The prevalence of frailty in heart failure: A systematic review and meta-analysis

2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines

AIM

The "2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery" provides recommendations to guide clinicians in the perioperative cardiovascular evaluation and management of adult patients undergoing noncardiac surgery.

METHODS

A comprehensive literature search was conducted from August 2022 to March 2023 to identify clinical studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline.

STRUCTURE

Recommendations from the "2014 ACC/AHA Guideline on Perioperative Cardiovascular Evaluation and Management of Patients Undergoing Noncardiac Surgery" have been updated with new evidence consolidated to guide clinicians; clinicians should be advised this guideline supersedes the previously published 2014 guideline. In addition, evidence-based management strategies, including pharmacological therapies, perioperative monitoring, and devices, for cardiovascular disease and associated medical conditions, have been developed.

2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines

AIM

The "2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery" provides recommendations to guide clinicians in the perioperative cardiovascular evaluation and management of adult patients undergoing noncardiac surgery.

METHODS

A comprehensive literature search was conducted from August 2022 to March 2023 to identify clinical studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline.

STRUCTURE

Recommendations from the "2014 ACC/AHA Guideline on Perioperative Cardiovascular Evaluation and Management of Patients Undergoing Noncardiac Surgery" have been updated with new evidence consolidated to guide clinicians; clinicians should be advised this guideline supersedes the previously published 2014 guideline. In addition, evidence-based management strategies, including pharmacological therapies, perioperative monitoring, and devices, for cardiovascular disease and associated medical conditions, have been developed.

Pathway analysis of the impact of health literacy, social support, and self-management on frailty in patients with chronic heart failure: A cross-sectional study

Chronic heart failure (CHF) is a significant global health challenge, and frailty is common among CHF patients. Although abundant evidence has revealed significant intercorrelations among health literacy, social support, self-management, and frailty, no study has explored their associations into 1 model based on a theoretical framework. The study aimed to test the Information-Motivation-Behavioral Skills Model in a sample of Chinese CHF patients and explore the potential relationships among social support, health literacy, self-management, and frailty. A cross-sectional study was conducted on CHF patients (n = 219) at a tertiary hospital in China. The Tilburg Frailty Indicator, Heart Failure Specific Health Literacy Scale, Social Support Rating Scale, and Self-management Scale of Heart Failure Patients were used to assess frailty, health literacy, social support, and self-management, respectively. Structural equation modeling with the bootstrapping method was used to test the hypothesized relationships among the variables. The results showed that 47.9% of the CHF patients suffered from frailty. Frailty was negatively correlated with health literacy (r = -0.268, P < .01) with a moderate effect size, social support (r = -0.537, P < .01) with a large effect size, and self-management (r = -0.416, P < .01) with a moderate effect size. The structural equation modeling model showed that social support was positively associated with health literacy (β = 0.419, P < .01) and self-management (β = 0.167, P < .01) while negatively associated with frailty (β = -0.494, P < .01). Health literacy was positively associated with self-management (β = 0.565, P < .01), and self-management was negatively associated with frailty (β = -0.272, P < .01). Our study suggests the potential positive impacts of health literacy, social support, and self-management on improving frailty in CHF patients. Healthcare providers should strengthen patient health education, improve their health literacy, enhance their social support, and promote their self-management so as to reverse frailty and reduce the risk of adverse outcomes.

Functional Capacity, Functional Performance, and Symptoms in People With Heart Failure: An Integrative Review

BACKGROUND

Heart failure (HF) is a clinical syndrome that has a negative effect on functional status, a multidimensional concept characterizing one's ability to provide for the necessities of life. Symptoms might be associated with different aspects of functional status in HF. However, the terms functional capacity and performance have been misused interchangeably, and no previous review has focused on the extent to which symptoms contribute to functional capacity and performance among people with HF.

OBJECTIVE

The aim of this study was to comprehensively review and synthesize the existing literature on the relationship between symptoms, functional capacity, and functional performance in people with HF.

METHODS

We conducted an integrated review of observational studies in which authors examined the relationship between at least 1 symptom and at least 1 aspect of functional capacity or performance in people with HF 18 years or older. The Joanna Briggs Institute's critical appraisal tools were used to analyze the quality of studies.

RESULTS

We included 23 studies with 7219 participants and an age range of 40 to 86 years. Fifteen symptom measures were used to measure dyspnea, fatigue, pain, insomnia symptoms, depressive symptoms, and anxiety symptoms. Three functional capacity measures were assessed in 9 studies, and 7 functional performance measures were assessed in 17 studies. As often measured with the Six-Minute Walk Test, functional capacity was inversely associated with pain/discomfort, insomnia symptoms, and psychological symptoms. Functional performance, often measured by the New York Heart Association functional class and Medical Outcome Scale Short Form 36, was associated with sleep difficulties, fatigue, depressive symptoms, and anxiety. Four studies combined functional capacity and performance measures to elicit functional status. Depressive symptoms, fatigue, pain, and insomnia symptoms are associated with decreased functional performance and capacity.

CONCLUSIONS AND CLINICAL IMPLICATIONS

Commonly, symptoms experienced in HF are associated with declining functional status. However, this finding depends on the measures or metrics used to assess symptoms, functional capacity, and performance. The observed dissimilarities in the relationship between symptoms and functional capacity and performance highlight the conceptual distinctions, suggesting that authors of future studies should judiciously select appropriate dimensions and measures of functional status based on the study's purposes, design, and available resource.

Patients treated with vitamin K oral anticoagulants in family practice: a new approach to bleeding risk assessment. An ancillary study by the CACAO prospective general practice cohort

BACKGROUND

The ability of bleeding risk scores to predict major bleeding (MB) or clinically relevant nonmajor bleeding (CRNMB) remains a topic of contention, particularly in nonselected patients in family practice. In addition, the capacity to predict bleeding risk using simple variables has yet to be established.

OBJECTIVES

The main objective was to confirm that severe anemia was the most predictive factor for the estimation of bleeding risk in patients treated with vitamin K antagonists (VKAs). Secondary objectives were to test the capacity of different bleeding scores to detect high-risk patients. Subsequently, the impact of functional decline on bleeding incidence was explored.

METHODS

The CACAO study was a multicenter prospective cohort study of patients who, due to nonvalvular atrial fibrillation (NVAF) and/or venous thromboembolism (VTE), had been prescribed an oral anticoagulant by their general practitioner (GP) as a prophylactic measure. Patient characteristics were collected at the time of inclusion by GPs, who then monitored them in accordance with standard practice for one year. MB and CRNMB were the main outcomes for one year. By applying this approach, a total of 13 scores were analyzed.

RESULTS

Aaemia was found to be strongly associated with MB (HR: 2.77, 95% CI: 1.2-6.36), with a particularly pronounced association observed in cases of severe anemia (HR: 12.9, 95% CI: 2.76-60.35). Twelve out of 27 MB cases were not identified by at least half of the scores. By contrast, functional decline was identified as a novel factor associated with MB (HR: 2.45, 95% CI: 1.13-5.31).

CONCLUSIONS

Preexisting anemia is a major prognostic factor associated with the occurrence of bleeding. It seems relevant to suggest that functional decline should be considered by GPs when assessing bleeding risk.

Frailty, age, and treatment effect of surgical coronary revascularization in ischemic cardiomyopathy: a post hoc analysis of the STICHES trial

Frailty is common among older patients with heart failure (HF). The efficacy of coronary artery bypass grafting (CABG) on the risk of mortality among frail patients with ischemic cardiomyopathy and HF is uncertain, and whether frailty burden modifies the treatment benefits of CABG among these patients is unknown. We performed a post hoc analysis of the STICHES trial, a randomized trial of CABG with medical therapy vs medical therapy alone among participants with ischemic cardiomyopathy with ejection fraction ≤ 35%. Baseline frailty was assessed through a Rockwood Frailty Index (FI), and based on FI cut-offs from prior HF studies, participants with FI ≥ 0.311 were classified as more frail, and those with FI < 0.311 were classified as less frail. A multivariable Cox proportional hazard model with multiplicative interaction terms was constructed to evaluate whether frailty status modified the treatment effect of CABG on mortality in the overall trial cohort and among those < 60 vs ≥ 60 years of age. Of 1187 participants (12.4% female, 2.6% Black, median FI = 0.33 [IQR 0.27-0.39]), 678 were characterized as more frail. Frailty burden did not modify the efficacy of CABG on the risk of all-cause death in the overall cohort (Pint CABG × frailty = 0.2). In age stratified analysis, Baseline frailty status did not modify the treatment effect of CABG on the risk of all-cause mortality among younger (< 60 years, Pint CABG × frailty = 0.2) as well as older participants (≥60 years, Pint CABG × frailty = 0.6). In this post hoc analysis of the STICHES trial, baseline frailty status did not modify the efficacy of CABG in the overall cohort as well as among younger or older participants. Frailty alone should not be used as a criterion to determine the utilization of CABG among patients with ischemic cardiomyopathy.

International Society for Heart and Lung Transplantation Guidelines for the Evaluation and Care of Cardiac Transplant Candidates-2024

The "International Society for Heart and Lung Transplantation Guidelines for the Evaluation and Care of Cardiac Transplant Candidates-2024" updates and replaces the "Listing Criteria for Heart Transplantation: International Society for Heart and Lung Transplantation Guidelines for the Care of Cardiac Transplant Candidates-2006" and the "2016 International Society for Heart Lung Transplantation Listing Criteria for Heart Transplantation: A 10-year Update." The document aims to provide tools to help integrate the numerous variables involved in evaluating patients for transplantation, emphasizing updating the collaborative treatment while waiting for a transplant. There have been significant practice-changing developments in the care of heart transplant recipients since the publication of the International Society for Heart and Lung Transplantation (ISHLT) guidelines in 2006 and the 10-year update in 2016. The changes pertain to 3 aspects of heart transplantation: (1) patient selection criteria, (2) care of selected patient populations, and (3) durable mechanical support. To address these issues, 3 task forces were assembled. Each task force was cochaired by a pediatric heart transplant physician with the specific mandate to highlight issues unique to the pediatric heart transplant population and ensure their adequate representation. This guideline was harmonized with other ISHLT guidelines published through November 2023. The 2024 ISHLT guidelines for the evaluation and care of cardiac transplant candidates provide recommendations based on contemporary scientific evidence and patient management flow diagrams. The American College of Cardiology and American Heart Association modular knowledge chunk format has been implemented, allowing guideline information to be grouped into discrete packages (or modules) of information on a disease-specific topic or management issue. Aiming to improve the quality of care for heart transplant candidates, the recommendations present an evidence-based approach.

Impact of Frailty and Delirium Among Older Adults Admitted With Acute Decompensated Heart Failure

Background

The presence of frailty or delirium among patients hospitalized for acute decompensated heart failure (ADHF) is associated with increased mortality and prolonged hospital stay.

Objectives

The purpose of this study was to assess the combined effect of frailty and delirium on in-hospital mortality and disposition at discharge among older adults hospitalized with ADHF.

Methods

We conducted a retrospective observational study using Nationwide Inpatient Sample data from the Agency for Healthcare Research and Quality from 2016 to 2018. Patients aged 65 years or older with a diagnosis of ADHF (both with preserved and reduced left ventricular ejection fraction) were included. For analysis, we conducted a multivariable logistic regression analysis to determine OR for in-hospital mortality or nonhome discharge from delirium and frailty.

Results

A total of 3,577,433 weighted number of hospitalizations with ADHF were included. Delirium, moderate frailty risk, and high frailty risk increased the OR for in-hospital mortality (3.74; 95% CI: 3.70-3.78, 4.02; 95% CI: 3.96-4.09, and 8.63; 95% CI: 8.47-8.78, respectively) and nonhome discharge (4.21; 95% CI: 4.18-4.25, 2.95; 95% CI: 2.94-2.97, and 8.86; 95% CI: 8.78-8.94, respectively). When the combination of delirium and frailty was assessed, compared to those without delirium and with low frailty risk, the OR of mortality among those with delirium and high frailty risk was the highest at 12.18 (95% CI: 11.89-12.48). For nonhome discharge, the OR was the highest among those with delirium and high frailty risk at 14.01 (95% CI: 13.77-14.26).

Conclusions

Frailty and delirium, independently and in combination, led to higher odds of in-hospital mortality and nonhome disposition at discharge among patients hospitalized with ADHF.

Association of left atrial function with frailty: The Atherosclerosis Risk in Communities (ARIC) study

BACKGROUND

Frailty is common in people with cardiovascular disease. Worse left atrial (LA) function is an independent risk factor for cardiovascular disease. However, whether worse LA function is associated with frailty is unclear.

METHODS

We included 3292 older adults from the Atherosclerosis Risk in Communities study who were non-frail at baseline (visit 5, 2011-2013) and had LA function (reservoir, conduit, and contractile strain) measured from two-dimensional speckle-tracking echocardiography. LA stiffness index was calculated as a ratio of E/e' to LA reservoir strain. Frailty was defined using the validated Fried frailty phenotype. Incident frailty was assessed between 2016 and 2019 during two follow-up visits. LA function was analyzed as quintiles. Multivariable logistic regression examined odds of incident frailty.

RESULTS

Median (interquartile range [IQR]) age was 74 (71-77) years, 58% were female, and 214 (7%) participants developed frailty during a median (IQR) follow-up of 6.3 (5.6-6.8) years. After adjusting for baseline confounders and incident cardiovascular events during follow-up, the odds of developing frailty was 2.42 (1.26-4.66) times greater among participants in the lowest (vs highest) quintile of LA reservoir strain and 2.41 (1.11-5.22) times greater among those in the highest (vs lowest) quintile of LA stiffness index. Worse LA function was significantly associated with the development of exhaustion, but not the other components of the Fried frailty phenotype.

CONCLUSIONS

Worse LA function is associated with higher incidence of frailty and exhaustion component independent of LA size and left ventricular function. Future studies are needed to elucidate the underlying mechanisms that drive the observed association.

Prevention and rehabilitation after heart transplantation: A clinical consensus statement of the European Association of Preventive Cardiology, Heart Failure Association of the ESC, and the European Cardio Thoracic Transplant Association, a section of ESOT

Little is known either about either physical activity patterns, or other lifestyle-related prevention measures in heart transplantation (HTx) recipients. The history of HTx started more than 50 years ago but there are still no guidelines or position papers highlighting the features of prevention and rehabilitation after HTx. The aims of this scientific statement are (i) to explain the importance of prevention and rehabilitation after HTx, and (ii) to promote the factors (modifiable/non-modifiable) that should be addressed after HTx to improve patients' physical capacity, quality of life and survival. All HTx team members have their role to play in the care of these patients and multidisciplinary prevention and rehabilitation programmes designed for transplant recipients. HTx recipients are clearly not healthy disease-free subjects yet they also significantly differ from heart failure patients or those who are supported with mechanical circulatory support. Therefore, prevention and rehabilitation after HTx both need to be specifically tailored to this patient population and be multidisciplinary in nature. Prevention and rehabilitation programmes should be initiated early after HTx and continued during the entire post-transplant journey. This clinical consensus.

Frailty Assessment Scale for Heart Failure: Development and Psychometric Validation

BACKGROUND

Frailty is common in patients with heart failure. Specific scales, including the Clinical Frailty Scale, exist but have not undergone thorough psychometric validation among patients with heart failure.

OBJECTIVE

The aim of this study was to develop and validate the Frailty Assessment Scale for Heart Failure (FAS-HF) in patients with heart failure.

METHODS

This study included 3 phases. In phase I, conceptualization and item generation, the FAS-HF was initially developed through the analysis of qualitative research data and a literature review. In phase II, item selection and content validity, the Delphi method was used to gather experts' opinions and suggestions regarding the FAS-HF. In phase III, field testing and psychometric evaluation, a cross-sectional study of 184 patients with heart failure in northern Taiwan was conducted to test the reliability and validity of the FAS-HF.

RESULTS

The 15-item FAS-HF included the physical, psychological, and social frailty domains. The total score ranged from 0 to 45, with higher scores representing frailer individuals. Exploratory factor analysis revealed that the cumulative loading variance was 57.39%. In the confirmatory factor analysis, the goodness-of-fit index (0.91), adjusted goodness-of-fit index (0.87), and root mean square error of approximation (0.06) were acceptable for model fit. Acceptable reliability was found, with a Cronbach α coefficient of 0.87 and a test-retest reliability of 0.99. Compared with the Fried frailty phenotype, the area under the receiver operating characteristic curve was 0.94, and the optimal cutoff score for frailty was 20.

CONCLUSIONS

The FAS-HF has good reliability, validity, and discrimination and can be used as a frailty indicator for patients with heart failure.

Sex differences in the impact of frailty on patients with heart failure: A retrospective cohort study

AIMS

Limited literature shows the existence of sex differences in the long-term prognosis of heart failure (HF) patients with frailty. In this study, whether sex differences exist in the impact of frailty on death from cardiovascular causes in patients with HF was investigated by conducting a retrospective cohort study.

METHODS AND RESULTS

Data from the National Health and Nutrition Examination Survey (NHANES) study (2009-2018) were used to conduct a retrospective cohort study of 958 participants with HF. Patients were grouped based on sex and frailty index (FI). The relationship between death from cardiovascular causes and baseline frailty was assessed by Cox proportional hazard analysis and the Kaplan-Meier (K-M) plot. The study population had an age of 67.3 ± 12.3. Among them, around 54.5% were male. A median follow-up of 3.6 years was performed. After that, females who died from cardiovascular causes exhibited higher baseline FI values, while males did not show this trend (P < 0.05; P = 0.1253). Cox regression analysis demonstrated a significant association between FI and cardiovascular mortality in females (most frail: hazard ratio (HR) = 3.65, 95% confidence interval (CI): 1.07 ~ 12.39, P < 0.05; per 1-unit increase in FI: HR = 1.78, 95% CI: 1.33 ~ 2.39, P < 0.001). A dose-response association between FI and cardiovascular mortality was presented by restricted cubic splines.

CONCLUSIONS

Frailty is related to an increased risk of cardiovascular mortality in HF patients, particularly female patients.

Usefulness of oxygen uptake efficiency slope in a 6 min walk test in chronic heart failure

AIMS

Frailty is an obstacle to performing cardiopulmonary exercise test (CPET) in patients with chronic heart failure (CHF). We evaluated the usefulness of oxygen uptake efficiency slope (OUES) using a 6 min walk test (6MWT) with portable gas analysis compared with CPET-derived parameters in patients with CHF.

METHODS AND RESULTS

Patients with CHF who underwent both the 6MWT with portable gas analysis and CPET between December 2016 and May 2020 were retrospectively investigated. The 6MWT-derived and echocardiographic parameters were compared with the OUES and peak oxygen consumption (VO2) from the CPET. Forty patients were analysed; 50% were male with a mean age of 55.45 ± 14.70 years. Twenty-six patients (65%) had New York Heart Association Functional Classification II or III dyspnoea. Twenty-five patients (62.5%) had heart failure (HF) with preserved ejection fraction (EF) (left ventricular EF > 50%), and nine patients (22.5%) had HF with reduced EF (EF < 40%). During the 6MWT, the peak VO2 was 14.97 ± 3.80 mL/kg/min, which was only 74% of the peak VO2 in the CPET, 20.18 ± 5.64 mL/kg/min. The OUES in the 6MWT was lower than that in the CPET (1528.87 ± 579.01 in the 6MWT vs. 1638.69 ± 601.31 in the CPET). The 6 min walk distance (6MWD) and OUES in the 6MWT were positively correlated with the OUES in the CPET (6MWD, r = 0.434, P = 0.005; OUES, r = 0.729, P < 0.001). The OUES in the 6MWT showed the strongest correlation with the OUES in the CPET. When we divided patients into two groups according to peak VO2 in the CPET, the correlation between OUES values of the 6MWT and that of the CPET was consistently confirmed (peak VO2 ≥ 20 mL/kg/min group, r = 0.661, P = 0.001; peak VO2 < 20 mL/kg/min group, r = 0.526, P = 0.021). In addition, the 6MWD, OUES, and peak VO2 in the 6MWT were associated with peak VO2 in the CPET (6MWD, r = 0.627, P < 0.001; OUES, r = 0.452, P = 0.003; and peak VO2, r = 0.492, P = 0.001).

CONCLUSIONS

In frail patients with CHF who have difficulty performing maximal exercises, the OUES through the 6MWT may be applied instead of the OUES and peak VO2 from the CPET.

Use of medical therapy and risk of clinical events according to frailty in heart failure patients - A real-life cohort study

AIMS

Although recent randomized clinical trials have demonstrated the advantages of heart failure (HF) therapy in both frail and not frail patients, there is insufficient information on the use of HF therapy based on frailty status in a real-world setting. The aim was to examine how frailty status in HF patients associates with use of HF therapy and with clinical outcomes.

METHODS AND RESULTS

Patients with new-onset HF between 2014 and 2021 were identified using the nationwide Danish registers. Patients across the entire range of ejection fraction were included. The associations between frailty status (using the Hospital Frailty Risk Score) and use of HF therapy and clinical outcomes (all-cause mortality, HF hospitalization, and non-HF hospitalization) were evaluated using multivariable-adjusted Cox models adjusting for age, sex, diagnostic setting, calendar year, comorbidities, pharmacotherapy, and socioeconomic status. Of 35 999 participants (mean age 69.1 years), 68% were not frail, 26% were moderately frail, and 6% were severely frail. The use of HF therapy was significantly lower in frailer patients. The hazard ratio (HR) for angiotensin-converting enzyme inhibitor/angiotensin receptor blocker initiation was 0.74 (95% confidence interval 0.70-0.77) and 0.48 (0.43-0.53) for moderate frailty and severe frailty, respectively. For beta-blockers, the corresponding HRs were 0.74 (0.71-0.78) and 0.51 (0.46-0.56), respectively, and for mineralocorticoid receptor antagonists, 0.83 (0.80-0.87) and 0.58 (0.53-0.64), respectively. The prevalence of death and non-HF hospitalization increased with frailty status. The HR for death was 1.55 (1.47-1.63) and 2.32 (2.16-2.49) for moderate and severe frailty, respectively, and the HR for non-HF hospitalization was 1.37 (1.32-1.41) and 1.82 (1.72-1.92), respectively. The association between frailty status and HF hospitalization was not significant (HR 1.08 [1.02-1.14] and 1.08 [0.97-1.20], respectively).

CONCLUSION

In real-world HF patients, frailty was associated with lower HF therapy use and with a higher incidence of clinical outcomes including mortality and non-HF hospitalization.

Association between frailty index based on laboratory tests and all-cause mortality in critically ill patients with heart failure

BACKGROUND

The frailty index based on laboratory tests (FI-lab) can identify individuals at increased risk for adverse health outcomes. The association between the FI-lab and all-cause mortality in patients with heart failure (HF) in the intensive care unit (ICU) remains unknown. This study aimed to determine the correlation between FI-lab and all-cause mortality to evaluate the impact of FI-lab on the prognosis of critically ill patients with HF.

METHODS

This retrospective observational study utilized data extracted from the Medical Information Mart for Intensive Care IV database. The FI-lab, which consists of 33 laboratory tests, was constructed. Patients were then grouped into quartiles (Q1-Q4) based on their FI-lab scores. Kaplan-Meier analysis was used to compare all-cause mortality among the four groups. A Cox proportional hazard analysis was conducted to examine the association between the FI-lab score and all-cause mortality. The incremental predictive value of adding FI-lab to classical disease severity scores was assessed using Harrell's C statistic, integrated discrimination improvement (IDI) and net reclassification improvement (NRI).

RESULTS

Among 3021 patients, 838 (27.74%) died within 28 days, and 1400 (46.34%) died within a 360 day follow-up period. Kaplan-Meier analysis indicated that patients with higher FI-lab scores had significantly higher risks of all-cause mortality (log-rank P < 0.001). Multivariable Cox regression suggested that FI-lab, evaluated as a continuous variable (for each 0.01 increase), was associated with increased 28 day mortality [hazard ratio (HR) 1.02, 95% confidence interval (CI) (1.01-1.03), P < 0.001] and 360 day mortality [HR 1.02, 95% CI (1.01-1.02), P < 0.001]. When assessed in quartiles, the 28 day mortality risk [HR 1.66, 95% CI (1.28-2.15), P < 0.001] and 360 day mortality risk [HR 1.48, 95% CI (1.23-1.8), P < 0.001] were significantly higher for FI-lab Q4 compared with FI-lab Q1. FI-lab significantly improved the predictive capability of classical disease severity scores for 28 and 360 day mortality.

CONCLUSIONS

In ICU patients diagnosed with HF, the FI-lab is a potent predictor of short-term and long-term mortality in critically ill patients with HF. The active use of FI-lab to identify high-risk groups among critically ill HF patients and initiate timely interventions may have significant value in improving the prognosis of critically ill patients with HF.

Development and validation of a major adverse limb events prediction model for peripheral arterial disease with frailty

OBJECTIVE

To investigate the risk factors for major limb adverse events (MALE) in peripheral arterial disease (PAD) combined with frailty and to develop and validate a risk prediction model of MALE.

METHODS

This prospective study was performed in the vascular surgery department of patients in six hospitals in southwest China. Prospective collection of patients with PAD combined with frailty from February 1 to December 20, 2021, with MALE as the primary outcome, and followed for 1 year. The cohort was divided into a development cohort and a validation cohort. In the development cohort, a multivariate risk prediction model was developed to predict MALE using random forests for variable selection and multivariable Cox regression analysis. The model is represented by a visualized nomogram and a web-based calculator. The model performance was tested with the validation cohort and assessed using the C-statistic and calibration plots.

RESULTS

A total of 1179 patients were prospectively enrolled from February 1 to December 20, 2021. Among 816 patients with PAD who were included in the analysis, the median follow-up period for this study was 9 ± 4.07 months, the mean age was 74.64 ± 9.43 years, and 249 (30.5%) were women. Within 1 year, 222 patients (27.2%) developed MALE. Target lesion revascularizations were performed in 99 patients (12.1%), and amputations were performed in 131 patients (16.1%). The mortality rate within the whole cohort was 108 patients (13.2%). After controlling for competing risk events (death), the cumulative risk of developing MALE was not statistically different. Prealbumin (hazard ratio [HR], 0.6; 95% confidence interval [CI], 0.41-0.89; P = .010), percutaneous coronary intervention (HR, 2.31; 95% CI, 1.26-4.21; P = .006), Rutherford classification (HR, 1.77; 95% CI, 1.36-2.31; P < .001), white blood cell (HR, 1.85; 95% CI, 1.20-2.87; P = .005), high altitude area (HR, 3.1; 95% CI, 1.43-6.75; P = .004), endovascular treatment (HR, 10.2; 95% CI, 1.44-72.50; P = .020), and length of stay (HR, 1.01; 95% CI, 1.00-1.03; P = .012) were risk factors for MALE. The MALE prediction model had a C-statistic of 0.76 (95% CI, 0.70-0.79). The C-statistic was 0.68 for internal validation and 0.66 for external validation for the MALE prediction model. The MALE prediction model for PAD presented an interactive nomogram and a web-based network calculator.

CONCLUSIONS

In this study, the MALE prediction model has a discriminative ability to predict MALE among patients with PAD in frailty. The MALE model can optimize clinical decision-making for patients with PAD in frailty.

What is the additive value of nutritional deficiency to VA-FI in the risk assessment for heart failure patients?

OBJECTIVES

To assess the impact of adding the Prognostic Nutritional Index (PNI) to the U.S. Veterans Health Administration frailty index (VA-FI) for the prediction of time-to-death and other clinical outcomes in Veterans hospitalized with Heart Failure.

METHODS

A retrospective cohort study of veterans hospitalized for heart failure (HF) from October 2015 to October 2018. Veterans ≥50 years with albumin and lymphocyte counts, needed to calculate the PNI, in the year prior to hospitalization were included. We defined malnutrition as PNI ≤43.6, based on the Youden index. VA-FI was calculated from the year prior to the hospitalization and identified three groups: robust (≤0.1), prefrail (0.1-0.2), and frail (>0.2). Malnutrition was added to the VA-FI (VA-FI-Nutrition) as a 32nd deficit with the total number of deficits divided by 32. Frailty levels used the same cut-offs as the VA-FI. We compared categories based on VA-FI to those based on VA-FI-Nutrition and estimated the hazard ratio (HR) for post-discharge all-cause mortality over the study period as the primary outcome and other adverse events as secondary outcomes among patients with reduced or preserved ejection fraction in each VA-FI and VA-FI-Nutrition frailty groups.

RESULTS

We identified 37,601 Veterans hospitalized for HF (mean age: 73.4 ± 10.3 years, BMI: 31.3 ± 7.4 kg/m2). In general, VA-FI-Nutrition reclassified 1959 (18.6%) Veterans to a higher frailty level. The VA-FI identified 1,880 (5%) as robust, 8,644 (23%) as prefrail, and 27,077 (72%) as frail. The VA-FI-Nutrition reclassified 382 (20.3%) from robust to prefrail and 1577 (18.2%) from prefrail to frail creating the modified-prefrail and modified-frail categories based on the VA-FI-Nutrition. We observed shorter time-to-death among Veterans reclassified to a higher frailty status vs. those who remained in their original group (Median of 2.8 years (IQR:0.5,6.8) in modified-prefrail vs. 6.3 (IQR:1.8,6.8) years in robust, and 2.2 (IQR:0.7,5.7) years in modified-frail vs. 3.9 (IQR:1.4,6.8) years in prefrail). The adjusted HR in the reclassified groups was also significantly higher in the VA-FI-Nutrition frailty categories with a 38% increase in overall all-cause mortality among modified-prefrail and a 50% increase among modified-frails. Similar trends of increasing adverse events were also observed among reclassified groups for other clinical outcomes.

CONCLUSION

Adding PNI to VA-FI provides a more accurate and comprehensive assessment among Veterans hospitalized for HF. Clinicians should consider adding a specific nutrition algorithm to automated frailty tools to improve the validity of risk prediction in patients hospitalized with HF.

The Dual Burden of Frailty and Heart Failure

Frailty is highly prevalent among patients with heart failure (HF) and independently predicts adverse outcomes. However, optimal frailty definitions, assessments, and management in HF remain unclear. Frailty is common in HF, affecting up to 80% of patients depending on population characteristics. Even pre-frailty doubles mortality risk versus robust patients. Frailty worsens HF prognosis through systemic inflammation, neurohormonal changes, sarcopenia, and micronutrient deficiency. Simple screening tools like gait speed and grip strength predict outcomes but lack HF-specificity. Comprehensive geriatric assessment is ideal but not always feasible. Exercise, nutrition, poly-pharmacy management, and multidisciplinary care models can help stablize frailty components and improve patient-centred outcomes. Frailty frequently coexists with and exacerbates HF. Routine frailty screening should guide supportive interventions to optimize physical, cognitive, and psychosocial health. Further research on HF-specific frailty assessment tools and interventions is warranted to reduce this dual burden.

Exploring the correlates of frailty among hospitalized older adults: A cross-sectional study in a Saudi teaching hospital

Frailty is an important public health concern associated with aging. It increases the risk of adverse clinical outcomes, such as falls, late-life dependency, hospitalization, disability, and mortality. The objectives of this study were to estimate the prevalence of frailty and to identify factors associated with frailty among older adults (≥65 years) admitted to King Abdulaziz University Hospital, Jeddah, Saudi Arabia. This cross-sectional study was conducted at King Abdulaziz University Hospital. The data were collected during the months of January and February 2022 and included demographic characteristics, comorbidities, length of stay, and hospital mortality. Frailty status of participants was assessed using the Clinical Frailty Scale. A total of 147 patients (aged ≥ 65 years) were included in our study. The prevalence rates of frailty and non-frailty were 71.4% and 28.6%, respectively. Frail patients had higher comorbidity index (P = .003), polypharmacy (P = .003), heart failure (P = .001), and prolonged hospital stays (P = .007). The results of the multiple logistic regression revealed that the tall patients had a lower risk of frailty (odds ratio = 0.0089, 95% confidence interval: 0.0001-0.7588, P = .042) and patients with higher comorbidity indexes had higher risk of frailty (odds ratio = 1.4907, 95% confidence interval: 1.1449-1.9927, P = .004). In this study, more than two-thirds of the hospitalized older patients were classified as frail. High comorbidity index, heart failure, and polypharmacy were strong predictors of frailty. Patients with frailty were more likely to have a prolonged hospital stay than those without frailty. Therefore, early detection of frailty and proper intervention are essential for improving health outcomes in this vulnerable population.

Prevention and Rehabilitation After Heart Transplantation: A Clinical Consensus Statement of the European Association of Preventive Cardiology, Heart Failure Association of the ESC, and the European Cardio Thoracic Transplant Association, a Section of ESOT

Little is known either about either physical activity patterns, or other lifestyle-related prevention measures in heart transplantation (HTx) recipients. The history of HTx started more than 50 years ago but there are still no guidelines or position papers highlighting the features of prevention and rehabilitation after HTx. The aims of this scientific statement are (i) to explain the importance of prevention and rehabilitation after HTx, and (ii) to promote the factors (modifiable/non-modifiable) that should be addressed after HTx to improve patients' physical capacity, quality of life and survival. All HTx team members have their role to play in the care of these patients and multidisciplinary prevention and rehabilitation programmes designed for transplant recipients. HTx recipients are clearly not healthy disease-free subjects yet they also significantly differ from heart failure patients or those who are supported with mechanical circulatory support. Therefore, prevention and rehabilitation after HTx both need to be specifically tailored to this patient population and be multidisciplinary in nature. Prevention and rehabilitation programmes should be initiated early after HTx and continued during the entire post-transplant journey. This clinical consensus statement focuses on the importance and the characteristics of prevention and rehabilitation designed for HTx recipients.

Frailty according to the 2019 HFA-ESC definition in patients at risk for advanced heart failure: Insights from the HELP-HF registry

AIMS

Frailty is highly prevalent in patients with heart failure (HF), but a concordant definition of this condition is lacking. The Heart Failure Association of the European Society of Cardiology (HFA-ESC) proposed in 2019 a new multi-domain definition of frailty, but it has never been validated.

METHODS AND RESULTS

Patients from the HELP-HF registry were stratified according to the number of HFA-ESC frailty domains fulfilled and to the cumulative deficits frailty index (FI) quintiles. Prevalence of frailty and of each domain was reported, as well as the rate of the composite of all-cause death and HF hospitalization, its single components, and cardiovascular death in each group and quintile. Among 854 included patients, 37 (4.3%), 206 (24.1%), 365 (42.8%), 217 (25.4%), and 29 (3.4%) patients fulfilled zero, one, two, three, or four domains, respectively, while 179 patients had a FI < 0.21 and were considered not frail. The 1-year risk of adverse events increased proportionally to the number of domains fulfilled (for each criterion increase, all-cause death or HF hospitalization: hazard ratio [HR] 1.43, 95% confidence interval [CI] 1.27-1.62; all-cause death: HR 1.72, 95% CI 1.46-2.02, HF hospitalizations: subHR 1.21, 95% CI 1.04-1.31; cardiovascular death: HR 1.77, 95% CI 1.45-2.15). Consistent results were found stratifying the cohort for FI quintiles. The FI as a continuous variable demonstrated higher discriminative ability than the number of domains fulfilled (area under the curve = 0.68 vs. 0.64, p = 0.004).

CONCLUSION

Frailty in patients at risk for advanced HF, assessed via a multi-domain approach and the FI, is highly prevalent and identifies those at increased risk of adverse events. The FI was found to be slightly more effective in identifying patients at increased risk of mortality.

Investigating the relationship between FRailty And Quality of LIfe in patients with heart faiLure and CKD (FRAIL study)

AIMS

Patients with chronic kidney disease (CKD) or heart failure (HF) are disproportionally affected by frailty, an independent predictor of morbidity. The prevalence of frailty and its impact on quality of life (QoL) in a unique population of patients with both CKD and HF (CKD-HF) is unclear. The aim of this study was to investigate the association between frailty and QoL in patients with CKD-HF.

METHODS AND RESULTS

Patients were identified from a tertiary care cardiorenal clinic. Eligible patients had CKD-HF with a stable estimated glomerular filtration rate of <60 mL/min/1.732. Data were collected from each participant at one point in time using surveys delivered by study personnel between 14 July 2022 and 31 March 2023. Frailty was defined as Modified Frailty Phenotype (MFP) score ≥3. The Medical Outcomes Study 36-item Short Form Health Survey (SF-36) was used to assess QoL. Demographic data were retrospectively collected from electronic patient records. Demographics and QoL were compared between frail and non-frail cohorts using Pearson's R and Student's t-test (two-tailed, alpha-priori = 0.05). One hundred five participants consented, and 103 completed the questionnaires in full. Amongst the 103 participants, 49.5% (n = 51) were frail. Frailty was related to sex (P = 0.021) and medication count (P = 0.007), however not to other clinical measures, including estimated glomerular filtration rate (P = 0.437) and ejection fraction (P = 0.911). Frail patients reported poorer QoL across physical functioning (P < 0.001), general health (P < 0.001), bodily pain (P = 0.004), social functioning (P < 0.001), and energy levels (P < 0.001), however not emotional wellbeing (P = 0.058); 51.5% cited 'better quality of life' as their healthcare priority, over longer survival (23.3%) or avoiding hospital admissions (22.3%). This was consistent across frail and non-frail groups.

CONCLUSIONS

A large proportion of CKD-HF patients are frail, regardless of disease severity, and more susceptible to significantly poorer QoL across physical and social domains. Improving QoL is the priority of patients across both frail and non-frail cohorts, further emphasizing the need for prompt recognition of frailty as well as possible intervention and prevention.

Association Between Frailty and Management and Outcomes of Acute Myocardial Infarction Complicated by Cardiogenic Shock

Background

Cardiogenic shock (CS) in the setting of acute myocardial infarction (AMI) is associated with high morbidity and mortality. Frailty is a common comorbidity in patients with cardiovascular disease and is also associated with adverse outcomes. The impact of preexisting frailty at the time of CS diagnosis following AMI has not been studied.

Objectives

The purpose of this study was to examine the prevalence of frailty in patients admitted with AMI complicated by CS (AMI-CS) hospitalizations and its associations with in-hospital outcomes.

Methods

We retrospectively analyzed the National Inpatient Sample from 2016 to 2020 and identified all hospitalizations for AMI-CS. We classified them into frail and nonfrail groups according to the hospital frailty risk score cut-off of 5 and compared in-hospital outcomes.

Results

A total of 283,700 hospitalizations for AMI-CS were identified. Most (70.8%) occurred in the frail. Those with frailty had higher odds of in-hospital mortality (adjusted OR [aOR]: 2.17, 95% CI: 2.07 to 2.26, P < 0.001), do-not-resuscitate status, and discharge to a skilled nursing facility compared with those without frailty. They also had higher odds of in-hospital adverse events, including intracranial hemorrhage, gastrointestinal hemorrhage, acute kidney injury, and delirium. Importantly, AMI-CS hospitalizations in the frail had lower odds of coronary revascularization (aOR: 0.55, 95% CI: 0.53-0.58, P < 0.001) or mechanical circulatory support (aOR: 0.89, 95% CI: 0.85-0.93, P < 0.001). Lastly, hospitalizations for AMI-CS showed an overall increase from 53,210 in 2016 to 57,065 in 2020 (P trend <0.001), with this trend driven by a rise in the frail.

Conclusions

A high proportion of hospitalizations for AMI-CS had concomitant frailty. Hospitalizations with AMI-CS and frailty had higher rates of in-hospital morbidity and mortality compared to those without frailty.

How to tackle therapeutic inertia in heart failure with reduced ejection fraction. A scientific statement of the Heart Failure Association of the ESC

Guideline-directed medical therapy (GDMT) in patients with heart failure and reduced ejection fraction (HFrEF) reduces morbidity and mortality, but its implementation is often poor in daily clinical practice. Barriers to implementation include clinical and organizational factors that might contribute to clinical inertia, i.e. avoidance/delay of recommended treatment initiation/optimization. The spectrum of strategies that might be applied to foster GDMT implementation is wide, and involves the organizational set-up of heart failure care pathways, tailored drug initiation/optimization strategies increasing the chance of successful implementation, digital tools/telehealth interventions, educational activities and strategies targeting patient/physician awareness, and use of quality registries. This scientific statement by the Heart Failure Association of the ESC provides an overview of the current state of GDMT implementation in HFrEF, clinical and organizational barriers to implementation, and aims at suggesting a comprehensive framework on how to overcome clinical inertia and ultimately improve implementation of GDMT in HFrEF based on up-to-date evidence.

Frailty and Parkinson's disease: the role of diabetes mellitus

Parkinson's disease (PD) is a chronic neurodegenerative disease associated with a progressive loss of dopaminergic neurons, clinically characterized by motor and non-motor signs. Frailty is a clinical condition of increased vulnerability and negative health outcomes due to the loss of multiple physiological reserves. Chronic hyperglycemia and insulin resistance, which characterize diabetes mellitus (DM), have been reported to alter dopaminergic activity, increase the risk of PD, and influence the development of frailty. Even though diabetes may facilitate the development of frailty in patients with PD, this relationship is not established and a revision of the current knowledge is necessary. Furthermore, the synergy between DM, PD, and frailty may drive clinical complexity, worse outcomes, and under-representation of these populations in the research. In this review, we aimed to discuss the role of diabetes in the development of frailty among patients with PD. We summarized the clinical characteristics and outcomes of patients with concomitant DM, PD, and frailty. Finally, interventions to prevent frailty in this population are discussed.

The association between frailty and in-hospital mortality in critically ill patients with congestive heart failure: results from MIMIC-IV database

Background

Frailty correlates with adverse outcomes in many cardiovascular diseases and is prevalent in individuals with heart failure (HF). The Hospital Frailty Risk Score (HFRS) offers an integrated, validated solution for frailty assessment in acute care settings, but its application in critically ill patients with congestive HF lacks exploration. This study aimed to identify the association between frailty assessed by the HFRS and in-hospital mortality in critically ill patients with congestive HF.

Methods

This observational study retrospectively enrolled 12,179 critically ill patients with congestive HF. Data from the Medical Information Mart for Intensive Care IV database was used. The HFRS was calculated to assess frailty. Patients were categorized into three groups: non-frailty (HFRS < 5, n = 7,961), pre-frailty (5 ≤ HFRS < 15, n = 3,684), and frailty (HFRS ≥ 15, n = 534). Outcomes included in-hospital mortality, length of intensive care unit stay, and length of hospital stay. Multiple logistic regression and Locally Weighted Scatterplot Smoothing (LOWESS) smoother were used to investigate the association between frailty and outcomes. Subgroup analysis was employed to elucidate the correlation between frailty levels and in-hospital mortality across diverse subgroups.

Results

12,179 patients were enrolled, 6,679 (54.8%) were male, and the average age was 71.05 ± 13.94 years. The overall in-hospital mortality was 11.7%. In-hospital mortality increased with the escalation of frailty levels (non-frailty vs. pre-frailty vs. frailty: 9.7% vs. 14.8% vs. 20.2%, P < 0.001). The LOWESS curve demonstrated that the HFRS was monotonically positively correlated with in-hospital mortality. Upon controlling for potential confounders, both pre-frailty and frailty statuses were found to be independently linked to a heightened risk of mortality during hospitalization (odds ratio [95% confidence interval]: pre-frailty vs. non-frailty: 1.27 [1.10-1.47], P = 0.001; frailty vs. non-frailty: 1.40 [1.07-1.83], P = 0.015; P for trend < 0.001). Significant interactions between frailty levels and in-hospital mortality were observed in the following subgroups: race, heart rate, creatinine, antiplatelet drug, diabetes, cerebrovascular disease, chronic renal disease, and sepsis.

Conclusion

In critically ill patients with congestive HF, frailty as assessed by the HFRS emerged as an independent predictor for the risk of in-hospital mortality. Prospective, randomized studies are required to determine whether improvement of frailty levels could improve clinical prognosis.

Establishment of in-hospital nutrition support program for middle-aged and elderly patients with acute decompendated heart failure

OBJECTIVE

To construct a nutrition support program for middle-aged and elderly patients with acute decompensated heart failure (ADHF) during hospitalization.

METHODS

Based on the JBI Evidence-Based Health Care Model as the theoretical framework, the best evidence was extracted through literature analysis and a preliminary nutrition support plan for middle-aged and elderly ADHF patients during hospitalization was formed. Two rounds of expert opinion consultation were conducted using the Delphi method. The indicators were modified, supplemented and reduced according to the expert's scoring and feedback, and the expert scoring was calculated.

RESULTS

The response rates of the experts in the two rounds of consultation were 86.7% and 100%, respectively, and the coefficient of variation (CV) for each round was between 0.00% and 29.67% (all < 0.25). In the first round of expert consultation, 4 items were modified, 3 items were deleted, and 3 items were added. In the second round of the expert consultation, one item was deleted and one item was modified. Through two rounds of expert consultation, expert consensus was reached and a nutrition support plan for ADHF patients was finally formed, including 4 first-level indicators, 7 s-level indicators, and 24 third-level indicators.

CONCLUSION

The nutrition support program constructed in this study for middle-aged and elderly ADHF patients during hospitalization is authoritative, scientific and practical, and provides a theoretical basis for clinical development of nutrition support program for middle-aged and elderly ADHF patients during hospitalization.

The Impact of Frailty Components and Preoperative Mechanical Cardiac Support Changes with Time after Heart Transplantation

BACKGROUND

Frailty has been proven to be associated with mortality after orthotopic heart transplantation (OHT). The aim of our study was to determine the impact of frailty on mortality in the current era using pretransplant mechanical cardiac support (MCS).

METHODS

We retrospectively calculated the frailty scores of 471 patients undergoing OHT in a single institution between January 2012 and August 2022. The outcome was all-cause mortality.

RESULTS

The median survival time was 1987 days (IQR: 1487 days) for all patients. In total, 266 (56.5%) patients were categorized as nonfrail, 179 (38.0%) as prefrail, and 26 (5.5%) as frail. The survival rates were 0.73, 0.54, and 0.28 for nonfrail, prefrail, and frail patients, respectively. The frailty score was associated with mortality [HR: 1.34 (95% CI: 1.22-1.47, p < 0.001)]. Among the components of the frailty score, age above 50 years, creatinine ≥ 3.0 mg/dL or prior dialysis, and hospitalization before OHT were independently associated with mortality. Continuous-flow left ventricular assist devices (CF-LVAD) were associated with an increased risk for all-cause mortality [AHR: 1.80 (95% CI: 1.01-3.24, p = 0.047)].

CONCLUSIONS

The components of the frailty score were not equally associated with mortality. Frailty and pretransplant MCS should be included in the risk estimation.

Comparison of two frailty definitions in women with systemic lupus erythematosus

OBJECTIVES

Frailty is a risk factor for adverse health in SLE. The Fried phenotype (FP) and the SLICC Frailty Index (SLICC-FI) are common frailty metrics reflecting distinct approaches to frailty assessment. We aimed to (1) compare frailty prevalence according to both metrics in women with SLE and describe differences between frail and non-frail participants using each method and (2) evaluate for cross-sectional associations between each metric and self-reported disability.

METHODS

Women aged 18-70 years with SLE were enrolled. FP and SLICC-FI were measured, and agreement calculated using a kappa statistic. Physician-reported disease activity and damage, Patient Reported Outcome Measurement Information System (PROMIS) computerized adaptive tests, and Valued Life Activities (VLA) self-reported disability were assessed. Differences between frail and non-frail participants were evaluated cross-sectionally, and the association of frailty with disability was determined for both metrics.

RESULTS

Of 67 participants, 17.9% (FP) and 26.9% (SLICC-FI) were frail according to each metric (kappa = 0.41, P < 0.01). Compared with non-frail women, frail women had greater disease damage, worse PROMIS scores, and greater disability (all P < 0.01 for FP and SLICC-FI). After age adjustment, frailty remained associated with a greater odds of disability [FP: odds ratio (OR) 4.7, 95% CI 1.2, 18.8; SLICC-FI: OR 4.6, 95% CI 1.3, 15.8].

CONCLUSION

Frailty is present in 17.9-26.9% of women with SLE. These metrics identified a similar, but non-identical group of women as frail. Further studies are needed to explore which metric is most informative in this population.

Hypertension facilitates age-related diseases. ~ Is hypertension associated with a wide variety of diseases?~

Hypertension, a disease whose prevalence increases with age, induces pathological conditions of ischemic vascular disorders such as cerebral infarction and myocardial infarction due to accelerated arteriosclerosis and circulatory insufficiency of small arteries and sometimes causes hemorrhagic conditions such as cerebral hemorrhage and ruptured aortic aneurysm. On the other hand, as it is said that aging starts with the blood vessels, impaired blood flow associated with vascular aging is the basis for the development of many pathological conditions, and ischemic changes in target organs associated with vascular disorders result in tissue dysfunction and degeneration, inducing organ hypofunction and dysfunction. Therefore, we hypothesized that hypertension is associated with all age-related vascular diseases, and attempted to review the relationship between hypertension and diseases for which a relationship has not been previously well reported. Following our review, we hope that a collaborative effort to unravel age-related diseases from the perspective of hypertension will be undertaken together with experts in various specialties regarding the relationship of hypertension to all pathological conditions.

Mapping Knowledge Landscapes and Emerging Trends of the Links Between Frailty and Heart Failure: A Bibliometric Analysis From 2000 to 2023

Background Frailty, within the context of heart failure (HF), is strongly linked to poor patient outcomes. Investigating the vulnerable condition of individuals with HF is crucial, not only for medical reasons but also as a significant public health challenge, especially among the elderly population where both HF and frailty are common. Therefore, it is essential to prioritize HF patients with frailty over those without such symptoms. To begin, promptly assessing the impact of academic research in this area is crucial, considering factors such as geographical regions, authors, journals, and institutions. Additionally, it is important to explore current topics and identify potential areas that could inspire future researchers to conduct further studies to advance public health. Methodology We conducted a search in the Web of Science Core Collection database to identify articles and reviews in the English language focusing on frailty and HF which were published from January 1, 2000, to December 31, 2023. To perform bibliometric analysis, VOSviewer (v.1.6.18) and CiteSpace (v.6.1.R2) were utilized. Results A total of 1,381 original English-language articles were gathered, comprising 1,162 articles and 219 reviews. The quantity of research publications in this area has experienced significant growth since 2013. Among all countries, the United States has contributed the largest number of publications, accounting for 409 articles (29.62% of the total). Additionally, the United States has received the highest number of citations, being cited a total of 13,329 times, as well as boasting the greatest total link strength. Duke University stands out as the institution with the highest number of research papers, having published 40 articles (2.90% of the total). It has also received the most citations, with a total of 2,455 times, and possesses the highest total link strength, which amounts to 212. Within the realm of prolific authors, Kentaro Kamiya from Kitasato University emerges as the most productive, having authored 28 articles (2.03% of the total). When considering scholarly journals, "Esc Heart Failure" contains the highest number of articles pertaining to frailty and HF, publishing a noteworthy 36 articles (2.61% of the total). Noteworthy keywords within this field encompass frailty, heart failure, elderly, mortality, and cardiovascular disease. Over the past five years, the most popular keywords have centered around "frailty syndrome," "sarcopenia," and "therapeutic interventions." Conclusions Research on frailty and HF at a global scale has experienced substantial growth between 2000 and 2023, demonstrating a prospective field for further exploration with potential advantages from ongoing progress. Prospective studies could prioritize the enhancement of cardiac rehabilitation for patients coping with HF and frailty while ensuring the preservation of their overall quality of life.

Barriers to telemedicine for patients with heart failure: Who are the patients being left behind?

Heart failure is associated with high rates of hospitalization, which are more prevalent in frail patients, impacting the quality of life and clinical outcomes. Telemedicine is considered cost-effective for improving patient self-management and hospitalization. However, socioeconomic deprivation and frailty could hinder access to virtual care. We investigated if frailty and socioeconomic factors were associated with telemedicine access among heart failure patients. For this cross-sectional analysis of Continuum study, 35 patients were allocated to the "able to use" group (had a smart device and were able to use it) or the "not able to use" group. Socioeconomic deprivation was determined according to the deprivation index. Frailty was assessed using the Fried criteria. The mean age was 69.9 ± 9 years, 74% were in New York Heart Association class II. A total of 14 patients (39%) were physically frail. Patients considered not able to use the app were more socioeconomically deprived (p = 0.011) and frail (p = 0.036). There was no correlation between frailty score and socioeconomic deprivation (r = 0.15, p = 0.411). Telemedicine use seems to be independently associated with frailty and socioeconomic deprivation in heart failure patients. More efforts should be made to foster the inclusion of vulnerable patients and improve global telemedicine access.

Characterisation of the octogenarians presenting to the diagnostic heart failure clinic: SHEAF registry

INTRODUCTION

Heart failure (HF) incidence is increasing in older adults with high hospitalisation and mortality rates. Treatment is complicated by side effects and comorbidities. We investigated the clinical characteristics of octogenarians presenting to the HF clinic.

METHODS

Data were collected on octogenarians (80-89 years) referred to the HF clinic in two periods. The data included demographics, HF phenotype, comorbidities, symptoms and treatment. We investigate the temporal changes in clinical characteristics using χ2 test. We aimed to determine the clinical characteristics which were associated with optimisation of HF pharmacological intervention in the clinic, conducting multivariate regression analysis. Statistical significance is determined at p<0.05.

RESULTS

Data were collected in April 2012 to January 2014 and in June 2021 to December 2022. In this cross-sectional study of temporal data, 571 octogenarians were referred to the clinic in the latter period, in whom the prevalence of HF was 68.48% (391 patients). HF with preserved ejection fraction (HFpEF) was the most common phenotype and increased significantly compared with the first period (46.3% and 29.2%, p<0.001). Frailty, chronic kidney disease and ischaemic heart disease increased significantly versus the first period (p<0.001). During the second period, and following the consultation, of the patients with HF with reduced ejection fraction (HFrEF), 86.4% and 82.7% were on a beta blocker and on an ACE inhibitor/angiotensin receptor blocker/angiotensin receptor-neprilysin inhibitor, respectively. Clinical characteristics associated with further optimisations of HF pharmacological therapy in the HF clinic were: New York Heart Association (NYHA) functional class III and the presence of HFrEF phenotype CONCLUSIONS: With a prevalence of HF at 68% among the octogenarians referred to the HF clinic, HFpEF incidence is rising. The decision to optimise HF pharmacological treatment in octogenarians is driven by NYHA functional class III and the presence of HFrEF phenotype.

The Association of Unmet Palliative Care Needs and Physical Frailty With Clinical Outcomes: A Prospective Study of Adults With Heart Failure

BACKGROUND

People with heart failure, particularly those who are physically frail, experience complex needs that can be addressed by palliative care (PC). However, we have a limited understanding of how the intersection of unmet PC needs and physical frailty contributes to health-related quality of life (HRQOL) and risk for hospitalization or mortality.

OBJECTIVE

In this study, we sought to examine the association of unmet PC needs and physical frailty with clinical outcomes (baseline HRQOL and hospitalizations or mortality at 6 months).

METHODS

We recruited a convenience sample of community-dwelling persons with heart failure from an urban hospital system who were older than 50 years and hospitalized in the last year. We measured physical frailty using the FRAIL scale (nonfrail, 0-2; frail, 3-5), PC needs using the Integrated Palliative Outcome Scale (range, 0-58; higher scores indicating higher needs), and HRQOL using the Kansas City Cardiomyopathy Questionnaire (range, 0-100; higher scores indicate higher HRQOL). We performed multivariable linear regression to test the relationships between physical frailty, PC needs, and HRQOL, and multivariable logistic regression for associations with all-cause 6-month hospitalization or mortality. We also performed an exploratory analysis of 4 PC needs/frailty groups (high PC needs/frail, high PC needs/nonfrail, low PC needs/frail, low PC needs/nonfrail) with outcomes.

RESULTS

In our overall sample (n = 298), mean (SD) age was 68 (9.8) years, 37% were women (n = 108), 28% identified as Black/African American (n = 84), and 65% had heart failure with preserved ejection fraction (n = 194). Mean PC needs score was 19.7, and frail participants (n = 130, 44%) had a significantly higher mean PC needs score than nonfrail participants (P < .001). Those with higher PC needs (Integrated Palliative Care Outcome Scale ≥ 20) had significantly worse HRQOL (P < .001) and increased odds of hospitalization or mortality (odds ratio, 2.5; P < .01) compared with those with lower PC needs, adjusting for covariates. Physically frail participants had significantly worse HRQOL (P < .001) and higher odds of hospitalization or mortality at 6 months (odds ratio, 2.6; P < .01) than nonfrail participants, adjusting for covariates. In an exploratory analysis, physically frail participants with high PC needs had the lowest HRQOL score, with an average score of 28.6 points lower (P < .001) and 4.6 times higher odds of hospitalization or mortality (95% confidence interval, 2.03-10.43; P < .001) than low-needs/nonfrail participants.

CONCLUSION

Higher unmet PC needs and physical frailty, separately and in combination, were associated with lower HRQOL and higher odds of hospitalization or mortality. Self-reported PC needs and physical frailty assessment in clinical settings may improve identification of patients at the highest risk for poor HRQOL and hospitalization or mortality amenable to PC intervention.

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.

Usefulness of Clinical Frailty Scale for Comprehensive Geriatric Assessment of Older Heart Failure Patients

Background: Comprehensive geriatric assessment (CGA) is a multidisciplinary diagnostic process to identify the physical, psychological, and social functions of patients with frailty. The Clinical Frailty Scale (CFS) might aid in effectively identifying older patients with heart failure (HF) and frailty who would then reap maximum benefits from the CGA. Methods and Results: A single-centre prospective cohort study that enrolled consecutive hospitalised patients (age ≥75 years) with HF was conducted. The Barthel index (BI), Mini Mental State Examination (MMSE), the Charlson comorbidity index (CCI), and the COntrolling NUTritional (CONUT) for CGA was used. Among 190 enrolled patients (mean age, 85.4 years; 47.9% male), all-cause mortality (primary endpoint) occurred in 45 patients and HF-related rehospitalization (secondary endpoint) in 59 patients within 1 year. The cumulative incidence of all-cause mortality was significantly higher in the high CFS group (low 6.3%, high 30.5%, P<0.001). However, the cumulative incidence of HF-related rehospitalization was not significantly different (low 26.3%, high 32.0%, P=0.304). The multivariable analysis revealed that the CFS group was independently associated with the risk of all-cause mortality. CFS showed a strong correlation with the BI and moderate correlation with the MMSE. Conclusions: The CFS was associated with all-cause mortality within 1 year and was correlated with frailty domains of CGA.

An Updated Review of the Management of Chronic Heart Failure in Patients with Chronic Kidney Disease

Chronic kidney disease (CKD) is common in patients with heart failure (HF) and is associated with high morbidity and mortality. There has been remarkable progress in the treatment of HF over recent years with the establishment of guideline-directed medical therapies including: (1) Beta-blockers, (2) renal angiotensin aldosterone system (RAAS) inhibition (i.e., angiotensin-converting enzyme inhibitor [ACEi], aldosterone receptor blocker [ARB] or angiotensin receptor-neprilysin inhibitor [ARNI]); (3) mineralocorticoid receptor antagonists (MRA), and (4) sodium-glucose cotransporter-2 inhibitors (SGLT2i). However, there are challenges to the implementation of these medications in patients with concomitant CKD due to increased vulnerability to common side-effects (including worsening renal function, hyperkalaemia, hypotension), and most of the pivotal trials which provide evidence of the efficacy of these medications excluded patients with severe CKD. Patients with CKD and HF often have regular healthcare encounters with multiple professionals and can receive conflicting guidance regarding their medication. Thus, despite being at higher risk of adverse cardiovascular events, patients who have both HF and CKD are more likely to be under-optimised on evidence-based therapies. This review is an updated summary of the evidence available for the management of HF (including reduced, mildly reduced and preserved left ventricular ejection fraction) in patients with various stages of CKD. The review covers the evidence for recommended medications, devices such as implantable cardioverter-defibrillator (ICD), cardiac resynchronization therapy (CRT), intravenous (IV) iron, and discusses how frailty affects the management of these patients. It also considers emerging evidence for the prevention of HF in the cohort of patients with CKD. It synthesises the available evidence regarding when to temporarily stop, continue or rechallenge medications in this cohort. Chronic HF in context of CKD remains a challenging scenario for clinicians to manage, which is usually complicated by frailty, multimorbidity and polypharmacy. Treatment should be tailored to a patients individual needs and management in specialised cardio-renal clinics with a multi-disciplinary team approach has been recommended. This review offers a concise summary on this expansive topic.

Body mass index, frailty, and outcomes in heart failure with preserved ejection fraction

AIMS

Relationship between body mass index (BMI), frailty, and clinical adverse events remains unclear in patients with heart failure (HF) with preserved ejection fraction (HFpEF) in different patient populations. We aimed to compare the association of BMI, frailty, and clinical adverse events between a US cohort from the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) study and a Chinese cohort from the Heart Failure Registry of Patient Outcomes (HERO) study.

METHODS AND RESULTS

We used data of 1715 participants enrolled from America in the TOPCAT study and 1487 patients with HFpEF in the Chinese registry study, the HERO. We evaluated the relationship between BMI and frailty using multivariate restricted cubic spline logistic regression. Association between frailty and BMI categories and primary outcomes including HF hospitalization, aborted sudden death, and cardiovascular death, all-cause mortality, and HF hospitalization were analysed by Cox proportional hazards models. The patients' mean age was 72 ± 11 years for both study populations, with 50% and 46% female for the TOPCAT study and the HERO study, respectively. Patients in the TOPCAT study had a higher mean BMI (33.9 vs. 24 kg/m2), with 72.3% vs. 52.9% defined as moderately to severely frail (frailty index > 0.3). In the TOPCAT study, risk of frailty rose as BMI increased, but not in the HERO study. Patients with frailty were at significant higher risk for the primary composite outcomes [hazard ratio (HR) 1.84 (95% confidence interval: 1.46-2.32)], all-cause mortality [HR 1.73 (1.34-2.25)], and HF hospitalization [HR 1.83 (1.40-2.40)] in the TOPCAT study. The corresponding numbers in the HERO study were 1.26 (1.01-1.57), 2.21 (1.45-3.35), and 1.15 (0.81-1.37), respectively. The association of frailty with clinical outcomes did not vary with BMI categories in the two studies.

CONCLUSIONS

BMI distribution and association between BMI and frailty risk were different between the two study populations. Frailty was associated with clinical adverse events and this association was consistent across different BMI categories in both studies.

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 Chronic Diseases and Frailty in a Sample of Older Greek Inpatients

INTRODUCTION

Previous reports have associated frailty with the existence of various chronic diseases. Especially for cardiovascular diseases, this relationship seems to be bidirectional as common pathophysiological mechanisms lead to the progression of both diseases and frailty. The study aimed to examine the relationship between chronic diseases and frailty in a sample of older Greek inpatients Methodology: In 457 consecutively admitted older patients (226, 49.5% females), the median age was 82 years (interquartile range [IQR] 75-89), and demographic factors, medical history, cause of admission, and the degree of frailty assessed with the Clinical Frailty Scale were recorded. The level of frailty was calculated for the pre-hospital status of the patients. Parametric tests and logistic regression analysis were applied to identify diseases independently associated with frailty.

RESULTS

Using the scale, 277 patients (60.6%) were classified as frail and 180 as non-frail (39.4%). In univariate analysis, frail patients were more likely to have respiratory disease, dementia, Parkinson's disease, chronic kidney disease (CKD), atrial fibrillation (AFIB), neoplastic disease, depression, stroke, heart failure (HF), and coronary artery disease. In binomial regression analysis, the diseases that were statistically significantly associated with frailty were respiratory diseases (P = 0.009, odds ratio [OR] = 2.081, 95% confidence interval [CI] 1.198-3.615), dementia (P ≤ 0.001, OR = 20.326, 95% CI 8.354-49.459), Parkinson's disease (P = 0.049, OR = 3.920, 95% CI 1.005-15.295), CKD (P = 0.018, OR = 2.542, 95% CI 1.172-5.512), AFIB (P = 0.017, OR = 1.863, 95% CI 1.118-3.103), HF (P = 0.002, OR = 2.411, 95% CI 1.389-4.185), and coronary artery disease (P = 0.004, OR = 2.434, 95% CI 1.324-4.475).

CONCLUSIONS

Among diseases independently associated with frailty, chronic diseases such as respiratory diseases, dementia, Parkinson's disease, CKD, and cardiovascular diseases (AFIB, HF, and coronary heart disease) have an important role. Recognizing the diseases that are highly related to frailty may contribute, by their optimal management, to delaying the progression or even reversing frailty in a large proportion of the elderly.

The prevalence of frailty and its effect on the outcome in cardiac resynchronization therapy patients

Frailty is a complex clinical syndrome associated with aging and comorbidities, which correlates with unfavorable outcomes. However, in heart failure patients, frailty is very common, data is scarce about those, who are eligible for Cardiac Resynchronization Therapy (CRT) implantation. We investigated the incidence of frailty and the association of Frailty Index (FI) with the outcome. Thirty baseline clinical parameters were used by the Rockwood cumulative deficit method to determine patients' FI in our single-center cohort. Based on previous studies, patients with FI ≤ 0.210 were considered as non-frail, those with FI 0.10-0.210 were classified in Frail-1, with FI > 0.10 in Frail-2 groups, respectively. Echocardiographic response after 12 months and all-cause mortality were investigated by frailty groups. Among 1004 included patients, 75 (7%) were considered Non-frail, 271 (27%) grouped in Frail-1, and 658 (66%) in Frail-2 with a median FI of 0.36 (0.28-0.43). Patients in Frail-2 group were older, with more comorbidities compared with non-frail patients or those in Group Frail-1. During the median follow-up time of 4.8 years, 29 (39%) patients died in the Non-frail, 140 (52%) in Frail-1, and 471 (72%) in the Frail-2 groups (log-rank p < 0.001). Group Frail-2 showed an unfavorable outcome compared to the non-frail (HR 2.49, 95%CI 1.92-3.22; p < 0.001) and the Frail-1 group (1.83, 95%CI 1.55-2.16; p < 0.001). In our HFrEF patients eligible for CRT implantation, patients were exceedingly vulnerable with a high prevalence of frailty. The calculated frailty index was associated with outcome and proved to be prevalent in individual risk stratification.

Fried Frailty Phenotype in Elderly Patients with Chronic Coronary Syndrome: Prevalence, Associated Factors, and Impact on Hospitalization

Purpose

To investigate the prevalence and factors associated with frailty and impact of frailty on hospitalization due to any cause in elderly patients with chronic coronary syndrome (CCS).

Patients and Methods

We conducted a study wherein we assessed frailty using Fried frailty phenotype for outpatients aged ≥60 years with CCS. Logistic regression analysis was performed to assess the factors associated with frailty. Frailty was adjusted for demographic and geriatric variables and comorbidities to assess its impact on hospitalization.

Results

Overall, 420 patients (median age 70 years [interquartile range, 65-77]; men, 74.5%) who completed the 3-month follow-up period were analyzed. Coronary revascularization for > 1 year was the most common clinical scenario for CCS (59.8%; n = 251). The prevalence of non-frail, pre-frail, and frail patients were 22.4% (n = 94), 49.7% (n = 209), and 27.9% (n = 117), respectively. In the adjusted model, three factors associated with frailty were age ≥ 75 years (odds ratio [OR] 2.29, 95% confidence interval [CI] 1.39-3.75, P = 0.001), limitations in instrumental activity of daily living (OR 3.89, 95% CI 2.33-6.48, P < 0.001), and heart failure (OR 2.30, 95% CI 1.32-4.02, P = 0.003). The overall 3-month hospitalization rate was higher in frail patients than in non-frail patients (23.9% vs 13.5%, P = 0.012). Frailty was associated with hospitalization (OR 1.85, 95% CI 1.04-3.30, P = 0.037) but in a weak strength of association (r = 0.126).

Conclusion

The prevalence of frailty was 27.9% in the elderly patients with CCS. Age ≥ 75 years, limitations in functional status, and heart failure were associated with increased odds of frailty. Frailty was a predictor of 3-month all-cause hospitalization in these patients.

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.

What is the association of polypharmacy with frailty in heart failure? A systematic review and meta-analysis

This systematic review and meta-analysis aimed to explore the differences in the number of prescribed medications and polypharmacy risk between patients with heart failure (HF) and frailty vs. those with HF but without frailty. Eligible studies included observational or experimental studies in patients aged ≥50 years. Thirteen studies met the criteria and were included in the final analysis. Patients with frailty and HF exhibited a higher risk of polypharmacy (OR: 1.87, 95% CI 1.72 - 2.04, I2 = 0%, P < 0.01) compared to those without frailty. Results remained significant after adjusting for comorbidity status. Additionally, patients with frailty and HF were prescribed more medications compared to those without (k = 6; MD: 1.43, 95% CI 0.31 - 2.55, I2 = 94%, P = 0.01), with a high degree of heterogeneity. However, results were non-significant after adjustment for comorbidity status. Patients with HF and frailty have a higher need of polypharmacy compared to those without frailty, which may increase the risk of potentially inappropriate medications (PIM). Investigating the real-world prevalence of PIM may support clinicians in their routine assessment as part of a comprehensive management strategy in patients with HF and frailty.