Frailty and usage of health care systems: Results from the South Australian Monitoring and Surveillance System (SAMSS)

Prognostic accuracy of eight frailty instruments for all-cause mortality in Australian primary care

AIM

To investigate the ability of eight frailty instruments to accurately predict all-cause mortality and other adverse outcomes in Australian primary care patients.

METHODS

Study participants included adults aged ≥75 years attending one of three primary care clinics in South Australia. Frailty instruments studied were Fried's frailty phenotype (FFP), the Frailty Index (FI) of cumulative deficits, Kihon Checklist (KCL), the Fatigue Resistance Ambulation Illness and Loss of weight (FRAIL) scale, Groningen Frailty Indicator (GFI), PRISMA-7, Reported Edmonton Frail Scale (REFS), and gait speed. Primary outcomes were all-cause mortality at 12- and 24-months. Secondary outcomes included falls, general practice attendance, hospital admission and emergency department (ED) presentation at 12-months.

RESULTS

243 participants (55.6 % female) with a mean (SD) age of 80.2 (4.6) years were included. 29 participants (16.6 %) were classified as frail at baseline by FFP. All frailty instruments demonstrated a significant ability to predict 12- and 24-month mortality. The REFS showed the highest auROC for both 12- and 24-month mortality. The REFS, Frailty Index, Kihon Checklist, FRAIL scale, and gait speed showed excellent discriminative ability for 12-month mortality (auROC ≥ 0.8 - >0.9), while the remainder showed acceptable discrimination. All frailty instruments, with the exception of the GFI, showed an excellent discriminative ability for 24-month mortality (auROC 0.8-<0.9).

CONCLUSIONS

All frailty instruments possessed adequate discriminative ability for all-cause mortality predicting in older primary care patients. Frailty measurement is thus a valuable strategy to identify older patients at risk of mortality and can guide clinical decision-making in primary care settings.

Predictive factors of mortality in very old patients visited in Emergency Department and admitted for infection

OBJECTIVE

To describe mortality predictive factors in patients 80years or older with infection who were visited at the emergency department and were admitted to hospital.

METHODS

Retrospective observational study. Patients ≥80years old who visited the emergency department (January 1st to December 31st, 2022), whose main diagnosis was infection and required admission, were included. Factors associated with mortality at the end of the episode were determined.

RESULTS

987 patients were included (mean age 87years, 53% women). Mortality at the end of the episode was 13% (n=127). Median survival of the series was 52days (95%CI: 44-60). The independent factors related to mortality were: age (HR: 1.07; 95%CI: 1.03-1.11; P<.001), frailty (Clinical Frailty Scale [CFS]) (HR: 1.51; 95%CI: 1.15-1.97; P=.003), qSOFA (HR: 1.35; 95%CI: 1.07-1.70; P=.01), SOFA (HR: 1.23; 95%CI: 1.15-1.38; P<.001), leukocyte count (HR: 1.04; 95%CI: 1.02-1.06; P<.001) and criteria for sepsis and/or septic shock (HR: 2.52; 95%CI: 1.63-3.87; P<.001). On the contrary, any type of microbiological isolation was associated with lower mortality (HR: 0.44; 95%CI: 0.29-0.64; P<.001).

CONCLUSIONS

qSOFA and SOFA scores, the sepsis and septic shock criteria, as well as frailty are predictive factors of poor prognosis in very elderly patients who come to the emergency room due to infection. Knowing frailty would allow us to adapt the treatment and therapeutic effort to the patient's characteristics.

Clinical outcomes of nurse-coordinated interventions for frail older adults discharged from hospital: A systematic review and meta-analysis

AIM

To determine the effects of nurse-coordinated interventions in improving readmissions, cumulative hospital stay, mortality, functional ability and quality of life for frail older adults discharged from hospital.

DESIGN

Systematic review with meta-analysis.

METHODS

A systematic search using key search terms of 'frailty', 'geriatric', 'hospital' and 'nurse'. Covidence was used to screen individual studies. Studies were included that addressed frail older adults, incorporated a significant nursing role in the intervention and were implemented during hospital admission with a focus on transition from hospital to home.

DATA SOURCES

This review searched MEDLINE (Ovid), CINAHL (EBSCO), PubMed (EBSCO), Scopus, Embase (Ovid) and Cochrane library for studies published between 2000 and September 2023.

RESULTS

Of 7945 abstracts screened, a total 16 randomised controlled trials were identified. The 16 randomised controlled trials had a total of 8795 participants, included in analysis. Due to the heterogeneity of the outcome measures used meta-analysis could only be completed on readmission (n = 13) and mortality (n = 9). All other remaining outcome measures were reported through narrative synthesis. A total of 59 different outcome measure assessments and tools were used between studies. Meta-analysis found statistically significant intervention effect at 1-month readmission only. No other statistically significant effects were found on any other time point or outcome.

CONCLUSION

Nurse-coordinated interventions have a significant effect on 1-month readmissions for frail older adults discharged from hospital. The positive effect of interventions on other health outcomes within studies were mixed and indistinct, this is attributed to the large heterogeneity between studies and outcome measures.

RELEVANCE TO CLINICAL PRACTICE

This review should inform policy around transitional care recommendations at local, national and international levels. Nurses, who constitute half of the global health workforce, are ideally situated to provide transitional care interventions. Nurse-coordinated models of care, which identify patient needs and facilitate the continuation of care into the community improve patient outcomes.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

Review findings will be useful for key stakeholders, clinicians and researchers to learn more about the essential elements of nurse-coordinated transitional care interventions that are best targeted to meet the needs of frail older adults.

IMPACT

When frail older adults experience transitions in care, for example discharging from hospital to home, there is an increased risk of adverse events, such as institutionalisation, hospitalisation, disability and death. Nurse-coordinated transitional care models have shown to be a potential solution to support adults with specific chronic diseases, but there is more to be known about the effectiveness of interventions in frail older adults. This review demonstrated the positive impact of nurse-coordinated interventions in improving readmissions for up to 1 month post-discharge, helping to inform future transitional care interventions to better support the needs of frail older adults.

REPORTING METHOD

This systematic review was reported in accordance with the Referred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

PATIENT OR PUBLIC CONTRIBUTION

No Patient or Public Contribution.

The sublingual microcirculation and frailty index in chronic kidney disease patients

OBJECTIVE

To examine the relationship between sublingual microcirculatory measures and frailty index in those attending a kidney transplant assessment clinic.

METHODS

Patients recruited had their sublingual microcirculation taken using sidestream dark field videomicroscopy (MicroScan, Micro Vision Medical, Amsterdam, the Netherlands) and their frailty index score using a validated short form via interview.

RESULTS

A total of 44 patients were recruited with two being excluded due to microcirculatory image quality scores exceeding 10. The frailty index score indicated significant correlations with total vessel density (p < .0001, r = -.56), microvascular flow index (p = .004, r = -.43), portion of perfused vessels (p = .0004, r = -.52), heterogeneity index (p = .015, r = .32), and perfused vessel density (p < .0001, r = -.66). No correlation was shown between the frailty index and age (p = .08, r = .27).

CONCLUSIONS

There is a relationship between the frailty index and microcirculatory health in those attending a kidney transplant assessment clinic, that is not confounded by age. These findings suggest that the impaired microcirculation may be an underlying cause of frailty.

Identifying Dysphagia and Demographic Associations in Older Adults Using Electronic Health Records: A National Longitudinal Observational Study in Wales (United Kingdom) 2008-2018

Dysphagia is increasingly being recognised as a geriatric syndrome (giant). There is limited research on the prevalence of dysphagia using electronic health records. To investigate associations between dysphagia, as recorded in electronic health records and age, frailty using the electronic frailty index, gender and deprivation (Welsh index of multiple deprivation). A Cross-sectional longitudinal cohort study in over 400,000 older adults was undertaken (65 +) in Wales (United Kingdom) per year from 2008 to 2018. We used the secure anonymised information linkage databank to identify dysphagia diagnoses in primary and secondary care. We used chi-squared tests and multivariate logistic regression to investigate associations between dysphagia diagnosis and age, frailty (using the electronic Frailty index), gender and deprivation. Data indicated < 1% of individuals were recorded as having a dysphagia diagnosis per year. We found dysphagia to be statistically significantly associated with older age, more severe frailty and individuals from more deprived areas. Multivariate analyses indicated increased odds ratios [OR (95% confidence intervals)] for a dysphagia diagnosis with increased age [reference 65-74: aged 75-84 OR 1.09 (1.07, 1.12), 85 + OR 1.23 (1.20, 1.27)], frailty (reference fit: mild frailty 2.45 (2.38, 2.53), moderate frailty 4.64 (4.49, 4.79) and severe frailty 7.87 (7.55, 8.21)] and individuals from most deprived areas [reference 5. Least deprived, 1. Most deprived: 1.10 (1.06, 1.14)]. The study has identified that prevalence of diagnosed dysphagia is lower than previously reported. This study has confirmed the association of dysphagia with increasing age and frailty. A previously unreported association with deprivation has been identified. Deprivation is a multifactorial problem that is known to affect health outcomes, and the association with dysphagia should not be a surprise. Research in to this relationship is indicated.

Use of health care services according to functional performance in community-dwelling older adults in Spain. An approach using GAMLSS models

Functional performance in older adults is a predictor of survival and other health outcomes and its measurement is highly recommended in primary care settings. Functional performance and frailty are closely related concepts, and frailty status is associated with the use of health care services. However, there is insufficient evidence on the utilization of services profile according to the functional performance of older adults. The aim of this study was to assess the relationship between functional performance and the use of a wide range of health services in community-dwelling older adults. Generalized additive models for location, scale and shape were used to study these complex data of services utilization, from primary to hospital care. A total of 749 participants from two Spanish regions were followed up for 2 years. Of those, 276 (37%) presented low functional performance and 473 (63%) normal performance according to the Timed Up and Go test. The results showed that even after adjusting for burden of comorbidity and polypharmacy, participants with low functional performance used primary and secondary care health services more intensively, visited emergency rooms more often, and were hospitalized more frequently and for longer periods of time. A negative binomial distribution and a variant thereof were found to be the best models to describe health service utilization data. In conclusion, functionality should be considered as an important health indicator for tailoring the provision of health services for older adults.

The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records

Purpose

Frailty is a prevalent condition in older adults. Identification of frailty using an electronic Frailty Index (eFI) has been successfully implemented across general practices in the United Kingdom. However, in Australia, the eFI remains understudied. Therefore, we aimed to (i) examine the feasibility of deriving an eFI from Australian general practice records and (ii) describe the prevalence of frailty as measured by the eFI and the prevalence with socioeconomic status and geographic remoteness.

Participants and Methods

This retrospective analysis included patients (≥70 years) attending any one of >700 general practices utilizing the Australian MedicineInsight data platform, 2017–2018. A 36-item eFI was derived using standard methodology, with frailty classified as mild (scores 0.13–0.24); moderate (0.25–0.36) or severe (≥0.37). Socioeconomic status (Socio-Economic Indexes for Areas (SEIFA) index)) and geographic remoteness (Australian Statistical Geography Standard (ASGC) remoteness areas) were also examined.

Results

In total, 79,251 patients (56% female) were included, mean age 80.0 years (SD 6.5); 37.4% (95% CI 37.0–37.7) were mildly frail, 16.7% (95% CI 16.4–16.9) moderately frail, 4.8% (95% CI 4.7–5.0) severely frail. Median eFI score was 0.14 (IQR 0.08 to 0.22); maximum eFI score was 0.69. Across all age groups, moderate and severe frailty was significantly more prevalent in females (P < 0.001). Frailty severity increased with increasing age (P < 0.001) and was strongly associated with socioeconomic disadvantage (P < 0.001) but not with geographic remoteness.

Conclusion

Frailty was identifiable from routinely collected general practice data. Frailty was more prevalent in socioeconomically disadvantaged groups, women and older patients and existed in all levels of remoteness. Routine implementation of an eFI could inform interventions to prevent or reduce frailty in all older adults, regardless of location.

Assessing the mortality risk in older patients hospitalized with a diagnosis of sepsis: the role of frailty and acute organ dysfunction

BACKGROUND

A prognostic stratification of mortality risk in older patients with sepsis admitted to medical wards is often challenging.

AIMS

To evaluate the ability of the Sequential Organ Failure Assessment (SOFA) score, serum biomarkers (lactate and C-Reactive Protein, CRP), and measures of comorbidity and frailty in predicting in-hospital and 6-month mortality in a cohort of older patients admitted to an Acute Geriatric Unit (AGU) with a diagnosis of sepsis.

METHODS

All patients aged 70 years and over consecutively admitted to our AGU with sepsis in the study period were included. At admission, a Comprehensive Geriatric Assessment including two measures of frailty (Clinical Frailty Scale [CFS], Frailty Index [FI]) was obtained. To assess the predictivity of candidate prognostic markers, the Area Under the Receiver-Operating Characteristic (AUROC) curves were analyzed. A multivariate logistic regression analysis was also performed.

RESULTS

We included 240 patients (median age = 85, IQR = 80-89, 40.8% women), of whom 33.8% died before discharge, and 60.4% at 6 months. The SOFA score (AUROC = 0.678, 95% CI 0.610-0.747) and CRP serum levels (AUROC = 0.606, 95% CI 0.532-0.680) were good predictors of in-hospital mortality. The CFS (AUROC = 0.703, 95% CI 0.637-0.768) and the FI (AUROC = 0.677, 95% CI 0.607-0.746) better predicted 6-month mortality. Results of the regression analysis confirmed the findings of the AUROC study. The combined assessment of SOFA and measures of frailty improved the performance of the model both in the short and the long term.

CONCLUSIONS

Both the severity of organ dysfunction and frailty scores should be addressed on AGU admission to establish the short- and long-term outcomes of older patients with sepsis.

Social care costs for community-dwelling older people living with frailty

International evidence indicates that older people with frailty are more likely to access social care services, compared to nonfrail older people. There is, however, no robust evidence on costs of social care provided for community-dwelling older people living with frailty in their own homes. The main objective of this study was to examine the relationship between community-dwelling older people living with frailty, defined using the cumulative deficit model, and annual formal social care costs for the 2012-2018 period. A secondary objective was to estimate formal social care spending for every 1% reduction in the number of older people who develop frailty over 1 year. Secondary analysis of prospective cohort data from two large nationally representative community-based cohort studies in England was performed. Respondents aged ≥75 were used in the main analysis and respondents aged 65-74 in sensitivity testing. We used regression tree modelling for formal social care cost analysis including frailty, age, gender, age at completing education and living with partner as key covariates. We employed a minimum node size stopping criteria to limit tree complexity and overfitting and applied 'bootstrap aggregating' to improve robustness. We assessed the impact of an intervention for every 1% decrease in the number of individuals who become frail over 1 year in England. Results show that frailty is the strongest predictor of formal social care costs. Mean social care costs for people who are not frail are £321, compared with £2,895 for individuals with frailty. For every 1% of nonfrail people not transitioning to frailty savings of £4.4 million in annual expenditures on formal social care in England are expected, not including expenditure on care homes. Given considerably higher costs for individuals classed as frail compared to nonfrail, a successful intervention avoiding or postponing the onset of frailty has the potential to considerably reduce social care costs.

The utilization of primary healthcare services among frail older adults - findings from the Helsinki Birth Cohort Study

BACKGROUND

The impact of frailty on primary healthcare service use, especially general practice office visits and remote contacts, is currently unknown. Further, little is known about the association of frailty with physiotherapy contacts.

METHODS

We examined the utilization of primary healthcare services among 1064 participants from the Helsinki Birth Cohort Study between the years 2013 and 2017. Frailty was assessed based on Fried's frailty criteria at mean age of 71.0 (2.7 SD) years in clinical examinations between the years 2011 and 2013. General practice office visits and remote contacts, the total number of general practice contacts, physiotherapy contacts, and the total number of primary healthcare contacts were extracted from a national Finnish register. We analyzed the data with negative binomial regression models.

RESULTS

Of the 1064 participants, 37 were frail (3.5%) and 427 pre-frail (40.1%); 600 non-frail (56.4%) served as a reference group. Frailty was associated with general practice office visits (IRR 1.31, 95% CI=1.01-1.69), physiotherapy contacts (IRR 2.97, 95% CI=1.49-5.91) and the total number of primary healthcare contacts (IRR 1.41, 95% CI=1.07-1.85). Pre-frailty predicted the use of general practice remote contacts (IRR 1.39, 95% CI=1.22-1.57) and the total number of general practice contacts (IRR 1.25, 95% CI=1.12-1.40).

CONCLUSIONS

Frailty increases the overall primary healthcare service use whereas pre-frailty is associated with the use of general practice services, especially remote contacts. Primary healthcare needs measures to adapt healthcare services based on the needs of rapidly increasing number of pre-frail and frail older adults and should consider preventative interventions against frailty.

The utilization of specialized healthcare services among frail older adults in the Helsinki Birth Cohort Study

BACKGROUND

The association between frailty and specialized healthcare utilization is not well studied. We, therefore, examined the utilization of specialized healthcare services among frail Finnish older adults.

METHODS

A sub-sample of 1060 participants of the Helsinki Birth Cohort Study were followed prospectively for specialized healthcare utilization from nationwide registers between the years 2013 and 2017. The participants' frailty status was assessed according to Fried's criteria at a mean age of 71.0 (2.7 SD) years between the years 2011 and 2013. A negative binomial regression model was used to examine the association between frailty and the total number of visits, emergency visits, outpatient appointments separating the first outpatient appointments and the follow-up appointments, inpatient care including elective and non-elective hospital admissions and the total number of hospital days. We also calculated average length of stay (ALOS) and used the Kruskal-Wallis test to examine the differences between the groups.

RESULTS

After adjusting for covariates, frailty was significantly associated with the number of specialized healthcare visits (IRR 1.50, 95% CI = 1.04-2.15) and all subgroups of visits apart from follow-up outpatient appointments. Frailty was particularly strongly associated with the number of hospital days (IRR 5.24, 95% CI = 2.35-11.7) and notably with emergency visits (IRR = 2.26, 95% CI = 1.45-3.51) and hospital admissions (IRR 2.23, 95% CI = 1.39-3.56). Frail older adults had also higher ALOS compared to non-frail participants (p = .009).

CONCLUSIONS

Frailty increases the use of most specialized healthcare services. Preventative interventions against frailty are needed to decrease the burden on specialized healthcare systems.KEY MESSAGEFrailty is associated with the utilization of most specialized healthcare services, the most expensive part of the healthcare in most high-income countries.The association of frailty with inpatient care is particularly strong.Preventative interventions against frailty are needed to decrease the burden on specialized healthcare systems.

Association of frailty with health service utilisation and health care expenditure in sub-Saharan Africa: evidence from Côte d'Ivoire

Background

Frailty, a syndrome resulting in heightened risk of negative outcomes for older adults, is increasing across the globe. However, little is known about the health service impacts of frailty in low-income countries (LICs), and in particular, sub-Saharan Africa (SSA). This study explores the relationship between frailty and health service 1) utilisation and 2) expenditure within Côte d’Ivoire.

Methods

Participants aged 50 years and over participated in the Living Condition, Health and Resilience among the Elderly study. Frailty was assessed using a 30-item Frailty Index (FI). The association between frailty and self-reported health service utilisation was analysed for general practitioners (GPs), specialists, overnight hospitalisations, traditional practitioners and self-medication. Expenditure over the previous month included consulting, medications, hospitalisations and total expenditure.

Results

Among participants [n = 860, mean age (SD) = 61.8 (9.7) years, 42.9% female], 60.0% were frail, 22.8% pre-frail and 17.2% robust. The mean (SD) FI was 0.28 (0.17). Increased health service utilisation was associated with frailty for GP attendance, traditional practitioners and self-medication but not specialists or overnight hospitalisation. Pre-frailty and frailty were associated with increased total health service expenditure, with frailty also associated with aggregate consulting costs and medications.

Conclusions

Although frailty is associated with health service utilisation and expenditure in a variety of contexts, the study results suggest that such impacts may vary across the globe. The experience of frailty in LICs is likely to differ from that experienced elsewhere due to cultural traditions, attitudes to the health system, and accessibility, with more research needed.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-021-02377-6.

Frailty screening among older adults receiving home care packages: a study of feasibility and prevalence

Home care packages (HCPs) aim to support older people to remain in their homes for as long as possible. Early detection and management of frailty in community-dwelling older people may prevent or delay transfer to residential aged care. This suggests that it is important to establish mechanisms for identifying frailty among older adults. This study examined the feasibility of obtaining self-reported level of frailty from a sample of older adults receiving HCPs from an Australian aged care provider. The prevalence of frailty and sociodemographic and clinical correlates were assessed. Customers aged ≥65 years receiving an HCP from an aged care and disability service provider in New South Wales (n=158; 53.5% consent rate) completed a survey during their scheduled visit. The mean (±s.d.) total score on the Edmonton Frail Scale was 7.3±2.4 (range 1-13). The prevalence of frailty was 45% (5% 'severe frailty', 14% 'moderate frailty', 26% 'mild frailty'). Clients who had fallen in the past year had, on average, a 1.0-point higher frailty score (95% confidence interval 0.16-1.90) than those who had not. Given the high proportion of adults in our sample who were identified as frail, regular standardised assessments of frailty may assist community aged care providers to provide early intervention to reduce the risk of falls within this group of clients.

A Comprehensive Overview of Activities of Daily Living in Existing Frailty Instruments: A Systematic Literature Search

BACKGROUND AND OBJECTIVES

The relationship between frailty and disability in activities of daily living (ADLs) can be seen in different ways, with disability being-to varying degrees-a characteristic, negative outcome, or predictor of frailty. This conflation of definitions is partly a result of the different frailty tools used in research. Aiming to provide a comprehensive overview, this systematic literature search analyzed (i) if, (ii) to what extent, and (iii) how ADLs are evaluated by frailty instruments.

RESEARCH DESIGN AND METHODS

A search was performed in PubMed, Web of Knowledge, and PsycINFO to identify all frailty instruments, followed by categorization of the ADL items into basic (b-), instrumental (i-), and advanced (a-) ADLs.

RESULTS

In total, 192 articles described 217 frailty instruments, from which 52.1% contained ADL items: 45.2% b-ADLs, 35.0% i-ADLs, and 10.1% a-ADLs. The most commonly included ADL items were bathing (b-ADLs); using transportation (i-ADLs); and semiprofessional work engagement in organized social life or leisure activities (a-ADLs). These instruments all had a multidomain origin (χ 2 = 122.4, p < .001).

DISCUSSION AND IMPLICATIONS

Because 52.1% of all instruments included ADL items, the concepts of frailty and disability appear to be highly entangled. This might lead to circular reasoning, serious concerns regarding contamination, and invalid research results.

Frailty status changes are associated with healthcare utilization and subsequent mortality in the elderly population

BACKGROUND

This study determined (1) whether a change in frailty status after a 1 year follow up is associated with healthcare utilization and evaluated (2) whether a change in frailty status after a 1 year follow up and health care utilization are associated with all-cause mortality in a sample of Taiwan population.

METHODS

This work is a population-based prospective cohort study involving residents aged ≥65 years in 2009. A total of 548 elderly patients who received follow-ups in the subsequent year were included in the current data analysis. Fried frailty phenotype was measured at baseline and 1 year. Information on the outpatient visits of each specialty doctor, emergency care utilization, and hospital admission during the 2 month period before the second interview was collected through standardized questionnaires administered by an interviewer. Deaths were verified by indexing to the national database of deaths.

RESULTS

At the subsequent 1 year follow-up, 73 (13.3%), 356 (64.9%), and 119 (21.7%) elderly participants exhibited deterioration, no change in status, and improvement in frailty states, respectively. Multivariate logistic analysis showed the high risk of any type of outpatient use (odds ratios [OR] 1.94, 95% confidence interval [CI] 1.02-3.71) among older adults with worse frailty status compared with those who were robust at baseline and had unchanged frailty status after 1 year. After multivariate adjustment, participants with high outpatient clinic utilization had significantly higher mortality than those with low outpatient clinic visits among unchanged pre-frail or frail (hazard ratios [HR] 2.79, 95% CI: 1.46-5.33) and frail to pre-frail/robust group (HR 9.32, 95% CI: 3.82-22.73) if the unchanged robustness and low outpatient clinic visits group was used as the reference group.

CONCLUSIONS

The conditions associated with frailty status, either after 1 year or at baseline, significantly affected the outpatient visits and may have increased medical expenditures. Combined change in frailty status and number of outpatient visits is related to increased mortality.

Frailty Predicts Increased Health Care Utilization Among Community-Dwelling Older Adults: A Longitudinal Study in China

OBJECTIVES

Frailty, a multidimensional syndrome characterized by vulnerability to stressors, is an emerging public health priority with high prevalence in older adults. Frailty has been identified to predictive negative health outcomes, yet quantified evidence regarding its effect on health care systems is scarce. This study examines how frailty affects health care utilization, and explores whether these associations varied by gender.

DESIGN

Cohort study with a 2-year follow-up.

SETTING

and Participants: Data were derived from 2 waves (2011 and 2013) of the China Health and Retirement Longitudinal Study, and 3119 community-dwelling participants aged ≥60 years were analyzed.

METHODS

Frailty was assessed by a validated frailty phenotype scale, and measures for health care utilization were self-reported. Panel data approach of mixed-effects regression models was used to examine the associations.

RESULTS

Longitudinal results demonstrated that compared with robustness, prefrailty and frailty were both significantly associated with increased likelihood of outpatient visit, inpatient visit, and inpatient length of stay, even after adjusting for multimorbidity in multivariate analyses (all P < .05). Every 1-component increase in frailty was also found to significantly increase the risk for health care utilization [any outpatient visit: adjusted odds ratio (OR) 1.30, 95% confidence interval (CI) 1.14-1.48; number of outpatient visits: adjusted incident rate ratio (IRR) 1.34, 95% CI 1.18-1.53; any inpatient visit: adjusted OR 1.44, 95% CI 1.22-1.71; number of inpatient visits: adjusted IRR 1.40, 95% CI 1.20-1.62; inpatient length of stay: adjusted IRR 1.50, 95% CI 1.18-1.92]. The preceding associations were similarly observed irrespective of gender.

CONCLUSIONS AND IMPLICATIONS

Frailty is a significant predictor for increased health care utilization among community-dwelling older adults. These findings have important implications for routine clinical practice and public health investment. Early screening and intervention for potentially modifiable frailty could translate into considerable savings for households and health care systems.

Whole Blood Metabolomics in Aging Research

Diversity is observed in the wave of global aging because it is a complex biological process exhibiting individual variability. To assess aging physiologically, markers for biological aging are required in addition to the calendar age. From a metabolic perspective, the aging hypothesis includes the mitochondrial hypothesis and the calorie restriction (CR) hypothesis. In experimental models, several compounds or metabolites exert similar lifespan-extending effects, like CR. However, little is known about whether these metabolic modulations are applicable to human longevity, as human aging is greatly affected by a variety of factors, including lifestyle, genetic or epigenetic factors, exposure to stress, diet, and social environment. A comprehensive analysis of the human blood metabolome captures complex changes with individual differences. Moreover, a non-targeted analysis of the whole blood metabolome discloses unexpected aspects of human biology. By using such approaches, markers for aging or aging-relevant conditions were identified. This information should prove valuable for future diagnosis or clinical interventions in diseases relevant to aging.

Frailty and hospital outcomes within a low socioeconomic population

BACKGROUND

Clinical frailty scales (CFS) predict hospital-related outcomes. Frailty is more common in areas of higher socioeconomic disadvantage, but no studies exclusively report on the impact of CFS on hospital-related outcomes in areas of known socioeconomic disadvantage.

AIMS

To evaluate the association of the CFS with hospital-related outcomes.

DESIGN

Retrospective observational study in a community hospital within a disadvantaged area in Australia (Social Economic Index for Areas = 0.1%).

METHODS

The CFS was used in the emergency department (ED) for people aged ≥ 75 years. Frailty was defined as a score of ≥4. Associations between the CFS and mortality, admission rates, ED presentations and length of stay (LOS) were analysed using regression analyses.

RESULTS

Between 11 July 2017 and 31 March 2018, there were 5151 ED presentations involving 3258 patients aged ≥ 75 years. Frail persons were significantly more likely to be older, represent to the ED and have delirium compared with non-frail persons. CFS was independently associated with 28-day mortality, with odds of mortality increasing by 1.5 times per unit increase in CFS (95% CI: 1.3-1.7). Frail persons with CFS 4-6 were more likely to be admitted (OR: 1.2; 95% CI: 1.0-1.5), have higher geometric mean LOS (1.43; 95% CI 1.15-1.77 days) and higher rates of ED presentations (IRR: 1.12; 95% CI 1.04-1.21) compared with non-frail persons.

CONCLUSIONS

The CFS predicts community hospital-related outcomes in frail persons within a socioeconomic disadvantage area. Future intervention and allocation of resources could consider focusing on CFS 4-6 as a priority for frail persons within a community hospital setting.

An outbreak and case-control study of Salmonella Havana linked to alfalfa sprouts in South Australia, 2018

An epidemiological investigation and a retrospective case-control study were conducted into an outbreak of Salmonella Havana in alfalfa sprouts, in Adelaide, Australia. In total, 31 cases of S. Havana were notified during June and July 2018 and linked to the outbreak. Eighteen cases and 54 unmatched controls were included in a case-control study. Results from the case-control study indicated an increased risk of illness linked to the consumption of alfalfa sprouts; this was supported by trace-back, sampling and environmental investigations. This outbreak of S. Havana was caused by consumption of alfalfa sprouts from one local sprouts producer. It is unclear as to when in the production of alfalfa sprouts the contamination occurred. However, contaminated seeds and poor pest control are the most likely causes. This investigation highlights the importance of ensuring that producers take appropriate action to minimise the likelihood of contamination and to comply with legislation and standards for primary production and food safety.

The impact of frailty on healthcare resource use: a longitudinal analysis using the Clinical Practice Research Datalink in England

BACKGROUND

routine frailty identification and management is national policy in England, but there remains a lack of evidence on the impact of frailty on healthcare resource use. We evaluated the impact of frailty on the use and costs of general practice and hospital care.

METHODS

retrospective longitudinal analysis using linked routine primary care records for 95,863 patients aged 65-95 years registered with 125 UK general practices between 2003 and 2014. Baseline frailty was measured using the electronic Frailty Index (eFI) and classified in four categories (non, mild, moderate, severe). Negative binomial regressions and ordinary least squares regressions with multilevel mixed effects were applied on the use and costs of general practice and hospital care.

RESULTS

compared with non-frail status, annual general practitioner consultation incidence rate ratios (IRRs) were 1.24 (95% CI: 1.21-1.27) for mild, 1.41 (95% CI: 1.35-1.47) for moderate, and 1.52 (95% CI: 1.42-1.62) for severe frailty. For emergency hospital admissions, the respective IRRs were 1.64 (95% CI 1.60-1.68), 2.45 (95% CI 2.37-2.53) and 3.16 (95% CI: 3.00-3.33). Compared with non-frail people the IRR for inpatient days was 7.26 (95% CI 6.61-7.97) for severe frailty. Using 2013/14 reference costs, extra annual cost to the healthcare system per person was £561.05 for mild, £1,208.60 for moderate and £2,108.20 for severe frailty. This equates to a total additional cost of £5.8 billion per year across the UK.

CONCLUSIONS

increasing frailty is associated with substantial increases in healthcare costs, driven by increased hospital admissions, longer inpatient stay, and increased general practice consultations.

The operationalization of fatigue in frailty scales: a systematic review

PURPOSE

To identify the different fatigue items in existing frailty scales.

METHODS

PubMed, Web of Knowledge and PsycINFO were systematically screened for frailty scales. 133 articles were included, describing 158 frailty scales. Fatigue items were extracted and categorized in 4 fatigue constructs: "mood state related tiredness", "general feeling of tiredness", "activity based feeling of tiredness" and "resistance to physical tiredness".

RESULTS

120 fatigue items were identified, of which 100 belonged to the construct "general feeling of tiredness" and only 9 to the construct "resistance to physical tiredness". 49,4% of the frailty scales included at least 1 fatigue item, representing 15 ± 9,3% of all items in these scales. Fatigue items have a significantly higher weight in single domain (dominantly physical frailty scales) versus multi domain frailty scales (21 ± 3.2 versus 10.6 ± 9.8%, p=<0,05).

CONCLUSION

Fatigue is prominently represented in frailty scales, covering a great diversity in fatigue constructs and underlying pathophysiological mechanisms by which fatigue relates to frailty. Although fatigue items were more prevalent and had a higher weight in physical frailty scales, the operationalization of fatigue leaned more towards psychological constructs. This review can be used as a reference for choosing a suitable frailty scale depending on the type of fatigue of interest.

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

BACKGROUND AND OBJECTIVES

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

RESEARCH DESIGN AND METHODS

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

RESULTS

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

DISCUSSION AND IMPLICATIONS

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

Relationship between Perceived Indoor Temperature and Self-Reported Risk for Frailty among Community-Dwelling Older People

This study investigated the relationship between perceived indoor temperature in winter and frailty among community-dwelling older people. This cross-sectional study included 342 people 65 years and older in Japan. Participants answered questions about demographics, frailty, housing, and perceived indoor temperature in winter. Participants were grouped based on perceived indoor temperature (Cold or Warm) and economic satisfaction (Unsatisfied or Satisfied). Differences in the frailty index between perceived indoor temperature groups and economic satisfaction groups were tested by using ANCOVA and MANCOVA. An interaction effect showed that people in the Cold Group and unsatisfied with their economic status had significantly higher frailty index scores (F(1, 336) = 5.95, p = 0.015). Furthermore, the frailty index subscale of fall risk was the specific indicator of frailty that accounted for this significant relationship. While previous research has shown the risks related to cold indoor temperature in homes, interestingly among those who reported cold homes, only those who were not satisfied with their economic situation reported being at increased risk for frailty. This highlights the potential importance of preventing fuel poverty to prevent frailty.

Physical Frailty: ICFSR International Clinical Practice Guidelines for Identification and Management

OBJECTIVE

The task force of the International Conference of Frailty and Sarcopenia Research (ICFSR) developed these clinical practice guidelines to overview the current evidence-base and to provide recommendations for the identification and management of frailty in older adults.

METHODS

These recommendations were formed using the GRADE approach, which ranked the strength and certainty (quality) of the supporting evidence behind each recommendation. Where the evidence-base was limited or of low quality, Consensus Based Recommendations (CBRs) were formulated. The recommendations focus on the clinical and practical aspects of care for older people with frailty, and promote person-centred care. Recommendations for Screening and Assessment: The task force recommends that health practitioners case identify/screen all older adults for frailty using a validated instrument suitable for the specific setting or context (strong recommendation). Ideally, the screening instrument should exclude disability as part of the screening process. For individuals screened as positive for frailty, a more comprehensive clinical assessment should be performed to identify signs and underlying mechanisms of frailty (strong recommendation). Recommendations for Management: A comprehensive care plan for frailty should address polypharmacy (whether rational or nonrational), the management of sarcopenia, the treatable causes of weight loss, and the causes of exhaustion (depression, anaemia, hypotension, hypothyroidism, and B12 deficiency) (strong recommendation). All persons with frailty should receive social support as needed to address unmet needs and encourage adherence to a comprehensive care plan (strong recommendation). First-line therapy for the management of frailty should include a multi-component physical activity programme with a resistance-based training component (strong recommendation). Protein/caloric supplementation is recommended when weight loss or undernutrition are present (conditional recommendation). No recommendation was given for systematic additional therapies such as cognitive therapy, problem-solving therapy, vitamin D supplementation, and hormone-based treatment. Pharmacological treatment as presently available is not recommended therapy for the treatment of frailty.

Both pre-frailty and frailty increase healthcare utilization and adverse health outcomes in patients with type 2 diabetes mellitus

Background

Diabetes mellitus (DM) correlates with accelerated aging and earlier appearance of geriatric phenotypes, including frailty. However, whether pre-frailty or frailty predicts greater healthcare utilization in diabetes patients is unclear.

Methods

From the Longitudinal Cohort of Diabetes Patients in Taiwan (n = 840,000) between 2004 and 2010, we identified 560,795 patients with incident type 2 DM, categorized into patients without frailty, or with 1, 2 (pre-frail) and ≥ 3 frailty components, based on FRAIL scale (Fatigue, Resistance, Ambulation, Illness, and body weight Loss). We examined their long-term mortality, cardiovascular risk, all-cause hospitalization, and intensive care unit (ICU) admission.

Results

Among all participants (56.4 ± 13.8 year-old, 46.1% female, and 84.8% community-dwelling), 77.8% (n = 436,521), 19.2% (n = 107,757), 2.7% (n = 15,101), and 0.3% (n = 1416) patients did not have or had 1, 2 (pre-frail), and ≥ 3 frailty components (frail), respectively, with Fatigue and Illness being the most common components. After 3.14 years of follow-up, 7.8% patients died, whereas 36.6% and 9.1% experienced hospitalization and ICU stay, respectively. Cox proportional hazard modeling discovered that patients with 1, 2 (pre-frail), and ≥ 3 frailty components (frail) had an increased risk of mortality (for 1, 2, and ≥ 3 components, hazard ratio [HR] 1.05, 1.13, and 1.25; 95% confidence interval [CI] 1.02–1.07, 1.08–1.17, and 1.15–1.36, respectively), cardiovascular events (HR 1.05, 1.15, and 1.13; 95% CI 1.02–1.07, 1.1–1.2, and 1.01–1.25, respectively), hospitalization (HR 1.06, 1.16, and 1.25; 95% CI 1.05–1.07, 1.14–1.19, and 1.18–1.33, respectively), and ICU admission (HR 1.05, 1.13, and 1.17; 95% CI 1.03–1.07, 1.08–1.14, and 1.06–1.28, respectively) compared to non-frail ones. Approximately 6–7% risk elevation in mortality and healthcare utilization was noted for every frailty component increase.

Conclusion

Pre-frailty and frailty increased the risk of mortality and cardiovascular events, and entailed greater healthcare utilization in patients with type 2 DM.

Electronic supplementary material

The online version of this article (10.1186/s12933-018-0772-2) contains supplementary material, which is available to authorized users.

Using Geographical Convergence of Obesity, Cardiovascular Disease, and Type 2 Diabetes at the Neighborhood Level to Inform Policy and Practice

INTRODUCTION

Chronic diseases are increasing across the world. Examination of local geographic variation in chronic disease patterns can enable policy makers to identify inequalities in health outcomes and tailor effective interventions to communities at higher risk. Our study aimed to determine the geographic variation of obesity, cardiovascular disease (CVD), and type 2 diabetes, using general practice clinical data. Further objectives included identifying regions of significantly high and low clusters of these conditions and assessing their association with sociodemographic characteristics.

METHODS

A cross-sectional approach was used to determine the prevalence of obesity, CVD, and type 2 diabetes in western Adelaide, Australia. The Getis-Ord Gi* method was used to identify significant hot spots of the conditions. Additionally, we used the Pearson correlation test to determine the association between disease clusters and risk factors, including socioeconomic status (SES), smoking history, and alcohol consumption.

RESULTS

The spatial distribution of obesity, CVD, and type 2 diabetes varied across communities. Hot spots of these conditions converged in 3 locations across western Adelaide. An inverse relationship was observed between area-level prevalence of CVD, obesity, and type 2 diabetes with SES.

CONCLUSION

Identification of significant disease clusters can help policy makers to target prevention strategies at the right people, in the right location. The approach taken in our study can be applied to identify clusters of other chronic diseases across the world, wherever researchers have access to clinical data.

Local descriptive body weight and dietary norms, food availability, and 10-year change in glycosylated haemoglobin in an Australian population-based biomedical cohort

BACKGROUND

Individual-level health outcomes are shaped by environmental risk conditions. Norms figure prominently in socio-behavioural theories yet spatial variations in health-related norms have rarely been investigated as environmental risk conditions. This study assessed: 1) the contributions of local descriptive norms for overweight/obesity and dietary behaviour to 10-year change in glycosylated haemoglobin (HbA1c), accounting for food resource availability; and 2) whether associations between local descriptive norms and HbA1c were moderated by food resource availability.

METHODS

HbA1c, representing cardiometabolic risk, was measured three times over 10 years for a population-based biomedical cohort of adults in Adelaide, South Australia. Residential environmental exposures were defined using 1600 m participant-centred road-network buffers. Local descriptive norms for overweight/obesity and insufficient fruit intake (proportion of residents with BMI ≥ 25 kg/m2 [n = 1890] or fruit intake of <2 serves/day [n = 1945], respectively) were aggregated from responses to a separate geocoded population survey. Fast-food and healthful food resource availability (counts) were extracted from a retail database. Separate sets of multilevel models included different predictors, one local descriptive norm and either fast-food or healthful food resource availability, with area-level education and individual-level covariates (age, sex, employment status, education, marital status, and smoking status). Interactions between local descriptive norms and food resource availability were tested.

RESULTS

HbA1c concentration rose over time. Local descriptive norms for overweight/obesity and insufficient fruit intake predicted greater rates of increase in HbA1c. Neither fast-food nor healthful food resource availability were associated with change in HbA1c. Greater healthful food resource availability reduced the rate of increase in HbA1c concentration attributed to the overweight/obesity norm.

CONCLUSIONS

Local descriptive health-related norms, not food resource availability, predicted 10-year change in HbA1c. Null findings for food resource availability may reflect a sufficiency or minimum threshold level of resources such that availability poses no barrier to obtaining healthful or unhealthful foods for this region. However, the influence of local descriptive norms varied according to food resource availability in effects on HbA1c. Local descriptive health-related norms have received little attention thus far but are important influences on individual cardiometabolic risk. Further research is needed to explore how local descriptive norms contribute to chronic disease risk and outcomes.