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

OBJECTIVES: 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 magnet...

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Detalles Bibliográficos
Autores principales: Mavrogeni, Sophie, Gargani, Luna, Pepe, Alessia, Monti, Lorenzo, Markousis-Mavrogenis, George, De Santis, Maria, De Marchi, Daniele, 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382593/
https://www.ncbi.nlm.nih.gov/pubmed/31764972
http://dx.doi.org/10.1093/rheumatology/kez494
Descripción
Sumario:OBJECTIVES: 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. METHODS: The Scleroderma Arrhythmia Clinical Utility Study (SAnCtUS) was a prospective multicentre study including 150 consecutive SSc patients from eight European centres, assessed with 24 h Holter and cardiovascular magnetic resonance, including ventricular function, oedema (T2 ratio) and late gadolinium enhancement (%LGE). Laboratory/clinical parameters were included in multivariable corrections. A combined endpoint of sustained ventricular tachycardia requiring hospitalization and sudden cardiac death at a median (interquartile range) follow-up of 1 (1.0–1.4) year was generated. RESULTS: Only T2 ratio and %LGE were significant predictors of ventricular rhythm disturbances, but not of supraventricular rhythm disturbances, after multivariable correction and adjustment for multiple comparisons. Using decision-tree analysis, we created the SAnCtUS score, a four-category scoring system based on T2 ratio and %LGE, for identifying SSc patients at high risk of experiencing ventricular rhythm disturbance at baseline. Increasing SAnCtUS scores were associated with a greater disease and arrhythmic burden. All cases of non-sustained ventricular tachycardia (n = 7) occurred in patients with the highest SAnCtUS score (=4). Having a score of 4 conveyed a higher risk of reaching the combined endpoint in multivariable Cox regression compared with scores 1/2/3 [hazard ratio (95% CI): 3.86 (1.14, 13.04), P = 0.029] independently of left ventricular ejection fraction and baseline ventricular tachycardia occurrence. CONCLUSION: T2 ratio and %LGE had the greatest utility as independent predictors of rhythm disturbances in SSc patients.