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

Abstract 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.

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Prevalence of Physical Frailty: Results from the DO-HEALTH Study

Journal of Frailty & Aging ◽

10.14283/jfa.2021.18 ◽

2021 ◽

pp. 1-8

Author(s):

M. Gagesch ◽

P.O. Chocano-Bedoya ◽

L.A. Abderhalden ◽

G. Freystaetter ◽

A. Sadlon ◽

...

Keyword(s):

Controlled Trial ◽

Frailty Index ◽

Female Gender ◽

Community Dwelling ◽

Health Study ◽

Geriatric Syndrome ◽

Physical Frailty ◽

Frailty Phenotype ◽

Cross Sectional ◽

Frailty Status

Background: Frailty is a geriatric syndrome associated with multiple negative health outcomes. However, its prevalence varies by population and instrument used. We investigated frailty and pre-frailty prevalence by 5 instruments in community-dwelling older adults enrolled to a randomized-controlled trial in 5 European countries. METHODS: Cross-sectional baseline analysis in 2,144 DO-HEALTH participants recruited from Switzerland, Austria, France, Germany, and Portugal with complete data for frailty. Frailty status was assessed by the Physical Frailty Phenotype [PFP], SOF-Frailty Index [SOF-FI], FRAIL-Scale, SHARE-Frailty Instrument [SHARE-FI], and a modified SHARE-FI, and compared by country, age, and gender. Logistic regression was used to determine relevant factors associated with frailty and pre-frailty. RESULTS: Mean age was 74.9 (±4.4) years, 61.6% were women. Based on the PFP, overall frailty and pre-frailty prevalence was 3.0% and 43.0%. By country, frailty prevalence was highest in Portugal (13.7%) and lowest in Austria (0%), and pre-frailty prevalence was highest in Portugal (57.3%) and lowest in Germany (37.1%). By instrument and overall, frailty and pre-frailty prevalence was highest based on SHARE-FI (7.0% / 43.7%) and lowest based on SOF-FI (1.0% / 25.9%). Frailty associated factors were residing in Coimbra (Portugal) [OR 12.0, CI 5.30-27.21], age above 75 years [OR 2.0, CI 1.17-3.45], and female gender [OR 2.8, CI 1.48-5.44]. The same three factors predicted pre-frailty. CONCLUSIONS: Among relatively healthy adults age 70 and older enroled to DO-HEALTH, prevalence of frailty and pre-frailty differed significantly by instrument, country, gender, and age. Among instruments, the highest prevalence of frailty and pre-frailty was documented by the SHARE-FI and the lowest by the SOF-FI.

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The Influence of Dysphagia on Nutritional and Frailty Status among Community-Dwelling Older Adults

Nutrients ◽

10.3390/nu13020512 ◽

2021 ◽

Vol 13 (2) ◽

pp. 512

Author(s):

Takahiro Nishida ◽

Kazumi Yamabe ◽

Sumihisa Honda

Keyword(s):

Older Adults ◽

At Risk ◽

Short Form ◽

Multiple Logistic Regression Analysis ◽

Community Dwelling ◽

Health Study ◽

Cardiovascular Health Study ◽

Swallowing Function ◽

Frailty Status ◽

Community Dwelling Older Adults

Malnutrition is a core symptom of the frailty cycle in older adults. The purpose of this study was to investigate whether dysphagia influences nutrition or frailty status in community-dwelling older adults. The study participants were 320 Japanese community-dwelling older adults aged ≥65 years. All participants completed a questionnaire survey that included items on age, sex, family structure, self-rated health, nutritional and frailty status, and swallowing function. Nutritional status was categorized as malnourished, at risk of malnutrition, and well-nourished based on the Mini Nutrition Assessment-Short Form. The participants were then classified into a malnutrition (malnourished/at risk) or a well-nourished group (well-nourished). Frailty was assessed using the Cardiovascular Health Study criteria. The participants were then divided into a frailty (frail/pre-frail) or a non-frailty group (robust). Dysphagia was screened using the 10-item Eating Assessment Tool. Multiple logistic regression analysis was conducted to determine whether dysphagia was associated with nutritional or frailty status. The results revealed that dysphagia influenced both nutrition (odds ratio [OR]: 4.0; 95% confidence interval [CI]: 1.9–8.2) and frailty status (OR: 2.3; 95% CI: 1.0–5.2); therefore, the swallowing function would be an important factor for community-dwelling older adults on frailty prevention programs.

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Letter to the Editor: Exploring Associations Between Oral Health and Frailty in Community-Dwelling Older People

Journal of Frailty & Aging ◽

10.14283/jfa.2021.10 ◽

2021 ◽

pp. 1-1

Author(s):

R.C. Castrejón-Pérez

Keyword(s):

Oral Health ◽

Older People ◽

Medical Record ◽

Frailty Index ◽

Community Dwelling ◽

Frailty Phenotype ◽

Cross Sectional ◽

Frailty Status ◽

Community Dwelling Older People ◽

Oral Conditions

The studies exploring the association between oral conditions and Frailty status are increasing in number, and many manuscripts have been published during the last couple of years. Even when Everaars et al. (1) manuscript is cross-sectional, it contributes to the knowledge by confirming the association between oral conditions and Frailty despite the selected strategy for measuring Frailty since authors added the interview Groningen Frailty Index and the Frailty Index (computed with data extracted from the Electronic Medical Record) to the most frequently used Frailty Phenotype and Kihon checklist (2).

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Frailty and Prodromal Parkinson’s Disease: Results From the HELIAD Study

The Journals of Gerontology Series A ◽

10.1093/gerona/glaa191 ◽

2020 ◽

Author(s):

Eva Ntanasi ◽

Maria Maraki ◽

Mary Yannakoulia ◽

Maria Stamelou ◽

Georgia Xiromerisiou ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Frailty Index ◽

Disease Diagnosis ◽

Community Dwelling ◽

Older Individuals ◽

Linear Regression Models ◽

Frailty Phenotype ◽

Frailty Status ◽

Underlying Mechanisms

Abstract Background To investigate the association between frailty, Parkinson’s disease (PD), and the probability of prodromal Parkinson’s disease (prodromal PD) in Greek community-dwelling older individuals. Methods Parkinson’s disease diagnosis was reached through standard clinical research procedures. Probability of prodromal PD was calculated according to the International Parkinson and Movement Disorder Society’s research criteria for PD-free participants. Frailty was evaluated according to definitions of the phenotypic and multidomain approach. Logistic and linear regression models were performed to investigate associations between frailty (predictor) and the probability of prodromal PD, either continuous or dichotomous (≥30% probability score), or PD (outcome). Results Data from 1765 participants aged 65 and older were included in the present analysis. Parkinson’s disease and prodromal PD prevalence were 1.9% and 3.0%, respectively. Compared to nonfrail participants, those who were frail, as identified with either the Fried frailty phenotype or Frailty Index had approximately 4 (odds ratio [OR] 4.09, 95% confidence interval [CI] 1.54–10.89) and 12 times (OR 12.16, 95% CI 5.46–27.09) higher odds of having a PD diagnosis, respectively. Moreover, compared to the nonfrail, frail participants as identified with either the Fried frailty phenotype or Frailty Index had 2.8 (OR 2.83, 95% CI 1.09–7.37) and 8.3 times (OR 8.39, 95% CI 4.56–15.42) higher odds of having possible/probable prodromal PD, respectively. Conclusions Frailty status was associated with prodromal PD and PD, suggesting common characteristics or underlying mechanisms of these conditions. Although prospective studies are warranted, acknowledging the possible association of frailty, PD, and prodromal PD may improve their clinical management.

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Frailty Status and All-Cause Mortality in the Community-Dwelling Older People: An Umbrella Review

Innovation in Aging ◽

10.1093/geroni/igaa057.1580 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 488-489

Author(s):

A R M Saifuddin Ekram ◽

Joanne Ryan ◽

Carlene Britt ◽

Sara Espinoza ◽

Robyn Woods

Keyword(s):

Older People ◽

Systematic Reviews ◽

Community Dwelling ◽

Umbrella Review ◽

Frailty Phenotype ◽

Frailty Status ◽

Increased Risk ◽

All Cause Mortality ◽

Community Dwelling Older People ◽

Meta Analyses

Abstract Frailty is increasingly recognised for its association with adverse health outcomes including mortality. However, various measures are used to assess frailty, and the strength of association could vary depending on the specific definition used. This umbrella review aimed to map which frailty scale could best predict the relationship between frailty and all-cause mortality among community-dwelling older people. According to the PRISMA guidelines, Medline, Embase, EBSCOhost and Web of Science databases were searched to identify eligible systematic reviews and meta-analyses which examined the association between frailty and all-cause mortality in the community-dwelling older people. Relevant data were extracted and summarised qualitatively. Methodological quality was assessed by AMSTAR-2 checklist. Five moderate-quality systematic reviews with a total of 374,529 participants were identified. Of these, two examined the frailty phenotype and its derivatives, two examined the cumulative deficit models and the other predominantly included studies assessing frailty with the FRAIL scale. All of the reviews found a significant association between frailty status and all-cause mortality. The magnitude of association varied between individual studies, with no consistent pattern related to the frailty measures that were used. In conclusion, regardless of the measure used to assess frailty status, it is associated with an increased risk of all-cause mortality.

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444Frailty status and all-cause mortality in the community-dwelling individuals: An umbrella review

International Journal of Epidemiology ◽

10.1093/ije/dyab168.190 ◽

2021 ◽

Vol 50 (Supplement_1) ◽

Author(s):

A R M Saifuddin Ekram ◽

Joanne Ryan ◽

Carlene Britt ◽

Sara Espinoza ◽

Robyn Woods

Keyword(s):

Systematic Reviews ◽

Critical Appraisal ◽

Frailty Index ◽

Community Dwelling ◽

Umbrella Review ◽

Deficit Accumulation ◽

Frailty Phenotype ◽

Essential Information ◽

Increased Risk ◽

All Cause Mortality

Abstract Background Frailty is increasingly recognised for its association with adverse health outcomes, including mortality. However, various measures are used to assess frailty, and the strength of association could vary depending on the specific definition used. This umbrella review aims to map which frailty scale can best predict the relationship between frailty and all-cause mortality among community-dwelling older people. Methods A protocol was registered at PROSPERO, and it was conducted following the PRISMA statement. MEDLINE, Embase, PubMed, Cochrane Database of Systematic Reviews, Joanna Briggs Institute (JBI) EBP database, and Web of Science database was searched. Methodological quality was assessed using the JBI critical appraisal checklist and online AMSTAR-2 critical appraisal checklist. For eligible studies, essential information was extracted and synthesized qualitatively. Results Five systematic reviews were included, with a total of 434,115 participants. Three systematic reviews focused on single frailty scales; one evaluated Fried's physical frailty phenotype and its modifications; another focused on the deficit accumulation frailty index. The third evaluated the FRAIL (Fatigue, Resistance, Ambulation, Illness, and Loss of weight) scale. The two other systematic reviews determined the association between frailty and mortality using different frailty scales. All of the systematic reviews found that frailty was significantly associated with all-cause mortality. Conclusion This umbrella review demonstrates that frailty is a significant predictor of all-cause mortality, irrespective of the specific frailty scale. Key messages Frailty is associated with an increased risk of all-cause mortality in community-dwelling individuals signifying the importance of assessment in the primary healthcare setting.

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HOW DO COMMUNITY PHYSICAL AND OCCUPATIONAL THERAPISTS CLASSIFY FRAILTY? A PILOT STUDY

Journal of Frailty & Aging ◽

10.14283/jfa.2014.32 ◽

2014 ◽

pp. 1-4

Author(s):

K.P. ROLAND ◽

O. THEOU ◽

J.M. JAKOBI ◽

L. SWAN ◽

G.R. JONES

Keyword(s):

Cardiovascular Health ◽

Healthcare Professionals ◽

Frailty Index ◽

Occupational Therapists ◽

Community Dwelling ◽

Health Study ◽

Cardiovascular Health Study ◽

Geriatric Syndrome ◽

Dimensional Approach

Background: Frailty is a complex geriatric syndrome that is often difficult to diagnose, especially by healthcare professionals working in the community. Objectives, Measurements: This study examined how physical and occupational therapists classified community-dwelling clients using categories of ‘nonfrail’, ‘prefrail’ or ‘frail’ as compared to measurements of established frailty criteria from the Cardiovascular Health Study frailty index (CHSfi). Results: Results indicate that community therapists underestimate frailty in comparison to the CHSfi. Therapists’ classification of frailty suggested their perceptions of frailty may not only relate to client’s functional capacity, but the context in which the client receives care. Conclusion: A multi-dimensional approach is required to capture all aspects of frailty across the healthcare continuum that accounts for how the client thrives within their personal environment.

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CONCURRENCE OF FRAILTY AND PARKINSON’S DISEASE

Journal of Frailty & Aging ◽

10.14283/jfa.2012.20 ◽

2012 ◽

pp. 1-5

Author(s):

K.P. ROLAND ◽

K.M.D. CORNETT ◽

O. THEOU ◽

J.M. JAKOBI ◽

G.R. JONES

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cardiovascular Health ◽

Community Dwelling ◽

Health Study ◽

Cardiovascular Health Study ◽

Physical Frailty ◽

Levodopa Dose ◽

Frailty Phenotype ◽

Age Related

Background: Females with Parkinson’s disease (PD) are at greater risk of frailty than males. Little is known about how age and disease-related characteristics influence frailty in females with PD because frailty studies often exclude persons with underlying neurological pathologies. Objective: To determine age and diseaserelated characteristics that best explain physical frailty in community-dwelling females with and without PD. Design & Measurement: Correlation coefficients described relationships between PD-related characteristics and physical frailty phenotype criteria (Cardiovascular Health Study). Regression analysis identified associations between disease-related characteristics and frailty in non-PD and PD females. Setting: Community-dwelling. Participants: Females with mild to moderate PD (n = 17, mean age = 66 ± 8.5 years) and non-PD (n = 18, mean age = 72 ± 13.2 years) participated. Results: Daily carbidopa-levodopa dose best explained frailty in PD females (β = 0.5), whereas in non-PD females, age (β = 0.7) and comorbidity (β = 0.5) were most associated with frailty. Conclusions: Dopaminergic medication explained frailty in PD and not measures of disease progression (i.e. severity, duration). In females without PD age-related accumulation of comorbidities resulted in greater risk of frailty. This indicates dopaminergic management of PD symptoms may better reflect frailty in females with PD than disease severity or duration. These data suggest the influence of underlying frailty should be considered when managing neurological conditions. Understanding how frailty concurrently exists with PD and how these conditions progress within the aging female will facilitate future care management.

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Abstract P411: Longitudinal Association Between Frailty and Arterial Stiffness in Community-dwelling Older Adults: The Atherosclerosis Risk in Communities Study

Circulation ◽

10.1161/circ.141.suppl_1.p411 ◽

2020 ◽

Vol 141 (Suppl_1) ◽

Author(s):

Alvin G Thomas ◽

Anna Kucharska-Newton ◽

Jingkai Wei ◽

Priya Palta ◽

Sheila Burgard ◽

...

Keyword(s):

Older Adults ◽

Community Dwelling ◽

Frailty Phenotype ◽

Cross Sectional ◽

Arterial Stiffening ◽

Atherosclerosis Risk In Communities ◽

Loss To Follow Up ◽

Frailty Status ◽

Longitudinal Association ◽

Aortic Stiffening

Introduction: Frailty is predictive of cardiovascular disease and is suggested to co-occur with arterial stiffening, the hallmark of vascular aging. However, the temporal relationship is uncertain. Using the ARIC study, we examine the association of baseline frailty with cross-sectional and 5-year change in carotid-femoral pulse wave velocity (cfPWV) in older adults. Methods: Participants at visit 5 (2011-2013) were classified as frail (≥3 criteria), prefrail (1-2 criteria), or robust using the Fried frailty phenotype criteria (unintentional weight loss, exhaustion, grip strength, slow walking speed, and low physical activity). We measured cfPWV at visits 5 and 6/7 (2016-2019). We used linear regression with inverse-probability of attrition weights to estimate the association between frailty and 5-year change in cfPWV while accounting for loss-to-follow-up among survivors. Models were adjusted for age, sex, race-center, mean arterial pressure, height, heart rate, smoking, and time between visits. Results: Of 5,096 participants at visit 5 (58% female, 21% black, mean age 75 [SD 5.1] years), 296 (6%) were frail and 2403 (47%) prefrail. In adjusted analyses at visit 5, frail participants had 30 cm/s (95% CI: -9, 69; p=0.1) higher cfPWV and prefrail participants had 12 cm/s (95% CI: -5, 30; p=0.2) higher cfPWV than those classified as robust (Table 1). In longitudinal analyses adjusted for attrition, we observed a 3 cm/s (95% CI: -11, 19; p=0.6) and 6 cm/s (95% CI: 0, 12; p=0.05) greater annualized increase in cfPWV over ~5 years among frail and prefrail participants, respectively, relative to the rate of arterial stiffening among robust participants (26 cm/s per year). Conclusions: Compared to robust older adults, greater aortic stiffness was observed among frail community-dwelling adults. Changes in aortic stiffening over the course of 5 years were not materially influenced by frailty status at baseline. Frail older adults may present with greater arterial aging and its associated hemodynamic effects on target organs.

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Is there an association between ageist attitudes and frailty?

BMC Geriatrics ◽

10.1186/s12877-019-1357-y ◽

2019 ◽

Vol 19 (1) ◽

Author(s):

Douglas Salguero ◽

Juliana Ferri-Guerra ◽

Nadeem Y. Mohammed ◽

Dhanya Baskaran ◽

Raquel Aparicio-Ugarriza ◽

...

Keyword(s):

Older Adults ◽

Logistic Regression ◽

Multinomial Logistic Regression ◽

Frailty Index ◽

Cross Sectional Study ◽

Community Dwelling ◽

Outcome Variable ◽

Cross Sectional ◽

Logistic Regression Models ◽

Frailty Status

Abstract Background Frailty is defined as a state of vulnerability to stressors that is associated with higher morbidity, mortality and healthcare utilization in older adults. Ageism is “a process of systematic stereotyping and discrimination against people because they are old.” Explicit biases involve deliberate or conscious controls, while implicit bias involve unconscious processes. Multiple studies show that self-directed ageism is a risk factor for increased morbidity and mortality. The purpose of this study was to determine whether explicit ageist attitudes are associated with frailty in Veterans. Methods This is a cross-sectional study of Veterans 50 years and older who completed the Kogan’s Attitudes towards Older People Scale (KAOP) scale to assess explicit ageist attitudes and the Implicit Association Test (IAT) to evaluate implicit ageist attitudes from July 2014 through April 2015. We constructed a frailty index (FI) of 44 variables (demographics, comorbidities, number of medications, laboratory tests, and activities of daily living) that was retrospectively applied to the time of completion of the KAOP and IAT. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by multinomial logistic regression models with frailty status (robust, prefrail and frail) as the outcome variable, and with KAOP and IAT scores as the independent variables. Age, race, ethnicity, median household income and comorbidities were considered as covariates. Results Patients were 89.76% male, 48.03% White, 87.93% non-Hispanic and the mean age was 60.51 (SD = 7.16) years. The proportion of robust, pre-frail and frail patients was 11.02% (n = 42), 59.58% (n = 227) and 29.40% (n = 112) respectively. The KAOP was completed by 381 and the IAT by 339 participants. In multinomial logistic regression, neither explicit ageist attitudes (KAOP scale score) nor implicit ageist attitudes (IAT) were associated with frailty in community dwelling Veterans after adjusting for covariates: OR = .98 (95% CI = .95–1.01), p = .221, and OR:=.97 (95% CI = .37–2.53), p = .950 respectively. Conclusions This study shows that neither explicit nor implicit ageist attitudes were associated with frailty in community dwelling Veterans. Further longitudinal and larger studies with more diverse samples and measured with other ageism scales should evaluate the independent contribution of ageist attitudes to frailty in older adults.

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