Ferric carboxymaltose for iron deficiency in patients with heart failure: a systematic review and meta-analysis

Aim: Iron deficiency (ID) is associated with heart failure (HF) in a considerable proportion of patients. To improve the quality of life, lower the frequency of hospitalizations, and lower mortality rates of chronic HF patients (HF), this meta-analysis will look into the role of iron supplementation using ferric carboxymaltose (FCM). Methods & results: From inception until 1 October 2023, we conducted a thorough literature search of electronic databases for peer-reviewed publications. Around 5229 HF patients were included, of which 2691 received FCM while 2538 received placebo. Conclusion: FCM reduces HF-related hospitalizations but doesn't improve overall or cardiovascular mortality in those with HF and ID. The overall results support FCM's role in managing iron deficiency in heart failure.

The role of sacubitril/valsartan in abnormal renal function patients combined with heart failure: a meta-analysis and systematic analysis

AIMS

This study aimed to investigate the efficacy and safety of sacubitril/valsartan in abnormal renal function (eGFR < 60 ml/min/1.73m2) patients combined with heart failure based on randomized controlled trials (RCTs) and observational studies.

METHODS

The Embase, PubMed and the Cochrane Library were searched for relevant studies from inception to December 2023. Dichotomous variables were described as event counts with the odds ratio (OR) and 95% confidence interval (CI) values. Continuous variables were expressed as mean standard deviation (SD) with 95% CIs.

RESULTS

A total of 6 RCTs and 8 observational studies were included, involving 17335 eGFR below 60 ml/min/1.73m2 patients combined with heart failure. In terms of efficacy, we analyzed the incidence of cardiovascular events and found that sacubitril/valsartan significantly reduced the risk of cardiovascular death or heart failure hospitalization in chronic kidney disease (CKD) stages 3-5 patients with heart failure (OR: 0.65, 95%CI: 0.54-0.78). Moreover, sacubitril/valsartan prevented the serum creatinine elevation (OR: 0.81, 95%CI: 0.68-0.95), the eGFR decline (OR: 0.83, 95% CI: 0.73-0.95) and the development of end-stage renal disease in this population (OR:0.73, 95%CI:0.60-0.89). As for safety outcomes, we did not find that the rate of hyperkalemia (OR:1.31, 95%CI:0.79-2.17) and hypotension (OR:1.57, 95%CI:0.94-2.62) were increased in sacubitril/valsartan group among CKD stages 3-5 patients with heart failure.

CONCLUSIONS

Our meta-analysis proves that sacubitril/valsartan has a favorable effect on cardiac function without obvious risk of adverse events in abnormal renal function patients combined with heart failure, indicating that sacubitril/valsartan has the potential to become perspective treatment for these patients.

Circ-0006332 stimulates cardiomyocyte pyroptosis via the miR-143/TLR2 axis to promote doxorubicin-induced cardiac damage

Doxorubicin (DOX)-mediated cardiotoxicity can impair the clinical efficacy of chemotherapy, leading to heart failure (HF). Given the importance of circRNAs and miRNAs in HF, this paper intended to delineate the mechanism of the circular RNA 0006332 (circ -0,006,332)/microRNA (miR)-143/Toll-like receptor 2 (TLR2) axis in doxorubicin (DOX)-induced HF. The binding of miR-143 to circ -0,006,332 and TLR2 was assessed with the dual-luciferase assay, and the binding between miR-143 and circ -0,006,332 was determined with FISH, RIP, and RNA pull-down assays. miR-143 and/or circ -0,006,332 were overexpressed in rats and cardiomyocytes, followed by DOX treatment. In cardiomyocytes, miR-143 and TLR2 expression, cell viability, LDH release, ATP contents, and levels of IL-1β, IL-18, TNF-α, and pyroptosis-related molecules were examined. In rats, cardiac function, serum levels of cardiac enzymes, apoptosis, myocardial fibrosis, and levels of IL-1β, IL-18, TNF-α, TLR2, and pyroptosis-related molecules were detected. miR-143 diminished TLR2 expression by binding to TLR2, and circ -0,006,332 bound to miR-143 to downregulate miR-143 expression. miR-143 expression was reduced and TLR2 expression was augmented in DOX-induced cardiomyocytes. miR-143 inhibited DOX-induced cytotoxicity by suppressing pyroptosis in H9C2 cardiomyocytes. In DOX-induced rats, miR-143 reduced cardiac dysfunction, myocardial apoptosis, myocardial fibrosis, TLR2 levels, and pyroptosis. Furthermore, overexpression of circ -0,006,332 blocked these effects of miR-143 on DOX-induced cardiomyocytes and rats. Circ -0,006,332 stimulates cardiomyocyte pyroptosis by downregulating miR-143 and upregulating TLR2, thus promoting DOX-induced cardiac injury.

Factors associated with risk analysis for asymptomatic left ventricular diastolic dysfunction in nondialysis patients with chronic kidney disease

Heart failure (HF) constitutes a major determinant of outcome in chronic kidney disease (CKD) patients. The main pattern of HF in CKD patients is preserved ejection fraction (HFpEF), and left ventricular diastolic dysfunction (LVDD) is a frequent pathophysiological mechanism and specific preclinical manifestation of HFpEF. Therefore, exploring and intervention of the factors associated with risk for LVDD is of great importance in reducing the morbidity and mortality of cardiovascular disease (CVD) complications in CKD patients. We designed this retrospective cross-sectional study to collect clinical and echocardiographic data from 339 nondialysis CKD patients without obvious symptoms of HF to analyze the proportion of asymptomatic left ventricular diastolic dysfunction (ALVDD) and its related factors associated with risk by multivariate logistic regression analysis. Among the 339 nondialysis CKD patients, 92.04% had ALVDD. With the progression of CKD stage, the proportion of ALVDD gradually increased. The multivariate logistic regression analysis revealed that increased age (OR 1.237; 95% confidence interval (CI) 1.108-1.381, per year), diabetic nephropathy (DN) and hypertensive nephropathy (HTN) (OR 25.000; 95% CI 1.355-48.645, DN and HTN vs chronic interstitial nephritis), progression of CKD stage (OR 2.785; 95% CI 1.228-6.315, per stage), increased mean arterial pressure (OR 1.154; 95% CI 1.051-1.268, per mmHg), increased urinary protein (OR 2.825; 95% CI 1.484-5.405, per g/24 h), and low blood calcium (OR 0.072; 95% CI 0.006-0.859, per mmol/L) were factors associated with risk for ALVDD in nondialysis CKD patients after adjusting for other confounding factors. Therefore, dynamic monitoring of these factors associated with risk, timely diagnosis and treatment of ALVDD can delay the progression to symptomatic HF, which is of great importance for reducing CVD mortality, and improving the prognosis and quality of life in CKD patients.

Prognostic value of plasma secretoneurin concentration in patients with heart failure with reduced ejection fraction in one-year follow-up

BACKGROUND

This is the first study to examine the clinical utility of measuring plasma secretoneurin (SN) levels in patients with heart failure with reduced ejection fraction (HFrEF), as a predictor of unplanned hospitalization, and all-cause mortality independently, and as a composite endpoint at one-year follow-up.

METHODS

The study group includes 124 caucasian patients in New York Heart Association (NYHA) classes II to IV. Plasma SN concentrations were statistically analyzed in relation to sex, age, BMI, etiology of HFrEF, pharmacotherapy, clinical, laboratory and echocardiographic parameters. Samples were collected within 24 h of admission to the hospital.

KEY RESULTS

In the 12-month follow-up, high SN levels were noted for all three endpoints.

CONCLUSIONS

SN positively correlates with HF severity measured by NYHA classes and proves to be a useful prognostic parameter in predicting unplanned hospitalizations and all-cause mortality among patients with HFrEF. Patients with high SN levels may benefit from systematic follow-up and may be candidates for more aggressive treatment.

Genetic analysis and family screening for dilated cardiomyopathy: a retrospective analysis of the stepwise pedigree approach

AIMS

This study aimed to assess the practicality of using a stepwise pedigree-based approach to differentiate between familial and sporadic Dilated Cardiomyopathy (DCM), while also considering timing of the genetic analysis. The analysis includes an examination of the extent to which complete family investigations were conducted in real-world scenarios as well as the length of the investigation.

METHODS

The stepwise pedigree approach involved conducting a comprehensive family history spanning 3 to 4 generations, reviewing medical records of relatives, and conducting clinical screening using echocardiography and electrocardiogram on first-degree relatives. Familial DCM was diagnosed when at least 2 family members were found to have DCM, and genetic analysis was considered as an option. This study involved a manual review of all DCM investigations conducted at the Centre of Cardiovascular Genetics at Umeå University Hospital, where the stepwise pedigree approach has been employed since 2007.

RESULTS

The investigation process had a mean duration of 643 days (95% CI 560.5-724.9). Of the investigations preformed, 94 (68%) were complete, 12 (9%) were ongoing, and 33 (24%) were prematurely terminated and thus incomplete. At the conclusion of the investigations, 55 cases (43%) were classified as familial DCM, 50 (39%) as sporadic DCM, and 22 (18%) remained unassessed due to incomplete pedigrees. Among the familial cases, genetic verification was achieved in 40%.

CONCLUSION

The stepwise pedigree approach is time consuming, and the investigations are often incomplete which may suggest that a more direct approach to genetic analysis, may be warranted.

Machine learning model and nomogram to predict the risk of heart failure hospitalization in peritoneal dialysis patients

INTRODUCTION

The study presented here aimed to establish a predictive model for heart failure (HF) and all-cause mortality in peritoneal dialysis (PD) patients with machine learning (ML) algorithm.

METHODS

We retrospectively included 1006 patients who initiated PD from 2010 to 2016. XGBoost, random forest (RF), and AdaBoost were used to train models for assessing risk for 1-year and 5-year HF hospitalization and mortality. The performance was validated using fivefold cross-validation. The optimal ML algorithm was used to construct the models to predictive the risk of the HF and all-cause mortality. The prediction performance of ML methods and Cox regression was compared.

RESULTS

Over a median follow-up of 49 months. Two hundred and ninety-eight patients developed HF required hospitalization; 199 patients died during the follow-up. The RF model (AUC = 0.853) was the best performing model for predicting HF, and the XGBoost model (AUC = 0.871) was the best model for predicting mortality. Baseline moderate or severe renal disease, systolic blood pressure (SBP), body mass index (BMI), age, Charlson Comorbidity Index (CCI) score were strongly associated with HF hospitalization, whereas age, CCI score, creatinine, age, high-density lipoprotein cholesterol (HDL-C), total cholesterol, baseline estimated glomerular filtration rate (eGFR) were the most significant predictors of mortality. For all the above endpoints, the ML models demonstrated better discrimination than Cox regression.

CONCLUSIONS

We developed and validated a novel method to predict the risk factors of HF and all-cause mortality that integrates readily available clinical, laboratory, and electrocardiographic variables to predict the risk of HF among PD patients.

Serum microRNA-125b-5p expression in patients with dilated cardiomyopathy combined with heart failure and its effect on myocardial fibrosis

OBJECTIVE

This paper was performed to decipher the serum microRNA (miR)-125b-5p expression in patients with dilated cardiomyopathy (DCM) combined with heart failure (HF) and its effect on myocardial fibrosis.

METHODS

Serum miR-125b-5p expression, LVEDD, LVESD, LVEF, LVFS, and NT-proBNP levels were evaluated in clinical samples. A rat DCM model was established by continuous intraperitoneal injection of adriamycin and treated with miR-125b-5p agomir and its negative control. Cardiac function, serum TNF-α, hs-CRP, and NT-proBNP levels, pathological changes in myocardial tissues, cardiomyocyte apoptosis, and the expression levels of miR-125b-5p and fibrosis-related factors were detected in rats.

RESULTS

In comparison to the control group, the case group had higher levels of LVEDD, LVESD, and NT-pro-BNP, and lower levels of LVEF, LVFS, and miR-125b-5p expression levels. Overexpression of miR-125b-5p effectively led to the improvement of cardiomyocyte hypertrophy and collagen arrangement disorder in DCM rats, the reduction of blue-stained collagen fibers in the interstitial myocardium, the reduction of the levels of TNF-α, hs-CRP, and NT-proBNP and the expression levels of TGF-1β, Collagen I, and α-SMA, and the reduction of the number of apoptosis in cardiomyocytes.

CONCLUSION

Overexpression of miR-125b-5p is effective in ameliorating myocardial fibrosis.

A meta-analysis and review on the effectiveness and safety of renal denervation in managing heart failure with reduced ejection fraction

OBJECTIVE

This study aimed to systematically evaluate the effectiveness and safety of renal denervation (RDN) in managing heart failure with reduced ejection fraction (HFrEF).

METHODS

A comprehensive search was done in multiple databases: Cochrane Library, PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Data, and VIP Database for Chinese Technical Periodicals. All clinical trials investigating RDN treatment for HFrEF through 15 March 2024 were gathered. The quality of the included studies was evaluated utilizing the Cochrane risk assessment tool. The pertinent data were gathered, and a meta-analysis was done using Review Manager 5.3, accompanied by sensitivity and publication bias analyses.

RESULTS

After applying the inclusion and exclusion criteria, eight randomized controlled trials (RCTs) were selected for analysis, encompassing 314 patients; 154 patients underwent RDN treatment during hospitalization, while 150 were randomized to the control group to receive medication therapy. The meta-analysis demonstrated that compared to medication therapy, RDN contributed to a 9.59% increase in left ventricular ejection fraction (LVEF) (95% CI: 7.92-11.27, Z = 11.20, p < 0.01); a decrease in brain natriuretic peptide (BNP) (95% CI: -364.19--191.75, Z = 6.32, p < 0.01); a decrease in N-terminal pro B-type natriuretic peptide (NT-proBNP) (95% CI: -1300.15--280.95, Z = 3.04, p < 0.01); a decrease in the New York Heart Association (NYHA) classification (95% CI: -1.58--0.34, Z = 3.05, p < 0.01); a 90.00-m increase in 6-min walk test (6MWT) (95% CI: 68.24-111.76, Z = 8.11, p < 0.01); a reduction of 4.05 mm in left ventricular end-diastolic diameter (LVEDD) (95% CI: -5.65--2.48, Z = 5.05, p < 0.01); a decrease of 4.60 heart beats·min-1 (95% CI: -8.83--0.38, Z = 2.14, p < 0.05); and a 4.67-mm reduction in left atrial diameter (LAD) (95% CI: -6.40--2.93, Z = 5.27, p < 0.01). Left ventricular end-systolic diameter (LVESD) and systolic/diastolic blood pressure (OSBP/ODBP) were similar between groups (p > 0.01). As the safety indicator, estimated glomerular filtration rate (eGFR) improved by 7.11 in the RDN group [ml/(min·1.73 m2)] (95% CI: 1.10-13.12, Z = 2.32, p < 0.05). LVEF, BNP, 6MWT, LVEDD, LAD and eGFR were meta-analyzed using a fixed-effects model, the other indicators a random-effects model.

CONCLUSION

RDN significantly ameliorated cardiac function in HFrEF patients while exhibiting commendable safety.

Mitochondrial Calcium Regulation of Cardiac Metabolism in Health and Disease

Oxidative phosphorylation is regulated by mitochondrial calcium (Ca2+) in health and disease. In physiological states, Ca2+ enters via the mitochondrial Ca2+ uniporter and rapidly enhances NADH and ATP production. However, maintaining Ca2+ homeostasis is critical: insufficient Ca2+ impairs stress adaptation, and Ca2+ overload can trigger cell death. In this review, we delve into recent insights further defining the relationship between mitochondrial Ca2+ dynamics and oxidative phosphorylation. Our focus is on how such regulation affects cardiac function in health and disease, including heart failure, ischemia-reperfusion, arrhythmias, catecholaminergic polymorphic ventricular tachycardia, mitochondrial cardiomyopathies, Barth syndrome, and Friedreich's ataxia. Several themes emerge from recent data. First, mitochondrial Ca2+ regulation is critical for fuel substrate selection, metabolite import, and matching of ATP supply to demand. Second, mitochondrial Ca2+ regulates both the production and response to reactive oxygen species (ROS), and the balance between its pro- and antioxidant effects is key to how it contributes to physiological and pathological states. Third, Ca2+ exerts localized effects on the electron transport chain (ETC), not through traditional allosteric mechanisms but rather indirectly. These effects hinge on specific transporters, such as the uniporter or the Na+/Ca2+ exchanger, and may not be noticeable acutely, contributing differently to phenotypes depending on whether Ca2+ transporters are acutely or chronically modified. Perturbations in these novel relationships during disease states may either serve as compensatory mechanisms or exacerbate impairments in oxidative phosphorylation. Consequently, targeting mitochondrial Ca2+ holds promise as a therapeutic strategy for a variety of cardiac diseases characterized by contractile failure or arrhythmias.

Nrf2-Keap1 in Cardiovascular Disease: Which Is the Cart and Which the Horse?

High levels of oxidant stress in the form of reactive oxidant species are prevalent in the circulation and tissues in various types of cardiovascular disease including heart failure, hypertension, peripheral arterial disease, and stroke. Here we review the role of nuclear factor erythroid 2-related factor 2 (Nrf2), an important and widespread antioxidant and anti-inflammatory transcription factor that may contribute to the pathogenesis and maintenance of cardiovascular diseases. We review studies showing that downregulation of Nrf2 exacerbates heart failure, hypertension, and autonomic function. Finally, we discuss the potential for using Nrf2 modulation as a therapeutic strategy for cardiovascular diseases and autonomic dysfunction.

Prediabetes is associated with increased cardiac events in patients with cancer who are prescribed anthracyclines

BACKGROUND

Prediabetes, which is a precedent of overt diabetes, is a known risk factor for adverse cardiovascular outcomes. Its impact on adverse cardiovascular outcomes in patients with cancer who are prescribed anthracycline-containing chemotherapy (ACT) is uncertain. The objective of this study was to evaluate the association of prediabetes with cardiovascular events in patients with cancer who are prescribed ACT.

METHODS

The authors identified patients with cancer who received ACT from 2000 to 2019 from Clinical Data Analysis Reporting System of Hong Kong. Patients were divided into diabetes, prediabetes, and normoglycemia groups based on their baseline glycemic profile. The Primary outcome, a major adverse cardiovascular event (MACE), was the composite event of hospitalization for heart failure and cardiovascular death.

RESULTS

Among 12,649 patients at baseline, 3997 had prediabetes, and 5622 had diabetes. Over median follow-up of 8.7 years, the incidence of MACE was 211 (7.0%) in the normoglycemia group, 358 (9.0%) in the prediabetes group, and 728 (12.9%) in the diabetes group. Compared with normoglycemia, prediabetes (adjusted hazard ratio [HR], 1.20; 95% confidence interval [CI], 1.01-1.43) and diabetes (adjusted HR, 1.46; 95% CI, 1.24-1.70) were associated with an increased risk of MACE. In the prediabetes group, 475 patients (18%) progressed to overt diabetes and exhibited a greater risk of MACE (adjusted HR, 1.76; 95% CI, 1.31-2.36) compared with patients who remained prediabetic.

CONCLUSIONS

In patients with cancer who received ACT, those who had prediabetes at baseline and those who progressed to diabetes at follow-up had an increased risk of MACE. The optimization of cardiovascular risk factor management, including prediabetes, should be considered in patients with cancer who are treated before and during ACT to reduce cardiovascular risk.

PLAIN LANGUAGE SUMMARY

Patients with cancer who have preexisting diabetes have a higher risk of cardiovascular events, and prediabetes is often overlooked. In this study of 12,649 patients with cancer identified in the Clinical Data Analysis Reporting System of Hong Kong who were receiving treatment with anthracycline drugs, prediabetes was correlated with increased deaths from cardiovascular disease and/or hospitalizations for heart failure. Patients who progressed from prediabetes to diabetes within 2 years had an increased risk of combined hospitalization for heart failure and death from cardiovascular disease. These findings indicate the importance of paying greater attention to cardiovascular risk factors, including how prediabetes is managed, in patients who have cancer and are receiving chemotherapy with anthracyclines, emphasizing the need for surveillance, follow-up strategies, and consideration of prediabetes management in cancer care.

Two-Year Clinical Outcomes of Staged Transcatheter Mitral Edge-to-Edge Repair After Transcatheter Aortic Valve Replacement

Residual significant mitral regurgitation (MR) can increase the risk of adverse events after transcatheter aortic valve replacement (TAVR). The clinical benefits of staged transcatheter edge-to-edge repair (TEER) after TAVR remain underexplored. This study aimed to investigate the clinical outcomes of staged TEER for residual significant MR after TAVR. This observational study included 314 consecutive patients with chronic residual grade 3+ or 4+ MR at the 30-day follow-up after TAVR, with 104 patients (33.1%) treated with staged TEER (TEER group) and 210 (66.9%) with medical therapy alone. The primary composite outcomes were all-cause mortality and heart failure hospitalization at 2 years. Additional analysis, including changes in MR grade and the New York Association functional classification, and subgroup outcome comparisons based on MR etiology were also conducted. In our study, the rate of primary composite outcome was lower in the TEER group than in the medical therapy alone group (33.7% vs 48.1%, p = 0.015). Significant improvement in MR grade and New York Association class was observed in the TEER group after 2 years. The subgroup analysis demonstrated that in patients with degenerative MR, a lower incidence of composite outcome and heart failure hospitalization was observed in the TEER group (hazard ratio 0.35, 95% confidence interval 0.23 to 0.53, p <0.001). In conclusion, staged TEER after TAVR was associated with reduced MR and improved clinical outcomes. The clinical significance of MR after TAVR should be carefully evaluated, and TEER should be considered for patients with significant residual MR, particularly, those with degenerative MR.

Daytime symptom trajectories among adults with stable heart failure and insomnia: evidence from a randomised controlled trial of cognitive behavioural therapy for insomnia

People with heart failure (HF) experience a high symptom burden and prevalent insomnia. However, little is known about daytime symptom trajectories after cognitive behavioural therapy for insomnia (CBT-I). In this study we describe: (1) daytime symptom trajectories among adults with insomnia and stable HF over 1 year, (2) how symptom trajectories differ between CBT-I versus HF self-management interventions, and (3) associations between demographic, clinical, and sleep characteristics, perceived stress, health-related quality of life (HRQoL), functional performance and daytime symptoms trajectories. We retrospectively analysed data from a randomised controlled trial of CBT-I versus HF self-management (NCT0266038). We measured sleep, perceived stress, HRQoL, and functional performance at baseline and symptoms at baseline, 3, 6, and 12 months. We conducted group-based trajectory modelling, analysis of variance, chi-square, and proportional odds models. Among 175 participants (mean [standard deviation] age 63.0 [12.9] years, 57.1% male, 76% White), we found four daytime symptom trajectories: (A) low improving symptoms (38.3%); (B) low psychological symptoms and high improving physical symptoms (22.8%); (C) high improving symptoms (24.0%); and (D) high not improving symptoms (14.9%). The CBT-I versus the HF self-management group had higher odds of belonging to Group A compared to other trajectories after controlling for baseline fatigue (odds ratio = 3.27, 95% confidence interval 1.39-7.68). The difference between the CBT-I and the HF self-management group was not statistically significant after controlling for baseline characteristics. Group D had the highest body mass index, perceived stress, and insomnia severity and the lowest cognitive ability, HRQoL, and functional performance. Research is needed to further evaluate factors contributing to symptom trajectories.

Race- and Ethnicity-Related Differences in Heart Failure With Preserved Ejection Fraction Using Natural Language Processing

Background

Heart failure with preserved ejection fraction (HFpEF) is the predominant form of HF in older adults. It represents a heterogenous clinical syndrome that is less well understood across different ethnicities.

Objectives

This study aimed to compare the clinical presentation and assess the diagnostic performance of existing HFpEF diagnostic tools between ethnic groups.

Methods

A validated Natural Language Processing (NLP) algorithm was applied to the electronic health records of a large London hospital to identify patients meeting the European Society of Cardiology criteria for a diagnosis of HFpEF. NLP extracted patient demographics (including self-reported ethnicity and socioeconomic status), comorbidities, investigation results (N-terminal pro-B-type natriuretic peptide, H2FPEF scores, and echocardiogram reports), and mortality. Analyses were stratified by ethnicity and adjusted for socioeconomic status.

Results

Our cohort consisted of 1,261 (64%) White, 578 (29%) Black, and 134 (7%) Asian patients meeting the European Society of Cardiology HFpEF diagnostic criteria. Compared to White patients, Black patients were younger at diagnosis and more likely to have metabolic comorbidities (obesity, diabetes, and hypertension) but less likely to have atrial fibrillation (30% vs 13%; P < 0.001). Black patients had lower N-terminal pro-B-type natriuretic peptide levels and a lower frequency of H2FPEF scores ≥6, indicative of likely HFpEF (26% vs 44%; P < 0.0001).

Conclusions

Leveraging an NLP-based artificial intelligence approach to quantify health inequities in HFpEF diagnosis, we discovered that established markers systematically underdiagnose HFpEF in Black patients, possibly due to differences in the underlying comorbidity patterns. Clinicians should be aware of these limitations and its implications for treatment and trial recruitment.

Neonatal heart transplantation in the United States: Trends and outcomes

BACKGROUND

Heart transplantation in the neonatal period is associated with excellent survival. However, outcomes data are scant and have been obtained primarily from two single-center reports within the United States. We sought to analyze the outcomes of all neonatal heart transplants performed in the United States using the United Network for Organ Sharing (UNOS) dataset.

METHODS

The UNOS dataset was queried for patients who underwent infant heart transplantation from 1987 to 2021. Patients were divided into two groups based on age - neonates (<=31 days), and older infants (32 days-365 days). Demographic and clinical characteristics were analyzed and compared, along with follow up survival data.

RESULTS

Overall, 474 newborns have undergone heart transplantation in the United States since 1987. Freedom from death or re-transplantation for neonates was 63.5%, 58.8% and 51.6% at 5, 10, and 20 years, respectively. Patients in the newborn group had lower unadjusted survival compared to older infants (p < .001), but conditional 1-year survival was higher in neonates (p = .03). On multivariable analysis, there was no significant difference in survival between the two age groups (p = .43). Black race, congenital heart disease diagnosis, earlier surgical era, and preoperative mechanical circulatory support use were associated with lower survival among infant transplants (p < .05).

CONCLUSIONS

Neonatal heart transplantation is associated with favorable long-term clinical outcomes. Neonates do not have a significant survival advantage over older infants. Widespread applicability is limited by the small number of available donors. Efforts to expand the donor pool to include non-standard donor populations ought to be considered.

Teaching an old drug new tricks: Regulatory insights for the repurposing of hemin in cardiovascular disease

Drug repurposing has gained significant interest in recent years due to the high costs associated with de novo drug development; however, comprehensive pharmacological information is needed for the translation of pre-existing drugs across clinical applications. In the present study, we explore the current pharmacological understanding of the orphan drug, hemin, and identify remaining knowledge gaps with regard to hemin repurposing for the treatment of cardiovascular disease. Originally approved by the United States Food and Drug Administration in 1983 for the treatment of porphyria, hemin has attracted significant interest for therapeutic repurposing across a variety of pathophysiological conditions. Yet, the clinical translation of hemin remains limited to porphyria. Understanding hemin's pharmacological profile in health and disease strengthens our ability to treat patients effectively, identify therapeutic opportunities or limitations, and predict and prevent adverse side effects. However, requirements for the pre-clinical and clinical characterization of biologics approved under the U.S. FDA's Orphan Drug Act in 1983 (such as hemin) differed significantly from current standards, presenting fundamental gaps in our collective understanding of hemin pharmacology as well as knowledge barriers to clinical translation for future applications. Using information extracted from the primary and regulatory literature (including documents submitted to Health Canada in support of hemin's approval for the Canadian market in 2018), we present a comprehensive case study of current knowledge related to hemin's biopharmaceutical properties, pre-clinical/clinical pharmacokinetics, pharmacodynamics, dosing, and safety, focusing specifically on the drug's effects on heme regulation and in the context of acute myocardial infarction.

Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction

OBJECTIVES

Heart failure (HF) impacts millions of patients worldwide, yet the variability in treatment responses remains a major challenge for healthcare professionals. The current treatment strategies, largely derived from population based evidence, often fail to consider the unique characteristics of individual patients, resulting in suboptimal outcomes. This study aims to develop computational models that are patient-specific in predicting treatment outcomes, by utilizing a large Electronic Health Records (EHR) database. The goal is to improve drug response predictions by identifying specific HF patient subgroups that are likely to benefit from existing HF medications.

MATERIALS AND METHODS

A novel, graph-based model capable of predicting treatment responses, combining Graph Neural Network and Transformer was developed. This method differs from conventional approaches by transforming a patient's EHR data into a graph structure. By defining patient subgroups based on this representation via K-Means Clustering, we were able to enhance the performance of drug response predictions.

RESULTS

Leveraging EHR data from 11 627 Mayo Clinic HF patients, our model significantly outperformed traditional models in predicting drug response using NT-proBNP as a HF biomarker across five medication categories (best RMSE of 0.0043). Four distinct patient subgroups were identified with differential characteristics and outcomes, demonstrating superior predictive capabilities over existing HF subtypes (best mean RMSE of 0.0032).

DISCUSSION

These results highlight the power of graph-based modeling of EHR in improving HF treatment strategies. The stratification of patients sheds light on particular patient segments that could benefit more significantly from tailored response predictions.

CONCLUSIONS

Longitudinal EHR data have the potential to enhance personalized prognostic predictions through the application of graph-based AI techniques.

Identification of diagnostic biomarkers used in the diagnosis of cardiovascular diseases and diabetes mellitus: A systematic review of quantitative studies

AIMS

To perform a systematic review of studies that sought to identify diagnostic biomarkers for the diagnosis of cardiovascular diseases (CVDs) and diabetes mellitus (DM), which could be used in low- and middle-income countries (LMICs) where there is a lack of diagnostic equipment, treatments and training.

MATERIALS AND METHODS

Papers were sourced from six databases: the British Nursing Index, Google Scholar, PubMed, Sage, Science Direct and Scopus. Articles published between January 2002 and January 2023 were systematically reviewed by three reviewers and appropriate search terms and inclusion/exclusion criteria were applied.

RESULTS

A total of 18 studies were yielded, as well as 234 diagnostic biomarkers (74 for CVD and 160 for DM). Primary biomarkers for the diagnosis of CVDs included growth differentiation factor 15 and neurogenic locus notch homologue protein 1 (Notch1). For the diagnosis of DM, alpha-2-macroglobulin, C-peptides, isoleucine, glucose, tyrosine, linoleic acid and valine were frequently reported across the included studies. Advanced analytical techniques, such as liquid chromatography mass spectrometry, enzyme-linked immunosorbent assays and vibrational spectroscopy, were also repeatedly reported in the included studies and were utilized in combination with traditional and alternative matrices such as fingernails, hair and saliva.

CONCLUSIONS

While advanced analytical techniques are expensive, laboratories in LMICs should carry out a cost-benefit analysis of their use. Alternatively, laboratories may want to explore emerging techniques such as infrared, Fourier transform-infrared and near-infrared spectroscopy, which allow sensitive noninvasive analysis.

Prognostic value of extraaortic-valvular cardiac damage in patients with moderate aortic stenosis and reduced left ventricular ejection fraction

PURPOSE

The extraaortic-valvular cardiac damage (EVCD) Stage has shown potential for risk stratification for patients with aortic stenosis (AS). This study aimed to examine the usefulness of the EVCD Stage in risk stratification of patients with moderate AS and reduced left ventricular ejection fraction (LVEF).

METHODS

Clinical data from patients with moderate AS (aortic valve area, .60-.85 cm2/m2; peak aortic valve velocity, 2.0-4.0 m/s) and reduced LVEF (LVEF 20%-50%) were analyzed during 2010-2019. Patients were categorized into three groups: EVCD Stages 1 (LV damage), 2 (left atrium and/or mitral valve damage), and 3/4 (pulmonary artery vasculature and/or tricuspid valve damage or right ventricular damage). The primary endpoint included a composite of cardiac death and heart failure hospitalization, with non-cardiac death as a competing risk.

RESULTS

The study included 130 patients (mean age 76.4 ± 6.8 years; 62.3% men). They were categorized into three groups: 26 (20.0%) in EVCD Stage 1, 66 (50.8%) in Stage 2, and 48 (29.2%) in Stage 3/4. The endpoint occurred in 54 (41.5%) patients during a median follow-up of 3.2 years (interquartile range, 1.4-5.1). Multivariate analysis indicated EVCD Stage 3/4 was significantly associated with the endpoint (hazard ratio 2.784; 95% confidence interval 1.197-6.476; P = .017) compared to Stage 1, while Stage 2 did not (hazard ratio 1.340; 95% confidence interval .577-3.115; P = .500).

CONCLUSION

The EVCD staging system may aid in the risk stratification of patients with moderate AS and reduced LVEF.

Comparison of Colchicine Monotherapy Versus Nonsteroidal Anti-Inflammatory Drugs Monotherapy or Combination Therapy for the Prevention of Recurrent Pericarditis in Patients With Heart Failure With Reduced Ejection Fraction and/or Coronary Artery Disease

Objective: Guidelines recommend nonsteroidal anti-inflammatory drugs (NSAIDs) or aspirin for 2-4 weeks with colchicine for 3 months for the treatment of acute pericarditis. In patients with HFrEF and/or CAD, the adverse effect profile of NSAIDs pose concern. While previous studies evaluated colchicine as adjunctive therapy, colchicine monotherapy has never been assessed. This study aims to compare the efficacy of colchicine monotherapy to NSAID monotherapy or combination therapy for the prevention of recurrent pericarditis in patients with HFrEF and/or CAD. Methods: This was a single health-system, retrospective, observational cohort study. Patients were 18 years or older, had a diagnosis of acute pericarditis and HFrEF and/or CAD, and were discharged on colchicine and/or NSAID therapy. Patients were excluded if they had an episode of pericarditis within the previous 12 months. The primary outcome was the incidence of pericarditis recurrence or documentation of incessant symptoms within 12 months of the index hospitalization. Results: Of the 77 patients included, 43 (55.8%) were treated with colchicine monotherapy, 7 (9.1%) were treated with NSAID monotherapy, and 27 (35.1%) were treated with combination therapy. Pericarditis recurrence or documentation of incessant symptoms occurred in 16.3% of patients treated with colchicine monotherapy, 28.6% of those treated with NSAID monotherapy, and 18.5% of those treated with combination therapy (P = .740). Conclusion: In this study, no difference in the primary outcome was observed between groups. However, a prospective, randomized trial is needed to further elucidate the efficacy of colchicine monotherapy for the treatment of acute pericarditis in patients with HFrEF and/or CAD.

Right-Left Ventricular Interdependence in Repaired Tetralogy of Fallot Patients With Right Ventricular Heart Failure

BACKGROUND

Patients with repaired tetralogy of Fallot (rTOF) continue to face a heightened risk of deteriorating cardiac function, and quantitative techniques of cardiac MRI-derived cardiac structure and function provide an opportunity to explore the causes and mechanisms of cardiac deterioration.

PURPOSE

To explore right-left ventricular interdependence in rTOF patients before and after the onset of right ventricular (RV) heart failure.

STUDY TYPE

Retrospective.

POPULATION

One hundred eighteen rTOF patients (21.85 [16.74, 29.20] years, 58 females) and 34 controls (23.5 [21, 26.5] years, 17 females) that underwent cardiac MRI were analyzed, with rTOF patients being further subdivided into those with preserved RV function (N = 54) and those that experienced RV heart failure (N = 64).

FIELD STRENGTH/SEQUENCE

3.0 T/balanced steady-state free precession sequence.

ASSESSMENT

RV, left ventricular (LV), and septal strain; RV and LV volume.

STATISTICAL TESTS

Chi-squared tests or Fisher's exact test, One-way ANOVAs with Bonferroni's post hoc test, Pearson/Spearman correlation, and multivariate backward linear regression analysis. A two-tailed P < 0.05 was deemed as the significance threshold.

RESULTS

The MRI-derived RV, LV, and septal strain decreased sequentially in controls, patients with preserved RV function, and patients with RV heart failure, with a good intra-observer (0.909-0.964) and inter-observer (0.879-0.937) agreement. Correlations between LV and RV strain were found to change sequentially with RV function and were the closest in rTOF patients with RV heart failure (r = -0.270 to 0.506). Correlations between RV volume and septal strain was variable in controls (r = 0.483 to -0.604), patients with preserved RV function (r = -0.034 to -0.295), and patients with RV heart failure (r = -0.026 to 0.500). Multivariate analyses revealed that the RV longitudinal strain was independently correlated with LV strain in three directions in rTOF patients with RV heart failure (Radial -0.70 [-1.33, -0.06]; Circumferential 0.44 [0.17, 0.72]; Longitudinal 0.54 [0.26, 0.81]).

DATA CONCLUSION

In rTOF patients, the coupling between RV volume and septal strain was broken during RV function compensation, and the adverse effect of RV on LV deformation was highest in patients with RV heart failure.

EVIDENCE LEVEL

4 TECHNICAL EFFICACY: Stage 5.

Utilizing synchronous care to improve cardiovascular and renal health among patients with type 2 diabetes: Proof-of-concept results from the DECIDE-CV clinical programme

AIM

The management of patients with type 2 diabetes is asynchronous, i.e. not coordinated in time, resulting in delayed access to care and low use of guideline-directed medical therapy (GDMT).

METHODS

We retrospectively analysed consecutive patients assessed in the 'synchronized' DECIDE-CV clinic. In this outpatient clinic, patients with type 2 diabetes and cardiovascular or chronic kidney disease are simultaneously assessed by an endocrinologist, cardiologist and nephrologist in the same visit. The primary outcome was use of GDMT before and after the assessment in the clinic, including sodium-glucose cotransporter 2 inhibitors, glucagon-like peptide 1 receptor agonists, renin-angiotensin system blockers and mineralocorticoid receptor antagonists. Secondary outcomes included the baseline-to-last-visit change in surrogate laboratory biomarkers.

RESULTS

The first 232 patients evaluated in the clinic were included. The mean age was 67 ± 12 years, 69% were men and 92% had diabetes. In total, 73% of patients had atherosclerotic cardiovascular disease, 65% heart failure, 56% chronic kidney disease and 59% had a urinary albumin-to-creatinine ratio ≥30 mg/g. There was a significant increase in the use of GDMT:sodium-glucose cotransporter 2 inhibitors (from 44% to 87% of patients), glucagon-like peptide 1 receptor agonists (from 8% to 45%), renin-angiotensin system blockers (from 77% to 91%) and mineralocorticoid receptor antagonists (from 25% to 45%) (p < .01 for all). Among patients with paired laboratory data, glycated haemoglobin, urinary albumin-to-creatinine ratio and N-terminal proB-type natriuretic peptide levels significantly dropped from baseline (p < .05 for all).

CONCLUSIONS

Joint assessment of patients with diabetes in a synchronized cardiometabolic clinic holds promise for enhancing GDMT use and has led to significant reductions in surrogate cardiovascular and renal laboratory biomarkers.