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Sudden Cardiac Death: Predictors, Prevalence & Clinical Perspectives (Cardiology Research and Clinical Developments)

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Description

This is a detailed clinical compilation on sudden cardiac death causes. From the various geographical regions of the world comes different clinical perspectives toward the SCD problem that shed light on the predictors and estimated prevalence in genetic inheritance worldwide. For many centuries, the mysterious deaths of prominent professional sportsmen have preoccupied the attention of the media and medical professionals. In some cases, it was possible to obtain the medical histories of the victims, data on the presence of some specific diseases, and conditions or potential symptoms preceding the fatal episode. Various rare inherited syndromes that are associated with congenital heart disease are focused on in this study, and the interrelationship between ventricular premature beats, sustained/non-sustained ventricular tachycardias and ventricular fibrillations are discussed. Cardio-oncology is an emerging field where more and more patients face consequences from radiotherapy and chemotherapy because these individuals become more prone to SCD. Among the most notable developments, three-dimensional echocardiography and myocardial strain imaging are worth noting and might inexpensively improve the current risk stratification process. Recently, a strain that reflects the change of length and thickness of myocardial fibres has been incorporated into the routine clinical practice. The risk of sudden cardiac death is not the same in patients with Chagas disease, and newly predicted factors are to blame. The prevalence of SCD, hypertrophic cardiomyopathy and the accurate risk are extremely challenging, so much so that they recently became a source of argument between European and American experts. This is a must-have book for those interested in a clinical approach to the SCD phenomenon.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 July 2017
Listed Since
19 April 2017

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No barcode data available

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