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Cardiomiopatie rare - Work up diagnostico e guida al trattamento in età adulta
No full textCapitolo dedicato al work up diagnostico e guida al trattamento delle cardiomiopatie in età adult
sj-docx-1-tej-10.1177_20417314231190147 – Supplemental material for Engineered heart tissue maturation inhibits cardiomyocyte proliferative response to cryoinjury
No full textSupplemental material, sj-docx-1-tej-10.1177_20417314231190147 for Engineered heart tissue maturation inhibits cardiomyocyte proliferative response to cryoinjury by Giulio Ciucci, Karim Rahhali, Giovanni Cimmino, Francesco Natale, Paolo Golino, Gianfranco Sinagra, Chiara Collesi and Francesco S Loffredo in Journal of Tissue Engineering</p
Chapter 3: Pathophysiology
Full text linkThe hallmark pathophysiologic feature of dilated cardiomyopathy is systolic dysfunction. Several pathogenetic mechanisms appear to be operative. These include increased hemodynamic overload, ventricular remodeling, excessive neurohumoral stimulation, abnormal myocyte calcium cycling, excessive or inadequate proliferation of the extracellular matrix, accelerated apoptosis, and genetic mutations. Although beneficial in the early stages of heart failure, these compensatory mechanisms eventually lead to a vicious cycle of worsening heart failure. Genetic causes account for 30–40% of DCM and involve genes that encode a heterogeneous group of molecules that participate in force generation, force transmission, sarcomere integrity, cytoskeletal and nuclear architecture, electrolyte homeostasis, mitochondrial function, and transcription. Additional research will improve our understanding of the complex and longitudinal molecular changes that lead from gene mutation to clinical expressio
Dilated Cardiomyopathy. From Genetics to Clinical Management
Full text linkThe current definition of dilated cardiomyopathy (DCM) is relatively simple: it is a heart muscle disease characterized by left ventricular (LV) or biventricular dilation and systolic dysfunction in the absence of either pressure or volume overload or coronary artery disease sufficient enough to explain the dysfunction. In the last 30 years, prognosis of patients with DCM has dramatically been improved with few
similarities in the history of cardiology and medicine. Typically, in the 1980s, the average survival rate was approximately 50% in a 5-year follow-up. Nowadays, at 10 years of follow-up, the survival/free from heart transplant rate is far beyond 85%, and the projection of this improvement is significantly better for those who have had DCM diagnosed in the late 2010s. This improvement in outcomes is fundamentally due to a better characterization of etiological factors, medical management for heart failure, and device treatment, like the implantable cardioverter defibrillator (ICD), for sudden cardiac death prevention. However, other milestones should be recognized for the improvement in the survival rate, namely, the early diagnosis due to familial and sport-related screening, which allow detection of DCM at a less severe stage, and the uninterrupted, active, and individualized long-term follow-up with continuous reevaluation of the disease and re-stratification of the risk
Chapter 12: Prognostic Stratification and Importance of Follow-Up
No full textIn the last decades, long-term survival of patients affected by dilated cardiomyopathy (DCM) has been markedly improved. The main milestones, such as the early diagnosis and the systematic follow-up, the proper etiological characterization at the onset of the disease, and a multidisciplinary approach to the patients together with the optimal medical and device treatment and the rigorous tailored follow-up, accompanied these prognostic improvements. However, DCM still remains the most common cause of heart transplantation and one of the leading causes of cardiac death in the western world. Therefore, proper prognostic stratification and systematic follow-up are the cornerstones to optimize medical management and improve outcomes of patients with DCM
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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