Cardiac sarcoidosis outcome differences: A comparison of patients with de novo cardiac versus known extracardiac sarcoidosis at presentation.

BACKGROUND: Sarcoidosis is a systemic disease characterized by granulomatous inflammation. Cardiac involvement is associated with increased morbidity. However, differences in clinical characteristics and outcomes based on initial sarcoidosis organ manifestation in patients with cardiac sarcoidosis (CS) have not been described. METHODS: A retrospective cohort of 252 patients with CS at an urban, quaternary medical center was studied. Presentation, treatment and outcomes of de novo CS and prior ECS groups were compared. Survival free of primary composite outcome (left ventricular assist device implantation, orthotopic heart transplantation (OHT), or death) was assessed. RESULTS: There were 124 de novo CS patients and 128 with prior ECS at time of CS diagnosis. De novo CS patients were younger at CS diagnosis (p = 0.020). De novo CS patients had a more advanced cardiac presentation: lower left ventricular ejection fraction (LVEF) (p < 0.001), more frequent sustained ventricular arrhythmias (VA) (p = 0.001), and complete heart block (p = 0.001). During follow-up, new VA (p < 0.001), ventricular tachycardia ablation (p < 0.001), and OHT (p = 0.003) were more common in the de novo CS group. Outcome free survival was significantly shorter for de novo CS patients (p = 0.005), with increased hazard of primary composite outcome (p = 0.034) and development of new VA (p = 0.027) when compared to ECS patients. Overall mortality was similar between groups. CONCLUSION: Patients presenting with CS as their first recognized organ manifestation of sarcoidosis have an increased risk of adverse cardiac outcomes as compared to those with a prior history of ECS. Improved awareness and diagnosis of CS is warranted for earlier recognition.

Heart transplantation outcomes in arrhythmogenic right ventricular cardiomyopathy: a contemporary national analysis.

AIMS: Heart failure is an increasingly recognized later stage manifestation of arrhythmogenic right ventricular cardiomyopathy (ARVC) that can require heart transplantation (HT) to appropriately treat. We aimed to study contemporary ARVC HT outcomes in a national registry. METHODS AND RESULTS: The United Network for Organ Sharing registry was queried for HT recipients from 1/1994 through 2/2020. ARVC patients were compared with non-ARVC dilated, restrictive, and hypertrophic cardiomyopathy HT patients (HT for ischaemic and valvular disease was excluded from analysis). Post-HT survival was assessed using Kaplan-Meier estimates. A total of 189 of 252 (75%) waitlisted ARVC patients (median age 48 years, 65% male) underwent HT, representing 0.3% of the total 65 559 HT during the study time period. Annual frequency of HT for ARVC increased significantly over time. ARVC patients had less diabetes (5% vs. 17%, P < 0.001), less cigarette use (15% vs. 23%, P < 0.001), lower pulmonary artery and pulmonary capillary wedge pressures, and lower cardiac output than the 33 659 non-ARVC patients (P < 0.001). Ventricular assist device use was significantly lower in ARVC patients (8% vs. 32%, P < 0.001); 1 and 5 year post-HT survival was 97% and 93% for ARVC vs. 95% and 82% for non-ARVC HT recipients (P < 0.001). On adjusted multivariable Cox regression, ARVC had decreased risk of post-HT death compared with non-ARVC aetiologies (hazard ratio 0.48, 95% confidence interval 0.28-0.82, P = 0.008). Patients with ARVC also had lower risk of death or graft failure than non-ARVC patients (hazard ratio 0.51, 95% confidence interval 0.32-0.81, P = 0.004). CONCLUSIONS: In the largest series of HT in ARVC, we found that HT is increasingly performed in ARVC, with higher survival compared with other cardiomyopathy aetiologies. The right ventricular predominant pathophysiology may require unique considerations for heart failure management, including HT.

Sarcoidosis-Related Cardiomyopathy: Current Knowledge, Challenges, and Future Perspectives State-of-the-Art Review.

The prevalence of sarcoidosis-related cardiomyopathy is increasing. Sarcoidosis impacts cardiac function through granulomatous infiltration of the heart, resulting in conduction disease, arrhythmia, and/or heart failure. The diagnosis of cardiac sarcoidosis (CS) can be challenging and requires clinician awareness as well as differentiation from overlapping diagnostic phenotypes, such as other forms of myocarditis and arrhythmogenic cardiomyopathy. Clinical manifestations, extracardiac involvement, histopathology, and advanced cardiac imaging can all lend support to a diagnosis of CS. The mainstay of therapy for CS is immunosuppression; however, no prospective clinical trials exist to guide management. Patients may progress to developing advanced heart failure or ventricular arrhythmia, for which ventricular assist device therapies or heart transplantation may be considered. The existing knowledge gaps in CS call for an interdisciplinary approach to both patient care and future investigation to improve mechanistic understanding and therapeutic strategies.

Clinical and Imaging Response to Tumor Necrosis Factor Alpha Inhibitors in Treatment of Cardiac Sarcoidosis: A Multicenter Experience.

BACKGROUND: Cardiac sarcoidosis (CS) is an increasingly recognized cause of cardiomyopathy; however, data on immunosuppressive strategies are limited. Treatment with tumor necrosis factor (TNF) alpha inhibitors is not well described; moreover, there may be heart failure-related safety concerns. METHODS: Retrospective multicenter study of patients with CS treated with TNF alpha inhibitors. Baseline characteristics, treatments, and outcomes were adjudicated. RESULTS: Thirty-eight patients with CS (mean age 49.9 years, 42% women, 53% African American) were treated with TNF alpha inhibitor (30 infliximab, 8 adalimumab). Prednisone dose decreased from time of TNF alpha inhibitor initiation (21.7 ± 17.5 mg) to 6 months (10.4 ± 6.1 mg, P = .001) and 12 months (7.3 ± 7.3 mg, P = .002) after treatment. On pre-TNF alpha inhibitor treatment positron emission tomography with 18-flourodoxyglucose (FDG-PET), 84% of patients had cardiac FDG uptake. After treatment, there was a significant decrease in number of segments involved (3.5 ± 3.8 to 1.0 ± 2.5, P = .008) and maximum standardized uptake value (3.59 ± 3.70 to 0.57 ± 1.60, P = .0005), with 73% of patients demonstrating complete resolution or improvement of cardiac FDG uptake. The left ventricular ejection fraction remained stable (45.0 ± 16.5% to 47.0 ± 15.0%, P = .10). Four patients required inpatient heart failure treatment, and 8 had infections; 2 required treatment cessation. CONCLUSIONS: TNF alpha inhibitor treatment guided by FDG-PET imaging may minimize corticosteroid use and effectively reduce cardiac inflammation without significant adverse effect on cardiac function. However, infections were common, some of which were serious, and therefore patients require close monitoring for both infection and cardiac symptoms.

Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents on a Molecular Pathway of Contraction in the Heart and Predicts Response to Therapy.

Over the last decades, beta-blockers have been a key component of heart failure therapy. However, currently there is no method to identify patients who will benefit from beta-blocking therapy versus those who will be unresponsive or worsen. Furthermore, there is an unmet need to better understand molecular mechanisms through which heart failure therapies, such as beta-blockers, improve cardiac function, in order to design novel targeted therapies. Solving these issues is an important step towards personalized medicine. Here, we present a comprehensive transcriptomic analysis of molecular pathways that are affected by beta-blocking agents and a transcriptomic biomarker to predict therapy response.

The variable natural history of idiopathic dilated cardiomyopathy.

BACKGROUND: Determining the prognosis of patients with heart failure is essential for patient management and clinical trial conduct. The relative value of traditional prognostic criteria remains unclear and the assessment of long-term prognosis for individual patients is problematic. OBJECTIVES: To determine the ability of clinical, hemodynamic and echocardiographic parameters to predict the long-term prognosis of patients with idiopathic dilated cardiomyopathy. METHODS: We investigated the ability of clinical, hemodynamic and echocardiographic parameters to predict the long-term prognosis of individual patients in a large, representative, contemporary cohort of idiopathic dilated cardiomyopathy (IDCM) patients referred to Johns Hopkins from 1997 to 2004 for evaluation of cardiomyopathy. In all patients a baseline history was taken, and physical examination, laboratory studies, echocardiogram, right heart catheterization and endomyocardial biopsy were performed. RESULTS: In 171 IDCM patients followed for a median 3.5 years, there were 50 long-term event-free survivors (LTS) (median survival 6.4 years) and 34 patients died or underwent ventricular assist device placement or transplantation within 5 years (NLTS; non-long-term survivors) (median time to event 1.83 years. Established risk factors (gender, race, presence of diabetes, serum creatinine, sodium) and the use of accepted heart failure medications (angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, beta blockers) were similar between the two groups. Although LTS had younger age, higher ejection fraction (EF) and lower New York Heart Association (NYHA) class at presentation, the positive predictive value of an EF < 25% was 64% (95% CI 41%-79%) and that of NYHA class > 2 was 53% (95% CI 36-69%). A logistic model incorporating these three variables incorrectly classified 29% of patients. CONCLUSIONS: IDCM exhibits a highly variable natural history and standard clinical predictors have limited ability to classify IDCM patients into broad prognostic categories. These findings suggest that there are important host-environmental factors still unappreciated in the biology of IDCM.

Transcriptomic biomarkers for the accurate diagnosis of myocarditis.

BACKGROUND: Lymphocytic myocarditis is a clinically important condition that is difficult to diagnose and distinguish. We hypothesized that the transcriptome obtained from an endomyocardial biopsy would yield clinically relevant and accurate molecular signatures. METHODS AND RESULTS: Microarray analysis was performed on samples from patients with histologically proven lymphocytic myocarditis (n=16) and idiopathic dilated cardiomyopathy (n=32) to develop accurate diagnostic transcriptome-based biomarkers using multiple classification algorithms. We identified 9878 differentially expressed genes in lymphocytic myocarditis versus idiopathic dilated cardiomyopathy (fold change >1.2; false discovery rate <5%) from which a transcriptome-based biomarker containing 62 genes was identified that distinguished myocarditis with 100% sensitivity (95% confidence interval, 46 to 100) and 100% specificity (95% confidence interval, 66 to 100) and was generalizable to a broad range of secondary cardiomyopathies associated with inflammation (n=27), ischemic cardiomyopathy (n=8), and the normal heart (n=11). Multiple classification algorithms and quantitative real-time reverse-transcription polymerase chain reaction analysis further reduced this subset to a highly robust molecular signature of 13 genes, which still performed with 100% accuracy. CONCLUSIONS: Together, these findings demonstrate that transcriptomic biomarkers from a single endomyocardial biopsy can improve the clinical detection of patients with inflammatory diseases of the heart. This approach advances the clinical management and treatment of cardiac disorders with highly variable outcome.

The gene expression profile of patients with new-onset heart failure reveals important gender-specific differences.

AIMS: We sought to test the hypothesis that inherent biological factors contribute to gender differences in disease pathophysiology of new-onset heart failure (HF), which can be detected from the transcriptome of a single endomyocardial biopsy (EMB). METHODS AND RESULTS: We analysed samples from male (n = 29) and female patients (n = 14) with idiopathic dilated cardiomyopathy (IDCM) and new-onset HF with U133 Plus 2.0 microarrays (Affymetrix) and significance analysis of microarrays (SAM). There were 35 overexpressed and 16 downregulated transcripts in men vs. women [q < 5%, fold change (FC) > 1.2]. In addition to overexpression of Y-chromosome-related transcripts (n = 18), such as USP9Y (FC > 13.1), DDX3Y (FC > 11.3), RPS4Y1 (FC > 9.9), and EIF1AY (FC > 11.8) in males, there was overexpression of CD24 (FC > 5.6) and KCNK1 (FC > 1.5). In females, XIST was highly overexpressed (FC > 28.9), together with X-linked zinc finger proteins (FC > 1.9) and autosomal genes GATAD1 (FC > 1.6), SLC2A12 (FC > 2.9), and PDE6B (FC > 1.5). Analysis of a public data set of end-stage IDCM (n = 15) resulted in approximately 85% overlap with our findings. CONCLUSION: This is the first study that identified gender-specific transcriptomic differences in new-onset HF. Our findings may offer novel insights into fundamental biological differences in the pathophysiology of HF between sexes and provide a platform for personalized medicine.

The change in B-type natriuretic peptide levels over time predicts significant rejection in cardiac transplant recipients.

BACKGROUND: B-type natriuretic peptide (BNP) correlates with cardiac filling pressures and outcomes in patients with heart failure. In heart transplant recipients, we hypothesize that a within-individual change in BNP over time would be more helpful than absolute BNP in detecting International Society of Heart and Lung Transplantation (ISHLT) grade 2R or greater rejection. METHODS: N-terminal pro-BNP (NT-proBNP) levels were measured in 146 consecutive transplant recipients undergoing routine endomyocardial biopsies. In the cross-sectional analysis, multiple observations per individual were accounted for using generalized estimation equations. RESULTS: A cross-sectional analysis demonstrated a weak association between NT-proBNP levels and rejection, with an odds ratio (OR) of 1.01 for every 100-pg/mL increase in NT-proBNP (p = 0.02). However, with a doubling of an individual's NT-proBNP level, the OR for significant rejection was 2.9 (95% confidence interval [CI] 1.2-7.0), the OR with a 5-fold increase was 9.1 (95% CI, 2.7-31.5), and the OR with a 10-fold increase was 27.7 (95% CI, 5.9-129). A 10-fold increase in NT-proBNP offered a negative predictive value of 95% for the diagnosis of rejection. The relationship between within-individual increases in NT-proBNP and rejection persisted after adjusting for a fall in ejection fraction and a rise pulmonary capillary wedge pressure, and was a stronger predictor than changes in these parameters. CONCLUSIONS: There is a strong, graded relationship between the within-individual increase in NT-proBNP and the odds of significant rejection independent of hemodynamic parameters. These results suggest that the change in NT-proBNP rather than absolute BNP levels may offer a non-invasive approach to detect rejection.

Transcriptomic biomarkers for individual risk assessment in new-onset heart failure.

BACKGROUND: Prediction of prognosis remains a major unmet need in new-onset heart failure (HF). Although several clinical tests are in use, none accurately distinguish between patients with poor versus excellent survival. We hypothesized that a transcriptomic signature, generated from a single endomyocardial biopsy, could serve as a novel prognostic biomarker in HF. METHODS AND RESULTS: Endomyocardial biopsy samples and clinical data were collected from all patients presenting with new-onset HF from 1997 to 2006. Among a total of 350 endomyocardial biopsy samples, 180 were identified as idiopathic dilated cardiomyopathy. Patients with phenotypic extremes in survival were selected: good prognosis (event-free survival for at least 5 years; n=25) and poor prognosis (events [death, requirement for left ventricular assist device, or cardiac transplant] within the first 2 years of presentation with HF symptoms; n=18). We used human U133 Plus 2.0 microarrays (Affymetrix) and analyzed the data with significance analysis of microarrays and prediction analysis of microarrays. We identified 46 overexpressed genes in patients with good versus poor prognosis, of which 45 genes were selected by prediction analysis of microarrays for prediction of prognosis in a train set (n=29) with subsequent validation in test sets (n=14 each). The biomarker performed with 74% sensitivity (95% CI 69% to 79%) and 90% specificity (95% CI 87% to 93%) after 50 random partitions. CONCLUSIONS: These findings suggest the potential of transcriptomic biomarkers to predict prognosis in patients with new-onset HF from a single endomyocardial biopsy sample. In addition, our findings offer potential novel therapeutic targets for HF and cardiomyopathy.