The frailty syndrome is associated with adverse health outcomes in very old patients with stable heart failure: A prospective study in six Spanish hospitals

Prediction of 90 day readmission in heart failure with preserved ejection fraction by interpretable machine learning

AIMS

Certain critical risk factors of heart failure with preserved ejection fraction (HFpEF) patients were significantly different from those of heart failure with reduced ejection fraction (HFrEF) patients, resulting in the limitations of existing predictive models in real-world situations. This study aimed to develop a machine learning model for predicting 90 day readmission for HFpEF patients.

METHODS AND RESULTS

Data were extracted from electronic health records from 1 August 2020 to 1 August 2021 and follow-up records of patients with HFpEF within 3 months after discharge. Feature extraction was performed by univariate analysis combined with the least absolute shrinkage and selection operator (LASSO) algorithms. Machine learning models like eXtreme Gradient Boosting (XGBoost), random forest, neural network and logistic regression were adopted to construct models. The discrimination and calibration of each model were compared, and the Shapley Additive exPlanations (SHAP) method was used to explore the interpretability of the model. The cohort included 746 patients, of whom 103 (13.8%) were readmitted within 90 days. XGBoost owned the best performance [area under the curve (AUC) = 0.896, precision-recall area under the curve (PR-AUC) = 0.868, sensitivity = 0.817, specificity = 0.837, balanced accuracy = 0.827]. The Kolmogorov-Smirnov (KS) statistic was 0.694 at 0.468 in the XGBoost model. SHAP identified the top 12 risk features, including activities of daily living (ADL), left atrial dimension (LAD), left ventricular end-diastolic diameter (LVDD), shortness, nitrates, length of stay, nutritional risk, fall risk, accompanied by other symptoms, educational level, anticoagulants and edema.

CONCLUSIONS

Our model could help medical agencies achieve the early identification of 90 day readmission risk in HFpEF patients and reveal risk factors that provide valuable insights for treatments.

A systematic review and meta-analysis of frailty in patients with heart failure

OBJECTIVE

To systematically evaluate the effect of frailty on the prognosis of patients with heart failure.

METHODS

Computer searches were conducted on PubMed, Embase, The Cochrane Library, Web of Science, CNKI, Wanfang Data Knowledge Service platform, Weipu full-text database of Chinese scientific and technological journals, and Chinese biomedical literature database from August 12, 2022. After literature screening was completed by two researchers, the data extraction (such as study type, sample size, age of included patients, New York Heart Association (NYHA) Functional Classification, frailty assessment tool, frailty positive rate, outcome indicators, etc.) was performed and the risk of bias in the included studies was assessed. Meta-analysis was performed using Revman 5.4 and Stata 14.0 software.

RESULTS

A total of 32 studies were included, including 406,269 patients with heart failure. All included studies were rated high overall quality. The results of meta-analysis showed: Frailty increases the risk of all-cause death in patients with heart failure (hazard ratio [HR] = 1.73, 95% confidence interval [CI]: 1.50 - 2.00, p < 0.001), unplanned readmission (HR = 1.96, 95% CI: 1.21 - 3.17, p = 0.006), and joint endpoint risk (HR = 1.66, 95% CI: 1.48 - 1.86, p < 0.001).

CONCLUSION

Current evidence suggests that frailty increases the risk of all-cause death, unplanned readmission, and joint endpoints in patients with heart failure.

Effect of frailty on unplanned readmission in older adults: A systematic review

BACKGROUND

Frailty and hospital readmissions are two major problems for older people because of their impact on health, quality of life and healthcare systems. The aims of this study were to investigate the relationship between frailty and unplanned readmissions at 30, 90, 180 days and 1 year in hospitalised older people, and to identify the most relevant tools for assessing readmission risk in different clinical settings to facilitate systematic identification of this high-risk population by healthcare professionals.

METHOD

This review was based on a systematic search of the MEDLINE, EMBASE and SCIENCEDIRECT databases for articles published between January 2011 and December 2021 that examined the association between frailty and unplanned readmission in hospitalised adults aged 65 years and over using identified validated tools.

RESULTS

44 eligible studies out of 1362 were included in a descriptive analysis. Sixteen countries were represented with older adults hospitalised in medical, surgical, post-acute care and rehabilitation, and emergency departments. Up to 84.5% of frail older adults had an unplanned readmission. Of the 21 tools identified, the Hospital Frailty Risk Score (HFRS), the Frailty Index (FI), its derivatives, the Clinical Frailty Scale (CFS) and the Fried model were the most widely used and relevant tools for identifying the association between frailty and unplanned readmission.

CONCLUSION

Frailty is widely associated with readmission risk in older adults. The HFRS, FI, CFS and Fried model appear to be the most commonly used tools to assess frailty and prevent unplanned readmissions.

Impact of Frailty on Heart Failure Prognosis: Is Sex Relevant?

PURPOSE OF REVIEW

Heart failure (HF) is one of the most frequent causes of hospital admission in elderly patients, especially in women, who present a high prevalence of geriatric syndromes like frailty. Studies have suggested that frailty and its impact may also differ between males and females. Understanding how frailty may differently affect HF patients depending on sex is therefore imperative for providing personalized care. The aim of this review is to summarize the role of sex in the prognostic impact of frailty in HF patients.

RECENT FINDINGS

Numerous studies have identified frailty as a significant predictor of all-cause mortality and hospital readmissions. A recent study of elderly HF out-patients demonstrated that while women had a higher prevalence of frailty, it was an independent predictor of mortality and readmission only in men. Moreover, another study revealed that physical frailty was associated with time to first clinical event among men but not among women. These results raise the question about why frailty affects differently HF prognosis in men and women. Women with HF present a higher prevalence of frailty, especially when it is considered as physical decline. Nevertheless, frailty affects differently HF prognosis in men and women. Women with HF present lower mortality than men and frailty is related with prognosis only in men. The different severity of HF between men and women and other hormonal, psychosocial, and clinical factors might be involved in this fact.

Prognostic effect of systematic geriatric assessment on patients with acute heart failure

AIMS

Frailty and dependence are frequent in patients admitted for acute heart failure (AHF), but their prognostic significance is unknown, especially in young adults. We aimed to study in adults admitted for AHF, regardless of age, the effect of frailty and dependence on the incidence of mortality and a combined event of mortality, readmissions for AHF, and visits to the emergency room (ER) for AHF at 1 and 6 months.

METHODS AND RESULTS

We designed a prospective cohort study by including all the patients with AHF admitted in our Cardiology Department from July 2020 through May 2021. A multidimensional geriatric assessment was performed during the admission. We clinically followed up the patients 6 months after discharge. We enrolled 202 patients. The mean age was 73 ± 12.32 years, and 100 (49.5%) of the patients were elderly (>75 years). Just 78 patients (38.6%) were women, and 100 (49.5%) had previous HF. Frailty (FRAIL ≥ 3) was observed in 68 (33.7%) patients (mean FRAIL score: 1.88 ± 1.48). Dependence (Barthel < 100) was observed in 65 (32.2%) patients (mean Barthel index: 94.38 ± 11.21). Frailty and dependence showed a significant association with both prognostic events at 1 and 6 months. In the multivariable analysis, frailty was associated with higher mortality at 1 month [hazard ratio (HR) 12.61, 95% confidence interval (CI) 1.57-101.47, P = 0.017] but not at 6 months (HR 2.25, 95% CI 0.61-8.26, P = 0.224) or with the combined endpoint at neither 1 month (HR 1.64, 95% CI 0.54-5.03, P = 0.384) nor 6 months (HR 1.35, 95% CI 0.75-2.46, P = 0.320). Dependence was related to higher mortality at 1 month (HR 13.04, 95% CI 1.62-104.75, P = 0.016) and 6 months (HR 7.18, 95% CI 1.99-25.86, P = 0.003) and to higher incidence of the combined event at 1 month (HR 5.93, 95% CI 1.63-21.50, P = 0.007) and 6 months (HR 2.62, 95% CI 1.49-4.61, P = 0.001).

CONCLUSIONS

In AHF patients, frailty and dependence implied a worse prognosis, rising mortality, readmissions, and ER visits for AHF.

Association between natriuretic peptides and C-reactive protein with frailty in heart failure: a systematic review and meta-analysis

BACKGROUND

Heart failure (HF) and frailty are accompanied by a bidirectional relationship, sharing common risk factors including elevated levels of natriuretic peptides and inflammation. The aim of this study was to compare biomarkers associated with poor clinical outcomes, that is, plasma brain natriuretic peptide (BNP), N-terminal-pro B-type natriuretic peptide (NT-proBNP), and C-reactive protein (CRP) in patients with HF and frailty vs. patients with HF without frailty.

METHODS

From inception until July 2023, PubMed, Scopus, Web of Science, and Cochrane Library a systematic literature search was conducted. To evaluate whether frailty is linked with greater levels of BNP, NT-proBNP, and CRP, a meta-analysis using a random-effects model was used to calculate the pooled effects (CRD42023446607).

RESULTS

Fifty-three studies were included in this systematic review and meta-analysis. Patients with HF and frailty displayed significantly higher levels of BNP (k = 11; SMD: 0.53, 95%CI 0.30-0.76, I2 = 86%, P < 0.01), NT-proBNP (k = 23; SMD: 0.33, 95%CI 0.25-0.40, I2 = 72%, P < 0.01), and CRP (k = 8; SMD: 0.30, 95%CI 0.12-0.48, I2 = 62%, P < 0.01) vs. patients with HF without frailty. Using meta-regression, body mass index (BMI) and age were deemed potential moderators of these findings.

CONCLUSIONS

Frailty in HF is linked to increased concentrations of BNP, NT-proBNP, and CRP, which have been epidemiologically associated with adverse outcomes. The increased risk of NYHA III/IV classification further emphasizes the clinical impact of frailty in this population.

Frailty in Older Patients with Transthyretin Cardiac Amyloidosis

Background-Transthyretin cardiac amyloidosis (ATTR-CA) prevalence increases with age. The interplay between frailty and heart failure has been increasingly recognized. The objective of this study is to compare clinical, biological, and transthoracic echocardiography (TTE) characteristics of older ATTR-CA patients according to the G8 frailty screening tool. Methods-Patients over 75 years old with a confirmed diagnosis of ATTR-CA were included between January 2020 and April 2021. All patients underwent a routine blood test, TTE, and a functional assessment with a six-minute walking distance test (6MWD) or cardiopulmonary exercise testing (CPET), and the G8 score was calculated. Results-Fifty-two patients were included. Thirty-nine (75%) patients were frail and their mean NYHA stage was more severe (2.2 vs. 1.7; p = 0.004); 62% of them had a Gilmore stage of 2 or 3 (p = 0.05). Global left ventricular strain (GLS) was lower (-11.7% vs. -14.9%; p = 0.014) and the interventricular septum was thicker (18 ± 2 mm vs. 17 ± 2 mm; p = 0.033) in frail patients. There were no significant differences according to functional tests. Conclusion-The majority of older patients with ATTR-CA are frail according to the G8 score. They are more symptomatic and have an increased cardiac involvement and a poorer prognosis, requiring more personalized cardiac management.

Frailty and outcomes in heart failure patients from high-, middle-, and low-income countries

BACKGROUND AND AIMS

There is little information on the incremental prognostic importance of frailty beyond conventional prognostic variables in heart failure (HF) populations from different country income levels.

METHODS

A total of 3429 adults with HF (age 61 ± 14 years, 33% women) from 27 high-, middle- and low-income countries were prospectively studied. Baseline frailty was evaluated by the Fried index, incorporating handgrip strength, gait speed, physical activity, unintended weight loss, and self-reported exhaustion. Mean left ventricular ejection fraction was 39 ± 14% and 26% had New York Heart Association Class III/IV symptoms. Participants were followed for a median (25th to 75th percentile) of 3.1 (2.0-4.3) years. Cox proportional hazard models for death and HF hospitalization adjusted for country income level; age; sex; education; HF aetiology; left ventricular ejection fraction; diabetes; tobacco and alcohol use; New York Heart Association functional class; HF medication use; blood pressure; and haemoglobin, sodium, and creatinine concentrations were performed. The incremental discriminatory value of frailty over and above the MAGGIC risk score was evaluated by the area under the receiver-operating characteristic curve.

RESULTS

At baseline, 18% of participants were robust, 61% pre-frail, and 21% frail. During follow-up, 565 (16%) participants died and 471 (14%) were hospitalized for HF. Respective adjusted hazard ratios (95% confidence interval) for death among the pre-frail and frail were 1.59 (1.12-2.26) and 2.92 (1.99-4.27). Respective adjusted hazard ratios (95% confidence interval) for HF hospitalization were 1.32 (0.93-1.87) and 1.97 (1.33-2.91). Findings were consistent among different country income levels and by most subgroups. Adding frailty to the MAGGIC risk score improved the discrimination of future death and HF hospitalization.

CONCLUSIONS

Frailty confers substantial incremental prognostic information to prognostic variables for predicting death and HF hospitalization. The relationship between frailty and these outcomes is consistent across countries at all income levels.

Feasibility of frailty screening among patients with advanced heart failure

BACKGROUND

Frailty is common among patients with advanced heart failure (HF), and screening for frailty to guide care is recommended. Although multiple tools are available to screen for frailty, the feasibility of routinely incorporating frailty screening into daily clinical practice among hospitalised advanced HF patients has not been rigorously tested.

METHODS

This was a prospective, single-centre, quality improvement study. Two brief frailty screening tools were incorporated into palliative care consultations for all patients ≥50 years from August 2021 to October 2022. In the first phase, the Clinical Frailty Scale (CFS) was implemented, followed by the Study of Osteoporotic Fracture (SOF) tool or a modified SOF (mSOF) version in the second phase. The primary outcome was feasibility (%) of performing frailty screenings for this high-risk population.

RESULTS

A total of 212 patients (mean age 69±10 years, 69% male, 79% white, 30% with ischaemic HF) were referred for palliative care consultation during the study period. Overall, frailty screens were completed in 86% (n=183) of patients. CFS and mSOF reached >80% of adoption, while SOF adoption was 54%. Altogether, 52% of the population screened frail by use of CFS and 52% also by mSOF. All clinicians (n=6) participating in the study reported that frailty screening tools were useful and acceptable, and 83% reported plans for continued utilisation in future clinical practice.

CONCLUSIONS

Frailty screening with CFS or mSOF tools was feasible in hospitalised patients with advanced HF. Tools that require physical assessment were more challenging to implement. These data support the feasibility of incorporating questionnaire-based frailty screening in a busy hospital setting.

Associations of multidimensional fatigue with the physical, psychological, and situational factors in outpatients with heart failure: a cross-sectional study

AIMS

Fatigue, a distressing symptom in patients with heart failure (HF), is associated with progress and health outcomes. Fatigue has been identified as having multidimensions, but a few studies have used a multidimensional fatigue scale. Many factors related to HF, including physical, psychological, and situational factors, may impact fatigue. However, there is limited knowledge about how these HF-related factors are associated with multidimensional fatigue in outpatients with HF in Japan. The aim of this study was to identify HF-related factors [physical; clinical characteristics, New York Heart Association (NYHA) functional class and physical function, psychological; depressive symptoms and anxiety, situational; health literacy and perceived control] associated with the five dimensions of fatigue in outpatients with HF.

METHODS AND RESULTS

Outpatients with HF (N = 165, mean age = 69.5 years, 78.8% male) completed the survey and physical assessment of gait speed. Fatigue was assessed using five dimensions of the Multidimensional Fatigue Inventory-20. Multiple linear regression analysis was conducted for each dimension of fatigue. General fatigue was predicted by age, NYHA, and perceived control. Physical fatigue was predicted by NYHA, depressive symptoms, and perceived control. Reduced activity was predicted by NYHA, gait speed, depressive symptoms, communicative health literacy, and critical health literacy. The reduced motivation was predicted by depressive symptoms and perceived control. Mental fatigue was predicted by depressive symptoms.

CONCLUSION

Different factors were significantly associated with each fatigue dimension. Further research is needed to alleviate fatigue in patients with HF.

Fast systematic geriatric assessment in acute heart failure patients admitted in Cardiology

BACKGROUND

Heart failure prevalence is increasing in elder adults. These patients usually present geriatric syndromes, especially frailty. The effect of frailty on heart failure is under discussion but there are few data about the clinical characterization of frail patients who are admitted for acute heart failure decompensation.

OBJECTIVE

The purpose of this study was to study the differences in clinical baseline variables and geriatric scales between frail and non-frail patients admitted to the Cardiology unit via the Emergency Department for acute heart failure.

METHODS

We enrolled all patients with acute heart failure who were admitted to the Cardiology unit from the Emergency Department of our hospital from July 2020 through May 2021. A multidimensional and comprehensive geriatric assessment was performed at the moment of admission. We studied differences in baseline variables and geriatric scales according to the frailty status determined by the FRAIL scale.

RESULTS

A total of 202 patients were included. In the whole population, 68 (33.7%) patients presented frailty defined by a FRAIL score ≥ 3. The frail patients were older (80±9 vs. 69±12 years; p<0.001), and had a worse quality of life (58.31±12.18 vs.39.26±13.71 points; p<0.001) according to the Minnesota scale, presented high comorbidity (47 (69.1%) vs. 67 (50.4%) patients; p = 0.011) defined as ≥3 points according to the Charlson scale and were more dependent (40 (58.8%) vs. 25 (18.8%) patients; p<0.001) according to the Barthel scale. The frail patients presented higher MAGGIC risk scores (24.09±4.99 vs. 18.89±6.26; p<0.001). Despite this adverse profile, the treatments prescribed during the admission and at the hospital discharge were similar.

CONCLUSIONS

The prevalence of geriatric syndromes, especially frailty, is very high in patients admitted for acute heart failure. Frail patients with acute heart failure had an adverse clinical profile with more prevalence of concomitant geriatric syndromes. Therefore, we consider that a geriatric assessment should be performed during the admission of acute heart failure patients to improve care and attention.

A Systematic Review of Frailty Scores Used in Heart Failure Patients

BACKGROUND

Frailty is a complex, multi-dimensional syndrome commonly observed in patients with heart failure (HF). The presence of frailty in patients living with HF is strongly associated with increased vulnerability to adverse events, including falls, hospitalisation, and increased mortality. Several scoring systems have been developed to assess the presence of frailty in patients with HF. These scoring systems vary in their complexity and applicability; however, they provide the physician with a more comprehensive understanding of the biological, functional, and psycho-social needs of these patients.

OBJECTIVES

To assess the clinical applicability of frailty tools in HF patients and their prognostic value, specifically relating to outcomes such as mortality, readmissions, and clinical deterioration.

METHODS

A literature search using six electronic databases (PubMed, Scopus, Embase, Medline, Cochrane and Web of Science) was performed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Key search Medical Subject Headings (MeSH) terms combined "Frailty" AND "Heart failure". Studies were included if they assessed frailty using systematically defined criteria in a HF population. The PRISMA guidelines were used to include all relevant articles based on titles and abstracts. Full text articles were screened based on abstract relevance. A systematic narrative review of the literature was conducted on the final list of full text articles.

RESULTS

An initial search yielded 8,066 articles. Following the removal of duplicates, title, and abstract searches, the remaining 154 articles underwent full text review, with 31 articles accepted for final qualitative synthesis. The two most utilised frailty scores were the Fried Frailty Phenotype (n=10) and the Barthel Index (n=8). The frailty scores provide prognostic data on multiple outcomes including mortality, increased hospitalisation, and functional decline.

CONCLUSION

At the present time there is no universally applied frailty measure in a HF population. Choice of frailty score should be guided by physician experience and clinical setting, as well as tailored to a patient's functional, biological, and psycho-social circumstances. A push to adopt a single universal scoring system may help to ensure that frailty is assessed in all patients who live with HF.

Brain natriuretic peptide levels and short physical performance battery scores independently influence short-term readmission rates in older patients with heart failure

The Short Physical Performance Battery (SPPB) is a well-established tool to assess the lower extremity physical performance status. The purpose of this study is to examine the impact of brain natriuretic peptide (BNP) levels and SPPB scores on short-term readmission in older patients with heart failure (HF). This prospective cohort study enrolled 325 patients with HF who were hospitalized for acute decompensated HF between November 2017 and December 2021. Variables were analyzed using the Cox proportional hazards model, receiver operating characteristic (ROC) curve, and Kaplan-Meier analysis. The 107 patients who met the inclusion criteria were divided into readmission (within 90 days of discharge; n = 25) and non-readmission (n = 82) groups. Multivariate analysis revealed that BNP level and SPPB score were independent risk factors for readmission within 90 days after discharge. Patients were classified into three groups according to the BNP and SPPB cutoff values calculated using ROC curves. The risk of readmission was significantly higher in Group 3 (BNP ≥ 384 pg/mL and SPPB ≤ 7 points) than in Group 1 (BNP < 384 pg/mL and SPPB > 7 points; hazard ratio: 27.68, 95% confidence interval: 3.672 - 208.700, P = 0.0012). Our study showed that HF patients with high BNP levels and low SPPB scores have a dramatically increased risk of readmission within 90 days of discharge.

Frailty and prognosis of older patients with chronic heart failure

INTRODUCTION AND OBJECTIVES

Heart failure (HF) is prevalent in advanced ages. Our objective was to assess the impact of frailty on 1-year mortality in older patients with ambulatory HF.

METHODS

Our data come from the FRAGIC study (Spanish acronym for "Study of the impact of frailty and other geriatric syndromes on the clinical management and prognosis of elderly outpatients with heart failure"), a multicenter prospective registry conducted in 16 Spanish hospitals including outpatients ≥ 75 years with HF followed up by cardiology services in Spain.

RESULTS

We included 499 patients with a mean age of 81.4±4.3 years, of whom 193 (38%) were women. A total of 268 (54%) had left ventricular ejection fraction <40%, and 84.6% was in NYHA II functional class. The FRAIL scale identified 244 (49%) pre-frail and 111 (22%) frail patients. Frail patients were significantly older, were more frequently female (both, P <.001), and had higher comorbidity according to the Charlson index (P=.017) and a higher prevalence of geriatric syndromes (P <.001). During a median follow-up of 371 [361-387] days, 58 patients (11.6%) died. On multivariate analysis (Cox regression model), frailty detected with the FRAIL scale was marginally associated with mortality (HR=2.35; 95%CI, 0.96-5.71; P=.059), while frailty identified by the visual mobility scale was an independent predictor of mortality (HR=2.26; 95%CI, 1.16-4.38; P=.015); this association was maintained after adjustment for confounding variables (HR=2.13; 95%CI, 1.08-4.20; P=.02).

CONCLUSIONS

In elderly outpatients with HF, frailty is independently associated with mortality at 1 year of follow-up. It is essential to identify frailty as part of the comprehensive approach to elderly patients with HF.

The Future of Assessing Frailty in the Patient With Advanced Heart Failure: A Review of Current Literature

Frailty is becoming an important component of health care outcomes in patients with a diagnosis of heart failure. A literature search was completed to determine whether a best practice guideline existed to assess frailty in patients who were considering ventricular assist device placement. The literature search revealed that best practice guidelines did not exist. A second comprehensive literature search was completed specifically for frailty including the definition, criteria, assessment, and outcomes. The studies revealed that there were challenges with defining frailty, the age of frailty, assessments tools, and study designs. Cardiologists are primarily interested in screening for frailty, but other physician specialty practices are interested in a frailty screening tool as well. This article discusses the inconsistent research studies and the need for a valid and reliable tool to assess for frailty. It is important that nurse leaders and those working with heart failure patients determine the best practice guidelines for assessing frailty.

Effectiveness of telemedicine in patients with heart failure according to frailty phenotypes: Insights from the iCOR randomised controlled trial

BACKGROUND

The potential impact of telemedicine (TM) in the monitoring of patients with heart failure (HF) is still uncertain particularly in the frailest patients. The aim of this study was to define the efficacy of a TM-based managed care solution across different HF patient frailty phenotypes.

METHODS

We performed a clustering analysis on the basis of 8 frailty-related dimensions to the HF-patients included in the 'insuficiència Cardíaca Optimització Remota' (iCOR) randomised study comparing TM vs. usual care (UC) in HF patients. The primary study endpoint was the incidence of a non-fatal HF event after 6 months of inclusion. The healthcare-related costs in each study group and cluster were also evaluated. The event rates of primary and secondary study endpoints were calculated for each cluster. Cox proportional-hazards regression models were used to evaluate the effect of cluster, treatment group and the interaction term cluster by treatment group on study endpoints.

RESULTS

5 different frailty phenotypes were identified. The positive effect of TM compared to UC strategy was consistent across all frailty phenotypes (p-value for interaction 0.711). The risk of experiencing a primary event was significantly lower in patients that underwent allocation to the TM arm compared to UC (p-value = 0.016). Ultimately, the healthcare costs were significantly reduced in patients allocated to the TM compared to UC in all 5 frailty phenotypes (all p-value < 0.05).

CONCLUSIONS

Non-invasive TM-based follow-up tools are effective compared to UC follow-up in preventing HF events in the early post-discharge period, regardless of the 5 frailty phenotypes.

Interactive effects of exercise and sleep on frailty severity in community-dwelling older adults: a cross-sectional study

Objectives: This study examined the effects of the interaction between exercise and sleep on frailty severity in community-dwelling older adults.

Materials and Methods: This was a cross-sectional study. Data were collected in July 2019. In total, 2021 adults participated who responded to a questionnaire. Among them, 672 participants (317 men and 355 women) with valid responses were included in the analysis. Ordinal logistic regression analysis was performed to examine the association between frailty severity and the interaction between exercise and sleep. The dependent variable represents three different levels of frailty. The independent variables included basic information and interaction between exercise and sleep.

Results: The results of ordinal logistic regression analysis (odds ratio [OR]) showed that the period from the start of exercise (OR=0.96), age (OR=1.00 for participants in their 60 s, OR=1.65 for those in their 70s, and OR=3.13 for those aged >80 years), poor subjective health perception (OR=2.12), poor quality of sleep (OR=1.88), stress (OR=1.62), and exercise–sleep interaction (OR=1.00 based on good-exercise–good-sleep interaction, OR=3.09 poor-exercise–good-sleep interaction, and OR=3.50 poor-exercise–poor-sleep interaction) significantly contributed to the model. The Nagelkerke coefficient of determination adjusted for degrees-of-freedom (R²), which represents the contribution rate of the regression equation, was 0.334.

Conclusions: Our results suggest that a combination of good exercise and good sleep is needed to prevent frailty progression in community-dwelling older adults.

Association of frailty with in-hospital outcomes in elderly patients with heart failure

BACKGROUND

Frailty is prevalent in elderly patients with cardiovascular diseases. However, the association between frailty and in-hospital outcomes for elderly patients with heart failure and reduced ejection (HFrEF) remains unknown.

AIM

To evaluate the predictive efficacy of frailty, compared with pre-frailty, for adverse events in these patients.

METHODS

Elderly patients (≥ 60 years) with HFrEF were assessed. Frailty was evaluated with the Fried phenotype criteria, and physical performance was evaluated based on handgrip strength and the short physical performance battery (SPPB). The composite incidence of adverse events, including all-cause death, multiple organ failure, cardiac shock, and malignant arrhythmia, during hospitalization was recorded.

RESULTS

Overall, 252 elderly individuals with HFrEF [mean age: 69.4 ± 6.7 years, male: 169 (67.0%)] were included. One hundred and thirty-five (53.6%) patients were frail and 93 (36.9%) were pre-frail. Frail patients were older, more likely to be female, to have a lower blood pressure, and to present with left ventricular thrombosis (P all < 0.05). Frail patients with HFrEF had a higher incidence of in-hospital mortality (11.9% vs 4.3%, P = 0.048). Multivariate analyses showed that female gender (OR = 0.422), aging (OR = 1.090), poor cardiac functional class (OR = 2.167), frailty (OR = 2.379), and lower handgrip strength (OR = 1.106) were independent predictors of in-hospital adverse events (P all < 0.05).

CONCLUSION

Frailty may be associated with poor in-hospital outcomes for elderly patients with HFrEF. The influence of frailty on long-term prognosis in these patients deserves further investigation.

Frailty in Wild-Type Transthyretin Cardiac Amyloidosis: The Tip of the Iceberg

ATTRwt-CA occurs in elderly patients and leads to severe heart failure. The disease mechanism involves cardiac and extracardiac infiltration by amyloid fibrils. The objectives of this study are to describe the frailty phenotype in patients with ATTRwt-CA and to assess the associations between frailty parameters, the severity of cardiac involvement, and the course of amyloid disease. We used multidimensional geriatric tools to prospectively assess frailty in patients with ATTRwt-CA consulting (in 2018-2019) in the French National Reference Center for Cardiac Amyloidosis. We included 36 patients (35 males; median age: 82 years (76-86). A third of the patients were categorized as NYHA class III or IV, and 39% had an LVEF below 45%. The median serum NTproBNP was 3188 (1341-8883) pg/mL. The median duration of amyloidosis was 146 months (73-216). The frequency of frailty was 50% and 33% according to the physical frailty phenotype and the Short Emergency Geriatric Assessment questionnaire, respectively. Frailty affected a large number of domains, namely autonomy (69%), balance (58%), muscle weakness (74%), malnutrition (39%), dysexecutive syndrome (72%), and depression (49%). The severity of CA was significantly associated with many frailty parameters independently of age. Balance disorders and poor mobility were also significantly associated with a longer course of amyloid disease. Frailty is frequent in patients with ATTRwt-CA. Some frailty parameters were significantly associated with a longer course of amyloid disease and CA severity. Taking into account frailty in the assessment and management of ATTRwt should improve patients' quality of life.

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.

Gender differences in the prevalence of frailty in heart failure: A systematic review and meta-analysis

OBJECTIVES

This study quantitatively synthesized literature to identify gender differences in the prevalence of frailty in heart failure (HF).

BACKGROUND

The intersection of frailty and HF continues to garner interest. Almost half of patients with HF are frail; however, gender differences in frailty in HF are poorly understood.

METHODS

We performed a literature search to identify studies that reported prevalence of frailty by gender in HF. Random-effects meta-analysis was used to quantify the relative and absolute risk of frailty in women compared with men with HF, overall, and by Physical and Multidimensional Frailty measures. Meta-regression was performed to examine the influence of study age and functional class on relative risk in HF.

RESULTS

Twenty-nine studies involving 8854 adults with HF were included. Overall in HF, women had a 26% higher relative risk of being frail compared with men (95% CI = 1.14-1.38, z = 4.69, p < 0.001, I2 = 76.5%). The overall absolute risk for women compared to men with HF being frail was 10% (95% CI = 0.06-0.15, z = 4.41, p < 0.001). The relative risk of frailty was slightly higher among studies that used Physical measures (relative risk = 1.27, p < 0.001) compared with studies that used Multidimensional measures (relative risk = 1.24, p = 0.024). There were no significant relationships between relative risk and either study age or functional class.

CONCLUSIONS

In HF, frailty affects women significantly more than men. Future work should focus on elucidating potential causes of gender differences in frailty in HF.

Red blood cell distribution width and serum CA-125 level as prognostic markers in acute exacerbation of chronic obstructive pulmonary disease

Objective

Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a primary cause of hospitalization and death in COPD. Serum CA-125 and red blood cell distribution width (RDW) are related to AECOPD. We investigated correlations between serum markers and AECOPD.

Methods

In total, 132 patients with AECOPD were included from January 2017 to December 2019. Participants were followed for 1 year. Patients were assigned to the poor prognosis (n = 40) or good prognosis (n = 92) group. We collected serum samples and general clinical information and conducted routine blood tests. We used logistic regression, receiver operating characteristic (ROC), and area under the ROC curve (AUC) analyses to assess differences between groups.

Results

We found significant differences between groups (odds ratio, 95% confidence interval) for age (1.046, 1.005–1.09), RDW (2.012, 1.339–3.023), and cancer antigen 125 (CA-125; 1.022, 1.006–1.039); these remained risk factors for AECOPD prognosis in multivariate analyses. RDW and CA-125 in combination was significant in ROC curve analysis. The AUC of RDW, CA-125, and these combined were 0.691, 0.779, and 0.772, respectively. Patients with RDW >12.75% and CA-125 >15.65 U/mL were predicted to have poor prognosis.

Conclusions

We found that RDW and CA-125 are potential prognostic indicators for AECOPD.

Association between a pre-admission limitation in walking ability and post-discharge adverse outcomes among hospitalized patients with heart failure: Report from a multicenter prospective cohort study

BACKGROUND

Although limited walking ability at discharge is a known risk factor for adverse outcomes in older patients with heart failure (HF), the association between pre-admission limitations and adverse outcomes is unknown. Therefore, we evaluated the prevalence of a pre-admission limitation in walking ability and its relationship with post-discharge outcomes among patients with HF with reduced, mid-range, and preserved left-ventricular ejection fraction (HFrEF, HFmrEF, and HFpEF).

METHODS

We followed 2042 patients aged ≥65 years (HFrEF, n = 668; HFmrEF, n = 360; HFpEF, n = 1014) from a multicenter cohort study in Japan. A limitation in walking ability was defined as the necessity of any assistance or a walking aid. Adverse outcomes were defined as the composite of HF rehospitalization and all-cause death within 2 years after discharge.

RESULTS

During 2978.0 person-years of follow-up, 563 patients were rehospitalized due to HF exacerbation and 103 patients died. In HFrEF, HFmrEF, and HFpEF groups, the prevalence of a pre-admission limitation in walking ability was 12.1%, 18.6%, and 21.1%, respectively, the crude hazard ratios [95% confidence interval] of a pre-admission limitation in walking ability were 2.46 [1.79-3.39], 1.34 [0.87-2.06], and 1.94 [1.53-2.47], and the adjusted hazard ratios were 2.21 [1.58-3.16], 1.19 [0.75-1.89], and 1.39 [1.06-1.82], respectively.

CONCLUSIONS

A pre-admission limitation in walking ability is a predictor of post-discharge HF rehospitalization or all-cause death among patients with HFrEF and HFpEF, but not among patients with HFmrEF. Shortly after admission, information regarding pre-admission functional limitations should be obtained to better understand the risk of post-discharge adverse outcomes.

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.

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.

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.

The clinical characteristics and outcomes of heart failure patient with chronic obstructive pulmonary disease from the Japanese community-based registry

Both heart failure (HF) and chronic obstructive pulmonary disease (COPD) are common diseases, but few studies have assessed the relationship between COPD and outcomes in patients with acute HF, especially in relation to age or ejection fraction (EF). The Kitakawachi Clinical Background and Outcome of Heart Failure Registry was a prospective, multicenter, community-based cohort and enrolled a total of 1,102 patients with acute HF between 2015 and 2017 in this study. The primary endpoint was defined as a composite endpoint that included all-cause mortality and hospitalization for HF. We stratified patients into two groups: those aged ≥ 80 years (elderly) and < 80 years (nonelderly). HF with preserved EF (HFpEF) was defined as EF ≥ 50%, whereas HF with reduced ejection fraction (HFrEF) was defined as EF < 50%. A total of 159 patients (14.4%) with COPD and 943 patients (83.6%) without COPD were included. COPD was found to be independently associated with a higher risk of the composite endpoint (adjusted hazard ratio: 1.42, 95% confidence interval: 1.14-1.77; p = 0.003). During a subgroup analysis, COPD was exposed as an independent risk factor of the composite endpoint in nonelderly patients; however, there was not such a finding observed among elderly patients. Separately, there was a significant association with COPD and the composite endpoint in patients with HFpEF. COPD showed a significantly higher risk of the composite endpoint after discharge in acute HF. However, this heightened risk was observable only in the subgroup of nonelderly patients and those of HFpEF.

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 as a predictor of all-cause mortality and readmission in older patients with acute coronary syndrome : A systematic review and meta-analysis

BACKGROUND

Evidence from longitudinal studies linking frailty and outcome after acute coronary syndrome (ACS) is mixed. This systematic review and meta-analysis aimed to examine whether frailty is a predictor of all-cause mortality and hospital readmission in older patients with ACS.

METHODS

A systematic search was carried out in PubMed, EMBASE and Web of Science databases for studies evaluating the association between frailty and outcomes in older patients with ACS. A meta-analysis was performed to determine the pooled effect estimate for the association between frailty and mortality and hospital readmission, respectively.

RESULTS

A total of 1459 articles were retrieved based on our search strategy. Fifteen studies involving 10,245 patients were included in the meta-analysis. The pooled prevalence of frailty was 32% (95% confidence interval [CI]: 25-39%), and the pooled prevalence of pre-frailty was 33% (95% CI: 26-40%) in elderly patients with ACS. Pooled analyses showed that frailty was associated with significantly higher risk of all-cause mortality and readmission (hazard ratios [HRs] = 2.43 and 2.32, respectively). Pre-frailty was also associated with significantly higher risk of all-cause mortality and readmission, respectively (HRs = 1.55 and 1.34, respectively).

CONCLUSIONS

Both frailty and pre-frailty are risk factors for all-cause mortality and readmission in older patients with ACS. Therefore, frailty assessment should be given sufficient attention in the management of older patients with ACS to help improve survival and reduce readmission rate.

[Cross-speciality geriatrics: A health-care challenge for the 21st century]

Increasing numbers of older persons are being treated by specialties other than Geriatric Medicine. Specialists turn to Geriatric Teams when they need to accurately stratify their patients' risk and prognosis, predict the potential impact of their, often, invasive interventions, optimise their clinical status, and contribute to discharge planning. Oncology and Haematology, Cardiology, General Surgery, and other surgical departments are examples where such collaborative working is already established, to a varying extent. The use of the term "Cross-speciality Geriatrics" is suggested when geriatric care is provided in clinical areas traditionally outside the reach of Geriatric Teams. The core principles of Geriatric Medicine (comprehensive geriatric assessment, patient-centred multidisciplinary targeted interventions, and input at point-of-care) are adapted to the specifics of each specialty and applied to frail older patients in order to deliver a holistic assessment/treatment, better patient/carer experience, and improved clinical outcomes. Using Comprehensive Geriatric Assessment methodology and Frailty scoring in such patients provides invaluable prognostic information, helps in decision making, and enables personalised treatment strategies. There is evidence that such an approach improves the efficiency of health care systems and patient outcomes. This article includes a review of these concepts, describes existing models of care, presents the most commonly used clinical tools, and offers examples of excellence in this new era of geriatric care. In an ever ageing population it is likely that teams will be asked to provide Cross-specialty Geriatrics across different Health Care systems. The fundamentals for its implementation are in place, but further evidence is required to guide future development and consolidation, making it one of the most important challenges for Geriatrics in the coming years.

Predictors of rehospitalization for community-dwelling older adults with chronic heart failure: A structural equation model

AIMS

To examine the effects of health literacy, activities of daily living, frailty and self-care on rehospitalization for older adults with chronic heart failure using a structural equation model.

DESIGN

This was a cross-sectional study.

METHODS

Two hundred and seventy-one older patients with chronic heart failure were recruited using a convenience sampling method from three community healthcare centres in Guangzhou, Southern China. The data were collected using a questionnaire survey between April 2018 and October 2018 by three research assistants.

FINDINGS

The proposed model revealed a good fit to the data (χ² /d.f. = 2.39, root mean square error of approximation = 0.06, goodness of fit index = 0.93, comparative fit index = 0.91, normed fit index = 0.91). Health literacy (β = 0.21), activities of daily living (β = 0.43), frailty (β = 0.29) and self-care (β = 0.40) directly affected the rehospitalization of older patients with chronic heart failure. Health literacy (β = 0.19), activities of daily living (β = 0.36) and frailty (β = 0.33) indirectly affected rehospitalization through self-care. Frailty (β = 0.16) indirectly affected rehospitalization by activities of daily living. Activities of daily living had the highest direct and total effects on rehospitalization; the effect values were 0.43 and 0.57, respectively.

CONCLUSION

Community-dwelling older adults with chronic heart failure who had limited health literacy, frailty, declined activities of daily living and lower self-care were eligible for rehospitalization. Self-care and activities of daily living were considered mediators between rehospitalization and its predictors. A future longitudinal study is required to validate the results.

IMPACT

Tailored and targeted measures aiming to enhance self-care and activities of daily living have been developed for older patients with chronic heart failure because they are not only predictors but also mediators. Assessment of health literacy level of this population is the first step before developing health education. Frailty of patients with chronic heart failure should be reduced to a minimum level.

Muscle mass, strength, and physical performance predicting activities of daily living: a meta-analysis

Background Activities of daily living (ADLs) and instrumental activities of daily living (IADLs) are essential for independent living and are predictors of morbidity and mortality in older populations. Older adults who are dependent in ADLs and IADLs are also more likely to have poor muscle measures defined as low muscle mass, muscle strength, and physical performance, which further limit their ability to perform activities. The aim of this systematic review and meta-analysis was to determine if muscle measures are predictive of ADL and IADL in older populations. Methods A systematic search was conducted using four databases (MEDLINE, EMBASE, Cochrane, and CINAHL) from date of inception to 7 June 2018. Longitudinal cohorts were included that reported baseline muscle measures defined by muscle mass, muscle strength, and physical performance in conjunction with prospective ADL or IADL in participants aged 65 years and older at follow-up. Meta-analyses were conducted using a random effect model. Results Of the 7760 articles screened, 83 articles were included for the systematic review and involved a total of 108 428 (54.8% female) participants with a follow-up duration ranging from 11 days to 25 years. Low muscle mass was positively associated with ADL dependency in 5/9 articles and 5/5 for IADL dependency. Low muscle strength was associated with ADL dependency in 22/34 articles and IADL dependency in 8/9 articles. Low physical performance was associated with ADL dependency in 37/49 articles and with IADL dependency in 9/11 articles. Forty-five articles were pooled into the meta-analyses, 36 reported ADL, 11 reported IADL, and 2 reported ADL and IADL as a composite outcome. Low muscle mass was associated with worsening ADL (pooled odds ratio (95% confidence interval) 3.19 (1.29-7.92)) and worsening IADL (1.28 (1.02-1.61)). Low handgrip strength was associated with both worsening ADL and IADL (1.51 (1.34-1.70); 1.59 (1.04-2.31) respectively). Low scores on the short physical performance battery and gait speed were associated with worsening ADL (3.49 (2.47-4.92); 2.33 (1.58-3.44) respectively) and IADL (3.09 (1.06-8.98); 1.93 (1.69-2.21) respectively). Low one leg balance (2.74 (1.31-5.72)), timed up and go (3.41 (1.86-6.28)), and chair stand test time (1.90 (1.63-2.21)) were associated with worsening ADL. Conclusions Muscle measures at baseline are predictors of future ADL and IADL dependence in the older adult population.

[Frailty syndrome. What physicians and cardiologists need to know?]

The review presents the data and evidences from recent clinical studies on the frailty syndrome - one of the most relevant clinical syndromes, though not studied well yet. The latest data on the prevalence of frailty and various factors contributing to its onset are reported. The presence of frailty is considered as an independent predictor of poor prognosis and high mortality rate. The role of frailty in the development of cardiovascular diseases, their progression and complicated course has been analyzed using the latest studies. In addition, the tendency towards higher incidence of frailty among the population of different countries and the poor prognosis of frail patients requires a series of clinical studies aimed at developing measures for primary and secondary prevention, as well as effective treatment strategies for frailty. The PubMed was used for a literature review.

Relationship among Activities of Daily Living, Nutritional Status, and 90 Day Readmission in Elderly Patients with Heart Failure

Purpose: This investigation aimed to examine the relationship among activities of daily living (ADL), nutritional status and 90-day hospital readmission in elderly heart failure (HF) patients. Methods: Participants were selected from 634 HF patients consecutively hospitalized at one institution. We investigated patient characteristics, ADL (motor and cognitive items of Functional Independence Measure (FIM)) and nutritional status (Geriatric Nutritional Risk Index (GNRI)). Data were analyzed using unpaired t-test, χ² test, Cox proportional hazard model, and Kaplan-Meier method. Results: The 169 participants that met inclusion criteria were divided into two groups based on hospital readmission within 90 days of discharge. Body mass index (BMI) (p = 0.03), hemoglobin (p = 0.047), GNRI (p = 0.02) and motor-FIM (p = 0.007) were significantly different between the readmission (n = 31) and non-readmission (n = 138) groups. After Cox proportional hazard model analysis, GNRI (HR: 0.96; p = 0.048) and motor-FIM (HR: 0.97; p = 0.03) scores remained statistically significant. Participants were then classified into four groups based on a previous study’s cut-off values of prognosis for GNRI and motor-FIM. Readmission avoidance rate was significantly lower (p = 0.002) in the group with GNRI <92 and motor FIM <75. Conclusions: This study showed that motor-FIM and GNRI scores for hospitalized elderly HF patients were predictors of readmission within 90 days of discharge.

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 Gait Speed on the Obesity Paradox in Older Patients With Cardiovascular Disease

PURPOSE

The purpose of this study was to determine whether gait speed affects the obesity paradox in older patients with cardiovascular disease.

METHODS

The study population consisted of 2224 patients ≥60 years old with cardiovascular disease admitted to hospital between May 1, 2006, and January 31, 2018. Body mass index (BMI) and gait speed before hospital discharge were determined, and patients were divided into two groups: slow and preserved gait speed (≤0.8 and >0.8 m/s, respectively), according to the algorithm for sarcopenia diagnosis. The slow and preserved gait speed groups were also further subdivided according to BMI: <18.5 kg/m², 18.5-24.9 kg/m², and BMI ≥25.0 kg/m². The study endpoint was all-cause mortality.

RESULTS

The study population (male: 66.7%) had a mean age of 73.1 ± 7.6 years. Over a median follow-up period of 1.69 years (interquartile range 0.67-3.67 years), 283 patients died. Higher BMI was associated with favorable prognosis in the group with preserved gait speed but not in the group with slow gait speed after adjusting for other prognostic factors. Adding BMI to the clinical model significantly increased the area under the receiver operating characteristic curve in the group with preserved gait speed (0.744 vs 0.726, P = 0.028) but not in the group with slow gait speed (0.716 vs 0.716, P = 0.789).

CONCLUSIONS

Higher BMI was consistently associated with favorable prognosis in patients with cardiovascular disease and preserved gait speed but not in those with slow gait speed. These findings indicated that physical frailty influences the obesity paradox in older patients with cardiovascular disease.

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.

Patients Refusing Transcatheter Aortic Valve Replacement Even Once Have Poorer Clinical Outcomes

Background

Although transcatheter aortic valve replacement (TAVR) is the least invasive treatment for patients with symptomatic aortic stenosis, some patients hesitate to undergo the procedure. We investigated the clinical impact of treatment delay after patient refusal of TAVR.

Methods and Results

We used the Japanese OCEAN (Optimized Catheter valvular intervention) regsitry data of 1542 patients who underwent TAVR. Refusal was defined as at least 1 refusal of TAVR at the time of informed consent. Patients were separated into 2 groups: refusal (28/1542, 1.8%) and non‐refusal (1514/1542, 98.2%). We compared the baseline characteristics, procedural outcomes, and mortality rates between the groups. Additionally, data on reasons for refusal and those leading to eventually undergoing TAVR were collected. Age, surgical risk scores, and frailty were higher in the refusal group than in the non‐refusal group (P<0.05 for all). Periprocedural complications did not differ between groups, whereas 30‐day and cumulative 1‐year mortality were significantly higher in the refusal group than in the non‐refusal group (7.1% versus 1.3%, P=0.008 and 28.8% versus 10.3%, P=0.010, respectively). Multivariate Cox regression analysis revealed that TAVR refusal was an independent predictor of increased midterm mortality (hazard ratio: 3.37; 95% confidence interval: 1.52–7.48; P=0.003). The most common reason for refusal was fear (13/28, 46.4%), and the most common reason for changing their mind was worsening heart failure (21/28, 75.0%). All patients in the refusal group decided to undergo TAVR within 20 months (median: 5.5 months).

Conclusions

Refusing TAVR even once led to poorer prognosis; therefore, this fact should be clearly discussed when obtaining informed consent.

Using Physical Function to Predict Hospital Readmission within 1 Year in Patients with Heart Failure

OBJECTIVE

The aim of this study was to investigate which method of evaluating physical function could predict 1-year readmission due to worsening of heart failure (HF) in newly diagnosed HF patients.

METHODS

One hundred sixteen consecutive patients with HF who underwent cardiac rehabilitation at our hospital between May 2012 and September 2015 were retrospectively enrolled. Participants were divided into two groups based on whether they were readmitted for worsening HF within 1 year. Logistic regression analysis was used to evaluate whether physical function at the time of discharge was related to HF readmission within 1 year.

RESULTS

After a mean follow-up period of 327 days, 22 patients were readmitted because of worsening HF. In the readmission group, the results of the 6-Minute Walk Test (6MWT), One-Leg Standing Test, and 30-Second Chair-Stand Test at initial discharge were significantly worse than those in the non-readmission group. In a multivariable logistic regression model, after adjusting for age and sex, a lower 6MWT distance was independently associated with increased risk of readmission within 1 year (odds ratio: 0.990, 95% confidence interval: 0.985-0.996). The 6MWT showed better prognostic value (area under the receiver operating characteristic curve: 0.696) than other evaluation methods of physical function. The 1-year non-readmission rates were 90% for 6MWT ≥382.5 m, 68% for 6MWT <382.5 m, and 53% for those unable to walk 200 m independently (P <0.001).

CONCLUSION

Physical function, particularly the 6MWT distance at time of discharge, can be used to predict the likelihood of readmission within 1 year for patients with HF.

[Impact of frailty and other geriatric syndromes on the clinical management and prognosis of elderly ambulatory patients with heart failure. A prospective and multicentre study]

BACKGROUND AND OBJECTIVES

Heart failure (HF) is a chronic disease that is often associated with ageing. There are predictive models based on variables that associate it with a poor prognosis, although those do not include common conditions in the elderly, such as frailty or comorbidity. The aim of this study is to determine the clinical and epidemiological characteristics of a cohort of elderly outpatients with HF followed-up by cardiologists. This will include a study of the prevalence of frailty and other geriatric syndromes, as well as their impact on the prognosis, and to evaluate whether these may improve predictive ability of such predictive models.

MATERIAL AND METHODS

Observational, prospective, and multicentre study that will include 400 patients ≥75years old with chronic HF followed-up in Spanish tertiary hospitals by cardiology specialists in HF. Patients will undergo a comprehensive geriatric assessment, and prediction of events will be performed based on MAGGIC (Meta-Analysis Global Group in Chronic Heart Failure) and Barcelona-Bio HF calculator scores. The primary endpoint is cardiovascular and overall mortality at 1 and 3years follow-up.

RESULTS

This study will assess both the characteristics and prognosis of elderly patients with HF followed-up by cardiologists in Spain and the applicability in the elderly population of scores used in the general population with chronic HF.

CONCLUSION

This is the first prospective study that will systematically assess frailty and other geriatric syndromes in the elderly outpatient with HF in Spain and followed-up by cardiologists, thus contributing to improve knowledge about both its prevalence and impact on our patients.

A novel geriatric assessment frailty score predicts 2-year mortality after transcatheter aortic valve implantation

Aims

Established surgical scores have limitations in delineating risk among candidates for transcatheter aortic valve implantation (TAVI). Assessment of frailty might help to estimate the mortality risk and identify patients likely to benefit from treatment. The aim of the study was to develop a frailty score to guide the decision for TAVI.

Methods and results

We conducted a prospective observational study in patients ≥70 years referred for TAVI during 2011–15. A Heart Team had declined the patients for open heart surgery due to high risk but accepted them for TAVI. Prior to the procedure, a geriatric assessment (GA) was performed. Based on this, an 8-element frailty score with a 0–9 (least frail–most frail) scale was developed. A total of 142 patients, 54% women, mean age 83 (standard deviation 4) years, with severe and symptomatic aortic stenosis were assessed. All-cause 2 year mortality was 11%. The novel GA frailty score predicted 2-year mortality in Cox analyses, also when adjusted for age, gender, and logistic EuroSCORE [hazard ratio (HR) 1.75, 95% confidence interval (CI): 1.28–2.42, P < 0.001]. A receiver operating characteristic (ROC) curve analysis indicated that a GA frailty score cut-off at ≥4 predicted 2-year mortality with a specificity of 80% (95% CI: 73–86%) and a sensitivity of 60% (95% CI: 36–80%). The area under the curve was 0.81 (95% CI 0.71–0.90).

Conclusion

A novel 8-element GA frailty score identified gradations in survival in patients declined for open heart surgery. Patients with higher GA frailty scores had significantly higher 2-year mortality after TAVI.

Trained volunteers to support chronically ill, multimorbid elderly between hospital and domesticity - a systematic review of one-on-one-intervention types, effects, and underlying training concepts

BACKGROUND

New approaches are needed to address the challenges of demographic change, staff shortages, and societal change in the care of the elderly. While volunteering has barely been established as a pillar of the welfare state in several countries, legislators and nonprofit or community-based organizations in some countries favor the increased integration of volunteers, as they can rely on many dedicated people. When caring for the multimorbid elderly, the transition from hospital to domesticity involves certain risks. Currently, no systematic knowledge exists on whether and how elderly benefit from volunteer support after a hospital stay. Objectives of this systematic review were to (1) identify evaluated approaches with trained volunteers supporting chronically ill, multimorbid elderly one-on-one at the interface between hospital and domesticity; (2) investigate the patient-related effectiveness of the approaches; (3) present the characteristics of the supporting volunteers; and (4) present the underlying teaching and training concepts for the volunteers.

METHODS

A systematic search of the following online databases was conducted in April 2017: the Cochrane Library, Medline (PubMed), CINAHL, and PsycINFO (Ebscohost). We included (cluster/quasi-) randomized controlled trials, controlled clinical trials and single-group pre-post design. An institutional search was conducted on eight national institutions from research and practice in Germany. Screening was conducted by one researcher, risk of bias was assessed. Study authors were contacted for study and training details.

RESULTS

We identified a total of twelve studies, eight of which evaluated treatment following hospital stay: psychosocial-coordinative support (n = 2), physical-cognitive activation (n = 4), and assistance with medication intake (n = 2). We saw short-term effects with small and medium effect sizes. Most volunteers were women aged between 45 and 61 years. Their training lasted 12-26 h and took place prior to first patient contact. During the intervention, volunteers could rely on permanent supporting structures.

CONCLUSIONS

Few studies exist that have evaluated one-on-one-volunteer support following hospitalization, and the effects are inconsistent. As such, further, well-designed studies are needed. The suitability and transferability of the interventions in country-specific settings should be examined in feasibility studies. Furthermore, an international discussion on the appropriate theoretical backgrounds of volunteer training is needed.

Preserved physical fitness is associated with lower 1-year mortality in frail elderly patients with a severe comorbidity burden

Introduction

Physical deterioration in connection with a care episode is common. The aim of this study was, in frail elderly patients with a severe comorbidity burden, to analyze 1) the association between physical fitness measurements and 1-year mortality and 2) the association between preserved physical fitness during the first three months after discharge from emergency hospital care and 1-year prognosis.

Methods

Frail elderly patients (≥75 years) in need of inpatient emergency medical care were included. Aerobic capacity (six-minute walk test, 6MWT) and muscle strength (handgrip strength test, HS) were assessed during the hospital stay and at a three-month follow-up. The results were analyzed using multivariate Cox regression; 1) 0–12-month analysis and 2) 0–3-month change in physical fitness in relation to 1-year mortality. The analyses were adjusted for age, gender, comorbidity and frailty.

Results

This study comprised 408 frail elderly hospitalized patients of whom 390 were evaluable (mean age 85.7 years, Charlson’s index mean 6.8). The three-month mortality was 11.5% and the 1-year mortality was 37.9%. After adjustments, the Cox-regression analysis showed that both 6MWT and HS were associated with 1-year mortality, HR_6MWT 3.31 (95% CI 1.89–5.78, p>0.001) and HR_HS 2.39 (95% CI 1.33–4.27, p=0.003). The 0–3-month change in the 6MWT and the HS were associated with 1-year mortality, where patients who deteriorated had a poorer prognosis than those with improved fitness, HR_6MWT 3.80 (95% CI 1.42–10.06, p=0.007) and HR_HS 2.21 (95% CI 1.07–4.58, p=0.032).

Conclusion

In frail elderly patients with a severe comorbidity burden, physical fitness in connection with emergency hospital care was independently associated with 1-year mortality. Moreover, a change in physical fitness during the first months after hospital care was important for the long-term prognosis. These results emphasize the importance of providing hospital care designed to prevent physical deterioration in frail elderly patients.