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Background: The performance of heart failure (HF) risk models is validated in the general population with HF but in specific aetiological settings, and specifically in dilated cardiomyopathy (DCM), has scarcely been explored. We tested eight of the main prognostic scores used in HF in a large real-world population of patients with DCM., Methods: We included 784 consecutive DCM patients enrolled, both inpatients and outpatients, enrolled between January 2000 and December 2017. The risk of 1 and/or 3-year all-cause mortality/heart transplantation/durable left ventricular assist device (LVAD) implantation (D/HTx/LVAD) was estimated in our cohort according to the following risk scores SHFM, 3-CHF, CHARM, MAGGIC, GISSI-HF, MECKI, Barcelona Bio-HF, Krakow score and their accuracy calculated through the receiver operator characteristic (ROC) curve analysis., Results: During a median follow-up of 5.8 years (Interquartile Range 3.2-7.6 years), 191 patients (20%) died or underwent HTx/LVAD (158 deaths, 30 heart transplantations, and 3 LVAD implantations). The high missing rate allowed to calculated only four prognostic models (MAGGIC, CHARM, 3-CHF and SHFM). All the scores overestimated the rate of D/HTx/LVAD. The prognostic accuracy was suboptimal for MAGGIC (AUC 0.754) and CHARM (AUC 0.720) scores and only modest for 3-CHF (AUC 0.677) and SHFM (AUC 0.667)., Conclusions: Main prognostic scores for the risk stratification of HF are only partially applicable to real-world patients with DCM. MAGGIC and CHARM scores showed the best accuracy, despite the overestimation of risk. Our findings corroborate the need of specific risk scores for the prognostic stratification of DCM., Clinical Perspective: What is new? The present study is the largest analysis in literature which investigate how the main existing heart failure prognostic risk scores performed in a real-world of dilated cardiomyopathy population, both in- and outpatients. What are the clinical implications? DCM is a stand-alone model of heart failure, where the performance of multiple heart failure prognostic scores for the risk stratification is quite limited. The need for contemporary, dedicated prognostic scores in this disease is increasingly evident., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Background: Postmortem analysis of fetal heart is crucial but challenging. Alternative techniques to autopsy have been studied. We investigate micro-CT diagnostic accuracy in the analysis of fetal heart coming from early and late termination of pregnancy., Methods: Micro-CT and autopsy analyzed human fetal heart using twenty-six indices of cardiac anatomy derived from segmental approach. Sub-analysis of smaller specimens was performed. Primary outcome is the agreement between techniques. Secondary outcomes are sensitivity, specificity, positive and negative predictive value. Indices are defined "visible" or "non-visible" (primary end point) and "normal", "abnormal" or "non-diagnostic" (secondary end point)., Results: Fifty-five cases were included. Agreement was 74.5% and 65.2% for primary end point and 93.3% and 91.8% for secondary end point in general population and in the group of smaller specimens, respectively. Sensitivity, specificity, positive and negative predictive value were 92.8%, 51.8%, 67.1%, 87.2% in the general population and 92.8%, 47.8%, 54.3%, 90.9% in the subgroup of smaller specimens for primary end point. They were 97.3%, 68.3%, 95.1%, 80.0% in the general population and 95.7%, 75.6%, 94.2%, 81.0% in the subgroup of smaller specimens for secondary end point. 86.1% and 91.5% of indices defined as "non-diagnostic" at autopsy would be visible by micro-CT in the two studied populations., Conclusion: Micro-CT represents a valid alternative to autopsy for postmortem evaluation of human fetal heart. We proposed to use micro-CT for initial analysis of fetal heart and to perform autopsy only in unsolved cases or if histological analysis is needed., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2021 The Authors.)

The afterload increase imposed by severe aortic valve stenosis (AS) creates concentric left ventricular (LV) remodeling and diastolic dysfunction (DD), which are both markers of poor clinical outcome. Ideally, a correctly timed surgery for isolated AS can reverse the LV remodeling. However, data on LV DD after aortic valve replacement (AVR) are sparse and contrasting. Aims of the study are to define the markers of a favorable evolution of the DD at follow-up. Patients with severe isolated AS, scheduled for AVR were prospectively enrolled. Transthoracic echocardiography with DD assessment was performed before surgery, and at 12 months after surgery. Global LV longitudinal and circumferential strain, peak atrial longitudinal and contraction strain (PALS, PACS) were obtained at baseline. LV septal biopsy to assess fibrosis was performed at the time of AVR. Sixty-seven patients were enrolled, age 72 ± 8 years, 66% female, ejection fraction 61 ± 8%, E/e' 13 ± 6, PALS 23 ± 7%. Normal estimated left atrial pressure was detected in 19/67 (28%) versus 43/67 (64%) at follow-up (p <0.0001). In the 37 patients with biopsy available, fibrosis was 24 ± 12%. PALS and AS severity were correlated with LV fibrosis (R 2  = 0.19; p = 0.006, and R 2  = 0.15; p = 0.02, respectively). PALS (odds ratio: 1.19 [1.05 to 1.41], p = 0.02) and PACS (odds ratio: 1.24 [1.06 to 1.50], p = 0.006) were the only baseline noninvasive parameters independently associated with normal left atrial pressure at follow-up. Mean follow-up time was 791 ± 245 days, and 8 (12%) patients had cardiovascular events (death, hospital admission due to heart failure or ischemic disease, and onset of atrial fibrillation). Myocardial fibrosis (p = 0.05), baseline PALS (p = 0.004), and PACS (p = 0.03) were associated with cardiovascular events. In conclusion, LV diastolic function generally improves after AVR for severe AS. Baseline PALS, PACS, and LV fibrosis were related to the DD and clinical outcome at follow-up; these parameters might cue a better diastolic response to the afterload correction., (Copyright © 2019 Elsevier Inc. All rights reserved.)