Impact of Frailty on Mortality and Hospitalization in Chronic Heart Failure: A Systematic Review and Meta-Analysis

Preclinical models of frailty: Focus on interventions and their translational impact: A review

The concept of frailty refers to heterogeneity in the risk of adverse outcomes for people of the same age. It is traditionally thought of as the inability of the body to maintain homeostasis. It can help explain differences between chronological and biological age and can quantify healthspan in experimental studies. Although clinical studies have developed tools to quantify frailty over the past two decades, preclinical models of frailty have only recently been introduced. This review describes the notion of frailty and outlines two commonly used clinical approaches to quantify frailty: the frailty phenotype and the frailty index. Translation of these methodologies for use in animals is introduced and studies that use these models to evaluate interventions designed to attenuate or exacerbate frailty are discussed. These include studies involving manipulation of diet, implementation of exercise regimens and tests of pharmaceutical agents to exacerbate or attenuate frailty. Together, this body of work suggests that preclinical frailty assessment tools are a valuable new resource to quantify the impact of interventions on overall health. Future studies could deploy these models to evaluate new frailty therapies, test combinations of interventions and assess interventions to enhance the ability to resist stressors in the setting of ageing.

Gender differences in the impact of frailty on 90-day hospital readmission in heart failure patients: a retrospective cohort study

AIMS

Frequent hospital readmissions after heart failure (HF) are common, however, there is limited data on the association between frailty status and hospital readmission in HF patients. This study aimed to examine the 90-day hospital readmission rates and gender differences in the impact of frailty on 90-day hospital readmission in HF patients.

METHODS AND RESULTS

We retrospectively analysed hospital discharge records of 279 patients (men = 169, women = 110) who were diagnosed with HF between January 2017 and December 2018. Frailty was assessed using the Korean version of the FRAIL scale. A logistic regression analysis was conducted to explore the factors predicting 90-day hospital readmission by gender. The prevalence of frailty and 90-day hospital readmissions were ∼54.4% and 22.7% in women, compared with 45.6% and 27.8% in men, respectively. Frail patients with HF have an increased risk of 90-day hospital readmission in both males and females. Particularly, women with frailty had a higher risk of 90-day hospital readmission [adjusted odds ratio (OR) 6.72, 95% confidence interval (CI) 1.41-32.09] than men with frailty (adjusted OR 4.40, 95% CI 1.73-11.17).

CONCLUSION

Our findings highlight that readmission within 90 days of hospitalization for HF can be predicted by patients' frailty. More importantly, we found that women with frailty have a greater risk of readmission than men with frailty. Screening for frailty should therefore be integrated into the assessment of HF patients. Tailored interventions for preventing adverse outcomes should consider gender-associated factors in HF patients with frailty.

Discrepancies between proxy estimates and patient reported, health related, quality of life: minding the gap between patient and clinician perceptions in heart failure

PURPOSE

Health related quality of life (HRQoL) is rarely routinely measured in the clinical setting. In the absence of patient reported data, clinicians rely on proxy and informal estimates to support clinical decisions. This study compares clinician estimates (proxy) with patient reported HRQoL in patients with advanced heart failure and examines factors influencing discrepancies.

METHODS

Seventy-five patients with heart failure, (22 females, 53 males) completed the EQ-5D-5L questionnaire. Thirty-nine clinicians (11 medical, 23 nursing, 5 allied health) completed the proxy version (V1) producing 194 dyads. Correlation was assessed using Spearman's rank tests, systematic bias was examined with Bland-Altman analyses. Inter-rater agreement at the domain level, was investigated using linear weighted Kappa statistics while factors influencing the IRG were explored using independent student t-tests, analysis of variance and regression.

RESULTS

There was a moderate positive correlation between clinician HRQoL estimates and patient reported utility (r = 0.38; p < .0005). Mean clinician estimates were higher than patient reported utility (0.60 vs 0.54; p = 0.008), with significant underestimation of reported problems apparent in three of the five EQ-5D-5L domains. Patient sex (female), depressed mood and frailty were all associated with an increased inter-rater gap.

CONCLUSION

Clinicians in this sample overestimated HRQoL. Factors affecting the inter-rater gap, including sex and depression, support formal HRQoL screening to enhance clinical conversations and decision making. The discrepancy also supports regulatory restriction on the use of expert opinion in the development of QALYs in health economic analysis.

Association between falls and cardiovascular diseases in the geriatric population

Objective

To determine the association of cardiovascular diseases with falls in the geriatric population.

Methods

Original, Transversal and analytical study. Elderly patients who attend the external consultation of the Geriatrics service, older than 65 years, with falls history, perform comprehensive geriatric assessment to indentify causes of falls in the period from March 2018 to June 2019. We perform measures of central tendency, chi-square test X2 for qualitative variables, we performed linear regression model.

Results

A total of 669 patients were included, the analysis shows association with frailty [OR 1.65 (95% CI 1.37-3.77), p <0.05], Heart Failure [OR 1.02, (95% CI, 0.68 - 1.54), p < 0.05 ], the logistic regression analysis with the variables (Fragility, SAH, es: DM2, AMI, Stroke, AF, postural hypotensive syncope, Hypothyroidism, Dyslipidemia, and HF) shows that the probability of falling is 57%.

Conclusion

Cardiovascular diseases have a high prevalence in the population studied and increase the risk of falls. Individually analyzed cardiovascular diseases do not show an association with the syndrome of falls in the elderly, except for frailty, which proved to be an independent factor that increases the risk of falls with an OR 1.65. When analyzing them together, the risk of falling increases up to 57%. It is necessary to correctly identify and treat cardiovascular diseases in the elderly.

The Impact of Frailty on COVID-19 Outcomes: A Systematic Review and Meta-analysis of 16 Cohort Studies

BACKGROUND

Frail patients are increasingly vulnerable to stress, which is mainly manifested by a reduced physiologic reserve in metabolic and immune systems and neuromuscular system. Several studies found a significant association of frailty with COVID-19 severity to support the evidence for the application of frailty assessment. However, there were contradictory results in other studies. Thus we conducted a systematic review and meta-analysis to synthesize the current studies to investigate impact of frailty on COVID-19 outcomes and provide evidence-based decisions in clinical practice.

OBJECTIVE

We aimed to synthesize the current studies to investigate impact of frailty on COVID-19 outcomes and provide evidence-based decisions in clinical practice.

DESIGN

A systematic review and Meta-analysis of 16 cohort studies.

PARTICIPANTS

Patients with COVID-19.

METHODS

A systematic retrieving for potential literature was conducted in several public electronic databases, including Medline(OvidSP), EMBASE, Pubmed and Chinese databases(China National Knowledge Infrastructure,Wanfang and Weipu) on August 1, 2020.The literature research was updated on October 26, 2020. Newcastle Ottawa Scale for cohort studies was used for quality assessment. RevMan (Version 5.3) and Stata 14.0 were used to synthesize the pooled effects.

RESULTS

According to the predefined inclusion and exclusion criteria, sixteen studies of 4324 patients were included in the final analysis. Frailty was significantly associated with increased risk of all-cause mortality among patients with COVID-19, with pooled adjusted odds ratios of 1.81 (95% confidence intervals:1.48,2.21, I2=87.0%, P<0.001). The result was consistent in stratified analysis to according to age, patient source, definitions of frailty, study quality, and adjustment method. Frailty was significant associated with an increased risk of COVID-19 severity, admission to intensive care unit, application of invasive mechanical ventilation, long-length stay.

CONCLUSIONS

In this meta-analysis, we found frailty was significantly associated with an increased risk of clinical adverse events (all- cause mortality, COVID-19 severity, admission to the intensive care unit, application of invasive mechanical ventilation, long-length stay). Given the epidemic of COVID-19 and shortage of medical resources, paying more attention to screening frailty would contribute to disease management and resource allocation among patients with COVID-19.

Frailty Among Older Decompensated Heart Failure Patients: Prevalence, Association With Patient-Centered Outcomes, and Efficient Detection Methods

OBJECTIVES

This study sought to assess the prevalence of frailty, its associations with physical function, quality of life (QoL), cognition, and depression and to investigate more efficient methods of detection in older patients hospitalized with acute decompensated heart failure (ADHF).

BACKGROUND

In contrast to the outpatient population with chronic HF, much less is known regarding frailty in older, hospitalized patients with ADHF.

METHODS

Older hospitalized patients (N = 202) with ADHF underwent assessment of frailty (using Fried criteria), short physical performance battery (SPPB), 6-min walk test (6-MWT) distance, quality of life (QoL using the Kansas City Cardiomyopathy Questionnaire), cognition (using the Montreal Cognition Assessment), and depression (using the Geriatric Depression Screen [GDS]). The associations of frailty with these patient-centered outcomes were assessed by using adjusted linear regression models. Novel strategies to identify frailty were examined.

RESULTS

A total of 50% of older, hospitalized patients with ADHF were frail, 48% were pre-frail, and 2% were non-frail. Female sex, burden of comorbidity, and prior HF hospitalization were significantly associated with higher likelihood of frailty. Frailty (vs. pre-frail status) was associated with a significantly worse SPPB score (5 ± 2.2 vs. 7 ± 2.4, respectively), 6-MWT distance (143 ± 79 m vs. 221 ± 99 m, respectively), QoL (35 ± 19 vs. 46 ± 21, respectively), and more depression (GDS score: 5.5 ± 3.5 vs. 4.2 ± 3.3, respectively) but similar cognition. These associations were unchanged after adjustment for age, sex, race, total comorbidities, and body mass index. Slow gait speed plus low physical activity signaled frailty status as well (C-statistic = 0.85).

CONCLUSIONS

Ninety-eight percent of older, hospitalized patients with ADHF are frail or pre-frail. Frailty (vs. pre-frail status) is associated with worse physical function, QoL, comorbidity, and depression. The simple 4-m walk test combined with self-reported physical activity may quickly and efficiently identify frailty in older patients with ADHF.

Physical functional performance and prognosis in patients with heart failure: a systematic review and meta-analysis

Background

Patients with Heart Failure (HF) show impaired functional capacities which have been related to their prognosis. Moreover, physical functional performance in functional tests has also been related to the prognosis in patients with HF. Thus, it would be useful to investigate how physical functional performance in functional tests could determine the prognosis in patients with HF, because HF is the leading cause of hospital admissions for people older than 65 years old. This systematic review and meta-analysis aims to summarise and synthesise the evidence published about the relationship between physical functional performance and prognosis in patients with HF, as well as assess the risk of bias of included studies and the level of evidence per outcome.

Methods

Major electronic databases, such as PubMed, AMED, CINAHL, EMBASE, PEDro, Web of Science, were searched from inception to March 2020 for observational longitudinal cohort studies (prospective or retrospective) examining the relationship between physical functional performance and prognosis in patients with HF.

Results

44 observational longitudinal cohort studies with a total of 22,598 patients with HF were included. 26 included studies reported a low risk of bias, and 17 included studies showed a moderate risk of bias. Patients with poor physical functional performance in the Six Minute Walking Test (6MWT), in the Short Physical Performance Battery (SPPB) and in the Gait Speed Test showed worse prognosis in terms of larger risk of hospitalisation or mortality than patients with good physical functional performance. However, there was a lack of homogeneity regarding which cut-off points should be used to stratify patients with poor physical functional performance from patients with good physical functional performance.

Conclusion

The review includes a large number of studies which show a strong relationship between physical functional performance and prognosis in patients with HF. Most of the included studies reported a low risk of bias, and GRADE criteria showed a low and a moderate level of evidence per outcome.

Association of Diagnostic Coding-Based Frailty and Outcomes in Patients With Heart Failure: A Report From the Veterans Affairs Health System

Background

The aim of this study was to determine whether frailty is associated with increased admission and mortality risk in the setting of heart failure.

Methods and Results

This retrospective cohort analysis included patients treated within the Veterans Affairs Health System who had International Classification of Diseases, Ninth Revision (ICD‐9) codes for heart failure on 2 or more dates over a 2‐year period. The clinical variables identifiable in claims data, such as demographic variables and markers of physical and cognitive dysfunction, were used to identify patients meeting the frailty phenotype. Of 388 785 extracted patients with coding of heart failure between 2015 and 2018, 163 085 patients (41.9%) with ejection fraction (EF) measurement were included in the present analysis (38.3% with reduced EF and 61.7% with preserved EF). There were 16 660 patients (10.2%) who were identified as frail (9.1% in heart failure with reduced EF and 10.9% in heart failure with preserved EF). Frail patients were older, more often depressed, and were likely to have been admitted in the previous year. One‐year all‐cause mortality rate was 9.7% and 28.1%, and admission rate was 58.1% and 79.5% for nonfrail and frail patients, respectively. Frailty was associated with mortality and admission risk compared with the nonfrail group (adjusted odds ratio [OR], 1.71; 95% CI, 1.65–1.77 for mortality; adjusted OR, 1.29; 95% CI, 1.24–1.34 for admission) independent of EF.

Conclusions

Frailty based on diagnostic coding was associated with particularly higher risk of mortality despite adjustment for known clinical variables. Our findings underscore the importance of nontraditional parameters in the prognostic assessment.

Frailty and the risk of all-cause mortality and hospitalization in chronic heart failure: a meta-analysis

To estimate the risk of all-cause mortality and hospitalization in frail patients with chronic heart failure (HF), a systematic search and meta-analysis was carried out to identify all prospective cohort studies conducted among adults with HF where frailty was quantified and related to the primary endpoints of all-cause mortality and/or hospitalization. Twenty-nine studies reporting the link between frailty and all-cause mortality in 18 757 patients were available for the meta-analysis, along with 11 studies, with 13 525 patients, reporting the association between frailty and hospitalization. Frailty was a predictor of all-cause mortality and hospitalization with summary hazard ratios (HRs) of 1.48 [95% confidence interval (CI): 1.31-1.65, P < 0.001] and 1.40 (95% CI: 1.27-1.54, P < 0.001), respectively. Summary HRs for all-cause mortality among frail inpatients undergoing ventricular assist device implantation, inpatients hospitalized for HF, and outpatients were 1.46 (95% CI: 1.18-1.73, P < 0.001), 1.58 (95% CI: 0.94-2.22, P = not significant), and 1.53 (95% CI: 1.28-1.78, P < 0.001), respectively. Summary HRs for all-cause mortality and frailty based on Fried's phenotype were 1.48 (95% CI: 1.03-1.93, P < 0.001) and 1.42 (95% CI: 1.05-1.79, P < 0.001) for inpatients and outpatients, respectively, and based on other frailty measures were 1.42 (95% CI: 1.12-1.72, P < 0.001) and 1.60 (95% CI: 1.43-1.77, P < 0.001) for inpatients and outpatients, respectively. Across clinical contexts, frailty in chronic HF is associated with an average of 48% and 40% increase in the hazard of all-cause mortality and hospitalization, respectively. The relationship between frailty and all-cause mortality is similar across clinical settings and comparing measurement using Fried's phenotype or other measures.

A research agenda for ageing in China in the 21st century (2nd edition): Focusing on basic and translational research, long-term care, policy and social networks

One of the key issues facing public healthcare is the global trend of an increasingly ageing society which continues to present policy makers and caregivers with formidable healthcare and socio-economic challenges. Ageing is the primary contributor to a broad spectrum of chronic disorders all associated with a lower quality of life in the elderly. In 2019, the Chinese population constituted 18 % of the world population, with 164.5 million Chinese citizens aged 65 and above (65+), and 26 million aged 80 or above (80+). China has become an ageing society, and as it continues to age it will continue to exacerbate the burden borne by current family and public healthcare systems. Major healthcare challenges involved with caring for the elderly in China include the management of chronic non-communicable diseases (CNCDs), physical frailty, neurodegenerative diseases, cardiovascular diseases, with emerging challenges such as providing sufficient dental care, combating the rising prevalence of sexually transmitted diseases among nursing home communities, providing support for increased incidences of immune diseases, and the growing necessity to provide palliative care for the elderly. At the governmental level, it is necessary to make long-term strategic plans to respond to the pressures of an ageing society, especially to establish a nationwide, affordable, annual health check system to facilitate early diagnosis and provide access to affordable treatments. China has begun work on several activities to address these issues including the recent completion of the of the Ten-year Health-Care Reform project, the implementation of the Healthy China 2030 Action Plan, and the opening of the National Clinical Research Center for Geriatric Disorders. There are also societal challenges, namely the shift from an extended family system in which the younger provide home care for their elderly family members, to the current trend in which young people are increasingly migrating towards major cities for work, increasing reliance on nursing homes to compensate, especially following the outcomes of the 'one child policy' and the 'empty-nest elderly' phenomenon. At the individual level, it is important to provide avenues for people to seek and improve their own knowledge of health and disease, to encourage them to seek medical check-ups to prevent/manage illness, and to find ways to promote modifiable health-related behaviors (social activity, exercise, healthy diets, reasonable diet supplements) to enable healthier, happier, longer, and more productive lives in the elderly. Finally, at the technological or treatment level, there is a focus on modern technologies to counteract the negative effects of ageing. Researchers are striving to produce drugs that can mimic the effects of 'exercising more, eating less', while other anti-ageing molecules from molecular gerontologists could help to improve 'healthspan' in the elderly. Machine learning, 'Big Data', and other novel technologies can also be used to monitor disease patterns at the population level and may be used to inform policy design in the future. Collectively, synergies across disciplines on policies, geriatric care, drug development, personal awareness, the use of big data, machine learning and personalized medicine will transform China into a country that enables the most for its elderly, maximizing and celebrating their longevity in the coming decades. This is the 2nd edition of the review paper (Fang EF et al., Ageing Re. Rev. 2015).

Clinical profile and 1-year clinical outcomes of super elderly patients admitted with acute heart failure

INTRODUCTION

There is scarce information about the clinical profile and prognosis of acute heart failure (AHF) at the extreme ranges of age. We aimed to evaluate the 1-year death (all-cause mortality and HF-death) and HF-rehospitalizations of patients ≥85 years admitted for AHF.

METHODS

We prospectively evaluated a cohort of 3054 patients admitted with AHF from 2007 to 2018 in a third-level center. Age was categorized per 10-year categories (<65 years; 65-74 years, 75-84 years, and ≥85 years). The risk of mortality and HF-rehospitalizations across age categories was evaluated with Cox regression analysis and Cox regression adapted for competing events as appropriate.

RESULTS

The mean age was 73.6 ± 11.2 years, 48.9% were female, and 52.8% had preserved left ventricular ejection fraction (HFpEF). A total of 414 (13.6%) patients were ≥85 years. Among this group of age, female sex and HFpEF phenotype were more frequent. At 1-year follow-up 667 all-cause deaths (22,1%), 311 HF-deaths (10.1%) and 693 HF-hospitalizations (22,7%) were recorded. After multivariable adjustment, and compared to patients <65 years, a stepwise increased risk of all-cause mortality and HF-death was found for each decade increase in age, especially for patients ≥85 years (HR=3.47; 95% CI: 2.49 - 4.84, p<0.001, HR=3.31; 95% CI: 1.95 - 5.63; p<0.001, respectively). This subgroup of patients also showed an increased risk of HF-rehospitalization (HR=1.58; 95% CI: 1.16 - 2.16, p=0.004).

CONCLUSIONS

Super elderly patients admitted with AHF showed a dramatically increased risk of 1-year death. This subset of patients also shown an increased risk of 1-year HF-readmission.

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.

The aging transplant population and immunobiology: any therapeutic implication?

PURPOSE OF REVIEW

The aim of this review is to describe the latest investigations into the immunobiology of aging and the potential impact on outcomes after mechanical circulatory support implantation and heart transplantation. This information is relevant given the growing numbers of older patients with heart failure undergoing evaluation for mechanical circulatory support device (MCSD) or heart transplantation.

RECENT FINDINGS

A host of aging-associated aspects of immune dysfunction have been described in the general population including T-cell senescence, exhaustion, and terminal dedifferentiation, as well as impaired function of innate immune cells. Another important consequence of T-cell senescence is inflammation, which is known to have a strong relationship with both heart failure and frailty in older patients. Recent data on the association between T-cell and monocyte phenotypes as well as evaluation of gene expression and adverse outcomes after MCSD suggests the potential value of immunologic assessment of MCSD and heart transplant candidates and recipients. Measurement of physical frailty represents another avenue for patient evaluation that may complement immunologic assessment. Determination of immune dysfunction and frailty prior to transplantation may have implications for choice of induction and dosing of maintenance immunosuppression.

SUMMARY

As the age of transplant and MCSD candidates and recipients continues to increase, it is important for providers to recognize the potential impact of aging-associated immune dysfunction and how it may influence candidate selection, postintervention monitoring, and adjustment of immunosuppression.

Current Understanding of the Role of Frailty in Cardiovascular Disease

The elderly population is increasing because of increasing life expectancy, and the prevalence of frailty increases with age. Frailty commonly coexists with cardiovascular diseases (CVDs), such as coronary artery disease (CAD), heart failure (HF), aortic stenosis (AS), and atrial fibrillation (AF). Frail patients who undergo revascularization for CAD have higher complication rates; those with HF have a high prevalence of poor outcomes, and those with AF are vulnerable to increased stroke incidence. Moreover, frailty and asymptomatic severe AS were independent factors for mortality. The presence of frailty can lead to poor clinical outcomes, and frailty has been identified as a risk factor for mortality. Thus, the identification of frail patients who are at higher risks of disability and adverse clinical outcomes is important. In this review, the relationship between frailty and CVD is appraised and optimal treatments for frail patients are discussed.

Low ALT Levels Associated with Poor Outcomes in 8700 Hospitalized Heart Failure Patients

Sarcopenia and frailty are causes for morbidity and mortality amongst heart failure (HF) patients. Low alanine transaminase (ALT) is a marker for these syndromes and, therefore, could serve as a biomarker for the prognostication of HF patients. We performed a retrospective analysis of all consecutive hospitalized HF patients in our institute in order to find out whether low ALT values would be a biomarker for poor outcomes. Our cohort included 11,102 patients, 35.6% categorized as heart failure with reduced ejection fraction. We excluded patients with ALT > 40 IU/L and cirrhosis. 8700 patients were followed for a median duration of 22 months and included in a univariate analysis. Patients with ALT < 10 IU/L were older (mean age 78.6 vs. 81.8, p < 0.001), had past stroke (24.6% vs. 19.6%, p < 0.001), dementia (7.7% vs. 4.6%, p < 0.001), and malignancy (13.4% vs. 10.2%, p = 0.003). Hospitalization length was longer in the low-ALT group (4 vs. 3 days, p < 0.001), and the rate of acute kidney injury during hospitalization was higher (19.1% vs. 15.6%; p = 0.006). The in-hospital mortality rate was higher in the low-ALT group (6.5% vs. 3.9%; p < 0.001). Long-term mortality was also higher (73.3% vs. 61.5%; p < 0.001). In a multivariate regression analysis, ALT < 10 IU/L had a 1.22 hazard ratio for mortality throughout the follow-up period (CI = 1.09-1.36; p < 0.001). Low ALT plasma level, a biomarker for sarcopenia and frailty, can assist clinicians in prognostic stratification of heart failure patients.

Relationship between oral health and physical frailty in patients with cardiovascular disease

BACKGROUND

Oral health is important for maintaining general health and is associated with components of physical frailty among the elderly. Oral health problems are common in hospitalized patients; however, no reports on oral health problems pertain to patients with cardiovascular diseases (CVD). The present study aimed to evaluate the association between oral health and physical frailty in these patients.

METHODS

In this retrospective cohort study, we included consecutive patients admitted for CVD to our hospital between May 2014 and December 2018. Physical frailty was assessed using the Short Physical Performance Battery (SPPB). Oral health characteristics, such as the number of remaining teeth, denture use, occlusal support, and periodontal status, were assessed.

RESULTS

In our cohort (n = 457), 111 (24.3%) patients had physical frailty. Univariate linear regression showed that the number of teeth present and the prevalence of occlusal support were significantly lower in patients with than without physical frailty. Pearson correlation indicated that the number of teeth significantly correlated with the nutritional status (r = 0.27) and SPPB score (r = 0.24), grip strength (r = 0.33), and 6-minute walking distance (r = 0.26). Multiple linear regression analysis showed that the number of teeth was independently associated with physical frailty after adjusting for confounders.

CONCLUSIONS

Oral health was closely associated with physical frailty, and nutritional status in patients with CVD; thus, it could be an important screening marker for early frailty symptoms and a predictor of future malnutrition risk.

Impact of Galectin-3 Circulating Levels on Frailty in Elderly Patients with Systolic Heart Failure

Background: Heart Failure (HF), a leading cause of morbidity and mortality, represents a relevant trigger for the development of frailty in the elderly. Inflammation has been reported to play an important role in HF and frailty pathophysiology. Galectin-3 (Gal-3), whose levels increase with aging, exerts a relevant activity in the processes of cardiac inflammation and fibrosis. The aim of the present study was to investigate the potential of Galectin-3 to serve as a biomarker of frailty in HF patients. Methods: 128 consecutive patients aged 65 and older with the diagnosis of systolic HF underwent a frailty assessment and blood sample collection for serum Gal-3 detection. A multivariable regression analysis and decision curve analysis (DCA) were used to identify significant predictors of frailty. Results: Frailty was present in 42.2% of patients. Age: Odds Ratio (OR) = 3.29; 95% Confidence Interval CI (CI) = 1.03-10.55, Cumulative Illness Rating Scale Comorbidity Index (CIRS-CI): OR = 1.85; 95% CI = 1.03-3.32, C-Reactive phase Protein (CRP) OR = 3.73; 95% CI = 1.24-11.22, N-terminal-pro-Brain Natriuretic Peptide (NT-proBNP): OR = 2.39; 95% CI = 1.21-4.72 and Gal-3: OR = 5.64; 95% CI = 1.97-16.22 resulted in being significantly and independently associated with frailty. The DCA demonstrated that the addition of Gal-3 in the prognostic model resulted in an improved clinical 'net' benefit. Conclusions: Circulating levels of Gal-3 are independently associated with frailty in elderly patients with systolic HF.

Usefulness of the Simplified Frailty Scale in Predicting Risk of Readmission or Mortality in Elderly Patients Hospitalized with Cardiovascular Disease

The simplified frailty scale is a simple frailty assessment tool modified from Fried's phenotypic frailty criteria, which is easy to administer in hospitalized patients. The applicability of the simplified frailty scale to indicate prognosis in elderly hospitalized patients with cardiovascular disease (CVD) was examined.This cohort study was performed in 895 admitted patients ≥ 65 years (interquartile range, 71.0-81.0, 541 men) with CVD. Patients were classified as robust, prefrail, or frail based on the five components of the simplified frailty scale: weakness, slowness, exhaustion, low activity, and weight loss. The primary endpoint was the composite outcome of all-cause mortality and unplanned readmission for CVD.Patients positive for greater numbers of frailty components showed higher risk of all-cause mortality or unplanned CVD-related readmission (P for trend < 0.001). Classification as both frail (adjusted HR: 3.27, 95% confidence interval [CI]: 1.49-7.21, P = 0.003) and prefrail (adjusted HR: 2.19, 95% CI: 1.00-4.79, P = 0.049) independently predicted the composite endpoint compared with robust after adjusting for potential confounding factors. The inclusion of prefrail, frail, and number of components of frailty increased both continuous net reclassification improvement (0.113, P = 0.049; 0.426, P < 0.001; and 0.321, P < 0.001) and integrated discrimination improvement (0.007, P = 0.037; 0.009, P = 0.038; and 0.018, P = 0.002) for the composite endpoint.Higher scores on the simplified frailty scale were associated with increased risk of mortality or readmission in elderly patients hospitalized for CVD.

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

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

Prevalence and Its Associated Factors of Physical Frailty and Cognitive Impairment: Findings from the West China Health and Aging Trend Study (WCHAT)

OBJECTIVES

Previous literature has reported that physical frailty (PF) closely associated with cognitive impairment (CI). In this study, we aim to describe and evaluate the prevalence and associated factors with different patterns of PF and cognitive impairment.

DESIGN

A cross-sectional study.

SETTING AND PARTICIPANTS

Community-dwelling older adults aged ≥60 from the West China Health and Aging Trend (WCHAT) study were included in this study.

MEASUREMENTS

Participants were assessed the PF and cognitive impairment. PF was assessed using the physical phenotype as defined by Fried's criteria. Cognitive impairment was identified using the Short Portable Mental Status Questionnaire (SPMSQ). According different patterns of PF and cognitive impairment, participants were divided into 4 groups: not-PF and cognitive intact ( "neither" group), not-PF and cognitive impairment ("CI only" group), PF and cognitive intact ("PF only" group), and PF and cognitive impairment ("both" group). Multinomial logistic regression was used to explore the association between medical conditions and different patterns of PF and cognitive impairment after adjusting the demographic characteristics.

RESULTS

Among 4,103 participants (age 67.8 + 5.9 years, female 58.3%), 78.8%, 3.9%, 14.5% and 2.9% were "neither", "PF only", "CI only", and "both", respectively. The prevalence of "PF only", "CI only" and "both" were associated with age, lower education level and single status. In addition, there was substantial ethnicity heterogeneity in the prevalence of different patterns of PF and cognitive impairment. Comparing with "neither", PF and/or cognitive impairment had higher association with depression, ADLs impairment, and malnutrition. Of note, obesity was only significantly associated with "PF only", but not associated with "CI only" or "both".

CONCLUSIONS

We found the substantial demographic and medical conditions disparities in different patterns of PF and cognitive impairment. Further research should focus on the efficient and practical screen to predict the risk of "PF only", "CI only" and "both".

Is vitamin D deficiency related to a higher risk of hospitalization and mortality in veterans with heart failure?

OBJECTIVES

25-hydroxyvitamin D [25(OH)D] deficiency is related to an increase in cardiovascular risk but the association between low 25(OH)D and hospitalization and mortality in heart failure (HF) patients remains unclear. The objective of this study was therefore to determine whether 25(OH)D deficiency is associated with a higher risk of all-cause hospitalizations and mortality in veterans with HF, as well as the differential effect of frailty.

STUDY DESIGN

A retrospective cohort study of veterans with HF.

MAIN OUTCOME

Association between 25(OH)D deficiency and risk of hospitalization and mortality.

MEASURES

25(OH)D status was dichotomized as deficiency (<30 ng/mL) and non-deficiency (≥30 ng/mL). A 44-item Frailty Index (FI) was constructed and used to categorize patients as non-frail (FI < .21) or frail (FI ≥ .21). The association of 25(OH)D deficiency with recurrent hospitalization was analyzed through an Andersen-Gill model and the association with mortality using Cox regression.

RESULTS

We identified 284 patients, of whom 141 (50 %) exhibited 25(OH)D deficiency (67.3 ± 10.5 years of age). The mean 25(OH)D levels in the deficiency and non-deficiency groups were 21.3±5.9 ng/mL and 40.9 ± 10.9 ng/mL, respectively. Over a median follow-up of 1136 days (IQR = 691), there were 617 hospitalizations (68 % in those with 25(OH)D deficiency) and 131 deaths (40 % in those with 25(OH)D deficiency). A significantly higher risk of hospitalization was found in patients with 25(OH)D deficiency: hazard ratio (HR) = 1.8 (95 % CI:1.3-2.5),p < 0.001. Frail veterans had a greater risk of hospitalization than non-frail veterans: HR = 1.7 (95 % CI:1.2-2.7),p < 0.05. Mortality did not show any significant association with 25(OH)D deficiency.

CONCLUSIONS

25(OH)D deficiency was an independent risk factor for hospitalization in patients with HF and the effect persisted in those with frailty.

Frailty Is Intertwined With Heart Failure: Mechanisms, Prevalence, Prognosis, Assessment, and Management

Frailty, a syndrome characterized by an exaggerated decline in function and reserve of multiple physiological systems, is common in older patients with heart failure (HF) and is associated with worse clinical and patient-reported outcomes. Although several detailed assessment tools have been developed and validated in the geriatric population, they are cumbersome, not validated in patients with HF, and not commonly used in routine management of patients with HF. More recently, there has been an increasing interest in developing simple frailty screening tools that could efficiently and quickly identify frail patients with HF in routine clinical settings. As the burden and recognition of frailty in older patients with HF increase, a more comprehensive approach to management is needed that targets deficits across multiple domains, including physical function and medical, cognitive, and social domains. Such a multidomain approach is critical to address the unique, multidimensional challenges to the care of these high-risk patients and to improve their functional status, quality of life, and long-term clinical outcomes. This review discusses the burden of frailty, the conceptual underpinnings of frailty in older patients with HF, and potential strategies for the assessment, screening, and management of frailty in this vulnerable patient population.

Impact of Frailty on Mortality and Hospitalization in Chronic Heart Failure: A Systematic Review and Meta-Analysis

Background

Although frailty has been associated with increased risks for hospitalization and mortality in chronic heart failure, the precise average effect remains uncertain. We performed a systematic review and meta‐analysis to summarize the hazards for mortality and incident hospitalization in patients with heart failure and frailty compared with those without frailty and explored the heterogeneity underlying the effect size estimates.

Methods and Results

MEDLINE, EMBASE, and Cochrane databases were queried for articles published between January 1966 and March 2018. Predefined selection criteria were used. Hazard ratios (HRs) were pooled for meta‐analyses, and where odds ratios were used previously, original data were recalculated for HR. Overlapping data were consolidated, and only unique data points were used. Study quality and bias were assessed. Eight studies were included for mortality (2645 patients), and 6 studies were included for incident hospitalization (2541 patients) during a median follow‐up of 1.82 and 1.12 years, respectively. Frailty was significantly associated with an increased hazard for mortality (HR, 1.54; 95% confidence interval, 1.34–1.75; P<0.001) and incident hospitalization (HR, 1.56; 95% confidence interval, 1.36–1.78; P<0.001) in chronic heart failure. The Fried phenotype estimated a 16.9% larger effect size than the combined Fried/non‐Fried frailty assessment for the end point of mortality (HR, 1.80; 95% confidence interval, 1.41–2.28; P<0.001), but not for hospitalization (HR, 1.57; 95% confidence interval, 1.30–1.89; P<0.001). Study heterogeneity was found to be low (I²=0%), and high quality of studies was verified by the Newcastle‐Ottawa scale.

Conclusions

Overall, the presence of frailty in chronic heart failure is associated with an increased hazard for death and hospitalization by ≈1.5‐fold.

Management of frailty: opportunities, challenges, and future directions

Frailty is a complex age-related clinical condition characterised by a decline in physiological capacity across several organ systems, with a resultant increased susceptibility to stressors. Because of the heterogeneity of frailty in clinical presentation, it is important to have effective strategies for the delivery of care that range across the continuum of frailty severity. In clinical practice, we should do what works, starting with frailty screening, case identification, and management of frailty. This process is unarguably difficult given the absence of an adequate evidence base for individual and health-system interventions to manage frailty. We advocate change towards individually tailored interventions that preserve an individual's independence, physical function, and cognition. This change can be addressed by promoting the recognition of frailty, furthering advancements in evidence-based treatment options, and identifying cost-effective care delivery strategies.

Survival After an Acute Heart Failure Admission. Twelve-Month Outcomes From the NSW HF Snapshot Study

BACKGROUND

The New South Wales (NSW) Heart Failure Snapshot sought to provide a contemporaneous profile of patients admitted with acute heart failure. We have previously reported the baseline results, and this paper reports the 30-day and 12-month outcomes.

METHODS

A prospective audit of consecutive patients admitted to 24 teaching hospitals across NSW and the Australian Capital Territory in July-August 2013 with acute heart failure. Follow-up data were obtained by integration of hospital administrative records and follow-up phone calls with the patients.

RESULTS

Eight hundred eleven (811) patients were recruited across the 24 sites. The NSW HF Snapshot was an elderly cohort (77 ± 14 yrs) with high comorbidity (mean Charlson Comorbidity Index 3.5 ± 2.6), and 71% were frail at baseline. Twenty-four per cent (24%) of patients were readmitted within 30-days post discharge. One hundred seventy-eight (178) patients died within 12 months post discharge. The independent predictors of death were frailty (Hazard Ratio 1.98 [95% Confidence interval 1.18-3.30]; p < 0.01) Charlson Comorbidity Index (HR 1.06 [95% CI 1.00-1.13]; p = 0.05); New York Heart Association (NYHA) class 4 (HR 2.62 [95% CI 1.32-5.22]; p < 0.01); eGFR<30 ml/min/1.73 m² (HR 2.16 [95% CI 1.45-3.21]; p < 0.01); hypokalaemia at discharge (HR 2.55 [95% CI 1.44-4.51]; p < 0.01) and readmission within 30 days of baseline admission (HR 2.13 [95% CI 1.49-3.13]; p < 0.01).

CONCLUSION

In one of the largest prospective audits of acute heart failure outcomes in Australia, we found that short-term readmissions and mortality at 12 months remain high but were largely driven by patient-level factors.

Evaluating the convergent and discriminant validity of three versions of the frailty phenotype in heart failure: results from the FRAME-HF study

BACKGROUND

Frailty is an important predictive measure of mortality and rehospitalisation in people with heart failure. To date, there are no frailty instruments validated for use in people with heart failure.

AIM

The aim of this study was to evaluate the convergent and discriminant validity of three versions of the frailty phenotype in those with heart failure.

METHODS

A single site, prospective cohort study was undertaken among individuals with a confirmed diagnosis of heart failure. Frailty was assessed concurrently using three versions of the frailty phenotype: the original frailty phenotype and two modified versions; the Survey of Health, Ageing and Retirement in Europe frailty instrument (SHARE-FI) and the St Vincent's frailty instrument. Convergent and discriminant validity were assessed by reporting the correlations between each version and related heart failure subconstructs, and by evaluating the ability of each version to discriminate between normal and abnormal scores of other physical and psychosocial scales specific to heart failure-related subconstructs.

RESULTS

The New York Heart Association classes were moderately correlated with the St Vincent's frailty instrument (r=0.47, P⩽0.001), SHARE-FI (r=0.42, P⩽0.001) and the frailty phenotype (r=0.42, P⩽0.001). The SHARE-FI and the St Vincent's frailty instrument were both able to discriminate consistently between normal and abnormal scores in three out of five of the physical and psychosocial subconstructs that were assessed. The SHARE-FI was also able to discriminate between inpatients and outpatients who were classified as frail.

CONCLUSIONS

Both the SHARE-FI and the St Vincent's frailty instrument displayed good convergent and discriminant validity.