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The Electrocardiogram in the Diagnosis and Management of Patients with Hypertrophic Cardiomyopathy.

Finocchiaro, G; Sheikh, N; Biagini, E; Papadakis, M; Maurizi, N; Sinagra, G; Pelliccia, A; Rapezzi, C; Sharma, S; Olivotto, I (2020) The Electrocardiogram in the Diagnosis and Management of Patients with Hypertrophic Cardiomyopathy. Heart Rhythm, 17 (1). pp. 142-151. ISSN 1556-3871
SGUL Authors: Sharma, Sanjay

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In an era of rapid technological development and evolving diagnostic possibilities, the electrocardiogram (ECG) is living an authentic "renaissance" in myocardial diseases. To date, the ECG remains an irreplaceable first step when evaluating patients with hypertrophic cardiomyopathy (HCM) and an abnormal ECG may be the only manifestation of disease at an early stage. In some instances specific electrical anomalies may differentiate HCM from phenocopies such as cardiac amyloidosis and glycogen storage diseases. The exponential growth in knowledge of the complexity of HCM has led to new challenges in terms of early identification of the disease, differential diagnosis, risk stratification and development of targeted therapies. In this scenario the apparently "old fashioned" ECG and the array of ECG-based techniques, ranging from Holter monitoring and loop recorders to exercise testing, are as contemporary as ever. In the present review, we discuss the current role of the ECG in the diagnosis and management of HCM, focusing on various clinical settings where its appropriate use and interpretation can make a difference.

Item Type: Article
Additional Information: © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
Keywords: Hypertrophic cardiomyopathy, diagnosis, electrocardiogram, implantable loop recorder, outcome, 1102 Cardiovascular Medicine And Haematology, 0903 Biomedical Engineering, Cardiovascular System & Hematology
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Journal or Publication Title: Heart Rhythm
ISSN: 1556-3871
Language: eng
13 January 2020Published
10 August 2019Published Online
Publisher License: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Project IDFunderFunder ID
777204Horizon 2020UNSPECIFIED
RF-2013-02356787Italian Ministry of HealthUNSPECIFIED
NET-2011-02347173Italian Ministry of HealthUNSPECIFIED
PubMed ID: 31349064
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