Left ventricular reverse remodeling is not related to biopsy-detected extracellular matrix fibrosis and serum markers of fibrosis in dilated cardiomyopathy, regardless of the definition used for LVRR.

Left ventricular reverse remodeling (LVRR) is reported in dilated cardiomyopathy (DCM) patients (pts). However, numerous definitions of LVRR exist. Measurements of serum markers of fibrosis provide insight into myocardial fibrosis. The relationship between LVRR and fibrosis is poorly understood. From July 2014 until October 2015, we included 63 consecutive DCM pts (48 ± 12.1 years, EF 24.4 ± 7.4%) with completed baseline and 3-month follow-up echocardiograms. LVRR was assessed on the basis of four differing definitions. Procollagens type I and III carboxy- and amino-terminal peptides (PICP, PINP, PIIICP, and PIIINP), collagen 1, ostepontin, tumor growth factor beta-1, connective tissue growth factor, and matrix metalloproteinases (MMP-2, MMP-9), and their tissue inhibitor (TIMP-1) were measured in serum. In addition, all pts underwent right ventricular endomyocardial biopsy. Depending on the definition chosen, LVRR could be diagnosed in between 14.3 and 50.8% pts. Regardless of the LVRR definition used, the frequency of LVRR was similar in fibrosis negative and positive DCM. Minor differences of markers of fibrosis were detected between pts with and without LVRR. For every LVRR definition, adjusted and unadjusted models were constructed to evaluate the predictive value of serum fibrosis parameters. Only an increase of TIMP-1 by 1 ng/ml was found to independently increase the probability of LVRR by 0.016%. The choice of a particular definition of LVRR determines the final diagnosis, and this has a profound impact on subsequent management. LVRR is unrelated to biopsy-detected ECM fibrosis. Serum markers of fibrosis are only weakly related to LVRR, and are not of use in the prediction of LVRR.

Comparison of two European models estimating risk of -sudden cardiac death in hypertrophic cardiomyopathy.

Objective Hypertrophic cardiomyopathy (HCM) is associated with a risk of sudden cardiac death (SCD). Several models have been developed to estimate SCD risk and guide preventive therapy. The comparison of the previous 2003 with novel 2014 SCD risk models have never been studied. Methods Over a year we included 103 consecutive HCM patients without previous cardiac arrest and/or ICD implanted (65% males; aged 53.3 ± 13.9 years; mean EF 62.3 ± 18%). The SCD risk was calculated for each patient. Results Based on the 2003 model, patients had following scores: 0 points -15 (15%) patients, 1-28 (27%), 2-34 (33%), 3-18 (17%), ≥ 4-8 (8%). According to the 2014 model 83 (80%) had low risk, 12 (12%) intermediate risk, and only 8 (8%) high risk. Patients who had an intermediate or high risk in the 2003 model but a low risk in 2014 model were the oldest, experienced less frequently syncope and nsVT, but had more often abnormal blood pressure response to exercise and an intermediate LVOT gradient in comparison to the patients who had consistently low or high risk in both models. Conclusions Calculation of SCD risk using two models provides completely different risk estimates and consequently different guidance on SCD primary prevention. According to the 2003 model up to 85% of patients have indications for ICD, whereas based on the 2014 risk model only 20% of the patients had non-negligible SCD risk and are candidates for ICD therapy. SCD risk markers, used in the 2003 and 2014 models, have various discriminating power.

Fibrosis of extracellular matrix is related to the duration of the disease but is unrelated to the dynamics of collagen metabolism in dilated cardiomyopathy.

BACKGROUND: Fibrosis of extracellular matrix (ECM) in dilated cardiomyopathy (DCM) corresponds to the myocardial over-production of various types of collagens. However, mechanism of this process is poorly understood. OBJECTIVE: To investigate whether enhanced metabolism of ECM occur in DCM. METHODS: Seventy consecutive DCM patients (pts) (48 ± 12.1 years, EF 24.4 ± 7.4 %) and 20 healthy volunteers were studied. Based on symptoms duration, pts were divided into new-onset (n = 35, 6 months) and chronic DCM (n = 35, >6 months). Markers of collagen type I and III synthesis-procollagen type I carboxy- and amino-terminal peptides (PICP and PINP) and procollagen type III carboxy- and amino-terminal peptides (PIIICP and PIIINP), collagen 1 (col-1), ECM metabolism controlling factors-tumor growth factor beta-1 (TGF1-ß), connective tissue growth factor (CTGF), and ECM degradation enzymes-matrix metalloproteinases (MMP-2, MMP-9) and their tissue inhibitor (TIMP-1) were measured in serum. All pts underwent right ventricular endomyocardial biopsy to study ECM fibrosis. RESULTS: The presence of fibrosis was detected in 24 (34.3 %) pts and was more prevalent in chronic DCM [17 (48.6 %) vs. 7 (20 %), p < 0.01]. The levels of PIIINP [4.41 (2.17-6.08) vs. 3.32 (1.69-5.02) ng/ml, p < 0.001], CTGF [3.82 (0.48-23.87) vs. 2.37 (0.51-25.32) ng/ml, p < 0.01], MMP-2 [6.06 (2.72-14.8) vs. 4.43 (2.27-7.4) ng/ml, p < 0.001], MMP-9 [1.98 (0.28-9.25) vs. 1.01 (0.29-3.59) ng/ml, p < 0.002)], and TIMP-1 [15.29 (1.8-36.17) vs. 2.61 (1.65-24.09) ng/ml, p < 0.004] were significantly higher in DCM, whereas levels of col-1 [57.7 (23.1-233.4) vs. 159.4 (31.2-512.9) pg/ml, p < 0.001] were significantly lower in DCM compared to controls. There were no differences in all measured serum markers of ECM metabolism between newonset and chronic DCM and as well as fibrosis positive and negative pts. Fibrosis was weakly correlated only with the duration of DCM (r = 0.23, p < 0.05), however, not a single serum marker of fibrosis correlated with fibrosis. Neither unadjusted nor adjusted models, constructed from serum markers of ECM metabolism, predicted the probability of myocardial fibrosis. CONCLUSIONS: Dynamics of ECM turnover in DCM is high, which is reflected by the increased levels CTGF and degradation enzymes. Synthesis of collagen type III prevailed over collagen type I. ECM metabolism was not different in DCM regardless of the duration of the disease and status of myocardial fibrosis. Serum markers of ECM metabolism were found not to be useful for the prediction of myocardial fibrosis in DCM.

Relationships between circulating galectin-3, extracellular matrix fibrosis and outcomes in dilated cardiomyopathy.

BACKGROUND: Galectin-3 is an emerging biomarker in cardiovascular disease. Myocardial galectin-3 is involved in the pathology of cardiac fibrosis; however, the role of circulating galectin-3 is not yet established. OBJECTIVES: To assess the relationships between circulating galectin-3, fibrosis and outcomes in dilated cardiomyopathy (DCM). MATERIAL AND METHODS: We included 70 patients (age: 48 ±12.1 years, ejection fraction (EF) 24.4 ±7.4%) with new-onset DCM (n = 35, ≤6 months). Galectin-3 and procollagen type I and III (PICP, PINP, PIIICP, and PIIINP), transforming growth factor ß (TGF-ß), connective tissue growth factor (CTGF), osteopontin (OPN), matrix metalloproteinases (MMP-2 and -9), and tissue inhibitor (TIMP-1) were determined in serum at baseline and after 3 and 12 months. Patients underwent endomyocardial biopsy. The endpoint was a combination of death and urgent hospitalization at 12 months. RESULTS: Galectin-3 did not correlate with biopsy-determined fibrosis. Baseline galectin-3 correlated with OPN,, TIMP-1, PIIICP, and MMP-2. In new-onset DCM, galectin-3 levels at baseline were higher than at 3 and 12 months, whereas in chronic DCM there was no difference. Galectin-3 was a predictor of the endpoint (hazard ratio (HR) = 1.115; 95% confidence interval (95% CI) = 1.009-1.231; p < 0.05). The best cut-off value was 14.54 ng/mL (area under the curve (AUC) = 0.67). Patients with galectin-3 ≥14.54 ng/mL had an increased risk of events (HR = 2.569; 95% CI = 1.098-6.009; p < 0.05). CONCLUSIONS: Circulating galectin-3 is unrelated to fibrosis. Serial measurements of galectin-3 correlated with markers of fibrosis, including markers of collagen synthesis and OPN. Circulating galectin-3 was independently associated with cardiovascular (CV) outcomes in DCM.

Lack of Relationship between Fibrosis-Related Biomarkers and Cardiac Magnetic Resonance-Assessed Replacement and Interstitial Fibrosis in Dilated Cardiomyopathy.

The relationship between circulating fibrosis-related molecules and magnetic resonance-assessed cardiac fibrosis in dilated cardiomyopathy (DCM) is poorly understood. To compare circulating biomarkers between DCM patients with high and low fibrosis burdens, we performed a prospective, single-center, observational study. The study population was composed of 100 DCM patients (87 male, mean age 45.2 ± 11.8 years, mean ejection fraction 29.7% ± 10.1%). Replacement fibrosis was quantified by means of late gadolinium enhancement (LGE), whereas interstitial fibrosis was assessed via extracellular volume (ECV). Plasma concentrations of cardiotrophin-1, growth differentiation factor-15, platelet-derived growth factor, procollagen I C-terminal propeptide, procollagen III N-terminal propeptide, and C-terminal telopeptide of type I collagen were measured. There were 44% patients with LGE and the median ECV was 27.7%. None of analyzed fibrosis serum biomarkers were associated with the LGE or ECV, whereas NT-proBNP was independently associated with both LGE and ECV, and troponin T was associated with ECV. None of the circulating fibrosis markers differentiated between DCM patients with and without replacement fibrosis, or patients stratified according to median ECV. However, cardiac-specific markers, such as NT-proBNP and hs-TnT, were associated with fibrosis. Levels of circulating markers of fibrosis seem to have no utility in the diagnosis and monitoring of cardiac fibrosis in DCM.

Extracellular volume is an independent predictor of arrhythmic burden in dilated cardiomyopathy.

The current stratification of arrhythmic risk in dilated cardiomyopathy (DCM) is sub-optimal. Cardiac fibrosis is involved in the pathology of arrhythmias; however, the relationship between cardiovascular magnetic resonance (CMR) derived extracellular volume (ECV) and arrhythmic burden (AB) in DCM is unknown. This study sought to evaluate the presence and extent of replacement and interstitial fibrosis in DCM and to compare the degree of fibrosis between DCM patients with and without AB. This is a prospective, single-center, observational study. Between May 2019 and September 2020, 102 DCM patients underwent CMR T1 mapping. 99 DCM patients (88 male, mean age 45.2 ± 11.8 years, mean EF 29.7 ± 10%) composed study population. AB was defined as the presence of VT or a high burden of PVCs. There were 41 (41.4%) patients with AB and 58 (58.6%) without AB. Replacement fibrosis was assessed with late gadolinium enhancement (LGE), whereas interstitial fibrosis with ECV. Overall, LGE was identified in 41% of patients. There was a similar distribution of LGE (without AB 50% vs. with AB 53.7%; p = 0.8) and LGE extent (without AB 4.36 ± 5.77% vs. with AB 4.68 ± 3.98%; p = 0.27) in both groups. ECV at nearly all myocardial segments and a global ECV were higher in patients with AB (global ECV: 27.9 ± 4.9 vs. 30.3 ± 4.2; p < 0.02). Only indexed left ventricular end-diastolic diameter (HR 1.1, 95%CI 1.0-1.2; p < 0.02) and global ECV (HR 1.12, 95%CI 1.0-1.25; p < 0.02) were independently associated with AB. The global ECV cut-off value of 31.05% differentiated both groups (AUC 0.713; 95%CI 0.598-0.827; p < 0.001). Neither qualitative nor quantitative LGE-based assessment of replacement fibrosis allowed for the stratification of DCM patients into low or high AB. Interstitial fibrosis, expressed as ECV, was an independent predictor of AB in DCM. Incorporation of CMR parametric indices into decision-making processes may improve arrhythmic risk stratification in DCM.

Mortality risk in dilated cardiomyopathy: the accuracy of heart failure prognostic models and dilated cardiomyopathy-tailored prognostic model.

AIMS: The aims of this paper were to investigate the analytical performance of the nine prognostic scales commonly used in heart failure (HF), in patients with dilated cardiomyopathy (DCM), and to develop a unique prognostic model tailored to DCM patients. METHODS AND RESULTS: The hospital and outpatient records of 406 DCM patients were retrospectively analysed. The information on patient status was gathered after 48.2 ± 32.0 months. Tests were carried out to ascertain the prognostic accuracy in DCM using some of the most frequently applied HF prognostic scales (Barcelona Bio-Heart Failure, Candesartan in Heart Failure-Assessment of Reduction in Mortality and Morbidity, Studio della Streptochinasi nell'Infarto Miocardico-Heart Failure, Eplerenone in Mild Patients Hospitalization and Survival Study in Heart Failure, Meta-Analysis Global Group in Chronic Heart Failure, MUerte Subita en Insuficiencia Cardiaca, Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients With Heart Failure, Seattle Heart Failure Model) and one dedicated to DCM, that of Miura et al. At follow-up, 70 DCM patients (17.2%) died. Most analysed scores substantially overestimated the mortality risk, especially in survivors. The prognostic accuracy of the scales were suboptimal, varying between 60% and 80%, with the best performance from Barcelona Bio-Heart Failure and Seattle Heart Failure Model for 1-5 year mortality [areas under the receiver operating curve 0.792-0.890 (95% confidence interval 0.725-0.918) and 0.764-0.808 (95% confidence interval 0.682-0.934), respectively].Based on our accumulated data, a self-developed DCM prognostic model was constructed. The model consists of age, gender, body mass index, symptoms duration, New York Heart Association class, diabetes mellitus, prior stroke, abnormal liver function, dyslipidaemia, left bundle branch block, left ventricle end-diastolic diameter, ejection fraction, N terminal pro brain natriuretic peptide, haemoglobin, estimated glomerular filtration rate, and pharmacological and resynchronisation therapy. This newly created prognostic model outperformed the analysed HF scales. CONCLUSIONS: An analysis of various HF prognostic models found them to be suboptimal for DCM patients. A self-developed DCM prognostic model showed improved performance over the nine other models studied. However, further validation of the prognostic model in different DCM populations is required.

Kinetics of selected serum markers of fibrosis in patients with dilated cardiomyopathy and different grades of diastolic dysfunction of the left ventricle.

BACKGROUND: Fibrosis of the extracellular matrix (ECM) in dilated cardiomyopathy (DCM) is common and compromises both systolic and diastolic function. The aim of this study was to investigate the kinetics of ECM fibrosis markers over a 12 month follow-up in patients with DCM based on the severity of diastolic dysfunction (DD). METHODS: Seventy consecutive DCM patients (48 ± 12.1 years, ejection fraction 24.4 ± 7.4%) were included in the study. The grade of DD was determined using the ASE/EACVI algorithm. Markers of ECM fibrosis were measured at baseline and at 3 and 12 month follow-ups: collagen type I and III (PICP, PINP, PIIICP, PIIINP), transforming growth factor beta-1 (TGF1-b), connective tissue growth factor (CTGF) and galectin-3 were measured. RESULTS: Patients were divided into three groups according to DD severity: 30 patients with grade I, 18 with grade II and 22 with grade III of DD. Levels of PICP, PINP were increased over a 12-month period, while PIIINP decreased and PIIICP unchanged. Levels of TGF1-b decreased from the 3 to the 12-month points in grade I and II DD, and in grade III they remained unchanged. Levels of CTGF decreased over 12 months in grade III DD but were unchanged in grades I and II. Galectin-3 levels remained the same over all observation periods, irrespective of DD grade. CONCLUSIONS: Regardless of the DD grade, markers of collagen type I synthesis increased, markers of collagen type III decreased. Levels of TGF and CTGF had a tendency to decrease. Galectin-3 was revealed not to be a marker discriminating the severity of DD.

The burden of atrial fibrillation and its prognostic value in patients with dilated cardiomyopathy.

BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia in patients with dilated cardiomyopathy (DCM). However, the epidemiology as well as clinical and prognostic significance of AF in DCM are poorly defined. AIMS: We aimed to assess the impact and prognostic value of AF in DCM as well as to investigate the concept of AF­induced DCM. METHODS: Hospital records of 285 patients with DCM from 2012 to 2018 with follow-up were analyzed. RESULTS: Atrial fibrillation was present in 89 patients (31%). They were older, more frequently male, hadhigher body mass index, New York Heart Association class, heart rate (HR), creatinine levels, and larger atria (all P < 0.05) than patients without AF. During follow­up (mean [SD], 35 [24] months), death occurred in 20 of the 82 available patients with AF and 22 of the 188 patients without AF (24% and 12%, respectively; P = 0.007). Atrial fibrillation was independently associated with a worse outcome (hazard ratio, 2.4; 95% CI, 1.3-4.3) and was found to be the major cause of DCM in 21 patients (24%). The diagnostic accuracy of the most optimal predictive model for AF­induced DCM was 0.935 (95% CI, 0.903-0.967). Despite numerical differences, survival was similar in DCM patients with and without AF (P = 0.15). CONCLUSIONS: Almost one­third of patients with DCM had AF. Most of the parameters analyzed differed between patients with and without AF, and AF was found to be an independent prognostic factor of DCM. One­fourth of patients with DCM and AF met the diagnostic criteria for AF­induced DCM.

Relations between circulating and myocardial fibrosis-linked microRNAs with left ventricular reverse remodeling in dilated cardiomyopathy.

BACKGROUND: Left ventricular reverse remodeling (LVRR) determines clinical status and outcomes in dilated cardiomyopathy (DCM). The extent of myocardial fibrosis is connected to the systolic function of the heart. The recent discovery of the contribution of microRNAs (miRs) to the regulation of cardiac remodeling, LVRR and fibrosis warrants exploration. OBJECTIVES: The aim of the study was to examine the predictive value of circulating and myocardial miR expression for LVRR in DCM. MATERIAL AND METHODS: Seventy consecutive DCM patients (age 48 ±12.1 years, 90% male, ejection fraction (EF) 24.4% ±7.4%) were included in the study. At baseline, all patients underwent clinical assessment, echocardiography, venous blood sampling, and right ventricular endomyocardial biopsy. Circulating and myocardial miRs (miR-21, -26, -29, -30, -133a, and -423) were measured with quantitative real-time polymerase chain reaction (qRT-PCR). LVRR was defined as an increase in EF ≥ 10%, accompanied by a decrease in left ventricle end-diastolic diameter (LVEDd) ≥10% or LVEDd ≤ 33 mm/m2 between baseline and 3-month follow-up. RESULTS: At the 3-month follow-up, 4 patients had died and 3 patients had incomplete data. The remaining patients were divided according to the presence of LVRR into LVRR-present (n = 32, 51%) and LVRR-absent (n = 31, 49%) groups. Out of all the circulating and tissue miRs under study, only myocardial expression of miR-133a significantly differed between the LVRR-present and LVRR-absent group (1.22 (0.47-1.90) vs 0.61 (0.25-0.99) ΔCq, respectively, p < 0.01). miR-133a was found to be a significant LVRR predictor in unadjusted (odds ratio (OR) = 2.81 (1.23-6.40), p < 0.05) and adjusted for duration of disease, left ventricle end-diastolic (LVED) volume (LVEDvol), hs-troponin-T, and NT-proBNP (OR = 5.20 (1.13-24.050, p < 0.05) models. CONCLUSIONS: From all of the circulating and tissue miRs, only myocardial miR-133a showed increased expression in LVRR-present patients and was found an independent LVRR predictor. This indicates a link between miR-133 and cardiac remodeling in DCM.

Relationships between Pulmonary Hypertension Risk, Clinical Profiles, and Outcomes in Dilated Cardiomyopathy.

Pulmonary hypertension (PH) in patients with heart failure (HF) contributes to a poorer prognosis. However, in those with dilated cardiomyopathy (DCM), the true prevalence and role of PH is unclear. Therefore, this study aimed to analyze the profile of DCM patients at various levels of PH risk, determined via echocardiography, and its impact on outcomes. The 502 DCM in- and out-patient records were retrospectively analyzed. Information on patient status was gathered after 45.9 ± 31.3 months. Patients were divided into 3 PH-risk groups based on results from echocardiography measurements: low (L, n = 239, 47.6%), intermediate (I, n = 153, 30.5%), and high (H, n = 110, 21.9%). Symptom duration, atrial fibrillation, ventricular tachyarrhythmia, ejection fraction, right atrial area, and moderate or severe mitral regurgitation were found to be independently associated with PH risk. During the follow-up period, 83 (16.5%) DCM patients died: 29 (12.1%) in L, 31 (20.3%) in I, and 23 (20.9%) in H. L-patients had a significantly lower risk of all-cause death (L to H: HR 0.55 (95%CI 0.32-0.98), p = 0.01), while no differences in prognosis were found between I and H. In conclusion, over one in five DCM patients had a high PH risk, and low PH risk was associated with better prognoses.

Relationships between left ventricular geometry and remodeling in dilated cardiomyopathy.

BACKGROUND: Since left ventricular reverse remodeling (LVRR) and sphericity index (SI) are correlated with DCM patients' survival, we attempted to establish the relationship between LVRR, SI and left ventricle (LV) dimensions. METHODS: In 70 DCM patients, we measured EF, LV transverse (sLVd) and longitudinal (lLVd) diameters at hospital admission, then after 3 and 12 months. SI was assessed thus: SI=sLVd/lLVd. RESULTS: LVRR was present in 32 patients (52%). SI measurements were similar in LVRR-present and -absent groups at baseline (0.71 vs. 0.70) and differed after 3 and 12 months (0.61 vs. 0.72, P<0.005; 0.59 vs. 0.73, P<0.001; respectively). During 12 months, SI and sLVd decreased in the LVRR-present (0.71 vs. 0.61 vs. 0.59, P<0.05; 5.75 vs. 5.00 vs. 4.82 cm, P<0.001; respectively) and increased in the LVRR-absent cohort (0.70 vs. 0.72 vs. 0.73, P<0.001; 6.01 vs. 6.15 vs. 6.67, P<0.001; respectively). lLVd remained stable (8.23 vs. 8.16 vs. 8.38cm; 8.66 vs. 8.85 vs. 9.13 cm; respectively). SI was significantly correlated with sLVd but not with lLVd. At 3-month follow-up, SI (P<0.005, OR=14000 [95% CI: 5 - 3.9*107]) was found to be a significant LVRR predictor via univariate logistic regression. CONCLUSIONS: To summarize, changes in sLVd are crucial for changes in LV geometry, whereas lLVd has a negligible effect on this process. The presence of LVRR was not always associated with an improvement in SI and its absence with increase in SI. Since the assessment of SI is less complex than LVRR, SI as a significant LVRR predictor can be useful part of a regular echocardiography examination.