Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783563275497111552 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7382593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT mavrogenisophie cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT garganiluna cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT pepealessia cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT montilorenzo cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT markousismavrogenisgeorge cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT desantismaria cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT demarchidaniele cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT koutsogeorgopoulouloukia cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT karabelageorgia cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT stavropoulosefthymios cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT katsifisgikas cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT bratiskonstantinos cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT bellandorandonesilvia cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT guiducciserena cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT brunicosimo cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT moggipignonealberto cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT dimitroulastheodoros cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT kolovougenovefa cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT bourniavasilikikalliopi cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT sfikakispetrosp cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus AT matuccicerinicmarco cardiacmagneticresonancepredictsventriculararrhythmiasinsclerodermathesclerodermaarrhythmiaclinicalutilitystudysanctus |