FRAIL-HF, a study to evaluate the clinical complexity of heart failure in nondependent older patients: rationale, methods and baseline characteristics

Kinesiophobia and associated variables in patients with heart failure

AIMS

Patients with heart failure (HF) can exhibit kinesiophobia, an excessive, debilitating, and irrational fear of movement. This study aimed to enhance the understanding of kinesiophobia in patients with HF by analysing associations with the following variables: musculoskeletal pain, quality of life, quality of sleep, functional capacity, disability, frailty, sex, and age.

METHODS AND RESULTS

In this cross-sectional study, 107 participants were included, with ages ranging from 28 to 97 years (57% men, mean age 73.18 ± 12.68 years). Multiple regression analyses were performed with all variables, including polynomial regressions for variables with a non-linear relationship. Kinesiophobia was significantly correlated (P < 0.01) with musculoskeletal pain, quality of life, quality of sleep, functional capacity, disability, and being at risk of frailty, while age and sex were not statistically significant. Frailty disability and musculoskeletal pain intensity were variables linearly associated with kinesiophobia, while quality of sleep and disability had a non-linear relationship with kinesiophobia.

CONCLUSION

Kinesiophobia needs to be evaluated and better understood in patients with HF to improve physical activity and exercise adherence. This study found that musculoskeletal pain intensity, quality of sleep, disability, and frailty risk have a significant association with kinesiophobia in patients with HF. Our results suggest multi-dimensional associations of kinesiophobia in patients with HF, which require further examination and understanding.

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.

Machine learning-based gait analysis to predict clinical frailty scale in elderly patients with heart failure

Aims

Although frailty assessment is recommended for guiding treatment strategies and outcome prediction in elderly patients with heart failure (HF), most frailty scales are subjective, and the scores vary among raters. We sought to develop a machine learning-based automatic rating method/system/model of the clinical frailty scale (CFS) for patients with HF.

Methods and results

We prospectively examined 417 elderly (≥75 years) with symptomatic chronic HF patients from 7 centres between January 2019 and October 2023. The patients were divided into derivation (n = 194) and validation (n = 223) cohorts. We obtained body-tracking motion data using a deep learning-based pose estimation library, on a smartphone camera. Predicted CFS was calculated from 128 key features, including gait parameters, using the light gradient boosting machine (LightGBM) model. To evaluate the performance of this model, we calculated Cohen's weighted kappa (CWK) and intraclass correlation coefficient (ICC) between the predicted and actual CFSs. In the derivation and validation datasets, the LightGBM models showed excellent agreements between the actual and predicted CFSs [CWK 0.866, 95% confidence interval (CI) 0.807-0.911; ICC 0.866, 95% CI 0.827-0.898; CWK 0.812, 95% CI 0.752-0.868; ICC 0.813, 95% CI 0.761-0.854, respectively]. During a median follow-up period of 391 (inter-quartile range 273-617) days, the higher predicted CFS was independently associated with a higher risk of all-cause death (hazard ratio 1.60, 95% CI 1.02-2.50) after adjusting for significant prognostic covariates.

Conclusion

Machine learning-based algorithms of automatically CFS rating are feasible, and the predicted CFS is associated with the risk of all-cause death in elderly patients with HF.

Trunk Control Test as a Main Predictor of the Modified Barthel Index Score at Discharge From Intensive Post-acute Stroke Rehabilitation: Results From a Multicenter Italian Study

OBJECTIVES

To verify whether trunk control test (TCT) upon admission to intensive inpatient post-stroke rehabilitation, combined with other confounding variables, is independently associated with discharge mBI.

DESIGN

Multicentric retrospective observational cohort study.

SETTING

Two Italian inpatient rehabilitation units.

PARTICIPANTS

A total of 220 post-stroke adult patients, within 30 days from the acute event, were consecutively enrolled.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURE

The outcome measure considered was the modified Barthel Index (mBI), one of the most widely recommended tools for assessing stroke rehabilitation functional outcomes.

RESULTS

All variables collected at admission and significantly associated with mBI at discharge in the univariate analysis (TCT, mBI at admission, pre-stroke modified Rankin Scale [mRS], sex, age, communication ability, time from the event, Cumulative Illness Rating Scale, bladder catheter, and pressure ulcers) entered the multivariate analysis. TCT, mBI at admission, premorbid disability (mRS), communication ability and pressure ulcers (P<.001) independently predicted discharge mBI (adjusted R2=68.5%). Concerning the role of TCT, the model with all covariates and without TCT presented an R2 of 65.1%. On the other side, the model with the TCT only presented an R2 of 53.1%. Finally, with the inclusion of both TCT and all covariates, the model showed an R2 increase up to 68.5%.

CONCLUSIONS

TCT, with other features suggesting functional/clinical complexity, collected upon admission to post-acute intensive inpatient stroke rehabilitation, independently predicted discharge mBI.

Factors associated with poor health literacy in older adults: A systematic review

OBJECTIVES

To identify factors associated with poor health literacy in older adults.

METHODS

A systematic literature review was conducted, employing the descriptors "Aged" and "Health Literacy".

PROSPERO - CRD

42022350140.

RESULTS

Out of 23,500 articles screened, 176 were selected. Several factors associated with poor health literacy in older adults were identified, such as sociodemographic (e.g., advanced age, low educational level, non-white population, and others), social (e.g., poor family/social support, loneliness, social isolation, few social activities, and others), economic (e.g., lower income and/or lower socioeconomic status) and health aspects (e.g., poor health, chronic conditions, mental health challenges, hospitalizations, frailty, physical inactivity, cognitive impairment, and others).

CONCLUSIONS

The factors associated with poor health literacy in older adults identified in this review could contribute to future research, support interventions to improve health literacy, and assist professionals in planning educational activities and public policies.

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.

Predicting mortality and re-hospitalization for heart failure: a machine-learning and cluster analysis on frailty and comorbidity

BACKGROUND

Machine-learning techniques have been recently utilized to predict the probability of unfavorable outcomes among elderly patients suffering from heart failure (HF); yet none has integrated an assessment for frailty and comorbidity. This research seeks to determine which machine-learning-based phenogroups that incorporate frailty and comorbidity are most strongly correlated with death or readmission at hospital for HF within six months following discharge from hospital.

METHODS

In this single-center, prospective study of a tertiary care center, we included all patients aged 65 and older discharged for acute decompensated heart failure. Random forest analysis and a Cox multivariable regression were performed to determine the predictors of the composite endpoint. By k-means and hierarchical clustering, those predictors were utilized to phenomapping the cohort in four different clusters.

RESULTS

A total of 571 patients were included in the study. Cluster analysis identified four different clusters according to frailty, burden of comorbidities and BNP. As compared with Cluster 4, we found an increased 6-month risk of poor outcomes patients in Cluster 1 (very frail and comorbid; HR 3.53 [95% CI 2.30-5.39]), Cluster 2 (pre-frail with low levels of BNP; HR 2.59 [95% CI 1.66-4.07], and in Cluster 3 (pre-frail and comorbid with high levels of BNP; HR 3.75 [95% CI 2.25-6.27])).

CONCLUSIONS

In older patients discharged for ADHF, the cluster analysis identified four distinct phenotypes according to frailty degree, comorbidity, and BNP levels. Further studies are warranted to validate these phenogroups and to guide an appropriate selection of personalized, model of care.

Which frailty tool best predicts morbidity and mortality in ambulatory patients with heart failure? A prospective study

BACKGROUND

Frailty is common in patients with heart failure (HF) and is associated with adverse outcome, but it is uncertain how frailty should best be measured.

OBJECTIVES

To compare the prognostic value of commonly-used frailty tools in ambulatory patients with HF.

METHODS AND RESULTS

We assessed, simultaneously, three screening tools [clinical frailty scale (CFS); Derby frailty index (DFI); acute frailty network (AFN) frailty criteria), three assessment tools (Fried criteria; Edmonton frailty score (EFS); deficit index (DI)) and three physical tests (handgrip strength, timed get-up-and-go test (TUGT), 5-metre walk test (5MWT)] in consecutive patients with HF attending a routine follow-up visit. 467 patients (67% male, median age = 76 years, median NT-proBNP = 1156 ng/L) were enrolled. During a median follow-up of 554 days, 82 (18%) patients died and 201 (43%) patients were either hospitalised or died. In models corrected for age, Charlson score, haemoglobin, renal function, sodium, NYHA, atrial fibrillation (AF), and body mass index, only log[NT-proBNP] and frailty were independently associated with all-cause death. A base model for predicting mortality at 1 year including NYHA, log[NT-proBNP], sodium and AF, had a C-statistic = 0.75. Amongst screening tools: CFS (C-statistic = 0.84); amongst assessment tools: DI (C-statistic = 0.83) and amongst physical test: 5MWT (C-statistic = 0.80), increased model performance most compared with base model (P <0.05 for all).

CONCLUSION

Frailty is strongly associated with adverse outcomes in ambulatory patients with HF. When added to a base model for predicting mortality at 1 year including NYHA, NT-proBNP, sodium, and AF, CFS provides comparable prognostic information with assessment tools taking longer to perform.

Canadian Cardiovascular Society-Canadian Heart Failure Society Focused Clinical Practice Update of Patients With Differing Heart Failure Phenotypes

A number of societies produce heart failure (HF) management guidelines, comprising official recommendations on the basis of recent research discoveries, but their applicability to specific situations encountered in daily practice might be difficult. In this clinical practice update we aim to provide responses to fundamental questions that face health care providers, like appropriate timing for the introduction and optimization of different classes of medication according to specific patient phenotypes, when second-line therapies and valvular interventions should be considered, and management of difficult clinical scenarios such as cardiorenal syndrome and frailty. A consensus-based methodology was used. Approaches to 5 different phenotypes are presented: (1) The wet HF phenotype is the easiest to manage, decongestion being performed alongside introduction of guideline-directed medical therapy (GDMT); (2) The de novo HF phenotype requires the introduction of the 4 pillars of GDMT, personalizing the order on the basis of the individuals' biological and physiological characteristics; (3) The worsening HF phenotype is a marker of poor prognosis, and therefore should motivate optimization of GDMT, start second-line therapies, and/or reevaluate goals of care/advanced HF therapies; (4) The cardiorenal phenotypes require correct volume assessment, because renal function usually improves with decongestion; and (5) The frail HF phenotype require special attention, careful drug titration, and consideration of cardiac rehabilitation programs. In conclusion, specific common HF phenotypes call for a personalized approach to improve adoption of the HF guidelines into clinical practice.

Telerehabilitation in patients with recent hospitalisation due to acute decompensated heart failure: protocol for the Tele-ADHF randomised controlled trial

BACKGROUND

Cardiac rehabilitation in patients with chronic heart failure (CHF) has favourable effects on exercise capacity, the risk at hospital (re-)admission and quality of life. Although cardiac rehabilitation is generally recommended it is still under-utilised in daily clinical practice, particularly in frail elderly patients after hospital admission, mainly due to low referral and patient-related barriers. Cardiac telerehabilitation (CTR) has the potential to partially solve these barriers. The purpose of this study is to evaluate the effects of CTR as compared to standard remote care after hospital admission on physical functional capacity in CHF patients.

METHODS

In this randomised controlled trial, 64 CHF patients will be recruited during hospitalisation for acute decompensated heart failure, and randomised to CTR combined with remote patient management (RPM) or RPM alone (1:1). All participants will start with RPM after hospital discharge for early detection of deterioration, and will be up titrated to optimal medical therapy before being randomised. CTR will start after randomisation and consists of an 18-week multidisciplinary programme with exercise training by physical and occupational therapists, supported by a (remote) technology-assisted dietary intervention and mental health guiding by a physiologist. The training programme consists of three centre-based and two home-based video exercise training sessions followed by weekly video coaching. The mental health and dietary programme are executed using individual and group video sessions. A wrist-worn device enables remote coaching by the physical therapist. The web application is used for promoting self-management by the following modules: 1) goal setting, 2) progress tracking, 3) education, and 4) video and chat communication. The primary outcome measure is physical functional capacity evaluated by the Short Physical Performance Battery (SPPB) score. Secondary outcome measures include frailty scoring, recovery after submaximal exercise, subjective health status, compliance and acceptance to the rehabilitation programme, and readmission rate.

DISCUSSION

The Tele-ADHF trial is the first prospective randomised controlled trial designed for evaluating the effects of a comprehensive combined RPM and CTR programme in recently hospitalised CHF patients. We hypothesize that this intervention has superior effects on physical functional capacity than RPM alone.

TRIAL REGISTRATION

Netherlands Trial Registry (NTR) NL9619, registered 21 July 2021.

Positive affect as a predictor of non-pharmacological adherence in older Chronic Heart Failure (CHF) patients undergoing cardiac rehabilitation

In Chronic Heart Failure (CHF) patients, psychological and cognitive variables and their association with treatment adherence have been extensively reported in the literature, but few are the investigations in older people. The present study aimed to evaluate the psychological, cognitive, and adherence to treatment profile of older (>65 years) CHF patients, the interrelation between these variables, and identify possible independent predictors of self-reported treatment adherence. CHF inpatients undergoing cardiac rehabilitation were assessed for: anxiety, depression, cognitive impairment, positive and negative affect, and self-reported adherence (adherence antecedents, pharmacological adherence, and non-pharmacological adherence). 100 CHF inpatients (mean age: 74.9 ± 7.1 years) were recruited. 16% of patients showed anxiety and 24.5% depressive symptoms; 4% presented cognitive decline. Cognitive functioning negatively correlated to depression, anxiety, and negative affect (p < 0.01). The adherence antecedents (disease acceptance, adaptation, knowledge, and socio-familiar support) negatively correlated to anxiety (p < 0.05), depression (p < 0.001), and negative affect (p < 0.05), while they positively correlated to positive affect (p < 0.01). Pharmacological adherence negatively correlated to anxiety and negative affect (p < 0.05). Conversely, non-pharmacological adherence and positive affect positively correlated (p < 0.05). Furthermore, depression and anxiety negatively predicted adherence antecedents (β = -0.162, p = 0.037) and pharmacological adherence (β = -0.171, p = 0.036), respectively. Finally, positive affect was found as an independent predictor of non-pharmacological adherence (β = 0.133, p = 0.004). In cardiac rehabilitation, a specific psychological assessment focused on anxiety, depression, and affect can provide useful information to manage CHF older patients' care related to treatment adherence. In particular, positive affect should be targeted in future interventions to foster patients' non-pharmacological adherence.

Exploring the factors associated with decreased dynamic balance ability in older patients with heart failure

BACKGROUND

Older patients with heart failure (HF) have a higher prevalence of frailty and poorer dynamic balance ability than other community-dwelling older adults. However, the association of frailty and other clinical characteristics with dynamic balance ability in these patients remains unclear.

OBJECTIVES

We aimed to determine the clinical characteristics associated with decreased dynamic balance ability in older patients with HF.

METHODS

This observational study included patients aged ≥65 years who could walk independently and were admitted to our university hospitals to undergo a cardiac rehabilitation. The timed up and go test (TUG) was used to evaluate dynamic balance ability. Pearson's and Spearman's correlation analyses were performed to determine the relationships between TUG scores and clinical characteristics. A multiple regression model based on the forced entry method was used to determine independent predictors of TUG scores.

RESULTS

Of the 183 participants in this study (94 women; mean age, 82.5 ± 8.1 years), 116 (61.7%) had frailty. Pearson's and Spearman's correlation analyses revealed that age, frailty, sex, knee extensor muscle strength, maximum calf circumference, and Mini-Mental State Examination-Japanese version (MMSE-J) score were significantly correlated with TUG score (p < 0.001). Further, multiple regression analysis showed that age (p < 0.001), frailty (p = 0.041), knee extensor muscle strength (p = 0.002), and MMSE-J score (p = 0.048) were independent predictors of TUG scores.

CONCLUSION

Multiple factors, including age, frailty, knee extensor muscle weakness, and cognitive function impairment are independently associated with decreased dynamic balance ability in older patients with HF.

Frailty and Hospitalization Burden in Patients With Chronic Heart Failure

Frailty is associated with increased mortality and hospitalizations in patients with heart failure (HF). However, there is little evidence regarding the burden of morbidity. In this study, we aimed to assess the association between frailty and recurrent all-cause HF hospitalizations in patients with stable chronic HF. This was an observational and prospective study that enrolled HF outpatients followed in a specialized HF unit of a single tertiary care center from 2017 to 2019. Frailty was assessed by Fried criteria. Robustness, prefrailty, and frailty were defined as 0, 1 to 2, and ≥3, respectively. The independent association between frailty status and recurrent hospitalizations was assessed through Famoye's bivariate Poisson regression model, and risk estimates were expressed as incidence rate ratios (IRR). A total of 277 patients were included. The mean age was 74 ± 10 years, 118 were women (42.6%), and 131 patients (47.3%) had left ventricular ejection fraction ≥50. According to Fried's score 61 patients (22%) were robust, 95 patients (34%) were prefrail, and 121 patients (44%) were frail. After a median follow-up of 2.21 (1.6 to 2.8) years, 52 patients (19%) died. We registered 348 all-cause hospitalizations in 144 patients (52%) and 178 HF hospitalizations in 108 patients (39%). Compared with robust patients, frailty was associated with a higher risk of all-cause and HF recurrent hospitalizations in multivariable analysis (IRR 2.01, 95% confidence interval 1.14 to 3.57, p = 0.017 and IRR 2.25, 95% confidence interval 1.16-4.36, p = 0.016, respectively). In conclusion, in patients with chronic HF, frailty identifies patients with an increased risk of total and recurrent all-cause and HF hospitalizations.

The prevalence of frailty and pre-frailty among geriatric hospital inpatients and its association with economic prosperity and healthcare expenditure: A systematic review and meta-analysis of 467,779 geriatric hospital inpatients

BACKGROUND

Frailty is a common and clinically significant condition among geriatric populations. Although well-evidenced pooled estimates of the prevalence of frailty exist within various settings and populations, presently there are none assessing the overall prevalence of frailty among geriatric hospital inpatients. The purpose of this review was to systematically search and analyse the prevalence of frailty among geriatric hospital inpatients within the literature and examine its associations with national economic indicators.

METHODS

Systematic searches were conducted on Ovid, Web of Science, Scopus, CINAHL Plus, and the Cochrane Library, encompassing all literature published prior to 22 November 2018, supplemented with manual reference searches. Included studies utilised a validated operational definition of frailty, reported the prevalence of frailty, had a minimum age ≥ 65 years, attempted to assess the whole ward/clinical population, and occurred among hospital inpatients. Two reviewers independently extracted data and assessed study quality.

RESULTS

Ninety-six studies with a pooled sample of 467,779 geriatric hospital inpatients were included. The median critical appraisal score was 8/9 (range 7-9). The pooled prevalence of frailty, and pre-frailty, among geriatric hospital inpatients was 47.4% (95% CI 43.7-51.1%), and 25.8% (95% CI 22.0-29.6%), respectively. Significant differences were observed in the prevalence of frailty stratified by age, prevalent morbidity, ward type, clinical population, and operational definition. No significant differences were observed in stratified analyses by sex or continent, or significant associations between the prevalence of frailty and economic indicators.

CONCLUSIONS

Frailty is highly prevalent among geriatric hospital inpatients. High heterogeneity exists within this setting based on various clinical and demographic characteristics. Pooled estimates reported in this review place the prevalence of frailty among geriatric hospital inpatients between that reported for community-dwelling older adults and older adults in nursing homes, outlining an increase in the relative prevalence of frailty with progression through the healthcare system.

Spanish Version of the Caregiver Contribution to Self-Care of Heart Failure Index (CC-SCHFI): A Psychometric Evaluation

BACKGROUND

The Caregiver Contribution to Self-Care of Heart Failure (CC-SCHFI) is a theoretically driven instrument to measure the extent to which caregivers support heart failure (HF) patients to perform self-care. The CC-SCHFI measures caregivers' contribution to self-care maintenance and self-care management and caregiver confidence in contributing to heart failure patients' self-care. To date, the CC-SCHFI has never been tested in Spanish-speaking populations.

PURPOSE

To translate the CC-SCHFI from English into Spanish and to test its psychometric characteristics.

METHOD

CC-SCHFI translation and back-translation were performed according to the Beaton et al. methodology. Data from a cross-sectional study conducted in an outpatient clinic in Spain were used for the analysis. Psychometric analysis was performed with exploratory factor analysis (EFA) with oblique rotation.

RESULTS

Caregivers had a mean age of 60.5 years (SD 14,9) and the majority were female (85%). Data from 220 caregivers were analyzed. From EFA, using the principal axis factoring method, we extracted two factors in the self-care maintenance subscale ("treatment adherence behaviors" and "symptom control and maintenance behaviors"), two in the self-care monitoring subscale ("illness behaviors" and "prevention behaviors") and one factor for the self-efficacy subscale. The Pearson's rank correlation coefficients between SCHFI and CCSCHFI showed significant correlation in each subdimension.

Frailty is associated with 90-day unplanned readmissions and death in patients with heart failure: A longitudinal study in China

BACKGROUND

Frailty has been reported to be significantly associated with adverse health outcomes in people with heart failure (HF).

OBJECTIVES

To explore the potential effects of frailty on unplanned readmissions and death in people with HF patients aged 18 years or older.

METHODS

342 HF patients aged 18 years or older from the heart centers of two different tertiary care hospitals located in northwest of China were enrolled between July and December 2020. Frailty was assessed by the Tilburg Frailty Indicator. The patients were followed for unplanned readmissions, and all-cause mortality at 30, 60, as well as 90 days after discharge. Multivariate cox regression models were used to analyze the effects of frailty on 90-day unplanned readmission and death in the patients with HF.

RESULTS

Frailty prevalence was 54.7% among 342 HF patients, with a mean age of 64.65 ± 11.90 years. It was found that compared to non-frailty HF patients, the frailty HF patients were older and displayed higher systolic blood pressure, longer duration of HF, more severe cognitive function, and more comorbidities (P < 0.05). On the contrary, the patients in the frail group had a higher incidence of unplanned readmission (73.1% vs. 26.9%, χ2 = 18.87, P < 0.01) and death (100% vs. 0%, χ2 = 6.94, P < 0.01) than those in the non-frail group. Multivariate cox regression analysis showed that frailty could serve as an independent risk factor for 90-day unplanned readmission (HR = 1.469, 95% CI 1.318-1.637, P < 0.01) and 90-day death (HR=2.270, 95% CI 1.091-4.726, P < 0.01) in the patients with HF.

CONCLUSION

Frailty can act as an independent predictor of unplanned readmission and death 90-day after discharge in HF patients aged 18 years or older.

Physical, Psychological and Social Frailty Are Predictive of Heart Failure: A Cross-Sectional Study

Background: Little is known about frailty among patients hospitalized with heart failure (HF). To date, the limited information on frailty in HF is based on a unidimensional view of frailty, in which only physical aspects are considered when determining frailty. The aims of this study were to study different dimensions of frailty (physical, psychological and social) in patients with HF and the effect of different dimensions of frailty on the incidence of heart failure. Methods: The study used a cross-sectional design and included 965 patients hospitalized for heart failure and 164 healthy controls. HF was defined according to the ESC guidelines. The Tilburg Frailty Indicator (TFI) was used to assess frailty. Probit regression analyses and chi-square statistics were used to examine associations between the occurrence of heart failure and TFI domains of frailty. Results: Patients diagnosed with frailty were 15.3% more likely to develop HF compared to those not diagnosed with frailty (p < 0.001). An increase in physical, psychological and social frailty corresponded to an increased risk of HF of 2.9% (p < 0.001), 4.4% (p < 0.001) and 6.6% (p < 0.001), respectively. Conclusions: We found evidence of the association between different dimensions of frailty and incidence of HF.

The relationship between frailty syndrome and self-care ability in the elderly with heart failure

BACKGROUND

Identification of frailty syndrome in patients with heart failure can affect the process of the disease and their ability to self-care. Considering the lack of a study on the relationship between frailty syndrome and self-care ability in the elderly with heart failure in the Guilan province, the North of Iran, this study was conducted to determine the relationship between fertility syndrome and self-care ability in these patients.

MATERIALS AND METHODS

The present cross-sectional correlational study was conducted in 2020. Research settings were the CCU and post CCU wards in the East Guilan public hospitals. The sample size was 125 people who were selected by the convenience sampling method. The research tools include; Self-Care Heart Failure Index and Tilburg Frailty Index Questionnaires. Data were analyzed using SPSS software version 20 using descriptive and inferential statistics with a significance level of 0.05.

RESULTS

The results showed that the mean score of frailty syndrome in the elderly with heart failure was 5.44 ± 2.47. In addition, the mean score of self-care in the elderly with heart failure was 67.16 ± 10.96. There was a significant and negative correlation between frailty syndrome and the ability to care in the elderly with heart failure (P < 0.001, r = -0.358).

CONCLUSIONS

According to the results, the elderly with fragility syndrome cannot take good care of themselves. This indicates that in the management of heart failure, the assessment of frailty syndrome as a care/treatment goal in the care programs of these patients should be considered.

The poorly conducted orchestra of steroid hormones, oxidative stress and inflammation in frailty needs a maestro: Regular physical exercise

This review outlines the various factors associated with unhealthy aging which includes becoming frail and dependent. With many people not engaging in recommended exercise, facilitators and barriers to engage with exercise must be investigated to promote exercise uptake and adherence over the lifespan for different demographics, including the old, less affluent, women, and those with different cultural-ethnic backgrounds. Governmental and locally funded public health messages and environmental facilitation (gyms, parks etc.) can play an important role. Studies have shown that exercise can act as a conductor to balance oxidative stress, immune and endocrine functions together to promote healthy aging and reduce the risk for age-related morbidities, such as cardiovascular disease and atherosclerosis, and promote cognition and mood over the lifespan. Like a classic symphony orchestra, consisting of four groups of related musical instruments - the woodwinds, brass, percussion, and strings - the aging process should also perform in harmony, with compassion, avoiding the aggrandizement of any of its individual parts during the presentation. This review discusses the wide variety of molecular, cellular and endocrine mechanisms (focusing on the steroid balance) underlying this process and their interrelationships.

Control of blood pressure in older patients with heart failure and the risk of mortality: a population-based prospective cohort study

BACKGROUND

treatment goals for blood pressure (BP) lowering in older patients with heart failure (HF) are unclear.

OBJECTIVE

to assess whether BP control < 140/90 mmHg is associated with a decreased risk of mortality in older HF patients.

DESIGN

population-based prospective cohort study.

SETTING/SUBJECTS

participants of the Berlin Initiative Study, a prospective cohort of community-dwelling older adults launched in 2009. Clinical information was obtained in face-to-face interviews and linked to administrative healthcare data.

METHODS

Cox proportional hazards models estimated adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) of cardiovascular death and all-cause mortality associated with normalised BP (systolic BP < 140 mmHg and diastolic BP < 90 mmHg) compared with non-normalised BP (systolic BP ≥ 140 mmHg or diastolic BP ≥ 90 mmHg) in HF patients. The primary analysis considered only baseline BP ('time-fixed'); an additional analysis updated BP during follow-up ('time-dependent').

RESULTS

at baseline, 544 patients were diagnosed with HF and treated with antihypertensive drugs (mean age 82.8 years; 45.4% female). During a median follow-up of 7.5 years and compared with non-normalised BP, normalised BP was associated with similar risks of cardiovascular death (HR, 1.24; 95% CI, 0.84-1.85) and all-cause mortality (HR, 1.16; 95% CI, 0.89-1.51) in the time-fixed analysis but with increased risks of cardiovascular death (HR, 1.79; 95% CI, 1.23-2.61) and all-cause mortality (HR, 1.48; 95% CI, 1.15-1.90) in the time-dependent analysis.

CONCLUSIONS

BP control < 140/90 mmHg was not associated with a decreased risk of mortality in older HF patients. The increased risk in the time-dependent analysis requires further corroboration.

Association between frailty and ischemic heart disease: a systematic review and meta-analysis

Background

Frailty is increasingly reported among older adults with cardiovascular diseases and it has been demonstrated to increase negative health outcomes and mortality. To date, no systematic review of the evidence is available regarding the association between frailty and ischemic heart disease (IHD). We performed a systematic review of literature and a meta-analysis to assess the association between frailty and IHD.

Methods

We selected all the studies that provided information on the association between frailty and IHD, regardless of the study setting, study design, or definition of IHD and frailty. PubMed, Web of Science and Embase were searched for relevant papers. Studies that adopted the Fried definition for frailty were included in the meta-analyses. For each measure of interest (proportions and estimates of associations), a meta-analysis was performed if at least three studies used the same definition of frailty. Pooled estimates were obtained through random effect models and Mantel-Haenszel weighting.

Results

Thirty-seven studies were included. Of these, 22 adopted the Fried criteria to define frailty and provided estimates of prevalence and therefore they were included in meta-analyses. The pooled prevalence of IHD in frail individuals was 17% (95% Confidence Interval [95%CI] 11–23%) and the pooled prevalence of frailty in individuals with IHD was 19% (95% CI 15–24%). The prevalence of frailty among IHD patients ranged from 4 to 61%. Insufficient data were found to assess longitudinal association between frailty and IHD.

Conclusions

Frailty is quite common in older persons with IHD. The identification of frailty among older adults with IHD should be considered relevant to provide individualized strategies of cardiovascular prevention and care. Further research should specifically explore the association between frailty and IHD and investigate the potential common biological ground.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-021-02304-9.

Comprehensive geriatric assessment in elderly and senile patients with cardiovascular diseases. Expert opinion of the Russian Association of Gerontologists and Geriatricians

Senile asthenia syndrome (SAS) is a geriatric syndrome characterized by age-associated decline of the physiological reserve and function in multiple systems, which results in higher vulnerability to effects of endo- and exogenous factors and a high risk of unfavorable outcomes, loss of self-sufficiency, and death. Generally, SAS is observed in elderly patients with comorbidities. In cardiovascular diseases, SAS is associated with a poor prognosis, including a higher incidence of exacerbation and death both during acute events and in chronic disease. However, SAS is often not taken into account in developing diagnostic and therapeutic programs for managing elderly patients with cardiovascular diseases (CVD). This article analyzes available scientific information about SAS, algorithms for SAS diagnosis, and the scales that may be useful in developing individual plans for management of elderly patients with CVD.

Frailty implications for exercise participation and outcomes in patients with heart failure

BACKGROUND/OBJECTIVES

Frailty is common in people with heart failure (HF) and associated with poorer outcomes. The aim of this study was to describe the characteristics, exercise participation, and outcomes of frail and not-frail participants enrolled in a randomized trial of exercise training (ET) within a cardiac rehabilitation (CR) program.

DESIGN

Secondary analysis of EJECTION-HF randomized trial (ACTRN12608000263392).

SETTING

Five HF-specific CR programs in Queensland, Australia.

PARTICIPANTS

Adults recently hospitalized with HF.

INTERVENTION

All participated in CR including home exercise prescription and monitoring; half were randomized to center-based ET.

MEASUREMENTS

A frailty index (FI) was constructed at randomization and 6-month follow-up. Outcomes included ET attendance, change in 6-min walk distance (6MWD), improved FI (>0.09 units) at 6 months, achieving physical activity (PA) guidelines at 6 months, and 12 month all-cause death or readmission.

RESULTS

The FI was measured in 256 participants at randomization: 110 (43%) were not-frail (FI 0.2 or less), 119 (46%) were frail (FI >0.2 to 0.39), and 27 (11%) were very frail (FI ≥0.4). Frailty was more common with older age, female gender, decompensated HF, worse HF symptoms, and preserved ejection fraction. ET attendance did not differ by frailty group. Participants who were more frail had lower 6WMD at enrollment, but similar improvement over 6 months. Mean FI improved by 0.03 units at 6 months (95% CI 0.02-0.04, p < 0.001). Participants who were more frail had significantly greater improvements in FI compared with not-frail participants and were often able to achieve PA guidelines, both in intervention and control groups. Neither baseline frailty nor intervention was significantly associated with 12-month death or readmission.

CONCLUSION

Frail people with HF participating in CR that includes home and/or center-based ET often achieve PA guidelines, and some may have meaningful reductions in frailty.

Frailty, sarcopenia and cachexia in heart failure patients: Different clinical entities of the same painting

Heart Failure (HF) in elderly patients is a systemic syndrome where advanced age, comorbidities with organ system deterioration, frailty and impaired cognition significantly impact outcome. Cardiac cachexia, sarcopenia and frailty despite overlap in definitions are different clinical entities that frequently coexist in HF patients. However, these co-factors often remain unaddressed, resulting in poor quality-of-life, prolonged physical disability and exercise intolerance and finally with higher rehospitalization rates and mortality. Strategy aim to increase muscle mass and muscle strength and delay the occurrence of frailty state appear essential in this regard. Common HF drugs therapy (b-blockers, angiotensin-converting enzyme inhibitors) and prescription of physical exercise program remain the cornerstone of therapeutic approach in HF patients with new promising data regarding nutritional supplementation. However, the treatment of all these conditions still remain debated and only a profound knowledge of the specific mechanisms and patterns of disease progression will allow to use the appropriate therapy in a given clinical setting. For all these reasons we briefly review current knowledge on frailty, sarcopenia and cachexia in HF patients with the attempt to define clinically significant degrees of multiorgan dysfunction, specific "red alert" thresholds in clinical practice and therapeutic approach.

Health literacy and quality of life in hospitalized heart failure patients: a cross-sectional study

INTRODUCTION

Heart Failure (HF) treatment may be improved by good knowledge of the disease (Health Literacy) that, despite the well-established role on improving self-care, preventing complications and avoiding worse outcomes, has little evidence on affecting QoL of HF patients. Therefore, the objective of the present study was to evaluate the impact of Health Literacy on QoL in hospitalized HF patients.

METHODOLOGY

A cross-sectional exploratory study was conducted with HF patients hospitalized at a public cardiological hospital. Health Literacy was assessed using the "Questionnaire about Heart Failure Patients' Knowledge of Disease" and QoL using the "Minnesota Living with Heart Failure Questionnaire" (MLHFQ). The association between Health Literacy and QoL was assessed by linear regression (P<0.05).

RESULTS

50 patients were included in the study; the mean Health Literacy score was 34.2 ± 15.1 (the majority presenting acceptable or better knowledge). The mean MLHFQ score was 73.5 ± 19.8. The one-year hospital readmission rate (β=+3.8; P=0.009) and the patients' Health Literacy score (β=-0.4; P=0.024) or good knowledge category (β=-20.2; P=0.016) were independently associated with QoL.

CONCLUSION

While the readmission rate was inversely associated with QoL, the better the HF knowledge the better QoL in hospitalized HF patients.

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.

PRIME-HF: Novel Exercise for Older Patients with Heart Failure. A Pilot Randomized Controlled Study

OBJECTIVES

To test the hypothesis that (1) older patients with heart failure (HF) can tolerate COMBined moderate-intensity aerobic and resistance training (COMBO), and (2) 4 weeks of Peripheral Remodeling through Intermittent Muscular Exercise (PRIME) before 4 weeks of COMBO will improve aerobic capacity and muscle strength to a greater extent than 8 weeks of COMBO.

DESIGN

Prospective randomized parallel open-label blinded end point.

SETTING

Single-site Australian metropolitan hospital.

PARTICIPANTS

Nineteen adults (72.8 ± 8.4 years of age) with heart failure with reduced ejection fraction (HFrEF).

INTERVENTION

Participants were randomized to 4 weeks of PRIME or COMBO (phase 1). All participants subsequently completed 4 weeks of COMBO (phase 2). Sessions were twice a week for 60 minutes. PRIME is a low-mass, high-repetition regime (40% one-repetition maximum [1RM], eight strength exercises, 5 minutes each). COMBO training involved combined aerobic (40%-60% of peak aerobic capacity [VO2peak ], up to 20 minutes) and resistance training (50-70% 1RM, eight exercises, two sets of 10 repetitions).

MEASUREMENTS

We measured VO2peak , VO2 at anaerobic threshold (AT), and muscle voluntary contraction (MVC).

RESULTS

The PRIME group significantly increased VO2peak after 8 weeks (2.4 mL/kg/min; 95% confidence interval [CI] = .7-4.1; P = .004), whereas the COMBO group showed minimal change (.2; 95% CI -1.5 to 1.8). This produced a large between-group effect size of 1.0. VO2 at AT increased in the PRIME group (1.6 mL/kg/min; 95% CI .0-3.2) but not in the COMBO group (-1.2; 95% CI -2.9 to .4), producing a large between-group effect size. Total MVC increased significantly in both groups in comparison with baseline; however, the change was larger in the COMBO group (effect size = .6).

CONCLUSION

Traditional exercise approaches (COMBO) and PRIME improved strength. Only PRIME training produced statistically and clinically significant improvements to aerobic capacity. Taken together, these findings support the hypothesis that PRIME may have potential advantages for older patients with HFrEF and could be a possible alternative exercise modality.

Anabolism to Catabolism: Serologic Clues to Nutritional Status in Heart Failure

PURPOSE OF REVIEW

Malnutrition, sarcopenia, and cachexia are areas of increasing interest in the management of patients with heart failure (HF). This review aims to examine the serological markers useful in guiding the physician in identification of these patients.

RECENT FINDINGS

Traditional nutritional biomarkers including albumin/prealbumin, iron, and vitamin D deficiencies predict poor prognosis in malnutrition and HF. Novel biomarkers including ghrelin, myostatin, C-terminal agrin fragment, and adiponectin have been identified as possible substrates and/or therapeutic targets in cardiac patients with sarcopenia and cachexia, though clinical trial data is limited to date. Increased focus on nutritional deficiency syndromes in heart failure has led to the use of established markers of malnutrition as well as the identification of novel biomarkers in the management of these patients, though to date, their usage has been confined to the academic domain and further research is required to establish their role in the clinical setting.

Natriuretic peptides for heart failure screening in nursing homes: a systematic review

The high burden of heart failure in nursing-home populations is due to advanced age and comorbidities. Heart failure is often undiagnosed or misdiagnosed in this population and therefore remains untreated. We review the use of natriuretic peptide biomarkers for screening heart failure in nursing-home residents. The study was performed in accordance with recommendations from the Cochrane Collaboration using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement (PRISMA) and is registered in PROSPERO Register of Systematic Reviews. Databases PubMed, Embase, and Trip were searched from 2000 to March 2019, supplemented by hand-searching of references. Studies investigating the nursing-home population were included. The prevalence of heart failure among nursing-home residents was higher than in the general population of comparable age (23% vs 10%, respectively). The rate of misdiagnosis in nursing homes ranged from 25 to 76%. NT-proBNP was the most commonly used natriuretic peptide biomarker for heart failure screening. The mean value of NT-proBNP was significantly higher in residents with heart failure than in residents overall (pooled means of 2409 pg/mL vs 1074 pg/mL, respectively). In comparison with current guidelines, the proposed cut-off values for ruling out heart failure were higher in the analyzed studies, with ranges of 230-760 pg/mL for NT-proBNP and 50-115 pg/mL for BNP. NT-proBNP and BNP are used for screening heart failure in the nursing-home population. The current screening cut-off values are probably too low for use in nursing homes. Our most conservative estimation for ruling out heart failure is an NT-proBNP cut-off value of 230 pg/mL.

Treatment of Cardiovascular Diseases Among Elderly Residents of Long-term Care Facilities

BACKGROUND

The prevalence of cardiovascular diseases among nursing home residents is high but little is known whether pharmacologic therapy recommended by actual medication guidelines is followed by facility's staff.

AIM

To evaluate the adherence to actual guidelines for treatment of cardiovascular diseases among older adult residents of long-term care (LTC) facilities.

MATERIAL AND METHODS

The cross-sectional study was performed from December 2009 to November 2010 among 189 elderly residents aged ≥60 years in 3 LTC facilities in Poland: 1 long-term care hospital (LTCH) and 2 nursing homes (NHs). The initial evaluation included analysis of medical documentation (all diagnosed diseases and used drugs), blood pressure (BP) measurements and performance of Mini Nutritional Assessment Short-Form (MNA-SF), Abbreviated Mental Test Score (AMTS), Activities of Daily Living (ADL) score, and Barthel Index. Prescribed medication for hypertension (HT), heart failure (HF), and coronary heart disease (CHD) were compared to current European Cardiology Society (ESC), and European Society of Hypertension (ESH) medication guidelines. Residents were divided into 3 subgroups: with HT, HF, and CHD. Results were presented as means and standard deviation. Groups were compared using Mann-Whitney U test for nonparametric data and chi-square test to assess differences in distribution of categorical variables. P values <.05 were considered statistically significant.

RESULTS

CHD was diagnosed among 114 residents (60.3%) but only 60.5% of them were treated with aspirin (ASA), 45.6% with beta-blockers (BBs), 60.5% with angiotensin-converting enzyme inhibitor (ACEI), and 24.6% with statins. HF observed in 75% of cases was treated by using ACEI (54.7%), BBs (45.3%), loop diuretics (LDs, 36%), mineralocorticoid-receptor antagonists (MRAs, 21.3%). HT was diagnosed among 98 study participants (51.9%) and in the majority of cases (76.6%) was well controlled (mean BP: 133.7 ± 17.6/73.8 ± 10.2 mmHg). The most popular antihypertensive drugs were ACEIs (77.6%), BBs (40.8%) and calcium channel blockers (CCBs, 26.5%) whereas thiazides, alpha-blockers (ABs), and angiotensin receptor blockers (ARBs) were used less frequently.

CONCLUSION

In summary, the study showed that insufficient treatment of cardiovascular diseases among elderly residents of LTC facilities could be a potential risk factor of poor prognosis.

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.

Key elements of interventions for heart failure patients with mild cognitive impairment or dementia: A systematic review

BACKGROUND

The purpose of this systematic review was to (a) examine the effects of interventions delivered by a heart failure professional for mild cognitive impairment and dementia on cognitive function, memory, working memory, instrumental activities of daily living, heart failure knowledge, self-care, quality of life and depression; and (b) identify the successful elements of these strategies for heart failure patients with mild cognitive impairment or dementia.

METHODS AND RESULTS

During March 2018, an electronic search of databases including CINAHL, MEDLINE, EMBASE and PsycINFO was conducted. All randomised controlled trials, which examined an intervention strategy to help heart failure patients with mild cognitive impairment or dementia cope with self-care, were included. An initial search yielded 1622 citations, six studies were included (N= 595 participants, mean age 68 years). There were no significant improvements in cognitive function and depression. However, significant improvements were seen in memory (p=0.015), working memory (p=0.029) and instrumental activities of daily living (p=0.006). Nurse led interventions improved the patient's heart failure knowledge (p=0.001), self-care (p<0.05) and quality of life (p=0.029). Key elements of these interventions include brain exercises, for example, syllable stacks, individualised assessment and customised education, personalised self-care schedule development, interactive problem-solving training on scenarios and association techniques to prompt self-care activities.

CONCLUSIONS

Modest evidence for nurse led interventions among heart failure patients with mild cognitive impairment or dementia was identified. These results must be interpreted with caution in light of the limited number of available included studies.

Coexisting Frailty With Heart Failure

People over 65 years of age constitute over 80% of patients with heart failure (HF) and the incidence of HF is 10 per 1,000 in people aged above 65 years. Approximately 25% of older patients with HF exhibit evidence of frailty. Frail patients with cardiovascular disease (CVD) have a worse prognosis than non-frail patients, and frailty is an independent risk factor for incident HF among older people. Planning the treatment of individuals with HF and concomitant frailty, one should consider not only the limitations imposed by frailty syndrome (FS) but also those associated with the underlying heart disease. It needs to be emphasized that all patients with HF and concomitant FS require individualized treatment.

Heart Failure and Problems with Frailty Syndrome: Why it is Time to Care About Frailty Syndrome in Heart Failure

Frailty syndrome (FS) is an independent predictor of mortality in cardiovascular disease and is found in 15–74% of patients with heart failure (HF). The syndrome has a complex, multidimensional aetiology and contributes to adverse outcomes. Proper FS diagnosis and treatment determine prognosis and support the evaluation of treatment outcomes. Routine FS assessment for HF patients should be included in daily clinical practice as an important prognostic factor within a holistic process of diagnosis and treatment. Multidisciplinary team members, particularly nurses, play an important role in FS assessment in hospital and primary care settings, and in the home care environment. Raising awareness of concurrent FS in patients with HF patients and promoting targeted interventions may contribute to a decreased risk of adverse events, and a better prognosis and quality of life.

The impact of biventricular heart failure on outcomes after transcatheter aortic valve implantation

AIMS

We sought to assess the impact of different manifestations of heart failure (HF) at baseline on the short- and long-term outcomes of transcatheter aortic valve implantation (TAVI) for aortic stenosis (AS).

METHODS AND RESULTS

Of 361 patients undergoing TAVI between May 2013 and April 2015, 185 (51%) showed clinical signs of HF at the time of admission. HF was diagnosed as isolated left ventricular (LV) and biventricular in 63 (34%) and 122 patients (66%), respectively. Acute device success (VARC-2) was achieved in 97% of patients without HF, in all patients with LV HF, and in 97% of patients with biventricular HF. Follow-up for a median of 427 days revealed significantly poorer survival in patients with biventricular HF (1-year estimate, 72.1% [95% confidence interval, 64.0-80.2%]) than in patients with LV HF (84.5% [75.2-93.8%]; p = 0.0203) or no HF (94.3% [90.7-97.9%]; p < 0.0001). Survival in the latter two patient subgroups was statistically not different. A diagnosis of biventricular HF was associated with a hazard ratio of 2.62 (p = 0.0089) vs. no HF in the likelihood of death; NT-proBNP and the logistic EuroSCORE were not significantly associated with survival. Half of all deaths in patients with biventricular HF occurred within 42 days of TAVI.

CONCLUSION

Biventricular HF is a strong predictor of mortality following TAVI for severe AS. AS in patients with LV HF should be treated without delay to avoid progression to biventricular HF. Patients with AS and biventricular HF should be monitored closely after TAVI to possibly prevent early death.

Recommendations of the Geriatric Cardiology Section of the Spanish Society of Cardiology for the Assessment of Frailty in Elderly Patients With Heart Disease

Frailty is an age-associated clinical syndrome characterized by a decrease in physiological reserve in situations of stress, constituting a state of vulnerability that involves a higher risk of adverse events. Its prevalence in Spain is high, especially in elderly individuals with comorbidity and chronic diseases. In cardiovascular disease, frailty is associated worse clinical outcomes and higher morbidity and mortality in all scenarios, in both acute and chronic settings, and could consequently influence diagnosis and treatment. However, frailty is often not addressed or included when planning the management of elderly patients with heart disease. In this article, we review the available scientific evidence and highlight the most appropriate scales for the measurement and assessment of frailty, some of which are more useful and have better predictive capacity than others, depending on the clinical context. We also underline the importance of properly identifying and assessing frailty in order to include it in the treatment and care plan that best suits each patient.

Continuity and utilization of health and community care in elderly patients with heart failure before and after hospitalization

BACKGROUND

The period after hospitalization due to deteriorated heart failure (HF) is characterized as a time of high generalized risk. The transition from hospital to home is often problematic due to insufficient coordination of care, leading to a fragmentation of care rather than a seamless continuum of care. The aim was to describe health and community care utilization prior to and 30 days after hospitalization, and the continuity of care in patients hospitalized due to de novo or deteriorated HF from the patients' perspective and from a medical chart review.

METHODS

This was a cross-sectional study with consecutive inclusion of patients hospitalized at a county hospital in Sweden due to deteriorated HF during 2014. Data were collected by structured telephone interviews and medical chart review and analyzed with the Spearman's rank correlation coefficient and Chi square. A P value of 0.05 was considered significant.

RESULTS

A total of 121 patients were included in the study, mean age 82.5 (±6.8) and 49% were women. Half of the patients had not visited any health care facility during the month prior to the index hospital admission, and 79% of the patients visited the emergency room (ER) without a referral. Among these elderly patients, a total of 40% received assistance at home prior to hospitalization and 52% after discharge. A total of 86% received written discharge information, one third felt insecure after hospitalization and lacked knowledge of which health care provider to consult with and contact in the event of deterioration or complications. Health care utilization increased significantly after hospitalization.

CONCLUSION

Most patients had not visited any health care facility within 30 days before hospitalization. Health care utilization increased significantly after hospitalization. Flaws in the continuity of care were found; even though most patients received written information at discharge, one third of the patients lacked knowledge about which health care provider to contact in the event of deterioration and felt insecure at home after discharge.

What do we know about frailty in the acute care setting? A scoping review

Background

The ability of acute care providers to cope with the influx of frail older patients is increasingly stressed, and changes need to be made to improve care provided to older adults. Our purpose was to conduct a scoping review to map and synthesize the literature addressing frailty in the acute care setting in order to understand how to tackle this challenge. We also aimed to highlight the current gaps in frailty research.

Methods

This scoping review included original research articles with acutely-ill Emergency Medical Services (EMS) or hospitalized older patients who were identified as frail by the authors. We searched Medline, CINAHL, Embase, PsycINFO, Eric, and Cochrane from January 2000 to September 2015.

Results

Our database search initially resulted in 8658 articles and 617 were eligible. In 67% of the articles the authors identified their participants as frail but did not report on how they measured frailty. Among the 204 articles that did measure frailty, the most common disciplines were geriatrics (14%), emergency department (14%), and general medicine (11%). In total, 89 measures were used. This included 13 established tools, used in 51% of the articles, and 35 non-frailty tools, used in 24% of the articles. The most commonly used tools were the Clinical Frailty Scale, the Frailty Index, and the Frailty Phenotype (12% each). Most often (44%) researchers used frailty tools to predict adverse health outcomes. In 74% of the cases frailty predicted the outcome examined, typically mortality and length of stay.

Conclusions

Most studies (83%) were conducted in non-geriatric disciplines and two thirds of the articles identified participants as frail without measuring frailty. There was great variability in tools used and more recently published studies were more likely to use established frailty tools. Overall, frailty appears to be a good predictor of adverse health outcomes. For frailty to be implemented in clinical practice frailty tools should help formulate the care plan and improve shared decision making. How this will happen has yet to be determined.

Electronic supplementary material

The online version of this article (10.1186/s12877-018-0823-2) contains supplementary material, which is available to authorized users.

Frailty syndrome and rehospitalizations in elderly heart failure patients

Background

Heart failure (HF) patients with frailty syndrome (FS) are at higher risk of falling, decreased mobility, ability to perform the basic activities of daily living, frequent hospitalizations, and death.

Aims

The purpose of this study was to evaluate the correlations between FS and hospital readmissions, and to assess which factors are associated with rehospitalizations.

Methods

The study included 330 patients with a mean age of 72.1 ± 7.9 years, diagnosed with HF. Frailty was measured using the Polish version of the Tilburg Frailty Indicator (TFI). Demographic, sociodemographic, and clinical data, such as the New York Heart Association (NYHA) functional class, ejection fraction (EF), number of rehospitalizations, and the medications taken, were obtained.

Results

Positive correlation was observed between the number of hospitalizations and FS. In the single-factor correlation analysis, treatment with diuretics, a higher NYHA class, and a lower left ventricular EF were predictors of a higher number of hospitalizations. Additionally, the physical and psychological components of the TFI, as well as the total TFI score, predisposed HF patients to more frequent hospitalizations.

Discussion

It seems that a deterioration of functional capabilities and an increase in symptom severity naturally lead to increased hospitalization frequency in HF. In the own study, regression analysis indicates that high NYHA classes and TFI social component scores are significant predictors of the number of hospitalizations in the studied group.

Conclusions

FS is highly prevalent among elderly HF patients. Higher frailty levels in elderly patients are a determinant of more frequent rehospitalizations in HF.

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

Heart failure and frailty are clinical syndromes that present with overlapping phenotypic characteristics. Importantly, their co-presence is associated with increased mortality and morbidity. While mechanical and electrical device therapies for heart failure are vital for select patients with advanced stage disease, the majority of patients and especially those with undiagnosed heart failure would benefit from early disease detection and prompt initiation of guideline-directed medical therapies. In this article, we review the problematic interactions between heart failure and frailty, introduce a focused cardiac screening program for community-living elderly initiated by a mobile communication device app leading to the Undiagnosed heart Failure in frail Older individuals (UFO) study, and discuss how the knowledge of pre-frailty and frailty status could be exploited for the detection of previously undiagnosed heart failure or advanced cardiac disease. The widespread use of mobile devices coupled with increasing availability of novel, effective medical and minimally invasive therapies have incentivized new approaches to heart failure case finding and disease management.

Editor's Choice - Frailty and the management of patients with acute cardiovascular disease: A position paper from the Acute Cardiovascular Care Association

Frailty is increasingly seen among patients with acute cardiovascular disease. A combination of an ageing population, improved disease survival, treatable long-term conditions as well as a greater recognition of the syndrome has accelerated the prevalence of frailty in the modern world. Yet, this has not been matched by an expansion of research. National and international bodies have identified acute cardiovascular disease in the frail as a priority area for care and an entity that requires careful clinical decisions, but there remains a paucity of guidance on treatment efficacy and safety, and how to manage this complex group. This position paper from the Acute Cardiovascular Care Association presents the latest evidence about frailty and the management of frail patients with acute cardiovascular disease, and suggests avenues for future research.

Frailty in Heart Failure: Implications for Management

Frailty is a complex clinical syndrome associated with ageing and chronic illness, resulting from multiple organ impairment; physiological reserves decrease and vulnerability to stressors increase. The role of frailty in cardiovascular disease has become increasingly recognised. Up to 79% of patients with heart failure are frail. Moreover, frailty is associated with a worse quality of life and poor prognosis. This review summarises the available literature on frailty in HF and highlights indications for its management.

Impact of Frailty and Disability on 30-Day Mortality in Older Patients With Acute Heart Failure

The objectives were to determine the impact of frailty and disability on 30-day mortality and whether the addition of these variables to HFRSS EFFECT risk score (FBI-EFFECT model) improves the short-term mortality predictive capacity of both HFRSS EFFECT and BI-EFFECT models in older patients with acute decompensated heart failure (ADHF) atended in the emergency department. We performed a retrospective analysis of OAK Registry including all consecutive patients ≥65 years old with ADHF attended in 3 Spanish emergency departments over 4 months. FBI-EFFECT model was developed by adjusting probabilities of HFRSS EFFECT risk categories according to the 6 groups (G1: non frail, no or mildly dependent; G2: frail, no or mildly dependent; G3: non frail, moderately dependent; G4: frail, moderately dependent; G5: severely dependent; G6: very severely dependent).We included 596 patients (mean age: 83 [SD7]; 61.2% females). The 30-day mortality was 11.6% with statistically significant differences in the 6 groups (p < 0.001). After adjusting for HFRSS EFFECT risk categories, we observed a progressive increase in hazard ratios from groups G2 to G6 compared with G1 (reference). FBI-EFFECT had a better prognostic accuracy than did HFRSS EFFECT (log-rank p < 0.001; Net Reclassification Improvement [NRI] = 0.355; p < 0.001; Integrated Discrimination Improvement [IDI] = 0.052; p ;< 0.001) and BI-EFFECT (log-rank p = 0.067; NRI = 0.210; p = 0.033; IDI = 0.017; p = 0.026). In conclusion, severe disability and frailty in patients with moderate disability are associated with 30-day mortality in ADHF, providing additional value to HFRSS EFFECT model in predicting short-term prognosis and establishing a care plan.