The Impact of Frailty and Comorbidities on Heart Failure Outcomes

Telehealth-aided outpatient management of acute heart failure in a specialist virtual ward compared with standard care

AIMS

The aim of this propensity score matched cohort study was to assess the outcomes of telehealth-guided outpatient management of acute heart failure (HF) in our virtual ward (HFVW) compared with hospitalized acute HF patients.

METHODS AND RESULTS

This cohort study (May 2022-October 2023) assessed outcomes of telehealth-guided outpatient acute HF management using bolus intravenous furosemide in a HF-specialist VW. Propensity score matching (PSM) was performed using logistic regression to adjust for potential differences in baseline patient characteristics between HFVW and standard care [Get With The Guidelines-HF score, clinical frailty score (CFS), Charlson co-morbidity index (CCI), NT-proBNP, and ejection fraction]. Clinical outcomes (re-hospitalizations and mortality) were compared at 1, 3, 6, and 12 months versus standard care-SC (acute HF patients managed without telehealth in 2021). Five hundred fifty-four HFVW ADHF patients (age 73.1 ± 10.9 years; 46% female) were compared with 404 ADHF patients (74.2 ± 11.8; P = 0.15 and 49% female) in the standard care-SC cohort. After propensity score matching for baseline patient characteristics, re-hospitalizations were significantly lower in the HFVW compared with SC (1 month-HFVW 8.6% vs. SC-21.5%, P < 0.001; 3 months-21% vs. 30%, P = 0.003; 6 months-28% vs 41%, P < 0.001 and 12 months-47% vs. 57%, P = 0.005) and mortality was also lower at 1 month (5% vs. 13.7%; P < 0.001), 3 months (9.5% vs. 15%; P = 0.001), 6 months (15% vs. 21%; P = 0.03), and 12 months (20% vs. 26%; P = 0.04). Multivariate logistic regression analysis showed that compared with standard care, HFVW management was associated with lower odds of readmission (1-month odds ratio (OR) = 0.3 [95% Confidence Interval CI 0.2-0.5], P < 0.0001; 3 month OR = 0.15 [0.1-0.3], P < 0.0001; 6-month OR = 0.35 [0.2-0.6], P = 0.0002; 12-month OR = 0.25 [0.15-0.4], P ≤ 0.001 and mortality (1-month OR = 0.26 [0.14-0.48], P < 0.0001; 3-month OR = 0.11 [0.04-0.27], P < 0.0001; 6-month OR = 0.35, [0.2; 0.61], P = 0.0002; 12-month OR = 0.6 [0.48; 0.73], P = 0.03. Higher GWTG-HF score independently predicted increased odds of re-hospitalization (1-month OR = 1.2 [1.1-1.3], P < 0.001; 3-month OR = 1.5 [1.37; 1.64], P < 0.0001; 6-month OR = 1.3 [1.2-1.4], P < 0.0001; 12-month OR = 1.1 [1.05-1.2], P = 0.03) as well as mortality (1-month OR = 1.21 [1.1-1.3], P < 0.0001; 3-month OR = 1.3 [1.2-1.4], P < 0.0001; 6-month OR = 1.2 [1.1-1.3], P < 0.0001; 12-month OR = 1.3 [1.1-1.7], P = 0.02). Similarly higher CFS also independently predicted increased odds of re-hospitalizations (1-month OR = 1.9 [1.5-2.4], P < 0.0001; 3-month OR = 1.8 [1.3-2.4], P = 0.0003; 6-month OR = 1.4 [1.1-1.8], P = 0.015; 12-month OR 1.9 [1.2-3], P = 0.01]) and mortality (1-month OR = 2.1 [1.6-2.8], P < 0.0001; 3-month OR = 1.8 [1.2-2.6], P = 0.006; 6-month OR = 2.34 [1.51-5.6], P = 0.0001; 12-month OR = 2.6 [1.6-7], P = 0.02). Increased daily step count while on HFVW independently predicted reduced odds of re-hospitalizations (1-month OR = 0.85[0.7-0.9], P = 0.005), 3-month OR = 0.95 [0.93-0.98], P = 0.003 and 1-month mortality (OR = 0.85 [0.7-0.95], P = 0.01), whereas CCI predicted adverse 12-month outcomes (OR = 1.2 [1.1-1.4], P = 0.03).

CONCLUSIONS

Telehealth-guided specialist HFVW management for ADHF may offer a safe and efficacious alternative to hospitalization in suitable patients. Daily step count in HFVW can help predict risk of short-term adverse clinical outcomes.

Prognostic impact of frailty based on a comprehensive frailty assessment in patients with heart failure

AIMS

This study aimed to evaluate the impact of frailty and living function domains based on the Kihon Checklist (KCL), a questionnaire for a comprehensive frailty assessment, on prognosis in patients with acute heart failure (AHF).

METHODS AND RESULTS

The Kochi Registry of Subjects with Acute Decompensated Heart Failure (Kochi YOSACOI) study was a prospective multicentre cohort study enrolling 1061 patients hospitalized for AHF from May 2017 to December 2019 in Japan. We divided patients into three groups according to the severity of frailty using the KCL and compared clinical outcomes after discharge. The primary endpoint was all-cause death, and the secondary outcomes were cardiovascular death, heart failure (HF) rehospitalization, and the composite event of cardiovascular death and HF rehospitalization. Of 936 patients (median age, 81 years; 48.9% women) who could be assessed for frailty, we identified frailty in 501 patients (53.5%), prefrailty in 290 patients (31.0%), and non-frailty in 145 patients (15.5%). Compared with prefrail and non-frail patients, frail patients were older (83 vs. 79 and 72 years, P < 0.001), were more likely to be women (53.9% vs. 43.1% and 43.4%, P = 0.005), and were more likely to have a history of previous HF hospitalization (35.4% vs. 25.3% and 19.6%, P < 0.001) and multimorbidity (90.8% vs. 81.0% and 73.8%, P < 0.001). Frail patients had a lower rate of discharge to home (79.7% vs. 94.8% and 96.5%, P < 0.001). During the 2 year follow-up period, frail patients had a higher incidence rate of all-cause death, cardiovascular death, and HF rehospitalization (log-rank P < 0.001, P < 0.001, and P = 0.003, respectively). After adjusting for other prognostic factors, multivariate analysis showed that frailty was associated with all-cause death [adjusted hazard ratio (HR): 2.917, 95% confidence interval (CI): 1.326-6.417, P = 0.008] and cardiovascular death (adjusted HR: 7.026, 95% CI: 1.700-29.030, P = 0.007). Among all domains of the KCL, the cognitive function domain was associated with a higher risk of all-cause death (P = 0.004) and cardiovascular death (P < 0.001). The depression domain remained associated with a higher risk of HF rehospitalization (P = 0.045). The risk for all-cause death increased with an increase in total KCL score (adjusted HR: 1.819, 95% CI: 1.300-2.547, P < 0.001).

CONCLUSIONS

The KCL is a useful tool for risk stratification of adverse outcomes in patients with AHF. Functional declines in psycho-emotional domains including cognitive function and depressed mood contribute to adverse outcomes.

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.

Physical Frailty, Genetic Predisposition, and Incident Heart Failure

Background

There is growing interest in the intersection of frailty and heart failure (HF); however, large-sample longitudinal studies in the general population are lacking.

Objectives

The goal of this study was to examine the longitudinal relationship between frailty and incident HF, and whether age and genetic predisposition could modify this association.

Methods

This prospective cohort study included 340,541 participants (45.7% male; mean age 55.9 ± 8.1 years) free of HF at baseline in the UK Biobank. Frailty was assessed by using the Fried frailty phenotype and included weight loss, exhaustion, low physical activity, slow gait speed, and low grip strength. The weighted polygenetic risk score was calculated. Cox models were used to estimate these associations and the interaction between the 2 factors.

Results

During a median 14.1 years of follow-up, 7,590 patients with HF were documented. Compared with nonfrail participants, both prefrail and frail participants had a positive association with the risk of incident HF (prefrail HR: 1.40 [95% CI: 1.17-1.67]; frail HR: 2.07 [95% CI: 1.67-2.57]). Exhaustion (HR: 1.21; 95% CI: 1.03-1.43), slow gait speed (HR: 1.62; 95% CI: 1.39-1.90), and low grip strength (HR: 1.31; 95% CI: 1.14-1.51) were associated with a greater risk of incident HF. Furthermore, genetic susceptibility did not significantly modify the associations (P interaction = 0.094), and the association was significantly strengthened in younger participants (P interaction = 0.008).

Conclusions

Frailty status was associated with a higher risk of incident HF independent of genetic risk. A younger population may be more susceptible to HF when exposed to frailty. Whether the modification of frailty status represents another avenue for preventing HF warrants further investigation.

Frailty Status Modifies the Efficacy of ICD Therapy for Primary Prevention Among Patients With HF

BACKGROUND

Implantable cardioverter-defibrillator (ICD) therapy is recommended to reduce mortality risk in patients with heart failure with reduced ejection fraction (HFrEF). Frailty is common among patients with HFrEF and is associated with increased mortality risk. Whether the therapeutic efficacy of ICD is consistent among frail and nonfrail patients with HFrEF remains unclear.

OBJECTIVES

The aim of this study was to evaluate the effect modification of baseline frailty burden on ICD efficacy for primary prevention among participants of the SCD-HeFT (Sudden Cardiac Death in Heart Failure Trial).

METHODS

Participants in SCD-HeFT with HFrEF randomized to ICD vs placebo were included. Baseline frailty was estimated using the Rockwood Frailty Index (FI), and participants were stratified into high (FI > median) vs low (FI ≤ median) frailty burden groups. Multivariable Cox models with multiplicative interaction terms (frailty × treatment arm) were constructed to evaluate whether baseline frailty status modified the treatment effect of ICD for all-cause mortality.

RESULTS

The study included 1,676 participants (mean age: 59 ± 12 years, 23% women) with a median FI of 0.30 (IQR: 0.23-0.37) in the low frailty group and 0.54 (IQR: 0.47-0.60) in the high frailty group. In adjusted Cox models, baseline frailty status significantly modified the treatment effect of ICD therapy (Pinteraction = 0.047). In separate stratified analysis by frailty status, ICD therapy was associated with a lower risk of all-cause mortality among participants with low frailty burden (HR: 0.56; 95% CI: 0.40-0.78) but not among those with high frailty burden (HR: 0.86; 95% CI: 0.68-1.09).

CONCLUSIONS

Baseline frailty modified the efficacy of ICD therapy with a significant mortality benefit observed among participants with HFrEF and a low frailty burden but not among those with a high frailty burden.

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.

Unraveling the Paradox: Can Anticoagulation Improve Outcomes in Patients With Heart Failure and Increased Bleeding Risk?

Heart failure (HF) patients frequently present with comorbidities such as atrial fibrillation (AF) or other cardiovascular conditions, elevating their risk of thromboembolic events. Consequently, anticoagulation therapy is often considered for thromboprophylaxis, although its initiation in HF patients is complicated by concomitant bleeding risk factors. This review explores the paradoxical relationship between HF, increased bleeding risk, and the potential benefits of anticoagulation. Through an examination of existing evidence from clinical trials, observational studies, and meta-analyses, we aim to elucidate the role of anticoagulation in HF patients with increased bleeding risk. Despite guidelines recommending anticoagulation for certain HF patients with AF or other thromboembolic risk factors, uncertainty persists regarding the optimal management strategy for those at heightened risk of bleeding. The review discusses the pathophysiological mechanisms linking HF and thrombosis, challenges in bleeding risk assessment, and strategies to minimize bleeding risk while optimizing thromboprophylaxis. Shared decision-making between clinicians and patients is emphasized as essential for individualized treatment plans that balance the potential benefits of anticoagulation against the risk of bleeding complications. Furthermore, it examines emerging anticoagulant agents and their potential role in HF management, highlighting the need for further research to delineate optimal management strategies and inform evidence-based practice. In conclusion, while anticoagulation holds promise for improving outcomes in HF patients, careful consideration of patient-specific factors and ongoing research efforts are essential to optimize therapeutic strategies in this population.

Efficacy of empagliflozin in heart failure with preserved ejection fraction according to frailty status in EMPEROR-Preserved

BACKGROUND

Frailty is a severe, common co-morbidity associated with heart failure (HF) with preserved ejection fraction (HFpEF). The impact of frailty on HFpEF outcomes may affect treatment choices in HFpEF. The impact of frailty on HFpEF patients and any impact on the clinical benefits of sodium glucose co-transporter 2 (SGLT2) inhibition in HFpEF have been described in only a limited number of trials. Whether the SGLT2 inhibitor empagliflozin would improve or worsen frailty status when given to HFpEF patients is also not known. The aims of this study were, therefore, to evaluate, in HFpEF patients enrolled in the EMPEROR-Preserved trial (Empagliflozin Outcome Trial in Patients With Chronic Heart Failure With Preserved Ejection Fraction), the impact of frailty on clinical outcomes, and on the effects of empagliflozin, as well as the effect of empagliflozin on frailty status during treatment period.

METHODS

We calculated a cumulative deficit-derived frailty index (FI) using 44 variables including clinical, laboratory and quality of life parameters recorded in EMPEROR-Preserved. Patients were classified into four groups: non-frail (FI < 0.21), mild frailty (0.21 to <0.30), moderate frailty (0.30 to <0.40) and severe frailty (≥0.40). Clinical outcomes and health-related quality of life were evaluated according to baseline FI along with the effect of empagliflozin on chronological changes in FI (at 12, 32 and 52 weeks).

RESULTS

The patient distribution was 1514 (25.3%), 2100 (35.1%), 1501 (25.1%) and 873 (14.6%) in non-frail, mild frailty, moderate frailty and severe frailty, respectively. Severe frailty patients tended to be female and have low Kansas City Cardiomyopathy Questionnaire (KCCQ) scores, more co-morbidities and more polypharmacy. Incidence rates of the primary outcome of cardiovascular death or HF hospitalization increased as frailty worsened (hazard ratio [HR] of each FI category compared with the non-frail group: 1.10 [95% confidence interval, CI, 0.89-1.35], 2.00 [1.63-2.47] and 2.61 [2.08-3.27] in the mild frailty, moderate frailty and severe frailty groups, respectively; P trend < 0.001). Compared with placebo, empagliflozin reduced the risk for the primary outcome across the four FI categories, HR: 0.59 [95% CI 0.42-0.83], 0.79 [0.61-1.01], 0.77 [0.61-0.96] and 0.90 [0.69-1.16] in non-frail to severe frailty categories, respectively (P value for trend = 0.097). Empagliflozin also improved other clinical outcomes and KCCQ score across frailty categories. Compared with placebo, empagliflozin-treated patients had a higher likelihood of being in a lower FI category at Weeks 12, 32 and 52 (P < 0.05), odds ratio: 1.12 [95% CI 1.01-1.24] at Week 12, 1.21 [1.09-1.34] at Week 32 and 1.20 [1.09-1.33] at Week 52.

CONCLUSIONS

Empagliflozin improved key efficacy outcomes with a possible diminution of effect in very frail patients. Empagliflozin also improved frailty status during follow-up.

Mortality from all-cause and cause-specific in the elderly: Joint implications of anemia and frailty

BACKGROUND

Anemia is prevalent among older adults, and it contributes to the incidence of frailty. In turn, the frail elderly may be deficient in nutrients, including iron, vitamin B-12, and folate, that can be materials for human blood, as a result of their limited nutrient intake, resulting in anemia. Both anemia and frailty are associated with an increased risk of mortality in elderly adults. However, the combined influence of anemia and frailty on mortality is unclear.

METHODS

Data obtained from NHANES 2007-2014 were analyzed in this study. Frailty status was determined using a modified Fried Phenotype, and anemia was defined according to the criteria set by the World Health Organization. Public-use Linked Mortality files until December 31, 2019 were available. The weighted Cox proportional hazard regression models were used to estimate separate effects and joint effects of frailty and anemia on all-cause and cause-specific mortality.

RESULTS

This study analyzed 6,406 participants aged 60 years or older. Over a 13-year follow-up period, considering participants with no anemia and no frailty as reference, participants with both anemia and frailty had nearly fourfold the all-cause (HR (95% CI): 4.03 (2.95,5.52)), more than four-time the cardiovascular (HR (95% CI): 4.24(2.46,7.32)) mortality risk, and above five-time the non-CVD/non-cancer (HR (95% CI): 5.17 (3.58,7.46)) mortality risk.

CONCLUSIONS

The study indicated that older adults who exhibit low levels of hemoglobin and frailty are at the greatest risk for all-cause, cardiovascular, cancer, and non-cancer/non-cardiovascular mortality, with the exception of cancer mortality, which was only increased by anemia.

Clinical Characteristics and Prognostic Impact of Short Physical Performance Battery in Hospitalized Patients with Acute Heart Failure-Results of the PROFUND-IC Registry

BACKGROUND

Most patients diagnosed with heart failure (HF) are older adults with multiple comorbidities. Multipathological patients constitute a population with common characteristics: greater clinical complexity and vulnerability, frailty, mortality, functional deterioration, polypharmacy, and poorer health-related quality of life with more dependency.

OBJECTIVES

To evaluate the clinical characteristics of hospitalized patients with acute heart failure and to determine the prognosis of patients with acute heart failure according to the Short Physical Performance Battery (SPPB) scale.

METHODS

Observational, prospective, and multicenter cohort study conducted from September 2020 to May 2022 in patients with acute heart failure as the main diagnosis and NT-ProBNP > 300 pg. The cohort included patients admitted to internal medicine departments in 18 hospitals in Spain. Epidemiological variables, comorbidities, cardiovascular risk factors, cardiovascular history, analytical parameters, and treatment during admission and discharge of the patients were collected. Level of frailty was assessed by the SPPB scale, and dependence, through the Barthel index. A descriptive analysis of all the variables was carried out, expressed as frequencies and percentages. A bivariate analysis of the SPPB was performed based on the score obtained (SPPB ≤ 5 and SPPB > 5). For the overall analysis of mortality, HF mortality, and readmission of patients at 30 days, 6 months, and 1 year, Kaplan-Meier survival curves were used, in which the survival experience among patients with an SPPB > 5 and SPPB ≤ 5 was compared.

RESULTS

A total of 482 patients were divided into two groups according to the SPPB with a cut-off point of an SPPB < 5. In the sample, 349 patients (77.7%) had an SPPB ≤ 5 and 100 patients (22.30%) had an SPPB > 5. Females (61%) predominated in the group with an SPPB ≤ 5 and males (61%) in those with an SPPB > 5. The mean age was higher in patients with an SPPB ≤ 5 (85.63 years). Anemia was more frequent in patients with an SPPB ≤ 5 (39.5%) than in patients with an SPPB ≥ 5 (29%). This was also seen with osteoarthritis (32.7%, p = 0.000), diabetes (49.6%, p = 0.001), and dyslipidemia (69.6%, p = 0.011). Patients with an SPPB score > 5 had a Barthel index < 60 in only 4% (n = 4) of cases; the remainder of the patients (96%, n = 96) had a Barthel index > 60. Patients with an SPPB > 5 showed a higher probability of survival at 30 days (p = 0.029), 6 months (p = 0.031), and 1 year (p = 0.007) with (OR = 7.07; 95%CI (1.60-29.80); OR: 3.9; 95%CI (1.30-11.60); OR: 6.01; 95%CI (1.90-18.30)), respectively. No statistically significant differences were obtained in the probability of readmission at 30 days, 6 months, and 1 year (p > 0.05).

CONCLUSIONS

Patients admitted with acute heart failure showed a high frequency of frailty as assessed by the SPPB. Patients with an SPPB ≤ 5 had greater comorbidities and greater functional limitations than patients with an SPPB > 5. Patients with heart failure and a Barthel index > 60 frequently presented an SPPB < 5. In daily clinical practice, priority should be given to performing the SPPB in patients with a Barthel index > 60 to assess frailty. Patients with an SPPB ≤ 5 had a higher risk of mortality at 30 days, 6 months, and 1 year than patients with an SPPB ≤ 5. The SPPB is a valid tool for identifying frailty in acute heart failure patients and predicting 30-day, 6-month, and 1-year mortality.

A patient with heart failure, who is frail: How does this affect therapeutic decisions?

Patients with heart failure (HF) are heterogeneous, not only related to comorbidities but also in the presentation of frailty syndrome. Frailty syndrome also affects patients with HF across the lifespan. Frailty in patients with HF has a significant impact on clinical features, diagnosis, management, adverse medical outcomes and costs. In everyday clinical practice, frail patients with HF require an individualized approach, often imposing the need to modify therapeutic decisions. The aim of this review is to illustrate how frailty and multimorbidity in HF can affect therapeutic decisions. The scientific evidence underlying this publication was obtained from an analysis of papers indexed in the PubMed database. The search was limited to articles published between 1990 and July 2022. The search was limited to full-text papers published in English. The database was searched for relevant MeSH phrases and their combinations and keywords including: "elderly, frail"; "frailty, elderly"; "frail older adults"; "frailty, older adults"; "adult, frail older"; "frailty, heart failure"; "frailty, multimorbidity"; "multimorbidity, heart failure"; "multimorbidity, elderly"; "older adults, cardiovascular diseases". In therapeutic decisions regarding patients with HF, additionally burdened with multimorbidity and frailty, it becomes necessary to individualize the approach in relation to optimization and treatment of coexisting diseases, frailty assessment, pharmacological and non-pharmacological treatment and in the implementation of invasive procedures in the form of implantable devices or cardiac surgery.

The Association Between Beta-blocker and Renin-Angiotensin System Inhibitor Use After Heart Failure With Reduced Ejection Fraction Hospitalization and Outcomes in Older Patients

INTRODUCTION

Beta-blockers (BB) and renin-angiotensin system inhibitors (RASi) are foundational for the treatment of heart failure with reduced ejection fraction (HFrEF). However, given the increased risk of side effects in older patients, uncertainty remains as to whether, on net, older patients benefit as much as the younger patients studied in trials.

METHODS AND RESULTS

Using the Get With The Guidelines-Heart Failure registry linked with Medicare data, overlap propensity weighted Cox proportional hazard models were used to examine the association between BB and RASi use at hospital discharge and 30-day and 1-year outcomes among patients with HFrEF. Among the 48,711 patients (aged ≥65 years) hospitalized with HFrEF, there were significant associations between BB and/or RASi use at discharge and lower rates of 30-day and 1-year mortality, including those over age 85 (30-day hazard ratio 0.56, 95% confidence interval 0.45-0.70; 1-year hazard ratio 0.69, 95% confidence interval 0.61-0.78). In addition, the magnitude of benefit associated with BB and/or RASi use after discharge did not decrease with advancing age. Even among the oldest patients, those over age 85, with hypotension, renal insufficiency or frailty, BB and/or RASi use at discharge was still associated with lower 1-year mortality or readmission.

CONCLUSIONS

Among older patients hospitalized with HFrEF, BB and/or RASi use at discharge is associated with lower rates of 30-day and 1-year mortality across all age groups and the magnitude of this benefit does not seem to decrease with advancing age. These data suggest that, absent a clinical contraindication, BB and RASi should be considered in all patients hospitalized with HFrEF before or at hospital discharge, regardless of age.

Multispecialty multidisciplinary input into comorbidities along with treatment optimisation in heart failure reduces hospitalisation and clinic attendance

Aims

Heart failure (HF) is associated with comorbidities which independently influence treatment response and outcomes. This retrospective observational study (January 2020–June 2021) analysed the impact of monthly HF multispecialty multidisciplinary team (MDT) meetings to address management of HF comorbidities and thereby on provision, cost of care and HF outcomes.

Methods

Patients acted as their own controls, with outcomes compared for equal periods (for each patient) pre (HF MDT) versus post-MDT (multispecialty) meeting. The multispecialty MDT comprised HF cardiologists (primary, secondary, tertiary care), HF nurses, nephrologist, endocrinologist, palliative care, chest physician, pharmacist, clinical pharmacologist and geriatrician. Outcome measures were (1) all-cause hospitalisations, (2) outpatient clinic attendances and (3) cost.

Results

334 patients (mean age 72.5±11 years) were discussed virtually through MDT meetings and follow-up duration was 13.9±4 months. Mean age-adjusted Charlson Comorbidity Index was 7.6±2.1 and Rockwood Frailty Score 5.5±1.6. Multispecialty interventions included optimising diabetes therapy (haemoglobin A1c-HbA1c pre-MDT 68±11 mmol/mol vs post-MDT 61±9 mmol/mol; p<0.001), deprescribing to reduce anticholinergic burden (pre-MDT 1.85±0.4 vs 1.5±0.3 post-MDT; p<0.001), initiation of renin–angiotensin aldosterone system inhibitors in HF with reduced ejection fraction (HFrEF) with advanced chronic kidney disease (9% pre vs 71% post-MDT; p<0.001). Other interventions included potassium binders, treatment of anaemia, falls assessment, management of chest conditions, day-case ascitic, pleural drains and palliative support. Total cost of funding monthly multispecialty meetings was £32 400 and resultant 64 clinic appointments cost £9600. The post-MDT study period was associated with reduction in 481 clinic appointments (cost saving £72150) and reduced all-cause hospitalisations (pre-MDT 1.1±0.4 vs 0.6±0.1 post-MDT; p<0.001), reduction of 1586 hospital bed-days and cost savings of £634 400. Total cost saving to the healthcare system was £664 550.

Conclusion

HF multispecialty virtual MDT model provides integrated, holistic care across all healthcare tiers for management of HF and associated comorbidities. This approach is associated with reduced clinic attendances and all-cause hospitalisations, leading to significant cost savings.