Global Public Health Burden of Heart Failure

NPLOC4 aggravates heart failure by regulating ROS and mitochondrial function

Heart failure (HF) is a leading cause of morbidity and mortality worldwide, necessitating the discovery of new therapeutic targets. NPLOC4 is known as an endoplasmic reticulum protein involved in protein degradation and cellular stress responses. Herein, NPLOC4 was investigated for its role in HF using a transverse aortic constriction (TAC) mouse model and an Angiotensin II (Ang II)-induced H9c2 cardiomyocyte model. Transcriptomic analysis revealed NPLOC4 upregulation in HF. NPLOC4 knockdown in the TAC model inhibited HF progression, as evidenced by reduced cardiac hypertrophy and fibrosis. Subsequent knockdown experiments showed the relievement in heart failure phenotypes, reduced reactive oxygen species (ROS) levels and enhanced mitochondrial function caused by NPLOC4 depletion in Ang II-induced H9c2 cells. STRING analysis predicted ERO1α as a potential NPLOC4 interactor, with further studies identifying that NPLOC4 knockdown increases ERO1α expression and disrupts mitochondria-associated membranes (MAMs). Additionally, NPLOC4 knockdown modulated the β-catenin/GSK3β pathway, enhancing mitochondrial dynamics and mitophagy. These findings suggest NPLOC4 as a promising therapeutic target for HF.

Network pharmacology integrated with experimental validation to elucidate the mechanisms of action of the Guizhi-Gancao Decoction in the treatment of phenylephrine-induced cardiac hypertrophy

CONTEXT

The mechanisms of Traditional Chinese Medicine (TCM) Guizhi-Gancao Decoction (GGD) remain unknown.

OBJECTIVE

This study explores the mechanisms of GGD against cardiac hypertrophy.

MATERIALS AND METHODS

Network pharmacology analysis was carried out to identify the potential targets of GGD. In vivo experiments, C57BL/6J mice were divided into Con, phenylephrine (PE, 10 mg/kg/d), 2-chloroadenosine (CADO, the stable analogue of adenosine, 2 mg/kg/d), GGD (5.4 g/kg/d) and GGD (5.4 g/kg/d) + CGS15943 (a nonselective adenosine receptor antagonist, 4 mg/kg/d). In vitro experiments, primary neonatal rat cardiomyocytes (NRCM) were divided into Con, PE (100 µM), CADO (5 µM), GGD (10-5 g/mL) and GGD (10-5 g/mL) + CGS15943 (5 µM). Ultrasound, H&E and Masson staining, hypertrophic genes expression and cell surface area were conducted to verify the GGD efficacy. Adenosine receptors (ADORs) expression were tested via real-time polymerase chain reaction (PCR), western blotting and immunofluorescence analysis.

RESULTS

Network pharmacology identified ADORs among those of the core targets of GGD. In vitro experiments demonstrated that GGD attenuated PE-induced increased surface area (with an EC50 of 5.484 × 10-6 g/mL). In vivo data shown that GGD attenuated PE-induced ventricular wall thickening. In vitro and in vivo data indicated that GGD alleviated PE-induced hypertrophic gene expression (e.g., ANP, BNP and MYH7/MYH6), A1AR over-expression and A2aAR down-expression. Moreover, CADO exerts effects similar to GGD, whereas CGS15943 eliminated most effects of GGD.

DISCUSSION AND CONCLUSIONS

Our findings suggest the mechanism by which GGD inhibits cardiac hypertrophy, highlighting regulation of ADORs as a potential therapeutic strategy for HF.

Sleep Deficiency: A Symptoms Perspective: Exemplars from Chronic Heart Failure, Inflammatory Bowel Disease, and Breast Cancer

Sleep deficiency is associated with disabling daytime symptoms, including excessive daytime sleepiness (EDS) and fatigue. The purpose of this article is to discuss the contributions of sleep deficiency and sleep disorders to fatigue and EDS among people with chronic conditions. We use exemplars from the literature on chronic heart failure, inflammatory bowel disease, and breast cancer to (1) describe the prevalence of fatigue and EDS and their consequences; (2) examine the evidence for the contributions of sleep deficiency and sleep disorders to these symptoms; and (3) recommend implications for future research and practice.

The rise of Telecardiology in developing countries

Telecardiology, the remote diagnosis and treatment of cardiac conditions, is experiencing a significant increase in developing nations. This article explores the driving forces behind this trend and its implications. Limited access to healthcare facilities, especially in rural, isolated, and underdeveloped regions, has propelled the adoption of telecardiology as a cost-effective solution to bridge the gap in cardiac care provision. Technological advancements, such as portable diagnostic devices and improvements in telecommunication infrastructure, have facilitated the expansion of telecardiology services. Moreover, the COVID-19 pandemic has accelerated the acceptance and deployment of telehealth solutions worldwide. Nevertheless, challenges persist, including regulatory hurdles, data privacy concerns, and disparities in digital literacy. Despite these obstacles, the rise of telecardiology in developing countries presents a promising opportunity to enhance access to cardiac care and improve health outcomes among underserved populations.

Leveraging calcium score CT radiomics for heart failure risk prediction

Studies have used extensive clinical information to predict time-to-heart failure (HF) in patients with and without diabetes mellitus (DM). We aimed to determine a screening method using only computed tomography calcium scoring (CTCS) to assess HF risk. We analyzed CTCS scans from 1,998 patients (336 with type 2 diabetes) from a no-charge coronary artery calcium score registry (CLARIFY Study, Clinicaltrials.gov NCT04075162). We used deep learning to segment epicardial adipose tissue (EAT) and engineered radiomic features of calcifications ("calcium-omics") and EAT ("fat-omics"). We developed models incorporating radiomics to predict risk of incident HF in patients with and without type 2 diabetes. At a median follow-up of 1.7 years, 5% had incident HF. In the overall cohort, fat-omics (C-index: 77.3) outperformed models using clinical factors, EAT volume, Agatston score, calcium-omics, and calcium-and-fat-omics to predict HF. For DM patients, the calcium-omics model (C-index: 81.8) outperformed other models. In conclusion, CTCS-based models combining calcium and fat-omics can predict incident HF, outperforming prediction scores based on clinical factors.Please check article title if captured correctly.YesPlease check and confirm that the authors and their respective affiliations have been correctly identified and amend if necessary.Yes.

Patterns and factors associated with electrolyte abnormalities among patients with heart failure in Uganda

BACKGROUND

Electrolyte abnormalities (EAs) worsen the clinical course of patients with heart failure (HF). The patterns of EAs vary among patients with HF. This study investigated patterns and factors associated with EAs among patients with HF admitted to Hoima Regional Referral Hospital (HRRH) in western Uganda.

METHODS

This hospital-based cross-sectional study used quantitative data of 384 HF patients admitted at HRRH between 21st February and 15th May 2023. Data on sociodemographic, lifestyle, and medical characteristics were collected and presented as descriptive statistics. EAs were considered electrolyte values below or above the reference normal ranges. Bivariate and multiple logistic regression analyses were conducted to establish associations. An association with a p < 0.05 is considered statistically significant.

RESULTS

Of 384 HF patients, 342 (89.1%) had EAs. Hypocalcemia was the most common EA, 165 (43.0%). Among the patients, 69 (18.0%) were on diuretics, 185 (48.2%) were on angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin receptor blockers (ARBs), and 105 (27.3%) were on calcium channel blockers (CCBs). Additionally, 264 (68.8%) had a history of hypertension, and 20 (5.2%) demonstrated good drug adherence. Patients with good drug adherence had lower odds of EAs (Adjusted Prevalence Odds Ratio [Adjusted POR] = 0.2, 95% CI: 0.1-0.7, p = 0.009). Those on diuretics had higher odds of EAs compared to those on ACEIs/ARBs and CCBs, with an Adjusted POR of 5.7 (95% CI: 1.3-15.0, p = 0.019). A history of hypertension also increased the odds of EAs (Adjusted POR = 4.0, 95% CI: 1.9-8.4, p < 0.001).

CONCLUSIONS

The prevalence of EAs in patients with HF at HRRH was high, with hypocalcemia being the most common. Patients with good drug adherence had lower odds of EAs. On the other hand, diuretic use and a history of hypertension were associated with increased odds of EAs.

In-hospital bioimpedance-derived total body water predicts short-term cardiovascular mortality and re-hospitalizations in acute decompensated heart failure patients

BACKGROUND

Hospital re-admissions in heart failure (HF) patients are mostly caused by an acute exacerbation of their chronic congestion. Bioimpedance analysis (BIA) has emerged as a promising non-invasive method to assess the volume status in HF. However, its correlation with clinically assessed volume status and its prognostic value in the acute intra-hospital setting remains uncertain.

METHODS AND RESULTS

In this single-center observational study, patients (n = 49) admitted to the cardiology ward for acute decompensated HF (ADHF) underwent a daily BIA-derived volume status assessment. Median hospital stay was 7 (4-10) days. Twenty patients (40%) reached the composite endpoint of cardiovascular mortality or re-hospitalization for HF over 6 months. Patients at discharge displayed improved NYHA class, lower body weight, plasma and blood volume, as well as lower NT-proBNP levels compared to the admission. Compared to patients with total body water (TBW) less than or equal to that predicted by body weight, those with higher relative TBW levels had elevated NT-proBNP and E/e´ (both p < 0.05) at discharge. In the Cox multivariate regression analysis, the BIA-derived delta TBW between admission and discharge showed a 23% risk reduction for each unit increase (HR = 0.776; CI 0.67-0.89; p = 0.0006). In line with this finding, TBW at admission had the highest prediction importance of the combined endpoint for a subgroup of high-risk HF patients (n = 35) in a neural network analysis.

CONCLUSION

In ADHF patients, BIA-derived TBW is associated with the increased risk of HF hospitalization or cardiovascular death over 6 months. The role of BIA for prognostic stratification merits further investigation.

The Effects of Teach-Back and Blended Training on Self-Care and Care Burden Among Caregivers of Patients with Heart Failure Caregivers

A quasi-experimental study aimed to investigate the effects of both teach-back and blended training methods on the contribution to self-care and perceived care burden among family caregivers of patients with heart failure. Seventy family caregivers of patients with heart failure were randomly allocated to two groups: one receiving the teach-back method and the other receiving the blended training method. Data were collected before, 1 month, and 3 months after the intervention. Data collection included demographic data and two tools: the Caregiver Contribution to Self-Care of Heart Failure Index and the Caregiver Burden Questionnaire for Heart Failure. Both teach-back and blended training methods were effective in educating family caregivers of patients with heart failure requiring home care. However, the teach-back method demonstrated better outcomes for the two concepts examined in this study.

Inferior vena CAVA and lung ultraSound-guided therapy in acute heart failure: A randomized pilot study (CAVAL US-AHF study)

BACKGROUND

The optimal assessment of systemic and lung decongestion during acute heart failure is not clearly defined. We evaluated whether inferior vena cava (IVC) and pulmonary ultrasound (CAVAL US) guided therapy is superior to standard care in reducing subclinical congestion at discharge in patients with AHF.

METHODS

CAVAL US-AHF was an investigator-initiated, single-center, single-blind, randomized controlled trial. A daily quantitative ultrasound protocol using the 8-zone method was used and treatment was adjusted according to an algorithm. The primary endpoint was the presence of more than 5 B-lines and/or an increase in IVC diameter and collapsibility at discharge. And secondary endpoint exploratory outcome was the composite of readmission for HF, unplanned visit for worsening HF or death at 90 days RESULTS: Sixty patients were randomized to CAVAL US (n = 30) or control (n = 30). The primary endpoint was achieved in 4 patients (13.3%) in the CAVAL US group and 20 patients (66.6%) in the control group (P < .001). A significant reduction in HF readmission, unplanned visit for worsening HF or death at 90 days was seen in the CAVAL US group (13.3% vs 36.7%; log rank P = .038). Other endpoints such as NT-proBNP reduction at discharge showed a nonstatistically significant reduction in the CAVAL US group (48% IQR 27-67 vs 37% -3-59; P = .09). Safety outcomes were similar in both groups.

CONCLUSION

IVC and lung ultrasound-guided therapy in AHF patients significantly reduced subclinical congestion at discharge. CAVAL US-AHF provides preliminary evidence for the potential use of a simple technique to guide decongestive therapy during hospitalization for AHF, which may reduce the composite outcome at 90 days.

Phenotypes of sleep health among adults with chronic heart failure in a randomized controlled trial of cognitive behavioral therapy for insomnia

BACKGROUND

Poor sleep contributes to adverse health in heart failure. However, studies are limited to isolated sleep characteristics.

PURPOSES

To evaluate changes in sleep health phenotypes after cognitive behavioral therapy for insomnia or attention control and associations between sleep health phenotypes, symptoms, stress, functional performance, and emergency department visits and hospitalizations.

METHODS

Secondary analysis of a randomized controlled trial of cognitive behavioral therapy for insomnia among adults with heart failure. We measured sleep (rest-activity rhythms, sleep duration, quality, and efficiency, insomnia severity, daytime sleepiness), symptoms, cognitive ability, vigilance, and 6-minute walk distance at baseline and 3-, 6-, and 12-month postintervention and collected hospitalizations and emergency department visits. We used K-means cluster analysis and generalized linear mixed models, generalized estimating equations, and Cox proportional hazard models.

RESULTS

Among 166 participants (M age=63.2 (SD=12.6) years; 57% male; 23% New York Heart Association Class III/IV), there were four sleep health phenotypes ("Unstable Sleep" (15%); "Short Sleep" (39%); "Low Sleep Efficiency" (25%); and "Good Sleep" (21%)) at baseline. The healthiest phenotype was associated with the lowest fatigue. The proportions of participants in the healthiest sleep group increased from pre- to post-treatment. Low sleepiness (p = .0188) and a robust circadian quotient (p = .007) predicted transition to the healthiest phenotype. The poorest sleep phenotype at baseline predicted time to hospitalizations and emergency department visits (hazard ratios 0.35-0.60) after adjusting for covariates.

CONCLUSION

Sleep phenotypes predict heart failure outcomes. Tailored interventions targeting phenotypes may be more effective than approaches that focus on single sleep characteristics.

Acute respiratory distress syndrome

The understanding of acute respiratory distress syndrome (ARDS) has evolved greatly since it was first described in a 1967 case series, with several subsequent updates to the definition of the syndrome. Basic science advances and clinical trials have provided insight into the mechanisms of lung injury in ARDS and led to reduced mortality through comprehensive critical care interventions. This review summarizes the current understanding of the epidemiology, pathophysiology, and management of ARDS. Key highlights include a recommended new global definition of ARDS and updated guidelines for managing ARDS on a backbone of established interventions such as low tidal volume ventilation, prone positioning, and a conservative fluid strategy. Future priorities for investigation of ARDS are also highlighted.

Advancements in the Treatment of Diuretic Resistance in Congestive Heart Failure

This narrative evaluates the dynamic developments that have significantly transformed treatment strategies in the constantly evolving domain of diuretic resistance (DR) management in congestive heart failure (CHF). The discourse explores historical challenges and the current state of therapeutic approaches as it investigates the crucial matter of DR in patients with CHF. An introduction provides a synopsis of the pivotal function diuretics performed in the management of fluid excess and the intricacies associated with CHF. The narrative explores the progressive exposure of the constraints that traditional treatments face, thus underscoring the persistent issue of DR and the imperative for innovative methodologies. The text underscores advancements in pharmacotherapy that demonstrate efficacy in surmounting resistance, including innovative diuretics and combination therapies. Furthermore, it outlines the pivotal shift towards personalized medicine, an approach that transforms the results of treatments through the integration of genetic knowledge and individualized strategies. Furthermore, the text delves into nonpharmacological strategies, including ultrafiltration and renal denervation, that enhance the overall comprehension of the intricate battle against diuretic resistance. In summary, this narrative exemplifies resolute perseverance in the pursuit of solutions, presenting a promising future wherein various developments converge to restore hope in regard to the control of DR and the improvement of the health status of chronic heart failure patients.

A machine learning tool for identifying newly diagnosed heart failure in individuals with known diabetes in primary care

AIMS

We aimed to create a predictive model utilizing machine learning (ML) to identify new cases of congestive heart failure (CHF) in individuals with diabetes in primary health care (PHC) through the analysis of diagnostic data.

METHODS

We used a sex- and age-matched case-control design. Cases of new CHF were identified across all outpatient care settings 2015-2022 (n = 9098). We included individuals 30 years and above, by sex and age groups of 30-65 years and >65 years. The controls (five per case) were sampled from the individuals in 2015-2022 without CHF at any time between 2010 and 2022, in total 45 490. From the stochastic gradient boosting (SGB) technique model, we obtained a rank of the 10 most important factors related to newly diagnosed CHF in individuals with diabetes, with the normalized relative influence (NRI) score and a corresponding odds ratio of marginal effects (ORME). Area under curve (AUC) was calculated.

RESULTS

For women 30-65 years and >65 years, we identified 488 and 3240 new cases of CHF, respectively, and men 30-65 years and >65 years 1196 and 4174 new cases. Among the 10 most important factors in the four groups (divided by sex and lower and higher age) for newly diagnosed CHF, we found the number of visits 12 months before diagnosis (NRI 44.3%-55.9%), coronary artery disease (NRI 2.9%-7.8%), atrial fibrillation and flutter (NRI 6.6%-12.2%) and 'abnormalities of breathing' (ICD-10 code R06) (NRI 2.6%-4.4%) were predictive in all groups. For younger women, a diagnosis of COPD (NRI 2.7%) contributed to the predictive effect, while for older women, oedema (NRI 3.1%) and number of years with diabetes (NRI 3.5%) contributed to the predictive effect. For men in both age groups, chronic renal disease had predictive effect (NRI 3.9%-5.1%) The model prediction of CHF among patients with diabetes was high, AUC around 0.85 for the four groups, and with sensitivity over 0.783 and specificity over 0.708 for all four groups.

CONCLUSIONS

An SGB model using routinely collected data about diagnoses and number of visits in primary care, can accurately predict risk for diagnosis of heart failure in individuals with diabetes. Age and sex difference in predictive factors warrant further examination.

Associations between systemic immune-inflammation index and heart failure: A cross-sectional study

The detrimental effects of inflammation on cardiovascular health have received a lot of attention. However, the relationship between heart failure (HF) and the systemic immune-inflammation index (SII) has not been demonstrated. The authors sought to learn more about the relationship between HF and SII in US adults. Adults with complete SII and HF information from the 1999 to 2018 National Health and Nutrition Examination Survey participated in the current cross-sectional study. The calculation for SII involved multiplying the platelet count by the neutrophil count and then dividing it by the lymphocyte count. The relationship between SII and HF was studied using multivariate logistic regression, sensitivity analysis, and smoothed curve fitting. A total of 49,471 participants were enrolled in the study, and 1625 patients (3.28%) were diagnosed with HF. In the model that took all relevant factors into account, we observed that for every 100-unit increase in SII, there was a 2% higher likelihood of developing HF (OR = 1.02; 95% CI: 1.01-1.03, P < .0016). Furthermore, we discovered L-shaped associations between SII levels and HF. In subgroups stratified by smoking and diabetes, SII was found to be substantially associated with HF (P < .05). Interaction tests revealed that this positive association was not significantly influenced by gender, age, body mass index, smoking status, diabetes, or hypertension (all P for interaction > 0.05). In US adults, SII and HF had a positive association. Our study suggests that SII may be a convenient and readily available marker for identifying HF.

Prognostic role of coronary angiography and revascularization in patients firstly admitted for heart failure in Italy

BACKGROUND

Coronary artery disease (CAD) is a common underlying cause of de novo heart failure (HF) and is associated with poor outcome despite advances in medical therapy. There are no data clearly supporting coronary angiogram (CVG) and revascularization in this setting.

METHODS

We analysed a nationwide, comprehensive, and universal administrative database of consecutive patients for the first time admitted in hospital for HF, without a history of CAD, who survived 30 days after index admission from 2015 to 2019 in Italy. Enrolled patients were classified into subjects who did not undergo CVG; those who underwent CVG without coronary revascularization; those who underwent percutaneous coronary intervention (PCI); and those who underwent coronary artery bypass grafting (CABG).

RESULTS

During the study period, 342,090 patients were hospitalized for the first time due to HF and survived 30 days after admission, in Italy. Among them, 30,806 (9.0%) patients underwent CVG without undergoing coronary revascularization, 5855 (1.7%) underwent PCI and 1594 (0.5%) underwent CABG. After adjusting for age, gender and comorbidity, the hazard ratio (HR) for 1-year all-cause mortality in patients undergoing CVG vs no CVG were 0.56 (p < 0.0001), 0.66 (p < 0.0001) and 0.83 (p = 0.020) for CVG, PCI and CABG patients, respectively. When considering the re-hospitalization for HF as the outcome, using death as a competing risk, after multiple corrections, CVG (HR = 0.80; p < 0.0001) and CABG (HR = 0.73; p < 0.0002) were protective versus No CVG, but not PCI (HR = 1.02; p = 0.642).

CONCLUSIONS

This study provides evidence that CVG and coronary revascularization may be beneficial for patients with de novo HF.

Bridging the gap between recommendation and reality: Improving dietary adherence of heart failure populations a cross-sectional study in Ethiopia

BACKGROUND

Heart failure (HF), a complex condition arising from impaired ventricular function, necessitates strict adherence to dietary recommendations for optimal patient management. However, information regarding adherence and its influencing factors remains limited.

AIM

This study aimed to assess dietary recommendation adherence and its associated factors among HF patients at Southern Ethiopia public hospitals.

METHODS AND RESULTS

A cross-sectional study involving 521 participants employed systematic random sampling. Data collection utilized pre-tested, interviewer-administered questionnaires and medical chart reviews. Data were entered and analyzed using Epi Data 3.1 and SPSS 20.0 software. Descriptive statistics were performed. Variables with p-values < 0.25 in binary logistic regression were included in multivariable logistic regression analyses. Statistical significance was set at p < 0.05 with a 95% confidence interval. Results are presented in text, tables, and figures. With a 97.4% response rate, adherence ranged from 20.3% (vegetables and fruits) to 60.3% (fat-free diet). Only 8.1% achieved good adherence across all parameters, with overall adherence at 33.4% (95% CI: 29-37). Multivariable analysis revealed that patients aged 41-60 years (AOR: 1.7), with a history of admission (AOR: 2.5), free from comorbidities (AOR: 0.58), and possessing a favorable attitude (AOR: 0.45) had statistically significant associations with good adherence.

CONCLUSION

Dietary adherence among HF patients remains a challenge. Healthcare providers, particularly those in chronic follow-up settings, should prioritize improving patient attitudes towards proper dietary practices. Tailored education programs targeting younger patients and those free from comorbidities should be implemented. Continuous monitoring, evaluation, and staff recognition for effective client counseling are crucial.

Gut microbiota-related modulation of immune mechanisms in post-infarction remodelling and heart failure

The immune system has long been recognized as a key driver in the progression of heart failure (HF). However, clinical trials targeting immune effectors have consistently failed to improve patient outcome across different HF aetiologies. The activation of the immune system in HF is complex, involving a broad network of pro-inflammatory and immune-modulating components, which complicates the identification of specific immune pathways suitable for therapeutic targeting. Increasing attention has been devoted to identifying gut microbial pathways that affect cardiac remodelling and metabolism and, thereby impacting the development of HF. In particular, gut microbiota-derived metabolites, absorbed by the host and transported to the peripheral circulation, can act as signalling molecules, influencing metabolism and immune homeostasis. Recent reports suggest that the gut microbiota plays a crucial role in modulating immune processes involved in HF. Here, we summarize recent advances in understanding the contributory role of gut microbiota in (auto-)immune pathways that critically determine the progression or alleviation of HF. We also thoroughly discuss potential gut microbiota-based intervention strategies to treat or decelerate HF progression.

Deep Learning in Heart Sound Analysis: From Techniques to Clinical Applications

Importance: Heart sound auscultation is a routinely used physical examination in clinical practice to identify potential cardiac abnormalities. However, accurate interpretation of heart sounds requires specialized training and experience, which limits its generalizability. Deep learning, a subset of machine learning, involves training artificial neural networks to learn from large datasets and perform complex tasks with intricate patterns. Over the past decade, deep learning has been successfully applied to heart sound analysis, achieving remarkable results and accumulating substantial heart sound data for model training. Although several reviews have summarized deep learning algorithms for heart sound analysis, there is a lack of comprehensive summaries regarding the available heart sound data and the clinical applications. Highlights: This review will compile the commonly used heart sound datasets, introduce the fundamentals and state-of-the-art techniques in heart sound analysis and deep learning, and summarize the current applications of deep learning for heart sound analysis, along with their limitations and areas for future improvement. Conclusions: The integration of deep learning into heart sound analysis represents a significant advancement in clinical practice. The growing availability of heart sound datasets and the continuous development of deep learning techniques contribute to the improvement and broader clinical adoption of these models. However, ongoing research is needed to address existing challenges and refine these technologies for broader clinical use.

Implementation and evaluation of specialist heart failure pharmacist prescribing clinics

BACKGROUND

Medications form the basis of treatment for heart failure (HF) and adherence is crucial as untreated HF has a mortality of greater than 30%. As such, specialist HF pharmacists with expertise in prescribing and promoting adherence have become an integral part of the wider HF multidisciplinary team (MDT).

AIM

To implement specialist HF pharmacist prescribing clinics and evaluate their impact.

SETTING

An integrated HF team at a tertiary London hospital.

DEVELOPMENT

The clinic was initially developed to facilitate the introduction of sacubitril-valsartan evolving to 6 dedicated clinics/week.

IMPLEMENTATION

A dedicated electronic referral pathway was created to channel referrals to the specialist clinic, and referral criteria expanded to all patients requiring optimisation of medical therapy.

EVALUATION

Data were retrospectively collected for patients with heart failure with reduced ejection fraction seen in the HF pharmacist clinic between September 2021 and July 2022. Overall, 114 patients were seen (mean age 66 years, 78 male). The mean time to medication optimisation was 3 months (averaging 1 appointment/month). The number on optimised doses of guideline-directed medical therapy, increased significantly from 8% at first appointment to 76% on discharge (p < 0.001). The HF pharmacists reviewed all medications and optimised non-HF medications for 17.5% (n = 20) of patients.

CONCLUSION

HF pharmacists can optimise patients' HF and non-HF medical therapy typically within 3 months. By reviewing all prescribed medications, HF pharmacists provide a holistic review of all medications. They can play a vital role in addressing the underutilisation of HF medical therapy and thereby improving patient outcomes.

Prevalence and outcomes of heart failure phenotypes in patients with atrial fibrillation

BACKGROUND

Atrial fibrillation (AF) is common in patients with heart failure (HF). Real-world data about long-term outcomes and rhythm control interventions use in AF patients with and without HF remain scarce.

METHODS

AF patients from two prospective, multicentre studies were classified based on the HF status at baseline into: HF with preserved ejection fraction (HFpEF), HF with reduced or mildly reduced ejection fraction (HFrEF/HFmrEF), and no HF. The prespecified primary outcome was risk of HF hospitalisation. Other outcomes of interest included mortality, cardiovascular events, AF progression, and quality of life.

RESULTS

A total of 1265 patients with AF were analysed (mean age 69.6 years, women 27.4%) with a median follow-up of 5.98 years. Patients with HFpEF (n = 126) had a 2.69-fold and patients with HFrEF/HFmrEF (n = 308) had a 2.12-fold increased risk of HF hospitalisation compared to patients without HF (n = 831, p < 0.001). Similar results applied for all-cause and cardiovascular mortality. The risk for AF progression was higher for patients with HFpEF and HFrEF/HFmrEF (6.30 and 6.79 per 100 patient-years, respectively) compared to patients without HF (4.20). The use of rhythm control strategies during follow-up was least in the HFpEF population (4.56 per 100 patient-years) compared to 7.74 in HFrEF/HFmrEF and 8.03 in patients with no HF. With regards to quality of life over time, this was worst among HFpEF patients.

CONCLUSIONS

The presence of HFpEF among patients with AF carried a high risk of HF hospitalisations and AF progression, and worse quality of life. Rhythm control interventions were rarely offered to HFpEF patients. These results uncover an unmet need for enhanced therapeutic interventions in patients with AF and HFpEF.

Exercise training decreases the load and changes the content of circulating SDS-resistant protein aggregates in patients with heart failure with reduced ejection fraction

BACKGROUND

Heart failure (HF) often disrupts the protein quality control (PQC) system leading to protein aggregate accumulation. Evidence from tissue biopsies showed that exercise restores PQC system in HF; however, little is known about its effects on plasma proteostasis.

AIM

To determine the effects of exercise training on the load and composition of plasma SDS-resistant protein aggregates (SRA) in patients with HF with reduced ejection fraction (HFrEF).

METHODS

Eighteen patients with HFrEF (age: 63.4 ± 6.5 years; LVEF: 33.4 ± 11.6%) participated in a 12-week combined (aerobic plus resistance) exercise program (60 min/session, twice per week). The load and content of circulating SRA were assessed using D2D SDS-PAGE and mass spectrometry. Cardiorespiratory fitness, quality of life, and circulating levels of high-sensitive C-reactive protein, N-terminal pro-B-type natriuretic peptide (NT-proBNP), haptoglobin and ficolin-3, were also evaluated at baseline and after the exercise program.

RESULTS

The exercise program decreased the plasma SRA load (% SRA/total protein: 38.0 ± 8.9 to 36.1 ± 9.7%, p = 0.018; % SRA/soluble fraction: 64.3 ± 27.1 to 59.8 ± 27.7%, p = 0.003). Plasma SRA of HFrEF patients comprised 31 proteins, with α-2-macroglobulin and haptoglobin as the most abundant ones. The exercise training significantly increased haptoglobin plasma levels (1.03 ± 0.40 to 1.11 ± 0.46, p = 0.031), while decreasing its abundance in SRA (1.83 ± 0.54 × 1011 to 1.51 ± 0.59 × 1011, p = 0.049). Cardiorespiratory fitness [16.4(5.9) to 19.0(5.2) ml/kg/min, p = 0.002], quality of life, and circulating NT-proBNP [720.0(850.0) to 587.0(847.3) pg/mL, p = 0.048] levels, also improved after the exercise program.

CONCLUSION

Exercise training reduced the plasma SRA load and enhanced PQC, potentially via haptoglobin-mediated action, while improving cardiorespiratory fitness and quality of life of patients with HFrEF.

Machine Learning For Risk Prediction After Heart Failure Emergency Department Visit or Hospital Admission Using Administrative Health Data

AIMS

Patients visiting the emergency department (ED) or hospitalized for heart failure (HF) are at increased risk for subsequent adverse outcomes, however effective risk stratification remains challenging. We utilized a machine-learning (ML)-based approach to identify HF patients at risk of adverse outcomes after an ED visit or hospitalization using a large regional administrative healthcare data system.

METHODS AND RESULTS

Patients visiting the ED or hospitalized with HF between 2002-2016 in Alberta, Canada were included. Outcomes of interest were 30-day and 1-year HF-related ED visits, HF hospital readmission or all-cause mortality. We applied a feature extraction method using deep feature synthesis from multiple sources of health data and compared performance of a gradient boosting algorithm (CatBoost) with logistic regression modelling. The area under receiver operating characteristic curve (AUC-ROC) was used to assess model performance. We included 50,630 patients with 93,552 HF ED visits/hospitalizations. At 30-day follow-up in the holdout validation cohort, the AUC-ROC for the combined endpoint of HF ED visit, HF hospital readmission or death for the Catboost and logistic regression models was 74.16 (73.18-75.11) versus 62.25 (61.25-63.18), respectively. At 1-year follow-up corresponding values were 76.80 (76.1-77.47) versus 69.52 (68.77-70.26), respectively. AUC-ROC values for the endpoint of all-cause death alone at 30-days and 1-year follow-up were 83.21 (81.83-84.41) versus 69.53 (67.98-71.18), and 85.73 (85.14-86.29) versus 69.40 (68.57-70.26), for the CatBoost and logistic regression models, respectively.

CONCLUSIONS

ML-based modelling with deep feature synthesis provided superior risk stratification for HF patients at 30-days and 1-year follow-up after an ED visit or hospitalization using data from a large administrative regional healthcare system.

Prediction of heart failure events based on physiologic sensor data in HINODE defibrillator patients

AIMS

Hospitalizations are common in patients with heart failure and are associated with high mortality, readmission and economic burden. Detecting early signs of worsening heart failure may enable earlier intervention and reduce hospitalizations. The HeartLogic algorithm is designed to predict worsening heart failure using diagnostic data from multiple device sensors. The main objective of this analysis was to evaluate the sensitivity of the HeartLogic alert calculation in predicting worsening heart failure events (HFEs). We also evaluated the false positive alert rate (FPR) and compared the incidence of HFEs occurring in a HeartLogic alert state to those occurring out of an alert state.

METHODS

The HINODE study enrolled 144 patients (81 ICD and 63 CRT-D) with device sensor data transmitted via a remote monitoring system. HeartLogic alerts were then retrospectively simulated using relevant sensor data. Clinicians and patients were blinded to calculated alerts. Reported adverse events with HF symptoms were adjudicated and classified by an independent HFE committee. Sensitivity was defined as the ratio of the number of detected usable HFEs (true positives) to the total number of usable HFEs. A false positive alert was defined as an alert with no usable HFE between the alert onset date and the alert recovery date plus 30 days. The patient follow-up period was categorized as in alert state or out of alert state. The event rate ratio was the HFE rate calculated in alert to out of alert.

RESULTS

The patient cohort was 79% male and had an average age of 68 ± 12 years. This analysis yielded 244 years of follow-up data with 73 HFEs from 37 patients. A total of 311 HeartLogic alerts at the nominal threshold (16) occurred across 106 patients providing an alert rate of 1.27 alerts per patient-year. The HFE rate was 8.4 times greater while in alert compared with out of alert (1.09 vs. 0.13 events per patient-year; P < 0.001). At the nominal alert threshold, 80.8% of HFEs were detected by a HeartLogic alert [95% confidence interval (CI): 69.9%-89.1%]. The median time from first true positive alert to an adjudicated clinical HFE was 53 days. The FPR was 1.16 (95% CI: 0.98-1.38) alerts per patient-year.

CONCLUSIONS

Results suggest that signs of worsening HF can be detected successfully with remote patient follow-up. The use of HeartLogic may predict periods of increased risk for HF or clinically significant events, allowing for early intervention and reduction of hospitalization in a vulnerable patient population.

Telemedicine and Remote Management of Patients with Heart Failure: From Theory to Daily Practice

Background: Heart failure (HF) is responsible for a high number of hospitalizations, caused by a progressive worsening quality of life. Telemedicine allows for better management of patients' complex conditions, improving the care released. However, the risk of remaining at a testing stage often limits the integration of remote care in daily pathways for HF patients. The aim of this study is to outline the steps needed to integrate telemedicine activities into ordinary HF clinic practices. This methodology is applied to observe activities and trend improvements over a 12-month routine phase. Method: Three steps have been defined for an efficient introduction of remote care services in ordinary activities, integrating them with traditional in-person care: (i) introduction of temporary telemedicine projects, (ii) systematization of telemedicine pathways, and (iii) evaluation of monitoring phase. Observational data have been collected from structured interviews to show the rate of telemedicine activities achieved in clinical practice over the last year. Results: The methodology has been proposed in the HF clinic of the Italian hospital ASST Bergamo Est. After an initial testing phase, in which usability and user experience have been tested, four different remote activities were added: (i) telemonitoring for patients with an implantable device, (ii) follow-up televisits, (iii) nursing telephone support, and (iv) high-intensity telesurveillance pathways for patients after an HF acute event. During the last year, 218 telemonitoring pathways, 75 televisits, 500 telephone calls, and nine telesurveillance pathways have been performed. Success rates were high, and patients gave positive feedback. Conclusion: By integrating multiple telemedicine activities, it has been possible to better manage complex patients, keep track of disease progression, and improve their participation in care.

Validity and reliability of the palliative care needs assessment tool in Japanese patients with heart failure

AIMS

Although patients with heart failure (HF) frequently experience considerable symptom burden and require significant care, most HF patients do not receive timely intervention due to the absence of a standardized method for identifying those in need of palliative care. The Needs Assessment Tool: Progressive Disease-Heart Failure (NAT: PD-HF) assesses the palliative care needs of patients with HF. However, its validity and reliability have yet to be fully examined. We aimed to assess the validity and reliability of the NAT: PD-HF in Japanese patients with HF.

METHODS

We prospectively enrolled 106 consecutive patients with chronic HF admitted to our university hospital between February 2023 and July 2023. Their caregivers (n = 95) and healthcare providers (n = 17) were also included. The NAT: PD-HF was translated from English to Japanese using a forward-backward translation procedure and adapted based on Japanese cultural and medical backgrounds by our professional multidisciplinary team. We assessed the internal consistency of the Japanese NAT: PD-HF version with Cronbach's alpha coefficient and the inter-rater and test-retest reliabilities with Cohen's kappa coefficient. After using the tool, all participants were asked to complete a questionnaire about the tool to determine its validity.

RESULTS

The proportion of female patients in this study was 47 (44%). The median age was 72 years [interquartile range (IQR) 59-81]. The median time spent assessing the patients' and their caregivers' needs using the Japanese NAT: PD-HF was 14 min (IQR 12-17). The Cronbach's alpha coefficient was 0.82, and the minimum kappa coefficient was 0.77 for inter-rater reliability and 0.88 for test-retest reliability. In total, 103 patients (97%) and all caregivers responded that the tool was easy to understand. One hundred (94%) patients and 89 (94%) caregivers felt that the tool would improve the quality of care, and 102 (96%) patients and 91 (96%) caregivers indicated that the discussions using this tool allowed them to confide in all their burdens and care needs. All healthcare providers expressed that this tool is helpful in understanding the burden and care needs of both patients and caregivers comprehensively.

CONCLUSIONS

The NAT: PD-HF is a reliable and valid tool for Japanese patients with HF and their caregivers. This tool was very well accepted by patients, caregivers and healthcare providers to identify burdens and care needs.

Development of a quality of life measure for left ventricular assist device recipients using a mixed methods approach

BACKGROUND

Left ventricular assist device (LVAD) recipients report symptom improvement but find adjusting to life with the LVAD challenging. These challenges are unique, and existing patient-reported outcome measures (PROMs) do not reflect their experiences. This study aimed to develop a culturally relevant quality of life PROM for use with LVAD recipients in future research, design evolutions and clinical practice.

METHODS

A three-stage mixed-methods approach was used to develop a PROM: stage 1 included group concept mapping (GCM); stage 2 semi-structured qualitative interviews were conducted with 11 LVAD recipients and 10 clinicians, and a questionnaire was developed using a conceptual framework; and stage 3 used exploratory psychometric analysis of the PROM data using Rasch measurement theory. This paper presents stages 2 and 3.

RESULTS

The conceptual framework consisted of four key concepts, including general health, life with the LVAD, equipment and clothing and emotional impact. Statements from interviews and GCM were used to create items for the LVAD quality of life (LVAD-QoL). Cognitive interviews tested face validity and participant comprehension. Forty-nine participants were recruited from three UK transplant centres. PROM data were collected and analysed using Rasch analysis. Four items displayed misfit; dependency between item sets was the biggest issue (57/485 pairwise differences). After restructuring and dealing with item misfit, the LVAD-QoL conformed to the Rasch model, supporting the psychometric properties and quality of the LVAD-QoL.

CONCLUSIONS

Using a mixed-methods approach ensured the development of a robust and psychometrically sound tool for research, design evolution and clinical practice with LVAD recipients.

Prognostic value of the duke activity Status Index Questionnaire in predicting mortality in patients with chronic heart failure: 36-month follow-up study

BACKGROUND

The Duke Activity Status Index (DASI) questionnaire has been the focus of numerous investigations - its discriminative and prognostic capacity has been continuously explored, supporting its use in the clinical setting, specifically during rehabilitation in patients with chronic heart failure (CHF).However, studies exploring optimal DASI questionnaire threshold scores are limited.

OBJECTIVE

To investigate optimal DASI questionnaire thresholds values in predicting mortality in a CHF cohort and assess mortality rates based on the DASI questionnaire using a thresholds values obtained.

METHODOLOGY

This is a prospective cohort study with a 36-month follow-up in patients with CHF. All patients completed a clinical assessment, followed by DASI questionnaire, pulmonary function, and echocardiography. The Receiver Operating Characteristic (ROC) curve analysis was used to discriminate the DASI questionnaire score in determining the risk of mortality. For survival analysis, the Kaplan-Meier model was used to explore the impact of ≤/>23 points on mortality occurring during the 36-month follow-up.

RESULTS

One hundred and twenty-four patients were included, the majority being elderly men. Kaplan Meier analysis revealed that ≤/> 23 was a strong predictor of CHF mortality over a 36-month follow-up.

CONCLUSION

A score of ≤/>23 presents good discriminatory capacity to predict mortality risk in 36 months in patients with CHF, especially in those with reduced or mildly reduced ejection fraction. Age, ejection fraction, DASI questionnaire score and use of digoxin are risk factors that influence mortality in this population.

In-hospital initiation of sodium-glucose cotransporter-2 inhibitors in patients with heart failure and reduced ejection fraction: 90-day prescription patterns and clinical implications

INTRODUCTION

Safety and early clinical benefit make sodium-glucose cotransporter-2 inhibitor (SGLT2-i) therapy suitable for in-hospital initiation in patients with heart failure and reduced ejection fraction (HFrEF). Despite randomized controlled trials and guideline recommendations, they are underused, and clinical inertia may play a role.

OBJECTIVES PRIMARY

To assess the impact of initiating SGLT-2i at discharge on 90-day prescription rates in patients with HFrEF during hospitalization for acute heart failure (AHF). Secondary: To evaluate the presence of independent factors associated with prescription, and to explore clinical outcomes at 90 days.

METHODS

Retrospective analysis of a consecutive prospective single-center cohort. Adult patients hospitalized between January 2021 and September 2022 with a primary diagnosis of AHF and left ventricular ejection fraction (LVEF) <40% were included. The primary outcome was SGLT2-i prescription rate at 90 days, and the exploratory secondary endpoints was the composite of hospitalization or urgent visit for AHF or all-cause mortality at 90 days.

RESULTS

237 patients were included. Mean age was 76±11 years, and mean LVEF was 29±7%. In patients without contraindications, SGLT2 inhibitors (SGLT2-i) were prescribed during hospitalization in 52.3%. At 90 days, the SGLT2-i prescription rate was 94.2% in those with in-hospital initiation and 14.4% in those without. (p<0.001). Independent factor associated with inpatient prescription was lower LVEF, 0.83 (95% CI: 0.77-0.89) for each point. Patients with in-hospital SGLT2-i initiation showed a lower rate of the combined endpoint of all-cause death, HF rehospitalization, or unplanned HF visit at 90 days (44.4% versus 23.9%, p=0.005).

CONCLUSIONS

In-hospital initiation of SGLT-2-i was associated with significantly higher prescription rates and lower prevalence in the secondary combined endpoint at 90 days. This study reflects the presence of medical inertia, particularly in patients with higher LVEF, and highlights the hospitalization period as an optimal time to start SGLT2-i.

Circulating brain-derived neurotrophic factor levels and heart failure: A systematic review and meta-analysis

AIMS

Biomarkers are paramount for managing heart failure (HF) patients as prognostic and therapeutic efficacy index tools. Systemic levels of brain-derived neurotrophic factor (BDNF) can add to the HF biomarker scenario, allowing for potentiated efficacy in diagnosis, prognostic stratification, and prediction of patient response to a given therapeutic intervention because BDNF is one of the primary rulers of myocardial function. Yet, whether BDNF is a reliable clinical biomarker awaits clinical validation. Hence, we aimed to answer this relevant question via a systematic review and meta-analysis of existing studies.

METHODS AND RESULTS

International databases, including PubMed, Scopus, Embase, and the Web of Science, were comprehensively searched for studies assessing BDNF levels in patients with HF versus non-HF controls or as a prognostic factor for HF complications. Data were extracted and analysed by random-effect meta-analysis. Standardized mean difference (SMD) and 95% confidence intervals (CIs) were computed to pool the results of studies. We included 11 studies in the final review, among which six underwent meta-analysis. These studies analysed 1420 HF patients, with a mean age of 65.4 ± 11.2 years. Meta-analysis revealed that patients with HF had significantly lower circulating BDNF levels than healthy controls (SMD -2.47, 95% CI -4.39 to -0.54, P-value = 0.01). Moreover, patients with higher New York Heart Association functional classification had lower levels of BDNF. Adverse clinical outcomes such as all-cause mortality and HF rehospitalization were also associated with lower levels of BDNF in individual studies.

CONCLUSIONS

BDNF levels are decreased in patients with HF. Most importantly, we observed an association between lower BDNF levels and poor prognosis in patients with HF. Our study supports BDNF as an easy-to-dose diagnostic and prognostic biomarker to be implemented in clinical practice for HF. Further studies are warranted to address this ability specifically.

Effect of the Mediterranean diet on incidence of heart failure in European countries: a systematic review and meta-analysis of cohort studies

INTRODUCTION

Heart failure (HF) is one of the most common cardiovascular disorders, and its prevalence is increased due to age, genetics, and lifestyle factors. Emerging evidence suggests that the Mediterranean Diet (Med Diet) is linked to lower all-cause mortality in patients with increased cardiovascular disease risk, such as those with HF.

OBJECTIVE

To conduct a systematic review and meta-analysis of observational studies into the relationship between the Med Diet on HF risk.

DESIGN

Several databases (PubMed, Scopus, Web of Science and Cochrane Library) until the 01st of May 2023 were searched. Our research was conducted based on the updated 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Data were reported as risk ratios (RRs) with their 95% confidence intervals (CIs) as results of multivariate or univariate analyses.

RESULTS

From the original 1206 studies collected, six observational prospective studies were included, with a total of 216,385 European participants without evidence of HF at baseline. Over a mean period of 11 years of follow-up, a 1-point increase in the Med Diet score was associated with a significantly lower risk of HF (RR = 0.940; 95% CI: 0.912-0.969, p < 0.0001; I2 = 42.9%). Categorised by sex, a higher adherence to Med Diet was associated with a significantly lower incidence of HF in women (RR = 0.942; 95% CI: 0.912-0.973, p = 0.001; I2 = 41.8%), but not in men. The overall quality of included studies was good.

CONCLUSIONS

Higher adherence to Med Diet across European countries is associated with lower risk of HF, particularly in women.

Feasibility of a Cardiac Magnetic Resonance Protocol for "off-on" Cardiac Resynchronization Therapy Evaluation

BACKGROUND

Cardiac resynchronization therapy (CRT) is a standard treatment for patients with heart failure and electrical dyssynchrony. Cardiac magnetic resonance (CMR) is the gold standard for assessing left ventricular (LV) function. However, the feasibility of using CMR with active CRT is still uncertain.

PURPOSE

To assess the feasibility of a CRT "off-on" protocol during CMR and measure the acute effects of CRT interruption on LV function.

METHODS

Patients underwent CMR before (pre-CRT) and 6 months after (post-CRT) an MR-conditional CRT defibrillator implantation. The post-CRT scan included two complete sets of cine images, one with inactive (post-CRTOFF) and one with active CRT (post-CRTON), maintaining a continuous connection between device and programmer.

RESULTS

Out of 29 enrolled patients, 8 (28%) had complete and analyzable post-CRT data. Unsuccessful procedures were attributed to connection problems between the CRT device and the programmer (n = 10), poor image quality (n = 7), and lack of patient cooperation (n = 4). LV ejection fraction significantly increased between pre-CRT scan (28.1%) and both post-CRTOFF (37.9%; p = 0.046) and post-CRTON CMR (35.0%; p = 0.037), with a nonstatistically significant trend toward decreased LV volumes. No adverse events or significant changes in device electrical parameters (including battery level) were detected during the post-CMR scan period.

CONCLUSION

A CRT "off-on" protocol during CMR studies can be safely executed in patients with an MR-conditional CRT defibrillator. However, technical improvements are needed to facilitate high-quality scans during active CRT. Favorable changes in LV function induced by CRT remodeling were not acutely reversed with the interruption of electrical therapy.

Animal Models for Mechanical Circulatory Support: A Research Review

Heart failure is a clinical syndrome that has become a leading public health problem worldwide. Globally, nearly 64 million individuals are currently affected by heart failure, causing considerable medical, financial, and social challenges. One therapeutic option for patients with advanced heart failure is mechanical circulatory support (MCS) which is widely used for short-term or long-term management. MCS with various ventricular assist devices (VADs) has gained traction in end-stage heart failure treatment as a bridge-to-recovery, -decision, -transplant or -destination therapy. Due to limitations in studying VADs in humans, animal studies have substantially contributed to the development and advancement of MCS devices. Large animals have provided an avenue for developing and testing new VADs and improving surgical strategies for VAD implantation and for evaluating the effects and complications of MCS on hemodynamics and organ function. VAD modeling by utilizing rodents and small animals has been successfully implemented for investigating molecular mechanisms of cardiac unloading after the implantation of MCS. This review will cover the animal research that has resulted in significant advances in the development of MCS devices and the therapeutic care of advanced heart failure.

Device-therapy in chronic heart failure: Cardiac contractility modulation versus cardiac resynchronization therapy

AIMS

Cardiac implantable electrical devices such as cardiac resynchronization therapy with defibrillator (CRT-Ds) or cardiac contractility modulation (CCMs) are therapy options for patients with symptomatic heart failure (HF) and reduced left ventricular ejection fraction (LVEF) despite optimal medical treatment. As yet, a comparison between both devices has not been performed.

METHODS AND RESULTS

The Mannheim Cardiac Resynchronization Therapy Registry (MARACANA) and the Mannheim Cardiac Contractility Modulation Observational Study (MAINTAINED) included all patients who received CRTs or CCMs in our medical centre between 2012 and 2021. For the present analysis, we retrospectively compared patients provided with either CRT-Ds (n = 220) or CCMs with additional defibrillators (n = 105) regarding New York Heart Association classification (NYHA), LVEF, tricuspid annular plane systolic excursion (TAPSE), QRS-width and other HF modification aspects after 12 months. Before implantation, CCM patients presented with lower LVEF (23.6 ± 6.2 vs. 26.3 ± 6.5%) and worse NYHA (3.03 ± 0.47 vs. 2.81 ± 0.48, both P < 0.05), compared with CRT-D patients. Follow-up improvements in NYHA (2.43 ± 0.67 vs. 2.28 ± 0.72), LVEF (30.5 ± 10.7 vs. 35.2 ± 10.5%) and TAPSE (17.2 ± 5.2 vs. 17.1 ± 4.8 to 18.9 ± 3.4 vs. 17.3 ± 3.6 mm, each P < 0.05) were comparable. The intrinsic QRS-width was stable with CCM (109.1 ± 18 vs. 111.7 ± 19.7 ms, P > 0.05), while the paced QRS-width with CRT-D after 12 months was lower than intrinsic values at baseline (157.5 ± 16.5 vs. 139.2 ± 16 ms, P < 0.05). HF hospitalizations occurred more often for CCM than CRT-D patients (45.7 vs. 16.8%/patient years, odds ratio 4.2, P < 0.001).

CONCLUSIONS

Chronic heart failure patients could experience comparable 12-month improvements in functional status and ventricular reverse remodelling, with appropriately implanted CCMs and CRT-Ds. Differences in HF hospitalization rates may be due to the more advanced HF of CCM patients at implantation.

Status quo and factors influencing dyadic disease appraisal in chronic heart failure based on latent profile analysis in Northern Sichuan Province, China

PURPOSE

This study explored potential categories of dyadic disease appraisal differences among patients hospitalized with chronic heart failure (CHF) in China and analyzed the main factors influencing these categories.

METHODS

A survey was conducted using various tools and scales, including the Chinese version of the Memorial Heart Failure Symptom Appraisal Scale, Heart failure self-care index scale, Social Support Rating Scale, Zarit burden interview, and Self-rating anxiety scale. The data was collected from patients who were hospitalized with CHF in the cardiology department of one of two tertiary hospitals in Nanchong City, China. The dyadic disease appraisal categories were identified using latent profile analysis (LPA). Multiple logistic regression analysis was also employed to analyze the factors influencing the formation of potential categories of differences in dyadic disease appraisal in CHF patients.

RESULTS

A total of 262 pairs of hospitalized CHF patients and their caregivers participated in this study. The dyadic disease appraisal of CHF patients was potentially categorized as the "negative difference group" (28 individuals, 10.7%) and the "positive or convergence group" (234 persons, 89.3%). The results showed that the factors influencing the categorization of dyadic disease appraisal differences included the patient's social support, disease progression, and Caregivers anxiety level, burden, gender, educational attainment, and age (p < 0.05).

CONCLUSION

The study findings demonstrated heterogeneity between the two groups of CHF patients in the dyadic disease appraisal. Therefore, it is necessary to focus on patients who have a brief duration of illness and limited social support. Specifically, it is important to prioritize support for female caregivers who are 65 years or older, have lower levels of educational attainment, and experience a significant burden and anxiety. Regular implementation of support person-bilateral co-management strategies can effectively reduce differences in how the disease is perceived and enhance the overall well-being of both caregivers and patients.

Renal denervation achieves its antiarrhythmic effect through attenuating macrophage activation and neuroinflammation in stellate ganglia in chronic heart failure

AIMS

Renal denervation (RDN) is widely investigated in multiple studies of sympathetically driven cardiovascular diseases. While the therapeutic potential of RDN for ventricular arrhythmia has been reported, the mechanisms responsible for its antiarrhythmic effect are poorly understood. Our recent study showed that macrophage expansion-induced neuroinflammation in the stellate ganglion (SG) was a critical factor for cardiac sympathetic overactivation and ventricular arrhythmogenesis in chronic heart failure (CHF). This study investigates if and how RDN decreases ventricular arrhythmias by attenuating neuroinflammation in cardiac sympathetic postganglionic (CSP) neurons in CHF.

METHODS AND RESULTS

Rat CHF was induced by surgical ligation of the left anterior descending coronary artery (LAD). At 12 weeks after LAD ligation, completed bilateral RDN was achieved by surgically cutting all the visible renal nerves around the renal artery and vein, followed by applying of 70% ethanol around the vessels. Immunofluorescence staining and Western blot data showed that expression of granulocyte-macrophage colony-stimulating factor (GM-CSF) and its receptor-α subunit (GM-CSFRα) in SGs was increased in CHF rats. RDN not only reduced CHF-elevated GM-CSF levels in kidney, serum and SGs, but also attenuated macrophage expansion and neuroinflammation in SGs from CHF rats. Using flow cytometry, we confirmed that RDN reduced the percentage of macrophages in SGs, which is pathologically increased in CHF. RDN also decreased CHF-enhanced N-type Ca2+ currents in CSP neurons and attenuated CHF-elevated cardiac sympathetic nerve activity. ECG data from 24-hour continuous telemetry recording in conscious rats revealed that RDN improved CHF-induced heterogeneity of ventricular electrical activities and reduced the duration of spontaneous ventricular tachyarrhythmias in CHF rats.

CONCLUSIONS

RDN alleviates cardiac sympathetic overactivation and ventricular arrhythmogenesis through attenuating GM-CSF-induced macrophage activation and neuroinflammation within SGs in CHF. This suggests that manipulation of the GM-CSF signaling pathway could be a novel strategy for achieving the antiarrhythmic effect of RDN in CHF.

Excess Risk of Mortality and Hospitalization in Patients with Heart Failure According to Age and Comorbidity - A Nationwide Register Study

Background

Heart failure (HF) is associated with increased risk of death and a hospitalization, but for patients initiating guideline directed medical therapy, it is unknown how high these risks are compared to the general population - and how this may vary depending on age and comorbidity.

Methods

In this retrospective cohort study, we identified patients diagnosed with HF in the period 2011-2017, surviving the initial 120 days after diagnosis. Patients who were on angiotensin converting enzyme inhibitor (ACEi)/ angiotensin receptor blocker (ARB) and beta-blocker were included and matched to 5 non-HF individuals from the background population each based on age and sex. We assessed the 5-year risk of all-cause death, HF and non-HF hospitalization according to sex and age and baseline comorbidity.

Results

We included 35,367 patients with HF and 176,835 matched non-HF individuals. Patients with HF had a five-year excess risk (absolute risk difference) of death of 13% (31% [for HF] - 18% [for non-HF]), of HF hospitalization of 17% and of non-HF hospitalization of 24%. Excess risk of death increased with increasing age, whereas the relative risk decreased - for women in their twenties, the excess risk was 7%, risk ratio 7.2, while the excess risk was 18%, risk ratio 1.5 for women in their eighties. Having HF as a 60-year old man was associated with a five-year risk of death similar to a 75-year old man without HF. Further, HF was associated with an excess risk of non-HF hospitalization, ranging from 8% for patients >85 years to 30% for patients <30 years.

Conclusion

Regardless of age, sex and comorbidity, HF was associated with excess risk of mortality and non-HF hospitalizations, but the relative risk ratio diminishes sharply with advancing age, which may influence allocation of resources for medical care across populations.

Understanding Embolus Transport And Source To Destination Mapping Of Thromboemboli In Hemodynamics Driven By Left Ventricular Assist Device

Left Ventricular Assist Devices (LVADs) are a key treatment option for patients with advanced heart failure, but they carry a significant risk of thromboembolic complications. While improved LVAD design, and systemic anticoagulation regimen, have helped mitigate thromboembolic risks, ischemic stroke due to adverse thromboembolic events remains a major concern with current LVAD therapies. Improved understanding of embolic events, and embolus movement to the brain, is critical to develop techniques to minimize risks of occlusive embolic events such as a stroke after LVAD implantation. Here, we address this need, and devise a quantitative in silico framework to characterize thromboembolus transport and distrbution in hemodynamics driven by an operating LVAD. We conduct systematic numerical experiments to quantify the source-to-destination transport patterns of thromboemboli as a function of: LVAD outflow graft anastomosis, LVAD operating pulse modulation, thromboembolus sizes, and origin locations of emboli. Additionally, we demonstrate how the resulting embolus distribution patterns compare and correlate with descriptors based solely on hemodynamic patterns such as helicity, vorticity, and wall shear stress. Using the concepts of size-dependent embolus-hemodynamics interactions, and two jet flow model for hemodynamics under LVAD operation as established in our prior works, we gain valuable insights on departure of thromboembolus distribution from flow distribution, and establish that our in silico model can generate deep insights into embolus dynamics which is not otherwise available from standard of care imaging and clinical data.

Serum insulin-like growth factor-1 as a potential prognostic biomarker for heart failure with reduced ejection fraction: a meta-analysis

Background

Most studies have indicated that peripheral insulin-like growth levels factor-1 (IGF-1) is valuable in diagnosing heart failure, although the results have been inconsistent. To help solve the debate, we performed a meta-analysis to explore the relationship between IGF-1 and heart failure (HF).

Methods

We conducted an extensive search across various databases such as Embase, Cochrane Library, Pubmed, Medline, and Web of Science on May 30, 2023. From the extensive pool of studies, we selected 16 relevant articles, encompassing a total of 1,380 cases and 1,153 controls, to conduct a rigorous meta-analysis.

Results

The total results indicated that there is an association between lower IGF-1 level and HF. The random-effects model yielded a pooled standardized mean difference (SMD) of -0.598 (95% CI: -1.081 to -0.116, P = 0.015). Further subgroup analysis also showed that IGF-1 levels were associated with HF in the age difference ≥5 years subgroup and body mass index difference >1 subgroup. Additionally, significant association between IGF-1 levels and HF were detected in the "serum" samples and "Europe" subgroups. Importantly, we observed IGF-1 showed significant lower levels in patients with reduced ejection fraction (HFrEF) compared to the controls, not in patients with preserved ejection fraction (HFpEF). The Begg's and Egger's tests revealed no indication of publication bias.

Conclusions

Our meta-analysis has provided evidence suggesting a substantial correlation between reduced levels of IGF-1 and the occurrence of HF. Further prospective studies are necessary to ascertain the use of IGF-1 as a reliable biomarker for diagnosing HF, especially for HFrEF. But the diagnosis of HFpEF should be cautious.

Cardiovascular and Renal Treatment in Heart Failure Patients With Hyperkalemia or High Risk of Hyperkalemia: Rationale and Design of the CARE-HK in HF Registry

BACKGROUND

Despite guideline recommendations, many patients with heart failure (HF) do not receive target dosages of renin-angiotensin-aldosterone system inhibitors (RAASis) in clinical practice due, in part, to concerns about hyperkalemia (HK).

METHODS AND RESULTS

This noninterventional, multinational, multicenter registry (NCT04864795; 111 sites in Europe and the USA) enrolled 2558 eligible adults with chronic HF (mostly with reduced ejection fraction [HFrEF]). Eligibility criteria included use of angiotensin-converting-enzyme inhibitor/angiotensin-II receptor blocker/angiotensin-receptor-neprilysin inhibitor, being a candidate for or treatment with a mineralocorticoid receptor antagonist, and increased risk of HK (eg, current serum potassium > 5.0 mmol/L), history of HK in the previous 24 months, or estimated glomerular filtration rate < 45 mL/min/1.73 m2). Information on RAASi and other guideline-recommended therapies was collected retrospectively and prospectively (≥ 6 months). Patients were followed according to local clinical practice, without study-specific visits or interventions. The main objectives were to characterize RAASi treatment patterns compared with guideline recommendations, describe RAASi modifications following episodes of HK, and describe RAASi treatment in patients treated with patiromer. Baseline characteristics for the first 1000 patients are presented.

CONCLUSIONS

CARE-HK is a multinational prospective HF registry designed to report on the management and outcomes of patients with HF at high risk for HK in routine clinical practice.

Health insurance and clinical outcomes in patients with chronic heart failure in Latin America: an observational study of the Colombian Heart Failure Registry (RECOLFACA)

The effect of the health insurance type on the prognosis of heart failure (HF) patients in Colombia and Latin America is poorly known. We aimed to analyze the characteristics of HF patients that participated in the Colombian Heart Failure Registry (RECOLFACA) as stated by their health insurance type and their relationship with the immediate prognosis of these patients. Patients with HF diagnosis were included in the RECOLFACA registry between 2017-2019. The registry was conducted in 60 centers in Colombia. All-cause mortality was the principal outcome. To evaluate the impact of health insurance on mortality, a Cox proportional hazards regression model was used. The Kaplan-Meier analysis was performed to compare survival probabilities according to insurance type. All statistical analyses were two-tailed and were considered significant with a p value < 0.05. Of the 2,528 participants enrolled in the registry, 99% held details about their health insurance. Of those, 897 patients (35.6%) were covered by public insurance. These patients were significantly younger, with a lower proportion of men, more frequently from rural origin, and lower prevalence of most comorbidities (omitting hypertension, chronic obstructive pulmonary disease (COPD), and Chagas disease) than those with private insurance. Furthermore, patients with public insurance had a worse functional class, as well as a poorer quality of life, and lower frequency of use of implantable devices, while exhibiting similar prescription rates of triple medical therapy for HF. Finally, no differences in short-term mortality were observed between the two groups (HR 1.09; 95% CI 0.79, 1.51). The type of health insurance represents a condition related with relevant differences in the profile of patients with HF in Colombia. Despite this, no significant differences were detected in the short-term prognosis of these patients based on the type of health insurance.

Protein kinase N promotes cardiac fibrosis in heart failure by fibroblast-to-myofibroblast conversion

Chronic fibrotic tissue disrupts various organ functions. Despite significant advances in therapies, mortality and morbidity due to heart failure remain high, resulting in poor quality of life. Beyond the cardiomyocyte-centric view of heart failure, it is now accepted that alterations in the interstitial extracellular matrix (ECM) also play a major role in the development of heart failure. Here, we show that protein kinase N (PKN) is expressed in cardiac fibroblasts. Furthermore, PKN mediates the conversion of fibroblasts into myofibroblasts, which plays a central role in secreting large amounts of ECM proteins via p38 phosphorylation signaling. Fibroblast-specific deletion of PKN led to a reduction of myocardial fibrotic changes and cardiac dysfunction in mice models of ischemia-reperfusion or heart failure with preserved ejection fraction. Our results indicate that PKN is a therapeutic target for cardiac fibrosis in heart failure.

Meta-analysis of sotagliflozin, a dual sodium-glucose-cotransporter 1/2 inhibitor, for heart failure in type 2 diabetes

Sodium-glucose co-transporters (SGLTs) mediate sodium and glucose transport across cell membranes. SGLT2 inhibitors have a recognized place within heart failure (HF) guidelines. We evaluated the effect of sotagliflozin on HF and cardiovascular outcomes in participants with type 2 diabetes. Scopus, Medline, Embase and Central were searched from inception until 2 June 2023. Randomized controlled trials evaluating sotagliflozin in type 2 diabetes participants and reporting HF events were selected. Major adverse cardiovascular events (MACE) and systolic blood pressure were evaluated. The Cochrane risk of bias tool (RoB 2.0) was used. Pooled mean difference (MD), relative risk (RR), 95% confidence intervals and the number needed to treat (NNT) were estimated (PROSPERO: CRD42023432732). We selected nine studies (n = 15 320 participants: n = 8040 intervention and n = 7280 control). The median follow-up was 13.4 months (Q1 = 13, Q3 = 21). One study recruited participants with HF at baseline. After a follow-up of >52 weeks, sotagliflozin significantly reduced the risk of HF [n = 8 studies; RR = 0.66 (0.64, 0.69)], stroke [n = 6 studies; RR = 0.75 (0.58, 0.97)] and MACE [n = 8 studies; RR = 0.73 (0.66, 0.81)]. The NNT was 20 and 26 for HF and MACE, respectively. Sotagliflozin lowered systolic blood pressure [n = 7; MD = -2.38 mmHg (-2.79, -1.97)]. No dose-dependent effect was identified for HF [200 mg: RR = 0.38 (0.16, 0.89), 400 mg: RR = 0.57 (0.39, 0.85), P-value = 0.22]. The high risk of bias was a limitation of this review. Sotagliflozin reduced HF and cardiovascular events in type 2 diabetes participants. Research exploring its effects in HF and comparisons with SGLT2 inhibitors is warranted to determine if dual SGLT inhibition surpasses selective inhibition.

Association of Supranormal Left Ventricular Function With Major Adverse Cardiovascular Events: A Systematic Review of Literature

This systematic review aims to assess the prognostic implications of supranormal left ventricular ejection fraction (snLVEF) in cardiovascular disease, particularly heart failure (HF), and explore its association with major adverse cardiovascular events (MACE). A comprehensive search of electronic databases was conducted to identify relevant studies examining the relationship between snLVEF and cardiovascular outcomes. Studies utilizing various imaging modalities, including echocardiography, cardiac positron emission tomography, computed tomography, and cardiac magnetic resonance imaging, were included. Data extraction and quality assessment were performed according to predefined criteria. The review identified several studies investigating the association between snLVEF and cardiovascular outcomes. Findings revealed an increased risk of MACE, including HF hospitalization and stroke, in patients with snLVEF, particularly in women. Coronary microvascular dysfunction and autonomic dysregulation were proposed mechanisms underlying these associations. However, conflicting results were observed when focusing exclusively on snLVEF, with some studies reporting similar outcomes between snLVEF and other HF subgroups. snLVEF (>65%) appears to be associated with an elevated risk of MACE, particularly in women, suggesting a U-shaped mortality curve. However, the prognostic implications may vary among HF patients, necessitating further research to elucidate the specific contributions of HF phenotypes and comorbidities. These findings underscore the importance of tailored risk assessment and management strategies for patients with snLVEF, particularly in the context of HF.

The Impact of Metabolic Syndrome on Heart Failure in Young Korean Population: A Nationwide Study

Limited data are available regarding the effect of metabolic syndrome on heart failure (HF) development in young individuals. Utilizing data from the Korean National Health Insurance Service, we included a total of 1,958,284 subjects in their 40s who underwent health screening between January 2009 and December 2009 in Korea. Subjects were classified into three groups: normal, pre-metabolic syndrome (Pre-MetS), and metabolic syndrome (MetS). MetS was identified in 10.58% of males and 5.21% of females. The hazard ratio for HF in subjects with MetS was 1.968 (95% CI: 1.526-2.539) for males and 2.398 (95% CI: 1.466-3.923) for females. For those with Pre-MetS, the hazard ratio was 1.607 (95% CI: 1.293-1.997) in males and 1.893 (95% CI: 1.43-2.505) in females. Additionally, acute myocardial infarction and low hemoglobin levels were identified as significant risk factors for HF in both genders. MetS approximately doubled the risk of developing HF in individuals in their 40s. Pre-MetS was also a significant risk factor for HF in this population.

Heart Failure Risk Prediction in a Population With a High Burden of Diabetes: Evidence From the Strong Heart Study

BACKGROUND

Despite the high burden of diabetes and cardiovascular risk factors in American Indian communities in the United States, prospective studies of heart failure (HF) in this population group are scarce, and the generalizability of previous HF risk scales may be limited. We developed a parsimonious HF risk prediction equation that accounts for relevant risk factors affecting American Indian communities, focusing on diabetes and kidney damage.

METHODS AND RESULTS

A total of 3059 participants from the SHS (Strong Heart Study) (56±8 years of age, 58% women) were included. Five hundred seven developed HF. Progressively adjusted Cox proportional hazards models were used to identify risk factors for HF and HF subtypes. Predictors of risk at 5 and 10 years included older age (hazard ratio [HR], 1.79 [95% CI, 1.43-2.25]; HR, 1.68 [95% CI, 1.44-1.95]), smoking (HR, 2.26 [95% CI, 1.23-4.13]; HR, 2.08 [95% CI, 1.41-3.06]), macroalbuminuria (HR, 8.38 [95% CI, 4.44-15.83]; HR, 5.20 [95% CI, 3.42-7.9]), microalbuminuria (HR, 2.72 [95% CI, 1.51-4.90]; HR, 1.92 [95% CI, 1.33, 2.78]), and previous myocardial infarction (HR, 6.58 [95% CI, 2.54-17.03]; HR, 3.87 [95% CI, 2.29-6.54]), respectively. These predictors, together with diabetes diagnosis and glycated hemoglobin were significant at 10 and 28 years. High discrimination performance was achieved (C index, 0.81 [95% CI, 0.76-0.84]; C index, 0.78 [95% CI, 0.75-0.81]; and C index, 0.77 [95% CI, 0.74-0.78] at 5, 10, and up to 28 years of follow up, respectively). Some associations varied across HF subtypes, although diabetes, albuminuria, and previous myocardial infarction were associated with all subtypes.

CONCLUSIONS

This prospective study of HF risk factors in American Indian communities identifies that smoking, body mass index, and indicators of diabetes control and kidney damage (glycated hemoglobin and albuminuria) are major determinants of HF. Our findings can improve HF risk assessment in populations with a high burden of diabetes.

Clinical implication of sarcopenia in patients with acute decompensated heart failure: Design and rationale

BACKGROUND

Sarcopenia is widely recognized as an age-related syndrome that involves a progressive loss of skeletal muscle mass and muscle strength. Many studies have shown that sarcopenia is associated with disease severity and exercise intolerance, as well as an independent predictor of mortality in patients with chronic heart failure. However, there is little research on the impact of sarcopenia on patients hospitalized with acute decompensated heart failure (ADHF).

METHODS

This is a prospective, multicentre, observational cohort study. Enrolment of at least 500 participants adults aged over 18 years hospitalized for ADHF is planned, with a minimum of 195 cases each for patients with and without sarcopenia. Each patient is followed up for 6 months, 1 year, 2 years or until the occurrence of endpoint. The primary clinical outcome is all-cause mortality at 6 months. Other clinical outcomes of interest include cardiovascular mortality, all-cause hospitalization, heart failure hospitalization and survival time from enrolment to event occurrence. The sympathetic nervous activity, psychosocial factors, quality of life, physical function, and physical activity will be assessed and recorded at baseline. This study will examine the correlation between sarcopenia and prognosis in different subgroups of patients, and explore the additive effect of different comorbidities and sarcopenia on prognosis in patients with ADHF.

CONCLUSIONS

This study will provide important information and evidence on the clinical aspects of sarcopenia in patients with ADHF, potentially contributing to accurate risk stratification and optimal clinical management for patients with ADHF.

REGISTRATION

(URL: https://www.

CLINICALTRIALS

gov); Unique identifier: NCT06298825.

Shared care for patients with a left ventricular assist device: a scoping review

Left ventricular assist devices (LVADs) are increasingly implanted in patients with advanced heart failure. Currently, LVAD care is predominantly concentrated at specialized tertiary care hospitals. However, the increasing workload and logistical burden for implanting centres pose significant challenges to accessing care for individual patients in remote areas. An emerging approach to LVAD patient management is the use of a shared care model (SCM), which facilitates collaboration between implanting centres and local non-implanting hospitals. This scoping review explores and synthesizes the current scientific evidence on the use of SCMs in LVAD care management. Eligible studies were identified in EMBASE, PubMed MEDLINE, Web of Science, Cochrane and Google Scholar. Findings were synthesized in accordance with PRISMA-ScR guidelines. Of the 950 records screened, five articles met the inclusion criteria. Four review articles focused on the proposed benefits and challenges of using SCMs. Main benefits included improved patient satisfaction and continuity of care. Important challenges were initial education of non-implanting centre staff and maintaining competency. One prospective study showed that absence of LVAD-specific care was associated with impaired survival and higher rates of pump thrombosis and LVAD-related infections. The use of SCMs is a promising approach in the long-term management of LVAD patients. However, sufficient evidence about the impact of SCMs on patients and the healthcare system is not currently available. Standardized protocols based on prospective studies are needed to develop safe and effective shared care for LVAD patients.

Factors shaping return to work: a qualitative study among heart failure patients in Denmark

PURPOSE

For people of working-age diagnosed with heart failure, return to work (RTW) is often a significant rehabilitation goal. To inform vocational rehabilitation strategies, we conducted a qualitative study aiming at exploring patient experienced support needs, and barriers and facilitators to RTW.

MATERIALS AND METHODS

Ten men and eight women with heart failure (48-60 years) were interviewed in Denmark during 2022. A thematic analysis was conducted using the Sherbrooke model as framework.

RESULTS

Multiple factors operating at different levels shaped participants' RTW processes. Personal factors included motivation, mental and physical health, social relations, and financial concerns. Factors in the health care system shaping RTW included access to medical treatment, mental health care, and cardiac rehabilitation. Factors in workplace system shaping RTW included job type, employer support, and social relations. Factors in the legislative and insurance system shaping RTW included authorities' administration of sickness benefits, professional assistance, vocational counselling, and interdisciplinary cooperation.

CONCLUSION

Findings illustrate a need to include vocational rehabilitation within comprehensive cardiac rehabilitation programmes, to identify people in need of support, to improve the coordination of care across the health and social care sectors, and to involve employers, health care professionals, and social workers in individualised RTW strategies.

The multidimensional value of natriuretic peptides in heart failure, integrating laboratory and clinical aspects

Natriuretic peptides (NP) play an essential role in heart failure (HF) regulation, and their measurement has improved diagnostic and prognostic accuracy. Clinical symptoms and objective measurements, such as NP levels, should be included in the HF definition to render it more reliable and consistent among observers, hospitals, and healthcare systems. BNP and NT-proBNP are reasonable surrogates for cardiac disease, and their measurement is critical to early diagnosis and risk stratification of HF patients. NPs should be measured in all patients presenting with dyspnea or other symptoms suggestive of HF to facilitate early diagnosis and risk stratification. Both BNP and NT-proBNP are currently used for guided HF management and display comparable diagnostic and prognostic accuracy. Standardized cutoffs for each NP assay are essential for data comparison. The value of NP testing is recognized at various levels, including patient empowerment and education, analytical and operational issues, clinical HF management, and cost-effectiveness.

Evaluating the Predictive Accuracy of Socioeconomic Metrics on Heart Failure Risk and Outcomes in Maryland

Introduction Annually, a significant number of Americans are hospitalized due to heart failure (HF), marking it as an important contributor to morbidity and mortality. It also poses a substantial financial burden and leads to considerable losses in productivity. Socioeconomic disparities may intensify the risk of hospital admissions following HF and worsen patient outcomes.  Objective This study investigates the predictive accuracy of different socioeconomic metrics on the risk and outcomes of HF in Maryland.  Methodology To evaluate the predictive accuracy of various socioeconomic metrics on the risk of HF, we utilized data from the Maryland State Inpatient Database. Our retrospective analysis covered hospital admissions for HF from 2016 to 2020, correlating these with poverty indicators derived from U.S. Census data at the zip code level with socioeconomic metrics like race/ethnicity, insurance, household median income, and neighborhood distress (Distressed Communities Index (DCI)). Multivariate logistic regression models adjusted for confounders and isolated the impact of socioeconomic factors.  Result During the study period, a total of 389,220 cases of HF were reported in the Maryland State Inpatient Database (SID). The majority of these patients were White individuals (56.8%) and female (51.1%), with a median age of 73 years (interquartile range (IQR) 62-82 years). The in-hospital mortality rate was 5.1%, while rates of atrial fibrillation, cardiac arrest, and prolonged hospital stay were 34.4%, 0.3%, and 48.4%, respectively. The studied socioeconomic metrics showed varying predictive power for the risk of HF-related admissions and selected outcomes, with the highest predictive accuracy for neighborhood distress on the risk of HF (AUC = 0.53, 95% CI 0.530-0.532), atrial fibrillation (AUC = 0.479, 95% CI 0.477-0.480), cardiac arrest (AUC = 0.511, 95% CI 0.498-0.525), prolonged hospital stays (AUC = 0.531, 95% CI 0.530-0.532), and mortality (AUC = 0.499, 95% CI 0.496-0.502).  Conclusions The Distressed Communities Index demonstrates significant predictive power for assessing the risk of hospital admissions following HF and outcomes among individuals with HF, exceeding factors like insurance, race/ethnicity, and household median income.