed to determine associations of sensory and motor function with frailty vs. pre-frailty for both frailty measures.

Results

The frailty measures were moderately correlated (0.497, p ≤ 0.01) and had a Kappa agreement of 0.467 (p = 0.002). Using the FP, frailty was significantly associated with reduced upper extremity motor function only (OR = 0.50, 95% CI 0.29–0.87, p = 0.014). Frailty as assessed by the FI was significantly related to higher hearing thresholds (OR = 1.21, 95% CI 1.02–1.43, p = 0.027) and reduced lower extremity performance (OR = 0.32, 95% CI 0.13–0.77, p = 0.012).

Conclusion

Frailty is related to reduced performance in measures of sensory and motor function. However, traditional measures of frailty might be differentially sensitive to capture sensory and motor decline, possibly contributing to the much-observed discordance between the diagnostic instruments. This should be taken into account by researchers and clinicians when planning and evaluating therapeutic interventions for frailty.

Trial registration

ClinicalTrials.gov NCT03666039. Registered 11 September 2018 – Retrospectively registered.

Low physical activity is the strongest factor associated with frailty phenotype and frailty index: data from baseline phase of Birjand Longitudinal Aging Study (BLAS)

Background

Frailty is the most complicated expression of aging that is related to disability or multi-morbidity. The aim of the present study was to estimate the prevalence of frailty and its associated factors among community-dwelling aged population.

Methods

A total of 1529 eligible community- dwelling older adults (≥ 60 years) were enrolled in the baseline phase of Birjand Longitudinal Aging Study (BLAS) from 2019 to 2020. Their frailty status was assessed using the Fried’s frailty phenotype and frailty index. Sociodemographic factors, including sex, age, marital status, and education level, were collected. Health status assessment included the history of hypertension, diabetes mellitus, cardiovascular disease, Alzheimer’s diseases and dementia, and other health conditions. Furthermore, functional assessment (ADL, IADL) and anthropometric measurements including height, weight, waist, calf, and mid-arm circumference were made and the body mass index was calculated. The nutrition status and polypharmacy (use 3 or more medication) were also evaluated.

Results

The prevalence of frailty was 21.69% according to the frailty phenotype and 23.97% according to the frailty index. A multiple logistic regression model showed a strong association between low physical activity and frailty phenotype (OR = 36.31, CI = 16.99–77.56, P < 0.01), and frailty index (OR = 15.46, CI = 5.65–42.34, P < 0.01). Other factors like old age (≥80), female sex, malnutrition, polypharmacy, obesity, and arthritis were also associated with frailty. The Kappa coefficient of the agreement between these two instruments was 0.18.

Conclusion

It seems that low physical activity is the most important determinant of frailty. Low physical activity and some other factors may be preventable or modifiable and thus serve as clinically relevant targets for intervention.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03135-y.

Screening, Diagnosis and Management of Sarcopenia and Frailty in Hospitalized Older Adults: Recommendations from the Australian and New Zealand Society for Sarcopenia and Frailty Research (ANZSSFR) Expert Working Group

Sarcopenia and frailty are highly prevalent conditions in older hospitalized patients, which are associated with a myriad of adverse clinical outcomes. This paper, prepared by a multidisciplinary expert working group from the Australian and New Zealand Society for Sarcopenia and Frailty Research (ANZSSFR), provides an up-to-date overview of current evidence and recommendations based on a narrative review of the literature for the screening, diagnosis, and management of sarcopenia and frailty in older patients within the hospital setting. It also includes suggestions on potential pathways to implement change to encourage widespread adoption of these evidence-informed recommendations within hospital settings. The expert working group concluded there was insufficient evidence to support any specific screening tool for sarcopenia and recommends an assessment of probable sarcopenia/sarcopenia using established criteria for all older (≥65 years) hospitalized patients or in younger patients with conditions (e.g., comorbidities) that may increase their risk of sarcopenia. Diagnosis of probable sarcopenia should be based on an assessment of low muscle strength (grip strength or five times sit-to-stand) with sarcopenia diagnosis including low muscle mass quantified from dual energy X-ray absorptiometry, bioelectrical impedance analysis or in the absence of diagnostic devices, calf circumference as a proxy measure. Severe sarcopenia is represented by the addition of impaired physical performance (slow gait speed). All patients with probable sarcopenia or sarcopenia should be investigated for causes (e.g., chronic/acute disease or malnutrition), and treated accordingly. For frailty, it is recommended that all hospitalized patients aged 70 years and older be screened using a validated tool [Clinical Frailty Scale (CFS), Hospital Frailty Risk Score, the FRAIL scale or the Frailty Index]. Patients screened as positive for frailty should undergo further clinical assessment using the Frailty Phenotype, Frailty Index or information collected from a Comprehensive Geriatric Assessment (CGA). All patients identified as frail should receive follow up by a health practitioner(s) for an individualized care plan. To treat older hospitalized patients with probable sarcopenia, sarcopenia, or frailty, it is recommended that a structured and supervised multi-component exercise program incorporating elements of resistance (muscle strengthening), challenging balance, and functional mobility training be prescribed as early as possible combined with nutritional support to optimize energy and protein intake and correct any deficiencies. There is insufficient evidence to recommend pharmacological agents for the treatment of sarcopenia or frailty. Finally, to facilitate integration of these recommendations into hospital settings organization-wide approaches are needed, with the Spread and Sustain framework recommended to facilitate organizational culture change, with the help of 'champions' to drive these changes. A multidisciplinary team approach incorporating awareness and education initiatives for healthcare professionals is recommended to ensure that screening, diagnosis and management approaches for sarcopenia and frailty are embedded and sustained within hospital settings. Finally, patients and caregivers' education should be integrated into the care pathway to facilitate adherence to prescribed management approaches for sarcopenia and frailty.

How frail is frail? A systematic scoping review and synthesis of high impact studies

AIMS

While the frailty index (FI) is a continuous variable, an FI score of 0.25 has construct and predictive validity to categorise community-dwelling older adults as frail or non-frail. Our study aimed to explore which FI categories (FI scores and labels) were being used in high impact studies of adults across different care settings and why these categories were being chosen by study authors.

METHODS

For this systematic scoping review, Medline, Cochrane and EMBASE databases were searched for studies that measured and categorised an FI. Of 1314 articles screened, 303 met the eligibility criteria (community: N = 205; residential aged care: N = 24; acute care: N = 74). For each setting, the 10 studies with the highest field-weighted citation impact (FWCI) were identified and data, including FI scores and labels and justification provided, were extracted and analysed.

RESULTS

FI scores used to distinguish frail and non-frail participants varied from 0.12 to 0.45 with 0.21 and 0.25 used most frequently. Additional categories such as mildly, moderately and severely frail were defined inconsistently. The rationale for selecting particular FI scores and labels were reported in most studies, but were not always relevant.

CONCLUSIONS

High impact studies vary in the way they categorise the FI and while there is some evidence in the community-dweller literature, FI categories have not been well validated in acute and residential aged care. For the time being, in those settings, the FI should be reported as a continuous variable wherever possible. It is important to continue working towards defining frailty categories as variability in FI categorisation impacts the ability to synthesise results and to translate findings into clinical practice.

Many inpatients may not be physically prepared for community ambulation on discharge from a publicly funded rehabilitation centre: a cross-sectional cohort study

PURPOSE

We assessed the ability of patients discharging home from inpatient rehabilitation to meet criteria for community ambulation.

METHODS

Cross-sectional observational study design. Participants were assessed, within 48-hours of discharge on their ability to: ascend/descend three steps, walk at a speed of 0.44 m/s, ascend/descend a slope, ascend/descend a kerb, and walk 315 m continuously. Demographic data were collected from medical records. Multiple logistic regression determined factors predictive of meeting criteria.

RESULTS

Of 200 participants (mean 73 years, 66% women, mixed diagnosis), 64 (32%) met all criteria. The least commonly met criteria were walking 315 m continuously (37%) and ascending/descending steps (70%). Participants who were female (OR: 0.27, 95%CI: 0.12-0.61), with a high comorbidity index (OR: 0.71, 95%CI: 0.56-0.91) or a traumatic orthopaedic diagnosis (OR: 0.22, 95%CI: 0.05-0.96) were less likely to meet all criteria. Participants with a higher admission functional independence walk item score (OR: 1.37, 95%CI: 1.05-1.78) or higher ambulatory self-confidence (OR: 1.02, 95%CI: 1.01-1.04) were more likely to meet all criteria.

CONCLUSIONS

Approximately, one-third of inpatients discharged home from a publicly funded rehabilitation centre met the community ambulation criteria, suggesting many may not be physically prepared to participate in their community.Implications for RehabilitationOnly about one in three inpatients discharging home from a publicly funded rehabilitation centre met physical criteria for community ambulation.Patients discharging home from inpatient rehabilitation have most difficulty walking long distances (≥315 m) compared to other criteria required for community ambulation (i.e., walking at a speed of 0.44 m/s, stepping up/down a kerb, ascending/descending a slope and ascending/descending three steps) and rehabilitation during this phase may require an increased focus on improving walking endurance/physical activity.Women with a high co-morbidity index, traumatic orthopaedic diagnosis, low self-confidence with ambulation on discharge and who require more assistance with walking on admission are least likely to meet the physical criteria for community ambulation at discharge, and therefore may require additional rehabilitation or supports.

The Opinions of Turkish Older Adults Related to Frailty: A Qualitative Study

Frailty is a geriatric syndrome characterized by decreased daily living activity, weight loss, weakness, and dependency caused by the cumulative decline in many physiological systems over the life span. This study examined older adults' perceptions of frailty. The study used a descriptive qualitative design. Data were collected using semistructured interviews with 14 older adults admitted to the geriatrics outpatient clinic in one Turkish institution from September to December 2019. The interviews were transcribed and analyzed using the MAXQDA data analysis software. Codes were combined into themes. The respondents were aged 74.5 ± 8.7 years. Two themes emerged from the qualitative data: (i) the conceptualization of frailty; and (ii) coping with frailty. Some of the participants self-identified as frail, a natural consequence of aging. Another group of participants emphasized the feelings of hopelessness and hopefulness in coping with frailty in their remaining lives. This study provides insights into older Turkish adults' opinions regarding frailty, including the development of frailty and its relationship with health status and daily life. This understanding may be used to detect frailty in older adults and to improve frail older adults' care interventions.

Frailty assessment and interventions for community-dwelling older adults: a rapid review

Frailty is a syndrome involving increased vulnerability that usually develops from age-related decline in physiological reserves and function in multiple organ systems, resulting in an impaired ability to respond to acute changes in health conditions. It is imperative that healthcare providers who work with older adults in primary care and community settings understand how to assess frailty and can identify appropriate interventions. This article reports the results of a rapid review that examined how frailty is assessed in community-dwelling older adults and what interventions are used to address frailty in this population.

Abdominal obesity, body mass index and the risk of frailty in community-dwelling older adults: a systematic review and meta-analysis

Obese older people are more likely to be frail than those with a normal body mass index (BMI), but the results of individual studies have been inconsistent. We conducted a systematic review and meta-analysis to clarify the association between obesity and the risk of frailty, and whether there was a relationship between BMI and frailty, in community-dwelling older adults aged ≥60 years. Eight databases (PubMed/MEDLINE, EMBASE, EBSCO, CINAHL, Scopus, Cochrane Library and Web of Science) were systematically searched from inception to August 2020. Relative risks for incident frailty were pooled using a random-effects model. We found a positive association between abdominal obesity and frailty [relative risk (RR) = 1.57, 95% confidence interval (CI) 1.29-1.91, I2 = 48.1%, P = 0.086, six observational studies, 18,764 subjects]. People in the higher category of waist circumference had a pooled 57% higher risk of frailty than those with a normal waist circumference. In addition, a total of 12 observational studies comprising 37,985 older people were included in the meta-analysis on the relationship between BMI and the risk for frailty. Taking the normal BMI as the reference group, the pooled RR of frailty risk ranged from 1.45 (95% CI 1.10-1.90, I2 = 83.3%; P < 0.01) for the underweight group, to 0.93 (95% CI 0.85-1.02, I2 = 34.6%; P = 0.114) for the overweight group and to 1.40 (95% CI 1.17-1.67, I2 = 86.1%; P < 0.01) for the obese group. We have shown that obesity or underweight is associated with an increased risk of frailty in community-dwelling older adults.

Prevalence of Frailty in Patients Referred to the Kidney Transplant Waitlist

Background

Comparisons between frailty assessment tools for waitlist candidates are a recognized priority area for kidney transplantation. We compared the prevalence of frailty using three established tools in a cohort of waitlist candidates.

Methods

Waitlist candidates were prospectively enrolled from 2016 to 2020 across five centers. Frailty was measured using the Frailty Phenotype (FP), a 37-variable frailty index (FI), and the Clinical Frailty Scale (CFS). The FI and CFS were dichotomized using established cutoffs. Agreement was compared using κ coefficients. Area under the receiver operating characteristic (ROC) curves were generated to compare the FI and CFS (treated as continuous measures) with the FP. Unadjusted associations between each frailty measure and time to death or waitlist withdrawal were determined using an unadjusted Cox proportional hazards model.

Results

Of 542 enrolled patients, 64% were male, 80% were White, and the mean age was 54±14 years. The prevalence of frailty by the FP was 16%. The mean FI score was 0.23±0.14, and the prevalence of frailty was 38% (score of ≥0.25). The median CFS score was three (IQR, 2-3), and the prevalence was 15% (score of ≥4). The κ values comparing the FP with the FI (0.44) and CFS (0.27) showed fair to moderate agreement. The area under the ROC curves for the FP and FI/CFS were 0.86 (good) and 0.69 (poor), respectively. Frailty by the CFS (HR, 2.10; 95% CI, 1.04 to 4.24) and FI (HR, 1.79; 95% CI, 1.00 to 3.21) was associated with death or permanent withdrawal. The association between frailty by the FP and death/withdrawal was not statistically significant (HR, 1.78; 95% CI, 0.79 to 3.71).

Conclusion

Frailty prevalence varies by the measurement tool used, and agreement between these measurements is fair to moderate. This has implications for determining the optimal frailty screening tool for use in those being evaluated for kidney transplant.

Association between frailty and dietary quality in community-dwelling elderly: data from the 6th Korea National Health and Nutrition Examination Survey (2014-2015)

Frailty is a progressive age-related disorder associated with odds ratio for subsequent falls, disability, and mortality. This study analyzed the association between frailty odds ratios and diet quality using the Korean Healthy Eating Index in older individuals. Data were obtained for 2,660 community-dwelling individuals aged ≥60 years who participated in the 6th Korea National Health and Nutrition Survey (2014-2015). Frailty was diagnosed following the Fried phenotype index based on five criteria: unintentional weight loss, emotional exhaustion, low physical activity, slow walking speed, and weak grip strength. The participants were categorized as normal, pre-frail, and frail. Diet quality was assessed using Korean Healthy Eating Index scores calculated based on 24-h dietary recall. Compared to the group with the highest Korean Healthy Eating Index score, the group with low Korean Healthy Eating Index showed a 1.71-fold higher pre-frail odds ratio (95% CI 1.31-2.22, p<0.001) and 1.87-fold higher frail odds ratio (95% CI 1.21-2.91, p = 0.009). Also, compared to the group with the highest adequacy score, the group with the lowest score showed a 1.51-fold higher pre-frail odds ratio (95% CI 1.16-1.96, p = 0.010) and a 2.39-fold higher frail odds ratio (95% CI 1.48-3.86, p = 0.002). The findings of this study suggested that a high-quality diet, as assessed by Korean Healthy Eating Index, was negatively associated with the odds ratio of frailty.

Frailty state utility and minimally important difference: findings from the North West Adelaide Health Study

BACKGROUND

frailty is a dynamic condition for which a range of interventions are available. Health state utilities are values that represent the strength of an individual's preference for specific health states, and are used in economic evaluation. This is a topic yet to be examined in detail for frailty. Likewise, little has been reported on minimally important difference (MID), the extent of change in frailty status that individuals consider to be important.

OBJECTIVES

to examine the relationship between frailty status, for both the frailty phenotype (FP) and frailty index (FI), and utility (preference-based health state), and to determine a MID for both frailty measures.

DESIGN AND SETTING

population-based cohort of community-dwelling Australians.

PARTICIPANT

in total, 874 adults aged ≥65 years (54% female), mean age 74.4 (6.2) years.

MEASUREMENTS

frailty was measured using the FP and FI. Utilities were calculated using the short-form 6D health survey, with Australian and UK weighting applied. MID was calculated cross-sectionally.

RESULTS

for both the FP and FI, frailty was significantly statistically associated (P < 0.001) with lower utility in an adjusted analysis using both Australian and UK weighting. Between-person MID for the FP was identified as 0.59 [standard deviation (SD) 0.31] (anchor-based) and 0.59 (distribution-based), whereas for the FI, MID was 0.11 (SD 0.05) (anchor-based) and 0.07 (distribution-based).

CONCLUSIONS

frailty is significantly associated with lower preference-based health state utility. Frailty MID can be used to inform design of clinical trials and economic evaluations, as well as providing useful clinical information on frailty differences that patients consider important.

Commonly Used Screening Instruments to Identify Frailty Among Community-Dwelling Older People in a General Practice (Primary Care) Setting: A Study of Diagnostic Test Accuracy

BACKGROUND

Rapid frailty screening remains problematic in primary care. The diagnostic test accuracy (DTA) of several screening instruments has not been sufficiently established. We evaluated the DTA of several screening instruments against two reference standards: Fried's Frailty Phenotype [FP] and the Adelaide Frailty Index [AFI]), a self-reported questionnaire.

METHODS

DTA study within three general practices in South Australia. We randomly recruited 243 general practice patients aged 75+ years. Eligible participants were 75+ years, proficient in English and community-dwelling. We excluded those who were receiving palliative care, hospitalized or living in a residential care facility.We calculated sensitivity, specificity, predictive values, likelihood ratios, Youden Index and area under the curve (AUC) for: Edmonton Frail Scale [EFS], FRAIL Scale Questionnaire [FQ], Gait Speed Test [GST], Groningen Frailty Indicator [GFI], Kihon Checklist [KC], Polypharmacy [POLY], PRISMA-7 [P7], Reported Edmonton Frail Scale [REFS], Self-Rated Health [SRH] and Timed Up and Go [TUG]) against FP [3+ criteria] and AFI [>0.21].

RESULTS

We obtained valid data for 228 participants, with missing scores for index tests multiply imputed. Frailty prevalence was 17.5% frail, 56.6% prefrail [FP], and 48.7% frail, 29.0% prefrail [AFI]. Of the index tests KC (Se: 85.0% [70.2-94.3]; Sp: 73.4% [66.5-79.6]) and REFS (Se: 87.5% [73.2-95.8]; Sp: 75.5% [68.8-81.5]), both against FP, showed sufficient diagnostic accuracy according to our prespecified criteria.

CONCLUSIONS

Two screening instruments-the KC and REFS, show the most promise for wider implementation within general practice, enabling a personalized approach to care for older people with frailty.

FRAIL scale: Predictive validity and diagnostic test accuracy

OBJECTIVE

To examine the predictive validity of the FRAIL scale for mortality, and diagnostic test accuracy (DTA) against the frailty phenotype (FP).

MEASUREMENT

Frailty was measured in 846 community-dwelling adults (mean age 74.3 [SD 6.3] years, 54.8% female) using a modified FRAIL scale and modified FP. Mortality was matched to death records.

RESULTS

The FRAIL scale demonstrated significant predictive validity for mortality up to 10 years (Frail adjHR: 2.60, P < .001). DTA findings were acceptable for specificity (86.8%) and Youden index (0.50), but not sensitivity (63.6%), or area under the receiver operator curve (auROC) (0.75). DTA estimates were more acceptable when a cut-point of ≥2 characteristics was used rather than ≥3 in the primary DTA analysis.

CONCLUSION

The FRAIL scale is a valid predictor of mortality. DTA estimates depend on FRAIL scale cut-point used. This instrument is a potentially useful frailty screening tool.

Is living alone a risk factor of frailty? A systematic review and meta-analysis

OBJECTIVES

To examine the association of living alone with frailty in cross-sectional and longitudinal studies by a systematic review and meta-analysis.

DESIGN

Systematic review and meta-analysis.

SETTING AND PARTICIPANTS

Community-dwelling older adults with a mean age of >60 years.

METHODS

A systematic search of the literature was conducted according to the PRISMA guidelines. We searched PubMed in February 2019 without language restriction for cohort studies that examined the associations between living alone and frailty. The reference lists of the relevant articles and the included articles were reviewed for additional studies. We calculated pooled odds ratios (OR) of the presence and incidence of frailty for living alone from cross-sectional and longitudinal studies.

RESULTS

Among the 203 studies identified, data of 44 cross-sectional studies (46 cohorts) and 6 longitudinal studies were included in this review. The meta-analysis showed that older adults living alone were more likely to be frail than those who were not (46 cohorts: pooled OR = 1.28, 95 % confidence interval (CI) = 1.13-1.45, p < 0.001). Gender-stratified analysis showed that only men living alone were at an increased risk of being frail (20 cohorts: pooled OR = 1.71, 95 %CI = 1.49-1.96), while women were not (22 cohorts: pooled OR = 1.00, 95 %CI = 0.83-1.20). No significant association was observed in a meta-analysis of longitudinal studies (6 cohorts: pooled OR = 0.88, 95 %CI = 0.76-1.03).

CONCLUSIONS/IMPLICATIONS

The present systematic review and meta-analysis showed a significant cross-sectional association between living alone and frailty, especially in men. However, living alone did not predict incident frailty. More studies controlling for important confounders, such as social networks, are needed to further enhance our understanding of how living alone is associated with frailty among older adults.

Medication-related criteria in frailty assessment tools: A narrative review

OBJECTIVE

To review medication-related criteria within validated frailty tools.

METHODS

Narrative review of validated frailty assessment tools. Frailty tools were identified from recently published reviews; each tool was reviewed to determine whether any medication-related criteria were included and how these criteria contributed to the scoring/assessment of frailty.

RESULTS

Eight out of 16 validated frailty tools included medication-related criteria. The majority of criteria were a numerical cut-off of number of medications taken; however, the specific cut-off was not consistent.

CONCLUSION

Inclusion of medication-related criteria in frailty tools is highly variable. Future research is required to determine whether incorporation of medication use into frailty assessment can impact outcomes in terms of frailty prevention and treatment.

Cocreation of a digital patient health hub to enhance education and person-centred integrated care post hip fracture: a mixed-methods study protocol

INTRODUCTION

Older people with hip fractures often require long-term care and a crucial aspect is the provision of quality health information to patients and their carers to support continuity of care. If patients are well informed about their health condition and caring needs, particularly posthospital discharge into the community setting, this may support recovery and improve quality of life. As internet and mobile access reach every household, it is possible to deliver a new model of service using a digital education platform as a personal health hub where both patients and their providers of care can establish a more efficient information integration and exchange process. This protocol details proposed research, which aims to develop a 'model of care' by using a digital health solution that will allow delivery of high quality and patient-centred information, integrated into the existing process delivered within the community setting.

METHODS AND ANALYSIS

This phase of the study uses a pragmatic mixed-methods design and a participatory approach through engagement of patients, their carers and healthcare providers from multiple disciplines to inform the development of a digital health platform. Quantitative methods will explore health literacy and e-health literacy among older people with hip fractures admitted to the two public tertiary care hospitals in Adelaide, South Australia. Qualitative methods will provide an understanding of aspects of content and context required for the digital health platform to be developed in order to deliver quality health information. The study will use appropriate theoretical frameworks and constructs to guide the design, analysis and overall conduct of the research study. The scope of the study intends to ultimately empower patients and their carers to improve self-management and to better use coordinated services at the community level. This could prevent further falls including associated injuries or new fractures; reduce new hospital admissions and improve confidence and engagement by limiting the psychologically restrictive 'fear of falls'.

ETHICS AND DISSEMINATION

The study has been approved by the Human Research Ethics Committee of the Central Adelaide Local Health Network, South Australia (SA) Health, Government of South Australia and the University of Adelaide Human Research Ethics Committee. Findings from the study will be published in suitable peer-reviewed journals and disseminated through workshops or conferences.

Prevalence and Associated Factors of Frailty in Community-Dwelling Older Adults in Indonesia, 2014-2015

Objective: The investigation aims to study the prevalence and correlates of frailty in a national community-dwelling sample of older Indonesians. Methods: Participants were 2630 older adults, 60 years and older (median age 66.0 years, interquartile range = 9.0) who took part in the cross-sectional Indonesia Family Life Survey (IFLS-5) in 2014–2015. They were requested to provide information about sociodemographic and various health variables, including frailty. Multivariable Poisson regression analysis was utilized to estimate the correlates of socio-demographic factors, health variables, and frailty. Results: The overall prevalence of frailty was 8.1%; 61.6% were prefrail. In adjusted Poisson regression analysis, older age, being unmarried, separated, divorced or widowed, residing in Java and major island groups, poor cognitive functioning, loneliness, and functional disability were associated with frailty. Conclusion: Several sociodemographic and health risk factors for frailty were identified that can help in guiding intervention strategies in Indonesia.

Systematic review and meta-analysis of the association between smoking and the incidence of frailty

BACKGROUND AND OBJECTIVE

Cigarette smoking is one of the main causes of health problems in the world and can also lead to an increased risk of frailty. Our goal is to perform a systematic review and meta-analysis of the relationship between smoking and frailty.

METHODS

Researchers searched PubMed, Scopus, Google Scholar and Research Gate by using keywords through December 2018. Eligible articles were merged and a meta-analysis was conducted using the random effects method. Finally an analysis was done based on smoking status, and publication bias was assessed as well.

RESULTS

The population analyzed comprised 61,905 people. The risk ratio (RR) of frailty based on smoking was 1.22 with a confidence interval (CI) of 1.12-1.33 (p < 0.001). In current smokers, the RR was 1.63 (p < 0.001). No significant difference was found in former smokers. The results indicated a publication bias in the studies included into the meta-analysis.

DISCUSSION

Smoking increases the risk of disability; therefore, the provision of cigarette smoking cessation treatment can reduce this risk. As the results also showed, former smokers are less likely to be frail.

Accessing the discriminatory performance of FRAIL-NH in two-class and three-class frailty and examining its agreement with the frailty index among nursing home residents in mainland China

Background

FRAIL-NH has been commonly used to assess frailty in nursing home residents and validated in many ethnic populations; however, it has not been validated in mainland China, where such an assessment tool is lacking. This study aimed to (1) assess the discriminatory performance of FRAIL-NH in two-class frailty (non-frail+ pre-frail vs. frail) and three-class frailty (non-frail vs. pre-frail vs. frail), based on the Frailty Index (FI), (2) determine the appropriate cutoff points for FRAIL-NH that distinguish two-class and three-class frailty, and (3) examine the agreement in classification between FRAIL-NH and FI.

Methods

A cross-sectional study of 302 residents aged 60 years or older from six nursing homes in Changsha was conducted. The FRAIL-NH scale and 34-item FI were used to measure frailty. Two-way and three-way receiver operating characteristic (ROC) curves were used to estimate the performance of FRAIL-NH. Cohen’s Kappa statistics were used to examine the agreement between these two measures.

Results

The agreement between FRAIL-NH and FI ranged from 0.33 to 0.55. Regardless of what FI cutoff points were based on, the volume under the ROC surface (VUS) for FRAIL-NH from the three-way ROC were higher than the VUS of a useless test (1/6), and the area under the ROC curve (AUC) for FRAIL-NH from the two-way ROC were higher than the clinically meaningless value (0.5). When using FI cutoff points of 0.20 for pre-frail and 0.45 for frail, FRAIL-NH cutoff points of 1 and 9 in classifying three-class frailty had the highest VUS and the largest correct classification rates. Whichever FI was chosen, the performance of FRAIL-NH in distinguishing between pre-frailty and frailty, and between non-frailty and pre-frailty was equivalent. According to FRAIL-NH, the proportion of individuals with frailty misclassified as pre-frailty was higher than that of individuals with non-frailty misclassified as pre-frailty.

Conclusion

FRAIL-NH can be used as a preliminary frailty screening tool in nursing homes in mainland China. FI should be further used especially for those classified as pre-frailty by FRAIL-NH. It is not advisable to simply combine adjacent two classes of FRAIL-NH to create a new frailty variable in research settings.

Recurrent Measurement of Frailty Is Important for Mortality Prediction: Findings from the North West Adelaide Health Study

OBJECTIVES

Frailty places individuals at greater risk of adverse health outcomes. However, it is a dynamic condition and may not always lead to decline. Our objective was to determine the relationship between frailty status (at baseline and follow-up) and mortality using both the frailty phenotype (FP) and frailty index (FI).

DESIGN

Population-based cohort.

SETTING

Community-dwelling older adults.

PARTICIPANTS

A total of 909 individuals aged 65 years or older (55% female), mean age 74.4 (SD 6.2) years, had frailty measurement at baseline. Overall, 549 participants had frailty measurement at two time points.

MEASUREMENTS

Frailty was measured using the FP and FI, with a mean 4.5 years between baseline and follow-up. Mortality was matched to official death records with a minimum of 10 years of follow-up.

RESULTS

For both measures, baseline frailty was a significant predictor of mortality up to 10 years, with initially good predictive ability (area under the curve [AUC] = .8-.9) decreasing over time. Repeated measurement at follow-up resulted in good prediction compared with lower (AUC = .6-.7) discrimination of equivalent baseline frailty status. In a multivariable model, frailty measurement at follow-up was a stronger predictor of mortality compared with baseline. Frailty change for the Continuous FI was a significant predictor of decreased or increased mortality risk based on corresponding improvement or worsening of score (hazard ratio = 1.04; 95% confidence interval = 1.02-1.07; P = .001).

CONCLUSIONS

Frailty measurement is a good predictor of mortality up to 10 years; however, recency of frailty measurement is important for improved prediction. A regular review of frailty status is required in older adults. J Am Geriatr Soc 67:2311-2317, 2019.

Frailty prevalence using Frailty Index, associated factors and level of agreement among frailty tools in a cohort of Japanese older adults

Frailty prevalence defined by the deficit accumulation model (Frailty Index) has limited exploration in a Japanese population. The objective of this paper is to investigate the prevalence of frailty by Frailty Index among a cohort of healthy Japanese older adults, define risk factors associated with pre-frailty and frailty status and evaluate Frailty Index's agreement with Frailty Phenotype and Kihon checklist.

METHODS

Data from 673 participants of the 2014 wave of the Nagoya Longitudinal Study - Healthy Elderly were used. Annual assessments include investigation of mood, memory, health status, nutrition, physical performance and oral health. The Frailty Index was compared to Frailty Phenotype and Kihon Checklist, and factors associated to Frailty Index were investigated through univariate and multivariate logistic regression.

RESULTS

Frailty prevalence was 13.5% (n = 91) by Frailty Index, 1.5% (n = 10) by Frailty Phenotype and 4% (n = 27) by Kihon Checklist. Although the correlations between the three scales were moderate to high, the agreement between the scales was poor. In terms of risk factors, age, polypharmacy and physical activity level were associated with being pre-frail and frail. Having a higher waist circumference was associated with being pre-frail, and lower handgrip strength and lower walking speed were associated with being frail.

CONCLUSIONS

The Frailty Index showed similar metrics and agreement comparable to findings of previous studies, and was able to identify a higher number of individuals who were pre-frail and frail. Age, polypharmacy, physical activity, waking speed and waist circumference were associated with pre-frailty and frailty by frailty index.

Geospatial modelling of the prevalence and changing distribution of frailty in Australia - 2011 to 2027

BACKGROUND AND OBJECTIVES

Detailed information about the current and future geographic distribution of Australia's frail population provides critical evidence to inform policy, resource allocation and planning initiatives that aim to treat and reverse frailty. Frailty is associated with poor health outcomes, including disability and death. It is also characterised by increased health care usage and costs. Understanding the distribution and growth of frailty is important for planning and budgeting service provision and health interventions aimed to support the needs of Australia's growing ageing population. The objective of this research is to provide baseline mapping and area level population estimates of Australia's current and future frail and pre-frail populations.

RESEARCH DESIGN AND METHODS

Geospatial modelling was applied to national frailty prevalence rates to provide estimates of the size, distribution and potential growth of Australia's frail and pre-frail population.

RESULTS

It is estimated that in 2016 approximately 415,769 people living in Australia aged 65 years or more are frail and almost 1.7 million people are pre-frail. In future years, as the population ages, these figures will increase rapidly, reaching 609,306 frail and 2,248,977 pre-frail by 2027, if prevalence continues at current levels. The geographic distribution of this projected growth is not uniform and while the largest frail populations will continue to be located in the major cities, the fastest growth will be in the outer metropolitan, regional and remote areas.

DISCUSSION AND IMPLICATIONS

The projected growth of frail populations in outer metropolitan, regional and remote areas may be reduced by targeting health interventions in these areas and improving access to support services. Frailty is a dynamic condition that is amenable to intervention. Reducing frailty will lead to benefits in wellbeing for older Australians in addition to reductions in health care costs.

Frailty, inequality and resilience

Frailty is a common condition in later life in which minor stressors may result in major changes in health. While the biological mechanisms of frailty are increasingly understood, relationships with the wider determinants of health, health inequalities and the concept of resilience are less well-established and the role of the clinician in their modification is less well understood.The wider determinants are the modifiable conditions in which people are born, grow, work and live, and the wider set of systems shaping the conditions of daily life. They interact across the life course, driving a well-recognised social gradient in health. The wider determinants are closely linked to the concept of resilience, which is the process of effectively negotiating, adapting to or managing significant sources of stress or trauma. Better recognition of the relationship between frailty, the wider determinants, inequalities and resilience can enable a framework around which policy responses may be developed to build resilience in people living with frailty at an individual and community level as well as enabling clinicians to better identify how they may support their patients.

Assessing Frailty in Chinese Nursing Home Older Adults: A Comparison between the Frail-NH Scale and Frailty Index

OBJECTIVE

(1) To establish appropriate FRAIL-NH cutoff points in nursing homes in Mainland China; (2) To compare the FRAIL-NH scale and Frailty Index in assessing frailty prevalence and associated factors in nursing homes.

DESIGN

A cross-sectional study.

SETTING

Six nursing homes in Changsha, China.

PARTICIPANTS

A total of 302 residents aged 60 years or older (mean aged 82.71±8.49, 71.2% female).

MEASUREMENTS

Frailty was assessed using the 34-item Frailty Index and the FRAIL-NH scale.

RESULTS

The appropriate FRAIL-NH cutoff points to classify frail status and frailest status were 1.5 (87.6% sensitivity, 63.3% specificity) and 7.5 (94.1% sensitivity, 73.4% specificity), respectively. Based on the FRAIL-NH and Frailty Index, 69.5% (48% for frail and 21.5% for frailest), and 66.5% (60.9% for frail and 5.6% for frailest) of residents were at risk of frailty, respectively. There was no statistically significant difference in the total frailty prevalence assessed by FRAIL-NH and Frailty Index (χ2=0.617, P=0.432). The FRAIL-NH Scale is significantly associated with the Frailty Index (correlation coefficient (r) = 0.74, P < 0.001), but there was a Kappa agreement of 0.39 for frailty classification between the FRAIL-NH and Frailty Index, with the Frailty Index classifying a larger number of individuals as frail. When using FRAIL-NH scale, disease and self-reported health status were associated with frail and frailest status while age was just associated with frailest status. regarding the Frailty Index, age, diseases, medications and self-reported health status were associated with frail and frailest status.

CONCLUSION

The FRAIL-NH is a simple and effective tool to assess the overall frailty rate in nursing homes, and the Frailty Index may be more suitable capturing the multidimensionality of frailty at an individual level. Careful consideration in the selection of a frailty instrument, based on the intended purpose, is necessary.

Symptomatic Hypercalcemia in Patients with Primary Hyperparathyroidism Is Associated with Severity of Disease, Polypharmacy, and Comorbidity

Current primary hyperparathyroidism (PHPT) clinical presentation is asymptomatic in more than 90% of patients, while symptoms concern osteoporosis and rarely kidney stones. Here, we retrospectively investigated the prevalence of PHPT patients presenting with hypercalcemic-related symptoms (HS-PHPT) as cognitive impairment, changes in sensorium, proximal muscle weakness, nausea and vomiting, constipation, and severe dehydration, in a single center equipped with an emergency department and described their clinical features and outcome in comparison with a series of asymptomatic PHPT out-patients (A-PHPT). From 2006 to 2016, 112 PHPT patients were consecutively diagnosed: 16% (n = 18, 3M/15F) presented with hypercalcemic-related symptoms. Gastrointestinal symptoms occurred in 66% of HS-PHPT patients and cognitive impairment in 44%; one woman experienced hypertensive heart failure. Two-thirds of HS-PHPT patients were hospitalized due to the severity of symptoms. Comparing the clinical features of HS-PHPT patients with A-PHPT patients, no gender differences were detected in the two groups, while HS-PHPT patients were older at diagnosis (71 (61-81) vs. 64 (56-74) years, P=0.04; median (IQR)). HS-PHPT patients presented higher albumin-corrected calcium levels (12.3 (11.3-13.7) vs. 10.6 (10.3-11.3) mg/dl, P < 0.001); 4 HS-PHPT presented corrected calcium levels >14 mg/dl. Serum PTH levels and total alkaline phosphatase activity were higher in HS-PHPT. Reduced kidney function (eGFR < 45 ml/min) was prevalent in HS-PHPT patients (42% vs. 5%, P=0.05). No differences in kidney stones and osteoporosis were detected, as well as in the rates of cardiovascular comorbidities and main cardiovascular risk factors. HS-PHPT patients had an age-adjusted Charlson Comorbidity Index higher than that of the A-PHPT patients and were on chronic therapy with a greater number of medications than A-PHPT patients. In conclusion, hypercalcemic-related symptoms occurred in 16% of PHPT patients. Risk factors were severity of the parathyroid tumor function, multimorbidity, and polypharmacy.

Frailty state transitions and associated factors in South Australian older adults

AIM

Frailty is a state of decreased physiological reserve and vulnerability to stressors. Understanding the characteristics of those most at risk of worsening, or likely to improve their frailty status, are key elements in addressing this condition. The present study measured frailty state transitions and factors associated with improvement or worsening frailty status in the North West Adelaide Health Study.

METHODS

Frailty was measured using the frailty phenotype (FP) and a 34-item frailty index (FI) for 696 community-dwelling participants aged ≥65 years, with repeated measures at 4.5-year follow up.

RESULTS

Improvement in frailty state was common for both tools (FP 15.5%; FI 7.9%). The majority remained stable (FP 44.4%; FI 52.6%), and many transitioned to a worse level of frailty (FP 40.1%; FI 39.5%). For both measures, multimorbidity was associated with worsening frailty among non-frail participants. Among pre-frail participants, normal waist circumference was associated with improvement, whereas older age was associated with worsening of frailty status. Among frail individuals, younger age was associated with improvement, and male sex and older age were associated with worsening frailty status.

CONCLUSIONS

Frailty is a dynamic process where improvement is possible. Multimorbidity, obesity, age and sex were associated with frailty transitions for both tools. Geriatr Gerontol Int 2018; 18: 1549-1555.