Frailty as a predictor of hospitalisation among community-dwelling older people: a systematic review and meta-analysis

Protein Intake and Frailty: A Matter of Quantity, Quality, and Timing

Frailty is a geriatric syndrome that refers to a state of reduced resiliency to stressful events that occurs in response to physiological and/or psychosocial detriments. Frailty is a predictor of poor prognosis, given that frail older adults are at higher risk of many adverse health-related events. Hence, the identification of potential strategies to prevent the development and progression of frailty is of extreme importance for avoiding its negative outcomes. An adequate protein consumption is advocated as a possible intervention for the management of frailty in older adults due to its effects on muscle mass and physical function. However, empirical evidence is still needed to support this proposition. On the other hand, substantial evidence from observational studies has provided important information on the association between frailty and dietary protein-related parameters. Here, we provide a narrative review of the current literature regarding the association between protein intake (amount (how much?), quality (what type?), and distribution across meals (when?)) and frailty-related parameters. The ultimate aim of this work is to offer practical, evidence-based indications to healthcare professionals responsible for the care of frail older adults.

Analysis of the health profiles and prevalence of falls for patients over 65 years of age in a thermal environment

BACKGROUND

A falls prevention programme has been initiated in balneotherapy at Balaruc-les-Bains.

AIMS

To determine the health profiles of subjects who are at risk of falls, over 65 years of age and attending balneotherapy.

METHODS

Questionnaires were used to evaluate people on their fear of falling. Fatigue was assessed by visual analog scale as well as by functional status over the past 12 months. EQ-5D-3L, the IPAQ questionnaire and Fried's frailty scale were all used. Patients' functional capabilities were tested using the Unipedal stance test, the TUG test, the SPPB, the Tandem walking test and the isometric manual grip strength test.

RESULTS

Out of the 1471 patients (72.45 years ± 5.10), the women (67%) were tested. In the last 12 months, 485 of these 1471 patients fell (33%) and 37% of them suffered a severe injury. 45-50% of these subjects are now in good health. Women had a significantly higher impaired perception of their health than men (0.02 < p < 0.0001). According to Fried's criteria, 10.2% of the population is considered frail, with a significantly greater number of women (p < 0.0001). Static equilibrium was subnormal (less than 12 s during the TUG). The number of steps in tandem position discriminates individuals and gender as does the speed of moving from A to B and muscular strength.

CONCLUSIONS

More than one-third of the subjects (more women than men) aged 65 or older visiting the Balaruc-les-Bains health resort are pre-frail or frail. They all have a recent history of falls, suffer from impaired muscle strength, and have balance and gait disorders.

Loneliness as a risk factor for frailty transition among older Chinese people

Background

Previous literature has reported that loneliness is a strong predictor of frailty risk. However, less is known about the role of loneliness in frailty transition types. This study aimed to examine whether and how loneliness are related to frailty transition among older Chinese people.

Methods

Our study used participants (aged ≥60 years) from 2008/2009, 2011/2012 and 2014 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Loneliness was assessed by a single question asking how often the respondent feels lonely. The FRAIL Scale was created to measure physical frailty for our study, and frailty was also assessed by a broader definition of the frailty index. Frailty transition as an outcome variable has been designed as two types according to the measurement of frailty.

Results

Greater loneliness at baseline reduced the possibility of remaining in a robust or prefrail physical frailty state after 3 years (OR = 0.78, 95%CI: 0.68–0.91, p < 0.01). Greater loneliness was associated with an increased risk of worsening physical frailty over time: compared with those who had never felt lonely, the odds ratios for people who often felt lonely were 1.19 (95%CI: 1.01–1.41, p < 0.05) after 3 years and 1.34 (95%CI: 1.08–1.66, p < 0.01) after 6 years. The association between loneliness and change in the frailty index differed in the survey periods: loneliness at baseline was found to increase the possibility of participants remaining in frailty (seldom loneliness: OR = 1.78, 95%CI: 1.25–2.55, p < 0.01; often loneliness: OR = 1.74, 95%CI: 1.21–2.50, p < 0.01) after 6 years, but no significance was shown in the 3-year follow up. Additionally, loneliness at baselines was significantly associated with frailty transition at follow up among the male participants. However, a similar association was not observed among the female participants.

Conclusion

Older people with a high level of loneliness tend to be frail in the future, and greater loneliness is related to an increased risk of worsening frailty and remaining frail. Male elderly with a high level of loneliness were more likely to have a worse frailty transition than female elderly in China.

Factors associated with low-acuity hospital admissions in a public safety-net setting: a cross-sectional study

Background

Given system-level focus on avoidance of unnecessary hospitalizations, better understanding admission decision-making is of utility. Our study sought to identify factors associated with hospital admission versus discharge from the Emergency Department (ED) for a population of patients who were assessed as having low medical acuity at time of decision.

Methods

Using an institutional database, we identified ED admission requests received from March 1, 2018 to Feb 28, 2019 that were assessed by a physician at the time of request as potentially inappropriate based on lack of medical acuity. Focused chart review was performed to extract data related to patient demographics, socioeconomic information, measures of illness, and system-level factors such as previous healthcare utilization and day/time of presentation. A binary logistic regression model was constructed to correlate patient and system factors with disposition outcome of admission to the hospital versus discharge from the ED. Physician-reported contributors to admission decision-making and chief complaint/reason for admission were summarized.

Results

A total of 349 (77.2%) of 452 calls resulted in admission to the hospital and 103 (22.8%) resulted in discharge from the ED. Predictors of admission included age over 65 (OR 3.5 [95%CI 1.1–11.6], p = 0.039), homelessness (OR 3.3 [95% CI 1.7–6.4], p=0.001), and night/weekend presentation (OR 2.0 [95%CI 1.1–3.5], p = 0.020). The most common contributing factors to the decision to admit reported by the responding physician included: lack of outpatient social support (35.8% of admissions), homelessness (33.0% of admissions), and substance use disorder (23.5% of admissions).

Conclusions

Physician medical decision-making regarding the need for hospitalization incorporates consideration of individual patient characteristics, social setting, and system-level barriers. Interventions aimed at reducing unnecessary hospitalizations, especially those involving patients with low medical acuity, should focus on underlying unmet needs and involve a broad set of perspectives.

Frailty and depression: Reciprocal influences or common causes?

BACKGROUND

Previous research demonstrated substantial associations between frailty and depression in late life, but it remains unclear whether this relationship is best explained by reciprocal influences of these variables or by common causes. This study investigated the interdependencies between frailty and depression across time by examining cross-lagged effects within individuals, while accounting for variability in baseline levels and long-term development between individuals.

METHODS

We modeled longitudinal data from six panel waves gathered in the Survey of Health, Ageing and Retirement in Europe, covering a time period of up to 14 years. The total sample size was N = 58,152 individuals aged 50 years or older. Frailty was based on a deficit accumulation frailty index and depressive symptoms were measured with the EURO-D scale. We used a latent curve model with structured residuals for statistical analysis.

RESULTS

The results did not demonstrate relevant cross-lagged effects of frailty and depression at the within-person level. However, within-person increases in frailty were accompanied by within-person increases in depression at the same point in time. At the between-person level, it showed that individuals with higher levels and steeper trajectories in frailty also tend to show higher levels and steeper trajectories in depression.

CONCLUSION

These findings question the notion that frailty and depression reciprocally influence each other over the course of time, but rather indicate that frailty and depression might be both affected by common causes, in both the short and the long term.

Association between lifestyle behaviors and frailty in Atlantic Canadian males and females

PURPOSE

The aim of this study was to identify lifestyle factors in males and females that are associated with a greater degree of frailty in a Canadian cohort.

METHODS

Cross-sectional data analysis from participants aged 30-74 yrs of the Atlantic PATH cohort. Inclusion criteria included completion of mental health questionnaires and ≥1 vital measure (n = 9133, 70% female, mean age 55 yrs). A frailty index was created based on 38 items with higher values indicating increasing frailty. The association between lifestyle factors and frailty was assessed by logistic regression.

RESULTS

805 participants had a high level of frailty (frailty index ≥0.30). There was a significant interaction among sex, age, and lifestyle factors such as smoking status (P < 0.001), alcohol consumption (P < 0.001), physical activity level (P = 0.005), time spent sitting (P < 0.001) and sleeping (P < 0.001) on frailty. Smoking was harmful whereas sleep was protective for both males and females (<60 yrs). Females (<60yrs) that sat for ≥4 h/day were more likely to be highly frail whereas females (all ages) that consumed alcohol at least occasionally were less likely to be highly frail. Males, but not females, that engaged in a high level of physical activity were less likely to have a high level of frailty.

CONCLUSIONS

Higher frailty is more prevalent among participants with unhealthy lifestyle behaviors related to smoking, alcohol consumption, sedentary and physical activity level, diet, and sleep. Differences in lifestyle behaviors of males and females of specific ages should be considered for managing frailty levels.

Lifestyle Activity Patterns Related to Physical Frailty and Cognitive Impairment in Urban Community-Dwelling Older Adults in Japan

OBJECTIVES

Investigating the lifestyle activity patterns of urban community-dwelling Japanese older adults, focusing on physical frailty and cognitive impairment.

DESIGN

Cross-sectional study.

SETTING AND PARTICIPANTS

Participants comprised 8003 older adults (4489 women; mean age: 72.5 years, SD = ±6.1, range 60-95 years) from the National Center for Geriatrics and Gerontology Study of Geriatric Syndromes.

METHODS

Participants reported on their lifestyle activity status, including using public transport, grocery shopping, light exercise, gardening, money management, meeting friends, participating in events, and travel. Several potential confounding variables, such as demographic characteristics, were considered. We assessed their lifestyle activity patterns using a latent class analysis and defined physical frailty by either slow walking speed or poor grip strength. Cognitive impairment was defined by participants exhibiting more than 1 of the following symptoms: poor word list memory, poor attention, reduced executive function, and low processing speed test scores. We also examined the relationship between their lifestyle activity patterns and physical frailty and cognitive impairment.

RESULTS

The overall prevalence of robustness, physical frailty, cognitive impairment, and frailty and cognitive impairment was 54.6%, 21.4%, 13.3%, and 10.7%, respectively. We defined 4 classes using latent class analysis: greater engagement in multidomain activities, lower engagement in going-out activities, lower engagement in cognitive and physical activities, and lower engagement in multidomain activities. Moreover, physical frailty and cognitive impairment were independently associated with lower engagement in going-out activity, lower engagement in cognitive and physical activities, and lower engagement in multidomain activities, after adjusting for covariates.

CONCLUSIONS AND IMPLICATIONS

Considering an older adult's lifestyle activity patterns in their day-to-day practice, clinicians can deliver more older adult-centered care, which in turn might lead to better outcomes in the primary prevention of disease.

Number of Pregnancies and Trajectory of Frailty Index: English Longitudinal Study of Ageing

OBJECTIVES

Women are frailer than men across different populations and age groups. However, the mechanisms are still not fully understood. One possible cause is pregnancy and motherhood. The objective of this study was to examine trajectories of Frailty Index over time according to the number of pregnancies.

DESIGN

A prospective study with repeated measures over 14 years.

SETTING AND PARTICIPANTS

A total of 2060 community-dwelling older women aged ≥60 years in England.

METHODS

The number of pregnancies was calculated as a sum of the number of live births and the number of miscarriages, still-births, or abortions. The Frailty Index (FI) was constructed using 60 deficits and repeatedly calculated every 2 years over 14 years. Trajectories of FI according to the number of pregnancies were estimated by a mixed effects model.

RESULTS

Mean FI was 0.15 at baseline. A mixed effects model adjusted for age, smoking, alcohol use, education, and wealth showed that FI increased over time. A higher number of pregnancies were significantly associated with a higher FI (estimate = 0.0047, 95% confidence interval = 0.0020, 0.0074).

CONCLUSIONS AND IMPLICATIONS

The current study showed that a higher number of pregnancies were significantly associated with a higher degree of frailty at baseline and over time. Pregnancy and child rearing may explain some of the observed excess risk of frailty in women. Pregnancy-related factors, such as pregnancy loss, types of delivery, length of pregnancy, childbearing, and child rearing, should be examined in relation to frailty in future studies.

Physical frailty and the risk of major depressive disorder: The Irish Longitudinal Study on Ageing

Although frailty is a well-established risk factor for adverse health outcomes in later life, little is known about the role of physical frailty on the development of incident major depressive disorder (MDD). The purpose of this study was to determine whether frailty is an important and independent predictor of incident major depressive disorder (MDD) in elderly people without probable depression at baseline. Of the 3671 older individuals from the population-based Irish Longitudinal Study on Ageing, we classified participants as non-frail (0), pre-frail (1-2), and frail (3-5) at baseline according to the five criteria of the physical frailty phenotype. The World Health Organization Composite International Diagnostic Interview Short-Form was used to assess whether respondents fulfilled the Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) criteria for MDD over a 4-year follow-up. After adjusting for demographic factors, living arrangements, health behaviors, common chronic diseases including hypertension, diabetes, cancer, lung disease, heart problems, and stroke, those classified as pre-frail (HR = 1.40, 95%CI = 1.14-1.73) and frail (HR = 2.20, 95%CI = 1.23-3.92) presented a higher risk to develop incident MDD over the 4-year follow-up compared to non-frail participants. Shrinking and exhaustion, as physical frailty components, were individually predictive of onset of MDD. The present study supports a significant role of physical frailty as a predictor of incident MDD in older adults. It is necessary to identify groups with a high vulnerability for MDD according to easily identifiable frailty criteria, and to delay or prevent at least in part, some of the negative health outcomes related to this disorder.

Frailty transitions predict healthcare use and Medicare payments in older Mexican Americans: a longitudinal cohort study

BACKGROUND

Little is known regarding the impact of transitions in frailty on healthcare use and payment in older Mexican Americans. We address this gap in knowledge by investigating the effect of early transitions in physical frailty on the use of healthcare services and Medicare payments involving older Mexican Americans.

METHODS

Longitudinal analyses were conducted using the Hispanic Established Populations for the Epidemiological Study of the Elderly (Hispanic-EPESE) survey data from five Southwest states linked to the Medicare claims files from the Centers for Medicare and Medicaid Services. Seven hundred and eighty-eight community-dwelling Mexican Americans 72 years and older in 2000/01 were studied. We used a modified Frailty Phenotype (unintentional weight loss, weakness, self-reported exhaustion and slow walking speed) to classify frailty status (non-frail, pre-frail or frail). Each participant was placed into one of 5 frailty transition groups: 1) remain non-frail, 2) remain pre-frail, 3) remain frail, 4) improve (pre-frail to non-frail, frail to non-frail, frail to pre-frail) and 5) worse (non-frail to pre-frail, non-frail to frail, pre-frail to frail). The outcomes for the one-year follow-up period (2000-2001) were: (a) healthcare use (hospitalization, emergency room [ER] admission and physician visit); and (b) Medicare payments (total payment and outpatient payment).

RESULTS

Mean age was 78.8 (SD = 5.1) years and 60.3% were female in 1998/99. Males who remained pre-frail (Odds Ratio [OR] = 3.49, 1.13-10.8, remained frail OR = 6.92, 1.61-29.7) and transitioned to worse frail status (OR = 4.49, 1.74-11.6) had significantly higher hospitalization risk compared to individuals who remained non-frail. Males in the 'worsened' groups, and females in the 'improved' groups, had significantly higher Medicare payments than individuals who remained non-frail (Cost Ratio [CR] = 2.00, 1.30-3.09; CR = 1.53, 1.12-2.09, respectively].

CONCLUSIONS

Healthcare use and Medicare payments differed by frailty transition status. The differences varied by sex. Research is necessary to elucidate the relationship between frailty transitions and outcomes, sex difference and Medicare payment for older Mexican Americans living in the community.

The Burden of Frailty on Mood, Cognition, Quality of Life, and Level of Independence in Patients on Hemodialysis: Regina Hemodialysis Frailty Study

Background:

The prevalence of frailty is disproportionately increased in patients with chronic kidney disease (CKD) in comparison with non-CKD counterparts and is the highest in patients on hemodialysis (HD). While the cross-sectional measurement of frailty on HD has been associated with adverse clinical events, there is a paucity of data on longitudinal assessment of frailty and its relationship to outcomes.

Objective:

The objectives were to (1) evaluate changes in frailty status, level of independence, mood, cognition, and quality of life (QoL) over a 12-month period and (2) explore the relationship between frailty status and level of independence, mood, cognition, and QoL at 2 different time points (at baseline and at 1 year).

Design:

This is a prospective cohort study involving 100 prevalent HD patients.

Setting:

Regina General Hospital and Wascana Dialysis Unit in Regina, Saskatchewan, Canada, between January 2015 and January 2017.

Patients:

One hundred prevalent HD patients underwent frailty assessments using the Fried criteria at baseline and 1 year later.

Measurements:

Frailty was assessed using the Fried criteria, which included assessments of unintentional weight loss, weakness (handgrip strength), slowness (walking speed), and questionnaires for physical activity and self-perceived exhaustion. Cognition, mood, and QoL were measured using questionnaires (Montreal Cognitive Assessment [MoCA], Geriatric Depression Scale [GDS], and EuroQol [EQ-5D] utility scores and visual analog scale [VAS], respectively).

Methods:

Frailty status was reported as a binary variable: frail vs. nonfrail (prefrail and robust). Differences across baseline and 1-year groups were assessed using McNemar’s test or Wilcoxon signed-rank test, as appropriate. We assessed the differences between frail and nonfrail groups using the Mann–Whitney U test or chi-square test/Fisher’s exact test where appropriate.

Results:

Ninety-seven of the 100 patients had complete initial assessments. The median (interquartile range [IQR]) duration of dialysis at baseline was 35.5 (13.75-71.75 months). One year later, 22 had died, 10 refused assessments, and 3 had relocated. In comparison with baseline vs 1 year, the number of frail patients was 68.1% vs. 67.7%; prefrail 26.8% vs. 26.1%; robust 5.1% vs. 6.2%; MoCA ≥24, 69% vs. 64.5%; GDS score ≥ 2, 52.8% vs. 47.7%; median EQ-5D utility score 0.81 vs. 0.77; and median EQ-VAS 60 vs. 50. Similarly, in comparison with baseline vs. 1 year, the number of independent patients was 82% vs. 63%, independent with support 17% vs. 31%, and long-term care home 0% vs. 3.1%. Eighteen of the 22 patients (82%) who died were frail. At 1 year, the median (IQR) MoCA was 24 (19-25) vs. 25 (21-26; P = .039) and median (IQR) GDS was 2 (1-3) vs. 1(0-2; P = .034). Likewise, median (IQR) EQ-5D utility score was 0.78 (0.6-0.82) vs. 0.81 (0.78-0.85; P = .023). There were significant changes in self-care (27% vs. 0%), P = 0.006, and daily activities (68.2% vs. 38.1%), P = 0.021.

Limitations:

This is a single-center study, so direct inferences must be interpreted in the context of the demographics of the study population. Patients were undergoing dialysis for a median of 36 months before undergoing initial assessment.

Conclusions:

Frailty and prefrailty in our dialysis patients is near-ubiquitous and will need to be proactively addressed to improve subsequent health care outcomes.

Health and care service utilisation and cost over the life-span: a descriptive analysis of population data

BACKGROUND

Current demographic changes affect both the level and composition of health and care needs in the population. The aim of this study was to estimate utilisation and cost for a comprehensive range of health and care services by age and gender to provide an in-depth picture of the life-span pattern of service needs and related costs.

METHODS

Data on service use in 2010 for the entire population in Norway were collected from four high-quality national registers. Cost for different services were calculated combining data on service utilisation from the registries and estimates of unit cost. Data on cost and users were aggregated within four healthcare services and seven long-term care services subtypes. Per capita cost by age and gender was decomposed into user rates and cost per user for each of the eleven services.

RESULTS

Half of the population is under 40 years of age, but only a quarter of the health and care cost is used on this age group. The age-group of 65 or older, on the other hand, represent only 15% of the population, but is responsible for almost half of the total cost. Healthcare cost dominates in ages under 80 and mental health services dominates in adolescents and young adults. Use of other healthcare services are high in middle aged and elderly but decreases for the oldest old. Use of care services and in particular institutional care increases in old age. Healthcare cost per user follows roughly the same age pattern as user rates, whereas user cost for care services typically are either relatively stable or decrease with age among adults. Gender differences in the age pattern of health and care costs are also revealed and discussed.

CONCLUSION

The type of services used, and the related cost, show a clear life-span as well as gender pattern. Hence, population aging and narrowing gender-gap in longivety calls for high policy awarness on changing health and care needs. Our study also underscores the need for an attentive and pro-active stance towards the high service prevalence and high cost of mental health care in our upcoming generations.

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.

Safety and quality of perioperative anesthesia care-Ensuring safe care for older people living with frailty

The clinical concept of frailty as a detectable and improvable clinical condition has emerged in the field of geriatric medicine over the past two decades. Albeit frailty can be described as the rapid deterioration of organ function during the physiological aging process, this syndrome is not exclusively limited to the elderly. Recently, this concept has been introduced in the field of anesthesia and critical care as a means to better appraise perioperative risks and offer patient-centered individual treatment pathways. Extensive efforts have been invested into the research on tools for the detection and quantification of frailty. However, while multiple tools have been validated for the detection of frailty in different populations, no universal score or test has been validated to be universally applicable. Furthermore, it is unclear whether interventions capable of improving the detected degree of frailty may result in better outcomes. Ongoing and future research is aimed at developing automated systems that help in harnessing standard medical records for reliable frailty screening without additional user input. Further efforts are pointed at understanding the potential reversibility of frailty through interventions such as exercise or nutritional supplements. While the role of frailty detection, quantification, and treatment in anesthesia and critical care is limited today, it is likely that it may become a key element of perioperative care of older patients in the near future.

Validation of the Risk Analysis Index for Evaluating Frailty in Ambulatory Patients

BACKGROUND

Frailty is a marker of dependency, disability, hospitalization, and mortality in community-dwelling older adults. However, existing tools for measuring frailty are too cumbersome for rapid point-of-care assessment. The Risk Analysis Index (RAI) of frailty is validated in surgical populations, but its performance outside surgical populations is unknown.

OBJECTIVE

Validate the RAI in ambulatory patients.

DESIGN, SETTING, AND PARTICIPANTS

Observational cohort study of outpatient surgical clinics within the University of Pittsburgh Medical Center Healthcare System between July 1, 2016, and December 31, 2016. Frailty was assessed using the RAI. Current Procedural Terminology codes following RAI assessment identified patients with and without minor office-based procedures (eg, joint injection, laryngoscopy).

MAIN OUTCOMES AND MEASURES

All-cause 1-year mortality, assessed by stratified Cox proportional hazard models.

RESULTS

Of 28,059 patients, 13,861 were matched to a minor, office-based procedure and 14,198 did not undergo any procedure. The mean (SD) age was 56.7 (17.2) years; women constituted 15,797 (56.3%) of the cohort. Median time (interquartile range 25th-75th percentile) to measure RAI was 30 (22-47) seconds. Mortality among the frail was two to five times that of patients with normal RAI scores. For example, the hazard ratio for frail ambulatory patients without a minor procedure was 3.69 (95% confidence interval [CI] = 2.51-5.41), corresponding to 30-, 180-, and 365-day mortality rates of 2.9%, 11.2%, and 17.4%, respectively, compared to 0.3%, 2.3%, and 4.0% among patients with normal RAI scores. Discrimination of mortality (overall, and censored at 30, 180, and 365 days) was excellent, ranging from c = 0.838 (95% CI = 0.773-0.902) for 30-day mortality after minor procedures to c = 0.909 (95% CI = 0.855-0.964) without a procedure.

CONCLUSION

RAI is a valid, easily administered tool for point-of-care frailty assessment in ambulatory populations that may help clinicians and patients make better informed decisions about care choices-especially among patients considered high risk with a potentially limited life span. J Am Geriatr Soc 68:1818-1824, 2020.

Frailty Confers High Mortality Risk across Different Populations: Evidence from an Overview of Systematic Reviews and Meta-Analyses

We performed an overview of systematic reviews and meta-analyses to summarize available data regarding the association between frailty and all-cause mortality. Medline, Embase, CINAHL, Web of Science, PsycINFO, and AMED (Allied and Complementary Medicine) databases were searched until February 2020 for meta-analyses examining the association between frailty and all-cause mortality. The AMSTAR2 checklist was used to evaluate methodological quality. Frailty exposure and the risk of all-cause mortality (hazard ratio [HR] or relative risk [RR]) were displayed in forest plots. We included 25 meta-analyses that pooled data from between 3 and 20 studies. The number of participants included in these meta-analyses ranged between <2000 and >500,000. Overall, 56%, 32%, and 12% of studies were rated as of moderate, low, and critically low quality, respectively. Frailty was associated with increased risk of all-cause mortality in 24/24 studies where the HR/RRs ranged from 1.35 [95% confidence interval (CI) 1.05-1.74] (patients with diabetes) to 7.95 [95% CI 4.88-12.96] (hospitalized patients). The median HR/RR across different meta-analyses was 1.98 (interquartile range 1.65-2.67). Pre-frailty was associated with a significantly increased risk of all-cause mortality in 7/7 studies with the HR/RR ranging from 1.09 to 3.65 (median 1.51, IQR 1.38-1.73). These data suggest that interventions to prevent frailty and pre-frailty are needed.

Protein-Related Dietary Parameters and Frailty Status in Older Community-Dwellers across Different Frailty Instruments

The present study investigated the associations between frailty status and (a) daily protein intake, (b) daily body weight-adjusted protein intake, (c) branched-chain amino acid (BCAA) consumption, (d) evenness of protein distribution across main meals, (e) number of daily meals providing at least 30 g of protein, and (f) number of daily meals providing at least 0.4 g protein/kg of body weight in community-dwelling older adults. The relationship between frailty status and protein-related dietary parameters was explored across different frailty assessment tools. Two hundred older adults were enrolled in the study. Participant frailty status was determined according to a modified Fried’s frailty phenotype (mFP), the FRAIL scale, and the Study of Osteoporotic Fracture (SOF) index. Diet was assessed by 24-h dietary recall, while diet composition was estimated using a nutritional software. A frailty instrument-dependent relationship was observed between frailty status and protein-related dietary parameters. Protein consumption was associated with frailty status only in participants identified as frail according to the mFP. In addition, protein and BCAA intake was found to be greater in robust and pre-frail participants relative to their frail counterparts. Our findings suggest that the association between frailty and protein-related dietary parameters is tool dependent. Specifically, protein and BCAA consumption appears to be lower only in older adults identified as frail by the mFP.

Myokines as biomarkers of frailty and cardiovascular disease risk in females

Frailty is a risk factor for cardiovascular disease (CVD). Biomarkers have the potential to detect the early stages of frailty, such as pre-frailty. Myokines may act as biomarkers of frailty-related disease progression, as a decline in muscle health is a hallmark of the frailty phenotype. This study is a secondary analysis of 104 females 55 years of age or older with no previous history of CVD. Differences in systemic myokine concentrations based on frailty status and CVD risk profile were examined using a case-control design. Propensity matching identified two sets of 26 pairs with pre-frailty as the exposure variable in low or elevated CVD risk groups for a total 104 female participants. Frailty was assessed using the Fried Criteria (FC) and CVD risk was assessed using the Framingham Risk Score (FRS). Factorial ANOVA compared the main effects of frailty, CVD risk, and their interaction on the concentrations of 15 myokines. Differences were found when comparing elevated CVD risk status with low for the concentrations of EPO (384.76 ± 1046.07 vs. 206.63 ± 284.61 pg/mL, p = .001), FABP3 (2772.61 ± 3297.86 vs. 1693.31 ± 1019.34 pg/mL, p = .017), FGF21 (193.17 ± 521.09 vs. 70.18 ± 139.51 pg/mL, p = .010), IL-6 (1.73 ± 4.97 vs. 0.52 ± 0.89 pg/mL, p = .023), and IL-15 (2.62 ± 10.56 vs. 0.92 ± 1.25 pg/mL, p = .022). Pre-frail females had lower concentrations of fractalkine compared to robust (27.04 ± 20.60 vs. 103.62 ± 315.45 pg/mL, p = .004). Interaction effects between frailty status and CVD risk for FGF21 and OSM were identified. In elevated CVD risk, pre-frail females, concentrations of FGF21 and OSM were lower than that of elevated CVD risk, robust females (69.10 ± 62.86 vs. 317.24 ± 719.69, p = .011; 1.73 ± 2.32 vs. 24.43 ± 69.21, p = .018, respectively). These data identified specific biomarkers of CVD risk and biomarkers of frailty that are exacerbated with CVD risk.

Depression but not frailty contributed to a higher risk for all-cause hospitalizations in male older veterans

INTRODUCTION

Frailty is a state of vulnerability to stressors resulting in higher morbidity, mortality, and utilization in older adults. Depression and frailty often coexist, suggesting a bidirectional relationship that may increase the effects of each individual condition on clinical outcomes and health-care utilization in older adults.

OBJECTIVE

To determine the effects of concurrent frailty and depression on all-cause hospitalizations.

METHODS/DESIGN

Prospective cohort study, conducted at a Veterans Affairs (VA) Medical Center. The participants were male, community-dwelling veterans 65 years and older. From 4 January through 30 December 2016, a 46-item frailty index was generated from data obtained from the VA electronic health record. Trained staff conducted in-depth reviews of electronic health records ascertaining depression status. Patients were followed through 31 December 2017 for all-cause hospitalizations following the initial assessment of frailty. After adjusting for covariates, the association of frailty and depression with all-cause hospitalizations was determined with the Andersen-Gill model, accounting for repeated hospitalizations.

RESULTS

Five hundred fifty-three male patients were part of the study, mean age 76.3 (SD = 8.2) years. One hundred eighty-one patients (32.7%) had depression diagnoses. During a median follow-up period of 530 days (interquartile range [IQR] = 245), 123 patients (22.2%) had 240 hospitalizations. Frailty status was not associated with future hospitalizations (adjusted hazard ratio [HR] = 1.61; 95% CI, 95-2.74; P > .05). Depression was associated with higher all-cause hospitalizations (adjusted HR = 1.57; 95% CI, 1.09-2.26); P = .0157).

CONCLUSIONS

Depression but not frailty was significantly associated with higher rates of all-cause hospitalization. Implementing interventions that target older adults with both frailty and depression may reduce the burden of both conditions and reduce hospitalizations.

Frailty and Cause-Specific Hospitalizations in Community-Dwelling Older Men

OBJECTIVES

The types of medical conditions leading to hospitalization in frail older people have not been investigated. The objectives were to evaluate associations between frailty and (a) risk of all-cause and cause-specific hospitalization, and (b) rate of all-cause and cause-specific hospitalizations.

DESIGN, SETTING AND PARTICIPANTS

Community-dwelling men aged 70+ years in the Concord Health and Ageing in Men Project (CHAMP) were assessed for frailty at baseline (2005-2007, n=1705).

MEASUREMENTS

Frailty was determined by both the Fried frailty phenotype (FP) and the Rockwood frailty index (FI). Non-elective and elective hospitalization data were accessed from the New South Wales (NSW) Admitted Patient Data Collection and mortality from the NSW Deaths Registry for the period 2005-2017. Causes of hospitalization were categorized using ICD-10 classification of principal diagnoses based on organ system involved into 14 major categories.

RESULTS

Nearly 80% of CHAMP men had at least one non-elective hospitalization and 63% had an elective hospitalization over a 9-year follow-up. Men with FP frailty were twice as likely to have a non-elective hospitalization (HR: 1.98, 95%CI: 1.61-2.44) and a greater number of non-elective hospitalizations (IRR: 1.44, 95%CI: 1.22-1.70). Similar relationships were found between FI frailty and non-elective hospitalizations. Men with frailty (either FP or FI) were more likely to have at least one non-elective hospitalization for 13 of the 14 cause-related admissions. In contrast, frailty was only associated with 3 cause-related elective hospitalizations. Men with frailty were also more likely to have an increased number of non-elective hospitalizations for all 14 causes, but only for 6 causes of elective hospitalizations.

CONCLUSIONS

Our findings suggest frailty increases the risk and number of non-elective hospitalizations in older men for a wide range of cause. Strategies on early identification of frailty, followed by appropriate preventative strategies to lower the risk of non-elective hospital admissions are warranted.

Multidimensional instruments with an integral approach to identify frailty in community-dwelling people: protocol for a systematic psychometric review

INTRODUCTION

An increasing number of investigations highlight the complex nature of frailty; therefore, the use of multidimensional assessment instruments could be useful in clinical decision-making. Frail people are found mainly in the community setting which is why this is the ideal environment for early screening and intervention. For this purpose, it is necessary to have valid, time-effective and easy-to-use frailty assessment instruments. The aim of this review is to critically appraise, compare and summarise the quality of the measurement properties of all multidimensional instruments with an integral approach to identify frailty in community-dwelling people.

METHODS AND ANALYSIS

Medline, Psychological Information Database (PsycINFO) and Cumulative Index to Nursing and Allied Health Literature (CINAHL) will be searched from their inception dates. We will also conduct searches in databases of grey literature. No limits will be applied for language. A highly sensitive validated search filter will be used for finding studies on measurement properties. An additional search including the names of the instruments found in the initial search will also be undertaken. Studies aiming at the development of a measurement instrument, the evaluation of one or more measurement properties or the evaluation of its interpretability will be included. The instrument should have an integral approach (physical, psychological and social) and it should measure all three domains. The context of use should be a community setting. Two reviewers independently will screen the references and assess the risk of bias by consensus-based standards for the selection of health measurement instruments checklist. To assess the overall evidence for the measurement properties of the identified instruments, the results of the different studies, adjusted for their methodological quality, will be combined.

ETHICS AND DISSEMINATION

Ethical approval and patient consent are not required as this is a psychometric review based on published studies. The results of this review will be disseminated at conferences and published in an international peer-reviewed journal.

PROSPERO REGISTRATION NUMBER

CRD42019120212.

Association of Dog and Cat Ownership with Incident Frailty among Community-Dwelling Elderly Japanese

Accumulating evidence from studies of human–animal interaction highlights the physiological, psychological, and social benefits for older owners of dogs and cats. This longitudinal study examined whether experience of dog/cat ownership protects against incident frailty in a population of community-dwelling older Japanese. Among 7881 non-frail community-dwelling adults aged 65 years or older who completed a mail survey in 2016, 6,197 (mean [SD] age, 73.6 [5.3] years; 53.6% women) were reevaluated in a 2018 follow-up survey. Frailty was assessed with the Kaigo-Yobo Checklist. Incident frailty was defined as a score of four or higher in the follow-up survey. Overall, 870 (14.0%) were current dog/cat owners, 1878 (30.3%) were past owners and 3449 (55.7%) were never owners. During the 2-year follow-up period, 918 (14.8%) developed incident frailty. Mixed-effects logistic regression models showed that the odds ratio for incident frailty among dog/cat owners, as compared with never owners, current owners were 0.87 (95% confidence interval [CI]: 0.69–1.09) and past owner were 0.84 (0.71–0.98), after controlling for important confounders at baseline. In stratified analysis, the risk of incident frailty was lower for past dog owners than for cat owners. Longer experience of caring for a dog requires physical activity and increases time outdoors spent dog walking and thus may have an important role in maintaining physical and social function and reducing frailty risk among older adults.

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.

Frailty Defined by FRAIL Scale as a Predictor of Mortality: A Systematic Review and Meta-analysis

OBJECTIVES

To conduct a systematic review of the literature on prospective cohort studies examining mortality risk according to frailty defined by FRAIL scale, and to perform a meta-analysis to synthesize the pooled risk estimates.

DESIGN

Systematic review and meta-analysis.

SETTING

Embase, Scopus, MEDLINE, CINAHL, and PsycINFO were systematically searched in March 2018. References of included studies were reviewed and a forward citation tracking was performed on relevant review papers for additional studies. Additional data necessary for a meta-analysis were requested from corresponding authors.

PARTICIPANTS

Community-dwelling middle-aged and older adults.

MEASUREMENTS

Mortality risk due to frailty as defined by the FRAIL scale.

RESULTS

After removing duplicates, there are 81 citations for title, abstract, and full-text screening. Eight studies were included in this review. Four studies calculated the area under the receiver operating characteristic curve, which ranged from 0.54 to 0.70. A random-effects meta-analysis was conducted on 3 studies that provided adjusted hazard ratios (HRs) of mortality risk according to 3 frailty groups (robust, prefrail, and frail) defined by FRAIL scale. Both frailty and prefrailty were significantly associated with higher mortality risk than robustness [pooled HR = 3.53, 95% confidence interval (CI) = 1.66-7.49, P = .001; pooled HR = 1.75, 95% CI = 1.14-2.70, P = .01, respectively]. No evidence of publication bias was observed.

CONCLUSION

This study demonstrated that FRAIL scale is a tool that can effectively identify frailty/prefrailty status, as well as quantify frailty status in a graded manner in relation to mortality risk. Although its feasibility is of note, not many studies are yet using this relatively new tool. More studies are warranted regarding mortality and other health outcomes.

Using frailty and quality of life measures in clinical care of the elderly in Canada to predict death, nursing home transfer and hospitalisation - the frailty and ageing cohort study

OBJECTIVE

To assess the value of using frailty measures in primary care for predicting death, nursing home transfer (NHT) and hospital admission.

DESIGN

Cohort study.

SETTING AND PARTICIPANTS

All 380 people, mean age 88.4, living in the community and receiving home-based primary geriatric care from one practice in Victoria, Canada.

INTERVENTIONS/MEASUREMENTS

A 60 min baseline assessment which included: Clinical Frailty Scale (CFS), EuroQol EQ-5D-5L (EQ-5D), EuroQol Visual Analogue Scale (EQ-VAS) and Gait Speed (Gaitspeed).

OUTCOMES

Death, NHT and hospital admission.

RESULTS

During 18 months of follow-up, there were 39 (10.3%) deaths, 48 (12.6%) NHTs and 93 (24.5%) individuals admitted to hospital. All three outcomes were predicted by: CFS Level 6+7/4+5 (HR death 5.92, 95% CI 3.12 to 11.22, NHT 6.00, 95% CI 3.37 to 10.66 and hospital admission 2.92, 95% CI 1.93 to 4.40); EQ-5D Quintile 1/Quintile 5 (death 6.26, 95% CI 2.11 to 18.62; NHT 3.18, 95% CI 1.29 to 7.82 and hospital admission 2.94, 95% CI 1.47 to 5.87); EQ-VAS Q1/Q5 (death 7.0, 95% CI 2.34 to 20.93; NHT 3.38, 95% CI 1.22 to 9.35 and hospital admission 6.69, 95% CI 3.20 to 13.99) and Gaitspeed (death 5.87, 95% CI 1.78 to 19.34; NHT 8.51, 95% CI 3.18 to 22.79 and hospital admission 11.05, 95% CI 5.45 to 22.40). Medical diagnoses, multiple comorbidities and polypharmacy were weaker predictors of these outcomes. Cox regression analyses showed CFS (adjusted HR 2.88, 95% CI 1.23 to 6.68), EQ-VAS (0.96, 95% CI 0.93 to 0.98), estimated glomerular filtration rate (0.97, 95% CI 0.95 to 1.00) and haemoglobin (0.97, 95% CI 0.94 to 0.99) were independently associated with death. Gaitspeed (0.13, 95% CI 0.03 to 0.57), Geriatric Depression Scale (1.39, 95% CI 1.07 to 1.82) and dementia diagnosis (4.61, 95% CI 1.86 to 11.44) were associated with NHT. Only CFS (1.75, 95% CI 1.21 to 2.51) and EQ-VAS (0.98, 95% CI 0.96 to 0.99) were associated with hospital admission. No other diagnoses, polypharmacy nor multiple comorbidities predicted these outcomes.

CONCLUSIONS

For elderly people, standardised simple measures of frailty and health status were stronger predictors of death, NHT and hospital admission than medical diagnoses. Consideration should be given to adding these measures into usual medical care for this age group.

Association between the number of teeth and frailty among Chinese older adults: a nationwide cross-sectional study

OBJECTIVES

To explore the association between the number of teeth and frailty among older Chinese adults using a nationally representative sample.

DESIGN

Cross-sectional analysis was carried out using the 2014 wave data from the Chinese Longitudinal Healthy Longevity Survey, which used a targeted random-sampling design.

SETTING

This research was conducted in communities from nearly half of the counties and cities in 22 out of 31 provinces throughout China.

PARTICIPANTS

Of the 6934 interviewees aged ≥65 years, the final analysis included 3635 older adults who had completed the 2014 wave survey on the variables included in the study.

PRIMARY AND SECONDARY OUTCOME MEASURES

Outcome variables included frailty, measured by the Frailty Index, and number of teeth. Covariates included demographic characteristics (ie, age, sex, co-residence, marital status, years of education and financial support), body mass index (BMI) and health behaviours (ie, smoking, drinking and exercise). A univariate logistic regression was used to test the factors associated with frailty. A multiple logistic regression model was used, using the frailty score as the dependent variable and the number of teeth together with significant covariates as the independent variables.

RESULTS

The prevalence of frailty was 27.68%. The mean number of teeth present was 9.23 (SD=10.03). The multiple logistic regression showed that older adults' demographic variables, health behaviours, BMI, tooth number and chewing pain were significantly associated with frailty. After adjusting for the covariates, older adults with fewer teeth had significantly higher odds of frailty than those with 20 or more teeth (no teeth: OR=2.07, 95% CI 1.53 to 2.80; 1 to 10 teeth: OR=1.77, 95% CI 1.31 to 2.38), except for older adults with 11 to 20 teeth (OR=1.30, 95% CI 0.93 to 1.82).

CONCLUSIONS

The presence of fewer teeth is significantly associated with frailty status among older Chinese adults. Future studies are needed to explain the specific mechanisms underlying how oral health status is associated with frailty.

Frailty: implications for clinical practice and public health

Frailty is an emerging global health burden, with major implications for clinical practice and public health. The prevalence of frailty is expected to rise alongside rapid growth in the ageing population. The course of frailty is characterised by a decline in functioning across multiple physiological systems, accompanied by an increased vulnerability to stressors. Having frailty places a person at increased risk of adverse outcomes, including falls, hospitalisation, and mortality. Studies have shown a clear pattern of increased health-care costs and use associated with frailty. All older adults are at risk of developing frailty, although risk levels are substantially higher among those with comorbidities, low socioeconomic position, poor diet, and sedentary lifestyles. Lifestyle and clinical risk factors are potentially modifiable by specific interventions and preventive actions. The concept of frailty is increasingly being used in primary, acute, and specialist care. However, despite efforts over the past three decades, agreement on a standard instrument to identify frailty has not yet been achieved. In this Series paper, we provide an overview of the global impact and burden of frailty, the usefulness of the frailty concept in clinical practice, potential targets for frailty prevention, and directions that need to be explored in the future.

Development of a Fried Frailty Phenotype Questionnaire for Use in Screening Community-Dwelling Older Adults

OBJECTIVES

The aim of this study was to develop a Fried Frailty Phenotype Questionnaire (FFPQ) and a Japanese FRAIL (fatigue, resistance, ambulation, illnesses, and loss of weight) scale (FRAIL-J) and to evaluate the reliability and validity of both questionnaires in Japanese community-dwelling older adults.

DESIGN

Cross-sectional analysis of Itoshima Frail Study (IFS).

SETTING

The IFS is an ongoing community-based prospective study in Itoshima (Japan).

PARTICIPANTS

A total of 858 older adults age 65-75 years.

METHODS

The FRAIL-J comprises 5 existing items comparable to those in original FRAIL scale but with broader utilization in the Japanese healthcare system. In FFPQ, resistance, ambulation, and loss of weight were the same as those in FRAIL-J. Fatigue was the same with exhaustion in FFP and inactivity was assessed using a yes or no question. Data including demographics, and physical and cognitive functions, and objective physical activity was collected and analyzed in relation to both questionnaires.

RESULTS

The FFPQ and FRAIL-J showed low internal consistency (Kuder-Richardson formula 20 coefficients = 0.32 and 0.29) and good test-retest reliability (intraclass correlation coefficients = 0.79 and 0.72). The correlations ranged from -0.22 to 0.49 when correlating each item with cross-sectional outcomes. Using FFP as a criterion, the ares under the curve for FRAIL-J and FFPQ were 0.86 and 0.88, respectively. The optimal cut-off for FRAIL-J was 2, with a higher Youden index (66.7% vs 20.3% for 3) and a high negative predictive value (99.5%) but low positive predictive value (13.1%). As for FFPQ, either 2 or 3 was evaluated as cut-off because the Youden index (62.2% vs 58.5%) and negative predictive value (99.7% vs 99.2%) were similar although the positive predictive value was low (9.7% vs 33.3%). Using a 2-point cut-off, both questionnaires had slight agreement with FFP. The highest agreement (kappa = 0.42) was found between FFP and FFPQ using a 3-point cut-off.

CONCLUSIONS/IMPLICATIONS

The FFPQ and FRAIL-J can be used for frailty screening in Japanese community-dwelling older adults.

Frailty, Hospitalization, and Mortality in Residential Aged Care

Background

Frailty predicts mortality in residential aged care, but the relationship with hospitalization is inconsistent. The purpose of this study was to investigate and compare whether frailty is associated with hospitalization and mortality among residents of aged care services.

Methods

A prospective cohort study of 383 residents aged 65 years and older was conducted in six Australian residential aged care services. Frailty was assessed using the FRAIL-NH scale and a 66-item frailty index.

Results

Overall, 125 residents were hospitalized on 192 occasions and 85 died over the 12-month follow-up. Over this period, less than 3% of the nonfrail/vulnerable residents but more than 20% of the most frail residents died at the facility without hospitalization. Using the FRAIL-NH, residents with mild/moderate frailty had higher numbers of hospitalizations (adjusted incidence rate ratio 1.57, 95% confidence interval [CI] 1.11-2.20) and hospital days (incidence rate ratio 1.48, 95% CI 1.32-1.66) than nonfrail residents. Residents who were most frail had lower numbers of hospitalizations (incidence rate ratio 0.65, 95% CI 0.42-0.99) and hospital days (incidence rate ratio 0.39, 95% CI 0.33-0.46) than nonfrail residents. Similar patterns of associations with number of hospital days were observed for the frailty index. Most frail residents had a higher risk of death than nonfrail residents (for FRAIL-NH, adjusted hazard ratio 2.96, 95% CI 1.50-5.83; for frailty index, hazard ratio 5.28, 95% CI 2.05-13.59).

Conclusions

Residents with mild/moderate frailty had higher risk of hospitalization and death than nonfrail residents. Residents who were most frail had higher risk of death but lower risk of hospitalization than nonfrail residents.

If my muscle could talk: Myokines as a biomarker of frailty

Frailty is a potentially reversible state of increased vulnerability to negative health-related outcomes that occurs as a result of multisystem biological impairment and environmental aspects. Given the relevance of this condition in both clinics and research, biomarkers of frailty have been actively sought after. Although several candidate biomarkers of frailty have been identified, none of them has yet been incorporated in the assessment or monitoring of the condition. Over the last years, increasing research interest has been focused on myokines, a set of cytokines, small proteins and proteoglycan peptides that are synthetized, expressed and released by skeletal myocytes in response to muscular contractions. Myokines may act in autocrine, paracrine, and endocrine manner and regulate several processes associated with physical frailty, including muscle wasting, dynapenia, and slowness. This review discusses the rationale to support the use of myokines as biomarkers of frailty in older adults.

Relationship between frailty and mortality, hospitalization, and cardiovascular diseases in diabetes: a systematic review and meta-analysis

Background

In patients with diabetes, death and cardiovascular diseases are attributed to classical risk factors such as hypertension, dyslipidemia, and smoking habit, whereas these events are attributed to frailty in the remaining patients. In this meta-analysis, we examined the relationship between frailty and mortality, hospitalization, and cardiovascular diseases in patients with diabetes.

Methods

Literature search was conducted using databases such as MEDLINE, Cochrane Controlled Trials Registry, and ClinicalTrials.gov. Studies that examined the relationship between frailty and mortality, hospitalization, and cardiovascular disease and included hazard ratios (HRs), odds ratios (ORs), and 95% confidence intervals (CIs) were included. Statistical analysis was performed using a random effects model, and pooled HRs, pooled ORs, and 95% CIs were calculated.

Results

The literature search extracted 8 studies (565,039 patients) that met our inclusion criteria, which were included in this meta-analysis. The pooled HR of prefrailty and frailty related to mortality was 1.09 (95% CI 1.01–1.17; P = 0.02) and 1.35 (95% CI 1.05–1.74; P = 0.02), respectively, indicating a significant relationship between them. The pooled OR of prefrailty and frailty related to hospitalization was 2.15 (95% CI 1.30–3.54; P = 0.003) and 5.18 (95% CI 2.68–9.99; P < 0.001), respectively, indicating a significant relationship. Although a significant relationship was found between frailty and cardiovascular diseases, we found only few related studies; thus, robust results could not be obtained.

Conclusions

In patients with diabetes, a significant relationship was observed between frailty and mortality and hospitalization. However, only few heterogeneous studies were included, warranting further examination.

Effectiveness and Estimation of Cost-Effectiveness of a Group-Based Multicomponent Physical Exercise Programme on Risk of Falling and Frailty in Community-Dwelling Older Adults

This study analyses the effectiveness and cost-effectiveness of a group-based multicomponent physical exercise programme aimed at reducing the risk of falling and frailty in community-dwelling older adults. This is a pretest–posttest non-equivalent control group design, with an intervention group and a comparison group. Participants were evaluated at baseline and after 9 months. The effectiveness analyses showed significant reduction in the risk of falling (−45.5%; p = 0.000) and frailty (−31%; p = 0.000) after the intervention for the participants in the physical exercise programme. Moreover, these participants showed an improvement in limitations in activities of daily living, self-care ability and the use of health resources, physical performance, balance and body mass index. The cost-effectiveness analyses showed that the intervention was cost-saving and more effective than usual care scenario. A novel group-based multicomponent physical exercise programme showed to be more effective and cost-effective than usual care for older adults suffering from risk of falling and frailty.

Increased healthcare costs associated with frailty among community-dwelling older people: A systematic review and meta-analysis

BACKGROUND

Although frailty of older people has been shown to be associated with numerous adverse health outcomes, evidence on healthcare costs associated with frailty is scarce.

METHODS

Medline, Embase, PsycINFO, and AMED were electronically searched in January 2019 based on a protocol in accordance with the PRISMA statement using Medical Subjective Heading and free text terms, with explosion functions. Language restriction was not applied. Studies were considered if they were published between 2000 to January 2019 and provided healthcare costs stratified by the frailty status categories among community-dwelling older people with a mean age of 60 years or higher. Reference lists of the included studies were reviewed for additional studies. Healthcare costs according to frailty status were compared using standardized mean difference random-effects meta-analysis.

RESULTS

The systematic review found 3116 citations. After screening for title, abstract, and full-text for eligibility, 5 studies involving 3742362 participants were included. Healthcare costs were compared across three frailty status, robust, prefrailty, and frailty. Both prefrailty (5 studies, Hedges' g = 0.24, 95% confidence interval (CI) = 0.15-0.33, p < 0.001) and frailty (5 studies, Hedges' g = 0.62, 95%CI = 0.61-0.62, p < 0.001) were associated with significantly higher healthcare costs when compared with robustness. There was a high degree of heterogeneity. The risk of publication bias was considered to be low in funnel plots.

CONCLUSIONS

This systematic review and meta-analysis found a dose-response increase in the healthcare costs associated with frailty among community-dwelling older adults. Future research should recognize frailty as an important factor associated with increased healthcare costs.

Physical frailty in older men: prospective associations with diet quality and patterns

BACKGROUND

increasing numbers of older adults are living with frailty and its adverse consequences. We investigated relationships between diet quality or patterns and incident physical frailty in older British men and whether any associations were influenced by inflammation.

METHODS

prospective study of 945 men from the British Regional Heart Study aged 70-92 years with no prevalent frailty. Incident frailty was assessed by questionnaire after 3 years of follow-up. Frailty was defined as having at least three of: low grip strength, low physical activity, slow walking speed, unintentional weight loss and feeling of low energy, all based on self-report. The Healthy Diet Indicator (HDI) based on WHO dietary guidelines and the Elderly Dietary Index (EDI) based on a Mediterranean-style dietary intake were computed from questionnaire data and three dietary patterns were identified using principal components analysis: prudent, high fat/low fibre and high sugar.

RESULTS

men in the highest EDI category and those who followed a prudent diet were less likely to become frail [top vs bottom category odds ratio (OR) (95% CI) 0.49 (0.30, 0.82) and 0.53 (0.30, 0.92) respectively] after adjustment for potential confounders including BMI and prevalent cardiovascular disease. No significant association was seen for the HDI. By contrast those who had a high fat low fibre diet pattern were more likely to become frail [OR (95% CI) 2.54 (1.46, 4.40)]. These associations were not mediated by C-reactive protein (marker of inflammation).

CONCLUSIONS

the findings suggest adherence to a Mediterranean-style diet is associated with reduced risk of developing frailty in older people.

A New Functional Classification Based on Frailty and Disability Stratifies the Risk for Mortality Among Older Adults: The FRADEA Study

OBJECTIVES

The aim of the current study was to investigate whether a new functional classification, based on basic (BADL) and instrumental (IADL) activities of daily living and frailty, is associated with mortality in older adults during 10 years of follow-up.

DESIGN

Cohort study, with a follow-up of 10 years.

SETTING AND PARTICIPANTS

A total of 924 participants aged 70 and older from the Frailty and Dependence in Albacete (FRADEA) study, a population-based sample of Spanish older adults.

MEASURES

At baseline, a new functional classification of 8 categories was constructed with limitations in BADL using the Barthel Index, limitations in IADL using the Lawton IADL Index, and the criteria of the frailty phenotype. Associations with 10-year mortality were assessed using Kaplan-Meier curves and Cox proportional hazard models.

RESULTS

The risk of mortality gradually increased toward the less functionally independent end of the classification. The presence of mild, moderate, or severe BADL impairment was associated with mortality, in models adjusted for age, sex, comorbidity and institutionalization. The analyses also revealed that those who were BADL independent, IADL dependent and prefrail [hazard ratio (HR) = 2.27, 95% confidence interval (CI) = 1.22-4.20], and those who were BADL independent and frail (HR = 3.74, 95% CI = 1.88-7.42) had an increased risk of mortality.

CONCLUSIONS/IMPLICATIONS

A new functional classification composed of BADL, IADL, and frailty representing the functional continuum is effective in stratifying the risk for mortality in older adults. Frailty is a high-mortality-risk state close to subjects with mild disability in BADL, needing an intensive specialized approach. Prefrailty with any impairment in IADL has an intermediate mortality risk and should be offered primary care interventions.

Transitions between frailty states among community-dwelling older people: A systematic review and meta-analysis

Frailty is a well-established risk factor for adverse health outcomes. However, comparatively little is known about the dynamic nature of frailty and the extent to which it can improve. The purposes of this study were to systematically search for studies examining frailty transitions over time among community-dwelling older people, and to synthesise pooled frailty transitions rates. Four electronic databases (Medline, Embase, PsycINFO and CINAHL) were searched in July 2018. Inclusion criteria were: prospective design, community-dwelling older people with mean age>60, using 5-item frailty phenotype criteria to define three states: robust, prefrail and frail and the numbers of participants with 9 frailty transition patterns based on frailty status at baseline and follow-up. Exclusion criteria were: selected populations, using fewer than 5 frailty phenotype criteria. Two investigators independently screened 504 studies for eligibility and identified 16 studies for this review. Data were extracted by the two investigators independently. Pooled rates of frailty transition patterns were calculated by random-effects meta-analysis. Among 42,775 community-dwelling older people from 16 studies with a mean follow-up of 3.9 years (range: 1-10 years), 13.7% (95%CI = 11.7-15.8%) improved, 29.1% (95%CI = 25.9-32.5%) worsened and 56.5% (95%CI = 54.2-58.8%) maintained the same frailty status. Among those who were robust at baseline, pooled rates of remaining robust or transitioning to prefrail and frail were 54.0% (95%CI = 48.8-59.1%), 40.6% (95%CI = 36.7-44.7%) and 4.5% (95%CI = 3.2-6.1%), respectively. Among those who were prefrail at baseline, corresponding rates to robust, prefrail and frail were 23.1% (95%CI = 18.8-27.6%), 58.2% (95%CI = 55.6-60.7%) and 18.2% (95%CI = 14.9-21.7%), respectively. Among those who were frail at baseline, pooled rates of transitioning to robust, prefrail and remaining frail were 3.3% (95%CI = 1.6-5.5%), 40.3% (95%CI = 34.6-46.1%) and 54.5% (95%CI = 47.6-61.3%), respectively. Stratified and meta-regression analyses showed age, gender and follow-up period were associated with frailty transition patterns. Older people make dynamic changes in their frailty status. Given that while one quarter of prefrail older people improved to robust only 3% of frail older people did, early interventions should be considered.

Frailty syndrome: implications and challenges for health care policy

Older adults are a highly heterogeneous group with variable health and functional life courses. Frailty has received increasing scientific attention as a potential explanation of the health diversity of older adults. The frailty phenotype and the Frailty Index are the most frequently used frailty definitions, but recently new frailty definitions that are more practical have been advocated. Prevalence of frailty among the community-dwelling population aged 65 years and older is ~10% but varies depending on which frailty definitions are used. The mean prevalence of frailty gradually increases with age, but the individual's frailty level can be improved. Older adults, especially frail older adults, form the main users of medical and social care services. However, current health care systems are not well prepared to deal with the chronic and complex medical needs of frail older patients. In this context, frailty is potentially a perfect fit as a risk stratification paradigm. The evidence from frailty studies has not yet been fully translated into clinical practice and health care policy making. Successful implementation would improve quality of care and promote healthy aging as well as diminish the impact of aging on health care systems and strengthen their sustainability. At present, however, there is no effective treatment for frailty and the most effective intervention is not yet known. Based on currently available evidence, multi-domain intervention trials, including exercise component, especially multicomponent exercise, which includes resistance training, seem to be promising. The current challenges in frailty research include the lack of an international standard definition of frailty, further understanding of interventions to reverse frailty, the best timing for intervention, and education/training of health care professionals. The hazards of stigmatization should also be considered. If these concerns are properly addressed, widespread application of public health approaches will be possible, including screening, identification, and treatment of frailty, resulting in better care and healthier aging for older people.

The role of frailty in predicting mortality and readmission in older adults in acute care wards: a prospective study

Few studies have focused on frailty as a predictor of mortality and readmission among inpatients in the acute care setting, especially over long follow-up periods. We conducted this study to determine the impact of the frailty on subsequent mortality and readmission in this setting. This study was a prospective observational study conducted in the acute geriatric wards, with a three-year follow-up duration. We assessed frailty via the 36-item Frailty Index (FI), and a cut-off value of 0.25 was used to identify the presence or absence of frailty. We collected survival and readmission information through telephone interviews at 12, 24, and 36 months. We used the Cox regression model to examine the association between frailty and outcomes interested (death and readmission). The present study included 271 patients (mean age: 81.1 years old; 20.3% females), of whom 21.4% died during the 3-year follow-up period. One hundred and thirty-three patients (49.1%) were identified as being frail. The prevalence of frailty was similar in men and women (46.8% vs.58.2%, P = 0.130). Compared with non-frail patients, death and hospital readmission rates of frail patients were increased. Frailty was an independent predictor of 3-year death (adjusted hazard ratio (HR): 2.09; 95% confidence interval (CI): 1.20 to 3.63) and readmission (adjusted HR: 1.40; 95% CI: 1.04 to 1.88) after adjusting for several potential confounders. Frailty is prevalent among older inpatients and is a valuable predictor of 3-year mortality and hospital readmission in an acute care setting.

Prevalence and Risk Factors for Frailty among Community-Dwelling Older People in China: A Systematic Review and Meta-Analysis

OBJECTIVE

To systematically assess the prevalence of frailty, including prefrailty, stratified prevalence according to frailty criteria, gender, age, and region, and the risk factors for frailty in China.

DESIGN

We conducted a systematic literature review and meta-analysis using articles available in 8 databases including PubMed, Cochrane Library, Web of Science, CINAHL Plus, China Knowledge Resource Integrated Database (CNKI), Wanfang Database, Chinese Biomedical Database (CBM), and Weipu Database (VIP).

SETTING

Cross-sectional and cohort data from Chinese community.

PARTICIPANTS

Community-dwelling adults aged 65 and older.

MEASUREMENTS

Two authors independently extracted data based upon predefined criteria. Where data were available we conducted a meta-analysis of frailty parameters using a random-effects model.

RESULTS

We screened 915 different articles, and 14 studies (81258 participants) were ultimately included in this analysis. The prevalence of frailty and prefrailty in individual studies varied from 5.9% to 17.4% and from 26.8% to 62.8%, respectively. The pooled prevalence of frailty and prefrailty were 10% (95% CI: 8% to 12%, I2 = 97.4%, P = 0.000) and 43% (95% CI: 37% to 50%, I2 = 98.0%, P = 0.000), respectively. The pooled frailty prevalence was 8% for the Fried frailty phenotype, 12% for the frail index, and 15% for the FRAIL scale. Age-stratified meta-analyses showed the pooled prevalence of frailty to be 6%, 15%, and 25% for those aged 65-74, 75-84, and ≥85 years old, respectively. The pooled prevalence of frailty was 8% for males and 11% for females. The pooled prevalence of frailty in Mainland China, Taiwan, and Hong Kong was 12%, 8%, and 14%, respectively. The pooled frailty prevalence was 10% in urban areas and 7% in rural areas. After controlling for confounding variables, increasing age (OR = 1.28, 95% CI: 1.2 to 1.36, I2 = 98.0%, P = 0.000), being female (OR = 1.29, 95% CI: 1.16 to 1.43, I2 =92.7%, P=0.000), activities of daily living (ADL) disability (OR = 1.72, 95% CI: 1.57 to 1.90, I2 = 99.7%, P = 0.000), and having three or more chronic diseases (OR = 1.97, 95% CI: 1.78 to 2.18, I2 = 97.5%, P = 0.000) were associated with frailty.

CONCLUSIONS

These findings of this review indicate an overall pooled prevalence of frailty among Chinese community-dwelling older people of 10%. Increasing age, being female, ADL disability, and having three or more chronic diseases were all risk factors for frailty. Further research will be needed to identify additional frailty risk factors in order to better treat and prevent frailty in the community.

Nutritional interventions for the treatment of frailty in older adults: a systematic review protocol

BACKGROUND

Frailty has been defined as a clinical syndrome of multicausal origin characterized by a reduction of physiologic reserves that increase the vulnerability of an individual to adverse outcomes such as the development of functional dependence and death. Considered one of the most important geriatric syndromes, frailty's prevention and management represent important goals for gerontology and geriatrics. Although nutrition plays an important role within the multifactorial susceptibility for this syndrome, up to the present no systematic review specifically addressed the effectiveness of nutritional interventions for the treatment of frailty. Therefore, we propose the present systematic review with the aim to assess the effectiveness of nutritional interventions for the treatment of frailty in older adults living in the community or in long-term care facilities.

METHODS

We will search Medline (via Pubmed), Embase, Cinahl, Central, Lilacs, Web of Science, and sources of gray literature. We will accept trials whereby the unit of randomization consisted of individuals or clusters of individuals. Our primary outcome is all-cause mortality. Secondary outcomes are quality of life, functional status, cognitive function, frailty status, body composition, and physical activity. Risk of bias will be assessed using the Cochrane Collaboration tool. We will analyze the overall strength of the evidence for each outcome using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) tool. Two independent researchers will conduct all evaluations and any disagreements will be resolved through the participation of a 3rd author. If possible, we will perform random-effects meta-analyses and subgroup analyses concerning specific details of nutritional interventions (e.g., components and duration), research scenario, risk of bias, and criteria used to diagnose frailty.

CONCLUSION

In this systematic review protocol we outline the details of the aims and methods of a systematic review on the effectiveness of nutritional interventions for the management of frailty in older adults living in the community or in long-term care facilities". We believe this wording to be more objective and balanced than the previous one. We understand that it is not ideal to propose changes to the text after manuscripts have been accepted. However, we feel that the new wording of the conclusion section of the abstract is more consistent with the overall content of the main text of the review than its previous version. Hence, we hope you may accept our request.

Alcohol Consumption and Risk of Incident Frailty: The English Longitudinal Study of Aging

BACKGROUND

Alcohol consumption is a common modifiable lifestyle factor. Alcohol may be a risk factor for frailty, however, there is limited evidence in the literature.

OBJECTIVE

The objectives of this study were to examine the association of alcohol consumption with the risk of incident frailty.

METHODS

This is a prospective panel study of 2544 community-dwelling people aged 60 years and older in England. Frailty status defined by frailty phenotype criteria was measured at baseline and 4 years later. Participants free of frailty at baseline were divided into 5 groups based on quantity of self-reported alcohol consumption per week with cut-points at 0, 7, 14, and 21 UK units per week. Adjusted odds ratios (OR) were calculated for incident frailty according to the alcohol consumption using logistic regression models.

RESULTS

Compared with the low consumption group (>0 and ≤7 units per week), incident frailty risk over 4 years was significantly higher among nondrinkers [OR 1.71, 95% confidence interval (CI) 1.12‒2.60, P value = .01], after controlling for sociodemographic confounders. In a supplementary analysis this became nonsignificant after further adjustment for baseline health status. Heavy drinkers (>21 units per week) had a significantly lower incident frailty risk (unadjusted OR 0.45, 95% CI 0.27‒0.75, P < .01), which became nonsignificant on adjustment for sociodemographic factors (OR 0.64, 95% CI 0.37‒1.13, P = .12).

CONCLUSIONS/IMPLICATIONS

We found that nondrinkers were more likely than those with low alcohol consumption to develop frailty, but this appeared to be explained by poorer baseline health status. No evidence was found for an association between high levels of alcohol consumption and becoming frail. Future studies with information on life-course history of alcohol use, especially for those classified as nondrinkers in old age, are warranted.

Quick and Simple FRAIL Scale Predicts Incident Activities of Daily Living (ADL) and Instrumental ADL (IADL) Disabilities: A Systematic Review and Meta-analysis

OBJECTIVES

To quantitatively examine frailty defined by FRAIL scale as a predictor of incident disability risks by conducting a systematic review and meta-analysis.

DESIGN

Systematic review and meta-analysis.

SETTING

A systematic review was conducted using 4 electronic databases (Embase, MEDLINE, CINAHL, and PsycINFO) in April 2018 for prospective cohort studies of middle-aged or older people examining associations between frailty and incident disability. Reference lists of the included studies were hand-searched for additional studies. Authors of potentially eligible studies were contacted for additional data if necessary. Methodological quality was assessed by the Newcastle-Ottawa scale.

PARTICIPANTS

Community-dwelling middle-aged and older people.

MEASUREMENTS

Incident risks of activities of daily living (ADL) or instrumental activities of daily living (IADL) disability according the FRAIL scale-defined frailty.

RESULTS

Seven studies provided odds ratios of incident disability risks according to frailty and were included in the meta-analysis. A random effects meta-analysis showed that frailty and prefrailty were significant predictors of ADL [pooled odds ratio (OR) = 9.82, 95% confidence interval (CI) = 4.71-20.46, P < .001 for frailty (FRAIL scale = 3-5) and pooled OR = 2.08, 95% CI = 1.77-2.45, P < .001 for prefrailty (FRAIL scale = 1-2) compared with robustness (FRAIL scale = 0); pooled OR = 4.44, 95% CI = 3.26-6.04, P < .001 for frailty compared with nonfrailty (FRAIL scale = 0-2)] and IADL (pooled OR = 2.50, 95% CI = 1.67-3.73, P < .001, for frailty and pooled OR = 1.74, 95% CI = 1.10-2.77, P = .02, for prefrailty compared with robustness). There was no evidence of publication bias.

CONCLUSIONS/IMPLICATIONS

The current study demonstrated that frailty status defined by the FRAIL scale was a significant predictor of disability among community-dwelling middle-aged and older individuals. In light of feasibility of the FRAIL scale, especially in a clinical setting, it may be a promising tool to facilitate the translation of frailty research into clinical practice.

Donepezil may reduce the risk of comorbidities in patients with Alzheimer's disease: A large-scale matched case-control analysis in Japan

Introduction

Few studies have focused on the association between donepezil and physical comorbid conditions in Alzheimer's disease patients.

Methods

We investigated the association between donepezil prescription and the occurrences of comorbidities in Alzheimer's disease patients, by using an electronic medical records database which contains case-based information on approximately three million patients from more than 60 hospitals across Japan.

Results

Nine thousand seven hundred forty-nine patients had at least one diagnosis of Alzheimer's disease between 2001 and 2015. To test the robustness of the results, we used a risk set sampling method, and the matched cohorts based on age, sex, comorbidity level, and duration of illness consisted of 1406 cases and an equal number of controls. From the multivariate logistic regression analysis adjusted for covariance, less occurrence of physical comorbidities was associated with donepezil prescription in the matched cohort.

Discussion

Although the mechanisms are unknown, donepezil may have positive effects on both cognition and physical status.

Impact of hospitalization on the functional capacity of the elderly: A cohort study

Abstract Objective: To verify the trajectory of the functional capacity of elderly persons hospitalized due to clinical conditions in a university hospital. Method: A descriptive, prospective cohort study was conducted between 2015 and 2016. Elderly patients admitted to the Hospital das Clínicas of Botucatu Medical School (Unesp), Brazil, were evaluated for the functional assessment of basic activities of daily living (BADL) using the Katz scale, nutritional status (body mass index (BMI)) and presence of the Frailty Syndrome (FS) (Fried criteria). A description of the trajectory of functional capacity was carried out at four times: 15 days before admission (T0), at admission (T1), at hospital discharge (T2) and 30 days after discharge (T3). Results: 99 elderly people with a mean age of 74 (+7.35) years, 59.6% of whom were male, were evaluated. Of these, 81.8% presented functional independence at T0, 45.5% at T1, 57.6% at T2 and 72.8% at T3. According to their functional trajectories, 28.2% of the elderly lost functional capacity between T0 and T3. There was an association between worsening of functional capacity between T0 and T3 and the FS (RR 4.56; 95% CI 1.70-12.26, p=0.003). Conclusion: Elderly patients have worse functional capacity at hospital discharge than before hospitalization. About 28.0% of the elderly had worse functional capacity 30 days after discharge than 15 days before admission. The elderly with Frailty Syndrome have a greater risk for worse functional capacity results 30 days after discharge.