Adverse cardiac remodeling refers to progressive structural and functional modifications in the heart because of increased wall stress in the myocardium, loss of viable myocardium, and neurohormonal stimulation. The guideline-directed medical therapy for Heart failure (HF) includes Angiotensin receptor-neprilysin inhibitor (ARNI) (sacubitril/valsartan), β-blockers, sodium-glucose co-transporter 2 (SGLT2) inhibitors, and mineralocorticoid receptor antagonists (MRA). ARNI is under-prescribed in India despite its attractive safety and efficacy profile. Therefore, the consensus discusses objectives and topics related to ARNI in the management of cardiac remodeling, and experts shared their views on the early timely intervention of effective dosage of ARNI to improve the diagnosis and enhance mortality and morbidity benefits in cardiac reverse remodeling (CRR).

Extracellular volume fraction (ECV) by cardiac magnetic resonance (CMR) allows for the non-invasive quantification of diffuse myocardial fibrosis. Texture analysis and machine learning are now gathering attention in the medical field to exploit the ability of diagnostic imaging for various diseases. This study aimed to investigate the predictive value of texture analysis of ECV and machine learning for predicting response to guideline-directed medical therapy (GDMT) for patients with non-ischemic dilated cardiomyopathy (NIDCM). A total of one-hundred and fourteen NIDCM patients [age: 63 ± 12 years, 91 (81%) males] were retrospectively analyzed. We performed texture analysis of ECV mapping of LV myocardium using dedicated software. We calculated nine histogram-based features (mean, standard deviation, maximum, minimum, etc.) and five gray-level co-occurrence matrices. Five machine learning techniques and the fivefold cross-validation method were used to develop prediction models for LVRR by GDMT based on 14 texture parameters on ECV mapping. We defined the LVRR as follows: LVEF increased ≥ 10% points and decreased LVEDV ≥ 10% on echocardiography after GDMT > 12 months. Fifty (44%) patients were classified as non-responders. The area under the receiver operating characteristics curve for predicting non-responder was 0.82 for eXtreme Gradient Boosting, 0.85 for support vector machine, 0.76 for multi-layer perception, 0.81 for Naïve Bayes, 0.77 for logistic regression, respectively. Mean ECV value was the most critical factor among texture features for differentiating NIDCM patients with LVRR and those without (0.28 ± 0.03 vs. 0.36 ± 0.06, p < 0.001). Machine learning analysis using the support vector machine may be helpful in detecting high-risk NIDCM patients resistant to GDMT. Mean ECV is the most crucial feature among texture features.

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Background Transcriptomic studies have contributed to fundamental knowledge of myocardial remodeling in human heart failure (HF). However, the key HF genes reported are often inconsistent between studies, and systematic efforts to integrate evidence from multiple patient cohorts are lacking. Here, we aimed to provide a framework for comprehensive comparison and analysis of publicly available data sets resulting in an unbiased consensus transcriptional signature of human end-stage HF. Methods and Results We curated and uniformly processed 16 public transcriptomic studies of left ventricular samples from 263 healthy and 653 failing human hearts. First, we evaluated the degree of consistency between studies by using linear classifiers and overrepresentation analysis. Then, we meta-analyzed the deregulation of 14 041 genes to extract a consensus signature of HF. Finally, to functionally characterize this signature, we estimated the activities of 343 transcription factors, 14 signaling pathways, and 182 micro RNAs, as well as the enrichment of 5998 biological processes. Machine learning approaches revealed conserved disease patterns across all studies independent of technical differences. These consistent molecular changes were prioritized with a meta-analysis, functionally characterized and validated on external data. We provide all results in a free public resource (https://saezlab.shinyapps.io/reheat/) and exemplified usage by deciphering fetal gene reprogramming and tracing the potential myocardial origin of the plasma proteome markers in patients with HF. Conclusions Even though technical and sampling variability confound the identification of differentially expressed genes in individual studies, we demonstrated that coordinated molecular responses during end-stage HF are conserved. The presented resource is crucial to complement findings in independent studies and decipher fundamental changes in failing myocardium.

The prognosis of patients with idiopathic dilated cardiomyopathy (DCM) has improved remarkably in recent decades with guideline-directed medical therapy. Left ventricular (LV) reverse remodeling (LVRR) is one of the major therapeutic goals. Whether myocardial fibrosis or inflammation would reverse associated with LVRR remains unknown.
A total of 157 prospectively enrolled patients with DCM underwent baseline and follow-up cardiovascular magnetic resonance examinations with a median interval of 13.7 months (interquartile range, 12.2-18.5 months). LVRR was defined as an absolute increase in LV ejection fraction of >10% to the final value of ≥35% and a relative decrease in LV end-diastolic volume of >10%. Statistical analyses were performed using paired t test and student t test, logistic regression analysis, and linear regression analysis.
Forty-eight (31%) patients reached LVRR. At baseline, younger age, worse New York Heart Association class, new-onset heart failure, lower LV ejection fraction, absence of late gadolinium enhancement, lower myocardial T2, and extracellular volume were significant predictors of LVRR. During the follow-up, patients with and without LVRR both showed a significant decrease of myocardial native T1 (LVRR: [baseline] 1303.0±43.6 ms; [follow-up] 1244.7±51.8 ms; without LVRR: [baseline] 1308.5±80.5 ms; [follow-up] 1287.6±74.9 ms, both P<0.001), matrix and cellular volumes while no significant difference was observed in T2 or extracellular volume values after treatment.
In patients with idiopathic DCM, the absence of late gadolinium enhancement, lower T2, and extracellular volume values at baseline are significant predictors of LVRR. The myocardial T1, matrix, and cell volume decrease significantly in patients with LVRR after guideline-directed medical therapy. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: ChiCTR1800017058.

Cardiac injury may have multiple causes, including ischaemic, non-ischaemic, autoimmune, and infectious triggers. Independent of the underlying pathophysiology, cardiac tissue damage induces an inflammatory response to initiate repair processes. Immune cells are recruited to the heart to remove dead cardiomyocytes, which is essential for cardiac healing. Insufficient clearance of dying cardiomyocytes after myocardial infarction (MI) has been shown to promote unfavourable cardiac remodelling, which may result in heart failure (HF). Although immune cells are integral key players of cardiac healing, an unbalanced or unresolved immune reaction aggravates tissue damage that triggers maladaptive remodelling and HF. Neutrophils and macrophages are involved in both, inflammatory as well as reparative processes. Stimulating the resolution of cardiac inflammation seems to be an attractive therapeutic strategy to prevent adverse remodelling. Along with numerous experimental studies, the promising outcomes from recent clinical trials testing canakinumab or colchicine in patients with MI are boosting the interest in novel therapies targeting inflammation in cardiovascular disease patients. The aim of this review is to discuss recent experimental studies that provide new insights into the signalling pathways and local regulators within the cardiac microenvironment promoting the resolution of inflammation and tissue regeneration. We will cover ischaemia- and non-ischaemic-induced as well as infection-related cardiac remodelling and address potential targets to prevent adverse cardiac remodelling.

Both surgical and percutaneous mitral repair remain contraindicated in patients with severe degenerative mitral regurgitation (DMR) with severe left ventricular (LV) dysfunction because of inadequate LV reserve and increased LV work with a competent mitral valve. We report a 55-year-old gentleman who presented in cardiogenic shock with missed severe DMR and severe LV dysfunction, in whom we performed a high-risk mitral repair and insertion of a prophylactic CentriMag LV assist device. This innovative approach was found to be successful with significant patient improvement in both LV function and clinical symptoms with a competent mitral valve.

The aim of this study was to compare the impact of the European Society of Hypertension Guidelines 2016 (ESHG2016) and the American Academy of Pediatrics Guidelines 2017 (AAPG2017) on the screening of hypertension and classification of abnormal left ventricular geometry (ALVG) in overweight/obese youth.
This study included 6137 overweight/obese youth; 437 had echocardiographic assessment. Hypertension was defined using either ESHG2016 or AAPG2017. ALVG was defined using 95th percentile for age and sex of left ventricular mass index (LVMi) and/or relative wall thickness (RWT) more than 0.38 (juvenile cut-offs) according to ESHG2016 or LVMi more than 51 g/h and/or RWT more than 0.42 (adult cut-offs) according to AAPG2017.
Prevalence of youth at a high risk of hypertension was 13% higher using AAPG2017 than ESHG2016. The increase was larger in overweight youth at least 13 years of age (+43%). Using the juvenile cut-offs for ALVG, youth at a high risk of hypertension by ESHG2016 had an odds ratio [95% confidence interval (95% CI)] of 3.03 (1.31-7.05) for left ventricular concentric remodelling (LVcr) and 2.53 (1.43-4.47) for concentric left ventricular hypertrophy (cLVH) as compared with youth with normal LVG. Similarly, in youth at a high risk of hypertension by AAPG2017, the odds ratio for LVcr was 3.28 (1.45-7.41, P < 0.001) and 3.02 (95% CI: 1.73-5.27, P < 0.001) for cLVH. Using the adult cut-offs, no significant difference in ALVG was found with both guidelines.
The prevalence of overweight/obese youth at a high risk of hypertension increased by 13% comparing AAPG2017 vs. ESHG2016. The juvenile cut-offs for ALVG were more effective than the adult criteria in intercepting individuals with a potentially higher cardiovascular risk.

The prevalence of the left ventricular hypertrophy (LVH) is very high in end-stage renal disease treated by hemodialysis. Diastolic dysfunction is a frequent consequence and leads to the development of heart failure with preserved ejection fraction. New American/European echocardiographic guidelines for the assessment of diastolic function simplified the evaluation and were published recently. The aim of this study was to reveal if the new guidelines stratify asymptomatic hemodialysis patients by the levels of brain-natriuretic peptide (BNP). A cohort of 46 patients hemodialyzed in one center with the lack of overt heart failure, systolic dysfunction, arrhythmia or significant valvular disease were examined by echocardiography before and after a single hemodialysis and blood samples for BNP analysis were drawn at both occasions. The LVH was present in 53% of patients, concentric remodeling in another 17%. Higher indexed left ventricular mass was related to higher BNP levels (r = 0.58, p = 0.0001). Before hemodialysis, diastolic dysfunction was present in 61%: grade 1 in 25%, grade 2 in 21% and grade 3 in 8%. The higher grade of diastolic dysfunction was associated with the incremental increase of BNP. The post-dialysis echocardiography did not allow the assessment of diastolic function in as many as 37% of patients. Our study has shown that the application of the current guidelines for the assessment of diastolic function based on simple four criteria differentiate hemodialysis symptomless patients with preserved systolic function according to BNP levels. BNP levels also rose together with the left ventricular mass. The ratio E/e\' medial seemed to be a better predictor of increased BNP than E/e\' lateral or E/e\' averaged.