Abstract
Aims: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetically determined heart muscle disorder associated with an increased risk of life-threatening arrhythmias in some patients. Risk stratification remains challenging. Therefore, we sought a non-invasive, easily applicable risk score to predict sustained ventricular arrhythmias in these patients. Methods: Cohort of Patients who fulfilled the 2010 ARVC task force criteria were consecutively recruited. Detailed clinical data were collected at baseline and during follow up. The clinical endpoint was a composite of recurrent sustained ventricular arrhythmias and hospitalization due to ventricular arrhythmias. Multivariable logistic regression was used to develop models to predict the arrhythmic risk. A cohort including patients from other registries in UK, Canada and Switzerland was used as a validation population. Results: One hundred and thirty-five patients were included of whom 35 patients (31.9%) reached the endpoint. A model consisting of filtered QRS duration on signal-averaged ECG, non-sustained VT (NSVT) on 24 h-ECG, and absence of negative T waves in lead aVR on 12‑lead surface ECG was able to predict arrhythmic events with a sensitivity of 81.8%, specificity of 84.0% and a negative predictive value of 95.5% at the first presentation of the disease. This risk score was validated in international ARVC registry patients. Conclusion: A risk score consisting of a filtered QRS duration ≥117 ms, presence of NSVT on 24 h-ECG and absence of negative T waves in lead aVR was able to predict arrhythmic events at first presentation of the disease.
| Original language | English |
|---|---|
| Pages (from-to) | 100-105 |
| Number of pages | 6 |
| Journal | International Journal of Cardiology |
| Volume | 290 |
| DOIs | |
| Publication status | Published - Sep 1 2019 |
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Keywords
- Arrhythmic risk
- Arrhythmogenic right ventricular cardiomyopathy
- ICD
- Risk stratification
- Sudden cardiac death
- Ventricular arrhythmia
ASJC Scopus subject areas
- Cardiology and Cardiovascular Medicine
Cite this
Risk score for the exclusion of arrhythmic events in arrhythmogenic right ventricular cardiomyopathy at first presentation. / Vischer, Annina S.; Castelletti, Silvia; Syrris, Petros; Bastiaenen, Rachel; Miles, Chris; Akdis, Deniz; Denhaerynck, Kris; Jacoby, Daniel; Saguner, Ardan M.; Krahn, Andrew D.; Behr, Elijah R.; McKenna, William J.; Pantazis, Antonios.
In: International Journal of Cardiology, Vol. 290, 01.09.2019, p. 100-105.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Risk score for the exclusion of arrhythmic events in arrhythmogenic right ventricular cardiomyopathy at first presentation
AU - Vischer, Annina S.
AU - Castelletti, Silvia
AU - Syrris, Petros
AU - Bastiaenen, Rachel
AU - Miles, Chris
AU - Akdis, Deniz
AU - Denhaerynck, Kris
AU - Jacoby, Daniel
AU - Saguner, Ardan M.
AU - Krahn, Andrew D.
AU - Behr, Elijah R.
AU - McKenna, William J.
AU - Pantazis, Antonios
PY - 2019/9/1
Y1 - 2019/9/1
N2 - Aims: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetically determined heart muscle disorder associated with an increased risk of life-threatening arrhythmias in some patients. Risk stratification remains challenging. Therefore, we sought a non-invasive, easily applicable risk score to predict sustained ventricular arrhythmias in these patients. Methods: Cohort of Patients who fulfilled the 2010 ARVC task force criteria were consecutively recruited. Detailed clinical data were collected at baseline and during follow up. The clinical endpoint was a composite of recurrent sustained ventricular arrhythmias and hospitalization due to ventricular arrhythmias. Multivariable logistic regression was used to develop models to predict the arrhythmic risk. A cohort including patients from other registries in UK, Canada and Switzerland was used as a validation population. Results: One hundred and thirty-five patients were included of whom 35 patients (31.9%) reached the endpoint. A model consisting of filtered QRS duration on signal-averaged ECG, non-sustained VT (NSVT) on 24 h-ECG, and absence of negative T waves in lead aVR on 12‑lead surface ECG was able to predict arrhythmic events with a sensitivity of 81.8%, specificity of 84.0% and a negative predictive value of 95.5% at the first presentation of the disease. This risk score was validated in international ARVC registry patients. Conclusion: A risk score consisting of a filtered QRS duration ≥117 ms, presence of NSVT on 24 h-ECG and absence of negative T waves in lead aVR was able to predict arrhythmic events at first presentation of the disease.
AB - Aims: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetically determined heart muscle disorder associated with an increased risk of life-threatening arrhythmias in some patients. Risk stratification remains challenging. Therefore, we sought a non-invasive, easily applicable risk score to predict sustained ventricular arrhythmias in these patients. Methods: Cohort of Patients who fulfilled the 2010 ARVC task force criteria were consecutively recruited. Detailed clinical data were collected at baseline and during follow up. The clinical endpoint was a composite of recurrent sustained ventricular arrhythmias and hospitalization due to ventricular arrhythmias. Multivariable logistic regression was used to develop models to predict the arrhythmic risk. A cohort including patients from other registries in UK, Canada and Switzerland was used as a validation population. Results: One hundred and thirty-five patients were included of whom 35 patients (31.9%) reached the endpoint. A model consisting of filtered QRS duration on signal-averaged ECG, non-sustained VT (NSVT) on 24 h-ECG, and absence of negative T waves in lead aVR on 12‑lead surface ECG was able to predict arrhythmic events with a sensitivity of 81.8%, specificity of 84.0% and a negative predictive value of 95.5% at the first presentation of the disease. This risk score was validated in international ARVC registry patients. Conclusion: A risk score consisting of a filtered QRS duration ≥117 ms, presence of NSVT on 24 h-ECG and absence of negative T waves in lead aVR was able to predict arrhythmic events at first presentation of the disease.
KW - Arrhythmic risk
KW - Arrhythmogenic right ventricular cardiomyopathy
KW - ICD
KW - Risk stratification
KW - Sudden cardiac death
KW - Ventricular arrhythmia
UR - http://www.scopus.com/inward/record.url?scp=85065625038&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065625038&partnerID=8YFLogxK
U2 - 10.1016/j.ijcard.2019.04.090
DO - 10.1016/j.ijcard.2019.04.090
M3 - Article
C2 - 31104822
AN - SCOPUS:85065625038
VL - 290
SP - 100
EP - 105
JO - International Journal of Cardiology
JF - International Journal of Cardiology
SN - 0167-5273
ER -