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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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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
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author 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
author_facet 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
author_sort Mavrogeni, Sophie
collection PubMed
description 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.
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spelling pubmed-73825932020-07-29 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 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 Rheumatology (Oxford) Clinical Science 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. Oxford University Press 2020-08 2019-11-25 /pmc/articles/PMC7382593/ /pubmed/31764972 http://dx.doi.org/10.1093/rheumatology/kez494 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the British Society for Rheumatology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Clinical Science
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
Cardiac magnetic resonance predicts ventricular arrhythmias in scleroderma: the Scleroderma Arrhythmia Clinical Utility Study (SAnCtUS)
title Cardiac magnetic resonance predicts ventricular arrhythmias in scleroderma: the Scleroderma Arrhythmia Clinical Utility Study (SAnCtUS)
title_full Cardiac magnetic resonance predicts ventricular arrhythmias in scleroderma: the Scleroderma Arrhythmia Clinical Utility Study (SAnCtUS)
title_fullStr Cardiac magnetic resonance predicts ventricular arrhythmias in scleroderma: the Scleroderma Arrhythmia Clinical Utility Study (SAnCtUS)
title_full_unstemmed Cardiac magnetic resonance predicts ventricular arrhythmias in scleroderma: the Scleroderma Arrhythmia Clinical Utility Study (SAnCtUS)
title_short Cardiac magnetic resonance predicts ventricular arrhythmias in scleroderma: the Scleroderma Arrhythmia Clinical Utility Study (SAnCtUS)
title_sort cardiac magnetic resonance predicts ventricular arrhythmias in scleroderma: the scleroderma arrhythmia clinical utility study (sanctus)
topic Clinical Science
url 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
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