Outcomes In Heart Failure Patients Research Articles

Machine Learning-Based Mortality Prediction in Chronic Kidney Disease among Heart Failure Patients: Insights and Outcomes from the Jordanian Heart Failure Registry

Background and Objectives: Heart failure (HF) is a prevalent and debilitating condition that imposes a significant burden on healthcare systems and adversely affects the quality of life of patients worldwide. Comorbidities such as chronic kidney disease (CKD), arterial hypertension, and diabetes mellitus (DM) are common among HF patients, as they share similar risk factors. This study aimed to identify the prognostic significance of multiple factors and their correlation with disease prognosis and outcomes in a Jordanian cohort. Materials and Methods: Data from the Jordanian Heart Failure Registry (JoHFR) were analyzed, encompassing medical records from acute and chronic HF patients attending public and private cardiology clinics and hospitals across Jordan. An online form was utilized for data collection, focusing on three kidney function tests, estimated glomerular filtration rate (eGFR), blood urea nitrogen (BUN), and creatinine levels, with the eGFR calculated using the Cockcroft–Gault formula. We also built six machine learning models to predict mortality in our cohort. Results: From the JoHFR, 2151 HF patients were included, with 644, 1799, and 1927 records analyzed for eGFR, BUN, and creatinine levels, respectively. Age negatively impacted all measures (p ≤ 0.001), while smokers surprisingly showed better results than non-smokers (p ≤ 0.001). Males had more normal eGFR levels compared to females (p = 0.002). Comorbidities such as hypertension, diabetes, arrhythmias, and implanted devices were inversely related to eGFR (all with p-values <0.05). Higher BUN levels were associated with chronic HF, dyslipidemia, and ASCVD (p ≤ 0.001). Higher creatinine levels were linked to hypertension, diabetes, dyslipidemia, arrhythmias, and previous HF history (all with p-values <0.05). Low eGFR levels were associated with increased mechanical ventilation needs (p = 0.049) and mortality (p ≤ 0.001), while BUN levels did not significantly affect these outcomes. Machine learning analysis employing the Random Forest Classifier revealed that length of hospital stay and creatinine >115 were the most significant predictors of mortality. The classifier achieved an accuracy of 90.02% with an AUC of 80.51%, indicating its efficacy in predictive modeling. Conclusions: This study reveals the intricate relationship among kidney function tests, comorbidities, and clinical outcomes in HF patients in Jordan, highlighting the importance of kidney function as a predictive tool. Integrating machine learning models into clinical practice may enhance the predictive accuracy of patient outcomes, thereby supporting a more personalized approach to managing HF and related kidney dysfunction. Further research is necessary to validate these findings and to develop innovative treatment strategies for the CKD population within the HF cohort.

Sleep Apnea and Heart Failure-Current State-of-The-Art.

Sleep-disordered breathing (SDB), including obstructive and central sleep apnea, significantly exacerbates heart failure (HF) through adverse cardiovascular mechanisms. This review aims to synthesize existing literature to clarify the relationship between SDB and HF, focusing on the pathophysiological mechanisms, diagnostic challenges, and the effectiveness of treatment modalities like continuous positive airway pressure (CPAP) and adaptive servo-ventilation ASV. We analyzed peer-reviewed articles from 2003 to 2024 sourced from PubMed, EMBASE, Scopus, and Web of Science databases. The prevalence of SDB in HF patients is high, often underdiagnosed, and underappreciated. Management strategies, including CPAP and ASV, have been shown to mitigate symptoms and improve cardiac function. However, despite the availability of effective treatments, significant challenges in screening and diagnosis persist, affecting patient management and outcomes. DB significantly impacts HF prognosis. Enhanced screening strategies and broader utilization of therapeutic interventions like CPAP and ASV are essential to improve the management and outcomes of HF patients with concomitant SDB. Future research should focus on refining diagnostic and treatment protocols to optimize care for HF patients with SDB.

Association between triglyceride glucose-body mass index and long-term adverse outcomes of heart failure patients with coronary heart disease

BackgroundThe triglyceride glucose-body mass index (TyG-BMI) is recognized as a reliable surrogate for evaluating insulin resistance and an effective predictor of cardiovascular disease. However, the link between TyG-BMI index and adverse outcomes in heart failure (HF) patients remains unclear. This study examines the correlation of the TyG-BMI index with long-term adverse outcomes in HF patients with coronary heart disease (CHD).MethodsThis single-center, prospective cohort study included 823 HF patients with CHD. The TyG-BMI index was calculated as follows: ln [fasting triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2] × BMI. To explore the association between the TyG-BMI index and the occurrences of all-cause mortality and HF rehospitalization, we utilized multivariate Cox regression models and restricted cubic splines with threshold analysis.ResultsOver a follow-up period of 9.4 years, 425 patients died, and 484 were rehospitalized due to HF. Threshold analysis revealed a significant reverse “J”-shaped relationship between the TyG-BMI index and all-cause mortality, indicating a decreased risk of all-cause mortality with higher TyG-BMI index values below 240.0 (adjusted model: HR 0.90, 95% CI 0.86–0.93; Log-likelihood ratio p = 0.003). A distinct “U”-shaped nonlinear relationship was observed with HF rehospitalization, with the inflection point at 228.56 (adjusted model: below: HR 0.95, 95% CI 0.91–0.98; above: HR 1.08, 95% CI 1.03–1.13; Log-likelihood ratio p < 0.001).ConclusionsThis study reveals a nonlinear association between the TyG-BMI index and both all-cause mortality and HF rehospitalization in HF patients with CHD, positioning the TyG-BMI index as a significant prognostic marker in this population.

Self-care behavior and associated factors among adult heart failure patients in outpatient cardiac follow-up unit at Wachemo University Nigist Eleni Comprehensive Specialized Hospital, Southern Ethiopia

BackgroundHeart failure is a serious medical condition that occurs when the heart is unable to pump sufficient blood to meet the needs of the tissues. Good self-care is an essential behavior in long term management and maintenance of physiologic stability, better medical and person-centered outcomes. Poor self-care behavior deteriorates the outcomes of heart failure patients. However, there were no sufficient evidences that illustrate the topic in the country, including the study area.MethodologyInstitutional based cross-sectional study was conducted among 250 heart failure patients from July 5-August 4, 2021. All adult heart failure patients who fulfill the inclusion criteria and have appointment during study period were included in the study. Interview and medical chart review was used to collect data. Epidata version 3.1 and SPSS version 20 were used for data entry and analysis respectively. Bivariate and multivariable analysis was computed. The model fitness was checked by Hosmer and Lemeshow test.ResultsFrom the total patients, 240 were interviewed with the response rate of 96%. Among these, 140(58.3%) [95% CI: 52.6, 64.9] had poor self-care behavior. Age>54: 9.891 [2.228, 43.922], poor knowledge: 6.980[1.065, 45.727], depression: 4.973[1.107, 22.338], low social support: 6.060[1.373, 26.739], insomnia: 4.801[1.019, 22.622] and duration with heart failure <1 year: 5.782[1.438, 23.247] were factors associated with poor self-care behavior.ConclusionIn this study, more than half of participants attending at Wachemo University Nigist Eleni Comprehensive Specialized Hospital in outpatient cardiac follow-up unit had poor self-care behavior. Of the study variables, older age, poor knowledge, depressive symptoms, low social support, insomnia and short duration with heart failure were related with poor self-care behavior. Thus, the findings highlight importance of assessing level of self-care behavior and implicate direction to take action to enhance level of self-care behavior.

Leveraging home health aides to improve outcomes in heart failure: A pilot study protocol

Heart failure (HF) affects six million people in the U.S., is associated with high morbidity, mortality, and healthcare utilization.(1, 2) Despite a decade of innovation, the majority of interventions aimed at reducing hospitalization and readmissions in HF have not been successful.(3–7) One reason may be that most have overlooked the role of home health aides and attendants (HHAs), who are often highly involved in HF care.(8–13) Despite their contributions, studies have found that HHAs lack specific HF training and have difficulty reaching their nursing supervisors when they need urgent help with their patients. Here we describe the protocol for a pilot randomized control trial (pRCT) assessing a novel stakeholder-engaged intervention that provides HHAs with a) HF training (enhanced usual care arm) and b) HF training plus a mobile health application that allows them to chat with a nurse in real-time (intervention arm). In collaboration with the VNS Health of New York, NY, we will conduct a single-site parallel arm pRCT with 104 participants (HHAs) to evaluate the feasibility, acceptability, and effectiveness (primary outcomes: HF knowledge; HF caregiving self-efficacy) of the intervention among HHAs caring for HF patients. We hypothesize that educating and better integrating HHAs into the care team can improve their ability to provide support for patients and outcomes for HF patients as well (exploratory outcomes include hospitalization, emergency department visits, and readmission). This study offers a novel and potentially scalable way to leverage the HHA workforce and improve the outcomes of the patients for whom they care.Clinical trial.gov registration: NCT04239911

Improving therapeutic outcomes in heart failure with reduced nonvalvular ejection fraction: A clinical study of heart failure education intervention.

The current study delves into the impact of heart failure education intervention on improving therapeutic outcomes for heart failure (HF) patients with reduced nonvalvular ejection fraction. There involved a total of 60 HF patients with non-valvular ejection fraction reduction who met the inclusion requirements. Patients enrolled were randomly distributed into an observation group and a control group. The observation group received heart failure education intervention, while the control group received conventional intervention. The therapeutic effect, changes in physical indicators, cardiac function indicators, coagulation function, self-management scale scores, and the incidence of adverse cardiovascular events were meticulously evaluated. The total effective proportion in the observation group was 96.67%, which was significantly higher than the control group's proportion of 76.67% (p < .05). After treatment, several parameters in the observation group showed significant improvements compared to the control group: hs-CRP, IL-6, LVEDV value, LVESV value, PT value, APTT value, and TT value were all evidently lower in the observation group. Additionally, the cardiac index, LVEF value, and heart failure self-management scale fraction were significantly higher in the observation group compared to the control group (p < .05). Furthermore, the incidence of adverse cardiovascular events in the observation group was only 6.67%, which was significantly lower than the control group's incidence of 20.00% (p < .05). Heart failure education intervention demonstrates effectiveness in improving the therapeutic outcomes for HF patients and reduced nonvalvular ejection fraction. Additionally, it enhances patients' self-management abilities. Given these positive results, it is highly recommended to promote and implement HF education intervention in clinical practice.

Associations Between Volume of Early Intravenous Fluid and Hospital Outcomes in Septic Patients With and Without Heart Failure: A Retrospective Cohort Study.

To evaluate the relationship between early IV fluid volume and hospital outcomes, including death in-hospital or discharge to hospice, in septic patients with and without heart failure (HF). A retrospective cohort study using logistic regression with restricted cubic splines to assess for nonlinear relationships between fluid volume and outcomes, stratified by HF status and adjusted for propensity to receive a given fluid volume in the first 6 hours. An ICU subgroup analysis was performed. Secondary outcomes of vasopressor use, mechanical ventilation, and length of stay in survivors were assessed. An urban university-based hospital. A total of 9613 adult patients were admitted from the emergency department from 2012 to 2021 that met electronic health record-based Sepsis-3 criteria. Preexisting HF diagnosis was identified by the International Classification of Diseases codes. None. There were 1449 admissions from patients with HF. The relationship between fluid volume and death or discharge to hospice was nonlinear in patients without HF, and approximately linear in patients with HF. Receiving 0-15 mL/kg in the first 6 hours was associated with lower likelihood of death or discharge to hospice compared with 30-45 mL/kg (odds ratio = 0.61; 95% CI, 0.41-0.90; p = 0.01) in HF patients, but no significant difference for non-HF patients. A similar pattern was identified in ICU admissions and some secondary outcomes. Volumes larger than 15-30 mL/kg for non-HF patients and 30-45 mL/kg for ICU-admitted non-HF patients were not associated with improved outcomes. Early fluid resuscitation showed distinct patterns of potential harm and benefit between patients with and without HF who met Sepsis-3 criteria. Restricted cubic splines analysis highlighted the importance of considering nonlinear fluid outcomes relationships and identified potential points of diminishing returns (15-30 mL/kg across all patients without HF and 30-45 mL/kg when admitted to the ICU). Receiving less than 15 mL/kg was associated with better outcomes in HF patients, suggesting small volumes may be appropriate in select patients. Future studies may benefit from investigating nonlinear fluid-outcome associations and a focus on other conditions like HF.

Prognostic value of growth differentiation factor-15 in heart failure among whole ejection fraction phenotypes.

The utility of growth differentiation factor-15 (GDF-15) in predicting long-term adverse outcomes in heart failure (HF) patients is not well established. This study explored the relationship between GDF-15 levels and adverse outcomes in HF patients across various ejection fraction (EF) phenotypes associated with coronary heart disease (CHD) and evaluated the added prognostic value of incorporating GDF-15 into the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) risk score-based model. This single-centre cohort study included 823 HF patients, categorized into 230 (27.9%) reduced EF (HFrEF), 271 (32.9%) mid-range EF (HFmrEF), and 322 (39.1%) preserved EF (HFpEF) groups. The median age was 68.0years (range: 56.0-77.0), and 245 (29.8%) were females. Compared with the HFrEF and HFmrEF groups, the HFpEF group had a higher GDF-15 concentration (P=0.002) and a higher MAGGIC risk score (P<0.001). We examined the associations between GDF-15 levels and the risks of all-cause mortality and HF rehospitalization using Cox regression models. The C-index, integrated discrimination improvement (IDI), and net reclassification improvement (NRI) metrics were employed to assess the incremental prognostic value. During the 9.4year follow-up period, 425 patients died, and 484 were rehospitalized due to HF. Multivariate Cox regression analysis revealed that elevated GDF-15 levels were significantly associated with an increased risk of all-cause mortality [hazard ratio (HR)=1.36, 95% confidence interval (CI): 1.20-1.54; P<0.001] and HF rehospitalization (HR=1.75, 95% CI: 1.57-1.95; P<0.001) across all HF phenotypes. This association remained significant when GDF-15 was treated as a categorical variable (high GDF-15 group: all-cause death: HR=1.73, 95% CI: 1.40-2.14; P<0.001; HF rehospitalization: HR=3.37, 95% CI: 2.73-4.15; P<0.001). Inclusion of GDF-15 in the MAGGIC risk score-based model provided additional prognostic value for all HF patients (Δ C-index=0.021, 95% CI: 0.002-0.041; IDI=0.011, 95% CI: 0.001-0.025; continuous NRI=0.489, 95% CI: 0.174-0.629) and HF rehospitalization (Δ C-index=0.034, 95% CI: 0.005-0.063; IDI=0.021, 95% CI: 0.007-0.032; continuous NRI=0.307, 95% CI: 0.147-0.548), particularly in the HFpEF subgroup. GDF-15 is identified as an independent risk factor for adverse outcomes in HF patients across the entire EF spectrum in the context of CHD. Integrating GDF-15 into the MAGGIC risk score-based model enhances its prognostic capability for adverse outcomes in the general HF population. This incremental prognostic effect was observed specifically in the HFpEF subgroup and not in other subgroups.

An Era of Digital Healthcare-A Comprehensive Review of Sensor Technologies and Telehealth Advancements in Chronic Heart Failure Management.

Heart failure (HF) is a multi-faceted, complex clinical syndrome characterized by significant morbidity, high mortality rate, reduced quality of life, and rapidly increasing healthcare costs. A larger proportion of these costs comprise both ambulatory and emergency department visits, as well as hospital admissions. Despite the methods used by telehealth (TH) to improve self-care and quality of life, patient outcomes remain poor. HF management is associated with numerous challenges, such as conflicting evidence from clinical trials, heterogeneity of TH devices, variability in patient inclusion and exclusion criteria, and discrepancies between healthcare systems. A growing body of evidence suggests there is an unmet need for increased individualization of in-hospital management, continuous remote monitoring of patients pre and post-hospital admission, and continuation of treatment post-discharge in order to reduce re-hospitalizations and improve long-term outcomes. This review summarizes the current state-of-the-art for HF and associated novel technologies and advancements in the most frequently used types of TH (implantable sensors), categorizing devices in their preclinical and clinical stage, bench-to-bedside implementation challenges, and future perspectives on remote HF management to improve long-term outcomes of HF patients. The Review also highlights recent advancements in non-invasive remote monitoring technologies demonstrated by a few pilot observational prospective cohort studies.

Blood groups and Rhesus status as potential predictors of outcomes in patients with cardiac resynchronisation therapy

Cardiac resynchronisation therapy (CRT) improves prognosis in patients with heart failure (HF) however the role of ABO blood groups and Rhesus factor are poorly understood. We hypothesise that blood groups may influence clinical and survival outcomes in HF patients undergoing CRT. A total of 499 patients with HF who fulfilled the criteria for CRT implantation were included. Primary outcome of all-cause mortality and/or heart transplant/left ventricular assist device was assessed over a median follow-up of 4.6 years (IQR 2.3–7.5). Online repositories were searched to provide biological context to the identified associations. Patients were divided into blood (O, A, B, and AB) and Rhesus factor (Rh-positive and Rh-negative) groups. Mean patient age was 66.4 ± 12.8 years with a left ventricular ejection fraction of 29 ± 11%. There were no baseline differences in age, gender, and cardioprotective medication. In a Cox proportional hazard multivariate model, only Rh-negative blood group was associated with a significant survival benefit (HR 0.68 [0.47–0.98], p = 0.040). No association was observed for the ABO blood group (HR 0.97 [0.76–1.23], p = 0.778). No significant interaction was observed with prevention, disease aetiology, and presence of defibrillator. Rhesus-related genes were associated with erythrocyte and platelet function, and cholesterol and glycated haemoglobin levels. Four drugs under development targeting RHD were identified (Rozrolimupab, Roledumab, Atorolimumab, and Morolimumab). Rhesus blood type was associated with better survival in HF patients with CRT. Further research into Rhesus-associated pathways and related drugs, namely whether there is a cardiac signal, is required.

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.

What to do with foundation therapies for heart failure for patients with end-stage kidney disease on haemodialysis.

There is a significant burden of cardiovascular disease morbidity and mortality in the end-stage kidney disease population, driven by traditional and non-traditional risk factors. Despite its prevalence, heart failure is difficult to diagnose in the dialysis population due to overlapping clinical presentations, limitations of investigations, and the impact on the cardiorenal axis. 'Foundation therapies' are the key medications which improve patient outcomes in heart failure with reduced ejection fraction and include beta-blockers, renin-angiotensin-aldosterone system inhibitors and sodium-glucose cotransporter-2 inhibitors. They are underutilised in the dialysis population due to the exclusion of chronic kidney disease patients from major trials and legitimate clinical concerns e.g. hyperkalaemia, intradialytic hypotension and residual kidney function preservation. A coordinated cardiorenal multidisciplinary approach can guide appropriate diagnostic considerations (biomarkers interpretation, imaging, addressing unique complications of kidney disease), optimise dialysis management (prescription length, frequency and ultrafiltration targets) and when at euvolaemia facilitate the stepwise introduction of appropriate foundation therapies.

Interaction of left ventricular size with the outcome of cardiac resynchronization therapy in Japanese patients.

We analyzed the influence of the QRS duration (QRSd) to LV end-diastolic volume (LVEDV) ratio on cardiac resynchronization therapy (CRT) outcomes in heart failure patients classified as III/IV per the New York Heart Association (NYHA) and with small body size. We proposed the hypothesis that the QRSd/LV size ratio is a better index of the CRT substrate. We enrolled 114 patients with advanced heart failure (NYHA class III/IV, and LV ejection fraction >35%) who received a CRT device, including those with left bundle branch block (LBBB) and QRSd ≥120 milliseconds (n = 60), non-LBBB and QRSd ≥150 milliseconds (n = 30) and non-LBBB and QRSd of 120-149 milliseconds (n = 24). Over a mean follow-up period of 65 ± 58 months, the incidence of the primary endpoint, a composite of all-cause death and hospitalization for heart failure, showed no significant intergroup difference (43.3% vs. 50.0% vs. 37.5%, respectively, p = .72). Similarly, among 104 patients with QRSd/LVEDV ≥ 0.67 (n = 54) and QRSd/LVEDV < 0.67 (n = 52), no significant differences were observed in the incidence of the primary endpoint (35.1% vs. 51.9%, p = .49). Nevertheless, patients with QRSd/LVEDV ≥ 0.67 showed better survival than those with QRSd/LVEDV < 0.67 (14.8% vs. 34.6%, p = .0024). Advanced HF patients with a higher QRSd/LVEDV ratio showed better survival in this small-body-size population. Thus, the risk is concentrated among those with a larger QRSd, and patients with a relatively smaller left ventricular size appeared to benefit from CRT.

Comparative effectiveness of ehealth self-management interventions for patients with heart failure: A Bayesian network meta-analysis

ObjectiveThis study evaluated the effectiveness of electronic self-management support interventions in reducing all-cause mortality, cardiovascular mortality, readmission rates, and HF-related readmission in heart failure patients. MethodsFollowing the PRISMA-P guidelines and PRISMS taxonomy, we searched Pubmed, Cochrane Library, and Embase for RCTs and trials of electronic health technologies for heart failure interventions. Develop support programs in advance for education, monitoring, reminders, or a combination of these to screen and categorize studies. The Cochrane ROB2 tool was used to assess the risk of bias. ResultsThe monitoring interventions may improve all-cause mortality (OR 0.77, 95% CI 0.63 to 0.93) and cardiovascular mortality (OR 0.75, 95% CI 0.61 to 0.93) compared to usual care. Reminder interventions were associated with significantly reducing readmission rates (OR 0.07, 95% CI 0.00 to 0.94). Mixed interventions were most effective in reducing HF-related readmission rates (OR 0.75, 95% CI 0.56 to 0.99). ConclusionElectronic self-management interventions, particularly monitoring and reminders, can potentially improve outcomes of heart failure patients, including reducing all-cause mortality, cardiovascular mortality, and readmission rates. Practice ImplicationsThe eHealth model and the combination of self-management are significant for long-term intervention in patients with HF to improve their quality of life and prognosis.

Adapting an evidence-based, home cardiac rehabilitation programme for people with heart failure and their caregivers to the Danish context: DK:REACH-HF study.

Adapting interventions with an existing evidence base offers a more efficient approach than development of a new intervention. The aim of this study was to describe the process of adapting a home-based cardiac rehabilitation (CR) programme (REACH-HF) intervention originally developed in the United Kingdom for people with heart failure (HF) to the Danish health system - the 'DK:REACH-HF' programme. We followed methodological framework for the conduct and reporting of studies adapting interventions, utilizing documentary analysis, qualitative interviews, stakeholder consultations, and mapping of the Danish policy context. Our study found broad support for the REACH-HF intervention as an alternative to existing centre-based CR. We also identified three key areas of adaptation for the Danish context. First, reduce the word-count of the intervention's resources by linking to existing publicly available CR materials. Second, whilst retaining REACH-HF core components, adapt its content and delivery to reflect differences between Denmark and United Kingdom. Thirdly, to develop a digital version of the intervention. Using an evidence-based approach, we successfully adapted the REACH-HF intervention to the context of the Danish healthcare setting, maintaining core components of the original intervention, and developing both a paper based and digital version of the programme material. To inform scaled national implementation of the DK:REACH-HF programme, we seek to undertake a pilot study to test the adapted intervention materials feasibility and acceptability to healthcare practitioners, patients, and their caregivers and confirm the positive impact on the outcomes of HF patients and caregivers.

Effects of the valsartan recall on heart failure patients: A nationwide analysis.

Valsartan is commonly used for cardiac conditions. In 2018, the Food and Drug Administration recalled generic valsartan due to the detection of impurities. Our objective was to determine if heart failure patients receiving valsartan at the recall date had a greater likelihood of unfavorable outcomes than patients using comparable antihypertensives. We conducted a cohort study of Optum's de-identified Clinformatics® Datamart (July 2017-January 2019). Heart failure patients with commercial or Medicare Advantage insurance who received valsartan were compared to persons who received non-recalled angiotensin receptor blockers (ARBs) and angiotensin converting enzyme-inhibitors (ACE-Is) for 1 year prior and including the recall date. Outcomes included a composite for all-cause hospitalization, emergency department (ED), and urgent care (UC) use and a measure of cardiac events which included hospitalizations for acute myocardial infarction and hospitalizations/ED/UC visits for stroke/transient ischemic attack, heart failure or hypertension at 6-months post-recall. Cox proportional hazard models with propensity score weighting compared the risk of outcomes between groups. Of the 87 130 adherent patients, 15% were valsartan users and 85% were users of non-recalled ARBs/ACE-Is. Valsartan use was not associated with an increased risk of all-cause hospitalization/ED/UC use six-months post-recall (HR 1.00; 95% CI 0.96-1.03), compared with individuals taking non-recalled ARBs/ACE-Is. Similarly, cardiac events 6-months post-recall did not differ between individuals on valsartan and non-recalled ARBs/ACE-Is (HR 1.04; 95% CI 0.97-1.12). The valsartan recall did not affect short-term outcomes of heart failure patients. However, the recall potentially disrupted the medication regimens of patients, possibly straining the healthcare system.

Abstract P272: Association of Depression and Handgrip Strength With Morbidity and Mortality in Patients With Heart Failure: A Secondary Analysis From a Randomized Controlled Trial

Introduction: Depression is associated with increased morbidity and mortality in patients with heart failure (HF). Handgrip strength (HGS) is a measure of sarcopenia and lower HGS has been associated with adverse HF outcomes. We hypothesized that relationships between HGS and morbidity and mortality would be moderated by depression in HF patients. Methods: We conducted a secondary analysis of patients hospitalized with HF categorized by depression status. We calculated HGS adjusted for body weight and categorized the values into tertiles, from lowest to highest. We fitted Cox proportional hazards models to estimate hazard ratios (HRs) comparing HGS tertiles in relation to 5-year mortality and 1-year readmissions among depressed and non-depressed and tested whether relationships differ by depression status. Models included HGS tertile, depression status, tertile-by-depression interaction, age, sex, race, medical comorbidities, educational attainment, employment, and HF severity. Results: A total of 494 patients were included in the analysis (mean age 63.4 ± 13.4 years, 44% female, 26% non-white race). A total of 83% of patients had depression and the mean LVEF (SD) was 27.8% (9.2). At 12-months following the index hospitalization the readmission rate was 56% (275 of 494), and the 5-year mortality rate was 41% (204 of 494). Individuals with higher HGS (tertile 2) were less likely to be readmitted compared to tertile 1 (46% vs. 63%; P=0.013). Depression status significantly moderated the relationship between HGS and readmission such that strong handgrip strength predicted readmission among depressed (adjusted HR of 0.35 (95% CI; 0.16, 0.81) comparing tertile 2 to tertile 1) but not among non-depressed patients (0.77 (0.55, 1.06)). However, the HGS-mortality relationship was not moderated by depression. Conclusion: HGS is a predictor of hospital readmission among HFrEF patients, and depression is a moderator of the HGS-readmission relationship. We recommend routinely assessing hospitalized HFrEF patients’ HGS and mood symptoms prior to discharge home, and further research is needed to assess the effects of depression on sarcopenia in its relation to clinical outcomes in HF patients.

Cognitive impairment in chronic heart failure. How new therapeutic options for the treatment of chronic heart failure affect cognitive function?

Heart failure is a serious chronic illness and a global healthcare problem. Patients with heart failure have increased hospital readmission rates and mortality around the world. Heart failure often coexists with comorbidities of which cognitive impairment is particularly important. Сognitive impairment is present in around 30% to 80% in heart failure decreases quality of life and increases the frequency of repeated hospitalizations, increases mortality and worsens the prognosis in such patients. Despite existing research, the underlying pathophysiology of the relationship between heart failure and cognitive impairment remains poorly understood. The article discusses the best available evidence concerning different pathophysiological mechanisms behind cognitive impairment in individuals with heart failure. Heart failure and cognitive impairment have a number of common pathophysiological pathways including reduced cerebral blood flow, inflammation, neurohumoral activations, oxidative stress and changes in serum biomarkers or proteins. Understanding the pathophysiology of diseases will allow the effective evaluation of health status and development of suitable treatments. Prompt detection of cognitive impairment will bring about better clinical outcomes in heart failure patients. This review raises questions about the relationship between heart failure and cognitive dysfunction, provides evidence on the impact of new therapeutic options for treating heart failure on cognitive function, and suggests potential future research directions. For example, implantation of an artificial left ventricle may improve cognitive function; however, there are studies on immediate improvement in cognitive function followed by gradual deterioration over time after implantation of an artificial left ventricle, which requires long-term study In addition, evidence is provided for the effectiveness of using a relaxation scenario in virtual reality technology to reduce anxiety and affective complaints in somatic hospitalized patients, but the ability to improve cognitive function in patients with chronic heart failure remains to be explored.

Low-density lipoprotein cholesterol, erythrocyte, and platelet in heart failure with preserved ejection fraction.

Low-density lipoprotein cholesterol (LDL-C), anaemia and low platelets have been associated with worse clinical outcomes in heart failure patients. We investigated the relationship between the combination of these three components and clinical outcome in patients with heart failure with preserved ejection fraction (HFpEF). We examined the data of 1021 patients with HFpEF hospitalized with acute decompensated heart failure (HF) from the PURSUIT-HFpEF registry, a prospective, multicenter observational study. The enrolled patients were classified into four groups by an LEP (LDL-C, Erythrocyte, and Platelet) score of 0 to 3 points, with 1 point each for LDL-C, erythrocyte and platelet values less than the cut-off values as calculated by receiver operating characteristic curve analysis. The endpoint, a composite of all-cause death and HF readmission, was evaluated among the four groups. Median follow-up duration was 579 [300, 978] days. Risk of the composite endpoint significantly differed among the four groups (P<0.001). Kaplan-Meier analysis showed that the groups with an LEP score of 2 had higher risk of the composite endpoint than those with an LEP score of 0 or 1 (P<0.001, and P=0.013, respectively), while those with an LEP score of 3 had higher risk than those with an LEP score of 0, 1 or 2 (P<0.001, P<0.001 and P=0.020, respectively). Cox proportional hazards analysis showed that an LEP score of 3 was significantly associated with the composite endpoint (P=0.030). Kaplan-Meier analysis showed that risk of the composite of all-cause death and HF readmission was significantly higher in low LDL values (less than the cut-off values as calculated by receiver operating characteristic curve analysis) patients with statin use than in those without statin use (log rank P=0.002). LEP score, which comprehensively reflects extra-cardiac co-morbidities, is significantly associated with clinical outcomes in HFpEF patients.

Pharmacological Treatment of Heart Failure: Recent Advances.

Heart failure is a clinical condition with high mortality and morbidity that occurs when the heart is unable to pump enough blood to meet the metabolic demands of the body. The pharmacological management of heart failure has been revolutionized over the past decade with novel treatments. The aim of the review is to highlight the recent pharmacological advances in the management of heart failure. Sodium-glucose cotransporter-2 inhibitor (SGLT2i), iron carboxymaltose, finerenone, omecamtiv mecarbil, and vericiguat have been shown to reduce hospitalization for heart failure. However, only SGLT2i, vericiguat, and omecamtiv mecarbil have been shown to reduce cardiovascular death. Finerenone has been shown to reduce cardiovascular events and renal adverse outcomes in patients with diabetes and kidney disease. Currently, only SGLT2i has been studied in patients beyond the heart failure with reduced ejection fraction population. The current quadruple therapy in the treatment of heart failure has demonstrated a reduction in the hospitalization of patients and a decrease in mortality associated with the condition. Individualized heart failure therapy research have shown some benefit in select heart failure patients. Further research on novel therapies will help improve heart failure patient outcomes.