Cardiac rhythm disturbances constitute the most frequent cardiovascular cause of death in SSc. However, electrocardiographic findings are not a part of risk stratification in SSc. We aimed to translate 24 h Holter findings into a tangible risk prediction score using cardiovascular magnetic resonance.

Cardiac magnetic resonance predicts ventricular arrhythmias in scleroderma: the Scleroderma Arrhythmia Clinical Utility Study (SAnCtUS) / Mavrogeni, Sophie; Gargani, Luna; Pepe, Alessia; Monti, Lorenzo; Markousis-Mavrogenis, George; Santis, Maria De; Marchi, Daniele De; Koutsogeorgopoulou, Loukia; Karabela, Georgia; Stavropoulos, Efthymios; Katsifis, Gikas; Bratis, Konstantinos; Bellando-Randone, Silvia; Guiducci, Serena; Bruni, Cosimo; Moggi-Pignone, Alberto; Dimitroulas, Theodoros; Kolovou, Genovefa; Bournia, Vasiliki-Kalliopi; Sfikakis, Petros P; Matucci-Cerinic, Marco. - In: RHEUMATOLOGY. - ISSN 1462-0324. - ELETTRONICO. - (2020), pp. 1938-1948. [10.1093/rheumatology/kez494]

Cardiac magnetic resonance predicts ventricular arrhythmias in scleroderma: the Scleroderma Arrhythmia Clinical Utility Study (SAnCtUS)

Gargani, Luna;Bellando-Randone, Silvia;Guiducci, Serena;Bruni, Cosimo;Moggi-Pignone, Alberto;Matucci-Cerinic, Marco
2020

Abstract

Cardiac rhythm disturbances constitute the most frequent cardiovascular cause of death in SSc. However, electrocardiographic findings are not a part of risk stratification in SSc. We aimed to translate 24 h Holter findings into a tangible risk prediction score using cardiovascular magnetic resonance.
2020
1938
1948
Goal 3: Good health and well-being for people
Mavrogeni, Sophie; Gargani, Luna; Pepe, Alessia; Monti, Lorenzo; Markousis-Mavrogenis, George; Santis, Maria De; Marchi, Daniele De; Koutsogeorgopoulo...espandi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1180521
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