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. - (2020), pp. 1938-1948. [10.1093/rheumatology/kez494]
Cardiac magnetic resonance predicts ventricular arrhythmias in scleroderma: the Scleroderma Arrhythmia Clinical Utility Study (SAnCtUS)
Matucci-Cerinic, MarcoUltimo
2020-01-01
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.| File | Dimensione | Formato | |
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