Frailty index to measure health status in people with systemic sclerosis

Prevalence of frailty and prefrailty in systemic lupus erythematosus: A systematic review and meta-analysis

OBJECTIVE

Frailty is associated with mortality in systemic lupus erythematosus (SLE), but the prevalence is unclear. The aim of this systematic review and meta-analysis was to investigate the prevalence of frailty and prefrailty in SLE patients.

METHODS

Four databases, namely PubMed, Cochrane, EMBASE, and Web of Science, were systematically searched from their inception to November 2024 to identify studies that fulfilled the predefined a priori inclusion criteria for systematic review and meta-analysis, and that specifically investigated frailty and prefrailty in patients with SLE. The quality assessment of the included studies was conducted according to the Newcastle-Ottawa scale (NOS).

RESULTS

Fifteen studies were retrieved according to the inclusion criteria, and their data were combined in the eventual review. Data from studies including 46,060 patients with SLE were included. The analysis showed that the pooled prevalence of frailty in patients with SLE was 27 % (95 % CI: 19 % - 36 %), the pooled prevalence of prefrailty was 65 % (95 % CI: 54 % - 76 %). Analysis of subgroups revealed that the prevalence of frailty was 26 % (95 % CI: 14 % to 41 %) when measured by Systemic Lupus International Collaborating Clinics-Frailty Index (SLICC-FI) and 22 % (95 % CI: 18 % to 26 %) when assessed using Fried phenotype (FP).

CONCLUSION

Both frailty and prefrailty are highly prevalent conditions among patients with SLE. There is an urgent need to better understand and address frailty in this population to enhance patient outcomes and quality of life.

Frailty indices based on routinely collected data: a scoping review

A frailty index (FI) is a frailty assessment tool calculated as the proportion of the number of health-related deficits an individual has to the total number of variables in the index. Routinely collected clinical and administrative data can be used as sources of deficits to automatically calculate FIs. This scoping review aimed to evaluate the current research landscape on routine data-based FIs. We searched seven databases to find literature published in 2013-2023. Main inclusion criteria were original research articles on FIs constructed from routine data, with deficits in at least two of the following categories: "symptoms/signs", "laboratory values", "diseases", "disabilities", and "others". From 7526 publications screened, 218 were included. Studies were primarily from North America (47.7 %), conducted in the community (35.3 %), and used routine data-based FIs for risk stratification (51.4 %). FIs were calculated using various routine data sources; however, most were initially developed and validated using hospital records. We noted geographical differences in study settings and routine data sources. We identified 611 unique deficits comprising these FIs. Most were either "diseases" (34.4 %) or "symptoms/signs" (32.1 %). Routine data-based FIs are feasible and valid risk stratification tools, but research is confined to high-income countries, their routine adoption is slow, and deficits comprising these FIs emphasise a reactive and overtly medical approach in addressing frailty. Future directions include exploring the feasibility and applicability of using routine databases for frailty assessment in lower- and middle-income countries, and leveraging non-clinical routine data through data linkages to proactively identify and manage frailty.

Frailty integration in medical specialties: Current evidence and suggested strategies from the Clin-STAR frailty interest group

Frailty is a syndrome that can inform clinical treatments and interventions for older adults. Although implementation of frailty across medical subspecialties has the potential to improve care for the aging population, its uptake has been heterogenous. While frailty assessment is highly integrated into certain medical subspecialties, other subspecialties have only recently begun to consider frailty in the context of patient care. In order to advance the field of frailty-informed care, we aim to detail what is known about frailty within the subspecialties of internal medicine. In doing so, we highlight cross-disciplinary approaches that can enhance our understanding of frailty, focusing on ways to improve the implementation of frailty measures, as well as develop potential interventional strategies to mitigate frailty within these subspecialties. This has important implications for the clinical care of the aging population and can help guide future research.

Progression and clinical implications of frailty in patients with systemic sclerosis

INTRODUCTION/OBJECTIVES

To identify the frequency, correlates and progression of frailty in systemic sclerosis (SSc).

METHOD

All Australian Scleroderma Cohort Study participants meeting ACR/EULAR criteria with a calculable FRAIL Scale score were included. FRAIL Scale scores were calculated annually and were used to group participants as 'robust', 'pre-frail' or 'frail'. Progression of frailty over time was examined by comparing first-recorded, highest-recorded and last-recorded FRAIL Scale scores for each participant. Determinants of frailty at each visit were evaluated with ordinal logistic regression. Survival was analysed using Cox hazard modelling.

RESULTS

Of 1703 participants, 14% and 53% met criteria for frailty or pre-frailty respectively, with 33% consistently robust. Among initially frail participants, 40% remained frail and 60% improved to pre-frailty/robustness. Of pre-frail participants, 15% became frail while 32% improved to robustness. One-third of initially robust participants progressed to pre-frailty/frailty. SSc-specific determinants of frailty included diffuse SSc (odds ratio (OR) 1.4, 95% confidence interval (CI) 1.1-1.8, p < 0.01), pulmonary arterial hypertension (OR 7.1, 95% CI 5.1-9.9, p < 0.01), interstitial lung disease (OR 1.6, 95% CI 1.3-2.0, p < 0.01), proximal weakness (OR 1.5, 95% CI 1.2-2.0, p < 0.01) and lower-tract gastrointestinal symptoms (OR 1.5, 95% CI 1.3-1.8, p < 0.01). Older age (OR 1.1, 95% CI 1.1-1.2, p < 0.01), raised CRP (OR 1.7, 95% CI 1.4-2.0, p < 0.01) and anaemia (OR 1.4, 95% CI 1.2-1.7, p < 0.01) were also significantly associated with frailty. A graded risk of death was observed with the diagnosis of pre-frailty and frailty states (hazard ratio (HR) 3.5, 95% CI 2.6-4.8, p < 0.01; and HR 9.8, 95% CI 6.8-14.1, p < 0.01 respectively). Frailty and pre-frailty were associated with reduced health-related quality-of-life and physical function (p < 0.05).

CONCLUSIONS

Frailty and pre-frailty are common in SSc and contribute to morbidity and mortality. Both SSc and non-SSc determinants of frailty exist. Frailty in SSc is a dynamic phenomenon with potential to deteriorate or improve over time.

Do discrepancies between subjective and objective health shift over time in later life? A markov transition model

Subjective health (SH) deteriorates less rapidly than objective health (OH) in older adults. However, scant evidence exists regarding if discrepancies between SH and OH shift in the same individuals over time. We explore whether such discrepancies change over time in a sample of older adults living in England, through a prospective, observational cohort study design. Using data from the English Longitudinal Study of Ageing, we followed a sample of 6803 older adults, aged 60+ years at baseline, over three waves of data collection (2002-2007), yielding two wave transitions. A 'health asymmetry' metric classified older adults into four categories at each wave, based on the level of agreement between their SH and OH scores ('health pessimist', 'health optimist', 'good health realist' and 'poor health realist'). First-order Markov transition and generalised logit models yielded estimated transition probabilities and odds ratios for health asymmetry transitions over time. At baseline, 36.84% of the sample were 'good health realists', 33% were 'poor health realists', 14.54% were 'health optimists', and 15.62% were 'health pessimists'. Good and poor health realists were likely to remain health realistic over time. Good health realists who did transition however, were likely to become health optimists. Subsequently, the proportion of health optimists in the sample increased over time. Health pessimists had a high probability of being lost to study attrition. In conclusion, health optimism (i.e. where SH is rated better than OH) becomes more prevalent over time, in later life. Future research should investigate if promoting positive SH appraisals among health pessimists and poor health realists can optimise health and survival outcomes.

Frailty and rheumatic diseases: evidence to date and lessons learned

Frailty represents a dynamic multisystem state of reduced physiological reserve that increases vulnerability to adverse health outcomes. Frailty occurs prematurely in adults with immune-mediated rheumatic diseases and is emerging as an important risk factor for adverse outcomes in these conditions. In this Series paper, we present a conceptual overview of frailty and its prevalence among patients with immune-mediated rheumatic diseases. We discuss putative mechanisms of frailty relevant to these diseases, tools for frailty measurement, and potential implications of frailty assessment for clinical care. We also explore the complex inter-relationship between frailty, inflammation, and disease activity in immune-mediated rheumatic diseases. As insight is gained into the epidemiology and mechanisms of frailty among patients with immune-mediated inflammatory rheumatic diseases, the possibility of targeting frailty with an intervention that could complement standard disease-modifying therapies to prevent adverse outcomes and improve health-related quality of life becomes closer to reality.

Frailty is independently associated with subclinical cardiovascular disease in patients with systemic lupus erythematosus

OBJECTIVES

Cardiovascular disease is a leading cause of mortality in systemic lupus erythematosus (SLE). Frailty has been associated with an increased cardiovascular disease risk (CVR) in the general population. We aimed to examine the association between frailty and subclinical cardiovascular disease in patients with SLE.

METHODS

In this cross-sectional study, we included all patients with SLE who underwent carotid/femoral artery ultrasound in our unit between 2016 and 2018. Clinical and laboratory data were collected at the time of ultrasound testing. Frailty was measured using the Systemic Lupus International Collaborating Clinics-Frailty Index (SLICC-FI). CVR (low, moderate, high, very high) was evaluated by the Systematic COronary Risk Evaluation (SCORE) model. Determinants of atherosclerotic plaque presence were assessed by logistic regression analyses, adjusting for potential confounders.

RESULTS

202 patients were included in the study. Atherosclerotic plaques (20.8% carotid, 17.3% femoral) were observed in 52/202 (25.7%) patients (89.1% women, mean (±SD) age 46.7±12.6). Median (IQR) SLICC-FI was 0.08 (0.04-0.10). 39 (19.3%) patients were classified as robust, 91 (45%) as relatively less fit, 59 (29.2%) as least fit and 13 (6.4%) as frail. In univariate analysis, plaque presence was significantly associated with age, disease duration, smoking, hypertension, systolic blood pressure, dyslipidaemia, SCORE, CVR class and SLICC-FI. CVR class (OR 5.16, p=0.000) and SLICC-FI (OR 1.34, p=0.03 per 0.05 point increase) remained significant in multivariate analysis after adjustment for traditional and disease-related CVR factors.

CONCLUSIONS

SLICC-FI is independently associated with plaque presence. Further studies are warranted to determine whether frailty-specific interventions can reduce CVR in patients with SLE.

Development and validation of a frailty index for use in the osteoarthritis initiative

BACKGROUND

The Osteoarthritis Initiative (OAI) evaluates the development and progression of osteoarthritis. Frailty captures the heterogeneity in aging. Use of this resource-intensive dataset to answer aging-related research questions could be enhanced by a frailty measure.

OBJECTIVE

To: (i) develop a deficit accumulation frailty index (FI) for the OAI; (ii) examine its relationship with age and compare between sexes, (iii) validate the FI versus all-cause mortality and (iv) compare this association with mortality with a modified frailty phenotype.

DESIGN

OAI cohort study.

SETTING

North America.

SUBJECTS

An FI was determined for 4,755/4,796 and 4,149/4,796 who had a valid FI and frailty phenotype.

METHODS

Fifty-nine-variables were screened for inclusion. Multivariate Cox regression evaluated the impact of FI or phenotype on all-cause mortality at follow-up (up to 146 months), controlling for age and sex.

RESULTS

Thirty-one items were included. FI scores (0.16 ± 0.09) were higher in older adults and among females (both, P < 0.001). By follow-up, 264 people had died (6.4%). Older age, being male, and greater FI were associated with a higher risk of all-cause mortality (all, P < 0.001). The model including FI was a better fit than the model including the phenotype (AIC: 4,167 vs. 4,178) and was a better predictor of all-cause mortality than the phenotype with an area under receiver operating characteristic curve: 0.652 vs. 0.581.

CONCLUSION

We developed an FI using the OAI and validated it in relation to all-cause mortality. The FI may be used to study aging on clinical, functional and structural aspects of osteoarthritis included in the OAI.

Sarcoidosis and frailty: recognizing factors that foster holistic resilience

PURPOSE OF REVIEW

Sarcoidosis is a multiorgan system disease exerting significant impact on biophysical, social, psychological and emotional well-being. Mortality and disability correlate to accessible, timely, expert care for sarcoidosis and its related complications. Across health conditions, positive healthcare interactions and interventions can rehabilitate unfavourable factors tied to concepts of 'frailty'. Here, we set out to introduce concepts related to frailty and their impact in the context of sarcoidosis.

RECENT FINDINGS

Studies examining frailty across other multiorgan and single organ-based diseases that mirror organ involvement in sarcoidosis demonstrate findings that bear relevance in sarcoidosis. Namely, factors predisposing a person to frailty are a multifactorial phenomenon which are also reflected in the lived experience of sarcoidosis; and that early diagnosis, intervention and prevention may alter a course towards more favourable health outcomes.

SUMMARY

Factors predisposing to frailty in other health conditions may also signal a risk in sarcoidosis. In turn, proactive health preservation - regardless of age - may lead to improved biopsychosocial reserve and health-related quality of life. Fortifying holistic resilience in sarcoidosis is anticipated to reduce risk of the occurrence and prolongation of health-related complications, and facilitate swifter recovery from biophysical complications as well as from psychosocial and emotional stressors.

Inflammaging and Frailty in Immune-Mediated Rheumatic Diseases: How to Address and Score the Issue

Frailty is a new concept in rheumatology that can help identify people more likely to have less favorable outcomes. Sarcopenia and inflammaging can be regarded as the biological foundations of physical frailty. Frailty is becoming more widely accepted as an indicator of ageing and is linked to an increased risk of negative outcomes such as falls, injuries, and mortality. Frailty identifies a group of older adults that seem poorer and more fragile than their age-matched counterparts, despite sharing similar comorbidities, demography, sex, and age. Several studies suggest that inflammation affects immune-mediated pathways, multimorbidity, and frailty by inhibiting growth factors, increasing catabolism, and by disrupting homeostatic signaling. Frailty is more common in the community-dwelling population as people get older, ranging from 7 to 10% in those over 65 years up to 40% in those who are octogenarians. Different parameters have been validated to identify frailty. These primarily relate to two conceptual models: Fried's physical frailty phenotype and Rockwood's cumulative deficit method. Immune-mediated rheumatic diseases (IMRDs), such as rheumatoid arthritis, spondyloarthritis, systemic lupus erythematosus, systemic sclerosis, and vasculitis, are leading causes of frailty in developing countries. The aim of this review was to quantitatively synthesize published literature on the prevalence of frailty in IMRDs and to summarize current evidence on the relevance and applicability of the most widely used frailty screening tools.

Health asymmetry as a predictor of depressive symptomatology over time among older European adults: A growth curve analysis

OBJECTIVE

Subjective (SH) and objective health (OH) measures are associated with depressive symptomatology in older adults. We explored whether the discrepancy between SH and OH (operationalised as 'health asymmetry' with four categories: 'health optimistic', 'health pessimistic' and 'good health realistic' and 'poor health realistic') may also relate to depressive symptomatology 1) cross-sectionally, and 2) longitudinally, among older European adults.

METHODS

Adults (n = 26,520), aged 50+, from 11 European countries, were assessed over six waves of data collection (2006-2020) in the SHARE study. A hierarchical multi-level growth curve model explored whether health asymmetry was associated with depressive symptomology at baseline, and with depressive symptom trajectories across time, accounting for country of origin.

RESULTS

At baseline, 11.8% of older adults were classified as health pessimistic, with 15.5% being health optimistic, 42.9% being poor health realistic and 29.8% being good health realistic. A positive linear trend in depressive symptomatology was noted across 14 years of SHARE data (β = 0.11, p < .001). Health pessimists displayed higher levels of depressive symptoms than both health realistic groups and health optimists. However, health pessimists experienced a less steep increase in depressive symptoms across time (β = -0.10, p < .001), relative to good health realists.

CONCLUSION

Health pessimists experience elevated levels of depressive symptoms, but show less growth in depressive symptomatology than expected. Further research is required to understand the underlying causes of the varying depressive symptom trajectories among these groups.

The SLICC-FI Predicts Damage Accrual in SLE Patients. Data From the Almenara Lupus Cohort

OBJECTIVE

To evaluate the Systemic Lupus International Collaborating Clinics Frailty Index (SLICC-FI) as a predictor of damage accrual in a primarily Mestizo SLE patient cohort.

METHODS

Patients from a single-center prevalent cohort were included. Damage accrual was defined as the increase in the SLICC/American College of Rheumatology (ACR) damage index (SDI) scores between the baseline and the last visits. The SLICC-FI was measured at baseline. Univariable and multivariable Cox regression models were performed to determine the association between the baseline SLICC-FI (per 0.05 increase) and the increase in the SDI, adjusted for possible confounders. Alternative analyses using negative binomial regression models including the difference between the last and the first SDI as outcome were performed.

RESULTS

Of the 265 patients included, 248 (93.6%) were female with mean (SD) age of 35.1 (13.6) years at diagnosis. At baseline, mean (SD) SLE disease duration was 7.3 (6.5) years, SDI was 1.0 (1.2) and the SLICC-FI was 0.22 (0.05). After a mean (SD) of 5.2 (2.2) years of follow-up, the SDI increased in 126 (47.5%) patients, and the final mean (SD) SDI score was 1.7 (1.7). Higher SLICC-FI scores at baseline predicted greater damage accrual in the univariable analysis [Hazard Ratio (HR) =1.38, (CI95% 1.16-1.65); p < 0.001] and in the multivariable model, after adjustment for possible confounders [HR = 1.30 (CI95% 1.02-1.66); p = 0.033].

CONCLUSION

SLICC-FI predicts the occurrence of damage accrual in a prevalent SLE Latin-American cohort with short or long disease duration, supporting the relevance of this index in the evaluation of SLE patients.

Expecting the best or fearing the worst: Discrepancies between self-rated health and frailty in an ageing Irish population

OBJECTIVES

Ageing populations have the propensity to rate their health status more inaccurately than their younger counterparts. As a result, we (1) devised a metric which categorized older adults into groups based on the discrepancy between their self-rated health (SRH) and Frailty Index (FI) scores, and (2) investigated which factors predict group membership.

DESIGN

A cross-sectional design was employed using data from The Irish Longitudinal Study of Ageing (TILDA).

METHODS

A health asymmetry metric was derived: this categorized 6907 participants (aged 50+ years) into three groups: 'health pessimistic' where participants underestimated their healthiness, 'health realistic' where participants accurately assessed their health, and 'health optimistic' where participants overestimated their healthiness. A multinomial logistic regression modelled the ability of a set of sociodemographic, psychosocial, and health behaviour variables in predicting membership of these categories.

RESULTS

A significant proportion of the study population were categorized as 'health realistic' (~69%). The prevalence rates of health optimistic individuals increased in older age groups, and conversely, health pessimistic rates decreased in older age groups. Most notably, psychosocial factors significantly predicted being health pessimistic: such as anxiety (OR = 1.03), loneliness (OR = 1.04), and decreased social connectedness (OR = 0.87). However, less clear sociodemographic, psychosocial, and health behaviour associations were found for being health optimistic.

CONCLUSION

Health asymmetry is a useful method of identifying at-risk individuals for inaccurate SRH. The ability of this metric to predict clinical mental health outcomes should be investigated.

Frailty indices based on self-report, blood-based biomarkers and examination-based data in the Canadian Longitudinal Study on Aging

BACKGROUND

Frailty can be operationalised using the deficit accumulation approach, which considers health deficits across multiple domains. We aimed to develop, validate and compare three different frailty indices (FI) constructed from self-reported health measures (FI-Self Report), blood-based biomarkers (FI-Blood) and examination-based assessments (FI-Examination).

METHODS

Up to 30,027 participants aged 45-85 years from the baseline (2011-2015) comprehensive cohort of the Canadian Longitudinal Study on Aging were included in the analyses. Following standard criteria, three FIs were created: a 48-item FI-Self Report, a 23-item FI-Blood and a 47-item FI-Examination. In addition a 118-item FI-Combined was constructed. Mortality status was ascertained in July 2019.

RESULTS

FI-Blood and FI-Examination demonstrated broader distributions than FI-Self Report. FI-Self Report and FI-Blood scores were higher in females, whereas FI-Examination scores were higher in males. All FI scores increased nonlinearly with age and were highest at lower education levels. In sex and age-adjusted models, a 0.01 increase in FI score was associated with a 1.08 [95% confidence interval (CI): 1.07,1.10], 1.05 (1.04,1.06), 1.07 (1.05,1.08) and a 1.13 (1.11,1.16) increased odds of mortality for FI-Self Report, FI-Blood, FI-Examination and FI-Combined, respectively. Inclusion of the three distinct FI types in a single model yielded the best prognostic accuracy and model fit, even compared to the FI-Combined, with all FIs remaining independently associated with mortality.

CONCLUSION

Characteristics of all FIs were largely consistent with previously established FIs. To adequately capture frailty levels and to improve our understanding of the heterogeneity of ageing, FIs should consider multiple types of deficits including self-reported, blood and examination-based measures.

Prediction of Hospitalizations in Systemic Lupus Erythematosus Using the Systemic Lupus International Collaborating Clinics Frailty Index

OBJECTIVE

The Systemic Lupus International Collaborating Clinics (SLICC) frailty index (FI) predicts mortality and damage accrual in systemic lupus erythematosus (SLE), but its association with hospitalizations has not been described. Our objective was to estimate the association of baseline SLICC-FI values with future hospitalizations in the SLICC inception cohort.

METHODS

Baseline SLICC-FI scores were calculated. The number and duration of inpatient hospitalizations during follow-up were recorded. Negative binomial regression was used to estimate the association between baseline SLICC-FI values and the rate of hospitalizations per patient-year of follow-up. Linear regression was used to estimate the association of baseline SLICC-FI scores with the proportion of follow-up time spent in the hospital. Multivariable models were adjusted for relevant baseline characteristics.

RESULTS

The 1,549 patients with SLE eligible for this analysis were mostly female (88.7%), with a mean ± SD age of 35.7 ± 13.3 years and a median disease duration of 1.2 years (interquartile range 0.9-1.5) at baseline. Mean ± SD baseline SLICC-FI was 0.17 ± 0.08. During mean ± SD follow-up of 7.2 ± 3.7 years, 614 patients (39.6%) experienced 1,570 hospitalizations. Higher baseline SLICC-FI values (per 0.05 increment) were associated with more frequent hospitalizations during follow-up, with an incidence rate ratio of 1.21 (95% confidence interval [95% CI] 1.13-1.30) after adjustment for baseline age, sex, glucocorticoid use, immunosuppressive use, ethnicity/location, SLE Disease Activity Index 2000 score, SLICC/American College of Rheumatology Damage Index score, and disease duration. Among patients with ≥1 hospitalization, higher baseline SLICC-FI values predicted a greater proportion of follow-up time spent hospitalized (relative rate 1.09 [95% CI 1.02-1.16]).

CONCLUSION

The SLICC-FI predicts future hospitalizations among incident SLE patients, further supporting the SLICC-FI as a valid health measure in SLE.

Frailty in inflammatory bowel diseases: an emerging concept

Inflammatory bowel diseases (IBD), consisting of Crohn's disease and ulcerative colitis, are chronic remitting, relapsing inflammatory conditions of the gastrointestinal tract. While traditionally a disease of younger ages, the number of older adults with IBD is rising rapidly. Patients with IBD often experience geriatric syndromes at earlier ages. Older adults with IBD have poorer disease and treatment-related outcomes compared with younger adults with IBD. Applying the principles of geriatrics to understanding a chronic disease in older adults may improve health span. Better tools are needed to stratify IBD patients who are at high risk for adverse events. Frailty is a geriatric construct that may approximate biologic age. Frailty is a complex, multi-dimensional syndrome that leads to increased vulnerability to stress and decline of reserve across multiple physiologic systems. In this review, we present the leading conceptual models of frailty and discuss the applications of frailty in immune-mediated diseases. We also review chronic conditions where frailty has been applied successfully as a tool for risk stratification. Finally, we discuss in the detail the growing body of literature highlighting the relationship between frailty and IBD, the epidemiology of frailty in IBD, and ramifications of frailty in IBD.

External Validation of the SLICC Frailty Index (SLICC-FI) as a Predictor of Adverse Health Outcomes in Systemic Lupus Erythematosus

OBJECTIVE

The Systemic Lupus International Collaborating Clinics (SLICC) frailty index (FI) was recently developed as a measure of susceptibility to adverse outcomes in systemic lupus erythematosus (SLE). We aimed to externally validate the SLICC-FI in a prevalent cohort of individuals with more longstanding SLE.

METHODS

This secondary analysis included data from a single-centre prospective cohort of adult patients with established SLE (disease duration >15 months at enrolment). The baseline visit was the first at which both SLICC/ACR Damage Index (SDI) and Short Form-36 (SF-36) data were available. Baseline SLICC-FI scores were calculated. Cox regression models estimated the association between baseline SLICC-FI values and mortality risk. Negative binomial regression models estimated the association of baseline SLICC-FI scores with the rate of change in SDI scores during follow-up.

RESULTS

The 183 eligible SLE patients were mostly female (89%) with mean (SD) age 45.2 (13.2) years and median (interquartile range) disease duration 12.4 (7.8-17.4) years at baseline. Mean (SD) baseline SLICC-FI score was 0.17 (0.09), with 54 patients (29.5%) classified as frail (SLICC-FI >0.21). Higher baseline SLICC-FI values (per 0.05 increase) were associated with increased mortality risk (Hazard Ratio 1.31; 95%CI 1.01-1.70), after adjusting for age, sex, education, SLE medication use, disease duration, smoking status, and baseline SDI. Higher baseline SLICC-FI values (per 0.05 increase) were associated with increased damage accrual over time (Incidence Rate Ratio 1.18; 95%CI 1.07-1.29), after adjusting for potential confounders.

CONCLUSION

Frailty, measured using the SLICC-FI, predicts organ damage accrual and mortality risk among individuals with established SLE.

Frailty in Rheumatic Diseases

Frailty is a syndrome characterized by the decline in the physiologic reserve and function of several systems, leading to increased vulnerability and adverse health outcomes. While common in the elderly, recent studies have underlined the higher prevalence of frailty in chronic diseases, independent of age. The pathophysiological mechanisms that contribute to frailty have not been completely understood, although significant progresses have recently been made. In this context, chronic inflammation is likely to play a pivotal role, both directly and indirectly through other systems, such as the musculoskeletal, endocrine, and neurological systems. Rheumatic diseases are characterized by chronic inflammation and accumulation of deficits during time. Therefore, studies have recently started to explore the link between frailty and rheumatic diseases, and in this review, we report what has been described so far. Frailty is dynamic and potentially reversible with 8.3%-17.9% of older adults spontaneously improving their frailty status over time. Muscle strength is likely the most significant influencing factor which could be improved with training thus pointing at the need to maintain physical activity. Not surprisingly, frailty is more prevalent in patients affected by rheumatic diseases than in healthy controls, regardless of age and is associated with high disease activity to affect the clinical outcomes, largely due to chronic inflammation. More importantly, the treatment of the underlying condition may prevent frailty. Scales to assess frailty in patients affected by rheumatic diseases have been proposed, but larger casuistries are needed to validate disease-specific indexes, which could allow more accurate prognostic estimates than demographic and disease-related variables alone. Frail patients can be more vulnerable and more difficult to treat, due to the risk of side effects, therefore frailty should be taken into account in clinical decisions. Clinical trials addressing frailty could identify patients who are less likely to tolerate potentially toxic medications and might benefit from more conservative regimens. In conclusion, the implementation of the concept of frailty in rheumatology will allow a better understanding of the patient global health, a finest risk stratification and a more individualized management strategy.

Frailty in People Living with HIV

PURPOSE OF REVIEW

Different factors contribute to the decreased overall long-term survival in treated people living with HIV (PLWH). This paper will review the state of physical frailty which limits successful aging in PLWH.

RECENT FINDINGS

Identifiable events on the continuum from clinical normality to heightened risk of adverse health outcomes contribute to frailty. These center on chronic inflammation leading to destabilization of autoregulated physiologic systems challenged by environmental and biologic challenges. Frailty assessment can inform the profile of aging PLWH at increased risk of common age-related disorders and geriatric syndromes. Biologic and psychosocial risk factors promoting progression to and reversion from a dynamic state of frailty are being investigated, allowing for preventative interventions to be considered. Insights gained from studying frail PLWH will help adapt an interdisciplinary geriatric model of health care for selected PLWH. This will improve the health and well-being of aging PLWH.

Frailty in Patients With Mild Autonomous Cortisol Secretion is Higher Than in Patients with Nonfunctioning Adrenal Tumors

CONTEXT

Mild autonomous cortisol secretion (MACS) affects up to 50% of patients with adrenal adenomas. Frailty is a syndrome characterized by the loss of physiological reserves and an increase in vulnerability, and it serves as a marker of declining health.

OBJECTIVE

To compare frailty in patients with MACS versus patients with nonfunctioning adrenal tumors (NFAT).

DESIGN

Retrospective study, 2003-2018.

SETTING

Referral center.

PATIENTS

Patients >20 years of age with adrenal adenoma and MACS (1 mg overnight dexamethasone suppression (DST) of 1.9-5 µg/dL) and NFAT (DST <1.9 µg/dL).

MAIN OUTCOME MEASURE

Frailty index (range 0-1), calculated using a 47-variable deficit model.

RESULTS

Patients with MACS (n = 168) demonstrated a higher age-, sex-, and body mass index-adjusted prevalence of hypertension (71% vs 60%), cardiac arrhythmias (50% vs 40%), and chronic kidney disease (25% vs 17%), but a lower prevalence of asthma (5% vs 14%) than patients with NFAT (n = 275). Patients with MACS reported more symptoms of weakness (21% vs 11%), falls (7% vs 2%), and sleep difficulty (26% vs 15%) as compared with NFAT. Age-, sex- and BMI-adjusted frailty index was higher in patients with MACS vs patients with NFAT (0.17 vs 0.15; P = 0.009). Using a frailty index cutoff of 0.25, 24% of patients with MACS were frail, versus 18% of patients with NFAT (P = 0.028).

CONCLUSION

Patients with MACS exhibit a greater burden of comorbid conditions, adverse symptoms, and frailty than patients with NFAT. Future prospective studies are needed to further characterize frailty, examine its responsiveness to adrenalectomy, and assess its influence on health outcomes in patients with MACS.

Prediction of Damage Accrual in Systemic Lupus Erythematosus Using the Systemic Lupus International Collaborating Clinics Frailty Index

OBJECTIVE

The Systemic Lupus International Collaborating Clinics (SLICC) frailty index (FI) has been shown to predict mortality, but its association with other important outcomes is unknown. We examined the association of baseline SLICC FI values with damage accrual in the SLICC inception cohort.

METHODS

The baseline visit was defined as the first visit at which both organ damage (SLICC/American College of Rheumatology Damage Index [SDI]) and health-related quality of life (Short Form 36) were assessed. Baseline SLICC FI scores were calculated. Damage accrual was measured by the increase in SDI between the baseline assessment and the last study visit. Multivariable negative binomial regression was used to estimate the association between baseline SLICC FI values and the rate of increase in the SDI during follow-up, adjusting for relevant demographic and clinical characteristics.

RESULTS

The 1,549 systemic lupus erythematosus (SLE) patients eligible for this analysis were mostly female (88.7%) with a mean ± SD age of 35.7 ± 13.3 years and a median disease duration of 1.2 years (interquartile range 0.9-1.5 years) at baseline. The mean ± SD baseline SLICC FI was 0.17 ± 0.08. Over a mean ± SD follow-up of 7.2 ± 3.7 years, 653 patients (42.2%) had an increase in SDI. Higher baseline SLICC FI values (per 0.05 increase) were associated with higher rates of increase in the SDI during follow-up (incidence rate ratio [IRR] 1.19 [95% confidence interval 1.13-1.25]), after adjusting for age, sex, ethnicity/region, education, baseline SLE Disease Activity Index 2000, baseline SDI, and baseline use of glucocorticoids, antimalarials, and immunosuppressive agents.

CONCLUSION

Our findings indicate that the SLICC FI predicts damage accrual in incident SLE, which further supports the SLICC FI as a valid health measure in SLE.

Baseline characteristics and comorbidities in the CAnadian REgistry for Pulmonary Fibrosis

Background

The CAnadian REgistry for Pulmonary Fibrosis (CARE-PF) is a multi-center, prospective registry designed to study the natural history of fibrotic interstitial lung disease (ILD) in adults. The aim of this cross-sectional sub-study was to describe the baseline characteristics, risk factors, and comorbidities of patients enrolled in CARE-PF to date.

Methods

Patients completed study questionnaires and clinical measurements at enrollment and each follow-up visit. Environmental exposures were assessed by patient self-report and comorbidities by the Charlson Comorbidity Index (CCI). Baseline characteristics, exposures, and comorbidities were described for the overall study population and for incident cases, and were compared across ILD subtypes.

Results

The full cohort included 1285 patients with ILD (961 incident cases (74.8%)). Diagnoses included connective tissue disease-associated ILD (33.3%), idiopathic pulmonary fibrosis (IPF) (24.7%), unclassifiable ILD (22.3%), chronic hypersensitivity pneumonitis (HP) (7.5%), sarcoidosis (3.2%), non-IPF idiopathic interstitial pneumonias (3.0%, including idiopathic nonspecific interstitial pneumonia (NSIP) in 0.9%), and other ILDs (6.0%). Patient-reported exposures were most frequent amongst chronic HP, but common across all ILD subtypes. The CCI was ≤2 in 81% of patients, with a narrow distribution and range of values.

Conclusions

CTD-ILD, IPF, and unclassifiable ILD made up 80% of ILD diagnoses at ILD referral centers in Canada, while idiopathic NSIP was rare when adhering to recommended diagnostic criteria. CCI had a very narrow distribution across our cohort suggesting it may be a poor discriminator in assessing the impact of comorbidities on patients with ILD.

Key stakeholders' perspectives on the development of a national transfer document, for older persons, when transferring between the residential and acute care settings: A qualitative descriptive study

AIMS AND OBJECTIVES

This study has aimed to examine key stakeholders' perspectives, views and experiences regarding transfer documents, used when an older person is being transferred from a residential to an acute care setting. The objective of the study was to inform, in part, the development of an effective national transfer document.

BACKGROUND

For the effective and safe transfer of older persons from residential to acute care settings, it is important to ensure that the transfer document encapsulates relevant, current and person-centred information to ensure a smooth, quality and safe transition. Evidence highlights that, where documentation has lacked vital and relevant information, the older persons experience negative impacts during the transfer process.

DESIGN

A qualitative descriptive study was conducted, following the COREQ checklist, to establish participants' perspectives, views and experiences of using transfer documents.

METHODS

Focus group interviews (n = 8) were conducted with a convenience sample of key stakeholders (n = 68) in an Irish setting. The data were analysed using content analysis.

RESULTS

The findings have highlighted the important aspects for consideration in the development of future transfer documentation. The three broad categories, used to present the data findings, are (a) existing transfer documentation; (b) design framework; and (c) essentials of care.

CONCLUSIONS

The transfer document of the future is required to be concise, regularly reviewed and with a user-friendly colour-coded design. Essential and current information, with an emphasis on person centeredness, must be in the first page, with more detailed supporting information in the subsequent sections.

Association between frailty and the combination of physical activity level and sedentary behavior in older adults

Background

The combined association of physical activity and sedentary behavior with adverse health factors is not yet clear in the literature. A combined analysis of physical activity level and sedentary behavior may provide evidence of the interrelation between these behavioral variables and the frailty syndrome. Thus, the aim of this study was to examine the relationship between physical activity level, sedentary behavior and frailty in older adults.

Methods

In this study, we evaluated 457 older adults (age range = 60 to 96 years old) from the Longitudinal Study of the Elderly Health of Alcobaça, Bahia. The frailty condition was defined by the presence of three or more of the following criteria: unintentional weight loss, slow walking speed measured over a 4.57 m test, a reduction of manual grip strength and exhaustion. Based upon these criteria, participants were classified as non-frail or frail. Physical activity level and time spent in sedentary behavior were assessed with the International Questionnaire of Physical Activity. Descriptive statistics were used to characterize the sample. To examine the combined association of physical activity and sedentary behavior with frailty, chi-square and Poisson regression tests were used. Statistical significance was defined as p ≤ 0.05.

Results

The prevalence of frailty was 8.8% (n = 40), with higher prevalence observed with increasing age. Low physical activity level combined with excessive time spent in sedentary behavior (physical activity level < 150 min/wk. and sedentary behavior ≥540 min/day) was associated with frailty, resulting in a prevalence ratio of 2.83 (95% CI, 1.23 to 6.52).

Conclusion

Frailty is more prevalent among older adults who exhibit insufficient levels of physical activity combined with a great amount of time spent in sedentary behavior, even when adjusted for sociodemographic factors.

Evaluating the Properties of a Frailty Index and Its Association With Mortality Risk Among Patients With Systemic Lupus Erythematosus

OBJECTIVE

To evaluate the properties of a frailty index (FI), constructed using data from the Systemic Lupus International Collaborating Clinics (SLICC) inception cohort, as a novel health measure in systemic lupus erythematosus (SLE).

METHODS

For this secondary analysis, the baseline visit was defined as the first study visit at which both organ damage (SLICC/American College of Rheumatology Damage Index [SDI]) and health-related quality of life (Short-Form 36 [SF-36] scores) were assessed. The SLICC-FI was constructed using baseline data. The SLICC-FI comprises 48 health deficits, including items related to organ damage, disease activity, comorbidities, and functional status. Content, construct, and criterion validity of the SLICC-FI were assessed. Multivariable Cox regression was used to estimate the association between baseline SLICC-FI values and mortality risk, adjusting for demographic and clinical factors.

RESULTS

In the baseline data set of 1,683 patients with SLE, 89% were female, the mean ± SD age was 35.7 ± 13.4 years, and the mean ± SD disease duration was 18.8 ± 15.7 months. At baseline, the mean ± SD SLICC-FI score was 0.17 ± 0.08 (range 0-0.51). Baseline SLICC-FI values exhibited the expected measurement properties and were weakly correlated with baseline SDI scores (r = 0.26, P < 0.0001). Higher baseline SLICC-FI values (per 0.05 increment) were associated with increased mortality risk (hazard ratio 1.59, 95% confidence interval 1.35-1.87), after adjusting for age, sex, steroid use, ethnicity/region, and baseline SDI scores.

CONCLUSION

The SLICC-FI demonstrates internal validity as a health measure in SLE and might be used to predict future mortality risk. The SLICC-FI is potentially valuable for quantifying vulnerability among patients with SLE, and adds to existing prognostic scores.

Construction of a Frailty Index as a Novel Health Measure in Systemic Lupus Erythematosus

OBJECTIVE

To construct a Frailty Index (FI) as a measure of vulnerability to adverse outcomes among patients with systemic lupus erythematosus (SLE), using data from the Systemic Lupus International Collaborating Clinics (SLICC) inception cohort.

METHODS

The SLICC inception cohort consists of recently diagnosed patients with SLE followed annually with clinical and laboratory assessments. For this analysis, the baseline visit was defined as the first study visit at which sufficient information was available for construction of an FI. Following a standard procedure, variables from the SLICC database were evaluated as potential health deficits. Selected health deficits were then used to generate a SLICC-FI. The prevalence of frailty in the baseline dataset was evaluated using established cutpoints for FI values.

RESULTS

The 1683 patients with SLE (92.1% of the overall cohort) eligible for inclusion in the baseline dataset were mostly female (89%) with mean (SD) age 35.7 (13.4) years and mean (SD) disease duration 18.8 (15.7) months at baseline. Of 222 variables, 48 met criteria for inclusion in the SLICC-FI. Mean (SD) SLICC-FI was 0.17 (0.08) with a range from 0 to 0.51. At baseline, 27.1% (95% CI 25.0-29.2) of patients were classified as frail, based on SLICC-FI values > 0.21.

CONCLUSION

The SLICC inception cohort permits feasible construction of an FI for use in patients with SLE. Even in a relatively young cohort of patients with SLE, frailty was common. The SLICC-FI may be a useful tool for identifying patients with SLE who are most vulnerable to adverse outcomes, but validation of this index is required prior to its use.

Hopelessness, life dissatisfaction and boredom among older people

Identifying frail older people, and in particular, people who are psychologically frail in a community setting is difficult. This article investigates predictors of psychological frailty and constructs a short and effective pre-detection tool for highly psychologically frail older people. The Belgian Ageing Studies, a cross-sectional study (n=28.245) was used. Measures included four items of the Geriatric Depression Scale, the psychological domain of the Comprehensive Frailty Assessment Instrument. First bivariate analyses were used. Afterwards, Chi-squared automatic interaction detector (CHAID) analysis was applied to gain an insight into the hierarchical order of predictors for high psychological frailty. Findings indicate that the combination of hopelessness and life dissatisfaction predicts high psychological frailty in 68.4% of cases. Early detection of frailty offers opportunities to start early interventions, and can delay or reduce frailty. In order to detect older people who are psychologically frail, a simple two question pre-detection tool was developed. To conclude: if a patient answers 'yes' to feeling hopeless and 'no' to having life satisfaction, this predicts with great probability (68.4%) high psychological frailty.

Time Spent in Sedentary Behaviour as Discriminant Criterion for Frailty in Older Adults

This paper aims to analyse whether time spent in sedentary behaviour was a discriminant criterion for frailty in older adults. This was a cross-sectional study conducted in a sample of 457 elderly individuals aged ≥60 years. Frailty was defined as the presence of three or more of the following criteria: Unintentional weight loss, low walking speed at a 4.57 m course, reduced manual grip strength, exhaustion and insufficient physical activity level. Participants were classified into two groups: Non-frail or frail. Exposure to sedentary behaviour was assessed by the time spent sitting during a typical week, according to the adapted version of the International Physical Activity Questionnaire. Descriptive (mean, frequency) and inferential statistics (Poisson regression, Pearson’s Chi-square, Receiver Operating Characteristic Curve) were used to analyse the data, comparing them to the time-related areas exposed to sedentary behaviour by gender and the presence of fragility. The prevalence of frailty was 22.1% (n = 101). The most accurate cut-off points of sitting time for predicting frailty were >495 min/day (men) or >536 min/day (women). Time spent in sedentary behaviour can be used to indicate fragility in the elderly of both sexes.

Frailty: is thy name…..universal? Evolving challenges of managing effectively treated older people living with HIV

The increased survival of treated people living with HIV (PLWH) represents a tremendous accomplishment. However, this has not been accompanied by uniform improvements in quality of life. Many PLWH prematurely develop age-related complications and traditional geriatric syndromes, including frailty. This is a potentially reversible state of vulnerability to adverse outcomes. Its operationalization remains challenging. The most commonly used tools, the frailty phenotype and the frailty index, have their advantages and limitations, but predict similar poor outcomes. Yeoh et al. applied both metrics, and a simpler construct, the Edmonton Frail Scale, to a population of Australian PLWH. Although the prevalence of frailty was generally similar to that in other settings, distinct differences occurred between the tools. This paper adds to the literature on this serious condition in this already vulnerable population. Further research is needed before consensus is reached on how to reliably and simply diagnose frailty in PLWH.

Lung Transplantation in Patients With Systemic Sclerosis

PURPOSE OF REVIEW

The purpose of this study was to highlight recent findings on evaluation for lung transplantation and outcomes after transplantation in patients with systemic sclerosis (scleroderma).

RECENT FINDINGS

The recognition that extra-pulmonary disease manifestations can seriously compromise post-transplant outcomes has changed the way patients are screened for lung transplant candidacy. Reluctance to transplant subjects affected by scleroderma has been driven by the complexity and multisystem nature of this disease. Multiple recent reports provide convincing findings that scleroderma patients undergoing lung transplantation have similar outcomes as those with other non-rheumatologic pulmonary conditions, even when significant esophageal dysmotility is present. New evidence supports the notion that scleroderma should not be a contraindication for referral to lung transplant. Future studies are needed to improve risk stratification, to define protocols for screening and management of extra-pulmonary complications, and to optimize immunosuppression before and after transplant.

Aging, frailty and complex networks

When people age their mortality rate increases exponentially, following Gompertz's law. Even so, individuals do not die from old age. Instead, they accumulate age-related illnesses and conditions and so become increasingly vulnerable to death from various external and internal stressors. As a measure of such vulnerability, frailty can be quantified using the frailty index (FI). Larger values of the FI are strongly associated with mortality and other adverse health outcomes. This association, and the insensitivity of the FI to the particular health variables that are included in its construction, makes it a powerful, convenient, and increasingly popular integrative health measure. Still, little is known about why the FI works so well. Our group has recently developed a theoretical network model of health deficits to better understand how changes in health are captured by the FI. In our model, health-related variables are represented by the nodes of a complex network. The network has a scale-free shape or "topology": a few nodes have many connections with other nodes, whereas most nodes have few connections. These nodes can be in two states, either damaged or undamaged. Transitions between damaged and non-damaged states are governed by the stochastic environment of individual nodes. Changes in the degree of damage of connected nodes change the local environment and make further damage more likely. Our model shows how age-dependent acceleration of the FI and of mortality emerges, even without specifying an age-damage relationship or any other time-dependent parameter. We have also used our model to assess how informative individual deficits are with respect to mortality. We find that the information is larger for nodes that are well connected than for nodes that are not. The model supports the idea that aging occurs as an emergent phenomenon, and not as a result of age-specific programming. Instead, aging reflects how damage propagates through a complex network of interconnected elements.

Socioeconomic status as a moderator between frailty and mortality at old ages

Background

Despite the well-established power of frailty to predict mortality, and the known associations of socioeconomic status (SES) with mortality, it is largely unknown whether the linkage between frailty and mortality varies across different SES groups. This study aims to investigate whether SES moderates the association between frailty and mortality.

Methods

We relied on the 2008/2009 and 2011/2012 waves of the Chinese Longitudinal Healthy Longevity Survey, a nationwide sample of 13,731 adults aged 65 or older in China. Frailty was constructed using a cumulative index of 38 items (with 39 deficits) reflecting different dimensions of health; the index or the proportion of deficits ranges from 0 to 1, with greater scores indicating poorer health condition. SES was measured by a socioeconomic vulnerability index (SEVI) also from a similar cumulative approach consisting of 6 deficits; the proportion of deficits ranges from 0 to 1 with higher scores indicating lower SES. Eight Weibull hazard regression models were performed to examine how SES moderates the linkage between frailty and mortality.

Results

We found that a one percentage point increase in the frailty index was associated with an increased hazard ratio (HR) by 2.7 % (HR = 1.027, 95 % CI: 1.025–1.027); a one percentage point increase in SEVI score was associated with an increased hazard ratio by 0.6 % (HR = 1.006, 95 % CI: 1.004–1.008) controlling for demographics. When interactions between SEVI and frailty index were modeled, the increased mortality risk associated with frailty was weaker among people with lower SES than among people with higher SES (HR = 0.983, 95 % CI: 0.967–0.992). However, the moderating role of SES was diminished when interactions between SES and age and between frailty and age were modeled. With increasing age, the increased mortality risks associated with frailty and socioeconomic vulnerability weakened.

Conclusions

Frailty was a stronger predictor of mortality among individuals with higher SES than those with lower SES. The increased mortality risks associated with socioeconomic vulnerability and frailty weakened with age. Public health programs aimed at improving SES and promoting healthy longevity should start early in old age, or even earlier, and target poor and frail older adults for maximum impact.

A prospective multicenter cohort study of frailty in younger critically ill patients

Background

Frailty is a multidimensional syndrome characterized by loss of physiologic and cognitive reserve that heightens vulnerability. Frailty has been well described among elderly patients (i.e., 65 years of age or older), but few studies have evaluated frailty in nonelderly patients with critical illness. We aimed to describe the prevalence, correlates, and outcomes associated with frailty among younger critically ill patients.

Methods

We conducted a prospective cohort study of 197 consecutive critically ill patients aged 50–64.9 years admitted to intensive care units (ICUs) at six hospitals across Alberta, Canada. Frailty was defined as a score ≥5 on the Clinical Frailty Scale before hospitalization. Multivariable analyses were used to evaluate factors independently associated with frailty before ICU admission and the independent association between frailty and outcome.

Results

In the 197 patients in the study, mean (SD) age was 58.5 (4.1) years, 37 % were female, 73 % had three or more comorbid illnesses, and 28 % (n = 55; 95 % CI 22–35) were frail. Factors independently associated with frailty included not being completely independent (adjusted OR [aOR] 4.4, 95 % CI 1.8–11.1), connective tissue disease (aOR 6.0, 95 % CI 2.1–17.0), and hospitalization within the preceding year (aOR 3.3, 95 % CI 1.3–8.1). There were no significant differences between frail and nonfrail patients in reason for admission, Acute Physiology and Chronic Health Evaluation II score, preference for life support, or treatment intensity. Younger frail patients did not have significantly longer (median [interquartile range]) hospital stay (26 [9–68] days vs. 19 [10–43] days; p = 0.4), but they had greater 1-year rehospitalization rates (61 % vs. 40 %; p = 0.02) and higher 1-year mortality (33 % vs. 20 %; adjusted HR 1.8, 95 % CI 1.0–3.3; p = 0.039).

Conclusions

Prehospital frailty is common among younger critically ill patients, and in this study it was associated with higher rates of mortality at 1 year and with rehospitalization. Our data suggest that frailty should be considered in younger adults admitted to the ICU, not just in the elderly. Additional research is needed to further characterize frailty in younger critically ill patients, along with the ideal instruments for identification.

Electronic supplementary material

The online version of this article (doi:10.1186/s13054-016-1338-x) contains supplementary material, which is available to authorized users.

Screening for Frailty in Canada's Health Care System: A Time for Action

As Canada's population ages, frailty - with its increased risk of functional decline, deterioration in health status, and death - will become increasingly common. The physiology of frailty reflects its multisystem, multi-organ origins. About a quarter of Canadians over age 65 are frail, increasing to over half in those older than 85. Our health care system is organized around single-organ systems, impairing our ability to effectively treat people having multiple disorders and functional limitations. To address frailty, we must recognize when it occurs, increase awareness of its significance, develop holistic models of care, and generate better evidence for its treatment. Recognizing how frailty impacts lifespan will allow for integration of care goals into treatment options. Different settings in the Canadian health care system will require different strategies and tools to assess frailty. Given the magnitude of challenges frailty poses for the health care system as currently organized, policy changes will be essential.

Conceptual Models of Frailty: Accumulation of Deficits

Frailty was introduced to explain why people of the same age have varying degrees of risk. The deficit accumulation approach shows that as people age, they accumulate health deficits, and that more deficits confer greater risk. Frailty results because not everyone of the same age has the same number of deficits. This is readily quantified using a frailty index, which has been translated to preclinical models. The frailty index grades risk without requiring special instrumentation. It allows a central clinical challenge to be addressed, which is that with age, diseases rarely travel alone.

A frailty index predicts survival and incident multimorbidity independent of markers of HIV disease severity

OBJECTIVES

Aging with HIV is associated with multisystem vulnerability that might be well characterized by frailty. We sought to construct a frailty index based on health deficit accumulation in a large HIV clinical cohort and evaluate its validity including the ability to predict mortality and incident multimorbidity.

DESIGN AND METHODS

This is an analysis of data from the prospective Modena HIV Metabolic Clinic cohort, 2004-2014. Routine health variables were screened for potential inclusion in a frailty index. Content, construct, and criterion validity of the frailty index were assessed. Multivariable regression models were built to investigate the ability of the frailty index to predict survival and incident multimorbidity (at least two chronic disease diagnoses) after adjusting for known HIV-related and behavioral factors.

RESULTS

Two thousand, seven hundred and twenty participants (mean age 46 ± 8; 32% women) provided 9784 study visits; 37 non-HIV-related variables were included in a frailty index. The frailty index exhibited expected characteristics and met validation criteria. Predictors of survival were frailty index (0.1 increment, adjusted hazard ratio 1.63, 95% confidence interval 1.05-2.52), current CD4 cell count (0.48, 0.32-0.72), and injection drug use (2.51, 1.16-5.44). Predictors of incident multimorbidity were frailty index (adjusted incident rate ratio 1.98, 1.65-2.36), age (1.07, 1.05-1.09), female sex (0.61, 0.40-0.91), and current CD4 cell count (0.71, 0.59-0.85).

CONCLUSION

Among people aging with HIV in northern Italy, a frailty index based on deficit accumulation predicted survival and incident multimorbidity independently of HIV-related and behavioral risk factors. The frailty index holds potential value in quantifying vulnerability among people aging with HIV.

Low Energy Trauma in Older Persons: Where to Next?

The global population is increasing rapidly with older persons accounting for the greatest proportion. Associated with this rise is an increased rate of injury, including polytrauma, for which low energy falls has become the main cause. The resultant growing impact on trauma resources represents a major burden to the health system. Frailty, with its related issues of cognitive dysfunction and sarcopenia, is emerging as the unifying concept that relates both to the initial event and subsequent outcomes. Strategies to better assess and manage frailty are key to both preventing injury and improving trauma outcomes in the older population and research that links measures of frailty to trauma outcomes will be critical to informing future directions and health policy. The introduction of "Geriatric Emergency Departments" and the development of "Fracture Units" for frail older people will facilitate increased involvement of Geriatricians in trauma care and aid in the education of other health disciplines in the core principles of geriatric assessment and management. Collectively these should lead to improved care and outcomes for both survivors and those requiring end of life decisions and palliation.

Age-related frailty and its association with biological markers of ageing

BACKGROUND

The relationship between age-related frailty and the underlying processes that drive changes in health is currently unclear. Considered individually, most blood biomarkers show only weak relationships with frailty and ageing. Here, we examined whether a biomarker-based frailty index (FI-B) allowed examination of their collective effect in predicting mortality compared with individual biomarkers, a clinical deficits frailty index (FI-CD), and the Fried frailty phenotype.

METHODS

We analyzed baseline data and up to 7-year mortality in the Newcastle 85+ Study (n = 845; mean age 85.5). The FI-B combined 40 biomarkers of cellular ageing, inflammation, haematology, and immunosenescence. The Kaplan-Meier estimator was used to stratify participants into FI-B risk strata. Stability of the risk estimates for the FI-B was assessed using iterative, random subsampling of the 40 FI-B items. Predictive validity was tested using Cox proportional hazards analysis and discriminative ability by the area under receiver operating characteristic (ROC) curves.

RESULTS

The mean FI-B was 0.35 (SD, 0.08), higher than the mean FI-CD (0.22; SD, 0.12); no participant had an FI-B score <0.12. Higher values of each FI were associated with higher mortality risk. In a sex-adjusted model, each one percent increase in the FI-B increased the hazard ratio by 5.4 % (HR, 1.05; CI, 1.04-1.06). The FI-B was more powerful for mortality prediction than any individual biomarker and was robust to biomarker substitution. The ROC analysis showed moderate discriminative ability for 7-year mortality (AUC for FI-CD = 0.71 and AUC for FI-B = 0.66). No individual biomarker's AUC exceeded 0.61. The AUC for combined FI-CD/FI-B was 0.75.

CONCLUSIONS

Many biological processes are implicated in ageing. The systemic effects of these processes can be elucidated using the frailty index approach, which showed here that subclinical deficits increased the risk of death. In the future, blood biomarkers may indicate the nature of the underlying causal deficits leading to age-related frailty, thereby helping to expose targets for early preventative interventions.

Frailty in the Honolulu-Asia Aging Study: deficit accumulation in a male cohort followed to 90% mortality

BACKGROUND

A frailty index (FI) based on the accumulation of deficits typically has a submaximal limit at about 0.70. The objectives of this study were to examine how population characteristics of the FI change in the Honolulu-Asia Aging Study cohort, which has been followed to near-complete mortality. In particular, we were interested to see if the limit was exceeded.

METHODS

Secondary analysis of six waves of the Honolulu-Asia Aging Study. Men (n = 3,801) aged 71-93 years at baseline (1991) were followed until death (N = 3,455; 90.9%) or July 2012. FIs were calculated across six waves and the distribution at each wave was evaluated. Kaplan-Meier analyses and Cox proportional hazard models were performed to examine the relationship of frailty with mortality.

RESULTS

At each wave, frailty was nonlinearly associated with age, with acceleration in later years. The distributions of the FIs were skewed with long right tails. Despite the increasing mortality in each successive wave, the 99% submaximal limit never exceeded 0.65. The risk of death increased with increasing values of the FI (eg, the hazard rate increased by 1.44 [95% CI = 1.39-1.49] with each increment in the baseline FI grouping). Depending on the wave, the median survival of people with FI more than 0.5 ranged 0.84-2.04 years.

CONCLUSIONS

Even in a study population followed to almost complete mortality, the limit to deficit accumulation did not exceed 0.65, confirming a quantifiable, maximum number of health deficits that older men can tolerate.