Heart Failure and Frailty in the Community-Living Elderly Population: What the UFO Study Will Tell Us

Frailty Affects Self-Care Behavior in Congestive Heart Failure

To explore the association between frailty and self-care in older adults with congestive heart failure and analyze their influencing factors. The cross-sectional study was conducted at the department of cardiology of a hospital in China from March 2018 to November 2018. A total of 165 participants were recruited. Frailty and self-care were measured by the Tilburg Frailty Indicator, and the Self-care of Heart Failure Index (V6). The physical, psychological, and social frailty exerted a significant negative association with self-care. Exercise, income, comorbidities, and times of congestive heart failure-related hospitalizations were independent risk factors for frailty; surgical treatment, comorbidities, and income were independent risk factors for self-care. These findings help to fill the need for new approaches to identify the high risk of frailty individuals in the acute care setting for targeted intervention and tailored transitions in care to promote optimal patient quality care and biopsychosocial well-being.

Association between heart diseases, social factors and physical frailty in community-dwelling older populations: The septuagenarians, octogenarians, nonagenarians investigation with centenarians study

AIM

Heart diseases and social factors are associated with physical frailty, but there are few studies of older people living in the community. Consequently, the aim of this study was to examine the association between heart diseases, social factors and physical frailty in community-dwelling older populations including the oldest-old people.

METHODS

The cross-sectional study included 1882 participants of community-dwelling older and oldest-old people. The survey site assessed questionnaires on medical history, social factors, blood samples and physical examination. Physical frailty was based on slow gait speed or weak grip strength. Associations were analyzed using multiple logistic regression with adjustments for covariate factors.

RESULTS

Subjects with heart disease had a higher prevalence of physical frailty than those without heart disease. After adjusting the covariate factors, heart diseases were associated with a slow gait speed (odds ratio [OR] = 1.62; 95% confidence interval [CI]: 1.13-2.32, P = 0.009). Frequency of going outdoors and direct interaction with relatives or friends were associated with a slow gait speed (OR = 0.83, 95% CI 0.75-0.91, P ≤ 0.001 and OR = 0.87, 95% CI 0.81-0.94, P < 0.001), and associated with physical frailty (OR = 0.80, 95% CI 0.72-0.89, P ≤ 0.001 and OR = 0.88, 95% CI 0.82-0.95, P = 0.002). Living alone and frequency of direct interaction with relatives or friends were associated with physical frailty in subjects with heart disease.

CONCLUSIONS

Our findings indicate that in community-dwelling older people, heart diseases and social factors were associated with physical frailty. Older people with heart disease, those living alone and the frequency of direct interaction with relatives or friends were associated with physical frailty. Geriatr Gerontol Int 2020; 20: 974-979.

Heart failure, frailty, and pre-frailty: A systematic review and meta-analysis of observational studies

Frailty is a syndrome characterized by reduced physiological reserves, increased vulnerability to stressors and adverse health outcomes. Frailty can change the prognosis and treatment approach of several chronic diseases, including heart failure (HF). The aim of this study was to conduct a systematic review and meta-analysis assessing the association of HF with frailty and pre-frailty. We employed PRISMA guidelines for reporting the results. We searched PubMed, Web of Science, and Embase from 01/01/2002 to 29/11/2019.The quality of the studies was evaluated with the Newcastle Ottawa Scale. Pooled estimates were obtained through random-effect models and Mantel-Haenszel weighting. Homogeneity (I²) and publication bias were assessed. We selected 54 studies (52 cross-sectional, one longitudinal, and one with both designs). The pooled prevalence of pre-frailty in individuals with HF was 46% (95% CI = 38-53; I² = 93.1%) and 40% (95% CI = 31-48; I² = 97%) for frailty. The proportion of pre-frail individuals with HF was 20% (95%CI = 15-25; I² = 99.2%) and the proportion of frail individuals with HF was 31% (95% CI = 17-45; I² = 98.7%). Two studies using the same frailty definition reported estimates for the association between frailty and HF (pooled OR = 3.44; 95% CI = 0.75-15.73; I² = 95.8%). In conclusion, frailty and pre-frailty are frequent in people with HF. Persons with HF have 3.4-fold increased odds of frailty. Longitudinal studies examining bidirectional pathophysiological pathways between HF and frailty are needed to further clarify this relationship and to assess if specific treatment for HF may prevent or delay the onset of frailty and vice versa.

Physical vs. multidimensional frailty in older adults with and without heart failure

Aims

The assessment of frailty in older adults with heart failure (HF) is still debated. Here, we compare the predictive role and the diagnostic accuracy of physical vs. multidimensional frailty assessment on mortality, disability, and hospitalization in older adults with and without HF.

Methods and results

A total of 1077 elderly (≥65 years) outpatients were evaluated with the physical (phy‐Fi) and multidimensional (m‐Fi) frailty scores and according to the presence or the absence of HF. Mortality, disability, and hospitalizations were assessed at baseline and after a 24 month follow‐up. Cox regression analysis demonstrated that, compared with phy‐Fi score, m‐Fi score was more predictive of mortality [hazard ratio (HR) = 1.05 vs. 0.66], disability (HR = 1.02 vs. 0.89), and hospitalization (HR = 1.03 vs. 0.96) in the absence and even more in the presence of HF (HR = 1.11 vs. 0.63, 1.06 vs. 0.98, and 1.14 vs. 1.03, respectively). The area under the curve indicated a better diagnostic accuracy with m‐Fi score than with phy‐Fi score for mortality, disability, and hospitalizations, both in absence (0.782 vs. 0.649, 0.763 vs. 0.695, and 0.732 vs. 0.666, respectively) and in presence of HF (0.824 vs. 0.625, 0.886 vs. 0.793, and 0.812 vs. 0.688, respectively).

Conclusions

The m‐Fi score is able to predict mortality, disability, and hospitalizations better than the phy‐Fi score, not only in absence but also in presence of HF. Our data also demonstrate that the m‐Fi score has better diagnostic accuracy than the phy‐Fi score. Thus, the use of the m‐FI score should be considered for the assessment of frailty in older HF adults.

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.