Prognostic value of the 12-lead surface electrocardiogram in sarcomeric hypertrophic cardiomyopathy: data from the REMY French register

Author:

Ledieu Nicolas1,Larnier Louis2,Auffret Vincent13,Marie Coralie4,Fargeau Dominique1,Donal Erwan13,Mirabel Mariana256,Jeunemaitre Xavier257,Puscas Tania256,Marijon Eloi256,Reynaud Amélie3,Ritter Philippe3,Lafitte Stephane3,Mabo Philippe13,Réant Patricia4,Daubert Claude3,Hagège Albert A256,

Affiliation:

1. Département de Cardiologie et Maladies Vasculaires, Service de Cardiologie et maladies vasculaires, CHU Rennes, Rennes, France

2. Département de Cardiologie et Maladies Vasculaires, INSERM CMR970, Paris Cardiovascular Research Center - PARCC, Paris, France

3. Département de Cardiologie et Maladies Vasculaires, Univ Rennes, INSERM, LTSI - UMR 1099, F Rennes, France

4. Département de Cardiologie, CHU Bordeaux, Bordeaux, France

5. Département de Cardiologie, Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France

6. Département de Cardiologie et Maladies Vasculaires, Université Paris Descartes, Sorbonne Paris Cité, Paris, France

7. Département de Génétique, Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France

Abstract

Abstract Aims To identify independent electrocardiogram (ECG) predictors of long-term clinical outcome based on standardized analysis of the surface ECG in a large multicentre cohort of patients with sarcomeric hypertrophic cardiomyopathy (HCM). Methods and results Retrospective observational study from the REMY French HCM clinical research observatory. Primary endpoint was a composite of all-cause mortality, major non-fatal arrhythmic events, hospitalization for heart failure (HF), and stroke. Secondary endpoints were components of the primary endpoint. Uni- and multivariable Cox proportional hazard regression analysis was performed to identify independent predictors. Among 994 patients with HCM, only 1.8% had a strictly normal baseline ECG. The most prevalent abnormalities were inverted T waves (63.7%), P-wave abnormalities (30.4%), and abnormal Q waves (25.5%). During a mean follow-up of 4.0 ± 2.0 years, a total of 272 major cardiovascular events occurred in 217 patients (21.8%): death or heart transplant in 98 (9.8%), major arrhythmic events in 40 (4.0%), HF hospitalization in 115 (11.6%), and stroke in 23 (2.3%). At multivariable analysis using ECG covariates, prolonged QTc interval, low QRS voltage, and PVCs of right bundle branch block pattern predicted worse outcome, but none remained independently associated with the primary endpoint after adjustment on main demographic and clinical variables. For secondary endpoints, abnormal Q waves independently predicted all-cause death [hazard ratio (HR) 2.35, 95% confidence interval (CI) 1.23–4.47; P = 0.009] and prolonged QTc the risk of HF hospitalization (HR 1.006, 95% CI 1.001–1.011; P = 0.024). Conclusion The 12-lead surface ECG has no independent value to predict the primary outcome measure in patients with HCM. The 12-lead surface ECG has been widely used as a screening tool in HCM but its prognostic value remains poorly known. The value of baseline surface ECG to predict long-term clinical outcomes was studied in a cohort of 994 patients with sarcomeric HCM. The surface ECG has no significant additional value to predict outcome in this patient population

Funder

Sanofi Genzyme

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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